Previously submitted to: Journal of Medical Internet Research (no longer under consideration since Oct 12, 2021)
Date Submitted: Aug 11, 2021
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Design of Cancer Pain Management App Modules: Using a Modified Delphi Process
ABSTRACT
Background:
Cancer pain is a significant public health issue. Mobile health offers improved and cost-effective care to people with cancer pain. However, the efficiency of engagement strategies and modules of this technology need to be reviewed and standardized according to expert perspectives. The use of applications (apps) for cancer pain management has increased over recent years. However, evidence regarding the efficacy and safety of these apps remains lacking. This study used the modified Delphi process on the design of cancer pain management apps.
Objective:
The study aimed to design the most agreed-upon modules for cancer pain management mobile apps.
Methods:
This study recruited experts in the domain of cancer pain management and applied a modified Delphi method to design the most relevant app modules. We used the positive coefficient and authority of expert indexes, such as the degree of coordination with expert opinions and other modules to test the reliability of the consultation. Cronbach’s α coefficient, content validity index (CVI), were used for data analysis.
Results:
A total of 23 experts with a mean age of 42.3 years (SD 5.7) consented to participate in the study. All of them had worked more than 10 years in the cancer pain management field. Overall, five app modules were generated. The Cronbach’s a coefficient was 0.81 for the overall scale.The scale-level CVI was 0.78.
Conclusions:
This study is the first in China to recruit a local panel of experts from the cancer pain management field. We used an iterative process to combine the experts’ opinions into a group consensus. The results of this study could benefit developers of health apps and inform future decision making on cancer pain management.
Citation
Request queued. Please wait while the file is being generated. It may take some time.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.