Evidence map›Paper›PMID 32397969›Full record

ArticleBMC pregnancy and childbirth2020

Geographical accessibility in assessing bypassing behaviour for inpatient neonatal care, Bungoma County-Kenya.

Ian A Ocholla, Nathan O Agutu, Paul O Ouma, Daniel Gatungu, Felistas O Makokha, Jesse Gitaka

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

20 citing papers in PubMed.

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  11. Present and Future Drinking Water Security and Its Impacts on Maternities: A Multi-Scale Assessment of Sudan.International journal of environmental research and public health · 2023
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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

6 authors.

Ian A OchollaDepartment of Geomatics Engineering and Geospatial Information System, Jomo Kenyatta University of Agriculture and Technology, P.O. Box 62000-00100, Nairobi, Kenya.
Nathan O AgutuDepartment of Geomatics Engineering and Geospatial Information System, Jomo Kenyatta University of Agriculture and Technology, P.O. Box 62000-00100, Nairobi, Kenya.
Paul O OumaDepartment of Geomatics Engineering and Geospatial Information System, Jomo Kenyatta University of Agriculture and Technology, P.O. Box 62000-00100, Nairobi, Kenya.
Daniel GatunguResearch and Innovation Directorate, Mount Kenya University, P.O. Box 342-01000, Thika, Kenya.
Felistas O MakokhaBungoma County Ministry of Health, P.O. Box 14-50200, Bungoma, Kenya.
Jesse GitakaResearch and Innovation Directorate, Mount Kenya University, P.O. Box 342-01000, Thika, Kenya. jgitaka@mku.ac.ke.ORCID http://orcid.org/0000-0001-7516-522X

Funding

County Innovation Challenge Fund (CICF) CICF-INN-R1-GA 004
6 · The paper itself

Abstract

backgroundNeonatal mortality rate in Kenya continues to be unacceptably high. In reducing newborn deaths, inequality in access to care and quality care have been identified as current barriers. Contributing to these barriers are the bypassing behaviour and geographical access which leads to delay in seeking newborn care. This study (i) measured geographical accessibility of inpatient newborn care, and (ii), characterized bypassing behaviour using the geographical accessibility of the inpatient newborn care seekers.

methodsGeographical accessibility to the inpatient newborn units was modelled based on travel time to the units across Bungoma County. Data was then collected from 8 inpatient newborn units and 395 mothers whose newborns were admitted in the units were interviewed. Their spatial residence locations were geo-referenced and were used against the modelled travel time to define bypassing behaviour.

resultsApproximately 90% of the sick newborn population have access to nearest newborn units (< 2 h). However, 36% of the mothers bypassed their nearest inpatient newborn facility, with lack of diagnostic services (28%) and distrust of health personnel (37%) being the major determinants for bypassing. Approximately 75% of the care seekers preferred to use the higher tier facilities for both maternal and neonatal care in comparison to sub-county facilities which mostly were bypassed and remained underutilised.

conclusionOur findings suggest that though majority of the population have access to care, sub-county inpatient newborn facilities have high risk of being bypassed. There is need to improve quality of care in maternal care, to reduce bypassing behaviour and improving neonatal outcome.

Indexed as

AdultFemaleGeographic Information SystemsGeographyHealth FacilitiesHealth Services AccessibilityHumansInfantInfant CareInfant MortalityInfant, NewbornKenyaMaternal Health ServicesPatient Acceptance of Health CareSpatial AnalysisYoung AdultBypassing behaviourGeographical accessibilityNeonatal

Identifiers

PMID32397969
PMCPMC7216545

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LicenceCC BY
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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.