<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD v1.0 20120330//EN" "JATS-archivearticle1.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" article-type="research-article"><?properties manuscript?><front><journal-meta><journal-id journal-id-type="nlm-journal-id">101492916</journal-id><journal-id journal-id-type="pubmed-jr-id">35648</journal-id><journal-id journal-id-type="nlm-ta">Am J Intellect Dev Disabil</journal-id><journal-id journal-id-type="iso-abbrev">Am J Intellect Dev Disabil</journal-id><journal-title-group><journal-title>American journal on intellectual and developmental disabilities</journal-title></journal-title-group><issn pub-type="ppub">1944-7515</issn><issn pub-type="epub">1944-7558</issn></journal-meta><article-meta><article-id pub-id-type="pmid">31026202</article-id><article-id pub-id-type="pmc">6554647</article-id><article-id pub-id-type="doi">10.1352/1944-7558-124.3.248</article-id><article-id pub-id-type="manuscript">HHSPA1029160</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Anti-Hypertensive Medication Use and Factors Related to Adherence
Among Adults With Intellectual and Developmental Disabilities</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Cyrus</surname><given-names>Alissa C.</given-names></name><aff id="A1">Centers for Disease Control and Prevention, Division of Human
Development and Disability</aff></contrib><contrib contrib-type="author"><name><surname>Royer</surname><given-names>Julie</given-names></name><aff id="A2">South Carolina Revenue and Fiscal Affairs Office</aff></contrib><contrib contrib-type="author"><name><surname>Carroll</surname><given-names>Dianna D.</given-names></name><aff id="A3">Centers for Disease Control and Prevention, Division of Human
Development and Disability</aff></contrib><contrib contrib-type="author"><name><surname>Courtney-Long</surname><given-names>Elizabeth A.</given-names></name><aff id="A4">Centers for Disease Control and Prevention, Division of Human
Development and Disability</aff></contrib><contrib contrib-type="author"><name><surname>McDermott</surname><given-names>Suzanne</given-names></name><aff id="A5">Department of Epidemiology and Biostatistics, Arnold School of
Public Health, University of South Carolina</aff></contrib><contrib contrib-type="author"><name><surname>Turk</surname><given-names>Margaret A.</given-names></name><aff id="A6">Department of Physical Medicine and Rehabilitation, SUNY Upstate
Medical University.</aff></contrib></contrib-group><author-notes><corresp id="CR1">Correspondence concerning this article should be addressed to
Alissa C. Cyrus, Centers for Disease Control and Prevention, Division of Human
Development and Disability, 4770 Buford Hwy, Mail Stop E-88, Atlanta, GA,
30341-3717, USA, (<email>acyrus@cdc.gov</email>).</corresp></author-notes><pub-date pub-type="nihms-submitted"><day>14</day><month>5</month><year>2019</year></pub-date><pub-date pub-type="ppub"><month>5</month><year>2019</year></pub-date><pub-date pub-type="pmc-release"><day>01</day><month>5</month><year>2020</year></pub-date><volume>124</volume><issue>3</issue><fpage>248</fpage><lpage>262</lpage><!--elocation-id from pubmed: 10.1352/1944-7558-124.3.248--><abstract id="ABS1"><p id="P1">Adults with intellectual and developmental disabilities (IDD) are known
to experience significant health disparities; however, few studies have
described anti-hypertensive medication adherence in this population. Using
administrative data from South Carolina from 2000&#x02013;2014, we evaluated the
odds of adherence to anti-hypertensive medication among a cohort of adults with
IDD and hypertension. Approximately half (49.5%) of the study cohort were
adherent to anti-hypertensive medication. Those who lived in a supervised
residence, had a Medicaid waiver, and had more frequent contact with a primary
care provider were more likely to be adherent. Organizations that serve people
with IDD have an opportunity to increase adherence by educating these
individuals, their family members, and caregivers about the importance of
adherence to anti-hypertensive medication.</p></abstract><kwd-group><kwd>intellectual disability</kwd><kwd>developmental disabilities</kwd><kwd>hypertension</kwd><kwd>anti-hypertensive agents</kwd><kwd>Medicaid</kwd><kwd>prevalence</kwd></kwd-group></article-meta></front><body><p id="P2">Approximately 30%, or about 75 million, U.S. adults have hypertension (<xref rid="R18" ref-type="bibr">Merai et al., 2016</xref>), a key treatable risk factor
for cardiovascular disease (<xref rid="R5" ref-type="bibr">Chobanian et al.,
2003</xref>). Lifestyle interventions, such as weight loss, reducing dietary salt
intake, and exercise, have been shown to reduce blood pressure, but treatment with one
or more anti-hypertensive medications is often necessary to achieve optimal blood
pressure control (<xref rid="R41" ref-type="bibr">Weber et al., 2014</xref>). Despite
these well-known treatment strategies, nearly half of U.S. adults with hypertension do
not have it under control (<xref rid="R43" ref-type="bibr">Yoon, Fryar, &#x00026; Carroll,
2015</xref>), which has been associated with adverse cardiovascular outcomes and
increased healthcare costs, and is largely attributed to non-adherence to
anti-hypertensive medication (<xref rid="R13" ref-type="bibr">Ho, Bryson, &#x00026;
Rumsfeld, 2009</xref>; <xref rid="R17" ref-type="bibr">Mazzaglia et al.,
2009</xref>; <xref rid="R26" ref-type="bibr">Ritchey et al., 2016</xref>).</p><p id="P3">Estimates of non-adherence in the U.S. range widely; one national study of
administrative claims data estimated non-adherence at 18.4% (<xref rid="R10" ref-type="bibr">Elliott, Plauschinat, Skrepnek, &#x00026; Gause, 2007</xref>), while
estimates among certain Medicare and Medicaid populations are higher, 26.3% and 45% to
75%, respectively (<xref rid="R2" ref-type="bibr">Bailey et al., 2014</xref>; <xref rid="R26" ref-type="bibr">Ritchey et al., 2016</xref>; <xref rid="R30" ref-type="bibr">Shaya et al., 2009</xref>; <xref rid="R39" ref-type="bibr">Vacek,
Hunt, &#x00026; Shireman, 2013</xref>). A recent study among Medicare beneficiaries
found a substantial decrease in cardiovascular events for those reaching a specified
adherence threshold (&#x02265;80% of days were covered by prescription fills) (<xref rid="R42" ref-type="bibr">Yang, Chang, Ritchey, &#x00026; Loustalot, 2017</xref>).
