Literature DB >> 29939913

Which Readmissions May Be Preventable? Lessons Learned From a Posthospitalization Care Transitions Program for High-risk Elders.

Rozalina G McCoy1,2,3, Stephanie M Peterson4, Lynn S Borkenhagen1, Paul Y Takahashi1, Bjorg Thorsteinsdottir1, Anupam Chandra1, James M Naessens2,3.   

Abstract

BACKGROUND: Care transitions programs have been shown to reduce hospital readmissions.
OBJECTIVES: The main objective of this study was to evaluate effects of the Mayo Clinic Care Transitions (MCCTs) Program on potentially preventable and nonpreventable 30-day unplanned readmissions among high-risk elders. RESEARCH
DESIGN: This was a retrospective cohort study of patients enrolled in MCCT following hospitalization and propensity score-matched controls receiving usual primary care.
SUBJECTS: The subjects were primary care patients, who were 60 years or older, at high-risk for readmission, and hospitalized for any cause between January 1, 2011 and June 30, 2013. MEASURES: Hospital readmission within 30 days. The 3M algorithm was used to identify potentially preventable readmissions. Readmissions for ambulatory care sensitive conditions, a subset of preventable readmissions identified by the 3M algorithm, were also assessed.
RESULTS: The study cohort included 365 pairs of MCCT enrollees and propensity score-matched controls. Patients were similar in age (mean 83 y) and other baseline demographic and clinical characteristics, including reason for index hospitalization. MCCT enrollees had a significantly lower all-cause readmission rate [12.4% (95% confidence interval: CI, 8.9-15.7) vs. 20.1% (15.8-24.1); P=0.004] resulting from a decrease in potentially preventable readmissions [8.4% (95% CI, 5.5-11.3) vs. 14.3% (95% CI, 10.5-17.9); P=0.01]. Few potentially preventable readmissions were for ambulatory care sensitive conditions (6.7% vs. 12.0%). The rates of nonpotentially preventable readmissions were similar [4.3% (95% CI, 2.2-6.5) vs. 6.7% (95% CI, 4.0-9.4); P=0.16]. Potentially preventable readmissions were reduced by 44% (hazard ratio, 0.56; 95% CI, 0.36-0.88; P=0.01) with no change in other readmissions.
CONCLUSIONS: The MCCT significantly reduces preventable readmissions, suggesting that access to multidisciplinary care can reduce readmissions and improve outcomes for high-risk elders.

Entities:  

Mesh:

Year:  2018        PMID: 29939913      PMCID: PMC6050026          DOI: 10.1097/MLR.0000000000000946

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  29 in total

Review 1.  Interventions to reduce 30-day rehospitalization: a systematic review.

Authors:  Luke O Hansen; Robert S Young; Keiki Hinami; Alicia Leung; Mark V Williams
Journal:  Ann Intern Med       Date:  2011-10-18       Impact factor: 25.391

Review 2.  Impact of Transitional Care Services for Chronically Ill Older Patients: A Systematic Evidence Review.

Authors:  Mélanie Le Berre; Geva Maimon; Nadia Sourial; Muriel Guériton; Isabelle Vedel
Journal:  J Am Geriatr Soc       Date:  2017-04-12       Impact factor: 5.562

3.  Rehospitalizations among patients in the Medicare fee-for-service program.

Authors:  Stephen F Jencks; Mark V Williams; Eric A Coleman
Journal:  N Engl J Med       Date:  2009-04-02       Impact factor: 91.245

4.  Comparing 2 methods of assessing 30-day readmissions: what is the impact on hospital profiling in the veterans health administration?

Authors:  Hillary J Mull; Qi Chen; William J O'Brien; Michael Shwartz; Ann M Borzecki; Amresh Hanchate; Amy K Rosen
Journal:  Med Care       Date:  2013-07       Impact factor: 2.983

5.  The relationship between Elder Risk Assessment Index score and 30-day readmission from the nursing home.

Authors:  Paul Y Takahashi; Anupam Chandra; Stephen Cha; Aleta Borrud
Journal:  Hosp Pract (1995)       Date:  2011-02

6.  Do Acute Myocardial Infarction and Heart Failure Readmissions Flagged as Potentially Preventable by the 3M Potentially Preventable Readmissions Software Have More Process-of-Care Problems?

Authors:  Ann M Borzecki; Qi Chen; Hillary J Mull; Michael Shwartz; Deepak L Bhatt; Amresh Hanchate; Amy K Rosen
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2016-09-06

7.  Predictors for Unplanned Hospitalization of New Home Care Clients.

Authors:  Jukka K Rönneikkö; Matti Mäkelä; Esa R Jämsen; Heini Huhtala; Harriet Finne-Soveri; Anja Noro; Jaakko N Valvanne
Journal:  J Am Geriatr Soc       Date:  2016-12-21       Impact factor: 5.562

8.  Hospital readmissions as a measure of quality of health care: advantages and limitations.

Authors:  J Benbassat; M Taragin
Journal:  Arch Intern Med       Date:  2000-04-24

9.  "Missing pieces"--functional, social, and environmental barriers to recovery for vulnerable older adults transitioning from hospital to home.

Authors:  S Ryan Greysen; Doug Hoi-Cheung; Veronica Garcia; Eric Kessell; Urmimala Sarkar; Lauren Goldman; Michelle Schneidermann; Jeffrey Critchfield; Edgar Pierluissi; Margot Kushel
Journal:  J Am Geriatr Soc       Date:  2014-06-16       Impact factor: 5.562

10.  Identifying potentially preventable readmissions.

Authors:  Norbert I Goldfield; Elizabeth C McCullough; John S Hughes; Ana M Tang; Beth Eastman; Lisa K Rawlins; Richard F Averill
Journal:  Health Care Financ Rev       Date:  2008
View more
  2 in total

1.  Measurement of unnecessary psychiatric readmissions: a scoping review protocol.

Authors:  Bo Kim; Christopher Weatherly; Courtney Benjamin Wolk; Enola K Proctor
Journal:  BMJ Open       Date:  2019-07-23       Impact factor: 2.692

2.  Optimising transitions of care for acute kidney injury survivors: protocol for a mixed-methods study of nephrologist and primary care provider recommendations.

Authors:  Heather Personett May; Abby K Krauter; Dawn M Finnie; Rozalina Grubina McCoy; Kianoush B Kashani; Joan M Griffin; Erin F Barreto
Journal:  BMJ Open       Date:  2022-06-22       Impact factor: 3.006

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.