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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2296-858X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2026.1737581</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Progress test performance of medical students admitted via the medical education preparation program</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Prihanti</surname><given-names>Gita Sekar</given-names></name>
<xref ref-type="aff" rid="aff1"></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2673713"/>
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</contrib>
<contrib contrib-type="author">
<name><surname>Fairuz Salmaa</surname><given-names>Naila</given-names></name>
<xref ref-type="aff" rid="aff1"></xref>
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</contrib-group>
<aff id="aff1"><institution>Department of Medical Education, Faculty of Medicine, Universitas Muhammadiyah Malang</institution>, <city>Malang</city>, <country country="id">Indonesia</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Gita Sekar Prihanti, <email xlink:href="mailto:sekar@umm.ac.id">sekar@umm.ac.id</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-21">
<day>21</day>
<month>01</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>13</volume>
<elocation-id>1737581</elocation-id>
<history>
<date date-type="received">
<day>02</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>25</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>05</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Prihanti and Fairuz Salmaa.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Prihanti and Fairuz Salmaa</copyright-holder>
<license>
<ali:license_ref start_date="2026-01-21">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://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.</license-p>
</license>
</permissions>
<abstract>
<p>The progress test is a periodic evaluation designed to assess the development of medical students&#x2019; knowledge during the professional stage. The Medical Education Preparation Program (Program Persiapan Pendidikan Dokter/P3D) was established as part of a widening participation initiative to expand inclusive access to medical education. This study aimed to analyze differences in progress test scores between P3D and regular students at the Faculty of Medicine, Universitas Muhammadiyah Malang. An analytical observational study with a retrospective cohort design was conducted using secondary data from progress test scores collected between 2022 and 2024. A total of 116 students were selected through random sampling, and the data were analyzed using independent t-tests and linear regression. The results showed no significant difference in progress test scores between P3D and regular students (<italic>p</italic>&#x202F;=&#x202F;0.891). However, a significant difference was observed in the 2016 cohort (<italic>p</italic>&#x202F;=&#x202F;0.004), with P3D students achieving higher mean scores. A decline in performance among more recent cohorts may have been influenced by external factors such as the COVID-19 pandemic. In conclusion, the academic performance of P3D and regular students was generally equivalent, indicating that the program effectively prepares students for the clinical rotation stage. These findings support the continuation of P3D as an inclusive admission pathway to strengthen the quality of medical education.</p>
</abstract>
<kwd-group>
<kwd>widening participation</kwd>
<kwd>Progress test</kwd>
<kwd>medical students</kwd>
<kwd>academic achievement</kwd>
<kwd>clinical rotation stage</kwd>
<kwd>medical education preparation program</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement>
</funding-group>
<counts>
<fig-count count="0"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="26"/>
<page-count count="5"/>
<word-count count="3215"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Healthcare Professions Education</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>Diversity among medical students is a key factor in enhancing educational quality and ensuring equitable access to high-standard healthcare services. However, admission to medical school is often regarded as highly competitive, emotionally demanding, and offering limited opportunities for applicants from underrepresented groups (<xref ref-type="bibr" rid="ref1">1</xref>). Such inequality may hinder access for individuals with strong academic potential who are disadvantaged by socioeconomic status, rural origin, first-generation higher education background, or disability.</p>
<p>To address these challenges, many higher education institutions have implemented widening participation (WP) initiatives aimed at broadening access, increasing participation, and supporting academic success among students from underrepresented backgrounds (<xref ref-type="bibr" rid="ref2 ref3 ref4">2&#x2013;4</xref>). Several universities worldwide have developed WP programs, including the Gateway to Medicine Programme in the United Kingdom, which provides a one-year academic preparation consisting of tutorials, simulations, and skills training to facilitate the transition into medical education (<xref ref-type="bibr" rid="ref5">5</xref>).</p>
