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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" xml:lang="en" article-type="research-article"><?properties manuscript?><processing-meta base-tagset="archiving" mathml-version="3.0" table-model="xhtml" tagset-family="jats"><restricted-by>pmc</restricted-by></processing-meta><front><journal-meta><journal-id journal-id-type="nlm-journal-id">0210174</journal-id><journal-id journal-id-type="pubmed-jr-id">3342</journal-id><journal-id journal-id-type="nlm-ta">Int J Gynaecol Obstet</journal-id><journal-id journal-id-type="iso-abbrev">Int J Gynaecol Obstet</journal-id><journal-title-group><journal-title>International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics</journal-title></journal-title-group><issn pub-type="ppub">0020-7292</issn><issn pub-type="epub">1879-3479</issn></journal-meta><article-meta><article-id pub-id-type="pmid">40145399</article-id><article-id pub-id-type="pmc">12121350</article-id><article-id pub-id-type="doi">10.1002/ijgo.15970</article-id><article-id pub-id-type="manuscript">NIHMS2030705</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Perceived feasibility of a multicomponent prenatal intervention on
childhood vaccinations: Findings from a national cross-sectional survey of
prenatal care providers, April-June 2022</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Vasudevan</surname><given-names>Lavanya</given-names></name><xref rid="A1" ref-type="aff">a</xref><xref rid="A2" ref-type="aff">b</xref><xref rid="CR1" ref-type="corresp">*</xref><xref rid="FN1" ref-type="author-notes">#</xref></contrib><contrib contrib-type="author"><name><surname>Porter</surname><given-names>Rachael M.</given-names></name><xref rid="A1" ref-type="aff">a</xref><xref rid="FN1" ref-type="author-notes">#</xref></contrib><contrib contrib-type="author"><name><surname>Stinnett</surname><given-names>Sandra S.</given-names></name><xref rid="A3" ref-type="aff">c</xref></contrib><contrib contrib-type="author"><name><surname>Hart</surname><given-names>Lauren</given-names></name><xref rid="A4" ref-type="aff">d</xref></contrib><contrib contrib-type="author"><name><surname>Turner</surname><given-names>Elizabeth L.</given-names></name><xref rid="A2" ref-type="aff">b</xref><xref rid="A3" ref-type="aff">c</xref></contrib><contrib contrib-type="author"><name><surname>Zullig</surname><given-names>Leah L.</given-names></name><xref rid="A5" ref-type="aff">e</xref></contrib><contrib contrib-type="author"><name><surname>Vogt</surname><given-names>Tara M.</given-names></name><xref rid="A6" ref-type="aff">f</xref></contrib><contrib contrib-type="author"><name><surname>Swamy</surname><given-names>Geeta K.</given-names></name><xref rid="A7" ref-type="aff">g</xref><xref rid="A8" ref-type="aff">h</xref></contrib><contrib contrib-type="author"><name><surname>Walter</surname><given-names>Emmanuel B.</given-names></name><xref rid="A2" ref-type="aff">b</xref><xref rid="A8" ref-type="aff">h</xref><xref rid="A9" ref-type="aff">i</xref></contrib><contrib contrib-type="author"><name><surname>Bednarczyk</surname><given-names>Robert A.</given-names></name><xref rid="A1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Orenstein</surname><given-names>Walter A.</given-names></name><xref rid="A1" ref-type="aff">a</xref><xref rid="A10" ref-type="aff">j</xref></contrib><contrib contrib-type="author"><name><surname>Gray</surname><given-names>Beverly</given-names></name><xref rid="A7" ref-type="aff">g</xref></contrib><contrib contrib-type="author"><collab>ADEPT External Advisory Board</collab></contrib></contrib-group><aff id="A1"><label>a</label>Hubert Department of Global Health, Rollins School of
Public Health, Emory University, Atlanta, GA, USA</aff><aff id="A2"><label>b</label>Duke Global Health Institute, Durham, NC, USA</aff><aff id="A3"><label>c</label>Department of Biostatistics and Bioinformatics, School of
Medicine, Duke University, Durham, NC, USA</aff><aff id="A4"><label>d</label>Department of Family Medicine and Community Health, Duke
University, Durham, NC, USA</aff><aff id="A5"><label>e</label>Department of Population Health Sciences, Duke University,
Durham, NC, USA</aff><aff id="A6"><label>f</label>United States Centers for Disease Control and Prevention,
Atlanta, GA, USA</aff><aff id="A7"><label>g</label>Department of Obstetrics and Gynecology, School of
Medicine, Duke University, Durham, NC, USA</aff><aff id="A8"><label>h</label>Duke Human Vaccine Institute, School of Medicine, Durham,
NC, USA</aff><aff id="A9"><label>i</label>Department of Pediatrics, School of Medicine, Duke
University, Durham, NC, USA</aff><aff id="A10"><label>j</label>Emory Vaccine Center, Emory University, Atlanta, GA,
USA</aff><author-notes><fn fn-type="equal" id="FN1"><label>#</label><p id="P1">Authors contributed equally to the development of this manuscript</p></fn><corresp id="CR1"><label>*</label><bold>CORRESPONDING AUTHOR:</bold> Lavanya
Vasudevan, <email>lavanya.vasudevan@emory.edu</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>28</day><month>10</month><year>2024</year></pub-date><pub-date pub-type="ppub"><month>6</month><year>2025</year></pub-date><pub-date pub-type="epub"><day>27</day><month>3</month><year>2025</year></pub-date><pub-date pub-type="pmc-release"><day>01</day><month>6</month><year>2026</year></pub-date><volume>169</volume><issue>3</issue><fpage>1162</fpage><lpage>1173</lpage><abstract id="ABS1"><sec id="S1"><title>Background</title><p id="P2">There are inadequate proactive interventions that take advantage of
medical contacts during pregnancy to build confidence in vaccines
recommended for children after birth. In addition, prenatal
providers&#x02019; perceptions on implementing such proactive childhood
vaccination-focused interventions are not well understood.</p></sec><sec id="S2"><title>Methods</title><p id="P3">A multicomponent prenatal intervention on childhood vaccines was
designed for expectant parents to include a prenatal provider recommendation
encouraging age-appropriate vaccines for children after birth, an
educational website on vaccine recommendations and resources, and a phone
consultation with a vaccine navigator during pregnancy. Members of national
prenatal provider organizations in the United States were recruited from
April-June 2022 for an online cross-sectional survey to assess their
demographic and practice characteristics, perceived role as vaccine
advocates, training needs, perceived intervention feasibility, and perceived
implementation factors.</p></sec><sec id="S3"><title>Results</title><p id="P4">After data validation, 495 of 1677 responses were included for
analysis. Providers expressed agreement (65.1%) with the importance of
discussing vaccinations with others, but fewer (46.7%) agreed that they had
an impact on changing people&#x02019;s views on vaccination. Over half of
providers agreed or completely agreed that the proposed intervention was
feasible, as measured through the 4-item Feasibility of Intervention Measure
(FIM) (% agreement range reported across items for educational website:
71.4%-75.2%; provider recommendation: 54.0%-59.7%; and vaccine navigator:
53.9%-56.7%). Availability of adequate staff resources (48.0%), time
constraints (47.8%), and adequate training on childhood vaccines (45.4%)
were the top three perceived implementation challenges. Perceived
facilitators included availability of patient education resources on
childhood vaccines (57.7%).</p></sec><sec id="S4"><title>Conclusions</title><p id="P5">The proposed intervention to build confidence in childhood vaccines
was perceived by providers to be feasible in prenatal settings. Supportive
strategies that reduce time and staff burden and increase provider
competency to discuss childhood vaccines will be necessary to overcome
perceived implementation challenges. Intervention feasibility and
implementation factors should be reassessed upon actual implementation of
the intervention.</p></sec></abstract><kwd-group><kwd>Pregnancy</kwd><kwd>prenatal provider</kwd><kwd>childhood vaccines</kwd><kwd>United States</kwd><kwd>feasibility</kwd></kwd-group></article-meta></front><body><sec id="S5"><title>BACKGROUND</title><p id="P6">The success of routine childhood vaccination programs hinges in part on the
intention of parents to seek childhood vaccinations. Most parents in the United
States (US) favor vaccination; however, patterns of childhood vaccinations vary
considerably with some parents choosing to delay or refuse some or all vaccinations
