Literature DB >> 27282857

Physician Perspectives on Factors Contributing to Readmissions and Potential Prevention Strategies: A Multicenter Survey.

Shoshana J Herzig1,2, Jeffrey L Schnipper3,4, Lauren Doctoroff5,3, Christopher S Kim6, Scott A Flanders6, Edmondo J Robinson7, Gregory W Ruhnke8, Larissa Thomas9,10, Sunil Kripalani11,12, Peter K Lindenauer13, Mark V Williams14, Joshua P Metlay15, Andrew D Auerbach16.   

Abstract

BACKGROUND: The transition out of the hospital is a vulnerable time for patients, relying heavily on communication and coordination of resources across care settings. Understanding the perspectives of inpatient and outpatient physicians regarding factors contributing to readmission and potential preventive strategies is crucial in designing appropriately targeted readmission prevention efforts.
OBJECTIVE: To examine and compare inpatient and outpatient physician opinions regarding reasons for readmission and interventions that might have prevented readmission.
DESIGN: Cross-sectional multicenter study. PARTICIPANTS: We identified patients readmitted to general medicine services within 30 days of discharge at 12 US academic medical centers, and surveyed the primary care physician (PCP), discharging physician from the index admission, and admitting physician from the readmission regarding their endorsement of pre-specified factors contributing to the readmission and potential preventive strategies. MAIN MEASURES: We calculated kappa statistics to gauge agreement between physician dyads (PCP-discharging physician, PCP-admitting physician, and admitting-discharging physician). KEY
RESULTS: We evaluated 993 readmission events, which generated responses from 356 PCPs (36 % of readmissions), 675 discharging physicians (68 % of readmissions), and 737 admitting physicians (74 % of readmissions). The most commonly endorsed contributing factors by both PCPs and inpatient physicians related to patient understanding and ability to self-manage. The most commonly endorsed preventive strategies involved providing patients with enhanced post-discharge instructions and/or support. Although PCPs and inpatient physicians endorsed contributing factors and potential preventive strategies with similar frequencies, agreement among the three physicians on the specific factors and/or strategies that applied to individual readmission events was poor (maximum kappa 0.30).
CONCLUSIONS: Differing opinions among physicians on factors contributing to individual readmissions highlights the importance of communication between inpatient and outpatient providers at discharge to share their different perspectives, and suggests that multi-faceted, broadly applied interventions may be more successful than those that rely on individual providers choosing specific services based on perceived risk factors.

Entities:  

Keywords:  causes; physician opinion; prevention; readmissions; survey

Mesh:

Year:  2016        PMID: 27282857      PMCID: PMC5071281          DOI: 10.1007/s11606-016-3764-5

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


  20 in total

1.  Bias and prevalence effects on kappa viewed in terms of sensitivity and specificity.

Authors:  F K Hoehler
Journal:  J Clin Epidemiol       Date:  2000-05       Impact factor: 6.437

Review 2.  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 3.  The kappa statistic in reliability studies: use, interpretation, and sample size requirements.

Authors:  Julius Sim; Chris C Wright
Journal:  Phys Ther       Date:  2005-03

4.  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

5.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

6.  High agreement but low kappa: II. Resolving the paradoxes.

Authors:  D V Cicchetti; A R Feinstein
Journal:  J Clin Epidemiol       Date:  1990       Impact factor: 6.437

7.  The Hospital Medicine Reengineering Network (HOMERuN): a learning organization focused on improving hospital care.

Authors:  Andrew D Auerbach; Mitesh S Patel; Joshua P Metlay; Jeffrey L Schnipper; Mark V Williams; Edmondo J Robinson; Sunil Kripalani; Peter K Lindenauer
Journal:  Acad Med       Date:  2014-03       Impact factor: 6.893

8.  Inability of providers to predict unplanned readmissions.

Authors:  Nazima Allaudeen; Jeffrey L Schnipper; E John Orav; Robert M Wachter; Arpana R Vidyarthi
Journal:  J Gen Intern Med       Date:  2011-03-12       Impact factor: 5.128

9.  Patient activation and 30-day post-discharge hospital utilization.

Authors:  Suzanne E Mitchell; Paula M Gardiner; Ekaterina Sadikova; Jessica M Martin; Brian W Jack; Judith H Hibbard; Michael K Paasche-Orlow
Journal:  J Gen Intern Med       Date:  2013-10-04       Impact factor: 5.128

Review 10.  Hospital-initiated transitional care interventions as a patient safety strategy: a systematic review.