Therefore, it is important to understand anti-hypertensive treatment patterns and
identify contributors or barriers to adherence in order to address blood pressure
control. Several factors have been found to contribute to non-adherence, including
patient-related factors such as age, race, socioeconomic status, and the presence of
comorbidities, as well as factors related to health care providers and systems, and
complexity of treatment regimens (<xref rid="R2" ref-type="bibr">Bailey et al.,
2014</xref>; <xref rid="R29" ref-type="bibr">Sabat&#x000e9;, 2003</xref>; <xref rid="R30" ref-type="bibr">Shaya et al., 2009</xref>; <xref rid="R31" ref-type="bibr">Siegel, Lopez, &#x00026; Meier, 2007</xref>). However, certain sub-populations may
experience unique health needs, which, in turn, may affect treatment and adherence in
ways that differ from the general population. One such population is adults with
intellectual and developmental disabilities (IDD); intellectual disability begins before
the age of 18 and is defined by problems with both intellectual functioning and adaptive
behavior, while developmental disability is a broader term that encompasses both
intellectual disability as well as other disabilities beginning in childhood (<xref rid="R21" ref-type="bibr">National Institutes of Health, 2016</xref>). Adults with
IDD are a population known to experience significant health differences and disparities
as compared with adults without IDD or other disabilities and on whom there are sparse
data available from population-based health surveys (<xref rid="R7" ref-type="bibr">Cooper et al., 2015</xref>; <xref rid="R11" ref-type="bibr">Havercamp &#x00026; Scott,
2015</xref>; <xref rid="R12" ref-type="bibr">Havercamp, Scandlin, &#x00026; Roth,
2004</xref>; <xref rid="R38" ref-type="bibr">U.S. Department of Health and Human
Services, 2005</xref>). There are previous studies describing hypertension among
adults with functional limitations (<xref rid="R25" ref-type="bibr">Pharr &#x00026; Bungum,
2012</xref>; <xref rid="R34" ref-type="bibr">Stevens, Courtney-Long, Gillespie,
&#x00026; Armour, 2014</xref>). Studies that have considered hypertension in adults with
IDD are few, and report comparable prevalence of hypertension as the general population
(<xref rid="R8" ref-type="bibr">de Winter, Bastiannse, Hilgenkamp, Evenhuis, &#x00026;
Echteld, 2012</xref>), poor screening/recognition and poor receipt of chronic care
management (<xref rid="R7" ref-type="bibr">Cooper et al., 2015</xref>; <xref rid="R6" ref-type="bibr">Cooper et al., 2018</xref>; <xref rid="R8" ref-type="bibr">de Winter
et al., 2012</xref>), and higher risk of death from cardiovascular causes (<xref rid="R24" ref-type="bibr">O&#x02019;Leary, Cooper, &#x00026; Hughes-McCormack,
2017</xref>); a single study noted limited adherence (<xref rid="R39" ref-type="bibr">Vacek et al., 2013</xref>). Given the dearth of health data on this
population, we sought to assess factors potentially related to adherence to
anti-hypertensive medication among adults with IDD, using administrative data from South
Carolina.</p><sec id="S1"><title>Methods</title><p id="P4">The South Carolina Revenue and Fiscal Affairs Office, Health and Demographic
Section (H &#x00026; D), is a central state repository for health and human service
data. Data housed at H &#x00026; D and utilized for this project originated from
Medicaid, the Department of Disabilities and Special Needs (DDSN), and the
Department of Social Services. Through a series of statutes and agreements, agencies
and organizations entrust data to H &#x00026; D while retaining access control at all
times. We obtained data use agreements from participating organizations, and the
data linkages and analyses were performed at the H &#x00026; D. Non-H &#x00026; D
investigators received aggregated data for review. Procedures for the protection of
human subjects were reviewed and approved by the University of South Carolina
Institutional Review Board.</p><sec id="S2"><title>IDD Cohort</title><p id="P5">We searched the South Carolina Medicaid fee-for-service (FFS) and health
management organization (HMO) claims for <italic>International Classification of
Diseases, Ninth Revision, Clinical Modification</italic> (ICD-9-CM) codes
related to IDD for the study period 2000&#x02013;2014. The ICD-9-CM codes used
were based on the disability-related condition algorithms available from the
chronic conditions data warehouse of the Centers for Medicaid and Medicare
Services (<xref rid="T1" ref-type="table">Table 1</xref>). Medicaid members were
included in the IDD cohort if three criteria were met: (1) they were 22 to 64
years of age during the study period; (2) they had either an inpatient encounter
or two other service encounters (excluding pharmacy and laboratory claims) with
an IDD diagnosis code at least 30 days apart; and (3) they had at least one
calendar year of eligibility during the study period.</p></sec><sec id="S3"><title>Adherence Study Cohort</title><p id="P6">Once the IDD cohort (<italic>N =</italic> 22,463) was established, we
searched all member FFS and HMO medical and pharmacy claims during the study
period for hypertension diagnosis codes and anti-hypertensive medications.
Cohort members were only identified as having hypertension if a code was present
on at least one inpatient encounter or two outpatient service encounters at
least 30 days apart (<xref rid="T1" ref-type="table">Table 1</xref>). We
selected anti-hypertensive medications from the following therapeutic classes:
diuretics, beta-blockers, angiotensin converting enzyme (ACE) inhibitors,
angiotensin II receptor blockers, calcium-channel blockers, alpha blockers,
alpha-2 receptor agonists, central agonists, peripheral adrenergic inhibitors,
vasodilators, and renin inhibitors. Combination medications were also selected.
A minimum of two prescription claims or at least a 60-day supply was required
for cohort members to be identified as having a prescription for
anti-hypertensive medication. A total of 6,429 members were identified as having
both a hypertension diagnosis and an anti-hypertensive medication
prescription.</p><p id="P7">All members with their first anti-hypertensive medication prescription
during the study period and who were continuously eligible in the year following
their first prescription (here-inafter referred to as
&#x02018;&#x02018;measurement year&#x02019;&#x02019;) were selected to further study
anti-hypertensive medication adherence (<italic>N =</italic> 3,909). In order to
establish the measurement year as the baseline year, a two-year
&#x02018;&#x02018;clean&#x02019;&#x02019; period during which no anti-hypertensive
medications were identified prior to the measurement year was required. For
&#x02018;&#x02018;first&#x02019;&#x02019; prescriptions identified in 2000 and 2001
of the study period, claims from 1998 and 1999 were searched for
anti-hypertensive medications and all members with claims were excluded. Members
with IDD and a hypertension diagnosis code who were dually covered (Medicaid
plus commercial insurance or Medicare), pregnant, had end-stage renal disease or
were organ-transplant recipients were excluded from further analysis.
Additionally, all members must have had an essential hypertension code (401.x)
(i.e., their hypertension was primary and not caused by another medical
condition) during the first six months of the measurement year. This requirement
and exclusion criteria are consistent with Healthcare Effectiveness Data
Information Set (HEDIS) recommendations (<xref rid="R20" ref-type="bibr">National Committee for Quality Assurance, 2003</xref>). A total of 1,573
members remained in the adherence study cohort.</p><p id="P8">Anti-hypertensive medication claims identified during a member&#x02019;s
measurement year were selected to calculate adherence. The proportion of days
covered (PDC) measures the number of days a prescription is on-hand during the
measurement period and divides by the total number of days in the measurement
period (365 days for this study). PDC is the National Committee for Quality
Assurance/National Quality Forum endorsed measure for studying medication
adherence in administrative pharmacy claims data, aligns with current standards
from the Pharmacy Quality Alliance, and is preferred over the simple summation
of &#x02018;&#x02018;days of supply&#x02019;&#x02019; (<xref rid="R22" ref-type="bibr">Nau, n.d.</xref>). Macro coding which allows for a PDC
calculation at both the therapeutic class and patient disease level, was
utilized for this study (<xref rid="R40" ref-type="bibr">Wang, Huang, &#x00026;
Traubenberg, 2013</xref>). Consistent with recent studies, we considered PDC
greater or equal to 80% to be adherent, a level shown to be associated with
decreased risk of adverse cardiovascular events (<xref rid="R26" ref-type="bibr">Ritchey et al., 2016</xref>; <xref rid="R42" ref-type="bibr">Yang et al.,
2017</xref>).</p></sec><sec id="S4"><title>Covariates</title><p id="P9">We included age, sex, race, county type, presence of a specific IDD code,
receipt of supplemental nutrition assistance program (SNAP; previously referred
to as Food Stamps) for at least three months during the study period,
residential service setting, primary care visits, receipt of support services,
and comorbid conditions. County type was determined using the zip code
approximation rural-urban commuting area codes and was aggregated into one of
four categories: (1) urban focused, (2) large rural city, (3) small rural town
and (4) isolated small rural town (<xref rid="R28" ref-type="bibr">Rural Health
Research Center, n.d.</xref>). Members with a diagnosis code for autism,
cerebral palsy, Down syndrome, other genetic condition or fetal alcohol syndrome
were considered to have a specific condition diagnosis code. Members with
mild-to-profound or unspecified intellectual disability and no specific
condition codes comprised a second group (<xref rid="T1" ref-type="table">Table
1</xref>). SNAP eligibility, included as a proxy for poverty, requires proof
of household or individual income below the federal poverty level.</p><p id="P10">Information on residential service setting was compiled from Medicaid
and DDSN files and categorized as the following: (1) supervised community-based
settings, including supervised apartment living, assisted living facilities,
boarding homes, group homes, and community residential care facilities; (2)
nursing home facilities and intermediate care facilities for those with IDD
(ICF/ID) or (3) home. Nursing homes and ICF/ID are group living facilities which
provide 24 hours a day active treatment and health services for individuals with
IDD (<xref rid="R4" ref-type="bibr">Centers for Medicare &#x00026; Medicaid
Services, n.d.</xref>). A variable indicating receipt of support services
was compiled from Medicaid data if a member was on an IDD-related waiver for at
least 90 days during the measurement year (<xref rid="R33" ref-type="bibr">South
Carolina Department of Disabilities and Special Needs, 2017</xref>).</p><p id="P11">Primary care visits were estimated from the administrative claims data.
