Literature DB >> 14960424

A systematic literature review of factors affecting outcome in older medical patients admitted to hospital.

Susan E Campbell1, D Gwyn Seymour, Willie R Primrose.   

Abstract

INTRODUCTION: The ACMEplus project aims to devise a standardised system for measuring case-mix and outcome in older patients admitted to hospitals in different parts of Europe for primarily 'medical' (i.e. not surgical or psychiatric) reasons. As a first step in this project, a systematic review was carried out to identify factors which had a significant influence on outcome in such patients.
METHODS: The systematic search used Medline 1966-2000, Cinahl 1982-2000, Web of Science 1981-2000, reference lists of relevant papers and a hand search of Age and Ageing 1974-2000. A six-category grading system was devised to classify the 313 identified papers with regard to their relevance to the ACMEplus project, study design and power. The analysis of the 14 'category 1' papers is presented.
RESULTS: The main areas of assessment of case-mix were function, cognition, depression, illness severity, nutrition, social elements, aspects of diagnosis and demographic details. Statistically significant predictors, for the four outcome measures, listed below were: For length of stay: functional status score, illness severity, cognitive score, poor nutrition, comorbidity score, diagnosis or presenting illness, polypharmacy, age and gender. For mortality: functional status score, illness severity, cognitive score, comorbidity score, diagnosis or presenting illness, polypharmacy, age and gender. For discharge destination: functional status score, cognitive score, diagnosis or presenting illness and age. For readmission rate: functional status score, illness severity, co-morbidity, polypharmacy, diagnosis or presenting illness and age.
CONCLUSIONS: Factors affecting outcome in older medical patients are complex. When looking at outcomes of hospital admission in older people it is important not just to look at routinely available statistics such as age, gender and diagnosis but also to take into account multifaceted aspects such as functional status and cognitive function.

Entities:  

Mesh:

Year:  2004        PMID: 14960424     DOI: 10.1093/ageing/afh036

Source DB:  PubMed          Journal:  Age Ageing        ISSN: 0002-0729            Impact factor:   10.668


  82 in total

1.  Risk Assessment of Acute, All-Cause 30-Day Readmission in Patients Aged 65+: a Nationwide, Register-Based Cohort Study.

Authors:  Mona K Pedersen; Gunnar L Nielsen; Lisbeth Uhrenfeldt; Søren Lundbye-Christensen
Journal:  J Gen Intern Med       Date:  2018-12-03       Impact factor: 5.128

2.  Post-acute care services received by older adults following a cardiac event: a population-based analysis.

Authors:  Mary A Dolansky; Fang Xu; Melissa Zullo; Mehdi Shishehbor; Shirley M Moore; Alfred A Rimm
Journal:  J Cardiovasc Nurs       Date:  2010 Jul-Aug       Impact factor: 2.083

3.  Risk factors for 90-day and 180-day mortality in hospitalised patients with pressure ulcers.

Authors:  Anna Flattau; Arthur E Blank
Journal:  Int Wound J       Date:  2012-06-28       Impact factor: 3.315

4.  Issues potentially affecting quality of life arising from long-term medicines use: a qualitative study.

Authors:  Janet Krska; Charles W Morecroft; Helen Poole; Philip H Rowe
Journal:  Int J Clin Pharm       Date:  2013-08-29

5.  Use of interpreters by physicians for hospitalized limited English proficient patients and its impact on patient outcomes.

Authors:  Lenny López; Fátima Rodriguez; Diego Huerta; Jane Soukup; Leroi Hicks
Journal:  J Gen Intern Med       Date:  2015-02-10       Impact factor: 5.128

Review 6.  Prescribing for older people.

Authors:  James C Milton; Ian Hill-Smith; Stephen H D Jackson
Journal:  BMJ       Date:  2008-03-15

Review 7.  Are informal carers and community care workers effective in managing malnutrition in the older adult community? A systematic review of current evidence.

Authors:  S Marshall; J Bauer; S Capra; E Isenring
Journal:  J Nutr Health Aging       Date:  2013       Impact factor: 4.075

8.  Consideration of comorbidity in risk stratification prior to prostate biopsy.

Authors:  Michael A Liss; John Billimek; Kathryn Osann; Jane Cho; Ross Moskowitz; Adam Kaplan; Richard J Szabo; Sherrie H Kaplan; Sheldon Greenfield; Atreya Dash
Journal:  Cancer       Date:  2013-04-25       Impact factor: 6.860

9.  Predictors of long-term care utilization by Dutch hospital patients aged 65+.

Authors:  Albert Wong; Rianne Elderkamp-de Groot; Johan Polder; Job van Exel
Journal:  BMC Health Serv Res       Date:  2010-05-06       Impact factor: 2.655

10.  Predictors of in-hospital mortality among older patients.

Authors:  Thiago J A Silva; Cláudia Szlejf Jerussalmy; José M Farfel; José A E Curiati; Wilson Jacob-Filho
Journal:  Clinics (Sao Paulo)       Date:  2009       Impact factor: 2.365

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