Authors:  Stephanie Rennke; Oanh K Nguyen; Marwa H Shoeb; Yimdriuska Magan; Robert M Wachter; Sumant R Ranji
Journal:  Ann Intern Med       Date:  2013-03-05       Impact factor: 25.391

View more
  15 in total

1.  Physician Perspectives on Readmissions.

Authors:  Ami Schattner
Journal:  J Gen Intern Med       Date:  2017-07       Impact factor: 5.128

2.  Physician Perspectives on Readmission.

Authors:  Shoshana J Herzig; Andrew D Auerbach
Journal:  J Gen Intern Med       Date:  2017-07       Impact factor: 5.128

3.  For Hospital Readmissions, Hindsight is Not 20/20.

Authors:  Rosa R Baier; Amal N Trivedi
Journal:  J Gen Intern Med       Date:  2016-11       Impact factor: 5.128

4.  Cultural Influences on Primary Care Delivery.

Authors:  Malathi Srinivasan
Journal:  J Gen Intern Med       Date:  2016-11       Impact factor: 5.128

5.  Potentially Avoidable Readmissions of Patients Discharged to Post-Acute Care: Perspectives of Hospital and Skilled Nursing Facility Staff.

Authors:  Eduard E Vasilevskis; Joseph G Ouslander; Amanda S Mixon; Susan P Bell; J Mary Lou Jacobsen; Avantika A Saraf; Daniel Markley; Kelly C Sponsler; Jill Shutes; Emily A Long; Sunil Kripalani; Sandra F Simmons; John F Schnelle
Journal:  J Am Geriatr Soc       Date:  2016-12-16       Impact factor: 5.562

6.  The Chief Primary Care Medical Officer: Restoring Continuity.

Authors:  Noemi Doohan; Jennifer DeVoe
Journal:  Ann Fam Med       Date:  2017-07       Impact factor: 5.166

7.  Practical Use of Process Mapping to Guide Implementation of a Care Coordination Program for Rural Veterans.

Authors:  Marina S McCreight; Heather M Gilmartin; Chelsea A Leonard; Ashlea L Mayberry; Lynette R Kelley; Brandi K Lippmann; Andrew S Coy; Tiffany A Radcliff; Murray J Côté; Robert E Burke
Journal:  J Gen Intern Med       Date:  2019-05       Impact factor: 5.128

8.  An Initial Assessment of the Utility of Validated Alcohol and Drug Screening Tools in Predicting 30-Day Readmission to Adult General Medicine Wards.

Authors:  Steven P Gerke; Jon D Agley; Cynthia Wilson; Ruth A Gassman; Philip Forys; David W Crabb
Journal:  Am J Med Qual       Date:  2018-01-18       Impact factor: 1.852

9.  Preventability of Early Versus Late Hospital Readmissions in a National Cohort of General Medicine Patients.

Authors:  Kelly L Graham; Andrew D Auerbach; Jeffrey L Schnipper; Scott A Flanders; Christopher S Kim; Edmondo J Robinson; Gregory W Ruhnke; Larissa R Thomas; Sunil Kripalani; Eduard E Vasilevskis; Grant S Fletcher; Neil J Sehgal; Peter K Lindenauer; Mark V Williams; Joshua P Metlay; Roger B Davis; Julius Yang; Edward R Marcantonio; Shoshana J Herzig
Journal:  Ann Intern Med       Date:  2018-05-01       Impact factor: 25.391

10.  Clinicians can independently predict 30-day hospital readmissions as well as the LACE index.

Authors:  William Dwight Miller; Kimngan Nguyen; Sitaram Vangala; Erin Dowling
Journal:  BMC Health Serv Res       Date:  2018-01-22       Impact factor: 2.655

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.