Literature DB >> 15986313

Identifying factors associated with hospital readmissions among stroke patients in Taipei.

Kun-Yang Chuang1, Shwu-Chong Wu, Ai-Hsuan Sandra Ma, Yu-Hui Chen, Chen-Long Wu.   

Abstract

Hospital readmissions contribute significantly to the cost of medical care, and may reflect unresolved problems at discharge or a lack of resources in post-hospital care. The purpose of this paper is to assess the effects of patient characteristics at discharge, the need for nursing care, discharge planning program, post-hospital care arrangements, and caregiver characteristics on readmissions of stroke patients. Patients discharged from neurological wards in seven hospitals in the Taipei area were recruited into the study. Surveys were conducted before their discharge, and at one month after discharge. Of the 489 patients included in the study, 24.3% were readmitted. After controlling for other variables, factors associated with readmissions were number of limitations in activities of daily living (ADL), first incidence of stroke, the need for wound nursing care, the adoption of a care plan, and the discharge locations. Contrary to expectation, age, length of stay, counseling before discharge, and caregiver burden were not associated with readmissions. The findings of this study indicate that ADL limitation is an effective predictor of readmissions. Increasing home nursing resources to meet the demand for wound nursing care may also be effective in reducing readmissions. Discharging patients into institutions for a short period of time may also prove to be more economically viable due to the reduction in readmissions.

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Year:  2005        PMID: 15986313     DOI: 10.1097/01.jnr.0000387533.07395.42

Source DB:  PubMed          Journal:  J Nurs Res        ISSN: 1682-3141            Impact factor:   1.682


  13 in total

1.  Long-term care residents' views about the contributions of Christian-based volunteers in Taiwan: a pilot study.

Authors:  Yi-Jung Liu
Journal:  J Relig Health       Date:  2012-09

2.  NI2012 Classification of Reasons for Hospital Readmission.

Authors:  Kay R Jansen
Journal:  NI 2012 (2012)       Date:  2012-06-23

3.  Association Between Early Outpatient Visits and Readmissions After Ischemic Stroke.

Authors:  Samuel W Terman; Mathew J Reeves; Lesli E Skolarus; James F Burke
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2018-04

4.  Readmission within 1 month of discharge among patients with acute ischemic stroke: results of the University HealthSystem Consortium Stroke Benchmarking study.

Authors:  M Fareed K Suri; Adnan I Qureshi
Journal:  J Vasc Interv Neurol       Date:  2013-12

Review 5.  Predictors of hospital readmission after stroke: a systematic review.

Authors:  Judith H Lichtman; Erica C Leifheit-Limson; Sara B Jones; Emi Watanabe; Susannah M Bernheim; Michael S Phipps; Kanchana R Bhat; Shantal V Savage; Larry B Goldstein
Journal:  Stroke       Date:  2010-10-07       Impact factor: 7.914

6.  Temporal trends and risk factors for readmission for infections, gastrointestinal and immobility complications after an incident hospitalisation for stroke in Scotland between 1997 and 2005.

Authors:  James Lewsey; Osaretin Ebueku; Pardeep S Jhund; Michelle Gillies; Jim W T Chalmers; Adam Redpath; Andrew Briggs; Matthew Walters; Peter Langhorne; Simon Capewell; John J V McMurray; Kate MacIntyre
Journal:  BMC Neurol       Date:  2015-01-16       Impact factor: 2.474

7.  Healthcare utilization and cost trajectories post-stroke: role of caregiver and stroke factors.

Authors:  Shilpa Tyagi; Gerald Choon-Huat Koh; Luo Nan; Kelvin Bryan Tan; Helen Hoenig; David B Matchar; Joanne Yoong; Eric A Finkelstein; Kim En Lee; N Venketasubramanian; Edward Menon; Kin Ming Chan; Deidre Anne De Silva; Philip Yap; Boon Yeow Tan; Effie Chew; Sherry H Young; Yee Sien Ng; Tian Ming Tu; Yan Hoon Ang; Keng Hee Kong; Rajinder Singh; Reshma A Merchant; Hui Meng Chang; Tseng Tsai Yeo; Chou Ning; Angela Cheong; Yu Li Ng; Chuen Seng Tan
Journal:  BMC Health Serv Res       Date:  2018-11-22       Impact factor: 2.655

8.  The Use of Deep Learning to Predict Stroke Patient Mortality.

Authors:  Songhee Cheon; Jungyoon Kim; Jihye Lim
Journal:  Int J Environ Res Public Health       Date:  2019-05-28       Impact factor: 3.390

9.  Rehabilitation needs for older adults with stroke living at home: perceptions of four populations.

Authors:  Claude Vincent; Isabelle Deaudelin; Line Robichaud; Jacqueline Rousseau; Chantal Viscogliosi; Lise R Talbot; Johanne Desrosiers
Journal:  BMC Geriatr       Date:  2007-08-13       Impact factor: 3.921

10.  Tai Chi-based exercise program provided via telerehabilitation compared to home visits in a post-stroke population who have returned home without intensive rehabilitation: study protocol for a randomized, non-inferiority clinical trial.

Authors:  Michel Tousignant; Hélène Corriveau; Dahlia Kairy; Katherine Berg; Marie-France Dubois; Sylvie Gosselin; Richard H Swartz; Jean-Martin Boulanger; Cynthia Danells
Journal:  Trials       Date:  2014-01-30       Impact factor: 2.279

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