for their child.[<xref rid="R1" ref-type="bibr">1</xref>&#x02013;<xref rid="R3" ref-type="bibr">3</xref>] Studies suggest that parental decisions about
childhood vaccinations may be solidified during pregnancy[<xref rid="R4" ref-type="bibr">4</xref>] or, in some cases, earlier.[<xref rid="R5" ref-type="bibr">5</xref>] Pregnancy represents an opportunity to proactively
promote health interventions as patients are highly engaged in prenatal care, view
prenatal care providers as trusted sources of information, and are highly motivated
to achieve best outcomes for themselves and their infants. This may also be an
opportunity to proactively engage in vaccine counseling to reach parents before
vaccination decisions become entrenched. There is currently limited research on
childhood vaccination promotion interventions delivered proactively during
pregnancy.[<xref rid="R6" ref-type="bibr">6</xref>]</p><p id="P7">There are two key research gaps prior to implementing childhood vaccination
promotion interventions during pregnancy. First, little is known about the
willingness of prenatal providers to advocate for childhood vaccinations during
pregnancy. Prenatal providers are not formally trained to discuss childhood
vaccinations, as their primary focus is on maternal health and pregnancy
outcomes.[<xref rid="R7" ref-type="bibr">7</xref>] Current evidence suggests
that training prenatal care providers on vaccines recommended during pregnancy can
increase provider confidence and comfort with vaccination discussions.[<xref rid="R8" ref-type="bibr">8</xref>] However, studies on effectiveness of training
prenatal providers on childhood vaccinations are lacking, and current childhood
vaccination training programs cater to pediatric, not prenatal providers.[<xref rid="R7" ref-type="bibr">7</xref>, <xref rid="R9" ref-type="bibr">9</xref>,
<xref rid="R10" ref-type="bibr">10</xref>] Further research is necessary to
describe prenatal providers&#x02019; perceived role as vaccination advocates and any
training needs specific to childhood vaccinations.</p><p id="P8">Second, multicomponent strategies that incorporate tailored and
dialogue-based information may be more effective at increasing vaccine uptake.[<xref rid="R30" ref-type="bibr">30</xref>] However, the evidence is mixed for the use
of such strategies to promote the importance of childhood vaccinations during
pregnancy. Some studies describing efforts to promote childhood vaccinations during
prenatal care show promise with respect to intervention acceptability and impact on
timeliness or coverage of childhood vaccinations.[<xref rid="R11" ref-type="bibr">11</xref>&#x02013;<xref rid="R15" ref-type="bibr">15</xref>] However, in a study
from New Zealand, Veerasingham et al.[<xref rid="R16" ref-type="bibr">16</xref>]
found that encouraging vaccination information received during pregnancy had no
impact on the timeliness of infant immunizations. While the authors used
participants&#x02019; self-reported classification of information as encouraging or
discouraging, they did not analyze the content or quality of the information. These
data suggest the need for further research to establish the most effective
strategies to mitigate vaccine hesitancy in the prenatal care period and in prenatal
care settings.</p><p id="P9">As part of a cooperative agreement with the US Centers for Disease Control
and Prevention (CDC), we sought to implement and evaluate a multicomponent
intervention to promote the importance of childhood vaccinations as part of
routine prenatal care. To inform intervention implementation, we collected
information from a diverse group of prenatal care providers practicing in routine
prenatal care settings in the US on their perceived role as a vaccine advocate,
training needs around childhood vaccination, as well as feasibility of and
implementation factors for the proposed multicomponent intervention. Study findings
may help inform quality improvement goals and efforts related to vaccinations in
prenatal practices.</p></sec><sec id="S6"><title>METHODS</title><p id="P10">The methods of this study are described in accordance with the STrengthening
the Reporting of OBservational studies in Epidemiology (STROBE) checklist for
cross-sectional studies (<xref rid="SD2" ref-type="supplementary-material">Supplementary File 1</xref>, <xref rid="SD2" ref-type="supplementary-material">Supplementary Table 1</xref>).[<xref rid="R17" ref-type="bibr">17</xref>]</p><sec id="S7"><title>Study design:</title><p id="P11">A cross-sectional survey was conducted of nationally-recruited prenatal
providers in the US. The goal of the survey was to assess the perceived role of
prenatal providers as vaccine advocates and the feasibility of implementing a
multicomponent intervention during pregnancy in prenatal settings to promote
vaccinations recommended for children after birth. Providers were presented with
brief descriptions of the three intervention components proposed: a prenatal
provider recommendation in favor of childhood vaccinations, a web-based
educational resource on childhood vaccinations, and availability of a vaccine
navigator for task-shifting conversations with vaccine hesitant individuals.
Intervention and survey details are presented below.</p></sec><sec id="S8"><title>Setting and timeframe:</title><p id="P12">The survey was limited to prenatal providers practicing in the United
States. Data collection occurred from April &#x02013; June 2022.</p></sec><sec id="S9"><title>Ethical approval:</title><p id="P13">The study protocol was approved by the Duke University Health System
Institutional Review Board (IRB, Pro00109337) and the Emory University IRB
(reliance agreement STUDY00005457).</p></sec><sec id="S10"><title>Participants:</title><p id="P14">To be eligible for the survey, prenatal providers had to be &#x02265;18
years of age, providing routine prenatal care for part or all their time,
working or practicing in the United States, and fluent in English. There were no
exclusion criteria based on the type of prenatal provider.</p></sec><sec id="S11"><title>Sampling strategy and recruitment:</title><p id="P15">Providers were recruited using non-probability-based sampling. The
survey was distributed to members of two national prenatal provider
organizations: American College of Obstetricians and Gynecologists (ACOG) and
American College of Nurse Midwives (ACNM). According to their websites, ACOG has
a membership of 60,000 individuals[<xref rid="R18" ref-type="bibr">18</xref>]
and ACNM has a membership of 6500 individuals.[<xref rid="R19" ref-type="bibr">19</xref>] The survey link was distributed via study-specific flyers posted
in the organizations&#x02019; newsletters and social media channels. A third
organization (Society for Maternal Fetal Medicine, SMFM), which has overlapping
membership with ACOG, sent out reminders pointing its members to the ACOG survey
link. Study team members who are prenatal providers (GS, BG) also posted the
survey link on their personal twitter feeds.</p></sec><sec id="S12"><title>Variables:</title><p id="P16">Survey domains, variables, and expected outcomes are described in <xref rid="SD2" ref-type="supplementary-material">Supplementary Table 2</xref> of
<xref rid="SD2" ref-type="supplementary-material">Supplementary File
1</xref>. In brief, the survey included questions on prenatal provider
characteristics (e.g., age, training, years of practice), practice
characteristics (e.g., size, panel, vaccination policies), providers&#x02019;
perceived role as a vaccine advocate, training needs around childhood
vaccinations, intervention feasibility, and implementation factors (i.e.,
barriers or facilitators of intervention implementation in routine prenatal
settings).</p><p id="P17">The sections on intervention feasibility and implementation factors were
preceded by brief descriptions of the proposed intervention components as
follows: <list list-type="bullet" id="L2"><list-item><p id="P18">Provider recommendation: Prenatal care providers are asked
to discuss the importance of childhood vaccinations with pregnant
patients during a third trimester clinic visit. The recommendation
is brief and directs pregnant patients to the other intervention
components listed below (an educational website, phone call with a
vaccine navigator) if they need more information.</p></list-item><list-item><p id="P19">An educational website: The website is available in English
and Spanish, and summarizes key information about childhood
vaccines, schedule, safety, and other frequently asked questions.
