Evidence map›Paper›PMID 32972395›Full record

ArticleBMC health services research2020

The effects of changes in distance to nearest health facility on under-5 mortality and health care utilization in rural Malawi, 1980-1998.

John P Quattrochi, Kenneth Hill, Joshua A Salomon, Marcia C Castro

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
13.4field-weighted citation impact, top 1% 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

32 citing papers in PubMed, 73 citations in OpenAlex.

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  3. Antenatal care in Meghalaya - An Uphill Battle: A Community-based Study of Drivers and Barriers of Antenatal Care Utilization.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2026
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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

4 authors at 3 institutions in 1 country.

John P QuattrochiDepartment of Public Health, Simmons University, 300 The Fenway, Boston, MA, 02115, USA. john.quattrochi@simmons.edu.ORCID http://orcid.org/0000-0003-0591-5931
Kenneth HillCenter for Health Policy and Center for Primary Care and Outcomes Research, Stanford University, 615 Crothers Way, Stanford, CA, 94305, USA.
Joshua A SalomonDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA, 02115, USA.
Marcia C CastroDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA, 02115, USA.
Harvard Global Health Institute · USSimmons University · USStanford University · US

Funding

Epidemiology of Infectious Diseases and BiodefenseT32AI007535 · NIAID · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI GRAD, YONATAN H, MURRAY, MEGAN B · 1998 to 2025
$4.8M
NIAID NIH HHS T32 AI007535
6 · The paper itself

Abstract

backgroundDespite important progress, the burden of under-5 mortality remains unacceptably high, with an estimated 5.3 million deaths in 2018. Lack of access to health care is a major risk factor for under-5 mortality, and distance to health care facilities has been shown to be associated with less access to care in multiple contexts, but few such studies have used a counterfactual approach to produce causal estimates.

methodsWe combined retrospective reports on 18,714 births between 1980 and 1998 from the 2000 Malawi Demographic and Health Survey with a 1998 health facility census that includes the date of construction for each facility, including 335 maternity or maternity/dispensary facilities built in rural areas between 1980 and 1998. We estimated associations between distance to nearest health facility and (i) under-5 mortality, using Cox proportional hazards models, and (ii) maternal health care utilization (antenatal visits prior to delivery, place of delivery, receiving skilled assistance during delivery, and receiving a check-up following delivery), using linear probability models. We also estimated the causal effect of reducing the distance to nearest facility on those outcomes, using a two-way fixed effects approach.

findingsWe found that greater distance was associated with higher mortality (hazard ratio 1.007 for one additional kilometer [95%CI 1.001 to 1.014]) and lower health care utilization (for one additional kilometer: 1.2 percentage point (pp) increase in homebirth [95%CI 0.8 to 1.5]; 0.8 pp. decrease in at least three antenatal visits [95% CI - 1.4 to - 0.2]; 1.2 pp. decrease in skilled assistance during delivery [95%CI - 1.6 to - 0.8]). However, we found no effects of a decrease in distance to the nearest health facility on the hazard of death before age 5 years, nor on antenatal visits prior to delivery, place of delivery, or receiving skilled assistance during delivery. We also found that reductions in distance decrease the probability that a woman receives a check-up following delivery (2.4 pp. decrease for a 1 km decrease [95%CI 0.004 to 0.044]).

conclusionReducing under-5 mortality and increasing utilization of care in rural Malawi and similar settings may require more than the construction of new health infrastructure. Importantly, the effects estimated here likely depend on the quality of health care, the availability of transportation, the demand for health services, and the underlying causes of mortality, among other factors.

Indexed as

AdolescentAdultChild MortalityChild, PreschoolDelivery, ObstetricFemaleHealth FacilitiesHealth Services AccessibilityHome ChildbirthHumansInfantInfant MortalityInfant, NewbornMalawiMaternal Health ServicesMiddle AgedDistanceMalawiMaternal healthService availabilityUnder-5 mortalityUtilization

Identifiers

PMID32972395
PMCPMC7517642
OpenAlexW3089122661

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.