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<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">101256510</journal-id><journal-id journal-id-type="pubmed-jr-id">33126</journal-id><journal-id journal-id-type="nlm-ta">Congenit Heart Dis</journal-id><journal-id journal-id-type="iso-abbrev">Congenit Heart Dis</journal-id><journal-title-group><journal-title>Congenital heart disease</journal-title></journal-title-group><issn pub-type="ppub">1747-079X</issn><issn pub-type="epub">1747-0803</issn></journal-meta><article-meta><article-id pub-id-type="pmid">31066199</article-id><article-id pub-id-type="pmc">6697598</article-id><article-id pub-id-type="doi">10.1111/chd.12780</article-id><article-id pub-id-type="manuscript">HHSPA1025900</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Lost in the system? Transfer to adult congenital heart disease care
&#x02013; challenges and solutions</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Gerardin</surname><given-names>Jennifer</given-names></name><degrees>MD</degrees><contrib-id contrib-id-type="orcid">http://orcid.org/0000-0002-6911-7499</contrib-id><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Raskind-Hood</surname><given-names>Cheryl</given-names></name><degrees>MPH</degrees><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><name><surname>Rodriguez</surname><given-names>Fred H.</given-names><suffix>III</suffix></name><degrees>MD</degrees><contrib-id contrib-id-type="orcid">http://orcid.org/0000-0002-4833-3483</contrib-id><xref ref-type="aff" rid="A3">3</xref><xref ref-type="aff" rid="A4">4</xref></contrib><contrib contrib-type="author"><name><surname>Hoffman</surname><given-names>Trenton</given-names></name><degrees>MS</degrees><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><name><surname>Kalogeropoulos</surname><given-names>Andreas</given-names></name><degrees>MD, MPH, PhD</degrees><xref ref-type="aff" rid="A5">5</xref></contrib><contrib contrib-type="author"><name><surname>Hogue</surname><given-names>Carol</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><name><surname>Book</surname><given-names>Wendy</given-names></name><degrees>MD</degrees><xref ref-type="aff" rid="A3">3</xref></contrib></contrib-group><aff id="A1"><label>1</label>Division of Cardiology, Department of Pediatrics, Medical
College of Wisconsin.</aff><aff id="A2"><label>2</label>Department of Epidemiology, Rollins School of Public
Health, Emory University, Atlanta, GA, USA</aff><aff id="A3"><label>3</label>Division of Cardiology, Dept. of Medicine, Emory University
School of Medicine, Atlanta, GA, USA</aff><aff id="A4"><label>4</label>Sibley Heart Center, Atlanta, GA USA</aff><aff id="A5"><label>5</label>Department of Medicine, Stony Brook University, Stony
Brook, NY</aff><author-notes><fn fn-type="con" id="FN1"><p id="P1"><bold>Author Contributions:</bold> All authors take responsibility
for the content of the manuscript. All authors had approval of final
manuscript. All authors have approved the manuscript and agree with
submission to Congenital Heart Disease.</p><p id="P2">Concept/design: Drs. Gerardin, Book, Hogue and Ms. Raskin Hood</p><p id="P3">Statistical analysis: Ms. Raskin-Hood and Mr. Hoffman.</p><p id="P4">Data analysis and interpretation: Ms. Raskind-Hood, Drs. Rodriguez,
Book, Gerardin, Hogue and Kalogeropoulos.</p><p id="P5">Initial drafting article: Dr. Gerardin</p><p id="P6">Critical revision of article: Ms. Raskind-Hood, Drs. Rodriguez, Book,
Gerardin, Hogue and Kalogeropoulos.</p></fn><corresp id="CR1"><bold>Correspondence:</bold> Jennifer Gerardin, MD, 8915 W.
Connell Ct. PO Box 1997, Milwaukee, WI 53226, Phone 414.266.7584 Fax
414.266.3261, <email>jgerardin@chw.org</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="epub"><day>08</day><month>5</month><year>2019</year></pub-date><pub-date pub-type="ppub"><month>7</month><year>2019</year></pub-date><pub-date pub-type="pmc-release"><day>01</day><month>7</month><year>2020</year></pub-date><volume>14</volume><issue>4</issue><fpage>541</fpage><lpage>548</lpage><!--elocation-id from pubmed: 10.1111/chd.12780--><abstract id="ABS1"><sec id="S1"><title>Objective:</title><p id="P7">Transfer of congenital heart disease care from the pediatric to adult
setting has been identified as a priority and is associated with better
outcomes. Our objective is to determine what percentage of patients with
congenital heart disease transferred to adult congenital cardiac care.</p></sec><sec id="S2"><title>Design:</title><p id="P8">A retrospective cohort study.</p></sec><sec id="S3"><title>Setting:</title><p id="P9">Referrals to a tertiary referral center for adult congenital heart
disease patients from its pediatric referral base.</p></sec><sec id="S4"><title>Patients:</title><p id="P10">This resulted in 1,514 patients age 16&#x02013;30, seen at least once
in three pediatric Georgia healthcare systems during 2008&#x02013;2010.</p></sec><sec id="S5"><title>Interventions:</title><p id="P11">We analyzed for protective factors associated with age-appropriate
care, including distance from referral center, age, timing of transfer,
gender, severity of adult congenital heart disease and comorbidities.</p></sec><sec id="S6"><title>Outcome Measures:</title><p id="P12">We analyzed initial care by age among patients under pediatric care
from 2008&#x02013;2010 and if patients under pediatric care subsequently
transferred to an adult congenital cardiologist in this separate pediatric
and adult health system during 2008&#x02013;2015.</p></sec><sec id="S7"><title>Results:</title><p id="P13">Among 1,514 initial patients (39% severe complexity), 24% were
beyond the recommended transfer age of 21 years. Overall, only 12.1%
transferred care to the referral affiliated adult hospital. 90% of these
adults that successfully transferred were seen by an adult congenital
cardiologist, with an average of 33.9 months between last pediatric visit
and first adult visit. Distance to referral center contributed to delayed
transfer to adult care. Those with severe congenital heart disease were more
likely to transfer (18.7% vs. 6.2% for not severe).</p></sec><sec id="S8"><title>Conclusion:</title><p id="P14">Patients with severe disease are more likely to transfer to adult
congenital heart disease care than non-severe disease. Most congenital heart
disease patients do not transfer to adult congenital cardiology care with
distance to referral center being a contributing factor. Both pediatric and
adult care providers need to understand and address barriers in order to
improve successful transfer.</p></sec></abstract><kwd-group><kwd>Transfer of Care</kwd><kwd>Transition</kwd><kwd>Adult Congenital Heart Disease</kwd></kwd-group></article-meta></front><body><sec id="S9"><title>Introduction</title><p id="P15">Advances in pediatric cardiology and congenital heart surgery have allowed
more individuals born with congenital heart disease (CHD) to live into adulthood.
