Evidence map›Paper›PMID 42752229›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

Assessing the impacts of sufficient and reliable electricity in low-resource healthcare facilities.

Ryan McCord, Samuel B Miles, Jackson M Mughuma, Daniel M Kammen, Laura H Kwong

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ryan McCordSanford School of Public Policy, Duke University, Durham, NC 27708.ORCID 0000-0002-9373-872X
Samuel B MilesRalph O'Conner Sustainable Energy Institute, Johns Hopkins University, Baltimore, MD 21218.
Jackson M MughumaResearch Centre for Humanitarian Aid, North Kivu, Democratic Republic of Congo.
Daniel M KammenRalph O'Conner Sustainable Energy Institute, Johns Hopkins University, Baltimore, MD 21218.ORCID 0000-0003-2984-7777
Laura H KwongDivision of Environmental Health Sciences, School of Public Health, University of California Berkeley, Berkeley, CA 94720.

Funding

The James and Katherine Lau Foundation 1--49119-15312-44-3DCFAC-EVDMKThe Karsten Family Foundation 1--48306-15312-44--EVDMKThe Link Foundation | Link Foundation Energy Fellowships (Link Foundation) N/AThe Zaffaroni Family Foundation N/A
6 · The paper itself

Abstract

Health systems across sub-Saharan Africa often lack the electricity needed for lighting, medical, diagnostic, and sterilization equipment, and refrigeration. More than one billion people globally rely on facilities with no electricity or a highly unreliable supply. Using survey data, sensor data, and monthly health system records from 303 facilities across three provinces of the Democratic Republic of the Congo, we provide estimates of the impact of having sufficient and reliable power on inpatient mortality rates, patient utilization rates, and staffing. Using longitudinal targeted maximum likelihood estimation and two-way fixed effects models, we find that facilities with sufficient and reliable power ([Formula: see text]22 h of power/day) experience a 41% reduction in mortality (a 1.8 percentage point reduction from control facilities, where mortality rates average 4.5%). For a subset of facilities where we measure reliability over time, we find that during months where the uptime [Formula: see text]22 h/d, mortality rates are 1.8 percentage points lower, suggesting that sustaining reliable power is also important. In facilities with reliable power there is also a 17% increase in the number of outpatients and a 24% increase in the number of days nurses work. Our results underscore the critical role of electricity as a foundational health system input with large impacts on patient survival and service quality, and demonstrate the potential of low-cost survey tools for capturing reliability in data-scarce settings.

Indexed as

ElectricityHealth FacilitiesHealth ResourcesDemocratic Republic of the CongoHumansResource-Limited SettingsAfricadevelopmentenergyhealth

Identifiers

PMID42752229
PMCPMC13598207

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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.