Cargando…

Population indices measuring health outcomes: A scoping review

BACKGROUND: Population health indices such as disability adjusted life years (DALY) and quality adjusted life years (QALY) are often used in an effort to measure health of populations and identify areas of concern that require interventions. There has been an increase of number of population health...

Descripción completa

Detalles Bibliográficos
Autores principales: Ashraf, Khalid, Ng, Chirk Jenn, Teo, Chin Hai, Goh, Kim Leng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Edinburgh University Global Health Society 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6344069/
https://www.ncbi.nlm.nih.gov/pubmed/30701069
http://dx.doi.org/10.7189/jogh.09.010405
_version_ 1783389376585138176
author Ashraf, Khalid
Ng, Chirk Jenn
Teo, Chin Hai
Goh, Kim Leng
author_facet Ashraf, Khalid
Ng, Chirk Jenn
Teo, Chin Hai
Goh, Kim Leng
author_sort Ashraf, Khalid
collection PubMed
description BACKGROUND: Population health indices such as disability adjusted life years (DALY) and quality adjusted life years (QALY) are often used in an effort to measure health of populations and identify areas of concern that require interventions. There has been an increase of number of population health indices since the last review published more than a decade ago. Therefore, this study aims to provide an overview of existing population health indices and examine the methods used to develop them. METHODS: The search was conducted across three databases: PubMed, CINAHL and Emerald using four key concepts: ‘health’, ‘index’, ‘context’, ‘develop’, which was supplemented with Google searching and reference scanning. A researcher screened the titles, abstracts and subsequently full texts and confirmed the findings with the research team at each stage. Data charting was performed according to the included publications and identified indices. The collation was performed by describing the indices and made observation on its development method using a priori framework consist of four processes: underpinning theory, model or framework; data selection and processing; formation of index; testing of index. RESULTS: Twenty-six publications describing population health indices were included, and 27 indices were identified. These indices covered the following health topics: overall health outcomes (n = 15), outcomes for specific health topics (n = 4), diseases outcome (n = 6), assist health resource allocation for priority minority subgroup or geographic area (n = 4), quality of health or health care (n = 2). Twenty-one indices measure health for general populations while six measure defined subpopulations. Fourteen of the indices reported at least one of the development processes according to the a priori framework: underpinning theory, model or framework (n = 7); data selection and processing (n = 8); formation of index (n = 12); testing of index (n = 9). CONCLUSIONS: Few population health indices measure specific health topics or health of specific sub-population. There is also a lack of usage of theories, models or framework in developing these indices. Efforts to develop a guideline is proposed on how population health indices can be developed systematically and rigorously to ensure validity and comprehensive assessment of the indices.
format Online
Article
Text
id pubmed-6344069
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Edinburgh University Global Health Society
record_format MEDLINE/PubMed
spelling pubmed-63440692019-01-30 Population indices measuring health outcomes: A scoping review Ashraf, Khalid Ng, Chirk Jenn Teo, Chin Hai Goh, Kim Leng J Glob Health Articles BACKGROUND: Population health indices such as disability adjusted life years (DALY) and quality adjusted life years (QALY) are often used in an effort to measure health of populations and identify areas of concern that require interventions. There has been an increase of number of population health indices since the last review published more than a decade ago. Therefore, this study aims to provide an overview of existing population health indices and examine the methods used to develop them. METHODS: The search was conducted across three databases: PubMed, CINAHL and Emerald using four key concepts: ‘health’, ‘index’, ‘context’, ‘develop’, which was supplemented with Google searching and reference scanning. A researcher screened the titles, abstracts and subsequently full texts and confirmed the findings with the research team at each stage. Data charting was performed according to the included publications and identified indices. The collation was performed by describing the indices and made observation on its development method using a priori framework consist of four processes: underpinning theory, model or framework; data selection and processing; formation of index; testing of index. RESULTS: Twenty-six publications describing population health indices were included, and 27 indices were identified. These indices covered the following health topics: overall health outcomes (n = 15), outcomes for specific health topics (n = 4), diseases outcome (n = 6), assist health resource allocation for priority minority subgroup or geographic area (n = 4), quality of health or health care (n = 2). Twenty-one indices measure health for general populations while six measure defined subpopulations. Fourteen of the indices reported at least one of the development processes according to the a priori framework: underpinning theory, model or framework (n = 7); data selection and processing (n = 8); formation of index (n = 12); testing of index (n = 9). CONCLUSIONS: Few population health indices measure specific health topics or health of specific sub-population. There is also a lack of usage of theories, models or framework in developing these indices. Efforts to develop a guideline is proposed on how population health indices can be developed systematically and rigorously to ensure validity and comprehensive assessment of the indices. Edinburgh University Global Health Society 2019-06 2019-01-23 /pmc/articles/PMC6344069/ /pubmed/30701069 http://dx.doi.org/10.7189/jogh.09.010405 Text en Copyright © 2019 by the Journal of Global Health. All rights reserved. http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License.
spellingShingle Articles
Ashraf, Khalid
Ng, Chirk Jenn
Teo, Chin Hai
Goh, Kim Leng
Population indices measuring health outcomes: A scoping review
title Population indices measuring health outcomes: A scoping review
title_full Population indices measuring health outcomes: A scoping review
title_fullStr Population indices measuring health outcomes: A scoping review
title_full_unstemmed Population indices measuring health outcomes: A scoping review
title_short Population indices measuring health outcomes: A scoping review
title_sort population indices measuring health outcomes: a scoping review
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6344069/
https://www.ncbi.nlm.nih.gov/pubmed/30701069
http://dx.doi.org/10.7189/jogh.09.010405
work_keys_str_mv AT ashrafkhalid populationindicesmeasuringhealthoutcomesascopingreview
AT ngchirkjenn populationindicesmeasuringhealthoutcomesascopingreview
AT teochinhai populationindicesmeasuringhealthoutcomesascopingreview
AT gohkimleng populationindicesmeasuringhealthoutcomesascopingreview