Adults patients with CHD now outnumber pediatric CHD patients.<sup><xref rid="R1" ref-type="bibr">1</xref></sup> In the last few decades, the complexity of
the adult congenital heart disease (ACHD) population has continued to the
increase<sup><xref rid="R1" ref-type="bibr">1</xref>,<xref rid="R2" ref-type="bibr">2</xref></sup> emphasizing the urgency of providing suitable
and accessible ACHD care.</p><p id="P16">Adolescents with chronic disease should start transition education at age 12
years, and finally transfer to an appropriate adult provider by age 21.<sup><xref rid="R3" ref-type="bibr">3</xref></sup> American College of Cardiology (ACC)
and American Heart Association (AHA) guidelines recommend that complex ACHD patients
see an ACHD cardiologist. All other patients with CHD should be managed with
consultation or in conjunction with an ACHD cardiologist.<sup><xref rid="R4" ref-type="bibr">4</xref></sup> In Canada, ACHD referral centers improved
survival for patients.<sup><xref rid="R5" ref-type="bibr">5</xref></sup> Multiple
studies have shown improved surgical outcomes with congenital heart
surgeons.<sup><xref rid="R6" ref-type="bibr">6</xref>,<xref rid="R7" ref-type="bibr">7</xref>,<xref rid="R8" ref-type="bibr">8</xref></sup> In a
large single center study, ACHD cardiologists complied with guidelines more often
than pediatric or adult cardiologists without congenital training.<sup><xref rid="R9" ref-type="bibr">9</xref></sup> Now, there is a shift to formalize
training of ACHD physicians and accredit ACHD centers in the United
States.<sup><xref rid="R10" ref-type="bibr">10</xref>, <xref rid="R11" ref-type="bibr">11</xref></sup></p><p id="P17">Multiple studies have shown significant gaps in care after patients leave
their pediatric providers. Attrition from cardiology care can start in early
childhood prior to the recommended transition planning or transfer to adult
congenital cardiology care.<sup><xref rid="R12" ref-type="bibr">12</xref></sup> Much
of the literature on barriers to successful transfer of care is based on unvalidated
surveys of patients and providers. In the United States, successful ACHD programs
have been built at both pediatric and adult institutions. Different ACHD care
settings may have specific barriers to transfer of care for their ACHD
population.<sup><xref rid="R13" ref-type="bibr">13</xref></sup> The current
study evaluates inter-institutional transfer between a separate pediatric and adult
hospital system that, since 2004, has made a concerted effort to transfer care of
all soon-to-be ACHD patients into the adult system.<sup><xref rid="R14" ref-type="bibr">14</xref></sup> The aim of this study is to identify factors
associated with transfer from pediatric cardiology to adult congenital
cardiology.</p></sec><sec id="S10"><title>Methods</title><sec id="S11"><title>Study Population</title><p id="P18">Emory University Institutional Review Board (IRB) approved this
retrospective cohort study. <xref rid="F1" ref-type="fig">Figure 1</xref>
illustrates the cohort construction of 1,514 adolescent and young adult CHD
patients in this analysis who were between the ages of 16&#x02013;30 during
2008&#x02013;2010 and initially seen in a pediatric cardiology office. Data were
obtained from a pilot project conducted by Emory University in collaboration
with the Centers for Disease Control and Prevention (CDC) to develop a
population-based surveillance system of adolescents and adults with CHD in the
state of Georgia with primary focus on the five metropolitan Atlanta counties
(Clayton, Cobb, DeKalb, Fulton, and Gwinnett). The pilot study included cases
who had an encounter at least once from January 1, 2008-December 31, 2010 with a
CHD diagnostic code. These included <italic>International Classification of
Disease version 9.0 Clinical Modification</italic> (ICD-9-CM) codes 745.xx
&#x02013; 747.xx, excluding: congenital heart block (746.86), pulmonary
arteriovenous malformations (747.32), absent/hypoplastic umbilical artery
(747.5), other anomalies of peripheral vascular system (747.6&#x000d7;), and
other specified anomalies of circulatory system (747.8&#x000d7;). The study
excluded ICD-9-CM codes for prior heart transplant and isolated congenital
hypertrophic cardiomyopathy. The pilot study identified a total of 14,183 CHD
patients who met the case definition. Glidewell et al. explain the methodology
of the pilot study.<sup><xref rid="R15" ref-type="bibr">15</xref></sup> CHD
codes were categorized into five groups similar to Marelli et al.<sup><xref rid="R16" ref-type="bibr">16</xref></sup> which integrates both severity
and anatomy: severe, shunts, shunts plus valve, valve, and other CHD. The
modified Marelli classification accounts for ICD-9-CM codes and simplifies this
classification to severe and not severe as described by Glidewell et
al.<sup><xref rid="R15" ref-type="bibr">15</xref></sup> Severe CHD was
defined as a CHD usually requiring surgical or catheter intervention within the
first year of life. The remaining codes were combined and classified as
&#x0201c;not severe&#x0201d; for pilot study.</p><p id="P19">The clinical sources for included a large multi-hospital tertiary
referral pediatric system, a large academic referral healthcare system, state
Medicaid data, and a county hospital system. Supplemental information came from
state vital records, and a birth defect registry. Demographics, diagnostic and
procedural codes, and death information were linked into a common, de-identified
analytic dataset. Protected Health Information (PHI) were removed and replaced
with non-identifiable IDs to maintain confidentiality and only these
de-identified datasets were used for analysis.</p><p id="P20">Our study limited the initial cohort construction to 1,514 CHD patients
between the ages of 16&#x02013;30 initially that were seen at least once in a
Georgia pediatric cardiology practice in 2008&#x02013;2010. Our study included a
majority of pediatric cardiologists in Georgia and The Emory Healthcare system.
