@Article{信息:doi 10.2196 / / jmir。9969，作者=“Siemer, Lutz和Brusse-Keizer, Marjolein GJ和Postel, Marloes G和Ben Allouch, Somaya和Patrinopoulos Bougioukas, Angelos和Sanderman, robert和Pieterse, Marcel E”，标题=“混合戒烟治疗:探索测量、水平和依从性的预测因素”，期刊=“J Med Internet Res”，年=“2018”，月=“8”，日=“01”，卷=“20”，数=“8”，页=“e246”，关键词=“混合治疗;吸烟;依从性;预测因子;烟草;预防;背景:面对面和基于网络的混合治疗是一种很有前途的认知行为治疗方式。由于依从性已被证明是治疗可接受性和治疗有效性的决定因素，在本研究中，我们探索了一种新的混合戒烟治疗(BSCT)的依从性。目的:本研究的目的是:(1)开发一种适当的方法来测量BSCT的依从性; (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). ", issn="1438-8871", doi="10.2196/jmir.9969", url="//www.mybigtv.com/2018/8/e246/", url="https://doi.org/10.2196/jmir.9969", url="http://www.ncbi.nlm.nih.gov/pubmed/30068503" }