Printed versions are available to those with low technology
access.</p></list-item><list-item><p id="P20">Vaccine navigator: A vaccine navigator is available via
phone to talk to any pregnant patients who have specific questions
of concerns about childhood vaccines. The vaccine navigator takes
care of any counseling needs around childhood vaccinations that
would otherwise fall to the prenatal care provider.</p></list-item></list> The feasibility of the intervention components was assessed using the
Feasibility of Intervention Measure (FIM),[<xref rid="R20" ref-type="bibr">20</xref>] which includes four-items: <italic toggle="yes">&#x0201c;[Intervention] seems
implementable&#x0201d;, &#x0201c;[Intervention] seems possible&#x0201d;,
&#x0201c;[Intervention] seems doable&#x0201d;, &#x0201c;[Intervention] seems
easy to use&#x0201d;</italic>. Responses were measured on a 5-point Likert
response scale ranging from 1 = Completely disagree to 5 = Completely agree.
Items were used as a scale and responses to the 4 statements were averaged to
obtain the mean FIM scale score for each intervention component.</p><p id="P21">The perceived role of providers as vaccine advocates was assessed using
the Motors of Vaccination Advocacy (MovAd) scale,[<xref rid="R21" ref-type="bibr">21</xref>] which comprises a total of 11 items organized
within 4 sub-domains: Knowledge (3 items), Value (3 items), Autonomy (2 items),
and Impact (3 items). Responses were measured on a 7-point Likert scale, ranging
from strongly disagree to strongly agree. Sub-scale scores were generated by
averaging the responses to items belonging to each sub-scale. Full scale scores
were generated by averaging the responses to all 11 items.</p></sec><sec id="S13"><title>Data sources and measurement:</title><p id="P22">Survey data were collected through an online survey platform
(REDCap).[<xref rid="R22" ref-type="bibr">22</xref>, <xref rid="R23" ref-type="bibr">23</xref>] Participants who clicked on the survey link to
opt in were presented with an implied consent script summarizing study details
and directed to a brief eligibility screener. Eligible participants were allowed
to proceed to the survey. All questions in the survey were voluntary.</p></sec><sec id="S14"><title>Bias:</title><p id="P23">We mitigated desirability bias by allowing participants to
self-administer the survey online and by not collecting identifying information
that was associated with survey responses. We mitigated selection bias by
distributing the survey to multiple national prenatal provider organizations and
including diverse prenatal provider types.</p></sec><sec id="S15"><title>Study size:</title><p id="P24">Due to the descriptive nature of the survey, the sample size was based
on a purposive sampling estimate of 1000 responses across multiple provider
organizations.</p></sec><sec id="S16"><title>Evaluation of eligibility and data validity:</title><p id="P25">Since the survey was published online and open to the public, we
evaluated eligibility and validity of responses prior to analysis. The final
analytic dataset excluded responses from participants who: <list list-type="bullet" id="L4"><list-item><p id="P26">Did not meet eligibility criteria.</p></list-item><list-item><p id="P27">Did not submit the survey prior to close of data
collection.</p></list-item><list-item><p id="P28">Were assessed to be invalid (e.g., surveys with identical
timestamps and timestamps indicating survey responses were submitted
within 1 second, or open-ended text responses in a foreign language,
using canned text, or duplicated throughout; see: <xref rid="SD1" ref-type="supplementary-material">Supplementary File 2</xref>
for details).</p></list-item></list></p></sec><sec id="S17"><title>Statistical methods:</title><p id="P29">Survey data were analyzed using SAS/STAT statistical software, version
9.4 of the SAS System for Windows (SAS Institute Inc). Sensitivity analyses were
conducted to compare characteristics of included versus excluded participants.
Providers&#x02019; perceived role as a vaccine advocate, childhood vaccination
training needs, intervention feasibility as well as implementation factors were
analyzed descriptively and by provider type. Continuous variables related to
provider and practice characteristics (e.g., age, practice size) were summarized
using means and standard deviations. Categorical variables (e.g., ethnicity,
race) were described with frequencies and percentages. Due to the descriptive
nature of the study, missing data were excluded from analysis. Since the survey
questions were optional, the number of missing responses varied for every
question. Missing values are reported in the table. Denominators used for
calculation of percentages are reported in each table or figure.</p></sec><sec id="S18"><title>Data visualizations:</title><p id="P30">Likert scale responses were visualized as diverging stacked bar charts
that were generated utilizing Microsoft Excel. Diverging stacked bar charts were
organized so that all related scale questions were aligned on a central value;
for this analysis all categorically &#x02018;neutral&#x02019; responses across
scale questions were represented as non-positive responses, to allow viewers to
visualize what percentage of respondents had positive reactions to the
corresponding statement. For instance, for the MovAd scale, percent agreement is
the reported summation of &#x0201c;somewhat agree&#x0201d;, &#x0201c;agree&#x0201d;
and &#x0201c;strongly agree&#x0201d; from a 7-point Likert scale response and
displayed to the right of the 0% line on the figure, and &#x0201c;strongly
disagree&#x0201d;, &#x0201c;disagree&#x0201d;, &#x0201c;somewhat disagree&#x0201d;,
and neutral are displayed to the left of the 0% in the figure. Similarly, for
FIM scale items percent agreement shows the summation of &#x0201c;agree&#x0201d;
and &#x0201c;completely agree&#x0201d; from a 5 point-Likert scale, displayed to
the right of the 0% line on the figure. For the figure showing implementation
facilitators, &#x0201c;% important&#x0201d; is the summation of responses to
statements that a facilitating factor is &#x0201c;important&#x0201d; and
&#x0201c;extremely important&#x0201d;. For the figure showing implementation
challenges, &#x0201c;% challenging&#x0201d; represents the summation of responses
to statements that a given factor is &#x0201c;challenging&#x0201d; or
&#x0201c;extremely challenging&#x0201d;.</p></sec></sec><sec id="S19"><title>RESULTS</title><p id="P31">In total, 1677 survey responses were received, and the total response rate
was 2.5% based on estimated combined membership of ACOG and ACNM (n=66,500). Data
from 495 respondents were included in the final analytic dataset after evaluation of
eligibility and data validity (see: <xref rid="F1" ref-type="fig">Figure 1</xref>).
