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The Effects of Opt-out vs Opt-in Tobacco Treatment on Engagement, Cessation, and Costs: A Randomized Clinical Trial.
Richter, Kimber P; Catley, Delwyn; Gajewski, Byron J; Faseru, Babalola; Shireman, Theresa I; Zhang, Chuanwu; Scheuermann, Taneisha S; Mussulman, Laura M; Nazir, Niaman; Hutcheson, Tresza; Shergina, Elena; Ellerbeck, Edward F.
Afiliação
  • Richter KP; Department of Population Health, University of Kansas School of Medicine, Kansas City.
  • Catley D; Children's Mercy Hospitals and Clinics, Center for Children's Healthy Lifestyles & Nutrition, Kansas City, Missouri.
  • Gajewski BJ; Department of Biostatistics and Data Science, University of Kansas School of Medicine, Kansas City.
  • Faseru B; Department of Population Health, University of Kansas School of Medicine, Kansas City.
  • Shireman TI; Department of Health Services, Policy, and Practice, Brown University, Providence, Rhode Island.
  • Zhang C; Sanofi, Waltham, Massachusetts.
  • Scheuermann TS; Department of Population Health, University of Kansas School of Medicine, Kansas City.
  • Mussulman LM; Department of Population Health, University of Kansas School of Medicine, Kansas City.
  • Nazir N; Department of Population Health, University of Kansas School of Medicine, Kansas City.
  • Hutcheson T; Department of Population Health, University of Kansas School of Medicine, Kansas City.
  • Shergina E; Department of Biostatistics and Data Science, University of Kansas School of Medicine, Kansas City.
  • Ellerbeck EF; Department of Population Health, University of Kansas School of Medicine, Kansas City.
JAMA Intern Med ; 183(4): 331-339, 2023 04 01.
Article em En | MEDLINE | ID: mdl-36848129
ABSTRACT
Importance Tobacco use causes 7 million deaths per year; most national guidelines require people who use tobacco to opt in to care by affirming they are willing to quit. Use of medications and counseling is low even in advanced economy countries.

Objective:

To evaluate the efficacy of opt-out care vs opt-in care for people who use tobacco. Design, Setting, and

Participants:

In Changing the Default (CTD), a Bayesian adaptive population-based randomization trial, eligible patients were randomized into study groups, treated according to group assignment, and debriefed and consented for participation at 1-month follow-up. A total of 1000 adult patients were treated at a tertiary care hospital in Kansas City. Patients were randomized from September 2016 to September 2020; final follow-up was in March 2021.

Interventions:

At bedside, counselors screened for eligibility, conducted baseline assessment, randomized patients to study group, and provided opt-out care or opt-in care. Counselors and medical staff provided opt-out patients with inpatient nicotine replacement therapy, prescriptions for postdischarge medications, a 2-week medication starter kit, treatment planning, and 4 outpatient counseling calls. Patients could opt out of any or all elements of care. Opt-in patients willing to quit were offered each element of treatment described previously. Opt-in patients who were unwilling to quit received motivational counseling. Main Outcomes and

Measures:

The main outcomes were biochemically verified abstinence and treatment uptake at 1 month after randomization.

Results:

Of a total of 1000 eligible adult patients who were randomized, most consented and enrolled (270 [78%] of opt-in patients; 469 [73%] of opt-out patients). Adaptive randomization assigned 345 (64%) to the opt-out group and 645 (36%) to the opt-in group. The mean (SD) age at enrollment was 51.70 (14.56) for opt-out patients and 51.21 (14.80) for opt-out patients. Of 270 opt-in patients, 123 (45.56%) were female, and of 469 opt-out patients, 226 (48.19%) were female. Verified quit rates for the opt-out group vs the opt-in group were 22% vs 16% at month 1 and 19% vs 18% at 6 months. The Bayesian posterior probability that opt-out care was better than opt-in care was 0.97 at 1 month and 0.59 at 6 months. Treatment use for the opt-out group vs the opt-in group was 60% vs 34% for postdischarge cessation medication (bayesian posterior probability of 1.0), and 89% vs 37% for completing at least 1 postdischarge counseling call (bayesian posterior probability of 1.0). The incremental cost-effectiveness ratio was $678.60, representing the cost of each additional quit in the opt-out group. Conclusions and Relevance In this randomized clinical trial, opt-out care doubled treatment engagement and increased quit attempts, while enhancing patients' sense of agency and alliance with practitioners. Stronger and longer treatment could increase cessation. Trial Registration ClinicalTrials.gov Identifier NCT02721082.
Assuntos

Texto completo: 1 Coleções: 01-internacional Temas: Geral Base de dados: MEDLINE Assunto principal: Abandono do Hábito de Fumar Tipo de estudo: Clinical_trials / Guideline / Health_economic_evaluation / Prognostic_studies Limite: Adult / Female / Humans / Male Idioma: En Revista: JAMA Intern Med Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Temas: Geral Base de dados: MEDLINE Assunto principal: Abandono do Hábito de Fumar Tipo de estudo: Clinical_trials / Guideline / Health_economic_evaluation / Prognostic_studies Limite: Adult / Female / Humans / Male Idioma: En Revista: JAMA Intern Med Ano de publicação: 2023 Tipo de documento: Article