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<article article-type="brief-report" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pediatr.</journal-id>
<journal-title>Frontiers in Pediatrics</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pediatr.</abbrev-journal-title>
<issn pub-type="epub">2296-2360</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fped.2025.1614456</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pediatrics</subject>
<subj-group>
<subject>Brief Research Report</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Emergency department utilization among youth in foster care: benefits of a patient-centered medical home</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes"><name><surname>Szoko</surname><given-names>Nicholas</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/3000959/overview"/><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/></contrib>
<contrib contrib-type="author"><name><surname>Phad</surname><given-names>Allison</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/3145645/overview"/><role content-type="https://credit.niso.org/contributor-roles/resources/"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/project-administration/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Fournier</surname><given-names>Mary E.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref><role content-type="https://credit.niso.org/contributor-roles/resources/"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/supervision/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Hoganson</surname><given-names>George M.</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/supervision/"/></contrib>
<contrib contrib-type="author"><name><surname>Jonson-Reid</surname><given-names>Melissa</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/154193/overview" /><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/><role content-type="https://credit.niso.org/contributor-roles/supervision/"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/resources/"/></contrib>
</contrib-group>
<aff id="aff1"><label><sup>1</sup></label><addr-line>Department of Pediatrics</addr-line>, <institution>Division of Adolescent Medicine, Washington University School of Medicine</institution>, <addr-line>St. Louis, MO</addr-line>, <country>United States</country></aff>
<aff id="aff2"><label><sup>2</sup></label><addr-line>Department of Pediatrics</addr-line>, <institution>Division of Emergency Medicine, Washington University School of Medicine</institution>, <addr-line>St. Louis, MO</addr-line>, <country>United States</country></aff>
<aff id="aff3"><label><sup>3</sup></label><institution>Washington University Brown School of Social Work</institution>, <addr-line>St. Louis</addr-line>, <addr-line>MO</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1913080/overview">Erin R. Barnett</ext-link>, Dartmouth Hitchcock Medical Center, United States</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/331991/overview">Florin Tibu</ext-link>, &#x0218;tefan cel Mare University of Suceava, Romania</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1348174/overview">Kayoko Ito</ext-link>, Osaka Prefecture University, Japan</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Nicholas Szoko <email>nszoko@wustl.edu</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>29</day><month>08</month><year>2025</year></pub-date>
<pub-date pub-type="collection"><year>2025</year></pub-date>
<volume>13</volume><elocation-id>1614456</elocation-id>
<history>
<date date-type="received"><day>18</day><month>04</month><year>2025</year></date>
<date date-type="accepted"><day>14</day><month>08</month><year>2025</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2025 Szoko, Phad, Fournier, Hoganson and Jonson-Reid.</copyright-statement>
<copyright-year>2025</copyright-year><copyright-holder>Szoko, Phad, Fournier, Hoganson and Jonson-Reid</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract><sec><title>Background</title>
<p>Foster youth face unique medical, psychological, and social challenges, which can impact patterns of emergency department (ED) utilization. The patient-centered medical home (PCMH) offers a potential model to reduce overutilization of healthcare resources. Little work has examined relationships between PCMHs and ED utilization among foster youth.</p>
</sec><sec><title>Objectives</title>
<p>We sought to describe longitudinal trends in ED utilization among foster youth in a PCMH.</p>
</sec><sec><title>Methods</title>
<p>This retrospective cohort study leveraged electronic health record data from foster youth seen in a PCMH from 2018 to 2024. Frequency of ED utilization was calculated before, during, and after involvement in the PCMH. We used Poisson generalized linear mixed models to examine associations between each time period (before, during, or after) and the frequency of ED visits, adjusting for age, sex, and race/ethnicity. Results are presented as incidence rate ratios (IRR) with 95&#x0025; confidence intervals (95&#x0025; CI).</p>
</sec><sec><title>Results</title>
<p>Out of 857 youth, 525 (61.3&#x0025;) were female. Median age was 15.5 years (IQR: 14.2&#x2013;16.8). Most youth were Black or African American (<italic>n</italic>&#x2009;&#x003D;&#x2009;643; 75.0&#x0025;). The median number of ED visits was three (IQR: 2&#x2013;7) for the total observation period. Compared to before the PCMH, ED utilization was significantly lower during engagement with the PCMH [IRR: 0.62 (95&#x0025; CI: 0.54&#x2013;0.70)]. ED utilization increased after the last PCMH encounter [IRR: 1.12 (95&#x0025; CI: 1.01&#x2013;1.24)].</p>