Data from 1,182 records were assessed as invalid. A sensitivity analysis was
conducted comparing provider and practice characteristics between included and
excluded records. A higher proportion of excluded records corresponded to the first
or second response options presented for each question as compared to included
records, indicating higher likelihood that excluded responses from this step were
from entities skimming the survey (<xref rid="SD2" ref-type="supplementary-material">Supplementary Table 3</xref> of <xref rid="SD2" ref-type="supplementary-material">Supplementary File 1</xref>).</p><p id="P32"><xref rid="T1" ref-type="table">Table 1</xref> summarizes practice
characteristics, provider characteristics, and provider behaviors among those who
were included in the analysis. Of the providers electing to provide demographic
information, just over half were between the ages of 31-40 years (n=253, 51.1%), and
a little over half were female (n=282, 57.0%). Three-fourths were non-Hispanic or
Latino or Spanish origin (n=379, 76.6%). The two most frequently reported racial
groups among providers were White (n=313, 63.2%) and Black or African American
(n=62, 12.5%). Certified nurse-midwives, certified midwives, and certified
professional midwives comprised the largest provider group (n=186, 37.6%) followed
by nurse practitioners and physician assistants (PA) (n=89, 18.0%). Including years
spent in residency, most providers had worked in prenatal care for 2-10 years
(n=298, 60.2%). Slightly more providers worked in a practice in an urban (n=253,
51.1%) rather than rural setting. There were similar numbers of providers from the
different US Department of Health and Human Service (HHS) regions; the largest
region represented in this sample was HHS region 4, which includes Alabama, Florida,
Georgia, Kentucky, Mississippi, North Carolina, South Carolina, and Tennessee (n=78,
15.8%).</p><p id="P33">Most providers reported that their practice focused on obstetrics only or
obstetrics and gynecology (n=265, 53.5%), and a majority served high risk patients
(n=386, 78.0%). There were similar numbers of providers practicing in federally
qualified health centers, community health clinics, academic medical centers, and
private practice. A little over one third of the providers reported working in a
practice of 3-10 providers (n=166, 33.5%) and saw an average of more than 20
patients who were pregnant per week (n=179, 36.2%). When asked about their
perceptions of vaccine hesitancy of patients compared to the rest of their state,
about half of providers reported hesitancy at their clinic to be &#x02018;about
average&#x02019; (n=200, 40.4%).</p><p id="P34"><xref rid="F2" ref-type="fig">Figure 2</xref> shows practice policies
regarding vaccination, a provider&#x02019;s own vaccination status, practice policies
for vaccination during pregnancy, and patterns of recommending vaccinations in
general and specifically to pregnant people. A majority of providers reported
vaccine mandates for employees at their practice (n=381, 90.9%). Among providers
reporting their own vaccination status, a vast majority had completed the initial
series of COVID-19 vaccines, and influenza vaccine for the 2021-22 season (n=406,
97.8%; n=401, 97.1%, respectively), while slightly fewer had received the COVID-19
booster dose (n=381, 92.1%). Overall, n=311 (62.8%) reported recommending vaccines
to patients most of the time (51-90% of the time, n=121, 24.4%) or routinely
(91-100% of the time, n=190, 38.4%). When probed about recommendations for specific
vaccines, only about half of the providers reported recommending influenza vaccine
or the Tdap vaccine during pregnancy (n=244, 49.3%; n=227, 45.9%, respectively), and
fewer recommended COVID-19 vaccine during pregnancy (n=210, 42.4%). Seventy percent
of the providers reported practice policies that excluded unvaccinated patients
(n=292, 69.7%). (Data not shown)</p><p id="P35">Findings on providers&#x02019; perceived role as a vaccine advocate measured
using the MovAd scale are displayed in <xref rid="F3" ref-type="fig">Figure
3</xref>. Notably, over half of participants reported agreement with all but one
statements (percent agreement ranging from 46.7% - 65.1%). When assessing sub-scale
scores, Autonomy and Value scored highest, followed closely by Knowledge and Impact.
Sub-scale item on Value <italic toggle="yes">&#x0201c;Vaccination is an important topic I want to
discuss with others&#x0201d;</italic> had the highest percent agreement among
providers. The lowest percent agreement among providers was for the statement from
the sub-scale item on Impact <italic toggle="yes">&#x0201c;If I discuss vaccination, it will very
much change views on this topic&#x0201d;</italic>.</p><p id="P36">Providers were asked to assess their confidence in topics about childhood
vaccines and to indicate preferences around mode, duration, and frequency of
training sessions (data not shown). Providers were least confident, defined as a
rating of 1 or 2 on a 5-point Likert scale of confidence, on details of the
development processes for childhood vaccines (n=190, 38.4%), information about
childhood vaccine ingredients (n=180, 36.4%), and how childhood vaccine
recommendations are developed (n=173, 34.9%). When asked about preferred training
mode, in-person presentation was the most preferred mode for a majority of providers
(n=328, 66.2%), followed by recorded webinar or video (n=67, 13.5%). Roughly half of
providers indicated 60 minutes as the most acceptable duration for each training
session, with slightly higher numbers if continuing medical education (CME) credits
were not provided (CME provided: n=218, 44.0%; CME not provided: n=268, 54.1%). Half
of providers indicated they would attend the trainings even if they had to pay for
them (n=231, 46.7%). For a four-session training program, the most preferred
frequencies were four sessions offered once a week (n=131, 26.5%), and four sessions
offered once every month (n=117, 23.6%).</p><p id="P37">Participants&#x02019; responses regarding intervention feasibility are
presented in <xref rid="F4" ref-type="fig">Figure 4</xref>. These results show a
high proportion of agreement, which includes &#x02018;Agree&#x02019; and
&#x02018;Completely Agree&#x02019; on feasibility of all three proposed intervention
components. Of the three proposed intervention components, providers reported
highest percent agreement on the feasibility of the educational website, followed by
the provider recommendation and vaccine navigator components. Across these
questions, we observed neutral responses (neither agree nor disagree) from 16-28% of
respondents.</p><p id="P38"><xref rid="F5" ref-type="fig">Figures 5</xref> &#x00026; <xref rid="F6" ref-type="fig">6</xref> display key perceived facilitators and challenges to
implementation. The most important perceived facilitator among prenatal providers
were educational materials or resources on childhood vaccinations for patients
(n=250, 57.7% important). There was very little variability between the other 6
presented facilitating factors, and half of providers indicated all were of similar
importance (% importance variation: 48.3% - 51.4%). Among the subset of providers
who also saw children (n=36, 7.2%), quality improvement goals to increase childhood
vaccinations were identified as an important facilitating factor (n=20, 55.6%). The
top perceived challenges identified by providers include availability of staff
resources, availability of time during appointment, and adequate training on
childhood vaccines (% challenging: n=208 (48.0%), n= 207(47.8%), n= 197 (45.4%),
respectively).</p></sec><sec id="S20"><title>DISCUSSION</title><p id="P39">The findings of this study inform the implementation of a multicomponent
prenatal intervention to promote the importance of vaccinations recommended for
children after birth. In addition, findings provide information for relevant
professional organizations and policy makers on knowledge, attitudes, beliefs and
behaviors of prenatal providers regarding vaccination recommendations for children
and during pregnancy. Study findings may be used to inform quality improvement goals
and programs related to vaccination promotion.</p><p id="P40">The first major finding of this study was the large disparity between
provider vaccine behavior and provider vaccination recommendations during pregnancy.
