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
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