</sec><sec><title>Conclusions</title>
<p>Engagement in a PCMH was associated with lower ED utilization among foster youth. Findings suggest that PCMHs may decrease healthcare costs and better support foster youths&#x2019; specific health needs.</p>
</sec>
</abstract>
<kwd-group>
<kwd>foster youth</kwd>
<kwd>health services</kwd>
<kwd>emergency department (ED) utilization</kwd>
<kwd>patient centered medical home</kwd>
<kwd>trauma informed care</kwd>
</kwd-group><counts>
<fig-count count="0"/>
<table-count count="3"/><equation-count count="0"/><ref-count count="54"/><page-count count="7"/><word-count count="0"/></counts><custom-meta-wrap><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Social Pediatrics</meta-value></custom-meta></custom-meta-wrap>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><title>Introduction</title>
<p>In 2022, over 500,000 youth were involved in foster care system nationwide (<xref ref-type="bibr" rid="B1">1</xref>). Youth in foster care experience unique health challenges, such as high mental health morbidity, foregone preventative care, and unmet sexual and reproductive health needs (<xref ref-type="bibr" rid="B2">2</xref>). These issues may be even greater for older youth (i.e., adolescents) in foster care, who face additional risks related to &#x201C;aging out&#x201D; of the system (<xref ref-type="bibr" rid="B3">3</xref>). Black youth and youth identifying as sexual and gender minorities are more likely to enter foster care (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>), disparities driven by disproportionate exposure to trauma, discrimination, and poverty (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B8">8</xref>). Thus, strategies to support youth in foster care must adopt healing-centered approaches that acknowledge these histories and provide holistic supports to buffer against negative health outcomes. Further, addressing these multi-layered health inequities requires models of care that are not only accessible, but integrative and developmentally attuned.</p>
<p>One potential model to better meet the health needs of this unique population is the patient-centered medical home (PCMH) (<xref ref-type="bibr" rid="B9">9</xref>). PCMHs, which integrate preventative and acute medical care, behavioral health, and case management services, can provide intensive medical and psychosocial supports within a unified setting (<xref ref-type="bibr" rid="B10">10</xref>). This strategy reduces key barriers in care access, such as transportation to and from appointments and coordinating visits across multiple providers, and the longitudinal nature of services facilitates trust-building with practitioners. In addition, PCMHs may decrease overutilization of healthcare resources, such as emergency department (ED) visits for non-emergent conditions (<xref ref-type="bibr" rid="B11">11</xref>), which can decrease associated healthcare costs. This is particularly relevant for youth in foster care, who, despite comprising less than 2&#x0025; of Medicaid enrollees (<xref ref-type="bibr" rid="B12">12</xref>), incur a disproportionate burden of Medicaid costs (<xref ref-type="bibr" rid="B13">13</xref>).</p>
<p>Prior research has demonstrated that youth in foster care have higher rates of hospitalization and subspecialty care, as well as greater health service costs, compared to their peers without foster system involvement (<xref ref-type="bibr" rid="B14">14</xref>). This may be due, in part, to a greater number of visits for psychiatric concerns, which account for a large proportion of health service utilization in this population (<xref ref-type="bibr" rid="B15">15</xref>). Traumatic stress may also increase somatic symptoms (e.g., pain) due to overactivation of pro-inflammatory pathways and the glucocorticoid response (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>). In addition, foster youth may experience more foregone healthcare prior to entry into the system (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>). Factors such as placement instability and insurance discontinuity may also contribute (<xref ref-type="bibr" rid="B20">20</xref>&#x2013;<xref ref-type="bibr" rid="B22">22</xref>). Data regarding ED utilization among foster youth is mixed. While past-year ED utilization may be as high as 31&#x0025; among foster youth (<xref ref-type="bibr" rid="B23">23</xref>), some evidence suggests youth in foster care are less likely to seek care for preventable medical concerns (<xref ref-type="bibr" rid="B24">24</xref>). However, studies involving mental health diagnoses consistently demonstrate increased care utilization for foster youth, which reflects the complex psychosocial challenges they encounter (<xref ref-type="bibr" rid="B25">25</xref>&#x2013;<xref ref-type="bibr" rid="B27">27</xref>). Although PCMHs may provide a mechanism to reduce healthcare costs in foster youth (<xref ref-type="bibr" rid="B28">28</xref>), studies evaluating impacts of the PCMH on ED utilization in foster youth is limited.</p>