The initial cohort age range was chosen as the age range that, in our Georgia
healthcare system, would be expected to transfer to adult care from pediatric
care over the following 3&#x02013;6 years of available data. Individuals with an
isolated atrial septal defect or patent foramen (745.5 in isolation or in
combination with 746.89 and/or 746.9) were excluded due to high false
identification of cases with this code.<sup><xref rid="R17" ref-type="bibr">17</xref></sup> Baseline 2008&#x02013;2010 initial cohort demographics
are shown in <xref rid="T1" ref-type="table">Table 1</xref>. These individuals
were followed by record linkage from 2011 to 2016 to see if they transferred
into adult care at Emory Healthcare and Emory St. Joseph&#x02019;s Hospital
(<xref rid="F1" ref-type="fig">Figure 1</xref>). Provider specialty data was
provided in the data sets used to create the linked database. The locations of
the pediatric cardiology clinic and adult congenital cardiology clinics are
shown in <xref rid="F2" ref-type="fig">Figure 2</xref>. Follow up types of
encounters captured included inpatient, outpatient, and emergency room
encounters.</p></sec><sec id="S12"><title>Outcomes:</title><p id="P21">Outcomes included whether CHD patients transferred to an ACHD
cardiologist during 2008&#x02013;2015 and the number of clinic visits made to the
ACHD clinic between 2011 to 2016. Emory Healthcare and St. Joseph Hospital data
contained provider information. The provider specialty was confirmed searching
<ext-link ext-link-type="uri" xlink:href="http://www.emoryhealthcare.org/">www.emoryhealthcare.org</ext-link> and <ext-link ext-link-type="uri" xlink:href="http://www.doximity.com/">www.doximity.com</ext-link>. The Medicaid and county
hospital system data were excluded from this analysis since encounter data was
only available for 2008&#x02013;2010.</p></sec><sec id="S13"><title>Statistical Analysis:</title><p id="P22">Data analysis was conducted using SAS software, version 9.4 for Windows.
Frequencies for all categorical variables for the pediatric healthcare cohort by
age group were computed and chi square analyses were conducted. Bivariate
analysis by type of transition outcome used chi-square analysis to test the
differences in demographic characteristics for CHD patients who appropriately
transferred to an ACHD provider and those who transferred to a non-ACHD
provider.</p></sec></sec><sec id="S14"><title>Results</title><sec id="S15"><title>Initial cohort - Patients aged 16 years and older seen in pediatric
cardiology clinics</title><p id="P23">Among 1,514 patients aged 16&#x02013;30 years seen in pediatric
cardiology at index encounter, most (61%) had not severe complexity congenital
heart disease. There was a decrease in the number of patients seen after 21
years old in the pediatric system and only 24% were beyond the recommended
transfer age of 21 years (<xref rid="T1" ref-type="table">Table 1</xref>). There
are significant differences in baseline characteristics by age for gender, home
location, insurance type and severity of disease (<xref rid="T1" ref-type="table">Table 1</xref>). Patients who were retained in pediatric
care after reaching age 21 were predominantly women (80.2% in the
22&#x02013;25-year-old age range, 94.1% in the 26&#x02013;30 age range) with
greater disease severity (57.2%&#x02212;60.0%, respectively). The
22&#x02013;25-year-old group had the highest percent (59.4%) of patients residing
outside the five metropolitan-Atlanta counties.</p></sec><sec id="S16"><title>Transferred patients and ACHD patients seen in ACHD Center</title><p id="P24">Only 12.1% (183/1,514) transferred into the Emory Healthcare system and
11.0% (167/1514) to an ACHD cardiologist (<xref rid="T2" ref-type="table">Table
2</xref>). When assessed by age, the percent who transferred to the Emory
Healthcare system was 6.5% (37), 18.4% (108), 13.9% (26) and 7.1% (12) for the
initial age groups 16&#x02013;17, 18&#x02013;21, 22&#x02013;25 and 26&#x02013;30,
respectively (X<sup>2</sup> = 43.71, df =3, p&#x0003c;0.0001). Among those who
transferred to the adult system, 91.3% (167/183) transferred to an ACHD
cardiologist at Emory. The average transfer time between last pediatric visit
and first ACHD visit was 33.9 months. 18.7% (110/588) of patients with severe
CHD transferred adult congenital cardiology care compared to 6.2% (57/926) of
patients with non-severe CHD patients.</p></sec><sec id="S17"><title>Adult subspecialty interaction with ACHD patients by 2016</title><p id="P25">The <xref rid="F3" ref-type="fig">Figure 3</xref> shows that multiple
adult subspecialties interact with ACHD patients within the adult healthcare
system and less than 1/3 (29.8%) of all encounters were with an ACHD physician.
