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Level of Patient Satisfaction with Quality of Primary Healthcare in Almaty During COVID-19 Pandemic
D. Shaki, G. Aimbetova, V. Baysugurova, M. Kanushina, A. Chegebayeva, M. Arailym, E. Merkibekov, I. Karibayeva
Jazyk angličtina Země Švýcarsko
Typ dokumentu časopisecké články
NLK
Free Medical Journals
od 2004
PubMed Central
od 2005
Europe PubMed Central
od 2005
ProQuest Central
od 2009-01-01
Open Access Digital Library
od 2004-01-01
Open Access Digital Library
od 2005-01-01
Medline Complete (EBSCOhost)
od 2008-12-01
Health & Medicine (ProQuest)
od 2009-01-01
Public Health Database (ProQuest)
od 2009-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2004
PubMed
40427917
DOI
10.3390/ijerph22050804
Knihovny.cz E-zdroje
- MeSH
- COVID-19 * epidemiologie MeSH
- dospělí MeSH
- kvalita zdravotní péče * MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladiství MeSH
- mladý dospělý MeSH
- pandemie MeSH
- primární zdravotní péče * normy statistika a číselné údaje MeSH
- průřezové studie MeSH
- průzkumy a dotazníky MeSH
- SARS-CoV-2 MeSH
- senioři MeSH
- spokojenost pacientů * statistika a číselné údaje MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladiství MeSH
- mladý dospělý MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
BACKGROUND: This 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. METHODS: A 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. RESULTS: A 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. CONCLUSIONS: This 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.
Faculty of Medicine and Health Al Farabi Kazakh National University Almaty 050040 Kazakhstan
Faculty of Postgraduate Studies AC Institute of International Education Prague 10200 Czech Republic
Multiprofile City Hospital Taraz 060000 Kazakhstan
School of Public Health Asfendiyarov Kazakh National Medical University Almaty 050000 Kazakhstan
Citace poskytuje Crossref.org
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