Evidence map›Paper›PMID 29297410›Full record

ArticleHealth research policy and systems2017

Participatory monitoring and evaluation approaches that influence decision-making: lessons from a maternal and newborn study in Eastern Uganda.

Rornald Muhumuza Kananura, Elizabeth Ekirapa-Kiracho, Ligia Paina, Ahmed Bumba, Godfrey Mulekwa, Dinah Nakiganda-Busiku, Htet Nay Lin Oo, Suzanne Namusoke Kiwanuka, Asha George, David H Peters

Abstract read
In one paragraph

Article in Health research policy and systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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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

10 authors.

Rornald Muhumuza KananuraDepartment of Health Policy Planning and Management, Makerere University School of Public Health, Kampala, Uganda. mk.rornald@musph.ac.ug.
Elizabeth Ekirapa-KirachoDepartment of Health Policy Planning and Management, Makerere University School of Public Health, Kampala, Uganda.
Ligia PainaDepartment of International Health, Johns Hopkins University School of Public Health, Baltimore, MD, United States of America.
Ahmed BumbaDistrict Health Office, Kibuku District Local Government, Kampala, Uganda.
Godfrey MulekwaDistrict Health Office, Pallisa District Health Office, Kampala, Uganda.
Dinah Nakiganda-BusikuDistrict Health Office, Kamuli District Health Office, Kampala, Uganda.
Htet Nay Lin OoDepartment of International Health, Johns Hopkins University School of Public Health, Baltimore, MD, United States of America.
Suzanne Namusoke KiwanukaDepartment of Health Policy Planning and Management, Makerere University School of Public Health, Kampala, Uganda.
Asha GeorgeDepartment of International Health, Johns Hopkins University School of Public Health, Baltimore, MD, United States of America.
David H PetersDepartment of International Health, Johns Hopkins University School of Public Health, Baltimore, MD, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of participatory monitoring and evaluation (M&E) approaches is important for guiding local decision-making, promoting the implementation of effective interventions and addressing emerging issues in the course of implementation. In this article, we explore how participatory M&E approaches helped to identify key design and implementation issues and how they influenced stakeholders' decision-making in eastern Uganda.

methodThe data for this paper is drawn from a retrospective reflection of various M&E approaches used in a maternal and newborn health project that was implemented in three districts in eastern Uganda. The methods included qualitative and quantitative M&E techniques such as  key informant interviews, formal surveys and supportive supervision, as well as participatory approaches, notably participatory impact pathway analysis.

resultsAt the design stage, the M&E approaches were useful for identifying key local problems and feasible local solutions and informing the activities that were subsequently implemented. During the implementation phase, the M&E approaches provided evidence that informed decision-making and helped identify emerging issues, such as weak implementation by some village health teams, health facility constraints such as poor use of standard guidelines, lack of placenta disposal pits, inadequate fuel for the ambulance at some facilities, and poor care for low birth weight infants. Sharing this information with key stakeholders prompted them to take appropriate actions. For example, the sub-county leadership constructed placenta disposal pits, the district health officer provided fuel for ambulances, and health workers received refresher training and mentorship on how to care for newborns.

conclusionDiverse sources of information and perspectives can help researchers and decision-makers understand and adapt evidence to contexts for more effective interventions. Supporting districts to have crosscutting, routine information generating and sharing platforms that bring together stakeholders from different sectors is therefore crucial for the successful implementation of complex development interventions.

Indexed as

Community-Based Participatory ResearchDecision MakingHealth Services ResearchMaternal Health ServicesQuality ImprovementStakeholder ParticipationTranslational Research, BiomedicalCommunity ParticipationFemaleHealth FacilitiesHumansInfant HealthInfant, NewbornMaternal HealthPregnancyRetrospective StudiesDecision-makingImplementation researchMaternal and newborn healthParticipatory monitoring and evaluationStakeholders

Identifiers

PMID29297410
PMCPMC5751403

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.