The large gap between providers&#x02019; behavior could be related to their perceived
impact as a vaccine advocate, and in part to variations in practice policies
mandating vaccines for employees versus patients. While the proposed multicomponent
intervention promotes importance of early childhood vaccinations, there may be an
opportunity to couple childhood vaccination recommendations with maternal
vaccination recommendations during pregnancy. In a prior study, we reported that
only 67% of participants who were pregnant from one of the implementation settings
planned to vaccinate their child with all recommended vaccines, and fewer (35%)
planned to get the COVID-19 vaccine for their child after birth.[<xref rid="R32" ref-type="bibr">32</xref>] These data reiterate the significance of intervening
during pregnancy to promote the importance of maternal and childhood vaccinations.
Strengthening provider capacity to make a strong recommendation in favor of
vaccination remains a critical need in this population. Our survey only asked about
childhood vaccination training needs. The most highlighted topics pertained to
vaccine development, testing, and recommendations, and less about the diseases being
prevented by vaccines, suggesting the need to bolster provider capacity to answer
questions about the how vaccines are developed, tested, and recommended.</p><p id="P41">The second major finding was the high feasibility of the proposed
intervention components. When asked about intervention feasibility, providers
reported the most feasible component to be the educational website, followed closely
by provider recommendation and vaccine navigator. The degree of feasibility of
intervention components may be associated with resource and time availability, as
the website potentially requires the least resources and the navigator the most.
Healthcare providers consistently rank as the most trusted resource on vaccine
information in studies with parents.[<xref rid="R24" ref-type="bibr">24</xref>]
Nevertheless, there are data to suggest that, compared to non-vaccine hesitant
parents, those who are vaccine-hesitant may have lower trust in health
providers.[<xref rid="R25" ref-type="bibr">25</xref>, <xref rid="R26" ref-type="bibr">26</xref>] Not surprisingly, pediatric providers report spending
5-30 more minutes per appointment,[<xref rid="R27" ref-type="bibr">27</xref>, <xref rid="R28" ref-type="bibr">28</xref>] sometimes over a period of several
months,[<xref rid="R28" ref-type="bibr">28</xref>] when counseling
vaccine-hesitant parents. This additional time spent on vaccine counseling often
conflicts with providers&#x02019; schedule and may come at the cost of other
preventive health services that need to be completed at each visit, leading to
provider frustration.[<xref rid="R28" ref-type="bibr">28</xref>, <xref rid="R29" ref-type="bibr">29</xref>] Yet, interventions that use provider-independent
strategies to mitigate vaccine hesitancy have limited effectiveness.[<xref rid="R30" ref-type="bibr">30</xref>, <xref rid="R31" ref-type="bibr">31</xref>] Further
research is needed to understand how to effectively leverage the provider-patient
relationship in primary care settings to mitigate vaccine hesitancy, while
minimizing the burden on provider time. This is particularly important in the
context of prenatal care where the providers face the dual burden of caring for the
patient who is pregnant and the unborn baby. One strategy to facilitate
prioritization of vaccine discussions may be to compensate providers for vaccine
counseling, even if they do not administer the vaccine at the visit.</p><p id="P42">The third major finding was the identification of specific perceived
barriers and facilitators of intervention implementation in routine prenatal
settings. The facilitators identified in our study included providing educational
materials and resources on early childhood vaccinations for patients. Coupled with
the reported feasibility of the educational website, these results strengthen
evidence toward the utility of the proposed intervention. With these facilitating
factors, three main challenges emerged: availability of staff resources, adequate
training on childhood vaccines, and availability of time during the appointment.
Notably, over half of providers did not identify these or other factors as
challenges to implementation, suggesting opportunity rather than barriers toward
implementing the intervention.</p><sec id="S21"><title>Strengths and Limitations</title><p id="P43">Study strengths are the inclusion of a diverse range of provider types,
representation of diverse prenatal practice types, practices from rural and
urban settings, and the national scope for recruitment. Study limitations
include the low response rate and non-probability-based sampling strategy, due
to which findings have limited external validity. While we sampled prenatal
providers nationally, the results are not representative of the prenatal
provider population in the United States. In addition, on questions related to
vaccination behaviors, providers self-reported their vaccination status. While
we tried to mitigate desirability bias by allowing self-administration of the
survey and not linking responses with identifying information, its impact on
responses cannot be fully ruled out. Since the survey was available to all
individuals online, duplicate responses with assessed spurious data had to be
screened and removed from the data analyzed. In interpreting likert scale
results, neutral responses were categorized as &#x02018;negative&#x02019; for the
purposes of interpretation and figures.</p></sec><sec id="S22"><title>Conclusions and future work</title><p id="P44">Study findings suggest that it will be feasible to implement the
proposed multicomponent intervention to promote the importance of childhood
vaccinations in prenatal settings. Study findings also suggest discordance in
providers&#x02019; own vaccination behaviors and their vaccination recommendation
during pregnancy, identifying an area for future intervention to strengthen
maternal vaccination recommendation. The feasibility and effectiveness of the
proposed multicomponent intervention will be evaluated as part of a trial[<xref rid="R33" ref-type="bibr">33</xref>] funded under cooperative agreement
(U01IP001200) with the CDC, and the results will be reported in a future
manuscript.</p></sec></sec><sec sec-type="supplementary-material" id="SM1"><title>Supplementary Material</title><supplementary-material id="SD1" position="float" content-type="local-data"><label>Updated Data S2</label><media xlink:href="NIHMS2030705-supplement-Updated_Data_S2.docx" id="d67e500" position="anchor"/></supplementary-material><supplementary-material id="SD2" position="float" content-type="local-data"><label>Updated Data S1</label><media xlink:href="NIHMS2030705-supplement-Updated_Data_S1.docx" id="d67e503" position="anchor"/></supplementary-material></sec></body><back><ack id="S23"><title>Acknowledgements</title><p id="P45">The study team is grateful to the prenatal providers who responded to the
survey. The study team is also grateful to Pedro Gomez Altamirano (Duke University),
Angel Gonzalez (Duke University) for project administration support, and to Sarah
Carroll (ACOG), and the ACNM communications team fo support during survey
implementation.</p><sec id="S24"><title>Funding:</title><p id="P46">The research presented in this publication was supported by a
cooperative agreement (U01IP001200) with the Centers for Disease Control and
Prevention. The development of the ADEPT intervention was supported by funding
from the National Center for Advancing Translational Sciences of the National
Institutes of Health under award number KL2TR002554. The content is solely the
responsibility of the authors and does not necessarily represent the official
views of the Centers for Disease Control and Prevention, the National Institutes
of Health, or any organizations affiliated with the members of the EAB. The
Centers for Disease Control and Prevention provided input on the study design,
interpretation of data, manuscript preparation, and the decision to submit the
manuscript for publication, but was not directly involved in data collection and
