Understanding the scope of practice of physician associate/physician associate comparable professions using the World Health Organization global competency and outcomes framework for universal health coverage.

BACKGROUND: Physician Associate and Physician Associate comparable (PA/PA-comparable) professions are classified by the 2012 International Labour Classification of Occupations within ISCO group 2240 paramedical practitioners. However, to date, there is no single global framework which categorizes and/or describes their scopes of practice, or a single unifying occupational group name. In 2022, the World Health Organization (WHO) published its Global Competency and Outcomes Framework for Universal Health Coverage which focuses on the practice activities for health workers with a pre-service training pathway of 12-48 months, thus including many PA/PA-comparable roles. In this study we describe the similarities and differences between the SOP documents for PA/PA-comparable professions with a pre-service pathway of 12-48 months, thus excluding any extra-training and specializations, from 25 countries using the WHO Framework as a frame of reference. METHODS: SOP documents were collected from 25 countries and mapped to the WHO Framework by 3 independent reviewers. We used descriptive statistics to examine the percent agreement between the WHO Framework and SOP documents by country, as well as the ubiquity of each WHO practice activity across the examined documents. To test the hypothesis that country-specific economic indicators and healthcare workforce metrics may be linked to the presence or absence of specific SOP elements, we utilized Wilkoxon and Fisher Exact tests to examine associations between World Bank economic indicators and country specific healthcare workforce metrics and presence/absence of specific WHO Framework practice activities within each SOP. RESULTS: We identified significant heterogeneity between the WHO practice activities reported in the 25 SOP documents, particularly related to the provision of individual health services. We also identified statistically significant associations between World Bank economic indicators and country specific healthcare workforce metrics and presence/absence of the following seven practice activities relating to Individual Health, Population Health, and Management and Organization practice domains: (1) "Formulating a judgement following a clinical encounter," (2) "Assessing community health needs" (3) "Planning and delivering community health programmes," (4) "Managing public health communication," (5) "Developing preparedness for health emergencies and disasters, including disease outbreaks," (6) "Providing workplace-based learning and supervision," and (7) "Participating in evaluation and research." In each case, presence of the above practice activities was associated with lower health economic and workforce indicators, suggesting that these SOP practice activities are more common in lower income countries and countries with a smaller per-capita health workforce. CONCLUSIONS: The WHO practice activities provide an effective framework to catalogue and compare the responsibilities of PA/PA-comparable professions recorded by country specific SOP documents. This approach could also be used to compare different occupational SOPs within a country, as well as SOPs between countries. The authors propose that additional information relating to the types of procedures and the level of supervision or autonomy would enable a more comprehensive comparison of SOPs, going beyond the granularity offered by the WHO framework. At that level, the evaluation could then be used to inform gap analyses for training needs in the context of migration, or to better understand the health team skill mixes across different countries. The study also offers reflections on the importance of clarity of intended meaning within the SOP documents.

Maximizing Black applicant matriculation in U.S. PA programs: associations between the number of submitted applications and likelihood of matriculation.

BACKGROUND: Physician Assistants (PA) are important members of the medical team, and increasing diversity in healthcare professionals has been consistently associated with improved health outcomes for underrepresented minority patients. In this study of a national cohort of PA program applicants, we investigated whether the number of programs a student applied to (Application Number, AN) was significantly associated with increased likelihood of matriculation into a PA program. METHODS: We examined all applications (n = 27,282) to the 2017-2018 admissions cycle of the Central Application Service for Physician Assistants, which is utilized by over 90% of accredited PA programs in the US. As we a priori hypothesized that associations would be non-linear, we used natural cubic splines to estimate the associations between matriculation and AN, controlling for multiple metrics of academic achievement, experience, and applicant demographics. We subsequently used segmented regression analyses (modified poisson regression with robust error variance) to investigate log-linear associations above and below inflection points identified in the spline analyses. Additionally, we explored for effect modification by race/ethnicity. RESULTS: The strongest associations were observed between application number 2-7, and a threshold effect was observed at > 16 applications, beyond which there was no significant, incremental benefit in matriculation likelihood. Associations differed by race, particularly for application number 2-7, wherein the incremental benefit from each additional application was highest for Black applicants (Likelihood Ratio [LR]: 1.243, 95% CI: 1.136 to 1.360) vs non-Latinx White (LR: 1.098, 95% CI: 1.072 to 1.125), with no additional, incremental benefit beyond 7 program applications. For all other races, significant increased likelihoods of matriculation were observed until 16 program applications. CONCLUSIONS: These findings can help guide pre-PA advisors and PA programs, providing recommended thresholds to applicants on the most cost effective ways to increase their likelihood of admissions, and the PA profession as a whole by providing actionable information that can potentially increase Race/Ethnic diversity in the PA profession and, by extension, medical teams.