In the U.S., multiple specialties provide primary care. Therefore, a visit was
considered primary care if: (1) an office, other outpatient service, or nursing
home evaluation and management Current Procedural Terminology (CPT) code was
noted on the encounter claim; and (2) the rendering physician specialty was
recorded as primary care (e.g., family practice, general practice, internal
medicine, pediatrician); or the service was provided by a nurse practitioner. In
addition, all-inclusive visits occurring in a federally qualified health
department or rural health center were counted as primary care visits. Comorbid
conditions were identified using the Charlson Comorbidity Index, a set of
conditions associated with elevated mortality risk and defined by ICD-9-CM codes
from claims data (<xref rid="R9" ref-type="bibr">D&#x02019;Hoore, Bouckaert,
&#x00026; Tilquin, 1996</xref>).</p></sec><sec id="S5"><title>Statistical Analyses</title><p id="P12">We calculated the prevalence of hypertension and sample characteristics
for all members with IDD and the adherence study cohort as well as types and
numbers of anti-hypertensive medications used by adherence study cohort members.
We also calculated frequencies of selected characteristics of members of the
adherence study cohort during the measurement year, stratified by 80% PDC. We
evaluated the odds of having a PDC of 80% or higher during the measurement year
using a multivariate logistic regression model. The model included community and
other support-related variables (residential setting, primary care visits,
waiver support services) as well as demographic characteristics (age, sex, race,
county type, specific IDD code, SNAP), number of medication types, and comorbid
conditions. Data in Tables 1&#x02013;3 represent 100% of Medicaid beneficiaries
meeting the inclusion criteria; therefore, confidence intervals are not shown.
All analyses were conducted using SAS 9.4 (SAS Institute, Cary, North
Carolina).</p></sec></sec><sec id="S6"><title>Results</title><p id="P13">We identified 22,463 members with IDD in the study period 2000&#x02013;2014,
of whom 42.2% were identified as having a hypertension diagnosis (<xref rid="T1" ref-type="table">Table 1</xref>). A total of 1,573 members met criteria for
inclusion in our adherence study cohort (<xref rid="T1" ref-type="table">Table
1</xref>). Most (81%) adherence study cohort members were born between 1947 and
1980, making them slightly older than all members with IDD, of whom 73.8% were born
between 1958 and 1992. Overall, 62.9% of the adherence study cohort were
Black/African American, and 64.5% received SNAP for at least three months during the
study period compared with half (45.9% and 50.4%, respectively) of all members with
IDD. Slightly over half (52.7%) of the adherence study cohort was male, most (61.3%)
lived in an urban focused area, and approximately one-third (32.7%) had a specific
IDD code recorded. Certain comorbid conditions, including ADHD/anxiety, urinary
retention, or &#x02018;&#x02018;other severe mental health condition&#x02019;&#x02019;
were recorded for 15.5%, 2.4%, and 42.0% of the adherence study cohort, respectively
(<xref rid="T1" ref-type="table">Table 1</xref>).</p><p id="P14">For both the entire study period and the adherence study measurement year,
the most common type of medication prescribed to the adherence study cohort were
diuretics (67.1% and 52.5%, respectively). Over the study period, 28.2% of the
adherence study cohort had one medication type and 71.8% had two or more types
recorded. During the measurement year, slightly over half (50.6%) had one medication
type recorded (<xref rid="T2" ref-type="table">Table 2</xref>).</p><p id="P15">Approximately half (49.5%) of the adherence study cohort reached &#x02265;80%
PDC (i.e., were considered adherent to anti-hypertensive medication). Compared with
those with &#x0003c;80% PDC, those who were adherent were older (45&#x02013;54 years,
26.4% vs. 23.0%; 55&#x02013;64 years: 13.2% vs. 8.6%), male (54.2% vs. 51.3%), White
(34.3% vs. 28.2%), had a specific IDD code recorded (34.3% vs. 26.3%), did not
receive SNAP (42.1% vs. 29.0%), and lived in community-based settings (19.4% vs.
5.9%) or nursing home or ICF/ID facility (7.6% vs. 1.9%). Most (85.0%) of those who
were adherent to anti-hypertensive medication had one or more primary care visits
recorded, compared with 80.5% of those who were not adherent. Over one-third (36.4%)
of those who were adherent were on a waiver for at least 90 days compared with 18.9%
of those who were not adherent. Those who were adherent had a higher number of
medication types recorded than those who were not adherent (two types: 30.9% vs.
25.8%; three or more types: 18.4% vs. 6.3%). Rural-urban residence areas and
comorbid conditions, with the exception of mental health or substance use
comorbidity, which was more prevalent in those who were not adherent, were similar
between the two groups (<xref rid="T3" ref-type="table">Table 3</xref>).</p><p id="P16">In multivariate analyses, Black/African American cohort members were less
likely than their White counterparts to reach &#x02265;80% PDC (<italic>aOR</italic>:
0.68, 95% CI: 0.53, 0.87), as were those who received SNAP during the measurement
year (<italic>aOR</italic>: 0.74, 95% CI: 0.58, 0.94). Those with a mental
health/substance use comorbid condition were also less likely to be adherent
(<italic>aOR</italic>: 0.72, 95% CI: 0.55, 0.95). Adherence study cohort members
who lived in community-based settings, and those who lived in nursing home or ICF/ID
facilities were more likely to be adherent than those who lived in unsupervised
settings (<italic>aOR</italic>: 4.20, 95% CI: 2.86, 6.19 and <italic>aOR</italic>:
5.49, 95% CI: 2.94, 10.22, respectively). Additionally, those with at least one
primary care visit (<italic>aOR</italic>: 1.40, 95% CI: 1.04, 1.89), those who were
on a waiver for at least 90 days (<italic>aOR</italic>: 2.68, 95% CI: 2.07, 3.47),
and those taking two and three or more medication types (<italic>aOR</italic>: 1.76,
95% CI: 1.37, 2.25 and <italic>aOR</italic>: 5.02, 95% CI: 3.44, 7.33, respectively)
were more likely to be adherent (<xref rid="T4" ref-type="table">Table
4</xref>).</p></sec><sec id="S7"><title>Discussion</title><p id="P17">Overall, we found that just over 40% of adults with IDD had a diagnosis of
hypertension, and approximately half of the adults in our adherence study cohort
were considered to be adherent to anti-hypertension medication. We identified
several factors supportive of adherence to anti-hypertensive medication refills
among adults with IDD, including living in a supervised residence, being on a
Medicaid waiver, and having more frequent contact with primary care providers.</p><p id="P18">We found that 42% of adults with IDD had hypertension, which is higher than
prevalence estimates among similarly aged cohorts in the US general population
(<xref rid="R43" ref-type="bibr">Yoon et al., 2015</xref>). While still higher,
it is similar to estimates for adults with functional cognitive limitation in the
U.S. (<xref rid="R34" ref-type="bibr">Stevens et al., 2014</xref>). The high
proportion of Black/African Americans in our analysis cohort may have contributed to
this higher percentage given that hypertension is more common among Black/African
Americans than other racial/ethnic groups (<xref rid="R5" ref-type="bibr">Chobanian
et al., 2003</xref>; <xref rid="R19" ref-type="bibr">National Center for Health
Statistics, 2016</xref>). Only half of our adherence study cohort was considered
adherent to prescribed anti-hypertensive medication, which is lower than the nearly
7 in 10 U.S. adults with hypertension who report taking medication (<xref rid="R3" ref-type="bibr">Centers for Disease Control and Prevention, 2011</xref>), but
similar to the 55% adherence noted in a study of Kansas Medicaid recipients with
developmental disabilities (<xref rid="R39" ref-type="bibr">Vacek et al.,
2013</xref>). However, the adherence rate in our study differs in a substantial
way from studies that included a cohort with broadly defined disability. A recent
study of Medicare Part D beneficiaries over the age of 65 years reported a 68.0%
adherence rate in those whose initial entitlement reason was any type of disability
(<xref rid="R26" ref-type="bibr">Ritchey et al., 2016</xref>). A 2009 study by
Shaya et al., reported 24.8% adherence in an analysis of continuously enrolled,
nonelderly Maryland Medicaid recipients; the Shaya et al., study did not look
specifically at disability, but the Medicaid population is more likely to have a
disability than the non-Medicaid population (<xref rid="R1" ref-type="bibr">Anderson, Armour, Finkelstein, &#x00026; Wiener, 2010</xref>).</p><p id="P19">In our study, Black/African American cohort members were less likely to be
adherent, as were those who received SNAP during the measurement year, and those
with a noted mental health or substance use comorbidity. SNAP participation was not
