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Spatial inequalities in skilled attendance at birth in Ghana: a multilevel analysis integrating health facility databases with household survey data

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Spatial inequalities in skilled attendance at birth in Ghana: a multilevel analysis integrating health facility databases with household survey data. / Dotse-Gborgbortsi, W.; Tatem, A.J.; Alegana, V. et al.
In: Tropical Medicine and International Health, Vol. 25, No. 9, 01.09.2020, p. 1044-1054.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Dotse-Gborgbortsi, W, Tatem, AJ, Alegana, V, Utazi, CE, Ruktanonchai, CW & Wright, J 2020, 'Spatial inequalities in skilled attendance at birth in Ghana: a multilevel analysis integrating health facility databases with household survey data', Tropical Medicine and International Health, vol. 25, no. 9, pp. 1044-1054. https://doi.org/10.1111/tmi.13460

APA

Dotse-Gborgbortsi, W., Tatem, A. J., Alegana, V., Utazi, C. E., Ruktanonchai, C. W., & Wright, J. (2020). Spatial inequalities in skilled attendance at birth in Ghana: a multilevel analysis integrating health facility databases with household survey data. Tropical Medicine and International Health, 25(9), 1044-1054. https://doi.org/10.1111/tmi.13460

Vancouver

Dotse-Gborgbortsi W, Tatem AJ, Alegana V, Utazi CE, Ruktanonchai CW, Wright J. Spatial inequalities in skilled attendance at birth in Ghana: a multilevel analysis integrating health facility databases with household survey data. Tropical Medicine and International Health. 2020 Sept 1;25(9):1044-1054. Epub 2020 Jul 18. doi: 10.1111/tmi.13460

Author

Dotse-Gborgbortsi, W. ; Tatem, A.J. ; Alegana, V. et al. / Spatial inequalities in skilled attendance at birth in Ghana : a multilevel analysis integrating health facility databases with household survey data. In: Tropical Medicine and International Health. 2020 ; Vol. 25, No. 9. pp. 1044-1054.

Bibtex

@article{e6457e28c2544c00af95b00ed9d21c9a,
title = "Spatial inequalities in skilled attendance at birth in Ghana: a multilevel analysis integrating health facility databases with household survey data",
abstract = "Objective: This study aimed at using survey data to predict skilled attendance at birth (SBA) across Ghana from healthcare quality and health facility accessibility. Methods: Through a cross-sectional, observational study, we used a random intercept mixed effects multilevel logistic modelling approach to estimate the odds of having SBA and then applied model estimates to spatial layers to assess the probability of SBA at high-spatial resolution across Ghana. We combined data from the Demographic and Health Survey (DHS), routine birth registers, a service provision assessment of emergency obstetric care services, gridded population estimates and modelled travel time to health facilities. Results: Within an hour's travel, 97.1% of women sampled in the DHS could access any health facility, 96.6% could reach a facility providing birthing services, and 86.2% could reach a secondary hospital. After controlling for characteristics of individual women, living in an urban area and close proximity to a health facility with high-quality services were significant positive determinants of SBA uptake. The estimated variance suggests significant effects of cluster and region on SBA as 7.1% of the residual variation in the propensity to use SBA is attributed to unobserved regional characteristics and 16.5% between clusters within regions. Conclusion: Given the expansion of primary care facilities in Ghana, this study suggests that higher quality healthcare services, as opposed to closer proximity of facilities to women, is needed to widen SBA uptake and improve maternal health. {\textcopyright} 2020 The Authors Tropical Medicine & International Health Published by John Wiley & Sons Ltd",
keywords = "EmONC, GIS, maternal health, quality care, skilled birth attendance, travel time, adult, article, controlled study, demography, female, Ghana, health survey, household, human, human experiment, human tissue, maternal welfare, multilevel analysis, observational study, primary medical care, probability, secondary care center, travel, urban area",
author = "W. Dotse-Gborgbortsi and A.J. Tatem and V. Alegana and C.E. Utazi and C.W. Ruktanonchai and J. Wright",
year = "2020",
month = sep,
day = "1",
doi = "10.1111/tmi.13460",
language = "English",
volume = "25",
pages = "1044--1054",
journal = "Tropical Medicine and International Health",
issn = "1360-2276",
publisher = "Wiley-Blackwell",
number = "9",

}

RIS

TY - JOUR

T1 - Spatial inequalities in skilled attendance at birth in Ghana

T2 - a multilevel analysis integrating health facility databases with household survey data

AU - Dotse-Gborgbortsi, W.