Physician assistants in geriatric medical care.

BACKGROUND: The US population is maturing. As of 2020, over 52 million (16%) people are age 65 or older. With a citizenry that is increasingly "gray," the nation is short of medical providers who specialize in geriatric medical care. For example, the number of geriatrician physicians per 10,000 adults 65 years and older has decreased since 2000, with approximately 5300 in 2018. Nurse practitioners in geriatric medical care numbered 598 in 2018. Considering that the projected needs by 2030 will be over 30,000, the trajectory of geriatricians is becoming increasingly inadequate for the aging population. Physician assistants (PA) are another class of providers that are filling this geriatric medical care role, although little has been published. To address this role of PAs a study was undertaken. METHODS: The National Commission on Certification of Physician Assistants databank provided the number and characteristics of PAs in geriatric medicine and compared them to all other certified PAs. Analyses included descriptive statistics, Chi-Square, and Wilcoxon Rank Sum tests for comparisons between PAs practicing in geriatric medical care vs. all other PA specialties. Where a comparison between PAs in geriatrics and other specialties was made, a P value of .05 or less was considered statistically significant. RESULTS: As of 2018, there were 794 certified PAs, or 0.8% of the certified PA workforce, in geriatric medical care. This cadre has grown significantly since 2013, both in total number (increasing over 373%) and as a percentage of the PA workforce. The median age of certified PAs in geriatrics is 45 years, and 79% are female. Almost half (46%) of PAs in geriatric medicine work in extended care facilities or nursing homes, which differs from PAs in non-geriatric care. Another 8% work in government facilities and 8% in rehabilitation facilities. In 2018, the mean annual income for this PA group was $106,680. CONCLUSIONS: As the American population continues to age, the relative growth of PAs in geriatric medicine makes them a natural part of the solution to the projected physician geriatrician deficit. The role of PAs in geriatric medical care remains to be explored.

Blue Sky Thinking: Physician Assistant Accreditation and the Potential Impact on the Programs, Faculty, and the Profession.

ABSTRACT: Blue sky thinking references the opportunity to brainstorm about a topic without limits… to consider what things might be like if creative thoughts were unconstrained by current philosophies or other boundaries. This article is a call to our fellow educators to consider how blue sky thinking applied to physician assistant (PA) program accreditation might further advance programs, faculty, and the profession. To develop and maintain a PA program, institutions must voluntarily undergo evaluation by the Accreditation Review Commission on Education for the Physician Assistant. Compliance with accreditation encourages sound educational practices, promotes program self-study, stimulates innovation, maintains confidence with the public, and focuses on continuous quality improvement. In addition, accreditation "can hold institutions accountable for desired outcomes and professional standards." Indeed, while the PA profession has promulgated across the globe, the 50+ years of graduating PAs educated with the highest quality education assures that the United States remains a gold standard. As the 5th edition of the standards are implemented and planning for the 6th edition is underway, in the spirit of continuous quality improvement, we encourage stakeholders of the PA profession to contemplate ways in which accreditation might continue to purposefully advance a desired future state for the profession. In this article, we draw on examples from other health professions which might inform a discussion around the future of PA accreditation. Specifically, the topics of a unified profession title and degree, a specific title and position for program leadership, a modification to how PA programs receive medical direction, and efforts to advance scholarship are addressed.

Military Veteran Matriculation in US Physician Associate/Assistant Programs.

