Please use this identifier to cite or link to this item: https://cris.library.msu.ac.zw//handle/11408/6660
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dc.contributor.authorJia Wangen_US
dc.contributor.authorKerry L. M. Wongen_US
dc.contributor.authorTope Olubodunen_US
dc.contributor.authorUchenna Gwacham‑Anisiobien_US
dc.contributor.authorOlakunmi Ogunyemien_US
dc.contributor.authorBosede B. Afolabien_US
dc.contributor.authorPeter M. Machariaen_US
dc.contributor.authorPrestige Tatenda Makangaen_US
dc.contributor.authorIbukun‑Oluwa Omolade Abejirindeen_US
dc.contributor.authorLenka Beňováen_US
dc.contributor.authorAduragbemi Banke‑Thomasen_US
dc.date.accessioned2025-07-29T13:49:27Z-
dc.date.available2025-07-29T13:49:27Z-
dc.date.issued2023-
dc.identifier.urihttps://cris.library.msu.ac.zw//handle/11408/6660-
dc.description.abstractBackground Dashboards are increasingly being used in sub-Saharan Africa (SSA) to support health policymaking and governance. However, their use has been mostly limited to routine care, not emergency services like emergency obstetric care (EmOC). To ensure a fit-for-purpose dashboard, we conducted an online survey with policymakers and researchers to understand key considerations needed for developing a policy-ready dashboard of geospatial access to EmOC in SSA. Methods Questionnaires targeting both stakeholder groups were pre-tested and disseminated in English, French, and Portuguese across SSA. We collected data on participants’ awareness of concern areas for geographic accessibility of EmOC and existing technological resources used for planning of EmOC services, the dynamic dashboard features preferences, and the dashboard's potential to tackle lack of geographic access to EmOC. Questions were asked as multiple-choice, Likert-scale, or open-ended. Descriptive statistics were used to summarise findings using frequencies or proportions. Free-text responses were recoded into themes where applicable. Results Among the 206 participants (88 policymakers and 118 researchers), 90% reported that rural areas and 23% that urban areas in their countries were affected by issues of geographic accessibility to EmOC. Five percent of policymakers and 38% of researchers were aware of the use of maps of EmOC facilities to guide planning of EmOC facility location. Regarding dashboard design, most visual components such as location of EmOC facilities had almost universal desirability; however, there were some exceptions. Nearly 70% of policymakers considered the socio-economic status of the population and households relevant to the dashboard. The desirability for a heatmap showing travel time to care was lower among policymakers (53%) than researchers (72%). Nearly 90% of participants considered three to four data updates per year or less frequent updates adequate for the dashboard. The potential usability of a dynamic dashboard was high amongst both policymakers (60%) and researchers (82%). Conclusion This study provides key considerations for developing a policy-ready dashboard for EmOC geographical accessibility in SSA. Efforts should now be targeted at establishing robust estimation of geographical accessibility metrics, integrated with existing health system data, and developing and maintaining the dashboard with up-to-date data to maximise impact in these settings.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofHealth and Technologyen_US
dc.subjectEmergency obstetric careen_US
dc.subjectDigital technologyen_US
dc.subjectEquityen_US
dc.subjectUniversal health coverageen_US
dc.subjectPerinatal healthen_US
dc.titleDeveloping policy‑ready digital dashboards of geospatial access to emergency obstetric care: a survey of policymakers and researchers in sub‑Saharan Africaen_US
dc.typeresearch articleen_US
dc.identifier.doihttps://doi.org/10.1007/s12553-023-00793-9-
dc.contributor.affiliationSchool of Computing & Mathematical Sciences, University of Greenwich, London, UKen_US
dc.contributor.affiliationFaculty of Epidemiology and Population Health, London, School of Hygiene and Tropical Medicine, London, UKen_US
dc.contributor.affiliationDepartment of Community Medicine and Primary Care, Federal Medical Centre Abeokuta, Abeokuta, Ogun, Nigeriaen_US
dc.contributor.affiliationNuffield Department of Population Health, University of Oxford, Oxford, UKen_US
dc.contributor.affiliationLagos State Ministry of Health, Ikeja, Lagos, Nigeriaen_US
dc.contributor.affiliationDepartment of Obstetrics and Gynaecology, College of Medicine of the University of Lagos, Lagos; Nigeria Maternal and Reproductive Health Research Collective, Lagos, Nigeriaen_US
dc.contributor.affiliationPopulation Health Unit, Kenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya; Centre for Health Informatics, Computing, and Statistics, Lancaster Medical School, Lancaster University, Lancaster, UKen_US
dc.contributor.affiliationSurveying and Geomatics Department, Midlands State University, Faculty of Science and Technology, Gweru, Midlands, Zimbabween_US
dc.contributor.affiliationDalla Lana School of Public Health, University of Toronto, Toronto, Canada; Women`s College Hospital Institute for Health System Solutions and Virtual Care, Toronto, Canadaen_US
dc.contributor.affiliationDepartment of Public Health, Institute of Tropical Medicine, Antwerp, Belgiumen_US
dc.contributor.affiliationFaculty of Epidemiology and Population Health, London, School of Hygiene and Tropical Medicine, London, UK; Centre for Health Informatics, Computing, and Statistics, Lancaster Medical School, Lancaster University, Lancaster, UK; School of Human Sciences, University of Greenwich, Old Royal Naval College, Park Row, London SE10 9LS, UKen_US
dc.relation.issn2190-7188en_US
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item.openairetyperesearch article-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
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