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Digital Health Intervention in Acute Myocardial Infarction.
Marvel, Francoise A; Spaulding, Erin M; Lee, Matthias A; Yang, William E; Demo, Ryan; Ding, Jie; Wang, Jane; Xun, Helen; Shah, Lochan M; Weng, Daniel; Carter, Jocelyn; Majmudar, Maulik; Elgin, Eric; Sheidy, Julie; McLin, Renee; Flowers, Jennifer; Vilarino, Valerie; Lumelsky, David N; Bhardwaj, Vinayak; Padula, William V; Shan, Rongzi; Huynh, Pauline P; Wongvibulsin, Shannon; Leung, Curtis; Allen, Jerilyn K; Martin, Seth S.
Affiliation
  • Marvel FA; Digital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (F.A.M., E.M.S., J.D., J.W., H.X., L.M.S., D.W., V.V., D.N.L., R.S., P.P.H., S.W., S.S.M.).
  • Spaulding EM; Johns Hopkins University School of Medicine, Baltimore, MD (F.A.M., W.E.Y., J.D., J.W., H.X., L.M.S., D.W., P.P.H., S.W., J.K.A., S.S.M.).
  • Lee MA; Digital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (F.A.M., E.M.S., J.D., J.W., H.X., L.M.S., D.W., V.V., D.N.L., R.S., P.P.H., S.W., S.S.M.).
  • Yang WE; Johns Hopkins University School of Nursing, Baltimore, MD (E.M.S., W.V.P., J.K.A.).
  • Demo R; The Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (E.M.S., S.S.M.).
  • Ding J; Johns Hopkins University Whiting School of Engineering, Baltimore, MD (M.A.L., R.Y., S.S.M.).
  • Wang J; Johns Hopkins University School of Medicine, Baltimore, MD (F.A.M., W.E.Y., J.D., J.W., H.X., L.M.S., D.W., P.P.H., S.W., J.K.A., S.S.M.).
  • Xun H; Johns Hopkins University Whiting School of Engineering, Baltimore, MD (M.A.L., R.Y., S.S.M.).
  • Shah LM; Digital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (F.A.M., E.M.S., J.D., J.W., H.X., L.M.S., D.W., V.V., D.N.L., R.S., P.P.H., S.W., S.S.M.).
  • Weng D; Johns Hopkins University School of Medicine, Baltimore, MD (F.A.M., W.E.Y., J.D., J.W., H.X., L.M.S., D.W., P.P.H., S.W., J.K.A., S.S.M.).
  • Carter J; Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (J.D., V.B., J.K.A., S.S.M.).
  • Majmudar M; Digital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (F.A.M., E.M.S., J.D., J.W., H.X., L.M.S., D.W., V.V., D.N.L., R.S., P.P.H., S.W., S.S.M.).
  • Elgin E; Digital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (F.A.M., E.M.S., J.D., J.W., H.X., L.M.S., D.W., V.V., D.N.L., R.S., P.P.H., S.W., S.S.M.).
  • Sheidy J; Johns Hopkins University School of Medicine, Baltimore, MD (F.A.M., W.E.Y., J.D., J.W., H.X., L.M.S., D.W., P.P.H., S.W., J.K.A., S.S.M.).
  • McLin R; Digital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (F.A.M., E.M.S., J.D., J.W., H.X., L.M.S., D.W., V.V., D.N.L., R.S., P.P.H., S.W., S.S.M.).
  • Flowers J; Johns Hopkins University School of Medicine, Baltimore, MD (F.A.M., W.E.Y., J.D., J.W., H.X., L.M.S., D.W., P.P.H., S.W., J.K.A., S.S.M.).
  • Vilarino V; Digital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (F.A.M., E.M.S., J.D., J.W., H.X., L.M.S., D.W., V.V., D.N.L., R.S., P.P.H., S.W., S.S.M.).
  • Lumelsky DN; Johns Hopkins University School of Medicine, Baltimore, MD (F.A.M., W.E.Y., J.D., J.W., H.X., L.M.S., D.W., P.P.H., S.W., J.K.A., S.S.M.).
  • Bhardwaj V; Massachusetts General Hospital, Boston (J.C., M.M.).
  • Padula WV; Massachusetts General Hospital, Boston (J.C., M.M.).
  • Shan R; Harvard Medical School, Boston, MA (M.M.).
  • Huynh PP; Reading Hospital, West Reading, PA (E.E., J.S., R.M., J.F.).
  • Wongvibulsin S; Reading Hospital, West Reading, PA (E.E., J.S., R.M., J.F.).
  • Leung C; Reading Hospital, West Reading, PA (E.E., J.S., R.M., J.F.).
  • Allen JK; Reading Hospital, West Reading, PA (E.E., J.S., R.M., J.F.).
  • Martin SS; Digital Health Innovation Laboratory, Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (F.A.M., E.M.S., J.D., J.W., H.X., L.M.S., D.W., V.V., D.N.L., R.S., P.P.H., S.W., S.S.M.).
Circ Cardiovasc Qual Outcomes ; 14(7): e007741, 2021 07.
Article de En | MEDLINE | ID: mdl-34261332
ABSTRACT

