Your browser doesn't support javascript.
Comparative Effectiveness of an Automated Text Messaging Service for Monitoring COVID-19 at Home.
Delgado, M Kit; Morgan, Anna U; Asch, David A; Xiong, Ruiying; Kilaru, Austin S; Lee, Kathleen C; Do, David; Friedman, Ari B; Meisel, Zachary F; Snider, Christopher K; Lam, Doreen; Parambath, Andrew; Wood, Christian; Wilson, Chidinma M; Perez, Michael; Chisholm, Deena L; Kelly, Sheila; O'Malley, Christina J; Mannion, Nancy; Huffenberger, Ann Marie; McGinley, Susan; Balachandran, Mohan; Khan, Neda; Mitra, Nandita; Chaiyachati, Krisda H.
  • Delgado MK; Center for Emergency Care Policy and Research, Department of Emergency Medicine, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, and Leonard Davis Institute of Health Economics, University of Pennsylvania, and Center for Health Care Innovation, University of
  • Morgan AU; Division of General Internal Medicine, Department of Medicine, Perelman School of Medicine and Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania (A.U.M.).
  • Asch DA; Division of General Internal Medicine, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Wharton School, and Leonard Davis Institute of Health Economics, University of Pennsylvania, and Center for Health Care Innovation, University of Pennsylvania Health System, Philad
  • Xiong R; Center for Emergency Care Policy and Research, Department of Emergency Medicine, and Division of General Internal Medicine, Department of Medicine, Perelman School of Medicine, and Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania (R.X.).
  • Kilaru AS; Center for Emergency Care Policy and Research, Department of Emergency Medicine, Perelman School of Medicine, and Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania (A.S.K., A.B.F., Z.F.M.).
  • Lee KC; Center for Emergency Care Policy and Research, Department of Emergency Medicine, Perelman School of Medicine, University of Pennsylvania, and Center for Health Care Innovation, University of Pennsylvania Health System, Philadelphia, Pennsylvania (K.C.L.).
  • Do D; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, and Center for Health Care Innovation, University of Pennsylvania Health System, Philadelphia, Pennsylvania (D.D.).
  • Friedman AB; Center for Emergency Care Policy and Research, Department of Emergency Medicine, Perelman School of Medicine, and Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania (A.S.K., A.B.F., Z.F.M.).
  • Meisel ZF; Center for Emergency Care Policy and Research, Department of Emergency Medicine, Perelman School of Medicine, and Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania (A.S.K., A.B.F., Z.F.M.).
  • Snider CK; Center for Health Care Innovation, University of Pennsylvania Health System, Philadelphia, Pennsylvania (C.K.S., D.L., A.P., M.P., C.J.O., M.B., N.K.).
  • Lam D; Center for Health Care Innovation, University of Pennsylvania Health System, Philadelphia, Pennsylvania (C.K.S., D.L., A.P., M.P., C.J.O., M.B., N.K.).
  • Parambath A; Center for Health Care Innovation, University of Pennsylvania Health System, Philadelphia, Pennsylvania (C.K.S., D.L., A.P., M.P., C.J.O., M.B., N.K.).
  • Wood C; Center for Emergency Care Policy and Research, Department of Emergency Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (C.W., C.M.W., D.L.C.).
  • Wilson CM; Center for Emergency Care Policy and Research, Department of Emergency Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (C.W., C.M.W., D.L.C.).
  • Perez M; Center for Health Care Innovation, University of Pennsylvania Health System, Philadelphia, Pennsylvania (C.K.S., D.L., A.P., M.P., C.J.O., M.B., N.K.).
  • Chisholm DL; Center for Emergency Care Policy and Research, Department of Emergency Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (C.W., C.M.W., D.L.C.).
  • Kelly S; Division of General Internal Medicine, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (S.K.).
  • O'Malley CJ; Center for Health Care Innovation, University of Pennsylvania Health System, Philadelphia, Pennsylvania (C.K.S., D.L., A.P., M.P., C.J.O., M.B., N.K.).
  • Mannion N; Center for Connected Care, University of Pennsylvania Health System, Philadelphia, Pennsylvania (N.M., A.M.H., S.M.).
  • Huffenberger AM; Center for Connected Care, University of Pennsylvania Health System, Philadelphia, Pennsylvania (N.M., A.M.H., S.M.).
  • McGinley S; Center for Connected Care, University of Pennsylvania Health System, Philadelphia, Pennsylvania (N.M., A.M.H., S.M.).
  • Balachandran M; Center for Health Care Innovation, University of Pennsylvania Health System, Philadelphia, Pennsylvania (C.K.S., D.L., A.P., M.P., C.J.O., M.B., N.K.).
  • Khan N; Center for Health Care Innovation, University of Pennsylvania Health System, Philadelphia, Pennsylvania (C.K.S., D.L., A.P., M.P., C.J.O., M.B., N.K.).
  • Mitra N; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, and Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania (N.M.).
  • Chaiyachati KH; Division of General Internal Medicine, Department of Medicine, Perelman School of Medicine, Leonard Davis Institute of Health Economics, University of Pennsylvania, and Center for Health Care Innovation and Center for Connected Care, University of Pennsylvania Health System, Philadelphia, Pennsylvan
Ann Intern Med ; 175(2): 179-190, 2022 02.
Article in English | MEDLINE | ID: covidwho-1579932
ABSTRACT

