Literature DB >> 27373747

Social Support and Actual Versus Expected Length of Stay in Inpatient Rehabilitation Facilities.

Zakkoyya H Lewis1, Catherine Cooper Hay1, James E Graham2, Yu-Li Lin3, Amol M Karmarkar1, Kenneth J Ottenbacher1.   

Abstract

OBJECTIVES: To describe impairment-specific patterns in shorter- and longer-than-expected lengths of stay in inpatient rehabilitation, and examine the independent effects of social support on deviations from expected lengths of stay.
DESIGN: Retrospective cohort study.
SETTING: Inpatient rehabilitation facilities. PARTICIPANTS: Medicare fee-for-service beneficiaries (N=119,437) who were discharged from inpatient rehabilitation facilities in 2012 after stroke, lower extremity fracture, or lower extremity joint replacement. INTERVENTION: Not applicable. MAIN OUTCOME MEASURE: Relative length of stay (actual minus expected). The Centers for Medicare & Medicaid Services posts annual expected lengths of stay based on patients' clinical profiles at admission. We created a 3-category outcome variable: short, expected, long. Our primary independent variable (social support) also included 3 categories: family/friends, paid/other, none.
RESULTS: Mean ± SD actual lengths of stay for joint replacement, fracture, and stroke were 9.8±3.6, 13.8±4.5, and 15.8±7.3 days, respectively; relative lengths of stay were -1.2±3.1, -1.6±3.7, and -1.7±5.2 days. Nearly half of patients (47%-48%) were discharged more than 1 day earlier than expected in all 3 groups, whereas 14% of joint replacement, 15% of fracture, and 20% of stroke patients were discharged more than 1 day later than expected. In multinomial regression analysis, using family/friends as the reference group, paid/other support was associated (P<.05) with higher odds of long stays in joint replacement. No social support was associated with lower odds of short stays in all 3 impairment groups and higher odds of long stays in fracture and joint replacement.
CONCLUSIONS: Inpatient rehabilitation experiences and outcomes can be substantially affected by a patient's level of social support. More research is needed to better understand these relationships and possible unintended consequences in terms of patient access issues and provider-level quality measures. Copyright Â
© 2016 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Length of stay; Rehabilitation; Social support

Mesh:

Year:  2016        PMID: 27373747      PMCID: PMC5124404          DOI: 10.1016/j.apmr.2016.06.005

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  15 in total

1.  Early unplanned transfers from inpatient rehabilitation.

Authors:  Maureen L Carney; Philip Ullrich; Peter Esselman
Journal:  Am J Phys Med Rehabil       Date:  2006-05       Impact factor: 2.159

2.  Does how much and how you pay matter? Evidence from the inpatient rehabilitation care prospective payment system.

Authors:  Neeraj Sood; Melinda Beeuwkes Buntin; José J Escarce
Journal:  J Health Econ       Date:  2008-03-10       Impact factor: 3.883

3.  Factors associated with delayed discharges after inpatient stroke rehabilitation in Singapore.

Authors:  Woan Shin Tan; Wai Fung Chong; Karen S G Chua; Bee Hoon Heng; Kay Fei Chan
Journal:  Ann Acad Med Singapore       Date:  2010-06       Impact factor: 2.473

Review 4.  Trends in inpatient rehabilitation stroke outcomes before and after advent of the prospective payment system: a systematic review.

Authors:  Suzanne Rinere O'Brien
Journal:  J Neurol Phys Ther       Date:  2010-03       Impact factor: 3.649

5.  Rehabilitation following total knee replacement, total hip replacement, and hip fracture: a case-controlled comparison.

Authors:  Janet A Herbold; Kristen Bonistall; Mary Beth Walsh
Journal:  J Geriatr Phys Ther       Date:  2011 Oct-Dec       Impact factor: 3.381

6.  The Uniform Data System for Medical Rehabilitation: report of patients with hip fracture discharged from comprehensive medical programs in 2000-2007.

Authors:  Carl V Granger; Timothy A Reistetter; James E Graham; Anne Deutsch; Samuel J Markello; Paulette Niewczyk; Kenneth J Ottenbacher
Journal:  Am J Phys Med Rehabil       Date:  2011-03       Impact factor: 2.159

7.  Factors predictive of stroke outcome in a rehabilitation setting.

Authors:  J E Ween; M P Alexander; M D'Esposito; M Roberts
Journal:  Neurology       Date:  1996-08       Impact factor: 9.910

8.  A model to aid in the prediction of discharge location for stroke rehabilitation patients.

Authors:  Vikas Agarwal; Marc P McRae; Asha Bhardwaj; Robert W Teasell
Journal:  Arch Phys Med Rehabil       Date:  2003-11       Impact factor: 3.966

9.  The structure and stability of the Functional Independence Measure.

Authors:  J M Linacre; A W Heinemann; B D Wright; C V Granger; B B Hamilton
Journal:  Arch Phys Med Rehabil       Date:  1994-02       Impact factor: 3.966

10.  Stroke rehabilitation: availability of a family member as caregiver and discharge destination.

Authors:  S Tanwir; K Montgomery; V Chari; S Nesathurai
Journal:  Eur J Phys Rehabil Med       Date:  2014-02-11       Impact factor: 2.874

View more
  4 in total

1.  Racial and Ethnic Disparities in Surgical Outcomes after Postmastectomy Breast Reconstruction.

Authors:  Melissa M Sarver; Jess D Rames; Yi Ren; Rachel A Greenup; Ronnie L Shammas; E Shelley Hwang; Scott T Hollenbeck; Terry Hyslop; Paris D Butler; Oluwadamilola M Fayanju
Journal:  J Am Coll Surg       Date:  2022-05-01       Impact factor: 6.532

2.  Mortality And Morbidity of Severe Traumatic Brain Injuries; A Pediatric Intensive Care Unit Experience Over 15 Years.

Authors:  Kam Lun Hon; Siwei Huang; Wai Sang Poon; Hon Ming Cheung; Patrick Ip; Benny Zee
Journal:  Bull Emerg Trauma       Date:  2019-07

3.  Multidiscipline Stroke Post-Acute Care Transfer System: Propensity-Score-Based Comparison of Functional Status.

Authors:  Chung-Yuan Wang; Hong-Hsi Hsien; Kuo-Wei Hung; Hsiu-Fen Lin; Hung-Yi Chiou; Shu-Chuan Jennifer Yeh; Yu-Jo Yeh; Hon-Yi Shi
Journal:  J Clin Med       Date:  2019-08-16       Impact factor: 4.241

4.  Association Between Racial Disparities in Hospital Length of Stay and the Hospital Readmission Reduction Program.

Authors:  Arnab K Ghosh; Orysya Soroka; Martin Shapiro; Mark A Unruh
Journal:  Health Serv Res Manag Epidemiol       Date:  2021-08-31
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.