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Measuring generic health using the minimum european health module: does it work and is it better than self-rated health?
BACKGROUND: Health is a fundamental aspect of many scientific disciplines and its definition and measurement is the analytical core of many empirical studies. Comprehensive measures of health, however, are typically precluded in survey research due to financial and temporal restrictions. Self-rated...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10693136/ https://www.ncbi.nlm.nih.gov/pubmed/38041065 http://dx.doi.org/10.1186/s12889-023-16778-2 |
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author | Lazarevič, Patrick |
author_facet | Lazarevič, Patrick |
author_sort | Lazarevič, Patrick |
collection | PubMed |
description | BACKGROUND: Health is a fundamental aspect of many scientific disciplines and its definition and measurement is the analytical core of many empirical studies. Comprehensive measures of health, however, are typically precluded in survey research due to financial and temporal restrictions. Self-rated health (SRH) as a single indicator of health, on the other hand, exhibits a lack of measurement invariance by age and is biased due to non-health influences. In the three-item Minimum European Health Module (MEHM), SRH is complemented with questions on chronic health conditions and activity limitations, thus providing a compromise between single indicators and comprehensive measures. METHODS: Using data from the German Ageing Survey (2008 & 2014; n = 12,037), I investigated the feasibility to combine the MEHM into a generic health indicator and judged its utility in comparison to SRH as a benchmark. Additionally, I explored the option of an extended version of the MEHM by adding information on multimorbidity and the presence and intensity of chronic pain. RESULTS: The analyses showed that both versions of the MEHM had a good internal consistency and each represented a single latent variable that can be computed using generalized structural equation modeling. The utility of this approach showed great promise as it significantly reduced age-specific reporting behavior and some non-health biases present in SRH. CONCLUSIONS: Using the MEHM to measure generic (physical) health is a promising approach with a wide array of applications. Further research could extend these analyses to additional age groups, other countries, and establish standardized weights for greater comparability. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-16778-2. |
format | Online Article Text |
id | pubmed-10693136 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106931362023-12-03 Measuring generic health using the minimum european health module: does it work and is it better than self-rated health? Lazarevič, Patrick BMC Public Health Research BACKGROUND: Health is a fundamental aspect of many scientific disciplines and its definition and measurement is the analytical core of many empirical studies. Comprehensive measures of health, however, are typically precluded in survey research due to financial and temporal restrictions. Self-rated health (SRH) as a single indicator of health, on the other hand, exhibits a lack of measurement invariance by age and is biased due to non-health influences. In the three-item Minimum European Health Module (MEHM), SRH is complemented with questions on chronic health conditions and activity limitations, thus providing a compromise between single indicators and comprehensive measures. METHODS: Using data from the German Ageing Survey (2008 & 2014; n = 12,037), I investigated the feasibility to combine the MEHM into a generic health indicator and judged its utility in comparison to SRH as a benchmark. Additionally, I explored the option of an extended version of the MEHM by adding information on multimorbidity and the presence and intensity of chronic pain. RESULTS: The analyses showed that both versions of the MEHM had a good internal consistency and each represented a single latent variable that can be computed using generalized structural equation modeling. The utility of this approach showed great promise as it significantly reduced age-specific reporting behavior and some non-health biases present in SRH. CONCLUSIONS: Using the MEHM to measure generic (physical) health is a promising approach with a wide array of applications. Further research could extend these analyses to additional age groups, other countries, and establish standardized weights for greater comparability. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-16778-2. BioMed Central 2023-12-01 /pmc/articles/PMC10693136/ /pubmed/38041065 http://dx.doi.org/10.1186/s12889-023-16778-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Lazarevič, Patrick Measuring generic health using the minimum european health module: does it work and is it better than self-rated health? |
title | Measuring generic health using the minimum european health module: does it work and is it better than self-rated health? |
title_full | Measuring generic health using the minimum european health module: does it work and is it better than self-rated health? |
title_fullStr | Measuring generic health using the minimum european health module: does it work and is it better than self-rated health? |
title_full_unstemmed | Measuring generic health using the minimum european health module: does it work and is it better than self-rated health? |
title_short | Measuring generic health using the minimum european health module: does it work and is it better than self-rated health? |
title_sort | measuring generic health using the minimum european health module: does it work and is it better than self-rated health? |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10693136/ https://www.ncbi.nlm.nih.gov/pubmed/38041065 http://dx.doi.org/10.1186/s12889-023-16778-2 |
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