Evidence map›Paper›PMID 24300427›Full record

ArticleProfessional case management

Impact of discharge planning decision support on time to readmission among older adult medical patients.

Kathryn H Bowles, Alexandra Hanlon, Diane Holland, Sheryl L Potashnik, Maxim Topaz

Abstract read
In one paragraph

Article in Professional case management. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.2field-weighted citation impact, top 5% of its field
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

24 citing papers in PubMed, 70 citations in OpenAlex.

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  9. Using a Decision Support Algorithm for Referrals to Post-Acute Care.Journal of the American Medical Directors Association · 2019
    Article
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  17. Post-Acute Care Use and Hospital Readmission after Sepsis.Annals of the American Thoracic Society · 2015
    Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Kathryn H BowlesKathryn H. Bowles, PhD, RN, FAAN, FACMI, is a Professor and Director of the Center for Integrative Science in Aging at the University of Pennsylvania School of Nursing. Dr. Bowles has more than 20 years of experience and sustained NIH funding in transitional care and informatics research. Her program of research focuses on using information technology to improve care for older adults. Alexandra Hanlon, PhD, is a Research Associate Professor of Biostatistics at the University of Pennsylvania School of Nursing. Her methodological research focus is in longitudinal data analysis, while her collaborative endeavors can be found in the design and analysis of research studies involving oncology, women's and infant health, risk perceptions of various diseases, adolescent obesity and mental disorders, telemedicine, and bilingual language development. Diane Holland, PhD, RN, is an Assistant Professor and Clinical Nurse Researcher at the Mayo Clinic in Rochester, MN. Dr. Holland has more than 15 years of hospital discharge planning experience and more than 10 years of experience in discharge planning and transitional care research. Her program of research focuses on improving the experience of care for patients transitioning from the hospital to home. Sheryl L. Potashnik, PhD, is a Project Manager at the University of Pennsylvania School of Nursing. Dr. Potashnik has 28 years of experience in project management of NIH-funded R01 and P01 grants in the areas of gerontology, cancer epidemiology, nursing, and genetic-related research. Maxim Topaz, MA, is a doctoral student at the University of Pennsylvania School of Nursing. Mr. Topaz is a Fulbright Scholar from Israel. His research focuses on informatics, specifically on using clinical decision support tools to support transitions from hospitals to post-acute care settings.
Alexandra Hanlon
Diane Holland
Sheryl L Potashnik
Maxim Topaz
Westinghouse Electric (United States) · US

Funding

Factors to Support Effective Discharge Decision MakingR01NR007674 · NINR · UNIVERSITY OF PENNSYLVANIA · PI BOWLES, KATHRYN HELENE · 2001 to 2015
$3.6M
NINR NIH HHS R01 NR007674NINR NIH HHS R01-NR07674
6 · The paper itself

Abstract

purpose of the studyHospital clinicians are overwhelmed with the volume of patients churning through the health care systems. The study purpose was to determine whether alerting case managers about high-risk patients by supplying decision support results in better discharge plans as evidenced by time to first hospital readmission. PRIMARY PRACTICE

settingFour medical units at one urban, university medical center. METHODOLOGY AND SAMPLE: A quasi-experimental study including a usual care and experimental phase with hospitalized English-speaking patients aged 55 years and older. The intervention included using an evidence-based screening tool, the Discharge Decision Support System (D2S2), that supports clinicians' discharge referral decision making by identifying high-risk patients upon admission who need a referral for post-acute care. The usual care phase included collection of the D2S2 information, but not sharing the information with case managers. The experimental phase included data collection and then sharing the results with the case managers. The study compared time to readmission between index discharge date and 30 and 60 days in patients in both groups (usual care vs. experimental).

resultsAfter sharing the D2S2 results, the percentage of referral or high-risk patients readmitted by 30 and 60 days decreased by 6% and 9%, respectively, representing a 26% relative reduction in readmissions for both periods. IMPLICATIONS FOR CASE MANAGEMENT PRACTICE: Supplying decision support to identify high-risk patients recommended for postacute referral is associated with better discharge plans as evidenced by an increase in time to first hospital readmission. The tool supplies standardized information upon admission allowing more time to work with high-risk admissions.

Indexed as

Decision Support TechniquesPatient DischargePatient ReadmissionAgedFemaleHumansMaleMiddle Aged

Identifiers

PMID24300427
PMCPMC4072205
OpenAlexW2012322479

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.