Lim Dwight Su Chun, Kwok Benedict, Williams Patricia, Koczwara Bogda
College of Medicine and Public Health, Flinders University, Adelaide, Australia.
Flinders Digital Health Research Centre, Flinders University, Adelaide, Australia.
JMIR Cancer. 2023 Nov 22;9:e45145. doi: 10.2196/45145.
Self-management (SM) plays an important role in supporting patients' adaptation to and management of the symptoms of chronic diseases. Cancer is a chronic disease that requires patients to have responsibility in management. Digital technology has the potential to enhance SM support, but there is little data on what SM skills are most commonly supported by digital technology.
This review aimed to examine the SM core skills that were enabled and supported by digital interventions in people with cancer and identify any predictors of the effect of digital health intervention on SM core skills.
Three electronic databases (MEDLINE, Scopus, and CINAHL) were searched for papers, published from January 2010 to February 2022, that reported randomized controlled trials (RCTs) involving patients with cancer or survivors of cancer where a digital technology intervention was evaluated and change in 1 or more SM core skills was a measured outcome.
This systematic review resulted in 12 studies that were eligible to identify which SM core skills were enabled and supported by digital intervention. The total number of participants in the 12 studies was 2627. The most common SM core skills targeted by interventions were decision-making, goal setting, and partnering with health professionals. A total of 8 (67%) out of 12 RCTs demonstrated statistically significant improvement in outcomes including self-efficacy, survivorship care knowledge and attitude, quality of life, increased knowledge of treatment, and emotional and social functioning. A total of 5 (62%) out of 8 positive RCTs used theoretical considerations in their study design; whereas in 1 (25%) out of 4 negative RCTs, theoretical considerations were used. In 3 studies, some factors were identified that were associated with the development of SM core skills, which included younger age (regression coefficient [RC]=-0.06, 95% CI -0.10 to -0.02; P=.002), computer literacy (RC=-0.20, 95% CI -0.37 to -0.03; P=.02), completing cancer treatment (Cohen d=0.31), male sex (SD 0.34 in social functioning; P=.009), higher education (SD 0.19 in social functioning; P=.04), and being a recipient of chemotherapy (SD 0.36 in depression; P=.008). In all 3 studies, there were no shared identical factors that supported the development of SM core skills, whereby each study had a unique set of factors that supported the development of SM core skills.
Digital technology for patients with cancer appears to improve SM core skills including decision-making, goal setting, and partnering with health care partners. This effect is greater in people who are younger, male, educated, highly computer literate, completing cancer treatment, or a recipient of chemotherapy. Future research should focus on targeting multiple SM core skills and identifying predictors of the effect of digital technology intervention.
PROSPERO CRD42021221922; https://tinyurl.com/mrx3pfax.
自我管理(SM)在支持患者适应和管理慢性病症状方面发挥着重要作用。癌症是一种慢性病,需要患者在管理中承担责任。数字技术有潜力加强自我管理支持,但关于数字技术最常支持哪些自我管理技能的数据很少。
本综述旨在研究数字干预在癌症患者中所启用和支持的自我管理核心技能,并确定数字健康干预对自我管理核心技能影响的任何预测因素。
检索了三个电子数据库(MEDLINE、Scopus和CINAHL),查找2010年1月至2022年2月发表的报告随机对照试验(RCT)的论文,这些试验涉及癌症患者或癌症幸存者,其中评估了数字技术干预,且1项或多项自我管理核心技能的变化为测量结果。
该系统评价产生了12项符合条件的研究,以确定数字干预启用和支持了哪些自我管理核心技能。这12项研究的参与者总数为2627人。干预针对的最常见自我管理核心技能是决策、目标设定以及与医疗专业人员合作。12项RCT中有8项(67%)在包括自我效能、生存护理知识和态度、生活质量、治疗知识增加以及情绪和社会功能等结果方面显示出统计学上的显著改善。8项阳性RCT中有5项(62%)在研究设计中使用了理论考量;而4项阴性RCT中有1项(25%)使用了理论考量。在3项研究中,确定了一些与自我管理核心技能发展相关的因素,包括年龄较小(回归系数[RC]=-0.06,95%CI -0.10至-0.02;P=0.002)、计算机素养(RC=-0.20,95%CI -0.37至-0.03;P=0.02)、完成癌症治疗(Cohen d=0.31)、男性(社会功能标准差为0.34;P=0.009)、高等教育(社会功能标准差为0.19;P=0.04)以及接受化疗(抑郁标准差为0.36;P=)。在所有3项研究中,没有共同支持自我管理核心技能发展的相同因素,每项研究都有一组独特的支持自我管理核心技能发展的因素。
针对癌症患者的数字技术似乎能改善自我管理核心技能,包括决策、目标设定以及与医疗保健伙伴合作。这种效果在年龄较小、男性、受过教育、计算机素养高、完成癌症治疗或接受化疗的人群中更为明显。未来的研究应侧重于针对多种自我管理核心技能,并确定数字技术干预效果的预测因素。
PROSPERO CRD42021221922;https://tinyurl.com/mrx3pfax 。