SynthesisBMC primary care2026
The association between team-based model of care characteristics and patient outcomes in community health centres: a systematic review.
Synthesis in BMC primary care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
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
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundCommunity Health Centres (CHCs) are community-governed organizations often located in communities facing significant challenges with social determinants of health. To date, no review has summarized the evidence on the effects of team-based models of care on patient outcomes. The objective of this systematic review was to synthesize the evidence on the characteristics of interprofessional teams practicing in CHCs and their associations with patient outcomes.
methodsA systematic review was conducted following the guidelines of the Cochrane Handbook for Systematic Reviews of Interventions. In October 2024, an electronic search was performed in five databases and the grey literature using a combination of descriptors and keywords. No restrictions were applied regarding language or year of publication. Screening and data extraction were independently conducted by two reviewers. The included papers focused on interprofessional teams composed of at least three different types of providers (e.g., physician, nurse, and nutritionist) practicing in CHCs and addressing at least one patient outcome (e.g., satisfaction, diabetes management). The risk of bias was assessed by two independent reviewers using the Joanna Briggs Institute checklist.
resultsFrom 6,309 identified papers, 36 papers were included. Most papers focused on team composition (n = 18) and staffing patterns (n = 8). Adjustments to staffing patterns-such as increasing full-time equivalents, expanding team size, and diversifying skill mixes-were associated with improved patient satisfaction and increased number of visits. Adding a chiropractor reduced opioid prescriptions and patient pain, while including a pharmacist improved hepatitis management and patient satisfaction. Inconsistent findings were observed regarding the inclusion of nurse practitioners and physician assistants in interprofessional teams and their impact on the number of patients seen in CHCs. Specialized interprofessional teams addressing diabetes, pain management, and childhood obesity had better health outcomes and care management compared to standard care, highlighting the value of tailored interprofessional collaboration in achieving improved health outcomes for specific populations.
conclusionsSpecific team compositions are associated with improved health outcomes for the populations served by CHCs. Future research is needed to deepen the understanding of the associations between team composition, the type of care provided, and patients' clinical and psychosocial needs.
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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.