ArticleAnnals of family medicine2025
Teamwork Among Primary Care Staff to Achieve Regular Follow-Up of Chronic Patients.
Article in Annals of family medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Beyond clinical care: A qualitative study on the leadership role of general practitioners in dutch interprofessional care for older adults.The European journal of general practice · 2026Article
- Antidiabetic Treatment Intensity and Diabetic Peripheral Neuropathy in a County-Level Metabolic Management Center: A Real-World Cross-Sectional Study.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026Article
- Global trends and health system impact on polycystic ovary syndrome: a comprehensive analysis of age-stratified females from 1990 to 2021.Frontiers in reproductive health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeAlthough studies have shown that more temporally regular (TR) primary care visits are associated with improved patient outcomes, none have examined what clinic staff can do to encourage greater TR visits. This study aims to increase understanding of factors related to health care staff dynamics that contribute to more TR primary care visits for adults with chronic health conditions.
methodsWe conducted semistructured interviews with 15 primary care physicians, 12 nurses, 15 administrative staff, and 4 pharmacists at 12 clinics; one-half characterized as high-TR clinics where patients had regular follow-ups, and the other as low-TR clinics. Interviews were audiotaped, transcribed, and coded using Atlas qualitative data analysis software (Lumivero, LLC).
resultsThemes emerged regarding best ways to promote regular follow-up of patients with chronic conditions. These strategies included having a system to encourage follow-up (beginning with administrative staff reaching out to patients and ending with recruiting the help of patients' family members), routine staff meetings, adaptive workflow, dealing with bureaucracy on patients' behalf, informal channels of communication with patients, and consulting social workers. Clinics with more regular follow-up emphasized teamwork, a peaceful approach toward challenging patients, and flat as opposed to hierarchical organizational structures for personal relationships among staff.
conclusionsTeamwork between staff members in primary care settings can contribute to more proactive care delivery, with greater potential to prevent long-term complications. The findings suggest that a high-functioning multidisciplinary care team that focuses on creating the right sorts of interactions and teamwork among members of the staff can contribute to engaging patients more effectively.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.