Introduction: This study examines training, experience, and collaborative practices of physician assistants (PAs) with employment experience and their perspectives on practice act legislation.
Methods: Mixed method study with quantitative and qualitative data.
Results: One hundred eighty participants completed the survey. During clinical employment, 81.05% of respondents reported physicians participated in training. However, supervising physicians trained only 43.46%; 56.54% reported being trained by nurse practitioners (NPs), PAs, and/or other physicians. Onsite collaboration with physicians was reported by 87.2%. Supervising physician involvement was reported by 67.3%, and of these, 59% collaborated with PAs, NPs, and/or other physicians as well. One-third collaborated only with NPs, PAs, and/or other physicians. Daily/weekly collaboration with a supervising physician was reported by 78.89% in their first position and 54.87% in their current/most recent position; 77.22% collaborated with NPs, PAs, and/or other physicians in their first position and 71.68% in their current/most recent position. Most (64.44%) felt PAs should not be legally required to have physician supervision. Most (76.12%) felt care quality would not decrease if supervision were lifted. Most (74.44%) agreed that PAs are hired less frequently than NPs in states where physician supervision is required for PA but not NPs.
Discussion: Findings suggest that team-based practice is already the current structure of PA clinical training and collaboration with PAs receiving significant support from physicians who are not supervising physicians and other nonphysician practitioners. Establishing oversight at the practice level is supported by this practice structure. Determining effects of practice act legislation on employment training, collaboration, and hiring practices warrants further research.
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http://dx.doi.org/10.1097/JPA.0000000000000628 | DOI Listing |
JMIR Res Protoc
January 2025
Institute for Health Care Management and Research, University of Duisburg-Essen, Essen, Germany.
Background: Artificial intelligence (AI)-based clinical decision support systems (CDSS) have been developed for several diseases. However, despite the potential to improve the quality of care and thereby positively impact patient-relevant outcomes, the majority of AI-based CDSS have not been adopted in standard care. Possible reasons for this include barriers in the implementation and a nonuser-oriented development approach, resulting in reduced user acceptance.
View Article and Find Full Text PDFNeurology
February 2025
From the Temple University College of Public Health (I.L.H.); Thomas Jefferson University (G.G.); and Department of Neurology (T.D.H.-P.), Lewis Katz School of Medicine at Temple University, Philadelphia, PA.
Background And Objectives: Clinical care for people living with amyotrophic lateral sclerosis (PLWALS) is directed at slowing disease progression and symptom management. The American Academy of Neurology recommends a multidisciplinary approach to providing ALS health care because observational studies show that multidisciplinary clinics (MDCs) extend survival and improve quality of life. However, providing multidisciplinary care is a challenging financial proposition.
View Article and Find Full Text PDFAm J Public Health
January 2025
Teeraboon Lertwanichwattana and Ram Rangsin are with Phramongkutklao College of Medicine, Bangkok, Thailand. Supattra Srivanichakorn, Sairat Noknoy, and Sirinapa Siriporn Na Ratchaseema are with the Royal College of Family Physicians of Thailand, Bangkok. Nittaya Phanuphak is with the Institute of HIV Research and Innovation, Bangkok. Kitti Wongthavarawat is with the National Science and Technology Development Agency, Bangkok. Arunotai Siriussawakul, Varalak Srinonprasert, and Pattara Leelahavarong are with the Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok. Parawee Chevaisrakul and Putthapoom Lumjiaktase are with the Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok. Aree Kumpitak is with the Thai Network of People Living With HIV, Bangkok. Nopphan Phromsri is with the Human Settlement Foundation, Bangkok. Yupadee Sirisinsuk is with the Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok. Pongtorn Kietdumrongwong is with the Bangkok Dusit Medical Services, Bangkok. Apinun Aramrattana is with the Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
To determine the overall mortality and risk factors of COVID-19 patients who were admitted to the Home Isolation (HI) program in Bangkok, Thailand, during the epidemic crisis in 2021. We conducted a retrospective cohort study using the data from a government telehealth application from July to December 2021. The vital status was verified from the government database on September 20, 2022.
View Article and Find Full Text PDFJ Glob Health
January 2025
Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Background: The prevalence of antibiotic prescribing among total prescriptions, the percentage of combined antibiotic prescribing among prescriptions containing at least one antibiotic, and factors influencing hospital antibiotic prescribing are currently unknown. In this systematic review, we aimed to summarise antibiotic prescribing in hospitals worldwide and identify the associated factors.
Methods: We searched PubMed/MEDLINE, Ovid/Embase, and the Web of Science for articles published between 1 January 2000 and 28 February 2023 that reported antibiotic prescribing in hospitals or the associated factors.
PLoS One
January 2025
Department of Clinical Pharmacy and Practice, College of Pharmacy, QU Health, Qatar University, Doha, Qatar.
There is paucity of studies focused on the enablers and barriers to community pharmacists' readiness to deprescribe inappropriate medications for older adults in developing settings. The current study assessed the enablers and barriers to community pharmacists' readiness to implement deprescribing of inappropriate medications for older adults. A cross-sectional survey of 252 community pharmacists was conducted in Qatar with a pre-tested 24-item questionnaire developed with the theory of domain framework.
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