<p>The goal of the present study was to evaluate trends in ED utilization among foster youth by leveraging electronic health record data from an academic-affiliated PCMH from 2018 to 2024. We specifically sought to examine whether 1) ED utilization decreased during the period adolescents received care through the PCMH and 2) ED utilization remained lower following their transition out of the PCMH. In doing so, we aimed to assess whether a PCMH specific to foster youth may reduce ED overutilization in this unique population.</p>
</sec>
<sec id="s2" sec-type="methods"><title>Methods</title>
<sec id="s2a"><title>Study design, sample, and data source</title>
<p>This retrospective cohort study leveraged data obtained from the electronic medical record of patients receiving care at the Creating Options and Choosing Health (COACH) clinic, a PCMH for foster youth aged 12&#x2013;25 years in St. Louis City and St. Louis County. In the state of Missouri, all youth between 12 and 17 years of age who enter foster care are required to undergo a comprehensive medical evaluation within 30 days of placement, which usually occurs at the COACH program. Foster youth who are older than age 17, including those who have aged out, remain eligible for clinic services and can be referred at any time.</p>
<p>COACH uses an interdisciplinary, team-based approach for each visit involving a nurse, physician or advanced practice provider, and a case manager. Case managers communicate regularly with patients, foster parents, and case workers to ensure access to needed medical care (e.g., subspecialty referrals), while offering connections to psychosocial resources (e.g., education, employment, housing). In addition to primary care, COACH provides free and confidential sexual and reproductive health services to all patients, as well as embedded behavioral health supports (e.g., psychiatry and therapy), housed in the same space. COACH utilizes a youth-centered approach, in which the majority of the visit occurs individually with the youth. All clinical and educational materials are designed to be youth-friendly with age-appropriate language and simplified visual aids.</p>
<p>For the present study, our cohort was identified by selecting individuals who attended a new foster care visit between the ages of 12&#x2013;25 years from January 1st, 2018 (when our clinic transitioned to the current electronic medical record) to December 31st, 2024. After identifying this cohort, we abstracted patient-level demographics and encounter-specific data as described below. This study was approved by the Washington University Institutional Review Board.</p>
</sec>
<sec id="s2b"><title>Measures</title>
<p>Demographic data included patient age at their initial visit in the foster care clinic, sex at birth, race, and ethnicity. For encounter-specific data, we utilized all outpatient and ED encounters for the patient sample between 2018 and 2024. Encounters included visit date, visit type (i.e., foster care clinic, ED, or other outpatient), and visit diagnoses. Encounter data was linked to patient-level demographics using medical record numbers. In order to assess ED utilization before, during, and after engagement with our clinic, we first defined these time periods as follows: (1) before: time from first encounter of any type to first visit with foster care clinic; (2) during: time from first visit with foster care clinic to last visit with foster care clinic; (3) after: time from last visit with foster care clinic to last encounter of any type. Individuals without any encounter data before or after their involvement in our clinic were excluded from analysis, as it was assumed that they were likely to seek ED care through another system, and therefore utilization based on censoring would be unreliable. ED utilization was calculated by determining the count of ED visits in the period before, during, and after engagement with the foster care clinic for each patient. There were 1,373 unique diagnoses across ED visits; to allow for meaningful interpretation, visit diagnoses were manually coded into illness categories by the principal investigator (NS) using a deductive approach. Subcodes within each category are presented as a supplement (<xref ref-type="sec" rid="s11">Supplementary Table S1</xref>).</p>
</sec>
<sec id="s2c"><title>Statistical analysis</title>
<p>Demographic characteristics for the entire sample were summarized with medians and interquartile ranges (IQR) and frequencies and proportions for continuous and categorical variables, respectively. ED diagnosis categories were tabulated for the overall sample and for high utilizers, defined as youth with more than 15 visits (third quartile&#x2009;&#x002B;&#x2009;1.5&#x002A;IQR) in the observation period (<xref ref-type="bibr" rid="B29">29</xref>). To assess whether ED utilization varied over the course of engagement with our clinic, we used generalized linear mixed models with Poisson distributions to examine associations between time period (before, during, or after) and the count of ED visits, with random intercepts to account for repeated measures within participants. Models included an offset (i.e., days observed for each time period) to account for differential observation times, as youth observed for longer durations would be expected to have more ED visits. Models additionally adjusted for age at initial COACH visit, sex at birth, and race/ethnicity (collapsed into a three-level categorical variable: non-Hispanic Black, non-Hispanic White, and Other). Model fit was assessed by visualizing deviance residuals. Due to the presence of several outliers in our initial model, we excluded observations (<italic>n</italic>&#x2009;&#x003D;&#x2009;86; 3.3&#x0025;) with residual values &#x003E;2. Models showed no evidence of overdispersion. Given potential changes in utilization related to COVID-19, as a sensitivity analysis, we stratified analyses based on having an initial visit before or on/after January 1st, 2020. We present incidence rate ratios (IRR) comparing ED utilization during and after engagement with COACH to ED utilization before COACH and 95&#x0025; Wald confidence intervals (CI). All analyses were conducted in R version 4.4.1.