Add wos sample results library

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

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+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
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+  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
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+  theoretical implications for conceptualising healthcare accessibility
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+  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
+type: Article
+unique-id: WOS:000482408800007
+usage-count-last-180-days: '2'
+usage-count-since-2013: '10'
+volume: '57'
+web-of-science-categories: Geography
+year: '2019'