Evidence map›Paper›PMID 30387378›Full record

ArticleGlobal health action2018

Ready to deliver maternal and newborn care? Health providers' perceptions of their work context in rural Mozambique.

Sibone Mocumbi, Kevin McKee, Khátia Munguambe, Rogério Chiau, Ulf Högberg, Claudia Hanson, Lars Wallin, Esperança Sevene, Anna Bergström

Open access · goldAbstract read
In one paragraph

Article in Global health action, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
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 5 institutions in 3 countries.

Sibone Mocumbia Department of Obstetrics and Gynaecology, Faculty of Medicine , Universidade Eduardo Mondlane (UEM) , Maputo , Mozambique.ORCID 0000-0002-2475-2560
Kevin McKeec School of Education, Health and Social Studies , Dalarna University , Falun , Sweden.
Khátia Munguambed Department of Public Health , Faculty of Medicine, Universidade Eduardo Mondlane (UEM) , Maputo , Mozambique.ORCID 0000-0003-3888-5126
Rogério Chiaue Centro de Investigação em Saúde de Manhiça (CISM) , Manhiça , Mozambique.
Ulf Högbergb Department of Women's and Children's Health , Uppsala University , Uppsala , Sweden.
Claudia Hansonf Department of Public Health Sciences , Karolinska Institutet , Stockholm , Sweden.
Lars Wallinc School of Education, Health and Social Studies , Dalarna University , Falun , Sweden.
Esperança Sevenee Centro de Investigação em Saúde de Manhiça (CISM) , Manhiça , Mozambique.
Anna Bergströmb Department of Women's and Children's Health , Uppsala University , Uppsala , Sweden.
Uppsala University · SEDalarna University · SEEduardo Mondlane University · MZKarolinska Institutet · SEManhiça Health Research Centre · MZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDeficiencies in the provision of evidence-based obstetric care are common in low-income countries, including Mozambique. Constraints relate to lack of human and financial resources and weak health systems, however limited resources alone do not explain the variance. Understanding the healthcare context ahead of implementing new interventions can inform the choice of strategies to achieve a successful implementation. The Context Assessment for Community Health (COACH) tool was developed to assess modifiable aspects of the healthcare context that theoretically influence the implementation of evidence.

objectivesTo investigate the comprehensibility and the internal reliability of COACH and its use to describe the healthcare context as perceived by health providers involved in maternal care in Mozambique.

methodsA response process evaluation was completed with six purposively selected health providers to uncover difficulties in understanding the tool. Internal reliability was tested using Cronbach's α. Subsequently, a cross-sectional survey using COACH, which contains 49 items assessing eight dimensions, was administered to 175 health providers in 38 health facilities within six districts in Mozambique.

resultsThe content of COACH was clear and most items were understood. All dimensions were near to or exceeded the commonly accepted standard for satisfactory internal reliability (0.70). Analysis of the survey data indicated that items on all dimensions were rated highly, revealing positive perception of context. Significant differences between districts were found for the Work culture, Leadership, and Informal payment dimensions. Responses to many items had low variance and were left-skewed.

conclusionsCOACH was comprehensible and demonstrated good reliability, although biases may have influenced participants' responses. The study suggests that COACH has the potential to evaluate the healthcare context to identify shortcomings and enable the tailoring of strategies ahead of implementation. Supplementing the tool with qualitative approaches will provide an in-depth understanding of the healthcare context.

Indexed as

Attitude of Health PersonnelAdultCross-Sectional StudiesDeveloping CountriesFamilyFemaleHumansLeadershipMaternal Health ServicesMozambiqueOrganizational CulturePerceptionPregnancyReproducibility of ResultsSurveys and QuestionnairesWorkplaceContext assessmenthealth personnelimplementation sciencematernal and neonatal carevalidity

Identifiers

PMID30387378
PMCPMC6225433
OpenAlexW2898666219

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.