AU - Tatem, A.J.

AU - Alegana, V.

AU - Utazi, C.E.

AU - Ruktanonchai, C.W.

AU - Wright, J.

PY - 2020/9/1

Y1 - 2020/9/1

N2 - Objective: This study aimed at using survey data to predict skilled attendance at birth (SBA) across Ghana from healthcare quality and health facility accessibility. Methods: Through a cross-sectional, observational study, we used a random intercept mixed effects multilevel logistic modelling approach to estimate the odds of having SBA and then applied model estimates to spatial layers to assess the probability of SBA at high-spatial resolution across Ghana. We combined data from the Demographic and Health Survey (DHS), routine birth registers, a service provision assessment of emergency obstetric care services, gridded population estimates and modelled travel time to health facilities. Results: Within an hour's travel, 97.1% of women sampled in the DHS could access any health facility, 96.6% could reach a facility providing birthing services, and 86.2% could reach a secondary hospital. After controlling for characteristics of individual women, living in an urban area and close proximity to a health facility with high-quality services were significant positive determinants of SBA uptake. The estimated variance suggests significant effects of cluster and region on SBA as 7.1% of the residual variation in the propensity to use SBA is attributed to unobserved regional characteristics and 16.5% between clusters within regions. Conclusion: Given the expansion of primary care facilities in Ghana, this study suggests that higher quality healthcare services, as opposed to closer proximity of facilities to women, is needed to widen SBA uptake and improve maternal health. © 2020 The Authors Tropical Medicine & International Health Published by John Wiley & Sons Ltd

AB - Objective: This study aimed at using survey data to predict skilled attendance at birth (SBA) across Ghana from healthcare quality and health facility accessibility. Methods: Through a cross-sectional, observational study, we used a random intercept mixed effects multilevel logistic modelling approach to estimate the odds of having SBA and then applied model estimates to spatial layers to assess the probability of SBA at high-spatial resolution across Ghana. We combined data from the Demographic and Health Survey (DHS), routine birth registers, a service provision assessment of emergency obstetric care services, gridded population estimates and modelled travel time to health facilities. Results: Within an hour's travel, 97.1% of women sampled in the DHS could access any health facility, 96.6% could reach a facility providing birthing services, and 86.2% could reach a secondary hospital. After controlling for characteristics of individual women, living in an urban area and close proximity to a health facility with high-quality services were significant positive determinants of SBA uptake. The estimated variance suggests significant effects of cluster and region on SBA as 7.1% of the residual variation in the propensity to use SBA is attributed to unobserved regional characteristics and 16.5% between clusters within regions. Conclusion: Given the expansion of primary care facilities in Ghana, this study suggests that higher quality healthcare services, as opposed to closer proximity of facilities to women, is needed to widen SBA uptake and improve maternal health. © 2020 The Authors Tropical Medicine & International Health Published by John Wiley & Sons Ltd

KW - EmONC

KW - GIS

KW - maternal health

KW - quality care

KW - skilled birth attendance

KW - travel time

KW - adult

KW - article

KW - controlled study

KW - demography

KW - female

KW - Ghana

KW - health survey

KW - household

KW - human

KW - human experiment

KW - human tissue

KW - maternal welfare

KW - multilevel analysis

KW - observational study

KW - primary medical care

KW - probability

KW - secondary care center

KW - travel

KW - urban area

U2 - 10.1111/tmi.13460

DO - 10.1111/tmi.13460

M3 - Journal article

VL - 25

SP - 1044

EP - 1054

JO - Tropical Medicine and International Health

JF - Tropical Medicine and International Health

SN - 1360-2276

IS - 9

ER -