Evidence map›Paper›PMID 40427917›Full record

ArticleInternational journal of environmental research and public health2025

Level of Patient Satisfaction with Quality of Primary Healthcare in Almaty During COVID-19 Pandemic.

Dinara Shaki, Gulshara Aimbetova, Venera Baysugurova, Marina Kanushina, Aigerim Chegebayeva, Muratkhan Arailym, Erkebulan Merkibekov, Indira Karibayeva

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Article in International journal of environmental research and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
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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

8 authors.

Dinara ShakiSchool of Public Health, Asfendiyarov Kazakh National Medical University, Almaty 050000, Kazakhstan.ORCID 0009-0003-5769-6643
Gulshara AimbetovaSchool of Public Health, Asfendiyarov Kazakh National Medical University, Almaty 050000, Kazakhstan.
Venera BaysugurovaSchool of Public Health, Asfendiyarov Kazakh National Medical University, Almaty 050000, Kazakhstan.ORCID 0000-0003-0182-7598
Marina KanushinaFaculty of Postgraduate Studies, AC Institute of International Education, Prague 10200, Czech Republic.ORCID 0000-0001-5154-7506
Aigerim ChegebayevaVeteran Clinic Almaty, Almaty 050000, Kazakhstan.
Muratkhan ArailymFaculty of Medicine and Health, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan.
Erkebulan MerkibekovMultiprofile City Hospital, Taraz 060000, Kazakhstan.
Indira KaribayevaDepartment of Health Policy and Community Health, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA 30458, USA.ORCID 0000-0003-1796-2604

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to assess patient satisfaction with the quality of healthcare services at selected public primary healthcare facilities in Almaty during the COVID-19 pandemic and to identify associated demographic and facility-related factors.

methodsA cross-sectional, quantitative study was conducted over a period of 6 months, from 30 June to 31 December 2021, through a web-based survey. An adapted questionnaire was employed to survey the respondents. In total, 1035 respondents participated in the study. To examine the relationship between demographic and facility characteristics and patient satisfaction, we utilized the proportional odds model for ordinal logistic regression.

resultsA total of eight primary healthcare organizations from the public sector in Almaty participated in the survey. The analysis identified significant demographic predictors of patient satisfaction, such as marital status, social status, self-perceived health, and the use of online consultations. Among the facility-related factors, only the availability of a cross-ventilation system emerged as a significant predictor.

conclusionsThis study provides evidence for the factors influencing patient satisfaction with primary healthcare services in Almaty during the COVID-19 pandemic. Both demographic characteristics and facility-level attributes were found to significantly affect satisfaction levels. These findings underscore the need for targeted structural and organizational improvements in primary healthcare settings, especially during public health emergencies. Addressing these gaps through infrastructural upgrades, enhanced preparedness, and the integration of patient-centered care models can help to bolster trust and resilience within Kazakhstan's healthcare system.

Indexed as

COVID-19Patient SatisfactionPrimary Health CareQuality of Health CareAdolescentAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedPandemicsSARS-CoV-2Surveys and QuestionnairesYoung AdultCOVID-19Kazakhstanpandemicpatients’ satisfactionprimary healthcare

Identifiers

PMID40427917
PMCPMC12111663

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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.