Evidence map›Paper›PMID 27016064›Full record

ArticleJournal of general internal medicine2016

Change In Length of Stay and Readmissions among Hospitalized Medical Patients after Inpatient Medicine Service Adoption of Mobile Secure Text Messaging.

Mitesh S Patel, Neha Patel, Dylan S Small, Roy Rosin, Jeffrey I Rohrbach, Nathaniel Stromberg, C William Hanson, David A Asch

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
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  9. Article
  10. Interaction patterns of trauma providers are associated with length of stay.Journal of the American Medical Informatics Association : JAMIA · 2018
    Article
  11. A Mobile Health Application to Track Patients After Gastrointestinal Surgery: Results from a Pilot Study.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2017
    Article
  12. Observational
  13. Article
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Mitesh S PatelPenn Medicine Center for Health Care Innovation, Philadelphia, PA, USA. mpatel@upenn.edu.
Neha PatelPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Dylan S SmallThe Wharton School, University of Pennsylvania, Philadelphia, PA, USA.
Roy RosinPenn Medicine Center for Health Care Innovation, Philadelphia, PA, USA.
Jeffrey I RohrbachUniversity of Pennsylvania Health System, Philadelphia, PA, USA.
Nathaniel StrombergUniversity of Pennsylvania Health System, Philadelphia, PA, USA.
C William HansonPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
David A AschPenn Medicine Center for Health Care Innovation, Philadelphia, PA, USA.

Funding

The Penn Roybal Center on Behavioral Economics and Health: Solving for Scale and Impact with Design Thinking, Digital Platforms, and Dynamic AdaptationP30AG034546 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Alison Meredith Buttenheim · 2009 to 2026
$10.6M
NIA NIH HHS P30 AG034546
6 · The paper itself

Abstract

backgroundChanges in the medium of communication from paging to mobile secure text messaging may change clinical care, but the effects of these changes on patient outcomes have not been well examined.

objectiveTo evaluate the association between inpatient medicine service adoption of mobile secure text messaging and patient length of stay and readmissions.

designObservational study.

participantsPatients admitted to medicine services at the Hospital of the University of Pennsylvania (intervention site; n = 8995 admissions of 6484 patients) and Penn Presbyterian Medical Center (control site; n = 6799 admissions of 4977 patients) between May 1, 2012, and April 30, 2014.

interventionMobile secure text messaging. MAIN MEASURES: Change in length of stay and 30-day readmissions, comparing patients at the intervention site to the control site before (May 1, 2012 to April 30, 2013) and after (May 1, 2013 to April 30, 2014) the intervention, adjusting for time trends and patient demographics, comorbidities, insurance, and disposition. KEY

resultsDuring the pre-intervention period, the mean length of stay ranged from 4.0 to 5.0 days at the control site and from 5.2 to 6.7 days at the intervention site, but trends were similar. In the first month after the intervention, the mean length of stay was unchanged at the control site (4.7 to 4.7 days) but declined at the intervention site (6.0 to 5.4 days). Trends were mostly similar during the rest of the post-intervention period, ranging from 4.4 to 5.6 days at the control site and from 5.4 to 6.5 days at the intervention site. Readmission rates varied significantly within sites before and after the intervention, but overall trends were similar. In adjusted analyses, there was a significant decrease in length of stay for the intervention site relative to the control site during the post-intervention period compared to the pre-intervention period (-0.77 days ; 95 % CI, -1.14, -0.40; P < 0.001). There was no significant difference in the odds of readmission (OR, 0.97; 95 % CI: 0.81, 1.17; P = 0.77). These findings were supported by multiple sensitivity analyses.

conclusionsCompared to a control group over time, hospitalized medical patients on inpatient services whose care providers and staff were offered mobile secure text messaging showed a relative decrease in length of stay and no change in readmissions.

Indexed as

AdultAgedCell PhoneClinical Decision-MakingFemaleHealth PersonnelHospitalizationHumansLength of StayMaleMiddle AgedPatient ReadmissionText Messagingcommunicationinpatientlength of staymedical patientsmobile secure text messagingpatient outcomesreadmissionsresidentssmartphoneteaching hospital

Identifiers

PMID27016064
PMCPMC4945559

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.