included in our study as a proxy for nutritional status. Rather, we used it as a
surrogate for poverty, since only people at or below the federal poverty level are
eligible for the benefit. Prior studies have identified race, substance use, and
depression as risk factors for non-adherence among Medicaid (<xref rid="R2" ref-type="bibr">Bailey et al., 2014</xref>) and veteran (<xref rid="R31" ref-type="bibr">Siegel et al., 2007</xref>) populations, and higher
non-adherence rates have been noted among Medicaid Part D enrollees living in
poverty (<xref rid="R26" ref-type="bibr">Ritchey et al., 2016</xref>).</p><p id="P20">Findings from our study showed that those living in more supervised settings
(nursing home, ICF/ID, or supervised community setting) had statistically
significantly higher adherence to anti-hypertensive medications compared with those
who lived at home or in an unsupervised setting without Medicaid services. Our study
explored the association of adherence with additional support and found those with
at least one primary care visit during the measurement year and those on a waiver
for 90 days or more (indications of higher levels of support) were more likely to be
adherent. Although few studies have looked at indicators of community support or
residential type as factors related specifically to anti-hypertensive medication
adherence in adults with IDD, other research has found associations between mutable
characteristics and adherence, including community and clinical supports. One
research group posited that the better anti-hypertensive medication adherence they
found in younger ages was a result of better community-based support for these
adults (<xref rid="R39" ref-type="bibr">Vacek et al., 2013</xref>). Another study of
anti-epileptic medication use in adults with developmental disabilities found higher
adherence rates among those living in group homes compared with those living in
semi-independent settings and those in family homes (<xref rid="R14" ref-type="bibr">Hom et al., 2015</xref>). Additionally, in a study of psychotropic medication
use among those with developmental disabilities and mental illness, there was a
positive association between outpatient visits and adherence, which the authors felt
was due to a better support system (<xref rid="R35" ref-type="bibr">Tan et al.,
2015</xref>). In the general population modifiable factors associated with
improved adherence to hypertension management include education, communication, and
reducing pill burden (<xref rid="R16" ref-type="bibr">Klootwyk &#x00026; Sanoski,
2011</xref>).</p><p id="P21">Our findings of an association between adherence and supervised living
situations and community supports are also notable in that there has been a
twenty-year trend toward increasing community and other support programs for people
with IDD. Nationally, between 1999 and 2009, there was 17.3% increase in use of
community group homes, 90.2% increase of assistance in an individual&#x02019;s own
home, and 28.5% increase in services in host or foster care homes for people with
IDD (<xref rid="R32" ref-type="bibr">Smith, Lakin, Larson, &#x00026; Salmi,
2011</xref>). On the national level, in fiscal year 2009, the majority of Medicaid
spending on long-term supports and assistance for those with IDD was for the Home
and Community-Based Services (HCBS) Waiver program (<xref rid="R27" ref-type="bibr">Rizzolo, Friedman, Lulinski-Norris, &#x00026; Braddock, 2013</xref>). The primary
service category to be funded in fiscal year 2010 was residential habilitation
services, representing 53% of total proposed waiver spending (<xref rid="R27" ref-type="bibr">Rizzolo et al., 2013</xref>). In South Carolina in 2009, only
810 people with IDD resided in public/private institutions (a decrease of 34.0% from
1999), while 3,271 people resided in community group homes, 142 in host homes, and
662 in their own or family homes (increases of 30.5%, 21.4%, and 5.9% from 1999,
respectively; <xref rid="R32" ref-type="bibr">Smith et al., 2011</xref>). A subset
of the South Carolina adults with IDD who live in their own or family homes have a
Medicaid waiver that covers services such as residential habilitation,
companion/personal assistance/supported living, adult day health, community
transition supports, care coordination, transportation, prevocational, supported
employment, assistive and medical technologies, and health and professional services
(<xref rid="R27" ref-type="bibr">Rizzolo et al., 2013</xref>).</p><p id="P22">Many strategies have been evaluated to improve anti-hypertensive medication
adherence. Some effective strategies include encouraging patients, caregivers, and
healthcare providers to work together to set therapeutic goals, design and implement
a treatment plan, and adjust based on patient progress (<xref rid="R35" ref-type="bibr">Tan et al., 2015</xref>); consistently incorporating regular
follow-up with the health care system (<xref rid="R13" ref-type="bibr">Ho et al.,
2009</xref>); and simplifying the treatment regimen (e.g., use of fixed-dose
combination medicines, use of long-acting drugs, increasing day&#x02019;s supply per
fill, etc.; <xref rid="R41" ref-type="bibr">Weber et al., 2014</xref>; <xref rid="R26" ref-type="bibr">Ritchey et al., 2016</xref>). The effectiveness of any
of these strategies in the population of adults with IDD is unknown. However, our
study suggests that interventions that incorporate additional structure and a
community support component may aid in increasing anti-hypertensive medication
adherence in adults with IDD. While our study results seem promising in supporting
this approach, some caution is warranted as clinical outcomes that may result from
such interventions in this population are unknown. An updated Cochrane review about
improving adherence to prescribed medication regimens in general noted that current
methods used are mostly complex (i.e., include interventions with multiple
components) and not as effective for determining both adherence and clinical
outcomes (<xref rid="R23" ref-type="bibr">Nieuwlaat et al., 2014</xref>). Further
investigation of supportive systems within the IDD population should include not
only adherence measures, but also outcome measures.</p><p id="P23">This study is subject to at least five limitations. First, we used
administrative claims data and therefore were unable to assess measured blood
pressure levels or blood pressure control. Second, PDC only assesses availability of
medication and not whether or not the medication was taken as prescribed; however,
PDC is a standard and accepted method of determining adherence with these types of
data (<xref rid="R26" ref-type="bibr">Ritchey et al., 2016</xref>; <xref rid="R42" ref-type="bibr">Yang et al., 2017</xref>). On the other hand, we could assess
that medication was purchased at a pharmacy, which is more accurate than medical
records for determining if the prescription was filled. Third, we measured adherence
in the year following an individual&#x02019;s first anti-hypertensive medication
prescription; this may or may not represent adherence in subsequent years. Fourth,
results of this study pertain to the Medicaid population with IDD in South Carolina
and may not necessarily be generalizable to other geographic areas or other
disability types, including non-Medicaid populations. However, since adults with IDD
represent a high cost group for the Medicaid program (<xref rid="R37" ref-type="bibr">The Pew Charitable Trusts &#x00026; The McArthur Foundation,
2014</xref>), the identification of potential intervention strategies to improve
health and reduce cost is important. Finally, we did not assess adherence by
specific IDD type, as that was considered beyond the scope of this study; further
work in this area may be warranted.</p></sec><sec id="S8"><title>Conclusion</title><p id="P24">Our study identifies community and other supports as a strategic area which
can be leveraged to improve medication adherence in people with IDD. Adults with IDD
may live in a supervised residence, be on a Medicaid waiver (which confers
eligibility for numerous services and supports), and have more frequent contact with
a primary care provider. Unfortunately, an individual&#x02019;s ability to receive a
Medicaid waiver is usually impacted by long waiting lists, averaging nearly 4 years
for those with IDD in 2014 (<xref rid="R36" ref-type="bibr">The Kaiser Commission on
Medicaid and the Uninsured, 2015</xref>). Nonetheless, it is likely feasible for
organizations that serve people with IDD to provide more training about the issues
related to medication adherence to family members, caregivers, primary care
providers, and adults with IDD themselves, to support improved adherence in the
least restrictive residential environments.</p></sec></body><back><ack id="S9"><p id="P25">This work was supported by the Centers for Disease Control and Prevention
(CDC), National Center for Birth Defects and Developmental Disabilities (Grant #
