Who Follows eHealth Interventions as Recommended? A Study of Participants' Personal Characteristics From the Experimental Arm of a Randomized Controlled Trial
Autor: | Stef P. J. Kremers, Hein de Vries, Daniela N Schulz, Rik Crutzen, Dominique Alexandra Reinwand |
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Přispěvatelé: | Health promotion, RS: CAPHRI School for Public Health and Primary Care, RS: NUTRIM - R1 - Metabolic Syndrome, RS: CAPHRI - R6 - Promoting Health & Personalised Care |
Jazyk: | angličtina |
Rok vydání: | 2015 |
Předmět: |
Gerontology
multiple health behaviors Male Cost effectiveness medicine.medical_treatment Cost-Benefit Analysis Health Behavior Psychological intervention ECONOMIC-EVALUATION computer tailoring law.invention COST-EFFECTIVENESS Cohort Studies Randomized controlled trial health lifestyle law Vegetables SOCIOECONOMIC-STATUS Prospective Studies Randomized Controlled Trials as Topic intervention adherence Web-based intervention lcsh:Public aspects of medicine Behavior change Age Factors Middle Aged INFORMATION-SEEKING Telemedicine LIFE-STYLE INTERVENTION lcsh:R858-859.7 Female Cohort study Adult medicine.medical_specialty PRINT COMMUNICATION Alcohol Drinking Health Informatics Motor Activity lcsh:Computer applications to medicine. Medical informatics DIGITAL DIVIDE intervention use socioeconomic status personal characteristics Sex Factors Intervention (counseling) medicine eHealth Humans Life Style TAILORED PHYSICAL-ACTIVITY Original Paper Internet Marital Status business.industry lcsh:RA1-1270 Logistic Models Unemployment Fruit HEALTH-BEHAVIOR-CHANGE Physical therapy Quality of Life Smoking cessation Patient Compliance INTERNET USE Smoking Cessation business Risk Reduction Behavior |
Zdroj: | Journal of Medical Internet Research Journal of Medical Internet Research, Vol 17, Iss 5, p e115 (2015) Journal of Medical Internet Research, 17(5):e115. JMIR Publications Inc. |
ISSN: | 1438-8871 1439-4456 |
Popis: | Background: Computer-tailored eHealth interventions to improve health behavior have been demonstrated to be effective and cost-effective if they are used as recommended. However, different subgroups may use the Internet differently, which might also affect intervention use and effectiveness. To date, there is little research available depicting whether adherence to intervention recommendations differs according to personal characteristics. Objective: The aim was to assess which personal characteristics are associated with using an eHealth intervention as recommended. Methods: A randomized controlled trial was conducted among a sample of the adult Dutch population (N=1638) testing an intervention aimed at improving 5 healthy lifestyle behaviors: increasing fruit and vegetable consumption, increasing physical activity, reducing alcohol intake, and promoting smoking cessation. Participants were asked to participate in those specific online modules for which they did not meet the national guideline(s) for the respective behavior(s). Participants who started with fewer than the recommended number of modules of the intervention were defined as users who did not follow the intervention recommendation. Results: The fewer modules recommended to participants, the better participants adhered to the intervention modules. Following the intervention recommendation increased when participants were older (χ 2 1 =39.8, P |
Databáze: | OpenAIRE |
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