Investigating patient engagement associations between a postdischarge texting programme and patient experience, readmission and revisit rates outcomes.


Journal

BMJ open
ISSN: 2044-6055
Titre abrégé: BMJ Open
Pays: England
ID NLM: 101552874

Informations de publication

Date de publication:
13 Mar 2024
Historique:
medline: 18 3 2024
pubmed: 15 3 2024
entrez: 14 3 2024
Statut: epublish

Résumé

This study aimed (1) to examine the association between patient engagement with a bidirectional, semiautomated postdischarge texting programme and Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey outcomes, readmissions and revisit rates in a large health system and (2) to describe operational and clinical flow considerations for implementing a postdischarge texting programme. The study involved 1 main academic hospital (beds: 2500+) and 6 community hospitals (beds: 190-400, averaging 300 beds per hospital) in Houston, Texas. Retrospective, observational cohort study between non-engaged patients (responded with 0-2 incoming text messages) and engaged patients (responded with 3+ incoming, patient-initiated text messages) between December 2022 and May 2023. We used the two-tailed t-test for continuous variables and χ From 78 883 patients who were contacted over the course of this pilot implementation, 49 222 (62.4%) responded, with 39 442 (50%) responded with 3+ incoming text messages. The engaged cohort had higher HCAHPS scores in all domains compared with the non-engaged cohort. The engaged cohort used significantly fewer 30-day acute care resources, experiencing 29% fewer overall readmissions and 20% fewer revisit rates (23% less likely to revisit) and were 27% less likely to be readmitted. The results were statistically significant for all but two hospitals. This study builds on the few postdischarge texting studies, and also builds on the patient engagement literature, finding that patient engagement with postdischarge texting can be associated with fewer acute care resources. To our knowledge, this is the only study that documented an association between a text-based postdischarge programme and HCAHPS scores, perhaps owing to the bidirectionality and ease with which patients could interact with nurses. Future research should explore the texting paradigms to evaluate their associated outcomes in a variety of postdischarge applications.

Identifiants

pubmed: 38485169
pii: bmjopen-2023-079775
doi: 10.1136/bmjopen-2023-079775
pmc: PMC10941103
doi:

Types de publication

Observational Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e079775

Informations de copyright

© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

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Auteurs

Courtenay Bruce (C)

System Patient Experience, Houston Methodist, Houston, Texas, USA crbruce@houstonmethodist.org.

Theresa Pinn-Kirkland (T)

Houston Methodist Physicians Alliance for Quality, Houston Methodist, Houston, Texas, USA.

Adam Meyers (A)

Houston Methodist Physician Organization, Houston Methodist, Houston, Texas, USA.

Emmanuel Javaluyas (E)

Department of Nursing, Houston Methodist Hospital, Houston, Texas, USA.

John Osborn (J)

System Quality & Patient Safety, Houston Methodist, Houston, Texas, USA.

Sayali Kelkar (S)

System Quality & Patient Safety, Houston Methodist, Houston, Texas, USA.

Lindsey Bruchhaus (L)

Department of Guest Relations and Patient Experience, Houston Methodist The Woodlands, The Woodlands, Texas, USA.

Kristen McLaury (K)

Department of Guest Relations and Patient Experience, Houston Methodist The Woodlands, The Woodlands, Texas, USA.

Katherine Sauceda (K)

Department of Guest Relations and Patient Experience, Houston Methodist Sugar Land Hospital, Sugar Land, Texas, USA.

Karen Carr (K)

Department of Guest Relations and Patient Experience, Houston Methodist Sugar Land Hospital, Sugar Land, Texas, USA.

Claudia Garcia (C)

Department of Guest Relations and Patient Experience, Houston Methodist Baytown, Houston, Texas, USA.

Lee Ann Arabie (LA)

Houston Methodist Clear Lake, Houston, Texas, USA.

Terrell Williams (T)

System Patient Experience, Houston Methodist, Houston, Texas, USA.

Gail Vozzella (G)

Department of Nursing, Houston Methodist, Houston, Texas, USA.

Tariq Nisar (T)

Center for Health Data Science & Analytics, Houston Methodist, Houston, Texas, USA.

Roberta L Schwartz (RL)

Houston Methodist Academic Institute, Houston Methodist, Houston, Texas, USA.

Farzan Sasangohar (F)

Industrial and Systems Engineering, Texas A&M University System, College Station, Texas, USA.

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Classifications MeSH