Dataset on analysis of quality of health and social insurance subscription in different socio-economic class of workers in selected areas in southwest Nigeria

National social health insurance scheme aims to improve the health of citizens and provide equal access to health care across different income classes. This empirical datasets describes quality of health, insurance subscription, awareness, health care coverage and benefits in different socio-economi...

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Detalles Bibliográficos
Autores principales: Dokunmu, Titilope M., Adjekukor, Cynthia U., Oladejo, David O., Amoo, Emmanuel O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6231042/
https://www.ncbi.nlm.nih.gov/pubmed/30456245
http://dx.doi.org/10.1016/j.dib.2018.10.135
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author Dokunmu, Titilope M.
Adjekukor, Cynthia U.
Oladejo, David O.
Amoo, Emmanuel O.
author_facet Dokunmu, Titilope M.
Adjekukor, Cynthia U.
Oladejo, David O.
Amoo, Emmanuel O.
author_sort Dokunmu, Titilope M.
collection PubMed
description National social health insurance scheme aims to improve the health of citizens and provide equal access to health care across different income classes. This empirical datasets describes quality of health, insurance subscription, awareness, health care coverage and benefits in different socio-economic class of workers in Ota and Lagos, Nigeria. The perception of individual׳s state of health and level of satisfaction of accessed health care are reported and opinions on ways to meet the health needs of workers in a developing country such as Nigeria.
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spelling pubmed-62310422018-11-19 Dataset on analysis of quality of health and social insurance subscription in different socio-economic class of workers in selected areas in southwest Nigeria Dokunmu, Titilope M. Adjekukor, Cynthia U. Oladejo, David O. Amoo, Emmanuel O. Data Brief Neuroscience National social health insurance scheme aims to improve the health of citizens and provide equal access to health care across different income classes. This empirical datasets describes quality of health, insurance subscription, awareness, health care coverage and benefits in different socio-economic class of workers in Ota and Lagos, Nigeria. The perception of individual׳s state of health and level of satisfaction of accessed health care are reported and opinions on ways to meet the health needs of workers in a developing country such as Nigeria. Elsevier 2018-10-29 /pmc/articles/PMC6231042/ /pubmed/30456245 http://dx.doi.org/10.1016/j.dib.2018.10.135 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Neuroscience
Dokunmu, Titilope M.
Adjekukor, Cynthia U.
Oladejo, David O.
Amoo, Emmanuel O.
Dataset on analysis of quality of health and social insurance subscription in different socio-economic class of workers in selected areas in southwest Nigeria
title Dataset on analysis of quality of health and social insurance subscription in different socio-economic class of workers in selected areas in southwest Nigeria
title_full Dataset on analysis of quality of health and social insurance subscription in different socio-economic class of workers in selected areas in southwest Nigeria
title_fullStr Dataset on analysis of quality of health and social insurance subscription in different socio-economic class of workers in selected areas in southwest Nigeria
title_full_unstemmed Dataset on analysis of quality of health and social insurance subscription in different socio-economic class of workers in selected areas in southwest Nigeria
title_short Dataset on analysis of quality of health and social insurance subscription in different socio-economic class of workers in selected areas in southwest Nigeria
title_sort dataset on analysis of quality of health and social insurance subscription in different socio-economic class of workers in selected areas in southwest nigeria
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6231042/
https://www.ncbi.nlm.nih.gov/pubmed/30456245
http://dx.doi.org/10.1016/j.dib.2018.10.135
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