{"title":"Assessing the Needs of Patients with Cancer and Healthcare Professionals for a Digital Pain Management System: A Qualitative Study.","authors":"Xiaotong Xie, Xue Gao, Hui Wang, Binghua Li, Yan Wang, Xiaodong Jiao, Xiaowan Xv, Lingjun Zhou","doi":"10.2147/PPA.S506756","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To understand the willingness of patients and healthcare workers to use, as well as their needs for, an intelligent cancer pain management platform. The findings will serve as a reference for developing cancer pain management tools in China.</p><p><strong>Methods: </strong>A Purposive sampling was used to conduct semi-structured interviews from March to June 2024 with patients experiencing chronic cancer pain, their family members, and healthcare workers in the oncology departments of two tertiary grade A hospitals in Shanghai, China. Data were analyzed using the Colaizzi's seven-step analysis.</p><p><strong>Results: </strong>The needs of patients and healthcare workers for a cancer pain management app were categorized into five themes, namely, recording of pain status, medication reminders, health education, social support, and artificial intelligence assistance.</p><p><strong>Conclusion: </strong>Future development of an advanced cancer pain management platform must address the multiple challenges currently faced in out-of-hospital cancer pain management, while also considering the needs and preferences of patients and healthcare workers. The platform should integrate features such as visualization of patients' pain trends, online medical education, peer support, real-time counseling, artificial intelligence assistance, and guidance for at-home self-management and supervision.</p>","PeriodicalId":19972,"journal":{"name":"Patient preference and adherence","volume":"19 ","pages":"605-614"},"PeriodicalIF":2.0000,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11921792/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Patient preference and adherence","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/PPA.S506756","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: To understand the willingness of patients and healthcare workers to use, as well as their needs for, an intelligent cancer pain management platform. The findings will serve as a reference for developing cancer pain management tools in China.
Methods: A Purposive sampling was used to conduct semi-structured interviews from March to June 2024 with patients experiencing chronic cancer pain, their family members, and healthcare workers in the oncology departments of two tertiary grade A hospitals in Shanghai, China. Data were analyzed using the Colaizzi's seven-step analysis.
Results: The needs of patients and healthcare workers for a cancer pain management app were categorized into five themes, namely, recording of pain status, medication reminders, health education, social support, and artificial intelligence assistance.
Conclusion: Future development of an advanced cancer pain management platform must address the multiple challenges currently faced in out-of-hospital cancer pain management, while also considering the needs and preferences of patients and healthcare workers. The platform should integrate features such as visualization of patients' pain trends, online medical education, peer support, real-time counseling, artificial intelligence assistance, and guidance for at-home self-management and supervision.
期刊介绍:
Patient Preference and Adherence is an international, peer reviewed, open access journal that focuses on the growing importance of patient preference and adherence throughout the therapeutic continuum. The journal is characterized by the rapid reporting of reviews, original research, modeling and clinical studies across all therapeutic areas. Patient satisfaction, acceptability, quality of life, compliance, persistence and their role in developing new therapeutic modalities and compounds to optimize clinical outcomes for existing disease states are major areas of interest for the journal.
As of 1st April 2019, Patient Preference and Adherence will no longer consider meta-analyses for publication.