A. Cheng, Mollie E Dwivedi, Adriana Martin, Christina G Leslie, Madeline Pashos, Viola B Donahue, Julia B Huecker, Elizabeth A Salerno, Karen Steger-May, Devyani M Hunt
{"title":"患者参与跨专业生活方式医学计划的预测因素","authors":"A. Cheng, Mollie E Dwivedi, Adriana Martin, Christina G Leslie, Madeline Pashos, Viola B Donahue, Julia B Huecker, Elizabeth A Salerno, Karen Steger-May, Devyani M Hunt","doi":"10.1177/15598276231222877","DOIUrl":null,"url":null,"abstract":"Changes in lifestyle habits can reduce morbidity and mortality, but not everyone who can benefit from lifestyle intervention is ready to do so. To describe characteristics of patients who did and did not engage with a lifestyle medicine program, and to identify predictors of engagement. 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. 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). 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.","PeriodicalId":47480,"journal":{"name":"American Journal of Lifestyle Medicine","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2023-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predictors of Patient Engagement With an Interprofessional Lifestyle Medicine Program\",\"authors\":\"A. Cheng, Mollie E Dwivedi, Adriana Martin, Christina G Leslie, Madeline Pashos, Viola B Donahue, Julia B Huecker, Elizabeth A Salerno, Karen Steger-May, Devyani M Hunt\",\"doi\":\"10.1177/15598276231222877\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Changes in lifestyle habits can reduce morbidity and mortality, but not everyone who can benefit from lifestyle intervention is ready to do so. To describe characteristics of patients who did and did not engage with a lifestyle medicine program, and to identify predictors of engagement. 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. 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). 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.\",\"PeriodicalId\":47480,\"journal\":{\"name\":\"American Journal of Lifestyle Medicine\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2023-12-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American Journal of Lifestyle Medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/15598276231222877\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Lifestyle Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/15598276231222877","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Predictors of Patient Engagement With an Interprofessional Lifestyle Medicine Program
Changes in lifestyle habits can reduce morbidity and mortality, but not everyone who can benefit from lifestyle intervention is ready to do so. To describe characteristics of patients who did and did not engage with a lifestyle medicine program, and to identify predictors of engagement. 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. 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). 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.