1U01DD001007). This manuscript was presented as an oral presentation at the 2017
American Association on Intellectual and Developmental Disabilities Annual
Meeting.</p><p id="P26">The findings and conclusions in this report are those of the authors and do
not necessarily represent the official position of the Centers for Disease Control
and Prevention or the South Carolina agencies and programs where the data
originated.</p></ack><fn-group><fn fn-type="COI-statement" id="FN1"><p id="P27">The authors have no conflicts of interest to disclose.</p></fn></fn-group><ref-list><title>References</title><ref id="R1"><mixed-citation publication-type="journal"><name><surname>Anderson</surname><given-names>WL</given-names></name>, <name><surname>Armour</surname><given-names>BS</given-names></name>, <name><surname>Finkelstein</surname><given-names>EA</given-names></name>, &#x00026; <name><surname>Wiener</surname><given-names>JM</given-names></name> (<year>2010</year>). <article-title>Estimates of state-level health-care
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Developmental Disabilities (IDD) Members and the Adherence Study
Cohort&#x02014;South Carolina, 2000&#x02013;2014<xref rid="TFN1" ref-type="table-fn">*</xref></p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="bottom" rowspan="1" colspan="1">Demographic Characteristic</th><th align="center" valign="bottom" rowspan="1" colspan="1">All IDD Members<break/><italic>N</italic>
(%)</th><th align="center" valign="bottom" rowspan="1" colspan="1">Adherence Study
Cohort<break/><italic>N</italic> (%)</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Total</td><td align="center" valign="top" rowspan="1" colspan="1">22,463 (100)</td><td align="center" valign="top" rowspan="1" colspan="1">1,573 (100)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Hypertension<sup><xref rid="TFN2" ref-type="table-fn">&#x02020;</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">9,484 (42.2)</td><td align="center" valign="top" rowspan="1" colspan="1">1,573 (100)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Anti-hypertensive prescription</td><td align="center" valign="top" rowspan="1" colspan="1">8,012 (35.7)</td><td align="center" valign="top" rowspan="1" colspan="1">1,573 (100)</td></tr><tr><td colspan="3" align="left" valign="top" rowspan="1">Birth year</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;1981&#x02013;1992</td><td align="center" valign="top" rowspan="1" colspan="1">5,383 (24.0)</td><td align="center" valign="top" rowspan="1" colspan="1">209 (13.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;1969&#x02013;1980</td><td align="center" valign="top" rowspan="1" colspan="1">5,762 (25.7)</td><td align="center" valign="top" rowspan="1" colspan="1">439 (27.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;1958&#x02013;1968</td><td align="center" valign="top" rowspan="1" colspan="1">5,411 (24.1)</td><td align="center" valign="top" rowspan="1" colspan="1">471 (29.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;1947&#x02013;1957</td><td align="center" valign="top" rowspan="1" colspan="1">4,236 (18.9)</td><td align="center" valign="top" rowspan="1" colspan="1">365 (23.2)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;1936&#x02013;1946</td><td align="center" valign="top" rowspan="1" colspan="1">1671 (7.4)</td><td align="center" valign="top" rowspan="1" colspan="1">89 (5.7)</td></tr><tr><td colspan="3" align="left" valign="top" rowspan="1">Sex</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Male</td><td align="center" valign="top" rowspan="1" colspan="1">12,344 (55.0)</td><td align="center" valign="top" rowspan="1" colspan="1">829 (52.7)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Female</td><td align="center" valign="top" rowspan="1" colspan="1">10,119 (45.0)</td><td align="center" valign="top" rowspan="1" colspan="1">744 (47.3)</td></tr><tr><td colspan="3" align="left" valign="top" rowspan="1">Race</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;White</td><td align="center" valign="top" rowspan="1" colspan="1">10,858 (48.3)</td><td align="center" valign="top" rowspan="1" colspan="1">491 (31.2)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Black/African American</td><td align="center" valign="top" rowspan="1" colspan="1">10,316 (45.9)</td><td align="center" valign="top" rowspan="1" colspan="1">990 (62.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Other/missing</td><td align="center" valign="top" rowspan="1" colspan="1">1,289 (5.7)</td><td align="center" valign="top" rowspan="1" colspan="1">92 (5.8)</td></tr><tr><td colspan="3" align="left" valign="top" rowspan="1">Zip Code RUCA
approximation<sup><xref rid="TFN3" ref-type="table-fn">&#x02021;</xref></sup></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Urban focused</td><td align="center" valign="top" rowspan="1" colspan="1">14,313 (63.8)</td><td align="center" valign="top" rowspan="1" colspan="1">964 (61.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Large rural city/town focused</td><td align="center" valign="top" rowspan="1" colspan="1">5,021 (22.4)</td><td align="center" valign="top" rowspan="1" colspan="1">331 (21.0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Small rural town focused</td><td align="center" valign="top" rowspan="1" colspan="1">2,055 (9.1)</td><td align="center" valign="top" rowspan="1" colspan="1">177 (11.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Isolated small rural town focused</td><td align="center" valign="top" rowspan="1" colspan="1">1,029 (4.6)</td><td align="center" valign="top" rowspan="1" colspan="1">101 (6.4)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Missing/not represented</td><td align="center" valign="top" rowspan="1" colspan="1">33 (0.1)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02014;</td></tr><tr><td colspan="3" align="left" valign="top" rowspan="1">Dual coverage<sup><xref rid="TFN4" ref-type="table-fn">&#x000a7;</xref></sup></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Medicaid primary payer</td><td align="center" valign="top" rowspan="1" colspan="1">9,,254 (41.2)</td><td align="center" valign="top" rowspan="1" colspan="1">1,573 (100)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Other payer (Medicare,
commercial)</td><td align="center" valign="top" rowspan="1" colspan="1">13209 (58.8)</td><td align="center" valign="top" rowspan="1" colspan="1">0 (0)</td></tr><tr><td colspan="3" align="left" valign="top" rowspan="1">SNAP</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Yes &#x02013; &#x02265;3 months during
study</td><td align="center" valign="top" rowspan="1" colspan="1">11,322 (50.4)</td><td align="center" valign="top" rowspan="1" colspan="1">1,015 (64.5)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;No</td><td align="center" valign="top" rowspan="1" colspan="1">11,141 (49.6)</td><td align="center" valign="top" rowspan="1" colspan="1">558 (35.5)</td></tr><tr><td colspan="3" align="left" valign="top" rowspan="1">IDD condition<sup><xref rid="TFN5" ref-type="table-fn">&#x02016;</xref></sup></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Specific code recorded<sup><xref rid="TFN6" ref-type="table-fn">&#x000b6;</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">8,921 (39.7)</td><td align="center" valign="top" rowspan="1" colspan="1">476 (32.7)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Mild-profound/unspecified codes
only<xref rid="TFN8" ref-type="table-fn">**</xref></td><td align="center" valign="top" rowspan="1" colspan="1">13,542 (60.3)</td><td align="center" valign="top" rowspan="1" colspan="1">1,097 (67.3)</td></tr><tr><td colspan="3" align="left" valign="top" rowspan="1">Conditions for which hypertension
drugs often used<sup><xref rid="TFN7" ref-type="table-fn">#</xref></sup></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;ADHD/anxiety<sup><xref rid="TFN9" ref-type="table-fn">&#x02020;&#x02020;</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">5,066 (22.6)</td><td align="center" valign="top" rowspan="1" colspan="1">244 (15.5)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Urinary retention<sup><xref rid="TFN10" ref-type="table-fn">&#x02021;&#x02021;</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">1,074 (4.8)</td><td align="center" valign="top" rowspan="1" colspan="1">37 (2.4)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Other severe mental health
condition<sup><xref rid="TFN11" ref-type="table-fn">&#x000a7;&#x000a7;</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">9,915 (44.1)</td><td align="center" valign="top" rowspan="1" colspan="1">660 (42.0)</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><label>*</label><p id="P29">Data originated from South Carolina Medicaid, the Department of
Disabilities and Special Needs (DDSN), and the Department of Social
Services.</p></fn><fn id="TFN2"><label>&#x02020;</label><p id="P30">Hypertension codes include: Any code beginning with 401&#x02013;405.
