Evidence map›Paper›PMID 39247233›Full record

ArticleFrontiers in public health2024

Interrupted time series analysis of the impact of the COVID-19 pandemic and compulsory social health insurance system on fertility rates: a study of live births in Kazakhstan, 2019-2023.

Indira Karibayeva, Sharapat Moiynbayeva, Valikhan Akhmetov, Sandugash Yerkenova, Kuralay Shaikova, Gaukhar Moshkalova, Dina Mussayeva, Bibinur Tarakova

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Level of Patient Satisfaction with Quality of Primary Healthcare in Almaty During COVID-19 Pandemic.International journal of environmental research and public health · 2025
    Article
  9. Review
  10. 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

8 authors.

Indira KaribayevaDepartment of Health Policy and Community Health, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, United States.
Sharapat MoiynbayevaDepartment of Science and Consulting, Kazakhstan Medical University "KSPH", Almaty, Kazakhstan.
Valikhan AkhmetovDepartment of Economics of Healthcare and Insurance Medicine, Kazakhstan Medical University "KSPH", Almaty, Kazakhstan.
Sandugash YerkenovaDepartment of Epidemiology, Evidence-Based Medicine and Biostatistics, Kazakhstan Medical University "KSPH", Almaty, Kazakhstan.
Kuralay ShaikovaDepartment of Science and Consulting, Kazakhstan Medical University "KSPH", Almaty, Kazakhstan.
Gaukhar MoshkalovaDepartment of Epidemiology, Evidence-Based Medicine and Biostatistics, Kazakhstan Medical University "KSPH", Almaty, Kazakhstan.
Dina MussayevaDepartment of Pediatrics, Siberian State Medical University, Tomsk, Russia.
Bibinur TarakovaDepartment of Visual Diagnostics, Asfendiyarov Kazakh National Medical University, Almaty, Kazakhstan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The COVID-19 pandemic triggered global health crises, affecting population health directly through infections and fatalities, and indirectly by increasing the burden of chronic diseases due to disrupted healthcare access and altered lifestyle behaviors. Amidst these challenges, concerns regarding reproductive health and fertility rates have emerged, necessitating an understanding of their implications for policymaking and healthcare planning. Furthermore, Kazakhstan's healthcare landscape underwent significant changes with the reintroduction of compulsory social health insurance system in January 2020, coinciding with the onset of the COVID-19 pandemic. This study aims to assess the impact of the COVID-19 pandemic and compulsory social health insurance system on fertility rates in Kazakhstan by examining live birth data from 2019 to 2024. Methods: Using Interrupted Time Series analysis, we evaluated the effect of the COVID-19 lockdown announcement and compulsory social health insurance system implementation on monthly birth rates, adjusted for the number of women of reproductive age from January 2019 to December 2023. Results: In the final model, the coefficients were as follows: the effect of the COVID-19 lockdown was estimated at 469 (SE = 2600, Discussion: The implementation of the compulsory social health insurance system, rather than the announcement of the COVID-19 lockdown, has had a significant positive impact on live birth rates in Kazakhstan. However, despite governmental efforts, live birth rates are declining, potentially due to unaddressed health needs of fertile women and economic challenges. Urgent policy-level actions are needed to address gaps in healthcare services and promote reproductive health.

Indexed as

Birth RateCOVID-19Interrupted Time Series AnalysisLive BirthAdultFemaleHumansInsurance, HealthKazakhstanPandemicsPregnancySARS-CoV-2COVID-19fertility ratesKazakhstanlive birthmaternal and child health

Identifiers

PMID39247233
PMCPMC11377340

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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.