Evidence map›Paper›PMID 35523451›Full record

ArticleBMJ global health2022

Comparing modelled with self-reported travel time and the used versus the nearest facility: modelling geographic accessibility to family planning outlets in Kenya.

Paul Bouanchaud, Peter M Macharia, Eden G Demise, Doreen Nakimuli, CM4FP Group

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In one paragraph

Article in BMJ global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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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

13 citing papers in PubMed.

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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

5 authors.

Paul BouanchaudStrategy & Insights, Population Services International, Washington, DC, USA p.bouanchaud@outlook.com.ORCID 0000-0002-8920-8742
Peter M MachariaPopulation Health Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.ORCID 0000-0003-3410-1881
Eden G DemiseSRH, Population Services International, Washington, DC, USA.
Doreen NakimuliStrategic Information & Learning, Population Services International, Kampala, Uganda.
CM4FP Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGeographic access to family planning (FP) services has been characterised through a variety of proximity metrics. However, there is little evidence on the validity of women's self-reported compared with modelled travel time to an FP outlet, or between different distance measures.

methodsWe used data from four urban sites in Kenya. A longitudinal FP outlet census was directly linked with data from cross-sectional FP user surveys. We combined characteristics of outlet visited to obtain FP, transport mode, self-reported travel time and location of households and outlets with data on road networks, elevation, land use and travel barriers within a cost-distance algorithm to compute modelled travel time, route and Euclidean distance between households and outlets. We compared modelled and self-reported travel times, Euclidean and route distances and the use of visited versus nearest facility.

results931 contraceptive users were directly linked to their FP source. Self-reported travel times were consistently and significantly higher than modelled times, with greater differences for those using vehicles rather than walking. Modelled and Euclidean distances were similar in the four geographies. 20% of women used their nearest FP outlet while 52% went to their nearest outlet when conditional on it offering their most recently used FP method.

conclusionIn urban areas with high facility density and good road connectivity, over half of FP users visited their nearest outlet with their chosen method available. In these settings, Euclidean distances were sufficient to characterise geographic proximity; however, reported and modelled travel times differed across all sites.

Indexed as

Family Planning ServicesHealth Services AccessibilityCross-Sectional StudiesFemaleHumansKenyaSelf Reporthealth policymedical demographyother study designpublic health

Identifiers

PMID35523451
PMCPMC9083396

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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.