The adherence study cohort was limited to members with essential
hypertension (401.x).</p></fn><fn id="TFN3"><label>&#x02021;</label><p id="P31">Zip code RUCA approximation for total IDD members used the zip code
recorded for the greatest number of days during the study period, and for
the adherence study cohort used the zip code recorded for greatest number of
days during measurement year.</p></fn><fn id="TFN4"><label>&#x000a7;</label><p id="P32">Based on member&#x02019;s most recent year of eligibility during the
study period for all IDD members and measurement year for the adherence
cohort. Yearly percentages average 54.9%.</p></fn><fn id="TFN5"><label>&#x02016;</label><p id="P33">Number of cases with a specific diagnosis recorded and a
mild-to-profound or unspecified ID code: 8,387 (75.8%).</p></fn><fn id="TFN6"><label>&#x000b6;</label><p id="P34">Case diagnosed with a specific code often related to intellectual
disability. May or may not have mild to profound or unspecified intellectual
disability code (i.e., 317, 318, 319). Specific condition codes include:
<list list-type="bullet" id="L1"><list-item><p id="P35">Autism/PDD: 299.00, 299.01, 299.10, 299.11, 299.80,
299.81, 299.90, 299.91</p></list-item><list-item><p id="P36">Cerebral Palsy: 343.0, 343.1, 343.2, 343.3, 343.4,
343.8, 343.9, 333.71</p></list-item><list-item><p id="P37">Down Syndrome: 758.0</p></list-item><list-item><p id="P38">Trisomy/Autosomal: 758.1, 758.2, 758.31, 758.32, 758.33,
758.39</p></list-item><list-item><p id="P39">Fragile X Syndrome: 759.83</p></list-item><list-item><p id="P40">Leukodystrophy: 330.0, 330.1, 330.2, 330.3, 330.8,
330.9</p></list-item><list-item><p id="P41">Lesch Nyhan: 277.2</p></list-item><list-item><p id="P42">Tubular Sclerosis: 759.5</p></list-item><list-item><p id="P43">Prader-Willi Syndrome: 759.81</p></list-item><list-item><p id="P44">Fetal Alcohol Syndrome: 760.71</p></list-item></list>
</p></fn><fn id="TFN7"><label>#</label><p id="P45">Mild-profound and unspecified ID codes include: <list list-type="bullet" id="L2"><list-item><p id="P46">ID Mild: 317</p></list-item><list-item><p id="P47">ID Moderate: 318.0, 318.1, 318.2</p></list-item><list-item><p id="P48">ID Unspecified: 319</p></list-item></list></p></fn><fn id="TFN8"><label>**</label><p id="P49">Conditions for which hypertension drugs are often used are not
mutually exclusive. Conditions met the same diagnostic criteria as IDD and
hypertension codes.</p></fn><fn id="TFN9"><label>&#x02020;&#x02020;</label><p id="P50">ADHD codes include: any code beginning with 314. Anxiety codes
include: any code beginning with 300.0 or 300.4.</p></fn><fn id="TFN10"><label>&#x02021;&#x02021;</label><p id="P51">Urinary retention codes include: any code beginning with 788.2,
600.01, 600.21, 600.91 or 306.53.</p></fn><fn id="TFN11"><label>&#x000a7;&#x000a7;</label><p id="P52">Other severe mental/behavioral health condition codes include any
code beginning with: <list list-type="bullet" id="L3"><list-item><p id="P53">290 &#x02013; 294: Organic psychotic conditions including
dementia and alcohol and drug induced mental disorders</p></list-item><list-item><p id="P54">295: Schizophrenic disorders</p></list-item><list-item><p id="P55">296: Episodic mood disorders</p></list-item><list-item><p id="P56">298: Other nonorganic psychoses</p></list-item><list-item><p id="P57">300.4: Depression w/ anxiety</p></list-item><list-item><p id="P58">303: Alcohol dependence syndrome</p></list-item><list-item><p id="P59">304: Drug dependence syndrome</p></list-item><list-item><p id="P60">305: Nondependent abuse of drugs</p></list-item><list-item><p id="P61">311: Depressive disorder</p></list-item></list></p></fn></table-wrap-foot></table-wrap><table-wrap id="T2" position="float" orientation="landscape"><label>Table 2</label><caption><p id="P62">Prescription of Specific Types and Numbers of Medications Among Adults
With Intellectual and Developmental Disabilities (IDD)&#x02014;South Carolina,
2000&#x02013;2014<xref rid="TFN12" ref-type="table-fn">*</xref></p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="bottom" rowspan="1" colspan="1"/><th align="center" valign="top" rowspan="1" colspan="1">Study Period 2000&#x02013;2014<sup><xref rid="TFN13" ref-type="table-fn">&#x02020;</xref></sup><break/><italic>N</italic> (%)</th><th align="center" valign="top" rowspan="1" colspan="1">Measurement Year<sup><xref rid="TFN14" ref-type="table-fn">&#x02021;</xref></sup><break/><italic>N</italic> (%)</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Types of medication<sup><xref rid="TFN15" ref-type="table-fn">&#x000a7;</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Diuretics</td><td align="center" valign="top" rowspan="1" colspan="1">3,312 (67.1)</td><td align="center" valign="top" rowspan="1" colspan="1">826 (52.5)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Beta blockers</td><td align="center" valign="top" rowspan="1" colspan="1">1,938 (39.3)</td><td align="center" valign="top" rowspan="1" colspan="1">413 (26.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Angiotensin converting enzyme
inhibitors</td><td align="center" valign="top" rowspan="1" colspan="1">2,600 (52.7)</td><td align="center" valign="top" rowspan="1" colspan="1">620 (39.4)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Angiotensin II receptor blockers</td><td align="center" valign="top" rowspan="1" colspan="1">1,312 (26.6)</td><td align="center" valign="top" rowspan="1" colspan="1">262 (16.7)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Calcium channel blockers</td><td align="center" valign="top" rowspan="1" colspan="1">2,012 (40.8)</td><td align="center" valign="top" rowspan="1" colspan="1">419 (26.6)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Alpha blockers</td><td align="center" valign="top" rowspan="1" colspan="1">514 (10.4)</td><td align="center" valign="top" rowspan="1" colspan="1">63 (4.0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Alpha-2 receptor agonists</td><td align="center" valign="top" rowspan="1" colspan="1">37 (0.8)</td><td align="center" valign="top" rowspan="1" colspan="1">10 (0.6)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Central agonists</td><td align="center" valign="top" rowspan="1" colspan="1">502 (10.2)</td><td align="center" valign="top" rowspan="1" colspan="1">66 (4.2)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Peripheral adrenergic inhibitors</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02264;10 (&#x02264;0.2)</td><td align="center" valign="top" rowspan="1" colspan="1">0 (0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Vasodilators</td><td align="center" valign="top" rowspan="1" colspan="1">119 (2.4)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02264;10 (&#x02264;0.6)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Renin inhibitors</td><td align="center" valign="top" rowspan="1" colspan="1">26 (0.5)</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02264;10 (&#x02264;0.6)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Number of medication types</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;1</td><td align="center" valign="top" rowspan="1" colspan="1">1,391 (28.2)</td><td align="center" valign="top" rowspan="1" colspan="1">796 (50.6)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;2</td><td align="center" valign="top" rowspan="1" colspan="1">1,484 (30.1)</td><td align="center" valign="top" rowspan="1" colspan="1">524 (33.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;3</td><td align="center" valign="top" rowspan="1" colspan="1">1,005 (20.4)</td><td align="center" valign="top" rowspan="1" colspan="1">192 (12.2)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02265;4</td><td align="center" valign="top" rowspan="1" colspan="1">1,053 (21.3)</td><td align="center" valign="top" rowspan="1" colspan="1">61 (3.9)</td></tr></tbody></table><table-wrap-foot><fn id="TFN12"><label>*</label><p id="P63">Data originated from South Carolina Medicaid, the Department of
Disabilities and Special Needs (DDSN), and the Department of Social
Services.</p></fn><fn id="TFN13"><label>&#x02020;</label><p id="P64">Hypertension (HTN) diagnosis and non-dual coverage years where
prescription fill date &#x02265; first HTN diagnosis date (<italic>n</italic>
= 4933).</p></fn><fn id="TFN14"><label>&#x02021;</label><p id="P65">Measurement year refers to the year following a member&#x02019;s
first anti-hypertensive prescription fill date. Essential HTN diagnosis date
is required during the first six months of the measurement year (<italic>n
=</italic> 1573).</p></fn><fn id="TFN15"><label>&#x000a7;</label><p id="P66">Types of medication are not mutually exclusive.</p></fn></table-wrap-foot></table-wrap><table-wrap id="T3" position="float" orientation="landscape"><label>Table 3</label><caption><p id="P67">Characteristics of the Adherence Study Cohort During the Measurement
Year by 80% PDC&#x02014;South Carolina, 2000&#x02013;2014<xref rid="TFN16" ref-type="table-fn">*</xref></p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th align="center" valign="top" rowspan="1" colspan="1">&#x02265;80% PDC<break/><italic>N</italic>
(%)</th><th align="center" valign="top" rowspan="1" colspan="1">&#x0003c;80% PDC<break/><italic>N</italic>
