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. 2024 May 21;19(5):e0302174.
doi: 10.1371/journal.pone.0302174. eCollection 2024.

Measuring population health using health expectancy estimates from morbidity and mortality databases

Marc Carreras  1   2 , Pere Ibern  3   2 , José María Inoriza  4   2
Affiliations

Measuring population health using health expectancy estimates from morbidity and mortality databases

Marc Carreras et al. PLoS One. .

Abstract

The progressive incorporation of quality of life indicators in health planning meets a critical need: The evaluation of the performance of health services, which are under stress by multiple causes, but in particular by an ageing population. In general, national health plans rely on health expectancies obtained using the Sullivan method. The Sullivan health expectancy index combines age-specific mortality rates and age-specific prevalence of healthy life, obtained from health surveys. The objective of this work is to investigate an equivalent estimation, using available information from morbidity and mortality datasets. Mortality and morbidity information, corresponding to years 2016 and 2017, was obtained for the population of the county of Baix Empordà (Catalonia), N = 91,130. Anonymized individual information on diagnoses, procedures and pharmacy consumption contained in the individual clinical record (ICD and ATC codes), were classified into health states. Based on the observed health transitions and mortality, life expectancies by health state were obtained from a multistate microsimulation model. Healthy life expectancies at birth and 65 years for females and males were respectively HLE0female = 39.94, HLE0male = 42.87, HLE65female = 2.43, HLE65male = 2.17. These results differed considerably from the Sullivan equivalents, e.g., 8.25 years less for HLE65female, 9.26 less for HLE65male. Point estimates for global life expectancies at birth and 65 years of age: LE0female = 85.82, LE0male = 80.58, LE65female = 22.31, LE65male = 18.86. Health indicators can be efficiently obtained from multistate models based on mortality and morbidity information, without the use of health surveys. This alternative method could be used for monitoring populations in the context of health planning. Life Expectancy results were consistent with the standard government reports. Due to the different approximation to the concept of health (data-based versus self-perception), healthy life expectancies obtained from multistate micro simulation are consistently lower than those calculated with the standard Sullivan method.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Study population at December 31, 2016 (N = 87,850).
Fig 2
Fig 2. Transformation of individual morbidity and mortality data to health status.
1. International Statistical Classification of Diseases and Related Health Problems (ICD); 2. Anatomical Therapeutic Chemical (ATC) Classification; 3. Clinical Risk Groups (CRGs).
Fig 3
Fig 3. Health status transition model.
"Sig.": significant; "o.s.": organ systems.
Fig 4
Fig 4. Health Expectancies.
See this image and copyright information in PMC

References

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