Most non-ACHD encounters represented other subspecialties like anesthesiology,
radiology and pathology (29.2%), adult cardiology (26%), and other adult
subspecialty (9.2%). Internal medicine, obstetrics and gynecology,
cardiovascular surgery, emergency department and family medicine each
represented less than 2% of encounters.</p></sec></sec><sec id="S18"><title>Discussion</title><sec id="S19"><title>Initial cohort - Patients aged 16 years and older seen in pediatric
cardiology clinics</title><p id="P26">In the healthcare system studied, ACHD patients transfer from pediatric
based care to an adult hospital and clinic setting began more than 10 years ago
due to pediatric hospital overcrowding and lack of adult multispecialty care in
the pediatric setting.<sup><xref rid="R14" ref-type="bibr">14</xref></sup> The
goal was to transfer patients to the adult healthcare system when they reached
between 18 and 21 years old. Less than 25 percent of patients aged 16 or older
seen in pediatric cardiology care from 2008&#x02013;2010 were aged 22 years or
older (<xref rid="T1" ref-type="table">Table 1</xref>). Although retention of
ACHD patients in the pediatric health system is low, results suggest additional
work is needed to help young adults stay in care.</p><p id="P27">Patients were more likely to be retained in a pediatric setting if they
were women or if they were seen outside of the five-county metropolitan-Atlanta
area. The pediatric practices consisted of 21 practices across the state of
Georgia (<xref rid="F2" ref-type="fig">Figure 2</xref>), whereas there is only
one ACHD center in Georgia in the Atlanta area, which may contribute to those
outside the metro area being more likely to remain in pediatric care. The
counties outside the five metropolitan-Atlanta counties had a significantly
higher percentage of 22&#x02013;25 year-olds (<xref rid="T1" ref-type="table">Table 1</xref>). In previous population studies, women have been shown to
stay longer in health care.<sup><xref rid="R12" ref-type="bibr">12</xref></sup>
One theory for the higher retention among woman in health care is insurance
coverage around a pregnancy. However, most of the women who remained in
pediatric care did not have a corresponding billing code for a pregnancy or a
fetal echocardiogram. Among adults who successfully transferred to the ACHD
clinic, 52% of them were women (<xref rid="T2" ref-type="table">Table
2</xref>).</p></sec><sec id="S20"><title>Transferred patients and ACHD patients seen in ACHD Center by 2016</title><p id="P28">Although high retention within the pediatric health system was not seen
after 21 years old (24%), there was a low percent (12%) of patients who
transferred to our adult healthcare system by 2016 (<xref rid="T2" ref-type="table">Table 2</xref>). Once patients reached the adult Emory
Healthcare System, over 90% of those patients transferred to ACHD care (<xref rid="T2" ref-type="table">Table 2</xref>). The patients who transferred from
pediatrics to ACHD care did so by age 21 years, but the average time revealed an
average gap in care of almost three years. In the current study, those with
severe CHD severity were more likely to stay in CHD care (<xref rid="T1" ref-type="table">Table 1</xref>&#x02013;<xref rid="T2" ref-type="table">2</xref>), and this finding is consistent with current
literature.<sup><xref rid="R13" ref-type="bibr">13</xref></sup> Although
severity of disease was a protective factor, most patients with severe disease
(81%) still did not transfer to ACHD care during the study time frame.</p><p id="P29">One possible reason for the low transfer rate may be some patients may
have relocated to another state. Many others have remained in Georgia, but may
be seen in another local adult health care systems or by adult cardiology
without ACHD training outside of the Emory Healthcare System. Another reason for
failure of successful transfer to the ACHD center may be related to insurance
access. Georgia has one of the highest uninsured rates in the United Studies
(13&#x02013;19%).<sup>18</sup> Although less than 1% of those who
successfully transferred to the ACHD center were uninsured, the percent of
uninsured individuals in Georgia was high during the study period; 18.8%, 15.8%,
13.9% and 12.9% in 2013, 2014, 2015, and 2016, respectively. Georgia is one of
the states that did not expand Medicaid<sup><xref rid="R18" ref-type="bibr">18</xref></sup> and many pediatric patients who were covered by
Medicaid and the Children&#x02019;s Health Insurance Program (CHIP) lose access
to this insurance at 18 years of age. Oregon Health and Science
University&#x02019;s ACHD program, which also has an inter-institutional transfer
of care model, reported a transfer rate of 34%, but also reported a high
retention rate in pediatric cardiology care of 31%.<sup><xref rid="R19" ref-type="bibr">19</xref></sup> Unlike Georgia, Oregon has a lower
uninsured population.<sup><xref rid="R18" ref-type="bibr">18</xref></sup> Even
though the Emory center has a charity care program and a social worker to help
with the process, new referrals may not be aware of all available resources, and
these resources can be challenging to access.</p><p id="P30">Structural barriers include lack of insurance, lack of reimbursement for
transition visits and inter-institutional transfer.<sup><xref rid="R20" ref-type="bibr">20</xref>, <xref rid="R21" ref-type="bibr">21</xref></sup> Institutional barriers may include lack of a formal
transition program, lack of ACHD providers, or unavailability of primary care
physicians comfortable caring for ACHD patients. Other institutional barriers
are related to the complexity of health care navigation or institutional age
limits.<sup><xref rid="R21" ref-type="bibr">21</xref></sup> Patients
graduating from the pediatric system and their families may find it difficult to
navigate the healthcare system with these barriers. Transferring from one
healthcare system to another can lead to an increase in structural and
institutional barriers for successful transfer of care.<sup><xref rid="R13" ref-type="bibr">13</xref></sup></p><p id="P31">Similar to other studies,<sup><xref rid="R12" ref-type="bibr">12</xref></sup> many patients are lost to care prior to the time of
transfer into the adult system and do not participate in the formal transition
program. Although a formal transition program is in place, it targets patients
and families already engaged in this process. The goal of Emory&#x02019;s quality
improvement (QI) projects over the last three years was to keep pediatric and
adult patients in care, and facilitate transfer of care for the adult patients.
