This document summarizes a systematic review and meta-analysis of randomized trials that evaluated interventions for preventing 30-day hospital readmissions. The review identified 47 randomized trials testing various discharge interventions. A meta-analysis found that interventions that increased patient capacity, involved two or more individuals, and included five or more activities were most effective at reducing readmissions. Specifically, interventions that provided a consistent and complex strategy coordinating care across care settings and involving home visits significantly reduced readmissions compared to less comprehensive interventions.
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1. 息2014 MFMER | slide-1
Preventing 30-day hospital
readmissions
A systematic review and meta-analysis of
randomized trials
Aaron Leppin, MD
Knowledge and Evaluation Research Unit, Mayo Clinic
Academy Health Annual Research Meeting
San Diego, CA; June 8, 2014
3. 息2014 MFMER | slide-3
Background
Reducing readmissions requires better
understanding of causes
Patient appraisal of need is key
Depends on perception of resources
Hospital is a source of capacity
Recently discharged patients have low capacity
for self-care1
1Krumholz, N Engl J Med. 2013.
4. 息2014 MFMER | slide-4
The Cumulative Complexity Model
Shippee, J Clin Epidemiol., 2012
5. 息2014 MFMER | slide-5
Hypothesis
When burdensome and
insufficiently supported
demands are placed on
patients and caregivers
post-discharge, it will
overwhelm capacity and
lead to readmission
May, Montori, and Mair; BMJ. 2009.
6. 息2014 MFMER | slide-6
Objectives
To synthesize RCT evidence of discharge
interventions in reducing 30-day readmissions
To explore the characteristics of these
interventions that are most associated with their
effectiveness
7. 息2014 MFMER | slide-7
Methods
Data Sources and Study Selection
Database search from 1990 to April 1, 2013
Reviewed bibliographies, expert contacts
Eligibility Criteria
Randomized trials of any discharge
intervention
Assessing risk of unplanned or all-cause
readmission within 30-days with or without
out of hospital deaths
Patients admitted >24 hours for med/surg
diagnosis and discharged to home
8. 息2014 MFMER | slide-8
Methods
Data Extraction and Synthesis
Extracted patient, intervention, and outcome
characteristics
Used activity-based coding strategy to de-
bundle interventions and confirmed with
authors
Blinded raters evaluated net intervention
descriptions to judge impact on patient
workload and capacity
9. 息2014 MFMER | slide-9
Methods
Activity-based Coding Strategy
Discharge planning
Case management
Telephone follow-up
Telemonitoring
Patient education
Self-management
Medication intervention
Home visits
Follow-up scheduled
Pt-centered discharge
instructions
Provider continuity
Timely follow-up
PCP communication
Patient hotline
Rehab intervention
Streamlining
Making requisite
Other
12. 息2014 MFMER | slide-12
Methods
Data Analysis
Random effects meta-analysis of relative risks
of readmission in 30-days
Planned, exploratory subgroup analyses of
patient, intervention, and outcome
characteristics
Post-hoc regression model assessing value of
comprehensive support in reducing 30-day
readmissions
13. 息2014 MFMER | slide-13
Results
Trial identification and Meta-analysis
47 randomized trials; 18 providing previously
unpublished data
42 reported patient-level rates
Pooled RR: 0.82 (95% CI 0.73 to 0.91)
P<.001
I2=31%
5 reported event numbers only
Pooled RR: 0.93 (95% CI 0.72 to 1.20)
P=.59
I2=23%
14. 息2014 MFMER | slide-14
Results
Subgroup analyses
Intervention characteristics with significant
interactions for reducing 30 day readmission
rates
Rated to increase patient capacity (P=.04)
Delivered by two or more individuals (P=.05)
Comprised five or more activities (P=.001)
Study published prior to 2002 (P=.01)
15. 息2014 MFMER | slide-15
Results
Meta-regression: Comprehensive support
Variable scores from 0 to 4; 1 point each for:
Rated to increase patient capacity
Five or more meaningful patient interactions
Two or more humans involved in delivery
Five or more intervention activities
Summed scores3 categories
Category 1: 0 points
Category 2: 1-2 points
Category 3: 3-4 points
16. 息2014 MFMER | slide-16
Results
Regression effects of comprehensive support
Study
Characteristic
Number of
Studies
RR of
Readmission
Compared to
Reference
95%
Confidence
Interval
p value
Category 1 15 1 (reference)
Category 2 20 0.82 0.66 to 1.02 0.07
Category 3 7 0.63 0.43 to 0.91 0.02
Publication in
2002 or after
33 1.47 1.10 to 1.96 0.01
17. 息2014 MFMER | slide-17
Results
Category 3 Interventions:
consistent and complex strategy that
emphasized the assessment and addressing of
factors related to patient context and capacity for
self-care (including the impact of comorbidities,
functional status, caregiver capabilities,
socioeconomic factors, potential for self-
management, and patient and caregiver goals for
care). These interventions coordinated care
across the inpatient-to-outpatient transition and
involved multiple patient interactions; all but 1
involved patient home visits.
Leppin, JAMA Internal Medicine, 2014
18. 息2014 MFMER | slide-18
Strengths/Limitations
Largest and most homogenous collection of
randomized trial evidence
Hypothesis-generating work
Evidence of publication bias
Workload and capacity ratings were global
assessments; no validated or criterion-based
scale
19. 息2014 MFMER | slide-19
Conclusions and Implications
A comprehensive and complex strategy that
fully supports patients post-discharge has
shown consistent value (many report cost
savings)
Recent meta-analysis in heart failure is
complementary; stresses value of home visits1
Many interventions currently being tested do not
follow this strategy and are less effective
1Feltner, Annals of Internal Medicine, 2014
20. 息2014 MFMER | slide-20
Acknowledgements
Michael R. Gionfriddo,
PharmD
Maya Kessler, MD
Juan Pablo Brito, MBBS
Frances S. Mair, MD
Katie Gallacher, MBChB
Zhen Wang, Phd
Patricia J. Erwin, MLS
Tanya Sylvester, BS
Kasey Boehmer, BS
Henry H. Ting, MD, MBA
M. Hassan Murad, MD
Nathan D. Shippee, PhD
Victor M. Montori, MD
21. 息2014 MFMER | slide-21
Thank you for your attention!
Leppin.Aaron@mayo.edu
www.minimallydisruptivemedicine.org
Leppin AL, Gionfriddo MR, Kessler M, et al. Preventing 30-Day
Hospital Readmissions: A Systematic Review and Meta-analysis of
Randomized Trials. JAMA Intern Med. Published online May 12,
2014. doi:10.1001/jamainternmed.2014.1608.
Editor's Notes
#4: Other relevant models are Lazarus transactional model of stress