# Development and Validation of a Patient Satisfaction Questionnaire for Home-Based Radiography Services

## TL;DR

This study created and validated a questionnaire to measure patient satisfaction with home-based radiography services in Greece.

## Contribution

A new patient satisfaction questionnaire for home-based radiography was developed and validated with acceptable psychometric properties.

## Key findings

- A two-factor model explained 57.8% of the total variance in questionnaire responses.
- Cronbach’s alpha values of 0.74 and 0.71 confirmed acceptable internal consistency for the two factors.
- Bartlett’s test of sphericity was significant (p < 0.01), supporting the questionnaire’s construct validity.

## Abstract

Introduction: The increasing demand for home-based radiography services has highlighted the need for reliable tools to assess patient satisfaction. This study aimed to develop and psychometrically validate a patient-reported questionnaire to evaluate satisfaction with home-based radiography in Greece.

Methods: The questionnaire was developed through a literature review and expert consensus using two Delphi rounds, with items retained based on ≥80% agreement and a content validity ratio of >0.78. A cross-sectional validation study was conducted with 78 participants. Construct validity was assessed through exploratory factor analysis (EFA) with varimax rotation, and internal consistency was evaluated using Cronbach’s alpha.

Results: EFA identified a two-factor model that explained 57.8% of the total variance. Cronbach’s alpha values were 0.74 and 0.71 for the two factors, respectively. The Kaiser-Meyer-Olkin measure was 0.62, and Bartlett’s test of sphericity was significant (p < 0.01). These findings indicate acceptable construct validity and internal consistency for the proposed model.

Conclusions: The developed questionnaire demonstrated satisfactory psychometric properties, supporting its use in assessing patient satisfaction with home-based radiography services. Future studies should employ confirmatory factor analysis with larger and more diverse populations, as well as cross-cultural validation, to further strengthen the instrument’s applicability and generalizability.