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A methodological framework allows the identification of personomic markers to consider when designing personalized interventions.
Malmartel, Alexandre; Ravaud, Philippe; Tran, Viet-Thi.
Afiliación
  • Malmartel A; Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), F-75004 Paris, France; Département de Médecine Générale, Université Paris Cité, F-75014 Paris, France. Electronic address: alexandre.malmartel@u-paris.fr.
  • Ravaud P; Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), F-75004 Paris, France; Centre d'Epidémiologie Clinique, AP-HP, Hôpital Hôtel-Dieu, Paris, France.
  • Tran VT; Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), F-75004 Paris, France; Centre d'Epidémiologie Clinique, AP-HP, Hôpital Hôtel-Dieu, Paris, France.
J Clin Epidemiol ; 159: 235-245, 2023 07.
Article en En | MEDLINE | ID: mdl-37311514
ABSTRACT

OBJECTIVES:

To develop a methodological framework to identify and prioritize personomic markers (e.g., psychosocial situation, beliefs…) to consider for personalizing interventions and to test in smoking cessation interventions. STUDY DESIGN AND

SETTING:

(1) We identified potential personomic markers considered in protocols of personalized interventions, in reviews of predictors of smoking cessation, and in interviews with general practitioners. (2) Physicians, and patient smokers or former smokers selected the markers they considered most relevant during online paired comparison experiments. Data were analyzed with Bradley Terry Luce models.

RESULTS:

Thirty-six personomic markers were identified from research evidence. They were evaluated by 795 physicians (median age 34, IQR [30-38]; 95% general practitioners) and 793 patients (median age 54, IQR [42-64], 71.4% former smokers) during 11,963 paired comparisons. Physicians identified patients' motivation for quitting (e.g., Prochaska stages), patients' preferences, and patients' fears and beliefs (e.g., concerns about weight gain) as the most relevant elements to personalize smoking cessation. Patients considered their motivation for quitting, smoking behavior (e.g., smoking at home/at work), and tobacco dependence (e.g., Fagerström Test) as the most relevant elements to consider.

CONCLUSION:

We provide a methodological framework to prioritize which personomic markers should be considered when developing smoking cessation interventions.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Tabaquismo / Cese del Hábito de Fumar Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Adult / Humans / Middle aged Idioma: En Revista: J Clin Epidemiol Asunto de la revista: EPIDEMIOLOGIA Año: 2023 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Tabaquismo / Cese del Hábito de Fumar Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Adult / Humans / Middle aged Idioma: En Revista: J Clin Epidemiol Asunto de la revista: EPIDEMIOLOGIA Año: 2023 Tipo del documento: Article