analysis.</p></sec><sec sec-type="COI-statement" id="S25"><title>Conflicts of interest</title><p id="P47">LLZ has served as a consultant to Novartis, although unrelated to this
work.</p><p id="P48">EBW has received support from Pfizer, Moderna, Seqirus, Najit
Technologies and Clinetic as an investigator for clinical trials or studies. He
has served as an advisor to Pfizer and Vaxcyte, consultant to Iliad
Biotechnologies and as a member of a data safety monitoring board for
Shionogi.</p><p id="P49">WAO is a paid consultant for Sanofi, Moderna, and Merck, although
unrelated to this work.</p><p id="P50">GKS serves as a consultant for GlaxoSmithKline, Pfizer, Sanofi, and
Moderna and as a co-author/contributor to Medscape and UpToDate.</p><p id="P51">All other authors have no conflicts relevant to this publication.</p></sec></ack><fn-group><fn id="FN2"><p id="P81">CRediT Statement</p><p id="P82">Lavanya Vasudevan: Conceptualization, Funding acquisition, Methodology,
Validation, Supervision, Writing &#x02013; Original Draft, Writing &#x02013;
Review and Editing</p><p id="P83">Rachael M. Porter: Visualization, Validation, Writing &#x02013; Original
Draft, Writing &#x02013; Review and Editing</p><p id="P84">Sandra S. Stinnett: Formal analysis, Validation, Writing &#x02013; Review
and Editing</p><p id="P85">Lauren Hart: Methodology, Project Administration, Software, Validation,
Writing &#x02013; Review and Editing</p><p id="P86">Elizabeth L. Turner: Methodology, Writing &#x02013; Review and
Editing</p><p id="P87">Leah L. Zullig: Methodology, Writing &#x02013; Review and Editing</p><p id="P88">Tara M. Vogt: Methodology, Writing &#x02013; Review and Editing</p><p id="P89">Geeta K. Swamy: Methodology, Writing &#x02013; Review and Editing</p><p id="P90">Emmanuel B. Walter: Methodology, Writing &#x02013; Review and Editing</p><p id="P91">Robert A. Bednarczyk: Methodology, Writing &#x02013; Review and
Editing</p><p id="P92">Walter A. Orenstein: Methodology, Writing &#x02013; Review and
Editing</p><p id="P93">Beverly Gray: Methodology, Writing &#x02013; Review and Editing</p><p id="P94">EAB members: Methodology, Project Administration, Writing &#x02013;
Review and Editing</p></fn></fn-group><app-group><app id="APP1"><title>ADEPT study External Advisory Board (EAB)</title><p id="P52">The ADEPT study External Advisory Board (EAB) includes the following
members in alphabetical order of last name:</p><p id="P53">Jennifer Buckley, MD, FAAFP</p><p id="P54">Member</p><p id="P55">American Academy of Family Physicians</p><p id="P56">Karen Jefferson DM, CM, FACNM</p><p id="P57">Director, Professional Practice and Policy</p><p id="P58">American College of Nurse-Midwives</p><p id="P59">Naima Joseph, MD, MPH</p><p id="P60">Vice Chair, Infectious Disease Expert Work Group, Society for Maternal
Feal Medicine</p><p id="P61">Assistant Professor, Division of Maternal Fetal Medicine, Department of
Obstetrics and Gynecology, Boston University/Boston Medical Center</p><p id="P62">Jenny Myers, MPH</p><p id="P63">Continuous Improvement and Data Analytics Unit Manager</p><p id="P64">North Carolina Department of Health and Human Services</p><p id="P65">Division of Public Health</p><p id="P66">Immunization Branch</p><p id="P67">Ebony Tate, MSN, CNM, CPHN</p><p id="P68">Statewide Maternal Health Nurse Consultant</p><p id="P69">North Carolina Department of Health and Human Services</p><p id="P70">Division of Public Health</p><p id="P71">Women, Infant, and Community Wellness Section</p><p id="P72">J. Martin Tucker, MD</p><p id="P73">Professor and Chair</p><p id="P74">Department of Obstetrics and Gynecology</p><p id="P75">University of Mississippi Medical Center</p><p id="P76">Past President</p><p id="P77">American College of Obstetricians and Gynecologists</p><p id="P78">Sylvia Yeh, MD</p><p id="P79">Member</p><p id="P80">American Academy of Pediatrics</p></app></app-group><ref-list><title>REFERENCES</title><ref id="R1"><label>[1]</label><mixed-citation publication-type="journal"><name><surname>Nguyen</surname><given-names>KH</given-names></name>, <name><surname>Zhao</surname><given-names>R</given-names></name>, <name><surname>Mullins</surname><given-names>C</given-names></name>, <name><surname>Corlin</surname><given-names>L</given-names></name>, <name><surname>Beninger</surname><given-names>P</given-names></name>, <name><surname>Bednarczyk</surname><given-names>RA</given-names></name>: <article-title>Trends in vaccination schedules and up-to-date status of
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survey, USA, April-June 2022. Several observations met exclusion by more than 1
flag, summation of flags 1-4 greater than unique number of exclusions,
n=1182.</p></caption><graphic xlink:href="nihms-2030705-f0001" position="float"/></fig><fig position="float" id="F2"><label>Figure 2:</label><caption><p id="P96">Provider vaccine uptake behaviors, practice policies, and routine
provider recommendations during pregnancy; among national sample of prenatal
providers, April-June, 2022 (n=495)</p></caption><graphic xlink:href="nihms-2030705-f0002" position="float"/></fig><fig position="float" id="F3"><label>Figure 3:</label><caption><p id="P97">Motors of Vaccination Advocacy (MovAd) Scale, Amongst a National Sample
of Prenatal Providers, April &#x02013; June, 2022 (n = 495).</p></caption><graphic xlink:href="nihms-2030705-f0003" position="float"/></fig><fig position="float" id="F4"><label>Figure 4:</label><caption><p id="P98">Intervention Feasibility by Component, Among national sample of prenatal
providers, April &#x02013; June, 2022 (n = 495).</p></caption><graphic xlink:href="nihms-2030705-f0004" position="float"/></fig><fig position="float" id="F5"><label>Figure 5:</label><caption><p id="P99">Perceived factors that facilitate implementation of ADEPT intervention,
among a national sample of prenatal providers, April-June 2022 (n=495)</p></caption><graphic xlink:href="nihms-2030705-f0005" position="float"/></fig><fig position="float" id="F6"><label>Figure 6:</label><caption><p id="P100">Perceived Challenges to Implementation of ADEPT Intervention, among
national sample of prenatal providers, April &#x02013; June 2022 (n = 495).</p></caption><graphic xlink:href="nihms-2030705-f0006" position="float"/></fig><table-wrap position="float" id="T1"><label>Table 1.</label><caption><p id="P101">Provider and Practice Characteristics of Participants of National
Survey of Prenatal Providers, April &#x02013; June, 2022 (n=495)</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"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th colspan="3" align="left" valign="top" rowspan="1">Provider Characteristics</th><th colspan="3" align="left" valign="top" rowspan="1">Practice Characteristics</th></tr><tr><th colspan="6" align="left" valign="top" rowspan="1">
<hr/>
</th></tr><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th align="left" valign="top" rowspan="1" colspan="1">N</th><th align="left" valign="top" rowspan="1" colspan="1">col %</th><th align="left" valign="top" rowspan="1" colspan="1"/><th align="left" valign="top" rowspan="1" colspan="1">N</th><th align="left" valign="top" rowspan="1" colspan="1">col %</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Total</td><td align="left" valign="top" rowspan="1" colspan="1">495</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Total</td><td align="left" valign="top" rowspan="1" colspan="1">495</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Age (categorical)</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Practice location</bold>
<sup>
<xref rid="TFN1" ref-type="table-fn">1</xref>
