Evidence map›Paper›PMID 37208141›Full record

ArticleBMJ open2023

Effects of primary healthcare reform on routine health information systems (RHISs): a mixed-methods study in Lesotho.

Ermyas Birru, Melino Ndayizigiye, Ryan McBain, Mathabang Mokoena, Masebeo Koto, Orvalho Augusto, Edinah Casmir, Nancy Puttkammer, Joia Mukherjee

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.0field-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

3 citing papers in PubMed, 8 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 5 institutions in 4 countries.

Ermyas BirruDepartment of Global Health, University of Washington, Seattle, Washington, USA ermyab@uw.edu.ORCID 0000-0001-9393-2533
Melino NdayizigiyePartners In Health Lesotho, Maseru, Lesotho.
Ryan McBainPartners In Health, Boston, Massachusetts, USA.
Mathabang MokoenaPartners In Health Lesotho, Maseru, Lesotho.
Masebeo KotoMinistry of Health, Maseru, Lesotho.
Orvalho AugustoDepartment of Global Health, University of Washington, Seattle, Washington, USA.
Edinah CasmirDepartment of Global Health, University of Washington, Seattle, Washington, USA.
Nancy PuttkammerDepartment of Global Health, University of Washington, Seattle, Washington, USA.ORCID 0000-0002-6693-9278
Joia MukherjeePartners In Health, Boston, Massachusetts, USA.
Partners In Health · USUniversity of Washington · USBrigham and Women's Hospital · USEduardo Mondlane University · MZMinistry of Health · LS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveThe Ministry of Health of Lesotho and Partners In Health piloted the Lesotho National Primary Health Care Reform (LPHCR) from July 2014 to June 2017 to improve quality and quantity of service delivery and enhance health system management. This initiative included improvement of routine health information systems (RHISs) to map disease burden and reinforce data utilisation for clinical quality improvement. METHODS AND ANALYSIS: The WHO Data Quality Assurance framework's core indicators were used to compare the completeness of health data before versus after the LPHCR in 60 health centres and 6 hospitals across four districts. To examine change in data completeness, we conducted an interrupted time series analysis using multivariable logistic mixed-effects regression. Additionally, we conducted 25 key informant interviews with healthcare workers (HCWs) at the different levels of Lesotho's health system, following a purposive sampling approach. Interviews were analysed using deductive coding based on the Performance of Routine Information System Management framework, which inspected organisational, technical and behavioural factors influencing RHIS processes and outputs associated with the LPHCR.

resultsIn multivariable analyses, trends in monthly data completion rate were higher after versus before the LPHCR for: documenting first antenatal care visit (adjusted OR (AOR): 1.24, 95% CI: 1.14 to 1.36) and institutional delivery (AOR: 1.19, 95% CI: 1.07 to 1.32). When discussing processes, HCWs highlighted the value of establishing clear roles and responsibilities in reporting under a new organisational structure, improved community programmes among district health management teams, and enhanced data sharing and monitoring by districts.

conclusionThe Ministry of Health had a strong data completion rate pre-LPHCR, which was sustained throughout the LPHCR despite increased service utilisation. The data completion rate was optimised through improved behavioural, technical and organisational factors introduced as part of the LPHCR.

Indexed as

Health Information SystemsFemaleHealth Care ReformHospitalsHumansLesothoPregnancyQuality Improvementhealth services administration & managementinternational health servicesorganisation of health servicesprimary care

Identifiers

PMID37208141
PMCPMC10201246
OpenAlexW4377138770

What OpenQuestion holds

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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.