<p>In Indonesia, the Faculty of Medicine at Universitas Muhammadiyah Malang (FK UMM) has introduced the Medical Education Preparation Program (Program Persiapan Pendidikan Dokter/P3D) as a local adaptation of WP. This program offers one year of academic and non-academic preparation to help students adapt to the demanding medical curriculum. The initiative is expected to bridge access gaps, particularly for applicants from diverse educational backgrounds, while maintaining the quality of graduates.</p>
<p>Evaluating the effectiveness of WP programs requires robust and continuous assessment tools. One widely adopted instrument is the progress test, a longitudinal formative assessment designed to measure the cumulative knowledge of medical students throughout their training (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref7">7</xref>). The progress test not only reflects individual academic performance but also serves as an indicator for comparing outcomes among students admitted through different pathways.</p>
<p>Although WP has been shown to improve access and diversity, empirical evidence on the academic performance of students admitted through such pathways remains limited, particularly in Indonesia. It is therefore important to determine whether students admitted through P3D achieve academic outcomes comparable to those of their peers.</p>
<p>This study analyzes differences in progress test performance between P3D and regular students at FK UMM during the professional stage, providing insights into the effectiveness of P3D as an inclusive pathway in medical education.</p>
</sec>
<sec sec-type="materials|methods" id="sec2">
<label>2</label>
<title>Materials and methods</title>
<p>This study employed an observational analytic design with a retrospective cohort approach, using secondary data from progress test scores of professional-stage medical students at the Faculty of Medicine, Universitas Muhammadiyah Malang (UMM). The dataset consisted of progress test results collected between 2022 and 2024 from students admitted between 2016 and 2021.</p>
<p>The study population included all professional-stage students from both the Medical Education Preparation Program (P3D) and the regular admission pathway. A total of 116 students were selected through random sampling with equal representation from both groups. The research instrument comprised secondary data on progress test scores ranging from 0 to 100, obtained from the official archives of the academic office, representing the cumulative assessment of students&#x2019; knowledge during the professional stage.</p>
<p>Data analysis was performed using statistical software. Descriptive statistics were used to describe respondent characteristics and score distribution, while independent t-tests were applied to compare mean scores between P3D and regular students. Linear regression analysis was further conducted to assess the influence of admission pathway and other variables on academic performance, with statistical significance set at <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05.</p>
<p>Ethical approval for this study was granted by the Health Research Ethics Committee of the Faculty of Medicine, Universitas Muhammadiyah Malang (No. E.5.a/083/KEPKUMM/V/2025). All data were anonymized prior to analysis to ensure participant confidentiality.</p>
</sec>
<sec sec-type="results" id="sec3">
<label>3</label>
<title>Results</title>
<p>A total of 116 professional-stage students were included in the analysis, comprising 58 from the P3D pathway and 58 from the regular pathway. Female students predominated (59.5%) compared to males (40.5%), with the largest proportion originating from the 2016 cohort (22.4%) (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Characteristics of study respondents.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Category</th>
<th align="center" valign="top">Description</th>
<th align="center" valign="top">P3D <italic>N</italic> (%)</th>
<th align="center" valign="top">Regular <italic>N</italic> (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Total</td>
<td/>
<td align="center" valign="middle">58 (50%)</td>
<td align="center" valign="middle">58 (50%)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="4">Gender</td>
</tr>
<tr>
<td align="left" valign="middle">Male</td>
<td/>
<td align="center" valign="middle">25 (21.6%)</td>
<td align="center" valign="middle">22 (19.0%)</td>
</tr>
<tr>
<td align="left" valign="middle">Female</td>
<td/>
<td align="center" valign="middle">33 (28.4%)</td>
<td align="center" valign="middle">36 (31.0%)</td>
</tr>
<tr>
<td align="left" valign="middle">Cohort</td>
<td align="center" valign="top">Year of progress test</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">2016</td>
<td align="center" valign="top">2022</td>
<td align="center" valign="middle">13 (11.2%)</td>
<td align="center" valign="middle">13 (11.2%)</td>
</tr>
<tr>
<td align="left" valign="middle">2017</td>
<td align="center" valign="top">2023</td>
<td align="center" valign="middle">11 (9.5%)</td>
<td align="center" valign="middle">11 (9.5%)</td>
</tr>
<tr>
<td align="left" valign="middle">2018</td>
<td align="center" valign="top">2024</td>
