Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Attitudes of Health Professionals towards Integrated Health Campuses

A Second-Order Confirmatory Factor Analysis

Bibliographic Data

ID15087189
AuthorsBusra Saylan (0000-0002-1296-1824, Faculty of Economics and Administrative Sciences (FEAS), Department of Health Care Management, Hacettepe University Beytepe Campus, Beytepe, Ankara, Turkey), Songül Çınaroğlu (0000-0001-5699-8402, Faculty of Economics and Administrative Sciences (FEAS), Department of Health Care Management, Hacettepe University Beytepe Campus, Beytepe, Ankara, Turkey, corresponding author)
EditorsMücahit Aydın (0000-0002-4934-0191)
Year2023
Volume2023
Pages1-11
Publication date2023-03-27
Open AccessYes
TypeARTICLE
VenueHealth & Social Care in the Community (JOURNAL)
Journal identifiersISSN: 0966-0410 • E-ISSN: 1365-2524
PublisherWiley (PUBLISHER • GB)
DOI10.1155/2023/1400801
OpenAlexW4361215482
LanguageEN
References cited54

City hospitals (integrated health campuses) are a remarkable health policy action that has recently been implemented to meet the increasing public health needs. Health care professionals work in a collaborative atmosphere and provide interprofessional care on health campuses. This study is designed to explore the confirmatory factor structure of the Initial Attitudes towards Integrated Health Care (ATIHC) scale in Turkish health professionals, which was used to evaluate the attitudes of health professionals, consisting of senior managers and specialist physicians, towards city hospitals. Data were gathered from 196 health professionals, including senior managers and specialist physicians, working in a city hospital located in the rural part of the country. Confirmatory factor analysis (CFA) was used to analyze the data through the first-order and second-order stages. The performance of the second-order CFA model is meaningful ( p 0.00001 ) and acceptable ( X 2 /df = 1663/430 = 3.8; RMSEA = 0.12), and the goodness-of-fit indices are good (CFI = 0.92; NFI = 0.89; IFI = 0.92). The ATIHC scale, which consists of four latent variables under the second-order latent “attitudes” variable, better represents the sample, and health care quality and efficiency (β = 1.03, p 0.01 ) and coordination of care components (β = 1.02, p 0.01 ) are the prominent factors in explaining the attitudes of health professionals towards city hospitals. The Turkish version of ATIHC is a reliable and valid instrument for measuring the attitudes of health professionals towards city hospitals

Confirmatory factor analysis · Geography · Health care · Health professionals · Latent variable · Political science · Scale (ratio) · Statistics · Structural equation modeling · Turkish · Interprofessional Education and Collaboration · Mathematics · Medicine · Nursing · Organizational Strategy and Culture · Patient Satisfaction in Healthcare · Psychology

  • The Scientific Use of Factor Analysis in Behavioral and Life Sciences

    Open Access•Raymond B Cattell•Scientific Use of Factor Analysis…•1978

  • Effectiveness of strategies to improve health-care provider practices in low-income and middle-income countries

    Open Access•Alexander K Rowe, Samantha Y Rowe et al.•The Lancet Global Health•2018

  • How to Use a Monte Carlo Study to Decide on Sample Size and Determine Power

    Linda K Muthén, Bengt Muthén et al.•Structural Equation Modeling: A…•2002

  • Nonconvergence, Improper Solutions, and Starting Values in Lisrel Maximum Likelihood Estimation

    Open Access•Anne Boomsma•Psychometrika•1985

  • Psychometric Properties of the General Anxiety Disorder 7-Item (GAD-7) Scale in a Heterogeneous Psychiatric Sample

    Open Access•Sverre Urnes Johnson, Pål Ulvenes et al.•Frontiers in Psychology•2019

  • Working on working together. A systematic review on how healthcare professionals contribute to interprofessional collaboration

    Open Access•Evert Schot, Lidewij Tummers et al.•Journal of Interprofessional Care•2020

  • The Effect of Sampling Error on Convergence, Improper Solutions, and Goodness-of-Fit Indices for Maximum Likelihood Confirmatory Factor Analysis

    Open Access•James C Anderson, David W Gerbing•Psychometrika•1984

  • Applied Psychometrics

    Open Access•Theodoros Kyriazos, Theodoros A Kyriazos•Psychology the Journal of the…•2018

  • RMSEA, CFI, and TLI in structural equation modeling with ordered categorical data

    Open Access•Yan Xia, Yanyun Yang•Behavior Research Methods•2019

  • Cutoff criteria for fit indexes in covariance structure analysis

    Li‐tze Hu, Peter M Bentler•Structural Equation Modeling: A…•1999

  • Kamu-Özel İşbirliği Modelinde Özel Sektör Teşvik Faktörleri

    Open Access•Yusuf UYSAL•MANAS Sosyal Araştırmalar Dergisi•2020

  • Indicators per Factor in Confirmatory Factor Analysis

    Jennifer Koran•Structural Equation Modeling: A…•2020

  • The Poor Fit of Model Fit for Selecting Number of Factors in Exploratory Factor Analysis for Scale Evaluation

    Open Access•Amanda Kay Montoya, Michael C Edwards•Educational and Psychological…•2021

  • Factors influencing interprofessional collaboration between community pharmacists and general practitioners—A systematic review

    Open Access•Annelies Bollen, Reema Harrison et al.•Health & Social Care in the…•2019

  • Understanding integrated care

    Open Access•Pim Valentijn, Sanneke Schepman et al.•International Journal of…•2013

  • Coefficient alpha and the internal structure of tests

    Open Access•Lee J Cronbach•Psychometrika•1951

  • Improved Representation of the Self-Perception Profile for Children Through Bifactor Exploratory Structural Equation Modeling

    Open Access•A Katrin Arens, Alexandre J S Morin•American Educational Research…•2017

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