Projects included a student-led public health initiative to ensure continued
care for established ACHD patients, an electronic medical record (EMR)
improvement to identify pediatric patients with gaps in care, and hiring of an
ACHD nurse navigator to facilitate new patient visits. Although the quality
improvement projects were not the goal of this study, these projects may reduce
gaps in care and improve transfer rates to lifelong adult congenital heart
disease care by reducing structural and intuitional barriers of a two-hospital
system.</p><p id="P32">The pediatric cardiology practice that refers to Emory adult congenital
heart center (ACHC) provides care to the majority of children with CHD in
Georgia and has a wide geographic coverage; the Emory ACHC is located within the
Atlanta metropolitan area and is the only adult congenital heart program in
Georgia. (<xref rid="F2" ref-type="fig">Figure 2</xref>). The center has a
limited outreach outside the five-county metro-Atlanta area which may explain
why there is an older population within the pediatric outreach centers. Services
such as telemedicine and expansion of outreach may improve access to ACHD care
for remote locations.</p></sec><sec id="S21"><title>Adult subspecialty interaction with ACHD patients</title><p id="P33">Many adult care providers do not realize that ACHD patients need to
return to adult congenital cardiology care. Outreach to outside adult healthcare
systems is needed to encourage patients to return to ACHD care since specialty
care has been shown to improve survival especially in patients with severe
CHD.<sup><xref rid="R5" ref-type="bibr">5</xref></sup> That this could
be an effective intervention is reflected in a survey of ACHD patients returning
to referral centers. Many reported that they returned to care on the
recommendation from a health care provider.<sup><xref rid="R22" ref-type="bibr">22</xref></sup> The current study shows that ACHD patients interacted
with many non-ACHD adult subspecialties within the Emory Healthcare system
(<xref rid="F3" ref-type="fig">Figure 3</xref>). This is in line with other
studies.<sup><xref rid="R9" ref-type="bibr">9</xref>,<xref rid="R12" ref-type="bibr">12</xref></sup> Many patients were seen by both an ACHD
cardiologist and another cardiology subspecialist including heart failure,
electrophysiology or interventional. The study did not estimate the number of
patients seen by adult cardiologists without congenital expertise outside of the
adult Emory Healthcare system. Very few patients were seen by general internal
medicine and family medicine within the Emory Healthcare system. The study was
unable to determine the role of primary care access as a factor in transfer of
care. Outreach to internal medicine physicians and trainees to encourage them to
refer complex patients may also ease their increasing discomfort treating young
adults with chronic disease due to a self-perception of lack of training and
lack of exposure to these diseases.<sup><xref rid="R22" ref-type="bibr">22</xref>,<xref rid="R23" ref-type="bibr">23</xref>,<xref rid="R24" ref-type="bibr">24</xref></sup></p></sec></sec><sec id="S22"><title>Limitations</title><p id="P34">This was a single center retrospective study. Our congenital heart program
has separate pediatric and adult systems; the obstacles in transition and transfer
of care may be different than other centers where the ACHD program is housed in the
pediatric center. Only access to the database for one large multi-center and
multi-specialty adult healthcare system for the full period of the study was
achieved. This study cannot account for patients that moved to a different state
during the study. The number of patients being cared for in adult healthcare systems
in the community is unknown, as is the number of patients lost to all health
care.</p><p id="P35">Medicaid claims data and data from county health system acquired from the
original pilot data set were excluded since provider information was absent and data
after 2010 were not available. Thus, an analysis of other non-ACHD center sites
where ACHD patients are receiving non-ACHD specialty care in the community was not
possible. In the future, evaluating other adult healthcare systems including the
county healthcare system may answer the question if these patients are seeking care
elsewhere or are lost to all healthcare.</p></sec><sec id="S23"><title>Conclusions</title><p id="P36">Most ACHD patients do not remain in pediatric cardiology care after 21 years
old, but a large majority also do not transfer to ACHD care. Gender, CHD severity,
insurance and distance to the referral center all affect the rate of transfer.
However, intensive outreach efforts to primary care, pediatric, and adult cardiology
in order to keep patients in healthcare may reduce the structural and institutional
barriers that can occur during transfer from pediatric healthcare to ACHD
healthcare. The benefit of interventions including improved access to outreach
clinics, EMR identification of patients with gaps in care and nurse navigators to
simplify the transfer process merit further investigation.</p></sec></body><back><ack id="S24"><title>Funding:</title><p id="P37">Dr. Book receives Funding/Support: Centers for Disease Control and Prevention, Grant/Award Number: CDC&#x02010;RFA&#x02010;DD15-1506</p><p id="P38">National Institutes of Health, National Heart Lung and Blood Institute,
35860</p></ack><fn-group><fn fn-type="COI-statement" id="FN2"><p id="P39">Conflict of Interest: None of the authors have any conflict of
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healthcare system.</p></caption><graphic xlink:href="nihms-1025900-f0003"/></fig><table-wrap id="T1" position="float" orientation="portrait"><label>Table 1.</label><caption><p id="P43">Demographics by age group of the initial cohort seen in pediatric
cardiology clinics.</p></caption><table frame="box" rules="all"><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"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th rowspan="2" align="left" valign="top" colspan="1"/><th colspan="5" align="center" valign="middle" rowspan="1">AGE GROUPING (N=1,514)</th></tr><tr><th align="center" valign="middle" rowspan="1" colspan="1"><underline>16&#x02013;17</underline><break/>n=571<break/>(37.7%)</th><th align="center" valign="middle" rowspan="1" colspan="1"><underline>18&#x02013;21</underline><break/>n=586<break/>(38.7%)</th><th align="center" valign="middle" rowspan="1" colspan="1"><underline>22&#x02013;25</underline><break/>n=187<break/>(12.4%)</th><th align="center" valign="middle" rowspan="1" colspan="1"><underline>26&#x02013;30</underline><break/>n=170 <break/>(11.2%)</th><th align="center" valign="middle" rowspan="1" colspan="1">X<sup>2</sup></th></tr></thead><tbody><tr><td colspan="6" align="left" valign="middle" rowspan="1"><bold>GENDER</bold></td></tr><tr><td align="right" valign="middle" rowspan="1" colspan="1">Female</td><td align="center" valign="middle" rowspan="1" colspan="1">264 (46.2%)</td><td align="center" valign="middle" rowspan="1" colspan="1">315 (53.8%)</td><td align="center" valign="middle" rowspan="1" colspan="1">150 (80.2%)</td><td align="center" valign="middle" rowspan="1" colspan="1">160 (94.1%)</td><td align="center" valign="middle" rowspan="1" colspan="1">166.2, df=3,<break/>p&#x0003c;.0001</td></tr><tr><td colspan="6" align="left" valign="middle" rowspan="1"><bold>INSURANCE</bold></td></tr><tr><td align="right" valign="middle" rowspan="1" colspan="1">Private</td><td align="center" valign="middle" rowspan="1" colspan="1">425 (74.4%)</td><td align="center" valign="middle" rowspan="1" colspan="1">405 (69.1%)</td><td align="center" valign="middle" rowspan="1" colspan="1">112 (59.9%)</td><td align="center" valign="middle" rowspan="1" colspan="1">127 (74.7%)</td><td rowspan="4" align="center" valign="middle" colspan="1">37.6,
df=9,<break/>p&#x0003c;.0001</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Public</td><td align="center" valign="middle" rowspan="1" colspan="1">133 (23.3%)</td><td align="center" valign="middle" rowspan="1" colspan="1">148 (25.3%)</td><td align="center" valign="middle" rowspan="1" colspan="1">55 (29.4%)</td><td align="center" valign="middle" rowspan="1" colspan="1">31 (18.2%)</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">None</td><td align="center" valign="middle" rowspan="1" colspan="1">0 (0.0%)</td><td align="center" valign="middle" rowspan="1" colspan="1">7 (1.2%)</td><td align="center" valign="middle" rowspan="1" colspan="1">1 (0.5%)</td><td align="center" valign="middle" rowspan="1" colspan="1">1 (0.6%)</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Other Unknown</td><td align="center" valign="middle" rowspan="1" colspan="1">13 (2.3%)</td><td align="center" valign="middle" rowspan="1" colspan="1">26 (4.4%)</td><td align="center" valign="middle" rowspan="1" colspan="1">19 (10.2%)</td><td align="center" valign="middle" rowspan="1" colspan="1">11 (6.5%</td></tr><tr><td colspan="6" align="left" valign="middle" rowspan="1"><bold>SEVERITY OF
CHD</bold></td></tr><tr><td align="right" valign="middle" rowspan="1" colspan="1">Not Severe</td><td align="center" valign="middle" rowspan="1" colspan="1">413 (72.3%)</td><td align="center" valign="middle" rowspan="1" colspan="1">365 (62.3%)</td><td align="center" valign="middle" rowspan="1" colspan="1">80 (42.8%)</td><td align="center" valign="middle" rowspan="1" colspan="1">68 (40.0%)</td><td rowspan="2" align="center" valign="middle" colspan="1">88.9,
df=3,<break/>p&#x0003c;.0001</td></tr><tr><td align="right" valign="middle" rowspan="1" colspan="1">Severe</td><td align="center" valign="middle" rowspan="1" colspan="1">158 (27.7%)</td><td align="center" valign="middle" rowspan="1" colspan="1">221 (37.7%)</td><td align="center" valign="middle" rowspan="1" colspan="1">107 (57.2%)</td><td align="center" valign="middle" rowspan="1" colspan="1">102 (60.0%)</td></tr><tr><td colspan="6" align="left" valign="middle" rowspan="1"><bold>COMORBIDITIES</bold></td></tr><tr><td align="right" valign="middle" rowspan="1" colspan="1">Hypertension</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02003;18 (3.2%)</td><td align="center" valign="middle" rowspan="1" colspan="1">24 (4.1%)</td><td align="center" valign="middle" rowspan="1" colspan="1">7 (3.7%)</td><td align="center" valign="middle" rowspan="1" colspan="1">2 (1.2%)</td><td align="center" valign="middle" rowspan="1" colspan="1">ns</td></tr><tr><td