INTRODUCTION: This study aims to determine whether veterans have differential access to physician associate/assistant (PA) education by examining likelihood of matriculation relative to nonveteran peers. We explore associations between veteran status and likelihood of matriculation for change over time and whether effects differ among active duty versus non-active-duty applicants. METHODS: Multivariate logistic regression was used to investigate associations between self-identified military status and likelihood of PA program matriculation in five Centralized Applicant Services for Physician Assistants admissions cycles (2012-2013, 2014-2015, 2016-2017, 2018-2019, 2020-2021). Models controlled for age, sex, race/ethnicity, patient care experience hours, total undergraduate grade point average, and number of applications submitted and applied a Bonferroni correction for alpha inflation. RESULTS: Veteran applicant numbers were small across the study time frame but increased from 2012 (n = 708) to 2020 (n = 978), representing a 38% increase over the lookback period. Despite growth, the proportion of veterans in the matriculant pool has decreased from 4.2% in 2012 to 3.0% in 2020. In unadjusted models, military status was not strongly associated with odds of matriculation. In adjusted models, both veteran and active-duty status were associated with higher odds of matriculation, although this increase was not statistically significant at the 0.005 level for applicants on active-duty. DISCUSSION: Military veterans and active-duty military personnel have higher likelihood of matriculation into US PA programs relative to nonveteran peers. The proportion of veterans in the matriculant pool has decreased over time. This suggests that while PA programs seems to value previous military experience, further efforts to evaluate and address barriers to military veterans in applying for admissions is needed.

Non-native English-speaking applicants and the likelihood of physician assistant program matriculation.

PURPOSE: Effective communication is critical in patient care. Multilingual medical providers, including Physician Assistants (PAs) can contribute to improved health care among patients with limited English proficiency; however, this is contingent upon matriculating multilingual providers. In this study, the association between prospective applicants' self-reported English as second language (ESL) status and their likelihood of matriculation into a PA program was investigated. METHODS: Participants included applicants to five admission cycles of the Centralized Application Service for Physician Assistant from 2012 to 2020. Logistic regression was utilized to investigate association between applicant ESL status and odds of program matriculation in both bivariate and multivariable regression models. Models were adjusted for citizenship status, undergraduate grade point average, gender, age, race/ethnicity, number of programs applied to, and patient care hours. RESULTS: In unadjusted and adjusted models, ESL status was associated with a significantly lower odds of matriculation to a PA program across all study years. In adjusted multivariable models, associations were strongest for 2014-2015 where ESL status was associated with a 35% lower odds of matriculation (odds ratio 0.65, 95% confidence interval 0.56, 0.76) when controlling for demographics, citizenship status, patient care experience, and academic achievement. In sensitivity analyses restricting to (a) those with TOEFL scores ≥ 100, and (b) restricting to those ESL applicants without TOEFL scores, we did not observe important changes in our results. CONCLUSIONS: Results indicated that non-native English-speaking applicants have lower odds of PA program matriculation. Decrements in matriculation odds were large magnitude, minimally impacted by adjustment for confounders and persistent across the years. These findings suggest that PA program admission processes may disadvantage non-native English-speaking applicants. While there are potential explanations for the observed findings, they are cause for concern. Matriculating and training PAs who have language concordance with underserved populations are important means of improving patient outcomes.

Validation of a Novel Statistical Method to Identify Aberrant Patient Logging: A Multi-Institutional Study.

INTRODUCTION: Student patient encounter logging informs the quality of supervised clinical practice experiences (SCPEs). Yet, it is unknown whether logs accurately reflect patient encounters, and the faculty resources necessary to review for potential aberrant logging are significant. The purpose of this study was to identify a statistical method to identify aberrant logging. METHODS: A multi-institutional (n = 6) study examined a statistical method for identifying potentially aberrant logging behavior. An automated statistical Mahalanobis Distance (MD) measurement was used to categorize student logs as aberrant if they were identified as probable multivariate outliers. This approach was validated using a gold standard for aberrant logging behavior with manual review by 4 experienced faculty ("faculty consensus") and then comparing interrater agreement between faculty and MD-based categorization. In secondary analyses, we compared the relative accuracy of MD-based categorization to individual faculty categorizing data from their own program ("own program" categorization). RESULTS: 323 student logging records from 6 physician assistant (PA) programs were included. Compared to "faculty consensus" (the gold standard), MD-based categorization was highly sensitive (0.846, 95% CI: 0.650, 1.000) and specific (0.766, 95% CI: 0.645, 0.887). Additionally, there was no significant difference in sensitivity, specificity, positive predictive value, or negative predictive value between MD-based categorization and "own program" categorization. DISCUSSION: The MD-based method of identifying aberrant and nonaberrant student logging compared favorably to the more traditional, faculty-intensive approach of reviewing individual student logging records. This supports MD-based screening as a less labor-intensive alternative to individual faculty review to identify aberrant logging. Identification of aberrant logging may facilitate early intervention with students to improve clinical exposure logging during their SCPEs.