Evidence map›Paper›PMID 38110919›Full record

ArticleBMC health services research2023

Community perceptions of a biopsychosocial model of integrated care in the health center: the case of 4 health districts in South Kivu, Democratic Republic of Congo.

Bertin Kasongo, Abdon Mukalay, Christian Molima, Samuel Lwamushi Makali, Christian Chiribagula, Gérard Mparanyi, Hermès Karemere, Ghislain Bisimwa, Jean Macq

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.2field-weighted citation impact, top 11% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

Bertin KasongoEcole Régionale de Santé Publique (ERSP), Catholic University of Bukavu, Bukavu, Democratic Republic of Congo. bkas2504@gmail.com.
Abdon MukalaySchool of Public Health (ESP), University of Lubumbashi, Lubumbashi, Democratic Republic of Congo.
Christian MolimaEcole Régionale de Santé Publique (ERSP), Catholic University of Bukavu, Bukavu, Democratic Republic of Congo.
Samuel Lwamushi MakaliEcole Régionale de Santé Publique (ERSP), Catholic University of Bukavu, Bukavu, Democratic Republic of Congo.
Christian ChiribagulaEcole Régionale de Santé Publique (ERSP), Catholic University of Bukavu, Bukavu, Democratic Republic of Congo.
Gérard MparanyiFaculty of Pharmaceutical Sciences and Public Health, Official University of Bukavu, Bukavu, Democratic Republic of Congo.
Hermès KaremereEcole Régionale de Santé Publique (ERSP), Catholic University of Bukavu, Bukavu, Democratic Republic of Congo.
Ghislain BisimwaEcole Régionale de Santé Publique (ERSP), Catholic University of Bukavu, Bukavu, Democratic Republic of Congo.
Jean MacqInstitute of Health and Society (IRSS), Université Catholique de Louvain, Brussels, Belgium.
Université Catholique de Bukavu · CDUniversity of Lubumbashi · CDUCLouvain · BEUniversité Officielle de Bukavu · CD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBiopsychosocial care is one of the approaches recommended in the health system by the WHO. Although efforts are being made on the provider side to implement it and integrate it into the health system, the community dynamic also remains to be taken into account for its support. The objective of this study is to understand the community's perceptions of the concept of integrated health care management according to the biopsychosocial approach (BPS) at the Health Center of a Health District and its evaluation in its implementation.

methodsThis cross-sectional study was done in six Health Areas belonging to four Health Districts in South Kivu, DRC. We conducted 15 semi-directive individual interviews with 9 respondents selected by convenience, including 6 members of the Development Committees of the Health Areas, with whom we conducted 12 interviews and 3 patients met in the health centers. The adapted Normalization MeAsure Development (NoMAD) tool, derived from the Theory of the Normalization Process of Complex Interventions, allowed us to collect data from November 2017 to February 2018, and then from November 2018 to February 2019. After data extraction and synthesis, we conducted a thematic analysis using the NoMAD tool to build a thematic framework. Six themes were grouped into three categories.

resultsInitially, community reports that the BPS approach of integrated care in the Health Centre is understood differently by providers; but then, through collective coordination and integrated leadership within the health care team, the approach becomes clearer. The community encouraged some practices identified as catalysts to help the approach, notably the development of financial autonomy and mutual support, to the detriment of those identified as barriers. According to the community, the BPS model has further strengthened the performance of health workers and should be expanded and sustained.

conclusionsThe results of our study show the importance of community dynamics in the care of biopsychosocial situations by providers. The barriers and catalysts to the mechanism, both community-based and professional, identified in our study should be considered in the process of integrating the biopsychosocial model of person-centered health care.

Indexed as

Delivery of Health Care, IntegratedModels, BiopsychosocialCross-Sectional StudiesDemocratic Republic of the CongoHealth PersonnelHumansBiopsychosocialCommunity participationHealth centerIntegration of carePerceptionsPerson-centered health care

Identifiers

PMID38110919
PMCPMC10726631
OpenAlexW4389869738

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.