Usage of a Generic Web-Based Self-Management Intervention for Breast Cancer Survivors: Substudy Analysis of the BREATH Trial

被引:42
作者
van den Berg, Sanne W. [1 ]
Peters, Esmee J. [2 ]
Kraaijeveld, J. Frank [3 ]
Gielissen, Marieke F. M. [1 ]
Prins, Judith B. [1 ]
机构
[1] Radboud Univ Nijmegen, Med Ctr, Dept Med Psychol, NL-6500 HB Nijmegen, Netherlands
[2] Radboud Univ Nijmegen, Med Ctr, Dept Med Oncol, NL-6500 HB Nijmegen, Netherlands
[3] IPPZ, ICT & Consultancy Healthcare, Utrecht, Netherlands
关键词
usage evaluation; usage statistics; intervention adherence; user groups; exposure; Internet; Web-based intervention; breast cancer; log file analysis; website use; HOSPITAL ANXIETY; DEPRESSION SCALE; INTERNET; ADHERENCE; DISTRESS; TRAJECTORIES; ADJUSTMENT; EXPOSURE; IMPACT;
D O I
10.2196/jmir.2566
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Generic fully automated Web-based self-management interventions are upcoming, for example, for the growing number of breast cancer survivors. It is hypothesized that the use of these interventions is more individualized and that users apply a large amount of self-tailoring. However, technical usage evaluations of these types of interventions are scarce and practical guidelines are lacking. Objective: To gain insight into meaningful usage parameters to evaluate the use of generic fully automated Web-based interventions by assessing how breast cancer survivors use a generic self-management website. Final aim is to propose practical recommendations for researchers and information and communication technology (ICT) professionals who aim to design and evaluate the use of similar Web-based interventions. Methods: The BREAst cancer ehealTH (BREATH) intervention is a generic unguided fully automated website with stepwise weekly access and a fixed 4-month structure containing 104 intervention ingredients (ie, texts, tasks, tests, videos). By monitoring https-server requests, technical usage statistics were recorded for the intervention group of the randomized controlled trial. Observed usage was analyzed by measures of frequency, duration, and activity. Intervention adherence was defined as continuous usage, or the proportion of participants who started using the intervention and continued to log in during all four phases. By comparing observed to minimal intended usage (frequency and activity), different user groups were defined. Results: Usage statistics for 4 months were collected from 70 breast cancer survivors (mean age 50.9 years). Frequency of logins/person ranged from 0 to 45, total duration/person from 0 to 2324 minutes (38.7 hours), and activity from opening none to all intervention ingredients. 31 participants continued logging in to all four phases resulting in an intervention adherence rate of 44.3% (95% CI 33.2-55.9). Nine nonusers (13%), 30 low users (43%), and 31 high users (44%) were defined. Low and high users differed significantly on frequency (P<.001), total duration (P<.001), session duration (P=.009), and activity (P<.001). High users logged in an average of 21 times, had a mean session duration of 33 minutes, and opened on average 91% of all ingredients. Signing the self-help contract (P<.001), reporting usefulness of ingredients (P=.003), overall satisfaction (P=.028), and user friendliness evaluation (P=.003) were higher in high users. User groups did not differ on age, education, and baseline distress. Conclusions: By reporting the usage of a self-management website for breast cancer survivors, the present study gained first insight into the design of usage evaluations of generic fully automated Web-based interventions. It is recommended to (1) incorporate usage statistics that reflect the amount of self-tailoring applied by users, (2) combine technical usage statistics with self-reported usefulness, and (3) use qualitative measures. Also, (4) a pilot usage evaluation should be a fixed step in the development process of novel Web-based interventions, and (5) it is essential for researchers to gain insight into the rationale of recorded and nonrecorded usage statistics.
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页数:11
相关论文
共 38 条
  • [1] Afshari M, 2011, SCI RES ESSAYS, V6, P1992
  • [2] Evaluation of screening instruments for depression and anxiety in breast cancer survivors
    Alexander, Susanna
    Palmer, Clare
    Stone, Patrick C.
    [J]. BREAST CANCER RESEARCH AND TREATMENT, 2010, 122 (02) : 573 - 578
  • [3] Defining Hospital Anxiety and Depression Scale (HADS) structure by confirmatory factor analysis: a contribution to validation for oncological settings
    Annunziata, M. A.
    Muzzatti, B.
    Altoe, G.
    [J]. ANNALS OF ONCOLOGY, 2011, 22 (10) : 2330 - 2333
  • [4] [Anonymous], 2009, Communications of the Association for Information Systems
  • [5] [Anonymous], CA CANC J CLIN, DOI DOI 10.3322/CAAC.20107
  • [6] Defining Internet-Supported Therapeutic Interventions
    Barak, Azy
    Klein, Britt
    Proudfoot, Judith G.
    [J]. ANNALS OF BEHAVIORAL MEDICINE, 2009, 38 (01) : 4 - 17
  • [7] Beatty L., 2011, E-J Appl Psychol, V7, DOI [DOI 10.7790/EJAP.V7I2.256, 10.7790/ejap.v7i2.256]
  • [8] How User Characteristics Affect Use Patterns in Web-Based Illness Management Support for Patients with Breast and Prostate Cancer
    Borosund, Elin
    Cvancarova, Milada
    Ekstedt, Mirjam
    Moore, Shirley M.
    Ruland, Cornelia M.
    [J]. JOURNAL OF MEDICAL INTERNET RESEARCH, 2013, 15 (03) : 15 - 33
  • [9] Which Intervention Characteristics are Related to More Exposure to Internet-Delivered Healthy Lifestyle Promotion Interventions? A Systematic Review
    Brouwer, Wendy
    Kroeze, Willemieke
    Crutzen, Rik
    de Nooijer, Jascha
    de Vries, Nanne K.
    Brug, Johannes
    Oenema, Anke
    [J]. JOURNAL OF MEDICAL INTERNET RESEARCH, 2011, 13 (01) : 23 - 41
  • [10] Cappiello Michelle, 2007, Clin Nurs Res, V16, P278, DOI 10.1177/1054773807306553