</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><title>Results</title>
<sec id="s3a"><title>Youth characteristics</title>
<p>A total of 857 youth were included in the sample (<xref ref-type="table" rid="T1">Table&#x00A0;1</xref>). Median age at initial COACH visit was 15.5 years (IQR: 14.2&#x2013;16.8). In terms of sex at birth, 525 (61.3&#x0025;) were female and 332 (38.7&#x0025;) were male. Most youth were Black or African American (<italic>n</italic>&#x2009;&#x003D;&#x2009;643; 75.0&#x0025;) or White (<italic>n</italic>&#x2009;&#x003D;&#x2009;170; 19.8&#x0025;), with fewer reporting other racial identities. Twenty-nine youth (3.4&#x0025;) were of Hispanic or Latino origin. The median number of COACH encounters was 4 (IQR: 2&#x2013;12) for youth in the sample. Out of the 857 youth seen for an initial COACH visit, most (<italic>n</italic>&#x2009;&#x003D;&#x2009;691; 80.6&#x0025;) returned for follow-up. Youth remained engaged with COACH for a median of three months (IQR: 0&#x2013;18).</p>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Demographic characteristics of sample: 2018&#x2013;2024.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Characteristic</th>
<th valign="top" align="center">Overall<break/>(<italic>n</italic>&#x2009;&#x003D;&#x2009;857)</th>
<th valign="top" align="center">Typical utilizers<break/>(<italic>n</italic>&#x2009;&#x003D;&#x2009;809)</th>
<th valign="top" align="center">High utilizers<xref ref-type="table-fn" rid="table-fn1"><sup>a</sup></xref><break/>(<italic>n</italic>&#x2009;&#x003D;&#x2009;48)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age at initial encounter: years</td>
<td valign="top" align="center">15.5 (14.2&#x2013;16.8)</td>
<td valign="top" align="center">15.4 (14.2&#x2013;16.8)</td>
<td valign="top" align="center">16.1 (14.5&#x2013;17.5)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4">Sex</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">525 (61.3&#x0025;)</td>
<td valign="top" align="center">488 (60.3&#x0025;)</td>
<td valign="top" align="center">37 (77&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">332 (38.7&#x0025;)</td>
<td valign="top" align="center">321 (39.7&#x0025;)</td>
<td valign="top" align="center">11 (23&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4">Race</td>
</tr>
<tr>
<td valign="top" align="left">American Indian or Alaska Native</td>
<td valign="top" align="center">1 (0.1&#x0025;)</td>
<td valign="top" align="center">1 (0.1&#x0025;)</td>
<td valign="top" align="center">0 (0&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Asian</td>
<td valign="top" align="center">3 (0.4&#x0025;)</td>
<td valign="top" align="center">3 (0.4&#x0025;)</td>
<td valign="top" align="center">0 (0&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Black or African American</td>
<td valign="top" align="center">643 (75.0&#x0025;)</td>
<td valign="top" align="center">597 (73.8&#x0025;)</td>
<td valign="top" align="center">46 (96&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Native Hawaiian or Other Pacific Islander</td>
<td valign="top" align="center">2 (0.3&#x0025;)</td>
<td valign="top" align="center">2 (0.2&#x0025;)</td>
<td valign="top" align="center">0 (0&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Multiracial/Other</td>
<td valign="top" align="center">18 (2.2&#x0025;)</td>
<td valign="top" align="center">18 (2.2&#x0025;)</td>
<td valign="top" align="center">0 (0&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">White</td>
<td valign="top" align="center">170 (19.8&#x0025;)</td>
<td valign="top" align="center">168 (20.8&#x0025;)</td>
<td valign="top" align="center">2 (4&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Missing/Unknown</td>
<td valign="top" align="center">20 (2.3&#x0025;)</td>
<td valign="top" align="center">20 (2.5&#x0025;)</td>
<td valign="top" align="center">0 (0&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Ethnicity: Hispanic or Latino</td>
<td valign="top" align="center">29 (3.4&#x0025;)</td>
<td valign="top" align="center">29 (3.6&#x0025;)</td>
<td valign="top" align="center">0 (0&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4">Number of COACH visits</td>
</tr>
<tr>
<td valign="top" align="left">Median per youth</td>
<td valign="top" align="center">4 (2&#x2013;12)</td>
<td valign="top" align="center">4 (2&#x2013;12)</td>
<td valign="top" align="center">4 (2&#x2013;14)</td>
</tr>
<tr>
<td valign="top" align="left">Youth with at least one return visit</td>
<td valign="top" align="center">691 (80.6&#x0025;)</td>
<td valign="top" align="center">652 (80.6&#x0025;)</td>
<td valign="top" align="center">39 (81&#x0025;)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn1"><label><sup>a</sup></label>
