Literature DB >> 26993990

The patient satisfaction questionnaire of EUprimecare project: measurement properties.

Marta Cimas1, Alba Ayala1, Sonia García-Pérez2, Antonio Sarria-Santamera3, Maria João Forjaz4.   

Abstract

OBJECTIVE: The measurement of patient satisfaction is considered an essential outcome indicator to evaluate health care quality. Patient satisfaction is considered a multi-dimensional construct, which would include a variety of domains. Although a large number of studies have proposed scales to measure patient satisfaction, there is a lack of psychometric information on them. This study aims to describe the psychometric properties of the Primary Care Satisfaction Scale (PCSS) of the EUprimecare project.
DESIGN: A cross-sectional survey of patient satisfaction with primary care was carried out by telephone interview.
SETTING: Primary care services of Estonia, Finland, Germany, Hungary, Lithuania, Italy and Spain. PARTICIPANTS: A total of 3020 adult patients aged 18-65 years old attending primary care services.
METHOD: Classic psychometric properties were analysed and Rasch analysis was used to assess the following measurement properties: fit to the Rasch model; uni-dimensionality; reliability; differential item functioning (DIF) by gender, age, civil status, area of residency and country; local independency; adequacy of response scale; and scale targeting.
RESULTS: To achieve good fit to the Rasch model, the original response scales of three items (1, 2 and 6) were rescored and Item 3 (waiting time in the room) was removed. The scale was uni-dimensional and Person Separation Index was 0.79, indicating a good reliability. All items were free from bias. PCSS linear measure displayed satisfactory convergent validity with overall satisfaction with primary care.
CONCLUSIONS: PCSS, as a reliable and valid scale, could be used to measure patient satisfaction in primary care in Europe.
© The Author 2016. Published by Oxford University Press in association with the International Society for Quality in Health Care; all rights reserved.

Entities:  

Keywords:  Rasch analysis; patient satisfaction; primary care; scale validation

Mesh:

Year:  2016        PMID: 26993990     DOI: 10.1093/intqhc/mzw024

Source DB:  PubMed          Journal:  Int J Qual Health Care        ISSN: 1353-4505            Impact factor:   2.038


  4 in total

1.  Improved patient satisfaction and diagnostic accuracy in skin diseases with a Visual Clinical Decision Support System-A feasibility study with general practitioners.

Authors:  Eckhard W Breitbart; Kohelia Choudhury; Anders Daniel Andersen; Henriette Bunde; Marianne Breitbart; Antonia Maria Sideri; Susanne Fengler; John Robert Zibert
Journal:  PLoS One       Date:  2020-07-29       Impact factor: 3.240

2.  Analysis of Patient Satisfaction with Emergency Medical Services.

Authors:  Tatjana Kitić Jaklič; Jure Kovač; Matjaž Maletič; Ksenija Tušek Bunc
Journal:  Open Med (Wars)       Date:  2018-10-22

3.  A Systematic Review of Patient Satisfaction Scales and Their Applicability to Covid-19 Hospitalized Patients: Gaps and Emerging Needs.

Authors:  Sidhartha Satpathy; Laxmi Tej Wundaville; Sujata Satapathy; Apoorva Malik; Sheetal Singh; Angel Rajan Singh; Rakesh Chadda; Vijay Prasad Barre; Shraddhesh Kumar Tiwari
Journal:  J Patient Exp       Date:  2022-02-24

4.  Development of a universal short patient satisfaction questionnaire on the basis of SERVQUAL: Psychometric analyses with data of diabetes and stroke patients from six different European countries.

Authors:  Uwe Konerding; Tom Bowen; Sylvia G Elkhuizen; Raquel Faubel; Paul Forte; Eleftheria Karampli; Tomi Malmström; Elpida Pavi; Paulus Torkki
Journal:  PLoS One       Date:  2019-10-17       Impact factor: 3.240

  4 in total

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