Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Factors determining the quality of health services provided to Covid-19 patients from the perspective of healthcare providers

Based on the Donabedian model

Bibliographic Data

ID22070864
AuthorsMalihe Sadat Moayed (0000-0001-6732-3478, Baqiyatallah University of Medical Sciences), Robabe Khalili (0000-0003-4867-8569, Baqiyatallah University of Medical Sciences), Abbas Ebadi (0000-0002-2911-7005, Baqiyatallah University of Medical Sciences), Akram Parandeh (0000-0002-3054-1938, Baqiyatallah University of Medical Sciences, corresponding author)
Year2022
Volume10
Pages967431-967431
Publication date2022-11-28
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2022.967431
PMID36518581
OpenAlexW4310266281
LanguageEN
Citations received1
References cited34

Objectives: The present study aims to explain factors determining the quality of health services provided to COVID-19 patients from the perspective of healthcare providers based on the Donabedian model. Method: This qualitative study was conducted at a referral hospital on COVID-19 patients in Tehran, in 2020. The data were collected through individual and semi-structured interviews from 20 participants using the purposive sampling method. Besides, data analysis was conducted simultaneously using the directed content analysis method. Results: Data analysis results produced 850 primary codes in three predetermined categories of the Donabedian model, including the structure (organizational readiness and continuous training), the process (effective management and leadership, safe care, and comprehensive care measures) and outcomes (professional excellence, quantitative and qualitative improvements in hospital services, and acceptability of healthcare professionals). Conclusion: The results of this study can help managers better understand how a public health crisis affects the structure of organizations providing care and treatment, quality of treatment processes in the organization, and the consequences. In addition, this study can be used as a model for optimizing the structures and processes to improve outcomes

2019-20 coronavirus outbreak · Health care · Political science · Computer Science · COVID-19 and Mental Health · Employee Performance and Leadership · Medicine · Patient Satisfaction in Healthcare · Artificial Intelligence · Virology

  • Economic changes and public health resources associated with satisfaction toward the state health service system among older adults under the Universal Coverage Scheme across 77 provinces in Thailand, 2017–2024

    Open Access•Nakarin Prasit, Nathakon Nilnate et al.•International Journal for Equity…•2026

  • Health equity and Covid-19

    Open Access•Efrat Shadmi, Yingyao Chen et al.•International Journal for Equity…•2020

  • Judging interpretations

    Open Access•Thomas A Schwandt, Yvonna S Lincoln et al.•New Directions for Evaluation•2007

  • Employee adjustment and well-being in the era of Covid-19

    Open Access•Joel B Carnevale, Isabella Hatak•Journal of Business Research•2020

  • Evaluating the Quality of Medical Care

    Open Access•Avedis Donabedian•Milbank Quarterly•2005

  • Evaluating the Quality of Medical Care

    Avedis Donabedian•The Milbank Memorial Fund Quarterly•1966

  • Nurse Reports of Stressful Situations during the Covid-19 Pandemic

    Open Access•Judith E Arnetz, Courtney M Goetz et al.•International Journal of…•2020

  • Challenges to manage pandemic of coronavirus disease (Covid-19) in Iran with a special situation

    Open Access•Hamid Reza Khankeh, Hamidreza Khankeh et al.•BMC Public Health•2021

  • Promoting Quality through Evaluating the Process of Patient Care

    Avedis Donabedian•Medical Care•1968

  • Three Approaches to Qualitative Content Analysis

    Open Access•Hsiu-Fang Hsieh, Sarah E Shannon•Qualitative Health Research•2005

Citations per year1
Citation span2026 - 2026 (1)
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae