Evidence map›Paper›PMID 28820340›Full record

ArticleGlobal health action2017

Effect of support supervision on maternal and newborn health services and practices in Rural Eastern Uganda.

Angela N Kisakye, Rornald Muhumuza Kananura, Elizabeth Ekirapa-Kiracho, John Bua, Martha Akulume, Gertrude Namazzi, Suzanne Namusoke Kiwanuka

Abstract read
In one paragraph

Article in Global health action, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Trial
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  7. Effectiveness of dissemination strategies of maternal clinical guidelines: A narrative review.African journal of primary health care & family medicine · 2024
    Review
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  17. Factors that influence ethical competence among nurses in health facilities in Malawi.Malawi medical journal : the journal of Medical Association of Malawi · 2021
    Article
  18. Article
  19. Article
  20. 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

7 authors.

Angela N Kisakyea Department of Health Policy, Planning and Management , Makerere University School of Public Health , Kampala , Uganda.
Rornald Muhumuza Kananuraa Department of Health Policy, Planning and Management , Makerere University School of Public Health , Kampala , Uganda.
Elizabeth Ekirapa-Kirachoa Department of Health Policy, Planning and Management , Makerere University School of Public Health , Kampala , Uganda.ORCID http://orcid.org/0000-0001-6938-2068
John Buaa Department of Health Policy, Planning and Management , Makerere University School of Public Health , Kampala , Uganda.ORCID http://orcid.org/0000-0002-7658-0115
Martha Akulumea Department of Health Policy, Planning and Management , Makerere University School of Public Health , Kampala , Uganda.
Gertrude Namazzia Department of Health Policy, Planning and Management , Makerere University School of Public Health , Kampala , Uganda.ORCID http://orcid.org/0000-0003-1239-8311
Suzanne Namusoke Kiwanukaa Department of Health Policy, Planning and Management , Makerere University School of Public Health , Kampala , Uganda.ORCID http://orcid.org/0000-0003-4729-4897

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSupport supervision is one of the strategies used to check the quality of services provided at health facilities. From 2013 to 2015, Makerere University School of Public Health strengthened support supervision in the district of Kibuku, Kamuli and Pallisa in Eastern Uganda to improve the quality of maternal and newborn services.

objectiveThis article assesses quality improvements in maternal and newborn care services and practices during this period.

methodsDistrict management teams were trained for two days on how to conduct the supportive supervision. Teams were then allocated particular facilities, which they consistently visited every quarter. During each visit, teams scored the performance of each facility based on checklists; feedback and corrective actions were implemented. Support supervision focused on maternal health services, newborn care services, human resources, laboratory services, availability of Information, education and communication materials and infrastructure. Support supervision reports and checklists from a total of 28 health facilities, each with at least three support supervision visits, were analyzed for this study and 20 key-informant interviews conducted.

resultsThere was noticeable improvement in maternal and newborn services. For instance, across the first, second and third quarters, availability of parenteral oxytocin increased from 57% to 75% and then to 82%. Removal of retained products increased from 14% to 50% to 54%, respectively. There was perceived improvement in the use of standards and guidelines for emergency obstetric care and quality of care provided. Qualitatively, three themes were identified that promote the success of supportive supervision: changes in the support supervision style, changes in the adherence to clinical standards and guidelines, and multi-stakeholder engagement.

conclusionSupport supervision helped district health managers to identify and address maternal and newborn service-delivery gaps. However, issues beyond the jurisdiction of district health managers and facility managers may require additional interventions beyond supportive supervision.

Indexed as

FamilyFemaleGuideline AdherenceHumansInfant HealthInfant, NewbornMaternal Health ServicesPractice Guidelines as TopicPregnancyQuality ImprovementQuality of Health CareRural Health ServicesUgandahealth workershuman resourceimplementation sciencematernal and newborn servicesSupport supervision

Identifiers

PMID28820340
PMCPMC5645662

What OpenQuestion holds

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LicenceCC BY
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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.