(%)</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Total</td><td align="center" valign="top" rowspan="1" colspan="1">779 (49.5)</td><td align="center" valign="top" rowspan="1" colspan="1">794 (50.5)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Age (in years)</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;22&#x02013;34</td><td align="center" valign="top" rowspan="1" colspan="1">245 (31.5)</td><td align="center" valign="top" rowspan="1" colspan="1">310 (39.0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;35&#x02013;44</td><td align="center" valign="top" rowspan="1" colspan="1">225 (28.9)</td><td align="center" valign="top" rowspan="1" colspan="1">233 (29.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;45&#x02013;54</td><td align="center" valign="top" rowspan="1" colspan="1">206 (26.4)</td><td align="center" valign="top" rowspan="1" colspan="1">183 (23.0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;55&#x02013;64</td><td align="center" valign="top" rowspan="1" colspan="1">103 (13.2)</td><td align="center" valign="top" rowspan="1" colspan="1">68 (8.6)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Sex<sup><xref rid="TFN17" ref-type="table-fn">&#x02020;</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Male</td><td align="center" valign="top" rowspan="1" colspan="1">422 (54.2)</td><td align="center" valign="top" rowspan="1" colspan="1">407 (51.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Female</td><td align="center" valign="top" rowspan="1" colspan="1">357 (45.8)</td><td align="center" valign="top" rowspan="1" colspan="1">387 (48.7)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Race<sup><xref rid="TFN17" ref-type="table-fn">&#x02020;</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;White</td><td align="center" valign="top" rowspan="1" colspan="1">267 (34.3)</td><td align="center" valign="top" rowspan="1" colspan="1">224 (28.2)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Black/African American</td><td align="center" valign="top" rowspan="1" colspan="1">460 (59.1)</td><td align="center" valign="top" rowspan="1" colspan="1">530 (66.8)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Other/missing</td><td align="center" valign="top" rowspan="1" colspan="1">52 (6.7)</td><td align="center" valign="top" rowspan="1" colspan="1">40 (5.0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Zip Code RUCA approximation</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Urban focused</td><td align="center" valign="top" rowspan="1" colspan="1">477 (61.2)</td><td align="center" valign="top" rowspan="1" colspan="1">487 (61.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Large rural city/town focused</td><td align="center" valign="top" rowspan="1" colspan="1">165 (21.2)</td><td align="center" valign="top" rowspan="1" colspan="1">166 (20.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Small rural town focused</td><td align="center" valign="top" rowspan="1" colspan="1">89 (11.4)</td><td align="center" valign="top" rowspan="1" colspan="1">88 (11.1)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Isolated small rural town focused</td><td align="center" valign="top" rowspan="1" colspan="1">48 (6.2)</td><td align="center" valign="top" rowspan="1" colspan="1">53 (6.7)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">IDD condition<sup><xref rid="TFN18" ref-type="table-fn">&#x02021;</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Specific code recorded</td><td align="center" valign="top" rowspan="1" colspan="1">267 (34.3)</td><td align="center" valign="top" rowspan="1" colspan="1">209 (26.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Mild-profound/unspecified codes
only</td><td align="center" valign="top" rowspan="1" colspan="1">512 (65.7)</td><td align="center" valign="top" rowspan="1" colspan="1">585 (73.7)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">SNAP</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Yes &#x02013; &#x02265;3 months during
year</td><td align="center" valign="top" rowspan="1" colspan="1">451 (57.9)</td><td align="center" valign="top" rowspan="1" colspan="1">564 (71.0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;No</td><td align="center" valign="top" rowspan="1" colspan="1">328 (42.1)</td><td align="center" valign="top" rowspan="1" colspan="1">230 (29.0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Residence</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Unsupervised community living or
home</td><td align="center" valign="top" rowspan="1" colspan="1">569 (73.0)</td><td align="center" valign="top" rowspan="1" colspan="1">732 (92.2)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Supervised community-based
settings</td><td align="center" valign="top" rowspan="1" colspan="1">151 (19.4)</td><td align="center" valign="top" rowspan="1" colspan="1">47 (5.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Nursing home, ICF/IDD facilities</td><td align="center" valign="top" rowspan="1" colspan="1">59 (7.6)</td><td align="center" valign="top" rowspan="1" colspan="1">15 (1.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"># Primary care visits<sup><xref rid="TFN19" ref-type="table-fn">&#x000a7;</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;No visits</td><td align="center" valign="top" rowspan="1" colspan="1">117 (15.0)</td><td align="center" valign="top" rowspan="1" colspan="1">155 (19.5)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02265;1 visits</td><td align="center" valign="top" rowspan="1" colspan="1">662 (85.0)</td><td align="center" valign="top" rowspan="1" colspan="1">639 (80.5)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Waiver<sup><xref rid="TFN20" ref-type="table-fn">&#x02016;</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;On waiver &#x02265;90 days</td><td align="center" valign="top" rowspan="1" colspan="1">284 (36.4)</td><td align="center" valign="top" rowspan="1" colspan="1">150 (18.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Not on waiver</td><td align="center" valign="top" rowspan="1" colspan="1">495 (63.6)</td><td align="center" valign="top" rowspan="1" colspan="1">644 (81.1)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Number of different medication types</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;1 type</td><td align="center" valign="top" rowspan="1" colspan="1">395 (50.7)</td><td align="center" valign="top" rowspan="1" colspan="1">539 (67.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;2 types</td><td align="center" valign="top" rowspan="1" colspan="1">241 (30.9)</td><td align="center" valign="top" rowspan="1" colspan="1">205 (25.8)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02265;3 types</td><td align="center" valign="top" rowspan="1" colspan="1">143 (18.4)</td><td align="center" valign="top" rowspan="1" colspan="1">50 (6.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Obesity</td><td align="center" valign="top" rowspan="1" colspan="1">88 (11.3)</td><td align="center" valign="top" rowspan="1" colspan="1">92 (11.5)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Comorbidities Charlson Index</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02265;1 comorbid condition</td><td align="center" valign="top" rowspan="1" colspan="1">558 (71.6)</td><td align="center" valign="top" rowspan="1" colspan="1">585 (73.7)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Mental health/substance use</td><td align="center" valign="top" rowspan="1" colspan="1">317 (40.7)</td><td align="center" valign="top" rowspan="1" colspan="1">361 (45.5)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Peripheral vascular disease</td><td align="center" valign="top" rowspan="1" colspan="1">32 (4.1)</td><td align="center" valign="top" rowspan="1" colspan="1">21 (2.6)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Cerebrovascular disease</td><td align="center" valign="top" rowspan="1" colspan="1">68 (8.7)</td><td align="center" valign="top" rowspan="1" colspan="1">60 (7.6)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Diabetes without complications</td><td align="center" valign="top" rowspan="1" colspan="1">197 (25.3)</td><td align="center" valign="top" rowspan="1" colspan="1">200 (25.2)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Diabetes with complications</td><td align="center" valign="top" rowspan="1" colspan="1">28 (3.6)</td><td align="center" valign="top" rowspan="1" colspan="1">29 (3.7)</td></tr></tbody></table><table-wrap-foot><fn id="TFN16"><label>*</label><p id="P68">Data originated from South Carolina Medicaid, the Department of
Disabilities and Special Needs (DDSN), and the Department of Social
Services.</p></fn><fn id="TFN17"><label>&#x02020;</label><p id="P69">In multiple eligibility files. The most recent file was used for sex
and race unless race was unknown. If race was unknown, the most frequent
known value from all files was used.</p></fn><fn id="TFN18"><label>&#x02021;</label><p id="P70">Not everyone had a claim with an IDD code during the measurement
year; therefore, all claims during the study period were used to determine
IDD condition.</p></fn><fn id="TFN19"><label>&#x000a7;</label><p id="P71">A visit was considered primary care if (1) rendering physician
specialty was recorded as family practice, general practice, internal
medicine or service was provided by nurse practitioner, (2) service was
provided in office, nursing home, clinic or other medical center and (3)
evaluation and management (E&#x00026;M) office or other outpatient services CPT
code was noted on encounter claim. Additionally, all-inclusive visits
occurring in a federally qualified or rural health centers were considered
