scholarly journals Preventing Smoking Relapse After a Clinical Smoking Cessation Program - A Mixed Methods Case Study Evaluation of a Facebook-Based Peer-Support Platform

2020 ◽  
Author(s):  
Naohi Isse ◽  
Yuki Tachibana ◽  
Makiko Kinoshita ◽  
Michael D Fetters

Abstract Background: Smoking-relapse prevention after completion of a smoking cessation program is highly germane to reducing smoking rates. The purpose of this study was to 1) evaluate the one-year outcomes of a social media-based and peer-supported smoking cessation program on Facebook and 2) examine communication patterns that could support smoking cessation and identify risk of relapse.Methods: We utilized a mixed-methods case study evaluation approach featuring a single-case holistic design. We recruited volunteers who signed up after successful completion of a 12-week clinical smoking cessation program in a general medicine department in Japan. The participants accessed a closed Facebook page, and we analyzed their posts including text and emoticons. We utilized joint display analysis which involved iterative structuring and restructuring construct-specific tables with both types of data to find the most effective approach for integrating the quantitative results with the qualitative results of content analysis. Results: One successful participant and two relapse participants were analyzed to explore the specific patterns of postings. Decisive comments about quitting smoking were common among participants, but encouraging messages for peers were more common from the successful participant. Comments for social support and reassurance were warning signs of relapse. Conflicted comments also may be a warning sign of relapse risk. Conclusions: These findings based on a mixed methods case study of a social media platform supporting smoking cessation could be utilized to guide messaging in other online social networking services communities after a smoking-cessation program to help reduce smoking relapse.Trial registration: The trial is registered at the UMIN Clinical Trials Registry. Registration number: UMIN000031172. Registered 28 February 2018, https://www.umin.ac.jp/ctr/index-j.htm

2020 ◽  
Author(s):  
Naohi Isse ◽  
Yuki Tachibana ◽  
Makiko Kinoshita ◽  
Michael D Fetters

BACKGROUND Smoking relapse prevention after completion of a smoking cessation program is highly germane to reducing smoking rates. OBJECTIVE The purpose of this study was to evaluate the 1-year outcomes of a social media–based and peer and clinician-supported smoking cessation program on Facebook and examine communication patterns that could support smoking cessation and identify risk of relapse. METHODS We used a mixed methods case study evaluation approach featuring a single-case holistic design. We recruited volunteers who signed up after successful completion of a 12-week clinical smoking cessation program in a general medicine department in Japan. Participants contemporaneously accessed a closed Facebook page, and we analyzed their posts including text and emoticons. We used joint display analysis, which involved iterative structuring and restructuring construct-specific tables with both types of data to find the most effective approach for integrating the quantitative results with the qualitative results of content analysis. RESULTS One successful participant and 2 relapsed participants were analyzed to explore the specific patterns of postings prior to relapse. Decisive comments about quitting smoking were common among participants, but encouraging messages for peers were more common from the successful participant. Comments seeking social support and reassurance were warning signs of relapse. Conflicted comments also may be a warning sign of relapse risk. CONCLUSIONS These findings based on a mixed methods case study of a social media platform supporting smoking cessation could be used to guide messaging in other online social networking service communities after a smoking cessation program to help reduce smoking relapse. CLINICALTRIAL UMIN Clinical Trials Registry UMIN000031172; https://upload.umin.ac.jp/cgi-open-bin/ctr/ctr_view.cgi?recptno=R000035595


10.2196/25883 ◽  
2021 ◽  
Vol 5 (9) ◽  
pp. e25883
Author(s):  
Naohi Isse ◽  
Yuki Tachibana ◽  
Makiko Kinoshita ◽  
Michael D Fetters

Background Smoking relapse prevention after completion of a smoking cessation program is highly germane to reducing smoking rates. Objective The purpose of this study was to evaluate the 1-year outcomes of a social media–based and peer and clinician-supported smoking cessation program on Facebook and examine communication patterns that could support smoking cessation and identify risk of relapse. Methods We used a mixed methods case study evaluation approach featuring a single-case holistic design. We recruited volunteers who signed up after successful completion of a 12-week clinical smoking cessation program in a general medicine department in Japan. Participants contemporaneously accessed a closed Facebook page, and we analyzed their posts including text and emoticons. We used joint display analysis, which involved iterative structuring and restructuring construct-specific tables with both types of data to find the most effective approach for integrating the quantitative results with the qualitative results of content analysis. Results One successful participant and 2 relapsed participants were analyzed to explore the specific patterns of postings prior to relapse. Decisive comments about quitting smoking were common among participants, but encouraging messages for peers were more common from the successful participant. Comments seeking social support and reassurance were warning signs of relapse. Conflicted comments also may be a warning sign of relapse risk. Conclusions These findings based on a mixed methods case study of a social media platform supporting smoking cessation could be used to guide messaging in other online social networking service communities after a smoking cessation program to help reduce smoking relapse. Trial Registration UMIN Clinical Trials Registry UMIN000031172; https://upload.umin.ac.jp/cgi-open-bin/ctr/ctr_view.cgi?recptno=R000035595


2018 ◽  
Vol 32 (8) ◽  
pp. 1119-1132 ◽  
Author(s):  
David J Clarke ◽  
Louisa-Jane Burton ◽  
Sarah F Tyson ◽  
Helen Rodgers ◽  
Avril Drummond ◽  
...  

Objective: To identify why the National Clinical Guideline recommendation of 45 minutes of each appropriate therapy daily is not met in many English stroke units. Design: Mixed-methods case-study evaluation, including modified process mapping, non-participant observations of service organisation and therapy delivery, documentary analysis and semi-structured interviews. Setting: Eight stroke units in four English regions. Subjects: Seventy-seven patients with stroke, 53 carers and 197 stroke unit staff were observed; 49 patients, 50 carers and 131 staff participants were interviewed. Results: Over 1000 hours of non-participant observations and 433 patient-specific therapy observations were undertaken. The most significant factor influencing amount and frequency of therapy provided was the time therapists routinely spent, individually and collectively, in information exchange. Patient factors, including fatigue and tolerance influenced therapists’ decisions about frequency and intensity, typically resulting in adaptation of therapy rather than no provision. Limited use of individual patient therapy timetables was evident. Therapist staffing levels were associated with differences in therapy provision but were not the main determinant of intensity and frequency. Few therapists demonstrated understanding of the evidence underpinning recommendations for increased therapy frequency and intensity. Units delivering more therapy had undertaken patient-focused reorganisation of therapists’ working practices, enabling them to provide therapy consistent with guideline recommendations. Conclusion: Time spent in information exchange impacted on therapy provision in stroke units. Reorganisation of therapists’ work improved alignment with guidelines.


Seizure ◽  
2021 ◽  
Author(s):  
G. Locatelli ◽  
D. Ausili ◽  
V. Stubbings ◽  
S. Di Mauro ◽  
M. Luciani

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