wow-inequalities/02-data/intermediate/wos_sample/788fbc9dbc077c35a6442cc14d864f35-ouko-jacob-joseph-o/info.yaml

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2023-09-28 14:46:10 +00:00
abstract: 'Maternal mortality is a major problem in middle-income and low-income
countries, and the availability and accessibility of healthcare
facilities offering safe delivery is important in averting maternal
deaths. Siaya County, in Kenya, has one of the highest maternal
mortality rates in the country-far more than the national average. This
study aimed to evaluate geographic access to health facilities offering
delivery services in Siaya County. A mixed-methods approach
incorporating geographic information system analysis and individual data
from semi-structured interviews was used to derive travel time maps to
facilities using different travel scenarios: AccessMod5 and ArcGIS were
used for these tasks. The derived maps were then linked to georeferenced
household survey data in a multilevel logistic regression model in R to
predict the probability of expectant women delivering in a health
facility. Based on the derived travel times, 26 per cent (13,140) and 67
per cent (32,074) of the estimated 46,332 pregnant women could reach any
facility within one and two hours, respectively, while walking with the
percentage falling to seven per cent (3,415) and 20 per cent (8,845)
when considering referral facilities. Motorised transport significantly
increased coverage. The findings revealed that the predicted probability
of a pregnant woman delivering in a health facility ranged between 0.14
and 0.86. Significant differences existed in access levels with
transportation-based interventions significantly increasing coverage.
The derived maps can help health policy planners identify underserved
areas and monitor future reductions in inequalities. This work has
theoretical implications for conceptualising healthcare accessibility
besides advancing the literature on mixed methodologies.'
affiliation: 'Ouko, JJO (Corresponding Author), Kenya Govt Med Res Ctr, Wellcome Trust
Res Programme, Populat Hlth Unit, POB 43640-00100, Nairobi, Kenya.
Ouko, Jacob Joseph Ochieng; Gachari, Moses Karoki; Sichangi, Arthur Wafula, Kenya
Govt Med Res Ctr, Wellcome Trust Res Programme, Populat Hlth Unit, POB 43640-00100,
Nairobi, Kenya.
Alegana, Victor, Univ Southampton, Geog \& Environm Sci, Highfield Campus, Southampton
SO17 1BJ, Hants, England.'
author: Ouko, Jacob Joseph Ochieng and Gachari, Moses Karoki and Sichangi, Arthur
Wafula and Alegana, Victor
author-email: oukojacob1@gmail.com
author_list:
- family: Ouko
given: Jacob Joseph Ochieng
- family: Gachari
given: Moses Karoki
- family: Sichangi
given: Arthur Wafula
- family: Alegana
given: Victor
da: '2023-09-28'
doi: 10.1111/1745-5871.12339
eissn: 1745-5871
files: []
issn: 1745-5863
journal: GEOGRAPHICAL RESEARCH
keywords: 'maternal health; geographic information systems; travel times;
healthcare access; multilevel modelling; Kenya'
keywords-plus: SERVICES; ACCESS; CARE
language: English
month: AUG
number: '3'
number-of-cited-references: '30'
orcid-numbers: 'Sichangi, Arthur/0000-0001-6266-8741
Alegana, Victor/0000-0001-5177-9227'
pages: 286-298
papis_id: 6dbc3dd1662713556297b63d67a8456d
ref: Ouko2019geographicinformatio
researcherid-numbers: 'Sichangi, Arthur/Y-6599-2019
Alegana, Victor/P-6579-2019'
times-cited: '13'
title: Geographic information system-based evaluation of spatial accessibility to
maternal health facilities in Siaya County, Kenya
2023-10-01 08:15:07 +00:00
type: article
2023-09-28 14:46:10 +00:00
unique-id: WOS:000482408800007
usage-count-last-180-days: '2'
usage-count-since-2013: '10'
volume: '57'
web-of-science-categories: Geography
year: '2019'