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Evaluating the Implementation of a Digital Diabetes Prevention Program in an Integrated Health Care Delivery System Among Older Adults: Results of a Natural Experiment.
Fitzpatrick, Stephanie L; Mayhew, Meghan; Rawlings, Andreea M; Smith, Ning; Nyongesa, Denis B; Vollmer, William M; Stevens, Victor J; Grall, Sarah K; Fortmann, Stephen P.
Afiliação
  • Fitzpatrick SL; Kaiser Permanente Center for Health Research, Portland, OR.
  • Mayhew M; Kaiser Permanente Center for Health Research, Portland, OR.
  • Rawlings AM; Kaiser Permanente Center for Health Research, Portland, OR.
  • Smith N; Kaiser Permanente Center for Health Research, Portland, OR.
  • Nyongesa DB; Kaiser Permanente Center for Health Research, Portland, OR.
  • Vollmer WM; Kaiser Permanente Center for Health Research, Portland, OR.
  • Stevens VJ; Kaiser Permanente Center for Health Research, Portland, OR.
  • Grall SK; Kaiser Permanente Northwest, Portland, OR.
  • Fortmann SP; Kaiser Permanente Center for Health Research, Portland, OR.
Clin Diabetes ; 40(3): 345-353, 2022.
Article em En | MEDLINE | ID: mdl-35983414
The purpose of this natural experiment study was to assess the effectiveness of a 12-month digital Diabetes Prevention Program (DPP) for adults aged 65-75 years with prediabetes and obesity within a large, integrated health care system. Adjusting for propensity scores and covariates, patients who enrolled and participated in the digital DPP had a mean weight loss of 8.6 lb over 12 months and 5.7 lb by 24 months, compared with a steady, minimal weight loss of 1.3 lb over 12 months and 2.8 lb by 24 months among patients not enrolled. There was a significant difference in mean change in A1C between enrolled and nonenrolled patients over 12 months (-0.10%), but not by 24 months (-0.06%). Digital DPP appears to be an effective weight loss option and potential diabetes prevention intervention for older adults at high risk for type 2 diabetes.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Sysrev_observational_studies Idioma: En Revista: Clin Diabetes Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Sysrev_observational_studies Idioma: En Revista: Clin Diabetes Ano de publicação: 2022 Tipo de documento: Article