</sup>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">18-30 years</td><td align="left" valign="top" rowspan="1" colspan="1">25</td><td align="left" valign="top" rowspan="1" colspan="1">5.0</td><td align="left" valign="top" rowspan="1" colspan="1">Rural</td><td align="left" valign="top" rowspan="1" colspan="1">163</td><td align="left" valign="top" rowspan="1" colspan="1">32.9</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">31-40 years</td><td align="left" valign="top" rowspan="1" colspan="1">253</td><td align="left" valign="top" rowspan="1" colspan="1">51.1</td><td align="left" valign="top" rowspan="1" colspan="1">Urban</td><td align="left" valign="top" rowspan="1" colspan="1">253</td><td align="left" valign="top" rowspan="1" colspan="1">51.1</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">41-50 years</td><td align="left" valign="top" rowspan="1" colspan="1">78</td><td align="left" valign="top" rowspan="1" colspan="1">15.7</td><td align="left" valign="top" rowspan="1" colspan="1">Missing</td><td align="left" valign="top" rowspan="1" colspan="1">79</td><td align="left" valign="top" rowspan="1" colspan="1">16.0</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">51-60 years</td><td align="left" valign="top" rowspan="1" colspan="1">29</td><td align="left" valign="top" rowspan="1" colspan="1">5.9</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x0003e;60 years</td><td align="left" valign="top" rowspan="1" colspan="1">34</td><td align="left" valign="top" rowspan="1" colspan="1">6.9</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Health and Human Services (HHS)
Region</bold>
<sup>
<xref rid="TFN2" ref-type="table-fn">2</xref>
</sup>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Missing</td><td align="left" valign="top" rowspan="1" colspan="1">76</td><td align="left" valign="top" rowspan="1" colspan="1">15.4</td><td align="left" valign="top" rowspan="1" colspan="1">1</td><td align="left" valign="top" rowspan="1" colspan="1">47</td><td align="left" valign="top" rowspan="1" colspan="1">9.5</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">2</td><td align="left" valign="top" rowspan="1" colspan="1">32</td><td align="left" valign="top" rowspan="1" colspan="1">6.5</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Sex</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">3</td><td align="left" valign="top" rowspan="1" colspan="1">26</td><td align="left" valign="top" rowspan="1" colspan="1">5.2</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Male</td><td align="left" valign="top" rowspan="1" colspan="1">137</td><td align="left" valign="top" rowspan="1" colspan="1">27.7</td><td align="left" valign="top" rowspan="1" colspan="1">4</td><td align="left" valign="top" rowspan="1" colspan="1">78</td><td align="left" valign="top" rowspan="1" colspan="1">15.8</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Female</td><td align="left" valign="top" rowspan="1" colspan="1">282</td><td align="left" valign="top" rowspan="1" colspan="1">57.0</td><td align="left" valign="top" rowspan="1" colspan="1">5</td><td align="left" valign="top" rowspan="1" colspan="1">41</td><td align="left" valign="top" rowspan="1" colspan="1">8.3</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Missing</td><td align="left" valign="top" rowspan="1" colspan="1">76</td><td align="left" valign="top" rowspan="1" colspan="1">15.3</td><td align="left" valign="top" rowspan="1" colspan="1">6</td><td align="left" valign="top" rowspan="1" colspan="1">41</td><td align="left" valign="top" rowspan="1" colspan="1">8.3</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">7</td><td align="left" valign="top" rowspan="1" colspan="1">19</td><td align="left" valign="top" rowspan="1" colspan="1">3.8</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Race</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">8</td><td align="left" valign="top" rowspan="1" colspan="1">33</td><td align="left" valign="top" rowspan="1" colspan="1">6.7</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">American Indian or Alaska Native</td><td align="left" valign="top" rowspan="1" colspan="1">6</td><td align="left" valign="top" rowspan="1" colspan="1">1.2</td><td align="left" valign="top" rowspan="1" colspan="1">9</td><td align="left" valign="top" rowspan="1" colspan="1">55</td><td align="left" valign="top" rowspan="1" colspan="1">11.1</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Asian</td><td align="left" valign="top" rowspan="1" colspan="1">34</td><td align="left" valign="top" rowspan="1" colspan="1">6.9</td><td align="left" valign="top" rowspan="1" colspan="1">10</td><td align="left" valign="top" rowspan="1" colspan="1">22</td><td align="left" valign="top" rowspan="1" colspan="1">4.4</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Black or African American</td><td align="left" valign="top" rowspan="1" colspan="1">62</td><td align="left" valign="top" rowspan="1" colspan="1">12.5</td><td align="left" valign="top" rowspan="1" colspan="1">Missing</td><td align="left" valign="top" rowspan="1" colspan="1">101</td><td align="left" valign="top" rowspan="1" colspan="1">20.4</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Native Hawaiian or Pacific Islander</td><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" rowspan="1" colspan="1">0.0</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">White</td><td align="left" valign="top" rowspan="1" colspan="1">313</td><td align="left" valign="top" rowspan="1" colspan="1">63.2</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Practice Type</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Multi-racial</td><td align="left" valign="top" rowspan="1" colspan="1">5</td><td align="left" valign="top" rowspan="1" colspan="1">1.0</td><td align="left" valign="top" rowspan="1" colspan="1">Obstetrics and gynecology</td><td align="left" valign="top" rowspan="1" colspan="1">163</td><td align="left" valign="top" rowspan="1" colspan="1">32.9</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Missing</td><td align="left" valign="top" rowspan="1" colspan="1">75</td><td align="left" valign="top" rowspan="1" colspan="1">15.2</td><td align="left" valign="top" rowspan="1" colspan="1">Obstetrics only</td><td align="left" valign="top" rowspan="1" colspan="1">102</td><td align="left" valign="top" rowspan="1" colspan="1">20.6</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Midwifery</td><td align="left" valign="top" rowspan="1" colspan="1">142</td><td align="left" valign="top" rowspan="1" colspan="1">28.7</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Ethnicity</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="bottom" rowspan="1" colspan="1">Family medicine or general practice</td><td align="left" valign="bottom" rowspan="1" colspan="1">8</td><td align="left" valign="bottom" rowspan="1" colspan="1">1.6</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Hispanic or Latino</td><td align="left" valign="top" rowspan="1" colspan="1">30</td><td align="left" valign="top" rowspan="1" colspan="1">6.1</td><td align="left" valign="top" rowspan="1" colspan="1">Other</td><td align="left" valign="top" rowspan="1" colspan="1">2</td><td align="left" valign="top" rowspan="1" colspan="1">0.5</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Not Hispanic or Latino</td><td align="left" valign="top" rowspan="1" colspan="1">379</td><td align="left" valign="top" rowspan="1" colspan="1">76.6</td><td align="left" valign="top" rowspan="1" colspan="1">Missing</td><td align="left" valign="top" rowspan="1" colspan="1">78</td><td align="left" valign="top" rowspan="1" colspan="1">15.7</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Prefer not to answer</td><td align="left" valign="top" rowspan="1" colspan="1">9</td><td align="left" valign="top" rowspan="1" colspan="1">1.8</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Missing</td><td align="left" valign="top" rowspan="1" colspan="1">77</td><td align="left" valign="top" rowspan="1" colspan="1">15.6</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Practice designation</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Federal qualified health center</td><td align="left" valign="top" rowspan="1" colspan="1">92</td><td align="left" valign="top" rowspan="1" colspan="1">18.6</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Provider type</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Community health clinic</td><td align="left" valign="top" rowspan="1" colspan="1">96</td><td align="left" valign="top" rowspan="1" colspan="1">19.4</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">OB/GYN</td><td align="left" valign="top" rowspan="1" colspan="1">85</td><td align="left" valign="top" rowspan="1" colspan="1">17.1</td><td align="left" valign="top" rowspan="1" colspan="1">Academic medical center</td><td align="left" valign="top" rowspan="1" colspan="1">104</td><td