Evidence map›Paper›PMID 39857196›Full record

ArticleHealthcare (Basel, Switzerland)2025

The Impact of Healthcare Reforms on the Epidemiology Workforce in Kazakhstan: An Interrupted Time Series Analysis with Predictive Modeling of Nationwide Data Sources from 1998 to 2022.

Togzhan Akpanova, Tolebay Rakhypbekov, Yuliya Semenova, Akmaral Mussakhanova, Assiya Turgambayeva, Marina Zhanaliyeva, Ruslan Zharilkassimov, Sergey Kim, Aigerim Alzhanova, Raushan Sekenova and 1 more

Abstract read
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Article in Healthcare (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

11 authors.

Togzhan AkpanovaDepartment of Science and Human Resources of the Ministry of Health of the Republic of Kazakhstan, Astana 010000, Kazakhstan.
Tolebay RakhypbekovNational Association «Primary Health Care», Astana 010000, Kazakhstan.
Yuliya SemenovaDepartment of Surgery, Nazarbayev University School of Medicine, Astana 010000, Kazakhstan.ORCID 0000-0003-1324-7806
Akmaral MussakhanovaChair of Public Health and Management, Astana Medical University NJSC, Astana 010000, Kazakhstan.ORCID 0000-0002-0399-5045
Assiya TurgambayevaChair of Public Health and Management, Astana Medical University NJSC, Astana 010000, Kazakhstan.
Marina ZhanaliyevaChair of Public Health and Management, Astana Medical University NJSC, Astana 010000, Kazakhstan.
Ruslan ZharilkassimovChair of Public Health and Management, Astana Medical University NJSC, Astana 010000, Kazakhstan.
Sergey KimChair of Public Health and Management, Astana Medical University NJSC, Astana 010000, Kazakhstan.
Aigerim AlzhanovaChair of Public Health and Management, Astana Medical University NJSC, Astana 010000, Kazakhstan.
Raushan SekenovaChair of Public Health and Management, Astana Medical University NJSC, Astana 010000, Kazakhstan.
Marzhan DauletyarovaLLC «Next Event Group», Astana 010000, Kazakhstan.ORCID 0000-0001-8178-4051

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFollowing its independence, Kazakhstan implemented several reforms, including the adoption of the Entrepreneurial Code in 2008. This study aims to evaluate the impact of these reforms on the number and per capita rates of epidemiologists, nurse epidemiologists, epidemiological surveillance centers, and infectious morbidity from 1998 to 2022. Such an evaluation is critical for informing policy decisions regarding the future of epidemiological services in Kazakhstan.

methodsAn interrupted time series analysis using a best-fit epidemiological model was conducted to assess the impact of key interventions-specifically, the adoption of the Entrepreneurial Code of the Republic of Kazakhstan and subsequent legislation-on the number and per capita rates of epidemiologists, nurse epidemiologists, and epidemiological surveillance facilities with infectious morbidity across the country.

resultsInfectious morbidity per million individuals ranged from 4698.14 to 2263.79, with a consistent downward trend observed throughout the study period. Over the study period, the per capita rates of urban epidemiologists exhibited a downward trend, whereas the rates of rural epidemiologists showed an upward trajectory. The per capita rate of epidemiological surveillance centers declined from 26.89 to 15.24 over the study period. Substantial disparities were observed between urban and rural areas, with the epidemiology workforce in urban settings being 3-4 times larger than that in rural areas.

conclusionsThis evaluation is important for informing policy decisions regarding the future of epidemiological surveillance services in Kazakhstan.

Indexed as

epidemiology doctorsepidemiology nursesinfectious morbidityinterrupted time series analysisKazakhstansanitary-epidemiological facilities

Identifiers

PMID39857196
PMCPMC11765252

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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.