<td align="center" valign="middle">7 (6.0%)</td>
<td align="center" valign="middle">7 (6.0%)</td>
</tr>
<tr>
<td align="left" valign="middle">2019</td>
<td align="center" valign="top">2024</td>
<td align="center" valign="middle">11 (9.5%)</td>
<td align="center" valign="middle">11 (9.5%)</td>
</tr>
<tr>
<td align="left" valign="middle">2020</td>
<td align="center" valign="top">2023</td>
<td align="center" valign="middle">6 (5.2%)</td>
<td align="center" valign="middle">6 (5.2%)</td>
</tr>
<tr>
<td align="left" valign="middle">2021</td>
<td align="center" valign="top">2024</td>
<td align="center" valign="middle">10 (8.6%)</td>
<td align="center" valign="middle">10 (8.6%)</td>
</tr>
<tr>
<td/>
<td/>
<td align="center" valign="middle">Mean &#x00B1; SD (P3D)</td>
<td align="center" valign="middle">Mean &#x00B1; SD (Regular)</td>
</tr>
<tr>
<td align="left" valign="middle">Progress test</td>
<td/>
<td align="center" valign="middle">40.32&#x202F;&#x00B1;&#x202F;10.32</td>
<td align="center" valign="middle">40.55&#x202F;&#x00B1;&#x202F;7.79</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The mean progress test score of P3D students was 40.32&#x202F;&#x00B1;&#x202F;10.32, compared with 40.55&#x202F;&#x00B1;&#x202F;7.79 for regular students. The difference of 0.23 points was not statistically significant (<italic>p</italic>&#x202F;=&#x202F;0.891). The independent t-test also revealed no significant difference between male and female students (<italic>p</italic>&#x202F;=&#x202F;0.210).</p>
<p>Cohort-based analysis showed that only the 2016 cohort demonstrated a significant difference (<italic>p</italic>&#x202F;=&#x202F;0.004), with P3D students achieving higher mean scores than regular students, while no meaningful differences were observed in other cohorts. Overall, earlier cohorts (2016, 2017, 2018) tended to have higher average progress test scores compared with more recent cohorts (2019, 2020, 2021). The 2020 and 2021 cohorts recorded lower performance relative to the others (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Comparison of progress test mean scores by admission track, gender, and cohort.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Category</th>
<th>Description</th>
<th align="center" valign="top">P3D N (%)</th>
<th align="center" valign="top">Regular <italic>N</italic> (%)</th>
<th align="center" valign="top">Total <italic>N</italic> (%)</th>
<th align="center" valign="top"><italic>p</italic>-value&#x002A;</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" colspan="6">Gender</td>
</tr>
<tr>
<td align="left" valign="middle">Male</td>
<td/>
<td align="center" valign="middle">25 (21.6%)</td>
<td align="center" valign="middle">22 (19.0%)</td>
<td align="center" valign="middle">47 (40.5%)</td>
<td align="char" valign="top" char=".">0.270</td>
</tr>
<tr>
<td align="left" valign="middle">Female</td>
<td/>
<td align="center" valign="middle">33 (28.4%)</td>
<td align="center" valign="middle">36 (31.0%)</td>
<td align="center" valign="middle">69 (59.5%)</td>
<td align="char" valign="top" char=".">0.463</td>
</tr>
<tr>
<td align="left" valign="middle">Cohort</td>
<td align="left" valign="top">Semester of progress test</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">2016</td>
<td align="left" valign="top">4 (clinical stage)</td>
<td align="center" valign="middle">13 (11.2%)</td>
<td align="center" valign="middle">13 (11.2%)</td>
<td align="center" valign="middle">26 (22.4%)</td>
<td align="char" valign="top" char=".">0.004</td>
</tr>
<tr>
<td align="left" valign="middle">2017</td>
<td align="left" valign="top">4 (clinical stage)</td>
<td align="center" valign="middle">11 (9.5%)</td>
<td align="center" valign="middle">11 (9.5%)</td>
<td align="center" valign="middle">22 (19.0%)</td>
<td align="char" valign="top" char=".">0.456</td>
</tr>
<tr>
<td align="left" valign="middle">2018</td>
<td align="left" valign="top">4 (clinical stage)</td>
<td align="center" valign="middle">7 (6.0%)</td>
<td align="center" valign="middle">7 (6.0%)</td>
<td align="center" valign="middle">14 (12.1%)</td>
<td align="char" valign="top" char=".">0.773</td>
</tr>
<tr>
<td align="left" valign="middle">2019</td>
<td align="left" valign="top">4 (clinical stage)</td>
<td align="center" valign="middle">11 (9.5%)</td>
<td align="center" valign="middle">11 (9.5%)</td>
<td align="center" valign="middle">22 (19.0%)</td>
<td align="char" valign="top" char=".">0.255</td>
</tr>
<tr>
<td align="left" valign="middle">2020</td>
<td align="left" valign="top">7 (pre-clinical stage)</td>
<td align="center" valign="middle">6 (5.2%)</td>
<td align="center" valign="middle">6 (5.2%)</td>
<td align="center" valign="middle">12 (10.3%)</td>
<td align="char" valign="top" char=".">0.206</td>
</tr>
<tr>
<td align="left" valign="middle">2021</td>
<td align="left" valign="top">7 (pre-clinical stage)</td>
<td align="center" valign="middle">10 (8.6%)</td>
<td align="center" valign="middle">10 (8.6%)</td>
<td align="center" valign="middle">20 (17.2%)</td>
<td align="char" valign="top" char=".">0.960</td>
</tr>
<tr>
<td/>
<td/>
<td align="center" valign="middle">Mean &#x00B1; SD (P3D)</td>
<td align="center" valign="middle">Mean &#x00B1; SD (Regular)</td>