align="left" valign="top" rowspan="1" colspan="1">21.0</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Family physician</td><td align="left" valign="top" rowspan="1" colspan="1">59</td><td align="left" valign="top" rowspan="1" colspan="1">11.9</td><td align="left" valign="top" rowspan="1" colspan="1">Private practice</td><td align="left" valign="top" rowspan="1" colspan="1">110</td><td align="left" valign="top" rowspan="1" colspan="1">22.2</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Nurse practitioner</td><td align="left" valign="top" rowspan="1" colspan="1">39</td><td align="left" valign="top" rowspan="1" colspan="1">7.9</td><td align="left" valign="top" rowspan="1" colspan="1">Other</td><td align="left" valign="top" rowspan="1" colspan="1">17</td><td align="left" valign="top" rowspan="1" colspan="1">3.4</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Physician Assistant</td><td align="left" valign="top" rowspan="1" colspan="1">50</td><td align="left" valign="top" rowspan="1" colspan="1">10.1</td><td align="left" valign="top" rowspan="1" colspan="1">Missing</td><td align="left" valign="top" rowspan="1" colspan="1">76</td><td align="left" valign="top" rowspan="1" colspan="1">15.4</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Certified nurse-midwife/certified midwife</td><td align="left" valign="top" rowspan="1" colspan="1">148</td><td align="left" valign="top" rowspan="1" colspan="1">29.9</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Direct-entry midwife or certified professional
midwife</td><td align="left" valign="top" rowspan="1" colspan="1">38</td><td align="left" valign="top" rowspan="1" colspan="1">7.7</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>High Risk Patient Population</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Missing</td><td align="left" valign="top" rowspan="1" colspan="1">76</td><td align="left" valign="top" rowspan="1" colspan="1">15.4</td><td align="left" valign="top" rowspan="1" colspan="1">No</td><td align="left" valign="top" rowspan="1" colspan="1">32</td><td align="left" valign="top" rowspan="1" colspan="1">6.4</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Yes</td><td align="left" valign="top" rowspan="1" colspan="1">386</td><td align="left" valign="top" rowspan="1" colspan="1">78.0</td></tr><tr><td colspan="3" align="left" valign="top" rowspan="1">
<bold>Years of practical
experience</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">Missing</td><td align="left" valign="top" rowspan="1" colspan="1">77</td><td align="left" valign="top" rowspan="1" colspan="1">15.6</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Less than 2 years</td><td align="left" valign="top" rowspan="1" colspan="1">15</td><td align="left" valign="top" rowspan="1" colspan="1">3.0</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">2-10 years</td><td align="left" valign="top" rowspan="1" colspan="1">298</td><td align="left" valign="top" rowspan="1" colspan="1">60.2</td><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Practice size</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">11-20 years</td><td align="left" valign="top" rowspan="1" colspan="1">46</td><td align="left" valign="top" rowspan="1" colspan="1">9.3</td><td align="left" valign="top" rowspan="1" colspan="1">1-2 providers</td><td align="left" valign="top" rowspan="1" colspan="1">96</td><td align="left" valign="top" rowspan="1" colspan="1">19.4</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x0003e;20 years</td><td align="left" valign="top" rowspan="1" colspan="1">60</td><td align="left" valign="top" rowspan="1" colspan="1">12.1</td><td align="left" valign="top" rowspan="1" colspan="1">3-10 providers</td><td align="left" valign="top" rowspan="1" colspan="1">166</td><td align="left" valign="top" rowspan="1" colspan="1">33.5</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Missing</td><td align="left" valign="top" rowspan="1" colspan="1">76</td><td align="left" valign="top" rowspan="1" colspan="1">15.4</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003e;10 providers</td><td align="left" valign="top" rowspan="1" colspan="1">157</td><td align="left" valign="top" rowspan="1" colspan="1">31.7</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">Missing</td><td align="left" valign="top" rowspan="1" colspan="1">76</td><td align="left" valign="top" rowspan="1" colspan="1">15.4</td></tr><tr><td colspan="3" align="left" valign="top" rowspan="1">
<bold>Average number of patients
who were pregnant seen per week</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">1-5</td><td align="left" valign="top" rowspan="1" colspan="1">18</td><td align="left" valign="top" rowspan="1" colspan="1">3.6</td><td colspan="3" align="left" valign="top" rowspan="1">
<bold>Perceptions of vaccine
hesitancy of patients compared to the rest of your state</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">6-10</td><td align="left" valign="top" rowspan="1" colspan="1">105</td><td align="left" valign="top" rowspan="1" colspan="1">21.2</td><td align="left" valign="top" rowspan="1" colspan="1">Less hesitant</td><td align="left" valign="top" rowspan="1" colspan="1">119</td><td align="left" valign="top" rowspan="1" colspan="1">24.0</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">11-20</td><td align="left" valign="top" rowspan="1" colspan="1">117</td><td align="left" valign="top" rowspan="1" colspan="1">23.6</td><td align="left" valign="top" rowspan="1" colspan="1">About average</td><td align="left" valign="top" rowspan="1" colspan="1">200</td><td align="left" valign="top" rowspan="1" colspan="1">40.4</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x0003e;20</td><td align="left" valign="top" rowspan="1" colspan="1">179</td><td align="left" valign="top" rowspan="1" colspan="1">36.2</td><td align="left" valign="top" rowspan="1" colspan="1">More hesitant</td><td align="left" valign="top" rowspan="1" colspan="1">99</td><td align="left" valign="top" rowspan="1" colspan="1">20.0</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Missing</td><td align="left" valign="top" rowspan="1" colspan="1">76</td><td align="left" valign="top" rowspan="1" colspan="1">15.4</td><td align="left" valign="top" rowspan="1" colspan="1">Missing</td><td align="left" valign="top" rowspan="1" colspan="1">77</td><td align="left" valign="top" rowspan="1" colspan="1">15.6</td></tr><tr><td colspan="3" align="left" valign="top" rowspan="1">
<bold>Number of children seen per
week</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">0</td><td align="left" valign="top" rowspan="1" colspan="1">217</td><td align="left" valign="top" rowspan="1" colspan="1">43.8</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">1-5</td><td align="left" valign="top" rowspan="1" colspan="1">120</td><td align="left" valign="top" rowspan="1" colspan="1">24.2</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">6-10</td><td align="left" valign="top" rowspan="1" colspan="1">42</td><td align="left" valign="top" rowspan="1" colspan="1">8.5</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">11-20</td><td align="left" valign="top" rowspan="1" colspan="1">29</td><td align="left" valign="top" rowspan="1" colspan="1">5.9</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x0003e;20</td><td align="left" valign="top" rowspan="1" colspan="1">11</td><td align="left" valign="top" rowspan="1" colspan="1">2.2</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Missing</td><td align="left" valign="top" rowspan="1" colspan="1">76</td><td align="left" valign="top" rowspan="1" colspan="1">15.4</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr></tbody></table><table-wrap-foot><fn id="TFN1"><label>1</label><p id="P102">Urban/Rural designation was self-reported by provider by answering
the following: &#x0201c;How would you describe your practice
location?&#x0201d;</p></fn><fn id="TFN2"><label>2</label><p id="P103">The USA is divided into 10 administrative regions for use by
several agencies, including the US Department of Health and Human Services
(HHS), the US Centers for Disease Control and Prevention (CDC), and the
Federal Emergency Management Agency (FEMA). States are grouped together
based on similar geography and are standardized for federal reporting.</p></fn></table-wrap-foot></table-wrap></floats-group></article>