Joachim Weis, Lucy Raphaela Wolf, Melanie Boerries, Daniela Kassahn, Martin Boeker, Carolin Dresch
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Scientific research in the development of mHealth services is required in order to meet the various needs of patients and test usability.</p><p><strong>Objective: </strong>The aim of this study is to assess patients' needs, preferences, and usability of an app (My University Clinic [MUC] app) developed by the Comprehensive Cancer Center Freiburg (CCCF) Germany.</p><p><strong>Methods: </strong>Based on a qualitative cross-sectional approach, we conducted semistructured interviews with patients with cancer, addressing their needs, preferences, and usability of the designed MUC app. Patients treated by the CCCF were recruited based on a purposive sampling technique focusing on age, sex, cancer diagnoses, and treatment setting (inpatient, outpatient). Data analysis followed the qualitative content analysis according to Kuckartz and was performed using computer-assisted software (MAXQDA).</p><p><strong>Results: </strong>For the interviews, 17 patients with cancer were selected, covering a broad range of sampling parameters. The results showed that patients expect benefits in terms of improved information about the disease and communication with the clinic staff. Demands for additional features were identified (eg, a list of contact persons and medication management). The most important concerns referred to data security and the potential restriction of personal contacts with health care professionals of the clinical departments of the CCCF. In addition, some features for improving the design of the MUC app with respect to usability or for inclusion of interacting tools were suggested by the patients.</p><p><strong>Conclusions: </strong>The results of this qualitative study were discussed within the multidisciplinary team and the MUC app providers. Patients' perspectives and needs will be included in further development of the MUC app. There will be a second study phase in which patients will receive a test version of the MUC app and will be asked about their experiences with it.</p><p><strong>Trial registration: </strong>Deutsches Register Klinischer Studien DRKS00022162; https://drks.de/search/de/trial/DRKS00022162.</p>","PeriodicalId":45538,"journal":{"name":"JMIR Cancer","volume":"9 ","pages":"e40891"},"PeriodicalIF":3.3000,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10415940/pdf/","citationCount":"0","resultStr":"{\"title\":\"Identification of the Needs and Preferences of Patients With Cancer for the Development of a Clinic App: Qualitative Study.\",\"authors\":\"Joachim Weis, Lucy Raphaela Wolf, Melanie Boerries, Daniela Kassahn, Martin Boeker, Carolin Dresch\",\"doi\":\"10.2196/40891\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Mobile health (mHealth) tools were developed during the past decades and are increasingly used by patients in cancer care too. 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引用次数: 0
摘要
背景:移动医疗(mHealth)工具是在过去几十年中发展起来的,并且越来越多地被癌症患者用于治疗。为了满足患者的各种需求和测试可用性,需要对移动医疗服务的发展进行科学研究。目的:本研究的目的是评估患者对德国弗莱堡综合癌症中心(CCCF)开发的一款应用程序(My University Clinic [MUC] app)的需求、偏好和可用性。方法:基于定性横断面方法,我们对癌症患者进行了半结构化访谈,了解他们的需求、偏好和设计的MUC应用程序的可用性。CCCF治疗的患者是基于有目的抽样技术招募的,重点是年龄、性别、癌症诊断和治疗环境(住院、门诊)。数据分析遵循Kuckartz的定性内容分析,采用计算机辅助软件(MAXQDA)进行。结果:访谈选取了17例癌症患者,采样参数范围广。结果表明,患者期望在改善疾病信息和与诊所工作人员沟通方面获益。确定了对附加功能的需求(例如,联系人列表和药物管理)。最重要的问题是数据安全和可能限制与CCCF临床部门的卫生保健专业人员的个人接触。此外,患者还提出了一些改进MUC应用程序设计的功能,包括可用性或包含交互工具。结论:本定性研究的结果在多学科团队和MUC应用程序提供商中进行了讨论。患者的观点和需求将被纳入MUC应用程序的进一步开发。在第二阶段的研究中,患者将收到MUC应用程序的测试版本,并将被问及他们的使用体验。试验注册:Deutsches Register Klinischer studen DRKS00022162;https://drks.de/search/de/trial/DRKS00022162。
Identification of the Needs and Preferences of Patients With Cancer for the Development of a Clinic App: Qualitative Study.
Background: Mobile health (mHealth) tools were developed during the past decades and are increasingly used by patients in cancer care too. Scientific research in the development of mHealth services is required in order to meet the various needs of patients and test usability.
Objective: The aim of this study is to assess patients' needs, preferences, and usability of an app (My University Clinic [MUC] app) developed by the Comprehensive Cancer Center Freiburg (CCCF) Germany.
Methods: Based on a qualitative cross-sectional approach, we conducted semistructured interviews with patients with cancer, addressing their needs, preferences, and usability of the designed MUC app. Patients treated by the CCCF were recruited based on a purposive sampling technique focusing on age, sex, cancer diagnoses, and treatment setting (inpatient, outpatient). Data analysis followed the qualitative content analysis according to Kuckartz and was performed using computer-assisted software (MAXQDA).
Results: For the interviews, 17 patients with cancer were selected, covering a broad range of sampling parameters. The results showed that patients expect benefits in terms of improved information about the disease and communication with the clinic staff. Demands for additional features were identified (eg, a list of contact persons and medication management). The most important concerns referred to data security and the potential restriction of personal contacts with health care professionals of the clinical departments of the CCCF. In addition, some features for improving the design of the MUC app with respect to usability or for inclusion of interacting tools were suggested by the patients.
Conclusions: The results of this qualitative study were discussed within the multidisciplinary team and the MUC app providers. Patients' perspectives and needs will be included in further development of the MUC app. There will be a second study phase in which patients will receive a test version of the MUC app and will be asked about their experiences with it.