Evidence map›Paper›PMID 39099527›Full record

ArticleInternational journal of health policy and management2024

Trends in Avoidable Mortality in Kazakhstan From 2015 to 2021.

Lyazzat Kosherbayeva, Nazgul Akhtayeva, Kamshat Tolganbayeva, Aizhan Samambayeva

Abstract read
In one paragraph

Article in International journal of health policy and management, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Economic Burden of COVID-19 Hospitalization in Almaty, Kazakhstan.ClinicoEconomics and outcomes research : CEOR · 2026
    Article
  5. Article
  6. Article
  7. A Longitudinal Assessment of Metabolic Syndrome.Journal of clinical medicine · 2025
    Article
  8. 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

4 authors.

Lyazzat KosherbayevaAsfendiyarov Kazakh National Medical University, Almaty, Kazakhstan.ORCID 0000-0001-8376-4345
Nazgul AkhtayevaAsfendiyarov Kazakh National Medical University, Almaty, Kazakhstan.ORCID 0000-0002-0835-9814
Kamshat TolganbayevaAsfendiyarov Kazakh National Medical University, Almaty, Kazakhstan.ORCID 0000-0003-2388-7110
Aizhan SamambayevaAyEconomics Research Center, Santiago, Spain.ORCID 0000-0001-8600-7980

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe health system performance assessment is a challenging process for decision-makers. In case of Kazakhstan's healthcare system, the calculation of avoidable mortality, which has been underutilized to date, could serve as an additional tool to prioritize areas for improvement. Therefore, the aim of the study is to analyse avoidable mortality in Kazakhstan.

methodsThe data was retrieved from the Bureau of National Statistics, Kazakhstan. It covers population data by age, mortality rates from disease groups based on the Joint OECD (Organisation for Economic Co-operation and Development)/Eurostat classification of preventable and treatable causes of mortality. The data spans from 2015 to 2021, categorized by gender and 5-year age groups (0, 1-4, 5-9, ..., 70-74). Standardization was performed using the 2015 OECD standard population. We used joinpoint regression analysis to calculate the average annual percentage change (AAPC).

resultsFrom 2015 to 2019, the annual percentage change (APC) in avoidable mortality per 100 000 population was -3.8 (-5.7 to -1.8), and from 2019 to 2021 it increased by 17.6 (11.3 to 24.3). Males exhibited higher avoidable mortality rates compared to females. The preventable mortality rate was consistently higher than the treatable mortality. Both preventable and treatable mortality decreased from 2015 to 2019, with preventable mortality reaching 272.17 before rising to 379.23 per 100 000 population in 2021. Between 2015 and 2021, treatable mortality rates increased from 179.3 (176.93-181.67) to 205.45 (203.08-207.81) per 100 000 population.

conclusionIn Kazakhstan, the leading causes of avoidable mortality were circulatory diseases, respiratory diseases, and cancer. To achieve the goals of universal health coverage (UHC) and improve the overall population health, there is an urgent need to amend the healthcare system and reduce avoidable mortality. While it is important to acknowledge the influence of COVID-19 on these trends, our study's focus on avoidable mortality provides valuable insights that complement the understanding of pandemic-related effects.

Indexed as

MortalityAdolescentAdultAgedCause of DeathChildChild, PreschoolFemaleHumansInfantInfant, NewbornKazakhstanMaleMiddle AgedYoung AdultHealthcare SystemHealth OutcomesHealth ServicesMortalityTrends

Identifiers

PMID39099527
PMCPMC11608278

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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.