Measurement Model of Women's Preferences in Obstetrician and Gynecologist Selection in the Private Sector: Exploratory and Confirmatory Factor Analysis.

Factor analysis Obstetric and gynecologic patients Patient preferences Women’s health services

Journal

International journal of community based nursing and midwifery
ISSN: 2322-2476
Titre abrégé: Int J Community Based Nurs Midwifery
Pays: Iran
ID NLM: 101615484

Informations de publication

Date de publication:
Apr 2020
Historique:
entrez: 21 4 2020
pubmed: 21 4 2020
medline: 21 4 2020
Statut: ppublish

Résumé

The purpose of this study is to construct and validate a measurement model of women's preferences in Obstetrician and Gynecologist (OB/GYN) selection in the private sector of non-clinical parameters. This methodological study included 462 respondents in OB/GYN's offices to a researcher-made questionnaire. The patients visited 57 offices of OB/GYNs in the city of Mashhad in Iran and completed women's preferences in OB/GYN selection questionnaire over a 2-month period from January to February 2018. Exploratory Factor Analysis (EFA) was conducted to verify the instrument's construct validity. Confirmatory Factor Analysis (CFA) was used to test whether the data fit our hypothesized model obtained from EFA model. The first draft of the questionnaire was prepared with 118 items based on literature review. The outcome of content validity assessment was a 51-item questionnaire. Scale-Content Validity Index (S-CVI) turned out to be 0.80. The results of EFA yielded an instrument with 33 items in six domains, which explained 52.657% of the total variance of the questionnaire. With performing CFA, the 6-factor model with 29 items demonstrated a good fit with the data (CFI=0.952, CMIN/DF=1.613, RMSEA=0.036). Availability and Accessibility, Communicational Skills, Office Environment, Recommendation by Others, Special Services, and Cost and Insurance were found to define the women's preferences in OB/GYN selection in private sector, Iran. The developed measurement model considers the patient's preferences that influence decision-making process on OB/GYN selection. It can provide useful knowledge for OB/GYNs and policymakers to design appropriate and efficient marketing strategies according to the consumer preferences priority.

Sections du résumé

BACKGROUND BACKGROUND
The purpose of this study is to construct and validate a measurement model of women's preferences in Obstetrician and Gynecologist (OB/GYN) selection in the private sector of non-clinical parameters.
METHODS METHODS
This methodological study included 462 respondents in OB/GYN's offices to a researcher-made questionnaire. The patients visited 57 offices of OB/GYNs in the city of Mashhad in Iran and completed women's preferences in OB/GYN selection questionnaire over a 2-month period from January to February 2018. Exploratory Factor Analysis (EFA) was conducted to verify the instrument's construct validity. Confirmatory Factor Analysis (CFA) was used to test whether the data fit our hypothesized model obtained from EFA model.
RESULTS RESULTS
The first draft of the questionnaire was prepared with 118 items based on literature review. The outcome of content validity assessment was a 51-item questionnaire. Scale-Content Validity Index (S-CVI) turned out to be 0.80. The results of EFA yielded an instrument with 33 items in six domains, which explained 52.657% of the total variance of the questionnaire. With performing CFA, the 6-factor model with 29 items demonstrated a good fit with the data (CFI=0.952, CMIN/DF=1.613, RMSEA=0.036). Availability and Accessibility, Communicational Skills, Office Environment, Recommendation by Others, Special Services, and Cost and Insurance were found to define the women's preferences in OB/GYN selection in private sector, Iran.
CONCLUSION CONCLUSIONS
The developed measurement model considers the patient's preferences that influence decision-making process on OB/GYN selection. It can provide useful knowledge for OB/GYNs and policymakers to design appropriate and efficient marketing strategies according to the consumer preferences priority.

Identifiants

pubmed: 32309456
doi: 10.30476/IJCBNM.2020.82278.1049
pii: IJCBNM-8-2
pmc: PMC7153421
doi:

Types de publication

Journal Article

Langues

eng

Pagination

150-163

Informations de copyright

Copyright: © International Journal of Community Based Nursing and Midwifery.

Références

Health Educ Behav. 2015 Apr;42(2):210-9
pubmed: 25156313
World J Surg. 2016 Jan;40(1):45-55
pubmed: 26362880
Mcgill J Med. 2011 Jun;13(1):72
pubmed: 22399872
Arch Gynecol Obstet. 2010 Mar;281(3):443-7
pubmed: 19669776
Am J Obstet Gynecol. 2007 Nov;197(5):548.e1-7
pubmed: 17980206
Chir Main. 2012 Apr;31(2):83-90
pubmed: 22365321
PLoS One. 2018 Jan 2;13(1):e0190472
pubmed: 29293614
J Obstet Gynaecol Res. 2015 Feb;41(2):283-93
pubmed: 25227636
Patient Prefer Adherence. 2018 Apr 12;12:551-560
pubmed: 29695897
J Immigr Minor Health. 2018 Feb;20(1):51-58
pubmed: 27796701
BMC Health Serv Res. 2012 Aug 22;12:272
pubmed: 22913549
Indian J Psychol Med. 2018 Jan-Feb;40(1):29-32
pubmed: 29403126
Obstet Gynecol. 2015 Nov;126(5):969-73
pubmed: 26444117
Jpn J Clin Oncol. 2017 Aug 1;47(8):713-719
pubmed: 28505271
J Am Osteopath Assoc. 2005 Aug;105(8):369-79
pubmed: 16166391
Patient Educ Couns. 2012 Nov;89(2):221-6
pubmed: 22819711
Health Care Women Int. 2012;33(9):849-76
pubmed: 22891743
Res Nurs Health. 2007 Aug;30(4):459-67
pubmed: 17654487
Patient Educ Couns. 2012 Feb;86(2):259-63
pubmed: 21680130
Womens Health Issues. 2018 May - Jun;28(3):281-285
pubmed: 29429946
Isr J Health Policy Res. 2015 Jun 01;4:13
pubmed: 26034576
J Telemed Telecare. 2017 Sep;23(8):693-700
pubmed: 27632990

Auteurs

Masood Setoodefar (M)

Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.

Hamed Tabesh (H)

Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.

Fatemeh Tara (F)

Patient Safety Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.

Saeed Eslami (S)

Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.

Fatemeh Heshmati Nabavi (F)

Nursing and Midwifery Care Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.

Najmeh Valizadeh Zare (N)

Nursing and Midwifery Care Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.

Seyyed Hassan Taheri (SH)

Department of Computer Sciences, School of Engineering, Khayyam University, Mashhad, Iran.

Mohammad Reza Rajabzadeh Moghaddam (MR)

Department of Pure Mathematics, Center of Excellence in Analysis on Algebraic Structures (CEAAS), Ferdowsi University, Mashhad, Iran.

Kobra Etminani (K)

Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.

Classifications MeSH