<td align="center" valign="middle">Mean &#x00B1; SD (Total)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Progress test</td>
<td/>
<td align="center" valign="middle">40.32&#x202F;&#x00B1;&#x202F;10.32</td>
<td align="center" valign="middle">40.55&#x202F;&#x00B1;&#x202F;7.79</td>
<td align="center" valign="middle">40.44&#x202F;&#x00B1;&#x202F;9.11</td>
<td align="char" valign="middle" char=".">0.891</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>&#x002A;Independent <italic>T</italic>-test.</p>
</table-wrap-foot>
</table-wrap>
<p>Further linear regression analysis indicated that neither gender (<italic>p</italic>&#x202F;=&#x202F;0.900) nor admission pathway (<italic>p</italic>&#x202F;=&#x202F;0.836) significantly influenced progress test performance. The regression model explained only 0.1% of score variation, suggesting that other factors likely play a greater role in students&#x2019; academic achievement (<xref ref-type="table" rid="tab3">Table 3</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Regression analysis of the effect of gender and admission track on progress test scores.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>Variable</th>
<th align="center" valign="top"><italic>B</italic></th>
<th align="center" valign="top"><italic>P</italic>-value&#x002A;</th>
<th align="center" valign="top"><italic>R</italic> square</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Intercept</td>
<td align="char" valign="top" char=".">39.540</td>
<td/>
<td align="char" valign="top" char="." rowspan="3">0.001</td>
</tr>
<tr>
<td align="left" valign="top">Gender</td>
<td align="char" valign="top" char=".">0.214</td>
<td align="char" valign="top" char=".">0.900</td>
</tr>
<tr>
<td align="left" valign="top">Admission track</td>
<td align="char" valign="top" char=".">0.362</td>
<td align="char" valign="top" char=".">0.836</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>&#x002A;Linear regression.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec sec-type="discussion" id="sec4">
<label>4</label>
<title>Discussion</title>
<p>This study showed that the progress test scores of P3D students did not differ significantly from those of non-P3D students, indicating that both groups achieved comparable academic outcomes. The small mean difference suggests that the academic potential of P3D students is equivalent to that of students admitted through the regular pathway.</p>
<p>These findings align with previous studies comparing the performance of pre-medical and regular medical track students, which also reported no significant differences in academic achievement (<xref ref-type="bibr" rid="ref8">8</xref>). Similarly, a recent study found no significant differences in Annual Review of Competence Progression (ARCP) outcomes between graduates of gateway courses and those from standard entry medicine, suggesting comparable performance across pathways (<xref ref-type="bibr" rid="ref9">9</xref>). This reinforces the view that alternative admission routes, such as the P3D program, can produce graduates with competencies equivalent to those admitted through conventional entry.</p>
<p>Nonetheless, other studies have reported contrasting results, indicating that admission mechanisms may influence long-term academic performance (<xref ref-type="bibr" rid="ref10">10</xref>) and that the type of entry pathway can be associated with cumulative grade point average outcomes (<xref ref-type="bibr" rid="ref11">11</xref>). Such variations highlight that the effectiveness of alternative admission routes is highly dependent on institutional context and program design.</p>
<p>Analysis by entry cohort revealed a significant difference in the 2016 intake, where P3D students achieved higher scores than their non-P3D counterparts. This may be attributed to stronger learning motivation and better time management skills (<xref ref-type="bibr" rid="ref12">12</xref>), as well as longer study experience that supports examination readiness (<xref ref-type="bibr" rid="ref13">13</xref>). Overall, earlier cohorts (2016&#x2013;2018) recorded higher mean progress test scores compared with more recent cohorts (2019&#x2013;2021). This trend is consistent with previous findings showing that senior students tend to perform better academically as their knowledge and experience accumulate over time (<xref ref-type="bibr" rid="ref7">7</xref>, <xref ref-type="bibr" rid="ref13">13</xref>).</p>
<p>Cohorts entering in 2020 and 2021 demonstrated lower overall performance, likely reflecting the impact of the COVID-19 pandemic, which diminished the effectiveness of higher education learning (<xref ref-type="bibr" rid="ref14">14</xref>). Gender was not significantly associated with progress test outcomes, aligning with evidence that academic achievement is generally not influenced by gender differences (<xref ref-type="bibr" rid="ref15">15</xref>). Instead, non-biological factors such as motivation (<xref ref-type="bibr" rid="ref16">16</xref>), time management (<xref ref-type="bibr" rid="ref17">17</xref>), family support (<xref ref-type="bibr" rid="ref18">18</xref>), and peer influence (<xref ref-type="bibr" rid="ref19">19</xref>) are more likely to play a decisive role, as highlighted in previous studies on predictors of academic performance.</p>