primary care. E&#x00026;M CPT codes utilized were consistent with the healthcare
and effectiveness data and information set (HEDIS) measures. If no rendering
specialty was noted, billing specialty was utilized.</p></fn><fn id="TFN20"><label>&#x02016;</label><p id="P72">Waiver: Member was flagged if on intellectual disability, community
long term care, or community support waiver (new or established) for
&#x02265;90 days during measurement year.</p></fn></table-wrap-foot></table-wrap><table-wrap id="T4" position="float" orientation="landscape"><label>Table 4</label><caption><p id="P73">Association of Demographic Characteristics With Adherence to
Anti-hypertensive Medication (&#x02265;80% PDC) Among Adults With Intellectual
and Developmental Disabilities (IDD), From Multivariate Logistic Regression<xref rid="TFN21" ref-type="table-fn">*</xref>&#x02014;South Carolina,
2000&#x02013;2014<sup><xref rid="TFN22" ref-type="table-fn">&#x02020;</xref></sup></p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th align="center" valign="top" rowspan="1" colspan="1">Adjusted Odds Ratio</th><th colspan="2" align="center" valign="top" rowspan="1">95% Wald Confidence Limits</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Age (continuous)</td><td align="center" valign="top" rowspan="1" colspan="1">1.02</td><td align="center" valign="top" rowspan="1" colspan="1">1.01</td><td align="center" valign="top" rowspan="1" colspan="1">1.03</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Sex</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Male</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Female</td><td align="center" valign="top" rowspan="1" colspan="1">1.11</td><td align="center" valign="top" rowspan="1" colspan="1">0.89</td><td align="center" valign="top" rowspan="1" colspan="1">1.39</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Race</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;White</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Black/African American</td><td align="center" valign="top" rowspan="1" colspan="1">0.68</td><td align="center" valign="top" rowspan="1" colspan="1">0.53</td><td align="center" valign="top" rowspan="1" colspan="1">0.87</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Other/missing</td><td align="center" valign="top" rowspan="1" colspan="1">1.11</td><td align="center" valign="top" rowspan="1" colspan="1">0.68</td><td align="center" valign="top" rowspan="1" colspan="1">1.80</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Zip Code RUCA Approximation</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Urban focused</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Large rural city/town focused</td><td align="center" valign="top" rowspan="1" colspan="1">1.15</td><td align="center" valign="top" rowspan="1" colspan="1">0.88</td><td align="center" valign="top" rowspan="1" colspan="1">1.52</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Small rural town focused</td><td align="center" valign="top" rowspan="1" colspan="1">1.08</td><td align="center" valign="top" rowspan="1" colspan="1">0.75</td><td align="center" valign="top" rowspan="1" colspan="1">1.54</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Isolated small rural town focused</td><td align="center" valign="top" rowspan="1" colspan="1">1.37</td><td align="center" valign="top" rowspan="1" colspan="1">0.87</td><td align="center" valign="top" rowspan="1" colspan="1">2.14</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">IDD Condition</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Mild-profound/unspecified codes
only</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Specific code recorded</td><td align="center" valign="top" rowspan="1" colspan="1">1.22</td><td align="center" valign="top" rowspan="1" colspan="1">0.94</td><td align="center" valign="top" rowspan="1" colspan="1">1.57</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">SNAP</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;No</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Yes &#x02013; &#x02265;3 months during
year</td><td align="center" valign="top" rowspan="1" colspan="1">0.74</td><td align="center" valign="top" rowspan="1" colspan="1">0.58</td><td align="center" valign="top" rowspan="1" colspan="1">0.94</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Residence</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Unsupervised community living or
home</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Supervised community-based
settings</td><td align="center" valign="top" rowspan="1" colspan="1">4.20</td><td align="center" valign="top" rowspan="1" colspan="1">2.86</td><td align="center" valign="top" rowspan="1" colspan="1">6.19</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Nursing home, ICF/ID facilities</td><td align="center" valign="top" rowspan="1" colspan="1">5.49</td><td align="center" valign="top" rowspan="1" colspan="1">2.94</td><td align="center" valign="top" rowspan="1" colspan="1">10.22</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"># Primary Care Visits</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;No visits</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02265;1 visits</td><td align="center" valign="top" rowspan="1" colspan="1">1.40</td><td align="center" valign="top" rowspan="1" colspan="1">1.04</td><td align="center" valign="top" rowspan="1" colspan="1">1.89</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Waiver<sup><xref rid="TFN23" ref-type="table-fn">&#x02021;</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Not on waiver</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;On waiver</td><td align="center" valign="top" rowspan="1" colspan="1">2.68</td><td align="center" valign="top" rowspan="1" colspan="1">2.07</td><td align="center" valign="top" rowspan="1" colspan="1">3.47</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Number of Different Medication Types</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;1</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;2</td><td align="center" valign="top" rowspan="1" colspan="1">1.76</td><td align="center" valign="top" rowspan="1" colspan="1">1.37</td><td align="center" valign="top" rowspan="1" colspan="1">2.25</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02265;3</td><td align="center" valign="top" rowspan="1" colspan="1">5.02</td><td align="center" valign="top" rowspan="1" colspan="1">3.44</td><td align="center" valign="top" rowspan="1" colspan="1">7.33</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Obesity</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;No</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td><td align="center" valign="top" rowspan="1" colspan="1">Ref</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Yes</td><td align="center" valign="top" rowspan="1" colspan="1">1.08</td><td align="center" valign="top" rowspan="1" colspan="1">0.76</td><td align="center" valign="top" rowspan="1" colspan="1">1.54</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Comorbidities Charlson Index</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02265;1 comorbid condition</td><td align="center" valign="top" rowspan="1" colspan="1">0.82</td><td align="center" valign="top" rowspan="1" colspan="1">0.59</td><td align="center" valign="top" rowspan="1" colspan="1">1.13</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Mental health/substance use (Yes vs
No)</td><td align="center" valign="top" rowspan="1" colspan="1">0.72</td><td align="center" valign="top" rowspan="1" colspan="1">0.55</td><td align="center" valign="top" rowspan="1" colspan="1">0.95</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Peripheral vascular disease (Yes vs.
No)</td><td align="center" valign="top" rowspan="1" colspan="1">1.28</td><td align="center" valign="top" rowspan="1" colspan="1">0.68</td><td align="center" valign="top" rowspan="1" colspan="1">2.44</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Cerebrovascular disease (Yes vs.
No)</td><td align="center" valign="top" rowspan="1" colspan="1">0.91</td><td align="center" valign="top" rowspan="1" colspan="1">0.60</td><td align="center" valign="top" rowspan="1" colspan="1">1.39</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Diabetes without complications (Yes
vs. No)</td><td align="center" valign="top" rowspan="1" colspan="1">1.06</td><td align="center" valign="top" rowspan="1" colspan="1">0.79</td><td align="center" valign="top" rowspan="1" colspan="1">1.41</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Diabetes with complications (Yes vs.
No)</td><td align="center" valign="top" rowspan="1" colspan="1">0.84</td><td align="center" valign="top" rowspan="1" colspan="1">0.45</td><td align="center" valign="top" rowspan="1" colspan="1">1.59</td></tr></tbody></table><table-wrap-foot><fn id="TFN21"><label>*</label><p id="P74">Multivariate logistic regression model included only those
covariates listed.</p></fn><fn id="TFN22"><label>&#x02020;</label><p id="P75">Data originated from South Carolina Medicaid, the Department of
Disabilities and Special Needs (DDSN), and the Department of Social
Services.</p></fn><fn id="TFN23"><label>&#x02021;</label><p id="P76">Waiver: Member was flagged if on intellectual disability, community
long-term care, or community support waiver (new or established) for
&#x02265;90 days during measurement year.</p></fn></table-wrap-foot></table-wrap></floats-group></article>