<p>Defined as youth with &#x003E;15 emergency department visits during observation period.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3b"><title>Emergency department visits</title>
<p>The median number of ED visits was three (IQR: 2&#x2013;7) for the observation period and one (IQR: 0&#x2013;2), zero (IQR: 0&#x2013;1), and one (IQR: 0&#x2013;3) before, during, and after COACH, respectively. Out of 3,767 total ED encounters (<xref ref-type="table" rid="T2">Table&#x00A0;2</xref>), the most common visit diagnoses were related to: infection (e.g., pneumonia, gastroenteritis, sexually transmitted infections) (<italic>n</italic>&#x2009;&#x003D;&#x2009;759; 20.1&#x0025;); psychiatric illness (e.g., suicidality, aggression, psychosis) (<italic>n</italic>&#x2009;&#x003D;&#x2009;708; 18.8&#x0025;); and injury/trauma (e.g., fractures, lacerations, motor vehicle collisions) (<italic>n</italic>&#x2009;&#x003D;&#x2009;615; 16.3&#x0025;). Visits due to chronic medical conditions (i.e., asthma, diabetes, sickle cell disease) represented a small proportion of visits (<italic>n</italic>&#x2009;&#x003D;&#x2009;157; 4.2&#x0025;). Out of 857 youth in the sample, 48 (5.6&#x0025;) were categorized as high utilizers (<xref ref-type="table" rid="T1">Table&#x00A0;1</xref>). Visit reasons were similar to those observed in the overall sample, though high utilizers had a greater proportion of visits with pain-related diagnoses (e.g., abdominal pain, chest pain, vaso-occlusive crises) (<xref ref-type="table" rid="T2">Table&#x00A0;2</xref>).</p>
<table-wrap id="T2" position="float"><label>Table 2</label>
<caption><p>Emergency department visits by diagnosis group.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Diagnosis category</th>
<th valign="top" align="center">Overall<break/>(<italic>n</italic>&#x2009;&#x003D;&#x2009;3,767)</th>
<th valign="top" align="center">Typical utilizers<break/>(<italic>n</italic>&#x2009;&#x003D;&#x2009;2,412)</th>
<th valign="top" align="center">High utilizers<break/>(<italic>n</italic>&#x2009;&#x003D;&#x2009;1,355)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Allergic reaction</td>
<td valign="top" align="center">36 (1&#x0025;)</td>
<td valign="top" align="center">30 (1.2&#x0025;)</td>
<td valign="top" align="center">6 (0.4&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Cardiovascular</td>
<td valign="top" align="center">9 (0.2&#x0025;)</td>
<td valign="top" align="center">7 (0.3&#x0025;)</td>
<td valign="top" align="center">2 (0.1&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Gastrointestinal</td>
<td valign="top" align="center">103 (2.7&#x0025;)</td>
<td valign="top" align="center">63 (2.6&#x0025;)</td>
<td valign="top" align="center">40 (3&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Genitourinary</td>
<td valign="top" align="center">121 (3.2&#x0025;)</td>
<td valign="top" align="center">66 (2.7&#x0025;)</td>
<td valign="top" align="center">55 (4.1&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Hematologic</td>
<td valign="top" align="center">6 (0.2&#x0025;)</td>
<td valign="top" align="center">3 (0.1&#x0025;)</td>
<td valign="top" align="center">3 (0.2&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Infection</td>
<td valign="top" align="center">759 (20.1&#x0025;)</td>
<td valign="top" align="center">459 (19&#x0025;)</td>
<td valign="top" align="center">297 (21.9&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Injury</td>
<td valign="top" align="center">615 (16.3&#x0025;)</td>
<td valign="top" align="center">461 (19.1&#x0025;)</td>
<td valign="top" align="center">154 (11.4&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Lab abnormality</td>
<td valign="top" align="center">4 (0.1&#x0025;)</td>
<td valign="top" align="center">4 (0.2&#x0025;)</td>
<td valign="top" align="center">40 (3&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Metabolic<xref ref-type="table-fn" rid="table-fn2"><sup>a</sup></xref></td>
<td valign="top" align="center">82 (2.2&#x0025;)</td>
<td valign="top" align="center">42 (1.7&#x0025;)</td>
<td valign="top" align="center">46 (3.4&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Neurologic</td>
<td valign="top" align="center">120 (3.2&#x0025;)</td>
<td valign="top" align="center">74 (3.1&#x0025;)</td>
<td valign="top" align="center">192 (14.2&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Pain<xref ref-type="table-fn" rid="table-fn3"><sup>b</sup></xref></td>
<td valign="top" align="center">453 (12&#x0025;)</td>
<td valign="top" align="center">264 (10.9&#x0025;)</td>
<td valign="top" align="center">52 (3.8&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Pregnancy</td>
<td valign="top" align="center">122 (3.2&#x0025;)</td>
<td valign="top" align="center">70 (2.9&#x0025;)</td>
<td valign="top" align="center">231 (17&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Psychiatric &#x0026; behavioral</td>
<td valign="top" align="center">708 (18.8&#x0025;)</td>
<td valign="top" align="center">477 (19.8&#x0025;)</td>
<td valign="top" align="center">41 (3&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Respiratory<sup>c</sup></td>
<td valign="top" align="center">107 (2.8&#x0025;)</td>
<td valign="top" align="center">66 (2.7&#x0025;)</td>
<td valign="top" align="center">14 (1&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Skin</td>
