Blended Smoking Cessation Treatment: Exploring Measurement, Levels, and Predictors of Adherence

Autor: Marcel E. Pieterse, Lutz Siemer, Marjolein Brusse-Keizer, Somaya Ben Allouch, Angelos Patrinopoulos Bougioukas, Robbert Sanderman, Marloes G. Postel
Přispěvatelé: Clinical Psychology and Experimental Psychopathology, Psychology, Health & Technology
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Male
blended treatment
PROTOCOL
medicine.medical_specialty
020205 medical informatics
medicine.medical_treatment
media_common.quotation_subject
Health Informatics
02 engineering and technology
tobacco
smoking
Odds
law.invention
03 medical and health sciences
0302 clinical medicine
Randomized controlled trial
prevention
law
Internal medicine
SUPPORT
0202 electrical engineering
electronic engineering
information engineering

medicine
Humans
DEPRESSION TREATMENT
030212 general & internal medicine
adherence
Trial registration
COGNITIVE-BEHAVIORAL THERAPY
METAANALYSIS
media_common
Internet
Original Paper
business.industry
Odds ratio
Abstinence
RANDOMIZED CONTROLLED-TRIAL
ABSTINENCE
EFFICACY
cognitive behavioral therapy
Cognitive behavioral therapy
predictors
Smoking cessation
Marital status
Female
Smoking Cessation
MENTAL-HEALTH-CARE
business
SMOKERS
Zdroj: Journal of Medical Internet Research, 20(8):246. JMIR PUBLICATIONS, INC
Journal of medical internet research, 20(8):e246. JMIR Publications
Journal of Medical Internet Research
ISSN: 1438-8871
1439-4456
Popis: Background: Blended face-to-face and Web-based treatment is a promising way to deliver cognitive behavioral therapy. Since adherence has been shown to be a measure for treatment’s acceptability and a determinant for treatment’s effectiveness, in this study, we explored adherence to a new blended smoking cessation treatment (BSCT). Objective: The objective of our study was to (1) develop an adequate method to measure adherence to BSCT; (2) define an adequate degree of adherence to be used as a threshold for being adherent; (3) estimate adherence to BSCT; and (4) explore the possible predictors of adherence to BSCT. Methods: The data of patients (N=75) were analyzed to trace adherence to BSCT delivered at an outpatient smoking cessation clinic. In total, 18 patient activities (eg, using a Web-based smoking diary tool or responding to counselors’ messages) were selected to measure adherence; the degree of adherence per patient was compared with quitting success. The minimum degree of adherence of patients who reported abstinence was examined to define a threshold for the detection of adherent patients. The number of adherent patients was calculated for each of the 18 selected activities; the degree of adherence over the course of the treatment was displayed; and the number of patients who were adherent was analyzed. The relationship between adherence and 33 person-, smoking-, and health-related characteristics was examined. Results: The method for measuring adherence was found to be adequate as adherence to BSCT correlated with self-reported abstinence (P=.03). Patients reporting abstinence adhered to at least 61% of BSCT. Adherence declined over the course of the treatment; the percentage of adherent patients per treatment activity ranged from 82% at the start of the treatment to 11%-19% at the final-third of BSCT; applying a 61% threshold, 18% of the patients were classified as adherent. Marital status and social modeling were the best independent predictors of adherence. Patients having a partner had 11-times higher odds of being adherent (OR [odds ratio]=11.3; CI: 1.33-98.99; P=.03). For social modeling, graded from 0 (=partner and friends are not smoking) to 8 (=both partner and nearly all friends are smoking), each unit increase was associated with 28% lower odds of being adherent (OR=0.72; CI: 0.55-0.94; P=.02). Conclusions: The current study is the first to explore adherence to a blended face-to-face and Web-based treatment (BSCT) based on a substantial group of patients. It revealed a rather low adherence rate to BSCT. The method for measuring adherence to BSCT could be considered adequate because the expected dose-response relationship between adherence and quitting could be verified. Furthermore, this study revealed that marital status and social modeling were independent predictors of adherence. Trial Registration: Netherlands Trial Registry NTR5113; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=5113 (Archived by WebCite at http://www.webcitation.org/71BAPwER8).
Databáze: OpenAIRE