BACKGROUND: There is little guidance about to how select dose parameter values when designing behavioral interventions. PURPOSE: The purpose of this study is to present approaches to inform intervention duration, frequency, and amount when (1) the investigator has no a priori expectation and is seeking a descriptive approach for identifying and narrowing the universe of dose values or (2) the investigator has an a priori expectation and is seeking validation of this expectation using an inferential approach. METHODS: Strengths and weaknesses of various approaches are described and illustrated with examples. RESULTS: Descriptive approaches include retrospective analysis of data from randomized trials, assessment of perceived optimal dose via prospective surveys or interviews of key stakeholders, and assessment of target patient behavior via prospective, longitudinal, observational studies. Inferential approaches include nonrandomized, early-phase trials and randomized designs. CONCLUSIONS: By utilizing these approaches, researchers may more efficiently apply resources to identify the optimal values of dose parameters for behavioral interventions.
BACKGROUND: There is little guidance about to how select dose parameter values when designing behavioral interventions. PURPOSE: The purpose of this study is to present approaches to inform intervention duration, frequency, and amount when (1) the investigator has no a priori expectation and is seeking a descriptive approach for identifying and narrowing the universe of dose values or (2) the investigator has an a priori expectation and is seeking validation of this expectation using an inferential approach. METHODS: Strengths and weaknesses of various approaches are described and illustrated with examples. RESULTS: Descriptive approaches include retrospective analysis of data from randomized trials, assessment of perceived optimal dose via prospective surveys or interviews of key stakeholders, and assessment of target patient behavior via prospective, longitudinal, observational studies. Inferential approaches include nonrandomized, early-phase trials and randomized designs. CONCLUSIONS: By utilizing these approaches, researchers may more efficiently apply resources to identify the optimal values of dose parameters for behavioral interventions.
Authors: William S Yancy; Eric C Westman; Jennifer R McDuffie; Steven C Grambow; Amy S Jeffreys; Jamiyla Bolton; Allison Chalecki; Eugene Z Oddone Journal: Arch Intern Med Date: 2010-01-25
Authors: Lauren A Waters; Elisabeth A Winkler; Marina M Reeves; Brianna S Fjeldsoe; Elizabeth G Eakin Journal: Int J Behav Nutr Phys Act Date: 2011-03-30 Impact factor: 6.457
Authors: Deborah F Tate; Leslie A Lytle; Nancy E Sherwood; Debra Haire-Joshu; Donna Matheson; Shirley M Moore; Catherine M Loria; Charlotte Pratt; Dianne S Ward; Steven H Belle; Susan Michie Journal: Transl Behav Med Date: 2016-06 Impact factor: 3.046
Authors: Corrine I Voils; Rachel Adler; Elizabeth Strawbridge; Janet Grubber; Kelli D Allen; Maren K Olsen; Megan A McVay; Sridharan Raghavan; Susan D Raffa; Luke M Funk Journal: Health Psychol Date: 2020-01-30 Impact factor: 4.267
Authors: Valerie Danesh; Julie A Zuñiga; Gayle M Timmerman; Kavita Radhakrishnan; Heather E Cuevas; Cara C Young; Ashley M Henneghan; Janet Morrison; Miyong T Kim Journal: Appl Nurs Res Date: 2020-08-25 Impact factor: 2.257
Authors: Tracy E Crane; Terry A Badger; Patrick O'Connor; Chris Segrin; Alexis Alvarez; Sarah J Freylersythe; Irlena Penaloza; Thaddeus W W Pace; Alla Sikorskii Journal: J Cancer Surviv Date: 2020-11-10 Impact factor: 4.442