<td valign="top" align="center">41 (1.1&#x0025;)</td>
<td valign="top" align="center">27 (1.1&#x0025;)</td>
<td valign="top" align="center">47 (3.5&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Social</td>
<td valign="top" align="center">129 (3.4&#x0025;)</td>
<td valign="top" align="center">82 (3.4&#x0025;)</td>
<td valign="top" align="center">7 (0.5&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Well care</td>
<td valign="top" align="center">57 (1.5&#x0025;)</td>
<td valign="top" align="center">50 (2.1&#x0025;)</td>
<td valign="top" align="center">128 (9.4&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Left/Not seen/Unknown</td>
<td valign="top" align="center">295 (7.8&#x0025;)</td>
<td valign="top" align="center">167 (6.9&#x0025;)</td>
<td valign="top" align="center">6 (0.4&#x0025;)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn2"><label><sup>a</sup></label>
<p>Included 80 visits due to diabetes (<italic>n</italic>&#x2009;&#x003D;&#x2009;38 for high utilizers).</p></fn>
<fn id="table-fn3"><label><sup>b</sup></label>
<p>Included 14 visits due to vaso-occlusive crises (<italic>n</italic>&#x2009;&#x003D;&#x2009;13 for high utilizers).</p></fn>
<fn id="table-fn3a"><label><sup>c</sup></label>
<p>Included 63 visits due to asthma (<italic>n</italic>&#x2009;&#x003D;&#x2009;26 for high utilizers).</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3c"><title>Trends in emergency department utilization</title>
<p>Compared to before COACH, ED utilization was significantly lower during engagement with the COACH program [IRR: 0.62 (95&#x0025; CI: 0.54&#x2013;0.70)] (<xref ref-type="table" rid="T3">Table&#x00A0;3</xref>). ED utilization increased after the last encounter with COACH [IRR: 1.12 (95&#x0025; CI: 1.01&#x2013;1.24)]. In adjusted models, higher age at initial encounter [IRR: 1.03 (95&#x0025; CI: 1.00&#x2013;1.06)], female sex [IRR: 1.23 (95&#x0025; CI: 1.05&#x2013;1.42)], and non-Hispanic Black identity [IRR: 1.30 (95&#x0025; CI: 1.05&#x2013;1.61), reference: non-Hispanic White] were associated with higher ED utilization overall. Findings were consistent before and after the start of the COVID-19 pandemic with one exception&#x2014;for youth with an initial visit before the start of the pandemic, ED utilization did not significantly increase after engagement with COACH [IRR: 0.92 (95&#x0025; CI: 0.78&#x2013;1.08)].</p>
<table-wrap id="T3" position="float"><label>Table 3</label>
<caption><p>Summary of ED utilization before, during, and after involvement with COACH.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Measure</th>
<th valign="top" align="center">Before</th>
<th valign="top" align="center">During</th>
<th valign="top" align="center">After</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Number of ED visits: Median (IQR)</td>
<td valign="top" align="center">1 (0&#x2013;2)</td>
<td valign="top" align="center">0 (0&#x2013;1)</td>
<td valign="top" align="center">1 (0&#x2013;3)</td>
</tr>
<tr>
<td valign="top" align="left">Number of ED visits: Mean (SD)</td>
<td valign="top" align="center">3 (7)</td>
<td valign="top" align="center">2 (5)</td>
<td valign="top" align="center">5 (14)</td>
</tr>
<tr>
<td valign="top" align="left">Observation time (months): Median (IQR)</td>
<td valign="top" align="center">3 (0&#x2013;22)</td>
<td valign="top" align="center">3 (0&#x2013;18)</td>
<td valign="top" align="center">2 (0&#x2013;24)</td>
</tr>
<tr>
<td valign="top" align="left">Incidence rate ratio (95&#x0025; CI)</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">0.62 (0.54&#x2013;0.70)<xref ref-type="table-fn" rid="table-fn5">&#x002A;&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">1.12 (1.01&#x2013;1.24)&#x002A;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn4"><label><sup>a</sup></label>
<p>Results from generalized linear mixed models adjusted for age at initial visit, race/ethnicity, and sex at birth with random intercept for patient.</p></fn>
<fn id="table-fn5"><label>&#x002A;&#x002A;&#x002A;</label>
<p><italic>p</italic>&#x2009;&#x003C;&#x2009;0.001; &#x002A;<italic>p</italic>&#x2009;&#x003D;&#x2009;0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion"><title>Discussion</title>
<p>In this retrospective study of foster youth engaged in a PCMH, we found significant reductions in ED utilization during involvement with the program. This aligns with prior work that has shown the benefits of PCMH for individuals with medical complexity and chronic disease. By offering integrated medical and behavioral health care with intensive case management support, PCMHs may serve as a critical touchpoint for preventing foregone care or disease progression in a particularly vulnerable subgroup. As such, resultant costs associated with higher levels of care may be avoided. Consistent with prior literature, we noted a high proportion of ED visits related to behavioral health concerns, and we found that some youth were high utilizers across all time periods of the study. However, we also observed that for the entire sample, rates of ED utilization <italic>increased</italic> after leaving the PCMH, even relative to rates prior to involvement in the program.</p>
