Background: Unclear roles in interdisciplinary primary care teams can impede optimal team-based care. We assessed perceived task allocation among primary care providers (PCPs) and staff during implementation of a new patient-centered care model in Veterans Affairs (VA) primary care practices.
Methods: We performed a cross-sectional survey of PCPs and primary care staff (registered nurses (RNs), licensed practical/vocational nurses (LPNs), and medical assistants/clerks (MAs)) in 23 primary care practices within one VA region. We asked subjects whether PCPs performed each of 14 common primary care tasks alone, or relied upon staff for help. Tasks included gathering preventive service history, disease screening, evaluating patients and making treatment decisions, intervening on lifestyle factors, educating patients about self-care activities and medications, refilling prescriptions, receiving and resolving patient messages, completing forms, tracking diagnostic data, referral tracking, and arranging home health care. We then performed multivariable regression to determine predictors of perceived PCP reliance on staff for each task.
Results: 162 PCPs and 257 staff members responded, a 60% response rate. For 12/14 tasks, fewer than 50% of PCPs reported relying on staff for help. For all 14 tasks, over 85% of RNs reported they were relied upon. For 12/14 tasks, over 50% of LPNs reported they were relied on, while for 5/14 tasks a majority of MAs reported being relied upon. Nurse practitioners and physician assistants (NP/PAs) reported relying on staff less than physicians.
Conclusions: Early in the implementation of a team-based primary care model, most PCPs perceived they were solely responsible for most clinical tasks. RNs, and LPNs felt they were relied upon for most of the same tasks, while medical assistants/clerks reported being relied on for fewer tasks. Better understanding of optimal inter-professional team task allocation in primary care is needed.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.hjdsi.2015.05.002 | DOI Listing |
Ann Intern Med
January 2025
Durham VA Health Care System, Durham; and Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina (K.M.G.).
Background: Tissue-based genomic classifiers (GCs) have been developed to improve prostate cancer (PCa) risk assessment and treatment recommendations.
Purpose: To summarize the impact of the Decipher, Oncotype DX Genomic Prostate Score (GPS), and Prolaris GCs on risk stratification and patient-clinician decisions on treatment choice among patients with localized PCa considering first-line treatment.
Data Sources: MEDLINE, EMBASE, and Web of Science published from January 2010 to August 2024.
Ann Intern Med
January 2025
959 Medical Operations Squadron, U.S. Air Force, Department of Neurology, Brooke Army Medical Center, San Antonio, Texas (T.K.).
Description: In July 2024, the U.S. Department of Veterans Affairs (VA) and U.
View Article and Find Full Text PDFJMIR Ment Health
January 2025
Division of Psychology and Mental Health, University of Manchester, Manchester, United Kingdom.
Background: Digital mental health interventions (DMHIs) to monitor and improve the health of people with psychosis or bipolar disorder show promise; however, user engagement is variable, and integrated clinical use is low.
Objective: This prospectively registered systematic review examined barriers and facilitators of clinician and patient engagement with DMHIs, to inform implementation within real-world settings.
Methods: A systematic search of 7 databases identified empirical studies reporting qualitative or quantitative data about factors affecting staff or patient engagement with DMHIs aiming to monitor or improve the mental or physical health of people with psychosis or bipolar disorder.
Gac Med Mex
January 2025
Clínica de Hipertensión y Riesgo Cardiovascular, ISSSTESon, Hermosillo, Sonora. México.
Cardiovascular disease is the main cause of mortality in Mexico as well as the rest of the world, with dyslipidemia being one of the main risk factors. Despite the importance of its epidemiological impact, there is still -among primary care physicians- a lack of knowledge ranging from the basic concepts for diagnosis to the most recent recommendations for treatment. This document consisting of 10 questions is done by experts in this field.
View Article and Find Full Text PDFJ Clin Psychiatry
January 2025
Division of Gastrointestinal and Liver Diseases, Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California.
We compared substance use disorder (SUD) prevalence among adult inflammatory bowel disease (IBD) hospitalizations with non-IBD controls from the 2016-2018 National Inpatient Sample, assessing correlations with demographics, socioeconomic status, geographic regions, depression, and anxiety. The primary aim focused on SUD, defined as substance abuse or dependence (: F10-F19) excluding unspecified use or remission, among hospitalizations documenting IBD (Crohn's disease or ulcerative colitis; : K50-51) as one admitting diagnosis (IBD-D). The prevalence of SUD among hospitalizations with and without IBD was compared.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!