Applicability of a digital health application for cancer patients: a qualitative non-participation analysis.

IF 2.7 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES BMC Health Services Research Pub Date : 2024-10-05 DOI:10.1186/s12913-024-11654-0
Klara Pfeifer, Mitra Tewes, Stefan Kasper, Jörg Hense, Jan Franco, Martin Schuler, Christoph Schöbel, Gülay Ates
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Abstract

Background: The use of digital health applications (German acronym DiGA) for comprehensive patient care is increasing rapidly. Patients with non-organic insomnia can be prescribed an application to manage insomnia. Due to the high prevalence of insomnia in patients with cancer, we were interested in the effect of it and what barriers need to be overcome for its use. The focus of existing studies on acceptance and benefits prompted us to emphasise the analysis of barriers and thus to formulate possible solutions.

Methods: To analyse the barriers of use, the study population (patients with self-reported tiredness or sleep disturbance via validated instruments and cancer disease) was divided into 3 groups. In groups 1 (patients who refused to participate in advance) and 2 (patients who refused a prescription), short close-ended questionnaires were used for non-response assessment by treating oncologists. Problem-centred guidelines were used for the telephone interviews with group 3 (patients who did not provide information on DiGA use). Alternatively, group 3 was invited to complete and return the close-ended questionnaire. A quantitative analysis of the non-response reasons was conducted using SPSS in groups 1 and 2, while MAXQDA was used for the qualitative data in group 3.

Results: Patients refused to participate at several stages of our study. Quantitative data are available for groups 1 and 2. In the largest group 1, 62% of patients refused to participate due to non-subjective sleep disturbance (177 out of 189 patients) during recruitment by treating oncologists, despite high scores on the screening tool. In the small group 2 (11 out of 15), the most common reasons for withdrawal documented by the oncologists were loss of interest and deteriorating health. The problem-centred qualitative interviews with group 3 (17 patients) revealed that some of them used the prescribed DiGA, despite not being included in the main study and being categorized as lost to follow-up.

Conclusion: Analysis of barriers to DiGA use showed that reducing administrative barriers and providing digital and personal support can increase acceptance of the use of DiGAs among cancer patients. Additionally, screening tools can act as a door opener to further communication regarding DiGAs.

Trial registration: German Register of Clinical Trials DRKS00034198, registration date: 7/05/24 (retrospectively registered).

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癌症患者数字健康应用程序的适用性:非参与性定性分析。
背景:数字健康应用程序(德语缩写 DiGA)在患者综合护理方面的使用正在迅速增加。非器质性失眠患者可以使用应用程序来控制失眠。由于失眠在癌症患者中的发病率很高,我们对其效果以及使用时需要克服的障碍很感兴趣。现有研究的重点是接受度和益处,这促使我们强调对障碍的分析,从而制定可能的解决方案:为了分析使用障碍,我们将研究对象(通过有效工具自述疲倦或睡眠障碍并患有癌症的患者)分为三组。在第 1 组(事先拒绝参与的患者)和第 2 组(拒绝处方的患者)中,肿瘤科主治医师使用简短的封闭式问卷进行无应答评估。对第 3 组(未提供 DiGA 使用情况的患者)的电话访谈采用了以问题为中心的指南。此外,还邀请第 3 组患者填写并交回封闭式问卷。第一组和第二组使用 SPSS 对未回复原因进行定量分析,第三组则使用 MAXQDA 对定性数据进行分析:结果:患者在研究的多个阶段拒绝参与。第 1 组和第 2 组有定量数据。在规模最大的第 1 组中,尽管筛查工具得分较高,但有 62% 的患者(189 名患者中有 177 名)在肿瘤科医生招募时因非主观睡眠障碍而拒绝参与。在人数较少的第二组(15 人中有 11 人)中,肿瘤专家记录的最常见的退出原因是失去兴趣和健康状况恶化。对第 3 组(17 名患者)进行的以问题为中心的定性访谈显示,尽管他们未被纳入主要研究并被归类为失去随访的患者,但其中一些人使用了处方中的 DiGA:对使用 DiGA 的障碍进行的分析表明,减少行政障碍并提供数字和个人支持可提高癌症患者对使用 DiGA 的接受度。此外,筛查工具还能为进一步沟通DiGAs打开一扇门:德国临床试验注册中心 DRKS00034198,注册日期:7/05/24(回顾性注册)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Health Services Research
BMC Health Services Research 医学-卫生保健
CiteScore
4.40
自引率
7.10%
发文量
1372
审稿时长
6 months
期刊介绍: BMC Health Services Research is an open access, peer-reviewed journal that considers articles on all aspects of health services research, including delivery of care, management of health services, assessment of healthcare needs, measurement of outcomes, allocation of healthcare resources, evaluation of different health markets and health services organizations, international comparative analysis of health systems, health economics and the impact of health policies and regulations.
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