<p>This pattern may be related to the unique challenges associated with entry into young adulthood. Youth transitioning out of foster care are at high risk of housing instability, unemployment, justice system involvement, and poverty (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>). All of these factors may contribute to greater health needs and create structural barriers to medical follow-up. Indeed, youth aging out of foster care have higher rates of mental health challenges and substance use (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>), yet are less likely to engage in outpatient mental health treatment (<xref ref-type="bibr" rid="B34">34</xref>). Given this especially vulnerable period, many states have implemented policies to allow extension of foster care beyond age 18 (<xref ref-type="bibr" rid="B35">35</xref>), and numerous agencies have developed multilevel interventions aimed at supporting this subgroup (<xref ref-type="bibr" rid="B36">36</xref>). Our findings reaffirm the critical importance of caring for youth beyond their involvement in the system. Although our PCMH is open to current or former foster youth, there may be opportunities to strengthen supports for patients entering young adulthood through dedicated transition planning, continued case management support, or integration and/or co-location of adult providers. In addition, it is essential to bolster known protective factors among foster youth transitioning out of the system, such as safe and caring relationships, nonfamilial mentoring, and setting goals for the future (<xref ref-type="bibr" rid="B37">37</xref>&#x2013;<xref ref-type="bibr" rid="B39">39</xref>).</p>
<p>Similar to other studies in this population, we demonstrated that most ED visits were related to behavioral health concerns, such as suicidality and aggression. Beyond having a higher burden of mental health morbidity (<xref ref-type="bibr" rid="B40">40</xref>), youth in foster care may also be impacted by the overall shortage of pediatric mental health services globally (<xref ref-type="bibr" rid="B41">41</xref>). Prior work has demonstrated that increased age, as well as delayed receipt of mental health treatment services, may contribute to ED utilization for this purpose (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B42">42</xref>). Thus a PCMH, particularly one which includes psychiatric services and trauma-focused therapy, may be particularly well-suited to address this issue by decreasing time to entry into care. This aligns with qualitative research with foster youth and their families (<xref ref-type="bibr" rid="B43">43</xref>), where integrating mental health services with primary care was felt to be valuable. Furthermore, both longitudinal trust-building and provider continuity have been cited as key elements of ongoing service engagement, especially in preparing foster youth for the transition to adult mental health care (<xref ref-type="bibr" rid="B44">44</xref>). The PCMH offers an ideal setting for this occur when tailored to the unique developmental needs of adolescence.</p>
<p>Youth that were older, female, and non-Hispanic Black had higher ED utilization overall. However, among the 48 youth who were categorized as being high utilizers, we noted similarities in diagnostic categories, with the exception of pain. This may be due, in part, to known disparities in pain management according to racial identity, in which Black patients are less likely to receive analgesia (<xref ref-type="bibr" rid="B45">45</xref>). If pain control is inadequate, these individuals may return more frequently to seek care. Although some studies demonstrate increased ED utilization among individuals with functional pain disorders (i.e., in the setting of comorbid depression or anxiety) (<xref ref-type="bibr" rid="B46">46</xref>), Black women in particular are <italic>less</italic> likely to report these somatic symptoms than other identities (<xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B48">48</xref>), making it essential for providers to combat structural racism and interpersonal bias when providing clinical care (<xref ref-type="bibr" rid="B49">49</xref>). This is of added importance for youth with foster system involvement, where experiences of discrimination may be even more common. PCMHs offer an ideal setting to incorporate healing-centered frameworks (<xref ref-type="bibr" rid="B50">50</xref>), which acknowledge these histories and cultivate well-being through relationship-building, hope, and empowerment.</p>
<p>There are several important limitations to this work which must be considered. First, as data was limited to information extracted from the electronic medical record, we were not able to account for important sources of confounding, such as placement changes and insurance discontinuity. In addition, we only examined data within one electronic medical interface, which may miss ED encounters occurring outside of a partnering health system, or care sought in other settings (e.g., urgent care). These variables may be inherently linked; youth with greater placement instability may be more likely to seek care outside of a single health system. Importantly, PCMH models have the potential to bridge care across multiple settings. This informed eligibility for COACH, which allows youth to remain in care through age 25, regardless of ongoing involvement in the foster care system.</p>