BACKGROUND:

Thirty-day readmissions among patients with acute myocardial infarction (AMI) contribute to the US health care burden of preventable complications and costs. Digital health interventions (DHIs) may improve patient health care self-management and outcomes. We aimed to determine if patients with AMI using a DHI have lower 30-day unplanned all-cause readmissions than a historical control.

METHODS:

This nonrandomized controlled trial with a historical control, conducted at 4 US hospitals from 2015 to 2019, included 1064 patients with AMI (DHI n=200, control n=864). The DHI integrated a smartphone application, smartwatch, and blood pressure monitor to support guideline-directed care during hospitalization and through 30-days post-discharge via (1) medication reminders, (2) vital sign and activity tracking, (3) education, and (4) outpatient care coordination. The Patient Activation Measure assessed patient knowledge, skills, and confidence for health care self-management. All-cause 30-day readmissions were measured through administrative databases. Propensity score-adjusted Cox proportional hazard models estimated hazard ratios of readmission for the DHI group relative to the control group.

RESULTS:

Following propensity score adjustment, baseline characteristics were well-balanced between the DHI versus control patients (standardized differences <0.07), including a mean age of 59.3 versus 60.1 years, 30% versus 29% Women, 70% versus 70% White, 54% versus 54% with private insurance, 61% versus 60% patients with a non ST-elevation myocardial infarction, and 15% versus 15% with high comorbidity burden. DHI patients were predominantly in the highest levels of patient activation for health care self-management (mean score 71.7±16.6 at 30 days). The DHI group had fewer all-cause 30-day readmissions than the control group (6.5% versus 16.8%, respectively). Adjusting for hospital site and a propensity score inclusive of age, sex, race, AMI type, comorbidities, and 6 additional confounding factors, the DHI group had a 52% lower risk for all-cause 30-day readmissions (hazard ratio, 0.48 [95% CI, 0.26-0.88]). Similar results were obtained in a sensitivity analysis employing propensity matching.

CONCLUSIONS:

Our results suggest that in patients with AMI, the DHI may be associated with high patient activation for health care self-management and lower risk of all-cause unplanned 30-day readmissions. Registration URL https//www.clinicaltrials.gov; Unique identifier NCT03760796.
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Infarctus du myocarde sans sus-décalage du segment ST / Infarctus du myocarde Type d'étude: Clinical_trials / Diagnostic_studies / Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Limites: Female / Humans / Male / Middle aged Langue: En Journal: Circ Cardiovasc Qual Outcomes Sujet du journal: ANGIOLOGIA / CARDIOLOGIA Année: 2021 Type de document: Article

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Infarctus du myocarde sans sus-décalage du segment ST / Infarctus du myocarde Type d'étude: Clinical_trials / Diagnostic_studies / Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Limites: Female / Humans / Male / Middle aged Langue: En Journal: Circ Cardiovasc Qual Outcomes Sujet du journal: ANGIOLOGIA / CARDIOLOGIA Année: 2021 Type de document: Article