BACKGROUND:

Although most patients with SARS-CoV-2 infection can be safely managed at home, the need for hospitalization can arise suddenly.

OBJECTIVE:

To determine whether enrollment in an automated remote monitoring service for community-dwelling adults with COVID-19 at home ("COVID Watch") was associated with improved mortality.

DESIGN:

Retrospective cohort analysis.

SETTING:

Mid-Atlantic academic health system in the United States.

PARTICIPANTS:

Outpatients who tested positive for SARS-CoV-2 between 23 March and 30 November 2020. INTERVENTION The COVID Watch service consists of twice-daily, automated text message check-ins with an option to report worsening symptoms at any time. All escalations were managed 24 hours a day, 7 days a week by dedicated telemedicine clinicians. MEASUREMENTS Thirty- and 60-day outcomes of patients enrolled in COVID Watch were compared with those of patients who were eligible to enroll but received usual care. The primary outcome was death at 30 days. Secondary outcomes included emergency department (ED) visits and hospitalizations. Treatment effects were estimated with propensity score-weighted risk adjustment models.

RESULTS:

A total of 3488 patients enrolled in COVID Watch and 4377 usual care control participants were compared with propensity score weighted models. At 30 days, COVID Watch patients had an odds ratio for death of 0.32 (95% CI, 0.12 to 0.72), with 1.8 fewer deaths per 1000 patients (CI, 0.5 to 3.1) (P = 0.005); at 60 days, the difference was 2.5 fewer deaths per 1000 patients (CI, 0.9 to 4.0) (P = 0.002). Patients in COVID Watch had more telemedicine encounters, ED visits, and hospitalizations and presented to the ED sooner (mean, 1.9 days sooner [CI, 0.9 to 2.9 days]; all P < 0.001).

LIMITATION:

Observational study with the potential for unobserved confounding.

CONCLUSION:

Enrollment of outpatients with COVID-19 in an automated remote monitoring service was associated with reduced mortality, potentially explained by more frequent telemedicine encounters and more frequent and earlier presentation to the ED. PRIMARY FUNDING SOURCE Patient-Centered Outcomes Research Institute.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Remote Consultation / Text Messaging / COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: North America Language: English Journal: Ann Intern Med Year: 2022 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Remote Consultation / Text Messaging / COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: North America Language: English Journal: Ann Intern Med Year: 2022 Document Type: Article