Evidence map›Paper›PMID 39153750›Full record

ArticleBMJ global health2024

Determinants of translating routine health information system data into action in Mozambique: a qualitative study.

Nami Kawakyu, Celso Inguane, Quinhas Fernandes, Artur Gremu, Florencia Floriano, Nelia Manaca, Isaías Ramiro, Priscilla Felimone, Jeremias Armindo Azevedo Alfandega, Xavier Alcides Isidor and 4 more

Abstract read
In one paragraph

Article in BMJ global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
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

14 authors.

Nami KawakyuDepartment of Global Health, University of Washington, Seattle, Washington, USA nkawakyu@uw.edu.ORCID http://orcid.org/0000-0002-6591-2057
Celso InguaneDepartment of Global Health, University of Washington, Seattle, Washington, USA.
Quinhas FernandesDepartment of Global Health, University of Washington, Seattle, Washington, USA.ORCID http://orcid.org/0000-0002-1539-0967
Artur GremuComité para Saúde de Moçambique, Chimoio, Mozambique.
Florencia FlorianoComité para Saúde de Moçambique, Beira, Mozambique.
Nelia ManacaComité para Saúde de Moçambique, Beira, Mozambique.
Isaías RamiroComité para Saúde de Moçambique, Beira, Mozambique.
Priscilla FelimoneServiços Provincias de Saúde, Sofala, Mozambique.
Jeremias Armindo Azevedo AlfandegaServiços Distritais de Saúde, Mulher e Acção Social, Sofala, Mozambique.
Xavier Alcides IsidorServiços Provincias de Saúde, Manica, Mozambique.
Santana Mário MissageServiços Distritais de Saúde, Mulher e Acção Social, Manica, Mozambique.
Bradley H WagenaarDepartment of Global Health, University of Washington, Seattle, Washington, USA.
Kenneth SherrDepartment of Global Health, University of Washington, Seattle, Washington, USA.ORCID http://orcid.org/0000-0002-2963-0829
Sarah GimbelDepartment of Global Health, University of Washington, Seattle, Washington, USA.

Funding

Spreading the Integrated District Evidence-to-Action Program for Neonatal Mortality Reduction (IDEAs) in MozambiqueR01HD092449 · NICHD · UNIVERSITY OF WASHINGTON · PI FERNANDES, QUINHAS, SHERR, KENNETH · 2018 to 2022
$2.8M
NICHD NIH HHS R01 HD092449
6 · The paper itself

Abstract

introductionRoutine health information systems (RHISs) are an essential source of data to inform decisions and actions around health facility performance, but RHIS data use is often limited in low and middle-income country contexts. Determinants that influence RHIS data-informed decisions and actions are not well understood, and few studies have explored the relationship between RHIS data-informed decisions and actions.

methodsThis qualitative thematic analysis study explored the determinants and characteristics of successful RHIS data-informed actions at the health facility level in Mozambique and which determinants were influenced by the Integrated District Evidence to Action (IDEAs) strategy. Two rounds of qualitative data were collected in 2019 and 2020 through 27 in-depth interviews and 7 focus group discussions with provincial, district and health facility-level managers and frontline health workers who participated in the IDEAs enhanced audit and feedback strategy. The Performance of Routine Information System Management-Act framework guided the development of the data collection tools and thematic analysis.

resultsKey behavioural determinants of translating RHIS data into action included health worker understanding and awareness of health facility performance indicators coupled with health worker sense of ownership and responsibility to improve health facility performance. Supervision, on-the-job support and availability of financial and human resources were highlighted as essential organisational determinants in the development and implementation of action plans. The forum to regularly meet as a group to review, discuss and monitor health facility performance was emphasised as a critical determinant by study participants.

conclusionFuture data-to-action interventions and research should consider contextually feasible ways to support health facility and district managers to hold regular meetings to review, discuss and monitor health facility performance as a way to promote translation of RHIS data to action.

Indexed as

Health Information SystemsQualitative ResearchFocus GroupsHealth FacilitiesHealth PersonnelHumansMozambiqueDecision MakingGlobal HealthHealth services researchHealth systems evaluationQualitative study

Identifiers

PMID39153750
PMCPMC11331841

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.