Evidence map›Paper›PMID 40707627›Full record

ArticleScientific reports2025

Past, current status, and future trends of the rural healthcare network in the Republic of Kazakhstan.

Bagym Jobalayeva, Natalya Glushkova, Zaituna Khismetova, Gulnaz Tanatarova, Zhanar Zhagiparova, Yuliya Semenova

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In one paragraph

Article in Scientific reports, 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

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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

6 authors.

Bagym JobalayevaDepartment of Public Health, JSC "Semey Medical University", Semey, Republic of Kazakhstan.
Natalya GlushkovaDepartment of Epidemiology, Biostatistics & Evidence-Based Medicine, Al-Farabi Kazakh National University, Almaty, Republic of Kazakhstan. glushkovanatalyae@gmail.com.
Zaituna KhismetovaDepartment of Public Health, JSC "Semey Medical University", Semey, Republic of Kazakhstan.
Gulnaz TanatarovaDepartment of Health of the Abay Region, First Deputy Head of the Health Department of the Abay Region, Semey, Republic of Kazakhstan.
Zhanar ZhagiparovaDean Office, School of Pharmacy, Asfendiyarov Kazakh National Medical University, Almaty, Republic of Kazakhstan.
Yuliya SemenovaDepartment of Surgery, Nazarbayev University School of Medicine, Astana, Republic of Kazakhstan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a lack of research investigating the rural healthcare network in Kazakhstan following healthcare system reforms. The aim of this study was to assess the density of rural healthcare facilities at the national and regional levels from 2004-2022, examine the healthcare system reforms implemented to enhance rural healthcare, and forecast future trends. For this purpose, official statistics and relevant laws from legislative databases were retrieved and analyzed. Mathematical modeling was employed to project future trends in rural facility density up to 2030. Kazakhstan has taken numerous actions to support rural healthcare, which is evident in various legislative acts. However, despite these efforts, the density of both outpatient and inpatient healthcare facilities decreased during 2004-2022, primarily due to Kazakhstan's growing population. Overall, the density of both outpatient and inpatient healthcare facilities is projected to decline further, with an estimated density of 5.87 per 10,000 people for outpatient facilities and 1.98 per 100,000 people for inpatient facilities by 2030. Projections also suggest that the rural population may increase to 7,991,460 people by 2030. Given these findings, continued efforts are needed to improve the provision of healthcare services to the rural population of Kazakhstan.

Indexed as

Rural Health ServicesDelivery of Health CareHumansKazakhstanRural PopulationInpatientKazakhstanMathematical modelingOutpatientRural healthSystem reforms

Identifiers

PMID40707627
PMCPMC12290056

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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.