Talboom-Kamp Esther Pwa, Verdijk Noortje A, Kasteleyn Marise J, Harmans Lara M, Talboom Irvin Jsh, Numans Mattijs E, Chavannes Niels H
Public Health and Primary Care Department, Leiden University Medical Centre (LUMC), Leiden, Netherlands.
Saltro Diagnostic Centre, Utrecht, Netherlands.
J Med Internet Res. 2017 May 31;19(5):e185. doi: 10.2196/jmir.7037.
Worldwide, nearly 3 million people die of chronic obstructive pulmonary disease (COPD) every year. Integrated disease management (IDM) improves disease-specific quality of life and exercise capacity for people with COPD, but can also reduce hospital admissions and hospital days. Self-management of COPD through eHealth interventions has shown to be an effective method to improve the quality and efficiency of IDM in several settings, but it remains unknown which factors influence usage of eHealth and change in behavior of patients.
Our study, e-Vita COPD, compares different levels of integration of Web-based self-management platforms in IDM in three primary care settings. The main aim of this study is to analyze the factors that successfully promote the use of a self-management platform for COPD patients.
The e-Vita COPD study compares three different approaches to incorporating eHealth via Web-based self-management platforms into IDM of COPD using a parallel cohort design. Three groups integrated the platforms to different levels. In groups 1 (high integration) and 2 (medium integration), randomization was performed to two levels of personal assistance for patients (high and low assistance); in group 3 there was no integration into disease management (none integration). Every visit to the e-Vita and Zorgdraad COPD Web platforms was tracked objectively by collecting log data (sessions and services). At the first log-in, patients completed a baseline questionnaire. Baseline characteristics were automatically extracted from the log files including age, gender, education level, scores on the Clinical COPD Questionnaire (CCQ), dyspnea scale (MRC), and quality of life questionnaire (EQ5D). To predict the use of the platforms, multiple linear regression analyses for the different independent variables were performed: integration in IDM (high, medium, none), personal assistance for the participants (high vs low), educational level, and self-efficacy level (General Self-Efficacy Scale [GSES]). All analyses were adjusted for age and gender.
Of the 702 invited COPD patients, 215 (30.6%) registered to a platform. Of the 82 patients in group 1 (high integration IDM), 36 were in group 1A (personal assistance) and 46 in group 1B (low assistance). Of the 96 patients in group 2 (medium integration IDM), 44 were in group 2A (telephone assistance) and 52 in group 2B (low assistance). A total of 37 patients participated in group 3 (no integration IDM). In all, 107 users (49.8%) visited the platform at least once in the 15-month period. The mean number of sessions differed between the three groups (group 1: mean 10.5, SD 1.3; group 2: mean 8.8, SD 1.4; group 3: mean 3.7, SD 1.8; P=.01). The mean number of sessions differed between the high-assistance and low-assistance groups in groups 1 and 2 (high: mean 11.8, SD 1.3; low: mean 6.7, SD 1.4; F1,80=6.55, P=.01). High-assistance participants used more services (mean 45.4, SD 6.2) than low-assistance participants (mean 21.2, SD 6.8; F1,80=6.82, P=.01). No association was found between educational level and usage and between GSES and usage.
Use of a self-management platform is higher when participants receive adequate personal assistance about how to use the platform. Blended care, where digital health and usual care are integrated, will likely lead to increased use of the online program. Future research should provide additional insights into the preferences of different patient groups.
Nederlands Trial Register NTR4098; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=4098 (Archived by WebCite at http://www.webcitation.org/6qO1hqiJ1).
在全球范围内,每年有近300万人死于慢性阻塞性肺疾病(COPD)。综合疾病管理(IDM)可改善COPD患者特定疾病的生活质量和运动能力,还能减少住院次数和住院天数。通过电子健康干预对COPD进行自我管理已被证明是在多种环境中提高IDM质量和效率的有效方法,但尚不清楚哪些因素会影响电子健康的使用以及患者行为的改变。
我们的e-Vita COPD研究在三种初级保健环境中比较了基于网络的自我管理平台在IDM中的不同整合水平。本研究的主要目的是分析成功促进COPD患者使用自我管理平台的因素。
e-Vita COPD研究采用平行队列设计,比较了通过基于网络的自我管理平台将电子健康纳入COPD的IDM的三种不同方法。三组将平台整合到不同水平。在第1组(高整合)和第2组(中等整合)中,对患者进行了两种水平的个人协助随机分组(高协助和低协助);在第3组中未整合到疾病管理中(无整合)。通过收集日志数据(会话和服务)客观跟踪对e-Vita和Zorgdraad COPD网络平台的每次访问。在首次登录时,患者完成一份基线问卷。从日志文件中自动提取基线特征,包括年龄、性别、教育水平、临床COPD问卷(CCQ)得分、呼吸困难量表(MRC)和生活质量问卷(EQ5D)得分。为预测平台的使用情况,对不同自变量进行了多元线性回归分析:IDM中的整合(高、中、无)、参与者的个人协助(高与低)、教育水平和自我效能水平(一般自我效能量表[GSES])。所有分析均针对年龄和性别进行了调整。
在702名受邀的COPD患者中,215名(30.6%)注册到一个平台。在第1组(高整合IDM)的82名患者中,36名在1A组(个人协助),46名在1B组(低协助)。在第2组(中等整合IDM)的96名患者中,44名在2A组(电话协助),52名在2B组(低协助)。共有37名患者参与了第3组(无整合IDM)。在15个月期间,共有107名用户(49.8%)至少访问过一次该平台。三组之间的平均会话次数不同(第1组:平均10.5,标准差1.3;第2组:平均8.8,标准差1.4;第3组:平均3.7,标准差1.8;P = 0.01)。第1组和第2组中高协助组和低协助组之间的平均会话次数不同(高:平均11.8,标准差1.3;低:平均6.7,标准差1.4;F1,80 = 6.55,P = 0.01)。高协助参与者使用的服务(平均45.4,标准差6.2)比低协助参与者(平均21.2,标准差6.8;F1,80 = 6.82,P = 0.01)更多。未发现教育水平与使用情况之间以及GSES与使用情况之间存在关联。
当参与者获得关于如何使用平台的充分个人协助时,自我管理平台的使用率更高。将数字健康与常规护理相结合的混合护理可能会导致在线项目的使用增加。未来的研究应进一步深入了解不同患者群体的偏好。
荷兰试验注册NTR4098;http://www.trialregister.nl/trialreg/admin/rctview.asp?TC = 4098(由WebCite存档于http://www.webcitation.org/6qO1hqiJ1)