<p>That said, because our program focuses specifically on adolescents, our findings may not be generalizable to younger children in the foster system. Involvement in COACH was not randomized, so individuals engaged in the program may systematically differ from other youth in foster care. While the racial and ethnic makeup of our PCMH mirrors known disparities in the larger foster care system (<xref ref-type="bibr" rid="B51">51</xref>), the lack of reliable sexual orientation and gender identity data in our medical record prevents us from being able to assess all aspects of identity. This is a key gap in light of known systemic inequities for youth who identify as sexual or gender minority (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). Applying an intersectional lens to future analyses is critical to better identify patterns of overutilization which can be addressed with tailored interventions (<xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B53">53</xref>). We also noted a higher prevalence of females in our sample, suggesting additional structural barriers for males, such as crossover into the juvenile justice system (<xref ref-type="bibr" rid="B54">54</xref>).</p>
<p>We did not exclude non-preventable ED visits, and it is likely that some visits related to chronic medical illness were misclassified due to primary diagnostic code (e.g., &#x201C;chest pain&#x201D; rather than &#x201C;status asthmaticus&#x201D;). Greater research is needed to examine whether decreased ED utilization rates for preventable reasons are directly linked to PCMH visits. This has important implications regarding cost effectiveness analyses, as many health problems in this population may persist into adulthood. Despite these limitations, we were able to assess care utilization in a relatively large sample without reliance on self-report, which overcomes some of the gaps in prior literature. In addition, we observed youth over a relatively long follow-up period, enabling us to track utilization patterns after leaving the PCMH.</p>
<p>Together, our findings highlight the potential for PCMH to better support the unique medical, psychological, and social needs of youth in foster care. Rather than viewing the PCMH as a cost-saving strategy alone, our findings suggest it serves as a stabilizing institution that merits continued investment, particularly during transitions to adulthood. Future work should incorporate multilevel cost effectiveness analyses to understand broader implications for health services spending. This may involve identifying the &#x201C;core components&#x201D; of a successful PCMH intervention. In addition, describing care utilization across multiple settings (e.g., inpatient, residential, other outpatient) may provide a more comprehensive picture regarding use patterns in this population. Overall, our findings underscore the importance of minimizing barriers to care access, building longitudinal relationships, and creating trustworthy clinical environments for youth in foster care to better support well-being.</p>
</sec>
</body>
<back>
<sec id="s5" sec-type="data-availability"><title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s11">Supplementary Material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s6" sec-type="ethics-statement"><title>Ethics statement</title>
<p>The studies involving humans were approved by Washington University Institutional Review Board. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants&#x2019; legal guardians/next of kin in accordance with the national legislation and institutional requirements.</p>
</sec>
<sec id="s7" sec-type="author-contributions"><title>Author contributions</title>
<p>NS: Conceptualization, Formal analysis, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing, Data curation, Investigation. AP: Resources, Investigation, Conceptualization, Project administration, Writing &#x2013; review &#x0026; editing. MF: Resources, Investigation, Methodology, Supervision, Writing &#x2013; review &#x0026; editing. GH: Investigation, Writing &#x2013; review &#x0026; editing, Conceptualization, Methodology, Supervision. MJ-R: Methodology, Writing &#x2013; review &#x0026; editing, Supervision, Investigation, Conceptualization, Resources.</p>
</sec>
<sec id="s8" sec-type="funding-information"><title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
</sec>
<sec id="s9" sec-type="COI-statement"><title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
<p>The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p>
</sec>
<sec id="s10" sec-type="ai-statement"><title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="s12" sec-type="disclaimer"><title>Publisher&#x0027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s11" sec-type="supplementary-material"><title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fped.2025.1614456/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fped.2025.1614456/full&#x0023;supplementary-material</ext-link></p>
<supplementary-material id="SD1" content-type="local-data"><label>Supplementary Table S1</label>
<caption><p>Detailed breakdown of diagnostic categories across ED visits (<italic>n</italic>&#x2009;&#x003D;&#x2009;3,767).</p></caption>
<media mimetype="application" mime-subtype="pdf" xlink:href="Table1.pdf"/></supplementary-material>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr" id="ab001"><p>ED, emergency department; PCMH, patient-centered medical home; COACH, creating options and choosing health</p></fn>
</fn-group>
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