Evidence map›Paper›PMID 35351147›Full record

Trial reportHuman resources for health2022

Impact of reliable light and electricity on job satisfaction among maternity health workers in Uganda: A cluster randomized trial.

Wei Chang, Jessica Cohen, Brian Mwesigwa, Peter Waiswa, Slawa Rokicki

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Human resources for health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03589625 (Evaluation of the Impact of the 'Solar Suitcase' Installation in Healthcare Facilities in Uganda on Quality of Care During Labor and Delivery and Reliability of Electricity), which is not on this map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT03589625 nacompletednot on this map

Evaluation of the Impact of the 'Solar Suitcase' Installation in Healthcare Facilities in Uganda on Quality of Care During Labor and Delivery and Reliability of Electricity

TypeinterventionalSponsorHarvard School of Public Health (HSPH)Ran2018 to 2020Enrolled1,268ConditionsQuality of CareArmsSolar Suitcase
3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. 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

5 authors.

Wei ChangHarvard T.H. Chan School of Public Health, 90 Smith St, 3rd Floor, Boston, MA, 02120, United States of America. wei_chang@hsph.harvard.edu.ORCID 0000-0002-2949-269X
Jessica CohenHarvard T.H. Chan School of Public Health, 90 Smith St, 3rd Floor, Boston, MA, 02120, United States of America.
Brian MwesigwaInnovations for Poverty Action, Kampala, Uganda.
Peter WaiswaSchool of Public Health, Makerere University, Kampala, Uganda.
Slawa RokickiRutgers School of Public Health, Piscataway, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaintaining a motivated health workforce is critical to health system effectiveness and quality of care. Scant evidence exists on whether interventions aimed to strengthen health infrastructure in low-resource settings affect health workers. This study evaluated the impact of an intervention providing solar light and electricity to rural maternity facilities in Uganda on health workers' job satisfaction.

methodsWe used a mixed-methods design embedded in a cluster randomized trial to evaluate whether and how the We Care Solar Suitcase intervention, a solar electric system providing lighting and power, affected health workers in rural Ugandan maternity facilities with unreliable light. Facilities were randomly assigned to receive the intervention or not without blinding in a cluster-randomized controlled trial. Outcomes were assessed through two rounds of surveys with health workers. We used regression analyses to examine the intervention's impact on job satisfaction. We used an inductive approach to analyze qualitative data to understand the study context and interpret quantitative findings.

resultsWe interviewed 85 health workers across 30 facilities, the majority of whom were midwives or nurses. Qualitative reports indicated that unreliable light made it difficult to provide care, worsened facility conditions, and harmed health workers and patients. Before the intervention, only 4% of health workers were satisfied with their access to light and electricity. After the installation, satisfaction with light increased by 76 percentage points [95% confidence interval (CI): 61-92 percentage points], although satisfaction with electricity did not change. Experience of negative impacts of lack of overhead light also significantly decreased and the intervention modestly increased job satisfaction. Qualitative evidence illustrated how the intervention may have strengthened health workers' sense of job security and confidence in providing high-quality care while pointing towards implementation challenges and other barriers health workers faced.

conclusionsReliable access to light and electricity directly affects health workers' ability to provide maternal and neonatal care and modestly improves job satisfaction. Policy makers should invest in health infrastructure as part of multifaceted policy strategies to strengthen human resources for health and to improve maternal and newborn health services. Trial registration socialscienceregistry.org: AEARCTR-0003078. Registered June 12, 2018, https://www.socialscienceregistry.org/trials/3078 Additionally registered on: ClinicalTrials.gov: NCT03589625, Registered July 18, 2018, https://clinicaltrials.gov/ct2/show/NCT03589625 ).

Indexed as

Health WorkforceJob SatisfactionElectricityFemaleHealth PersonnelHumansInfant, NewbornPregnancyUgandaElectricity and lightJob satisfactionMaternal and newborn healthMixed-methodsSolar energyUganda

Identifiers

PMID35351147
PMCPMC8966259

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Registered trials

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.