ArticleJournal of community health2017
Delivery of Community-Based Care Through Inter-professional Teams in Brazil's Unified Health System (UHS): Comparing Perceptions Across Community Health Agents (CHAs), Nurses and Physicians.
Article in Journal of community health, 2017. 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, 11 citations in OpenAlex.
- Factors that Influence Co-production among Student Interns, Consumers, and Providers of Social and Public Health Services: Implications for Interprofessional Collaboration and Training.Social work in public health · 2022Article
- Brazil's Community Health Workers Practicing Narrative Medicine: Patients' Perspectives.Journal of general internal medicine · 2021Article
- Barriers and facilitators of rendering HIV services by community health workers in sub-Saharan Africa: a meta-synthesis protocol.BMJ open · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Given the shortage of medical providers and the need for medical decisions to be responsive to community needs, including lay health providers in health teams has been recommended as essential for the successful management of global health care systems. Brazil's Unified Health System (UHS) is a model for delivering community-based care through Family Health Strategy (FHS) interdisciplinary teams comprised of medical and lay health providers-Community Health Agents (CHAs), nurses, and physicians. This study aims to understand how medical and lay health providers' perceptions and attitudes could impact the delivery of community-based care. The study compares perceptions and attitudes of 168 CHAs, 62 nurses, and 32 physicians across their job context, professional capacities, professional skills, and work environment. Descriptive and bivariate analysis were performed. CHAs reported being the most efficacious amongst the providers. Physicians reported incorporating consumer-input to a lesser degree than nurses and CHAs. CHAs reported using a lesser variety of skills than physicians. A significant proportion of physicians compared to CHAs and nurses reported that they had decision-making autonomy. Providers did not report differences that lack of resources and poor work conditions interfered with their ability to meet consumer needs. This study offers technocratic perspectives of medical and lay health providers who as an inter-professional team provide community-based primary health care. Implications of the study include proposing training priorities and identifying strategies to integrate lay health providers into medical teams for Brazil's Unified Health System and other health systems that aim to deliver community-based care through inter-professional health teams.
Indexed as
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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.