<p>These findings have important implications for the sustainability of the P3D program. Beyond functioning as a selection mechanism, P3D serves as a one-year academic and non-academic preparation system that enables students to develop skills and readiness for the professional phase. This concept aligns with the Gateway to Medicine Programme in the United Kingdom, which broadens access to medical education without compromising graduate quality (<xref ref-type="bibr" rid="ref20">20</xref>), as well as with similar preparatory initiatives in other countries that have been shown to enhance student readiness for the professional stage (<xref ref-type="bibr" rid="ref21">21</xref>).</p>
<p>At the Faculty of Medicine, Universitas Muhammadiyah Malang, P3D is implemented through administrative selection, two semesters of structured coursework, and phased evaluation with clear academic criteria (<xref ref-type="bibr" rid="ref22">22</xref>). The program&#x2019;s success is further supported by active student engagement, particularly in developing self-directed learning, motivation, communication (<xref ref-type="bibr" rid="ref23">23</xref>), and critical thinking skills (<xref ref-type="bibr" rid="ref24">24</xref>). Moreover, the integration of active learning strategies&#x2014;such as motivational interviewing, think-aloud, retrieval practice, and peer teaching&#x2014;together with senior student mentoring, has contributed to improved academic outcomes (<xref ref-type="bibr" rid="ref25">25</xref>, <xref ref-type="bibr" rid="ref26">26</xref>). Therefore, P3D can be considered an effective widening participation model with potential for adoption by other medical schools in Indonesia.</p>
<p>This study has several limitations. Its scope was restricted to a single institution with limited variables, namely preparatory program type and gender. Other non-biological factors, such as motivation, learning strategies, and social support, were not directly analyzed, although they may influence learning outcomes and should be considered in future research. The data relied on academic records, which depended on the completeness of documentation and may have introduced bias. In addition, the progress test primarily assessed cognitive aspects and may not fully capture students&#x2019; clinical skills.</p>
<p>To address these limitations, future studies should adopt a prospective multicenter design with a broader range of variables and evaluate the effectiveness of P3D not only through progress test results but also with additional indicators such as Grade Point Average (GPA) and clinical readiness.</p>
</sec>
<sec sec-type="conclusions" id="sec5">
<label>5</label>
<title>Conclusion</title>
<p>P3D students demonstrated progress test performance comparable to that of students admitted through the regular pathway at the professional stage. A significant difference was observed only in the 2016 cohort, where P3D students achieved higher scores. Neither admission pathway nor gender influenced performance, indicating that entry route was not a major determinant of academic outcomes. These findings suggest that P3D is an effective alternative admission pathway that can be further developed to expand access to medical education without compromising academic quality.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec6">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="ethics-statement" id="sec7">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Komite Etik Penelitian Kesehatan Fakultas Kedokteran Universitas Muhammadiyah Malang. 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 sec-type="author-contributions" id="sec8">
<title>Author contributions</title>
<p>GP: Conceptualization, Methodology, Investigation, Data curation, Formal analysis, Validation, Visualization, Writing &#x2013; original draft, Supervision. NF: Writing &#x2013; review &#x0026; editing, Data curation, Formal analysis, Validation, Investigation, Visualization, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors would like to express their gratitude to the Faculty of Medicine, Universitas Muhammadiyah Malang, for providing access to the data and facilities used in this study.</p>
</ack>
<sec sec-type="COI-statement" id="sec9">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec10">
<title>Generative AI statement</title>
<p>The author(s) declared that Generative AI was not 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 sec-type="disclaimer" id="sec11">
<title>Publisher&#x2019;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>
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<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2126010/overview">Henry David Mason</ext-link>, Tshwane University of Technology, South Africa</p></fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3248578/overview">Naseel Moursy</ext-link>, Alfaisal University, Saudi Arabia</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3302148/overview">Munira Hirkani</ext-link>, King Edward Memorial Hospital and Seth Gordhandas Sunderdas Medical College, India</p></fn>
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