Literature DB >> 31227472

Identifying Patient Readmissions: Are Our Data Sources Misleading?

Andrea E Daddato1, Blythe Dollar2, Hillary D Lum3, Robert E Burke4, Rebecca S Boxer5.   

Abstract

BACKGROUND: The accuracy of data is vital to identifying hospitalization outcomes for clinical trials. Patient attrition and recall bias affects the validity of patient-reported outcomes, and the growing prevalence of Medicare Advantage (MA) could mean Fee-for-Service (FFS) claims are less reliable for ascertaining hospital utilization. Statewide health information exchanges (HIEs) may be a more complete data source but have not been frequently used for research.
DESIGN: Secondary analysis comparing identification of readmissions using 3 different acquisition approaches.
SETTING: Randomized controlled trial of heart failure (HF) disease management in 37 skilled nursing facilities (SNFs). PARTICIPANTS: Patients with HF discharged from the hospital to SNF. MEASURES: Readmissions up to 60 days post-SNF admission collected by patient self-report, recorded by nursing home (NH) staff during the SNF stay, or recorded in the state HIE.
RESULTS: Among 657 participants (mean age 79 ± 10 years, 49% with FFS), 295 unique readmissions within 60 days of SNF admission were identified. These readmissions occurred among 221 patients. Twenty percent of all readmissions were found using only patient self-report, 28% were only recorded by NH staff during the SNF stay, and 52% were identified only using the HIE. The readmission rate (first readmission only) based only on patient self-report and direct observation was 18% rather than 34% with the addition of the enhanced HIE method. CONCLUSIONS AND IMPLICATIONS: More than one-quarter (34%) of HF patients were rehospitalized within 60 days post SNF admission. Use of a statewide HIE resulted in identifying an additional 153 admissions, 52% of all the readmissions seen in this study. Without use of an HIE, nearly half of readmissions would have been missed as a result of incomplete patient self-report or loss to follow-up. Thus, HIEs serve as an important resource for researchers to ensure accurate outcomes data.
Copyright © 2019 AMDA – The Society for Post-Acute and Long-Term Care Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Health information exchange; heart failure; patient self-report; readmissions; skilled nursing facilities

Mesh:

Year:  2019        PMID: 31227472      PMCID: PMC6663618          DOI: 10.1016/j.jamda.2019.04.028

Source DB:  PubMed          Journal:  J Am Med Dir Assoc        ISSN: 1525-8610            Impact factor:   4.669


  12 in total

Review 1.  Self-reported utilization of health care services: improving measurement and accuracy.

Authors:  Aman Bhandari; Todd Wagner
Journal:  Med Care Res Rev       Date:  2006-04       Impact factor: 3.929

2.  Factors influencing discrepancies in self-reported memory and performance on memory recall in the Canadian Community Health Survey-Healthy Aging, 2008-09.

Authors:  Nazmul Sohel; Holly Tuokko; Lauren Griffith; Parminder Raina
Journal:  Age Ageing       Date:  2015-12-12       Impact factor: 10.668

3.  Patient self-report and medical records: measuring agreement for binary data.

Authors:  Angela M Barbara; Mark Loeb; Lisa Dolovich; Kevin Brazil; Margaret L Russell
Journal:  Can Fam Physician       Date:  2011-06       Impact factor: 3.275

4.  Conducting record review studies in clinical practice.

Authors:  Siddharth Sarkar; Divya Seshadri
Journal:  J Clin Diagn Res       Date:  2014-09-20

5.  A randomized trial of heart failure disease management in skilled nursing facilities: design and rationale.

Authors:  Rebecca S Boxer; Mary A Dolansky; Christine A Bodnar; Mendel E Singer; Jeffery M Albert; Stefan Gravenstein
Journal:  J Am Med Dir Assoc       Date:  2013-07-18       Impact factor: 4.669

Review 6.  Designing randomized, controlled trials aimed at preventing or delaying functional decline and disability in frail, older persons: a consensus report.

Authors:  Luigi Ferrucci; Jack M Guralnik; Stephanie Studenski; Linda P Fried; Gordon B Cutler; Jeremy D Walston
Journal:  J Am Geriatr Soc       Date:  2004-04       Impact factor: 5.562

7.  The revolving door of rehospitalization from skilled nursing facilities.

Authors:  Vincent Mor; Orna Intrator; Zhanlian Feng; David C Grabowski
Journal:  Health Aff (Millwood)       Date:  2010 Jan-Feb       Impact factor: 6.301

8.  How accurate are self-reports? Analysis of self-reported health care utilization and absence when compared with administrative data.

Authors:  Meghan E Short; Ron Z Goetzel; Xiaofei Pei; Maryam J Tabrizi; Ronald J Ozminkowski; Teresa B Gibson; Dave M Dejoy; Mark G Wilson
Journal:  J Occup Environ Med       Date:  2009-07       Impact factor: 2.162

9.  Empirical evidence of recall bias for primary health care visits.

Authors:  Natasha Kareem Brusco; Jennifer J Watts
Journal:  BMC Health Serv Res       Date:  2015-09-15       Impact factor: 2.655

10.  Self-report of healthcare utilization among community-dwelling older persons: a prospective cohort study.

Authors:  Marlies T van Dalen; Jacqueline J Suijker; Janet MacNeil-Vroomen; Marjon van Rijn; Eric P Moll van Charante; Sophia E de Rooij; Bianca M Buurman
Journal:  PLoS One       Date:  2014-04-07       Impact factor: 3.240

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  1 in total

1.  Disease Management in Skilled Nursing Facilities Improves Outcomes for Patients With a Primary Diagnosis of Heart Failure.

Authors:  Himali Weerahandi; Erin L Chaussee; John A Dodson; Mary Dolansky; Rebecca S Boxer
Journal:  J Am Med Dir Assoc       Date:  2021-09-01       Impact factor: 4.669

  1 in total

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