align="right" valign="middle" rowspan="1" colspan="1">Coronary artery disease</td><td align="center" valign="middle" rowspan="1" colspan="1">4 (0.7%)</td><td align="center" valign="middle" rowspan="1" colspan="1">18 (3.1%)</td><td align="center" valign="middle" rowspan="1" colspan="1">4 (2.1%)</td><td align="center" valign="middle" rowspan="1" colspan="1">2 (1.2%)</td><td align="center" valign="middle" rowspan="1" colspan="1">9.5, df=3,<break/>p&#x0003c;.05</td></tr><tr><td align="right" valign="middle" rowspan="1" colspan="1">&#x02003;Diabetes Mellitus</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02003;3 (0.5%)</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02003;7 (1.2%)</td><td align="center" valign="middle" rowspan="1" colspan="1">2 (1.1%)</td><td align="center" valign="middle" rowspan="1" colspan="1">1 (0.6%)</td><td align="center" valign="middle" rowspan="1" colspan="1">ns</td></tr><tr><td align="right" valign="middle" rowspan="1" colspan="1">Non CHD Birth Defects</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02003;54 (9.5%)</td><td align="center" valign="middle" rowspan="1" colspan="1">71(12.1%)</td><td align="center" valign="middle" rowspan="1" colspan="1">19 (10.2%)</td><td align="center" valign="middle" rowspan="1" colspan="1">13 (7.7%)</td><td align="center" valign="middle" rowspan="1" colspan="1">ns</td></tr><tr><td align="right" valign="middle" rowspan="1" colspan="1">Mental Health</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02003;17 (3.0%)</td><td align="center" valign="middle" rowspan="1" colspan="1">29 (5.0%)</td><td align="center" valign="middle" rowspan="1" colspan="1">5 (2.7%)</td><td align="center" valign="middle" rowspan="1" colspan="1">7 (4.1%)</td><td align="center" valign="middle" rowspan="1" colspan="1">ns</td></tr><tr><td align="right" valign="middle" rowspan="1" colspan="1">Neuro</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02003;10 (1.8%)</td><td align="center" valign="middle" rowspan="1" colspan="1">16 (2.7%)</td><td align="center" valign="middle" rowspan="1" colspan="1">1 (0.5%)</td><td align="center" valign="middle" rowspan="1" colspan="1">2 (1.2%)</td><td align="center" valign="middle" rowspan="1" colspan="1">ns</td></tr><tr><td colspan="6" align="left" valign="middle" rowspan="1"><bold>HOME / 5 COUNTY
STATUS</bold></td></tr><tr><td align="right" valign="middle" rowspan="1" colspan="1">Within 5 <break/>Metro-Atlanta</td><td align="center" valign="middle" rowspan="1" colspan="1">244 (42.7%)</td><td align="left" valign="middle" rowspan="1" colspan="1">260 (44.4%)</td><td align="center" valign="middle" rowspan="1" colspan="1">6 (33.7%)</td><td align="center" valign="middle" rowspan="1" colspan="1">78 (45.9%)</td><td rowspan="3" align="center" valign="middle" colspan="1">13.0,
df=6,<break/>p&#x0003c;.05</td></tr><tr><td align="right" valign="middle" rowspan="1" colspan="1">Outside 5 <break/>Metro-Atlanta</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02003;296 (51.8%)</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02003;300 (51.2%)</td><td align="center" valign="middle" rowspan="1" colspan="1">111 (59.4%)</td><td align="center" valign="middle" rowspan="1" colspan="1">77 (45.3%)</td></tr><tr><td align="right" valign="middle" rowspan="1" colspan="1">Unknown</td><td align="center" valign="middle" rowspan="1" colspan="1">31 (5.4%)</td><td align="center" valign="middle" rowspan="1" colspan="1">26 (4.4%)</td><td align="center" valign="middle" rowspan="1" colspan="1">13 (6.9%)</td><td align="center" valign="middle" rowspan="1" colspan="1">15 (8.8%)</td></tr><tr><td colspan="6" align="left" valign="middle" rowspan="1"><bold>PREGNANCY</bold></td></tr><tr><td align="right" valign="middle" rowspan="1" colspan="1">Pregnant</td><td align="center" valign="middle" rowspan="1" colspan="1">8 (1.4%)</td><td align="center" valign="middle" rowspan="1" colspan="1">19 (3.2%)</td><td align="center" valign="middle" rowspan="1" colspan="1">10 (5.4%)</td><td align="center" valign="middle" rowspan="1" colspan="1">10 (5.9%)</td><td align="center" valign="middle" rowspan="1" colspan="1">13.0, df=3,<break/>p&#x0003c; .01</td></tr><tr><td align="right" valign="middle" rowspan="1" colspan="1">Fetal Echo
<break/>(CPT:76825,&#x000a0;<break/>76827,&#x000a0;93325)</td><td align="center" valign="middle" rowspan="1" colspan="1">8 (1.4%)</td><td align="center" valign="middle" rowspan="1" colspan="1">16 (2.7%)</td><td align="center" valign="middle" rowspan="1" colspan="1">10 (5.4%)</td><td align="center" valign="middle" rowspan="1" colspan="1">6 (3.5%)</td><td align="center" valign="middle" rowspan="1" colspan="1">9.3, df=3,<break/>p&#x0003c;.05</td></tr></tbody></table></table-wrap><table-wrap id="T2" position="float" orientation="portrait"><label>Table 2.</label><caption><p id="P44">Characteristics of transfer group.</p></caption><table frame="box" rules="all"><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 rowspan="2" align="left" valign="top" colspan="1"/><th colspan="3" align="left" valign="top" rowspan="1">TRANSFER GROUPING* (N=183)</th></tr><tr><th align="center" valign="top" rowspan="1" colspan="1">Appropriate ACHD Transfer<break/>(n=167,
91.3%)</th><th align="center" valign="top" rowspan="1" colspan="1">Transferred, but not to ACHD<break/>(n=16,
