Literature DB >> 10229721

Use of nursing home after stroke and dependence on stroke severity: a population-based analysis.

R D Brown1, J Ransom, S Hass, G W Petty, W M O'Fallon, J P Whisnant, C L Leibson.   

Abstract

BACKGROUND AND
PURPOSE: There are few population-based data available regarding nursing home use after stroke. This study clarifies the use of a nursing home after stroke, as well as its dependence on stroke severity, in a defined population.
METHODS: All first stroke events among residents of Rochester, Minn, during 1987-1989 were ascertained, subtyped, and assigned Rankin disability scores (RS) before the event, at maximal deficit, and at specified intervals after stroke. Persons were followed from the date of stroke event to death, emigration from Rochester, or December 31, 1994, in complete community-based medical records and Minnesota Case Mix Review Program data tapes to determine nursing home residency before stroke and at 90 days and 1 year after stroke, proportion of survival days in a nursing home, and cumulative risk of admission to a nursing home.
RESULTS: There were 251 cases of first cerebral infarction, 24 intracerebral hemorrhages, and 15 subarachnoid hemorrhages among residents of Rochester during 1987-1989. The maximal deficit RS was 1 or 2 for 62 (25%), RS 3 for 72 (29%), and RS 4 or 5 for 117 (47%) of the cerebral infarct patients. Among patients surviving to 90 days or 1 year after cerebral infarction, 25% were in nursing home at 90 days and 22% at 1 year, respectively. Within these maximal deficit RS categories, the percentages of follow-up time spent in a nursing home during the first post-cerebral infarction year are as follows: RS 1 to 2, 4%; RS 3, 10%; and RS 4 to 5, 54%. Multivariate logistic regression revealed that increasing age and RS 4 to 5 at maximal deficit were independent predictors (P<0.0001) of nursing home residency at 90 days and 1 year after stroke, whereas stroke type was not an independent predictor. At 1 year after cerebral infarction, the Kaplan-Meier estimates of proportion of people with at least 1 nursing home admission were 11% for RS 1 to 2, 22% for RS 3, and 68% for RS 4 to 5.
CONCLUSIONS: This study provides unique population-based data regarding the short- and long-term use of a nursing home after stroke and its dependence on stroke severity. More than 50% of people with a severe cerebral infarction are in a nursing home 90 days and 1 year after the stroke, and by 1 year, nearly 70% will have required some nursing home stay. Age and stroke severity are independent predictors of nursing home residency after stroke.

Entities:  

Mesh:

Year:  1999        PMID: 10229721     DOI: 10.1161/01.str.30.5.924

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  12 in total

Review 1.  Electrostimulation for promoting recovery of movement or functional ability after stroke.

Authors:  V M Pomeroy; L King; A Pollock; A Baily-Hallam; P Langhorne
Journal:  Cochrane Database Syst Rev       Date:  2006-04-19

2.  Rethinking guidelines for VTE risk among nursing home residents: a population-based study merging medical record detail with standardized nursing home assessments.

Authors:  Cynthia L Leibson; Tanya M Petterson; Carin Y Smith; Kent R Bailey; Jane A Emerson; Aneel A Ashrani; Paul Y Takahashi; John A Heit
Journal:  Chest       Date:  2014-08       Impact factor: 9.410

3.  [Stroke in nursing care--regarding the need for a neurogeriatric management process].

Authors:  Johann Donis
Journal:  Wien Med Wochenschr       Date:  2003

Review 4.  Contralateral acupuncture versus ipsilateral acupuncture in the rehabilitation of post-stroke hemiplegic patients: a systematic review.

Authors:  Mi-kyung Kim; Tae-Young Choi; Myeong Soo Lee; Hyangsook Lee; Chang-ho Han
Journal:  BMC Complement Altern Med       Date:  2010-07-30       Impact factor: 3.659

5.  Death, debility, and destitution following hip fracture.

Authors:  Gabriel S Tajeu; Elizabeth Delzell; Wilson Smith; Tarun Arora; Jeffrey R Curtis; Kenneth G Saag; Michael A Morrisey; Huifeng Yun; Meredith L Kilgore
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2013-07-19       Impact factor: 6.053

6.  Post-Acute Care Data for Predicting Readmission After Ischemic Stroke: A Nationwide Cohort Analysis Using the Minimum Data Set.

Authors:  Corey R Fehnel; Yoojin Lee; Linda C Wendell; Bradford B Thompson; N Stevenson Potter; Vincent Mor
Journal:  J Am Heart Assoc       Date:  2015-09-22       Impact factor: 5.501

7.  Prevalence of self-reported stroke and disability in the French adult population: a transversal study.

Authors:  Alexis Schnitzler; France Woimant; Philippe Tuppin; Christine de Peretti
Journal:  PLoS One       Date:  2014-12-18       Impact factor: 3.240

8.  Stroke and nursing home care: a national survey of nursing homes.

Authors:  Seamus Cowman; Maeve Royston; Anne Hickey; Frances Horgan; Hannah McGee; Desmond O'Neill
Journal:  BMC Geriatr       Date:  2010-01-27       Impact factor: 3.921

9.  Most Important Factors for Deciding Rehabilitation Provision for Severe Stroke Survivors Post Hospital Discharge: A Study Protocol for a Best-Worst Scaling Experiment.

Authors:  Sushmita Mohapatra; Kei-Long Cheung; Mickaël Hiligsmann; Nana Anokye
Journal:  Methods Protoc       Date:  2021-05-06

10.  Costs of stroke and stroke services: Determinants of patient costs and a comparison of costs of regular care and care organised in stroke services.

Authors:  Job Van Exel; Marc A Koopmanschap; Jeroen DH Van Wijngaarden; Wilma JM Scholte Op Reimer
Journal:  Cost Eff Resour Alloc       Date:  2003-02-26
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.