Evidence map›Paper›PMID 33300765›Full record

ArticleInternational journal of health policy and management2022

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.

Jacopo Lenzi, Chiara Reno, Jolanta Skrule, Jana Lepiksone, Ģirts Briģis, Alina Dūdele, Maria Pia Fantini

Abstract read
In one paragraph

Article in International journal of health policy and management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Recent Trends in Cardiovascular Disease Mortality in Kazakhstan.Vascular health and risk management · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jacopo LenziDepartment of Biomedical and Neuromotor Sciences, Alma Mater Studiorum - University of Bologna, Bologna, Italy.ORCID 0000-0003-2882-4223
Chiara RenoDepartment of Biomedical and Neuromotor Sciences, Alma Mater Studiorum - University of Bologna, Bologna, Italy.ORCID 0000-0002-7933-2141
Jolanta SkruleUnit of Data Analysis of NCD and Surveys, Centre for Disease Prevention and Control of Latvia, Riga, Latvia.
Jana LepiksoneResearch and Health Statistics Department, Centre for Disease Prevention and Control of Latvia, Riga, Latvia.
Ģirts BriģisDepartment of Public Health and Epidemiology, Riga Stradiņš University, Riga, Latvia.ORCID 0000-0003-3296-4173
Alina DūdeleHealth Management Section, Riga Stradiņš University, Riga, Latvia.
Maria Pia FantiniDepartment of Biomedical and Neuromotor Sciences, Alma Mater Studiorum - University of Bologna, Bologna, Italy.ORCID 0000-0002-3257-6552

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBecause 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.

methodsWe 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.

results41.5 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.

conclusionIf 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.

Indexed as

Cardiovascular DiseasesQuality of Health CareHospitalsHumansLatviaPrimary PreventionCardiovascular DiseasesExcess MortalityHealth Services AccessibilityLatviaPrimary PreventionQuality of Care

Identifiers

PMID33300765
PMCPMC9309914

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.