8.7%)</th><th align="center" valign="top" rowspan="1" colspan="1"><italic>X</italic><sup>2</sup></th></tr></thead><tbody><tr><td colspan="4" align="left" valign="top" rowspan="1"><bold>GENDER</bold></td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Female</td><td align="center" valign="top" rowspan="1" colspan="1">88 (52.7%)</td><td align="center" valign="top" rowspan="1" colspan="1">8 (50.0%)</td><td align="center" valign="top" rowspan="1" colspan="1">ns</td></tr><tr><td colspan="4" align="left" valign="top" rowspan="1"><bold>AGE</bold></td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">16&#x02013;17</td><td align="center" valign="top" rowspan="1" colspan="1">31 (18.6%)</td><td align="center" valign="top" rowspan="1" colspan="1">6 (37.5%)</td><td rowspan="4" align="center" valign="top" colspan="1">ns</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">18&#x02013;21</td><td align="center" valign="top" rowspan="1" colspan="1">101 (60.5%)</td><td align="center" valign="top" rowspan="1" colspan="1">7 (43.8%)</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">22&#x02013;25</td><td align="center" valign="top" rowspan="1" colspan="1">25 (14.9%)</td><td align="center" valign="top" rowspan="1" colspan="1">1 (6.25%)</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">26&#x02013;30</td><td align="center" valign="top" rowspan="1" colspan="1">10 (5.9%)</td><td align="center" valign="top" rowspan="1" colspan="1">2 (12.5%)</td></tr><tr><td colspan="4" align="left" valign="top" rowspan="1"><bold>INSURANCE</bold></td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Private</td><td align="center" valign="top" rowspan="1" colspan="1">88 (52.7%)</td><td align="center" valign="top" rowspan="1" colspan="1">8 (50.0%)</td><td rowspan="4" align="center" valign="top" colspan="1">ns</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Public</td><td align="center" valign="top" rowspan="1" colspan="1">72 (43.1%)</td><td align="center" valign="top" rowspan="1" colspan="1">7 (43.8%)</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">None</td><td align="center" valign="top" rowspan="1" colspan="1">1 (0.6%)</td><td align="center" valign="top" rowspan="1" colspan="1">0 (0.0%)</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Other/Unknown</td><td align="center" valign="top" rowspan="1" colspan="1">6 (3.6%)</td><td align="center" valign="top" rowspan="1" colspan="1">1 (6.3%)</td></tr><tr><td colspan="4" align="left" valign="top" rowspan="1"><bold>SEVERITY OF CHD</bold></td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Not Severe</td><td align="center" valign="top" rowspan="1" colspan="1">57 (34.1%)</td><td align="center" valign="top" rowspan="1" colspan="1">13 (81.2%)</td><td rowspan="2" align="center" valign="top" colspan="1">13.7, df=1, p&#x0003c;.001</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Severe</td><td align="center" valign="top" rowspan="1" colspan="1">110 (65.9%)</td><td align="center" valign="top" rowspan="1" colspan="1">3 (18.8%)</td></tr><tr><td colspan="4" align="left" valign="top" rowspan="1"><bold>COMORBIDITIES</bold></td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Hypertension</td><td align="center" valign="top" rowspan="1" colspan="1">31 (18.6%)</td><td align="center" valign="top" rowspan="1" colspan="1">1 (6.2%)</td><td align="center" valign="top" rowspan="1" colspan="1">ns</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Coronary artery disease</td><td align="center" valign="top" rowspan="1" colspan="1">23 (13.8%)</td><td align="center" valign="top" rowspan="1" colspan="1">0 (0.0%)</td><td align="center" valign="top" rowspan="1" colspan="1">ns</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Diabetes mellitus</td><td align="center" valign="top" rowspan="1" colspan="1">6 (3.6%)</td><td align="center" valign="top" rowspan="1" colspan="1">0 (0.0%)</td><td align="center" valign="top" rowspan="1" colspan="1">ns</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Non-CHD <break/>Birth Defects</td><td align="center" valign="top" rowspan="1" colspan="1">44 (26.4%)</td><td align="center" valign="top" rowspan="1" colspan="1">1 (6.2%)</td><td align="center" valign="top" rowspan="1" colspan="1">ns</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Mental Health</td><td align="center" valign="top" rowspan="1" colspan="1">32 (19.2%)</td><td align="center" valign="top" rowspan="1" colspan="1">3 (18.8%)</td><td align="center" valign="top" rowspan="1" colspan="1">ns</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Neuro</td><td align="center" valign="top" rowspan="1" colspan="1">11 (6.6%)</td><td align="center" valign="top" rowspan="1" colspan="1">0 (0.0%)</td><td align="center" valign="top" rowspan="1" colspan="1">ns</td></tr><tr><td colspan="4" align="left" valign="top" rowspan="1"><bold>HOME / 5 COUNTY
STATUS</bold></td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Within 5 <break/>Metro-Atlanta</td><td align="center" valign="top" rowspan="1" colspan="1">74 (44.3%)</td><td align="center" valign="top" rowspan="1" colspan="1">10 (62.5%)</td><td rowspan="3" align="center" valign="top" colspan="1">ns</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Outside 5 <break/>Metro-Atlanta</td><td align="center" valign="top" rowspan="1" colspan="1">93 (55.7%)</td><td align="center" valign="top" rowspan="1" colspan="1">6 (37.5%)</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Unknown</td><td align="center" valign="top" rowspan="1" colspan="1">--</td><td align="center" valign="top" rowspan="1" colspan="1">--</td></tr><tr><td colspan="4" align="left" valign="top" rowspan="1"><bold>PREGNANCY</bold></td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Pregnancy</td><td align="center" valign="top" rowspan="1" colspan="1">23 (13.8%)</td><td align="center" valign="top" rowspan="1" colspan="1">3 (18.8%)</td><td align="center" valign="top" rowspan="1" colspan="1">ns</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Fetal Echo<break/>(CPT:
76825,&#x000a0;76827,&#x000a0;93325)</td><td align="center" valign="top" rowspan="1" colspan="1">16 (9.6%)</td><td align="center" valign="top" rowspan="1" colspan="1">3 (18.8%)</td><td align="center" valign="top" rowspan="1" colspan="1">ns</td></tr></tbody></table></table-wrap></floats-group></article>