TY - JOUR
T1 - Predictors of Patient Engagement With an Interprofessional Lifestyle Medicine Program
AU - Cheng, Abby L.
AU - Dwivedi, Mollie E.
AU - Martin, Adriana
AU - Leslie, Christina G.
AU - Pashos, Madeline M.
AU - Donahue, Viola B.
AU - Huecker, Julia B.
AU - Salerno, Elizabeth A.
AU - Steger-May, Karen
AU - Hunt, Devyani M.
N1 - Publisher Copyright:
© Copyright 2023 The Author(s).
PY - 2023
Y1 - 2023
N2 - Background: Changes in lifestyle habits can reduce morbidity and mortality, but not everyone who can benefit from lifestyle intervention is ready to do so. Purpose: To describe characteristics of patients who did and did not engage with a lifestyle medicine program, and to identify predictors of engagement. Methods: This was a single-center, retrospective cohort study of 276 adult patients who presented for consultation to a goal-directed, individualized, interprofessional lifestyle medicine program. The primary outcome was patients’ extent of engagement. Candidate predictors considered in multivariable multinomial logistic regression models included baseline sociodemographic, psychological, and health-related variables. Results: A predictor of full engagement over no engagement was having private or Medicare insurance (rather than Medicaid, other, or no insurance) (OR 4.2 [95% CI 1.3-14.2], P =.021). A predictor of partial engagement over no engagement was having a primary goal to lose weight (OR 3.1 [1.1-8.4], P =.026). Conclusions: System-level efforts to support coverage of lifestyle medicine services by all insurers may improve equitable engagement with lifestyle medicine programs. Furthermore, when assessing patients’ readiness to engage with a lifestyle medicine program, clinicians should consider and address their goals of participation.
AB - Background: Changes in lifestyle habits can reduce morbidity and mortality, but not everyone who can benefit from lifestyle intervention is ready to do so. Purpose: To describe characteristics of patients who did and did not engage with a lifestyle medicine program, and to identify predictors of engagement. Methods: This was a single-center, retrospective cohort study of 276 adult patients who presented for consultation to a goal-directed, individualized, interprofessional lifestyle medicine program. The primary outcome was patients’ extent of engagement. Candidate predictors considered in multivariable multinomial logistic regression models included baseline sociodemographic, psychological, and health-related variables. Results: A predictor of full engagement over no engagement was having private or Medicare insurance (rather than Medicaid, other, or no insurance) (OR 4.2 [95% CI 1.3-14.2], P =.021). A predictor of partial engagement over no engagement was having a primary goal to lose weight (OR 3.1 [1.1-8.4], P =.026). Conclusions: System-level efforts to support coverage of lifestyle medicine services by all insurers may improve equitable engagement with lifestyle medicine programs. Furthermore, when assessing patients’ readiness to engage with a lifestyle medicine program, clinicians should consider and address their goals of participation.
KW - engagement
KW - goals
KW - insurance
KW - lifestyle medicine
KW - resource utilization
UR - http://www.scopus.com/inward/record.url?scp=85180459056&partnerID=8YFLogxK
U2 - 10.1177/15598276231222877
DO - 10.1177/15598276231222877
M3 - Article
C2 - 39464233
AN - SCOPUS:85180459056
SN - 1559-8276
JO - American Journal of Lifestyle Medicine
JF - American Journal of Lifestyle Medicine
ER -