02556nas a2200289 4500000000100000008004100001260001600042653001900058653001300077653002500090653002800115653002200143653003200165100001500197700001800212700001200230700001100242700001200253700001100265700001500276700001300291245015500304856026000459300000700719520152600726022001402252 2025 d bElsevier BV10aDigital health10aOncology10aPatient Satisfaction10aPsychometric Validation10aHealth management10aExploratory Factor Analysis1 aPrakash GH1 aSunil Kumar D1 aKiran P1 aArun V1 aYadav D1 aGopi A1 aKulkarni P1 aRakesh M00a"A Comprehensive Tool for Evaluating Patient Satisfaction in mHealth: Development and Validation of the Digital Health Application Satisfaction Scale" uhttps://pdf.sciencedirectassets.com/783240/AIP/1-s2.0-S294987752500005X/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEF0aCXVzLWVhc3QtMSJGMEQCIEUeMFc%2FtoPYBpBMY2XiraOgk3RG5k%2FPL5J0t5jueJi%2BAiB%2FYZctuECJ3Ed1lFaarSaKsFdKP52AGcRPk5iQOGtz%2BSqzBQh2EAUaDDA a233 a

Background

Digital health applications have emerged as vital tools in healthcare delivery, particularly for older cancer patients. However, there is a lack of validated tools to assess user satisfaction with these platforms. This study aimed to develop and validate the Digital Health Application Satisfaction Scale for Patients (DHASSP) to evaluate patient satisfaction across key domains such as ease of use, quality of life impact, and emotional engagement.

Methods

This mixed-methods study included expert consultations, item development, content validation using 28 experts, and pilot testing with 40 oncology patients. Exploratory factor analysis (EFA) and reliability tests were performed to evaluate the scale’s psychometric properties.

Results

The DHASSP exhibited strong content validity (S-CVI/Ave = 0.857) and excellent reliability (Cronbach’s α = 0.907). EFA revealed a four-factor structure, accounting for 67.35% of the variance. The Quality-of-Life domain demonstrated the highest reliability (α = 0.795), while technical aspects scored lower (α = 0.551).

Conclusions

The DHASSP provides a comprehensive framework for evaluating satisfaction with digital health platforms, addressing usability, emotional engagement, and impact on quality of life. Its validation contributes to advancing the use of ICT in clinical care, particularly in oncology settings.

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