Excess Cardiovascular Mortality in Latvia: A Novel Approach Based on Patient-Level Data to Estimate the Separate Contributions of Primary Prevention, Accessibility and Quality of Hospital Care.

Cardiovascular Diseases Excess Mortality Health Services Accessibility Latvia Primary Prevention Quality of Care

Journal

International journal of health policy and management
ISSN: 2322-5939
Titre abrégé: Int J Health Policy Manag
Pays: Iran
ID NLM: 101619905

Informations de publication

Date de publication:
01 06 2022
Historique:
received: 08 04 2020
accepted: 07 11 2020
pubmed: 11 12 2020
medline: 10 5 2022
entrez: 10 12 2020
Statut: epublish

Résumé

Because quantifying the relative contributions of prevention and medical care to the decline in cardiovascular mortality is controversial, at present mortality indicators use a fifty-fifty allocation to fraction avoidable cardiovascular deaths as being partly preventable and partly amenable. The aim of this study was to develop a dynamic approach to estimate the contributions of preventable versus amenable mortality, and to estimate the proportion of amenable mortality due to non-utilisation of care versus suboptimal quality of care. We calculated the contribution of primary prevention, healthcare utilisation and healthcare quality in Latvia by using Emilia-Romagna (ER) (Italy) as the best performer reference standard. In particular, we considered preventable mortality as the number of cardiovascular deaths that could be avoided if Latvia had the same incidence as ER, and then apportioned non-preventable mortality into the two components of non-utilisation versus suboptimal quality of hospital care based on the presence of hospital admissions in the days before death. This calculation was possible thanks to the availability of the unique patient identifier in the administrative databases of Latvia and ER. 41.5 people per 100 000 population died in Latvia in 2016 from cardiovascular causes amenable to healthcare; about half of these (21.4 per 100 000) had had no contact with acute care settings, while the other half (20.1 per 100 000) had accessed the hospital but received suboptimal-quality healthcare. Another estimated 26.8 deaths per 100 000 population were due to lack of primary prevention. Deaths attributable to suboptimal quality or non-utilisation of hospital care constituted 60.7% of all avoidable cardiovascular mortality. If research is undertaken to understand the reasons for differences between territories and their possible relevance to lower performing countries, the dynamic assessment of country-specific contributions to avoidable mortality has considerable potential to stimulate cross-national learning and continuous improvement in population health outcomes.

Sections du résumé

BACKGROUND
Because quantifying the relative contributions of prevention and medical care to the decline in cardiovascular mortality is controversial, at present mortality indicators use a fifty-fifty allocation to fraction avoidable cardiovascular deaths as being partly preventable and partly amenable. The aim of this study was to develop a dynamic approach to estimate the contributions of preventable versus amenable mortality, and to estimate the proportion of amenable mortality due to non-utilisation of care versus suboptimal quality of care.
METHODS
We calculated the contribution of primary prevention, healthcare utilisation and healthcare quality in Latvia by using Emilia-Romagna (ER) (Italy) as the best performer reference standard. In particular, we considered preventable mortality as the number of cardiovascular deaths that could be avoided if Latvia had the same incidence as ER, and then apportioned non-preventable mortality into the two components of non-utilisation versus suboptimal quality of hospital care based on the presence of hospital admissions in the days before death. This calculation was possible thanks to the availability of the unique patient identifier in the administrative databases of Latvia and ER.
RESULTS
41.5 people per 100 000 population died in Latvia in 2016 from cardiovascular causes amenable to healthcare; about half of these (21.4 per 100 000) had had no contact with acute care settings, while the other half (20.1 per 100 000) had accessed the hospital but received suboptimal-quality healthcare. Another estimated 26.8 deaths per 100 000 population were due to lack of primary prevention. Deaths attributable to suboptimal quality or non-utilisation of hospital care constituted 60.7% of all avoidable cardiovascular mortality.
CONCLUSION
If research is undertaken to understand the reasons for differences between territories and their possible relevance to lower performing countries, the dynamic assessment of country-specific contributions to avoidable mortality has considerable potential to stimulate cross-national learning and continuous improvement in population health outcomes.

Identifiants

pubmed: 33300765
doi: 10.34172/ijhpm.2020.229
pmc: PMC9309914
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

820-828

Informations de copyright

© 2022 The Author(s); Published by Kerman University of Medical Sciences This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Auteurs

Jacopo Lenzi (J)

Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum - University of Bologna, Bologna, Italy.

Chiara Reno (C)

Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum - University of Bologna, Bologna, Italy.

Jolanta Skrule (J)

Unit of Data Analysis of NCD and Surveys, Centre for Disease Prevention and Control of Latvia, Riga, Latvia.

Jana Lepiksone (J)

Research and Health Statistics Department, Centre for Disease Prevention and Control of Latvia, Riga, Latvia.

Ģirts Briģis (Ģ)

Department of Public Health and Epidemiology, Riga Stradiņš University, Riga, Latvia.

Alina Dūdele (A)

Health Management Section, Riga Stradiņš University, Riga, Latvia.

Maria Pia Fantini (M)

Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum - University of Bologna, Bologna, Italy.

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Classifications MeSH