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Published in: BMC Health Services Research 1/2015

Open Access 01-12-2015 | Research article

Demographic and clinical predictors of unplanned hospital utilisation among chronically ill patients: a prospective cohort study

Authors: Kylie-Ann Mallitt, Patrick Kelly, Natalie Plant, Tim Usherwood, James Gillespie, Steven Boyages, Stephen Jan, Stephen Leeder

Published in: BMC Health Services Research | Issue 1/2015

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Abstract

Background

In urban Australia, patients with serious and continuing illnesses make frequent use of hospital emergency department (ED) services. However, the risk factors for hospital utilisation among the broad population of people with chronic illness are not well known. The aim of this study was to assess the predictors of hospital utilisation (either inpatient admissions or ED visits) in a cohort of 308 patients with chronic illness.

Methods

We studied patients with serious and continuing chronic illnesses presenting to an ED in a large periurban hospital in western Sydney, Australia, between 2010 and 2013. ED presentations and hospital admissions were observed over two years. Multivariate negative-binomial regression analyses were used to identify risk factors for the number of presentations to hospital.

Results

The main risk factors for hospital utilisation were having a live-in carer, and a history of hospital utilisation. Having a live-in carer was associated with an increase in number of ED presentations by 88% (RR 1.88; 95% CI 1.41-2.51), and of admissions by 116% (RR 2.16; 95% CI 1.61-2.92). Seventy-seven percent of hospital utilisation in the cohort was attributable to carer status. Each additional ED presentation that a person had in the 12 months prior to the study led to an increased risk of an ED presentation in the follow-up period by 6% (RR = 1.06, 95% CI = 1.03-1.08). Between 20% and 25% of variability in hospital utilisation in the cohort was attributable to the number of hospital admissions or ED presentations in the previous 12 months.

Conclusions

Patients with a live-in carer and with a history of hospital utilisation are at high risk for future hospital use.
Literature
1.
go back to reference Australian Institute of Health and Welfare. Risk factors contributing to chronic disease. Catalogue No. PHE157. Canberra: Australian Institute of Health and Welfare; 2012. Australian Institute of Health and Welfare. Risk factors contributing to chronic disease. Catalogue No. PHE157. Canberra: Australian Institute of Health and Welfare; 2012.
2.
3.
go back to reference Australian Institute of Health and Welfare. Australia’s Health 2012. In: Australia’s Health Series Canberra. 2012. Australian Institute of Health and Welfare. Australia’s Health 2012. In: Australia’s Health Series Canberra. 2012.
4.
go back to reference Australian Government Department of Health and Ageing. The National Evaluation of the Second Round of Coordinated Care Trials. Final report. Barton: ACT; 2007. Australian Government Department of Health and Ageing. The National Evaluation of the Second Round of Coordinated Care Trials. Final report. Barton: ACT; 2007.
5.
go back to reference Chan DKY, Chong R, Basilikas J, Mathie M, Hung WT. Survey of major chronic illnesses and hospital admissions via the emergency department in a randomized older population in Randwick, Australia. Emerg Med. 2002;14:387–92.CrossRef Chan DKY, Chong R, Basilikas J, Mathie M, Hung WT. Survey of major chronic illnesses and hospital admissions via the emergency department in a randomized older population in Randwick, Australia. Emerg Med. 2002;14:387–92.CrossRef
6.
go back to reference Aminzadeh F, Dalziel WB. Older adults in the emergency department: a systematic review of patterns of use, adverse outcomes, and effectiveness of interventions. Ann Emerg Med. 2002;39:238–47.CrossRefPubMed Aminzadeh F, Dalziel WB. Older adults in the emergency department: a systematic review of patterns of use, adverse outcomes, and effectiveness of interventions. Ann Emerg Med. 2002;39:238–47.CrossRefPubMed
7.
go back to reference Hastings SN, Whitson HE, Purser JL, Sloane RJ, Johnson KS. Emergency department discharge diagnosis and adverse health outcomes in older adults. J Am Geriatr Soc. 2009;57:1856–61.CrossRefPubMedPubMedCentral Hastings SN, Whitson HE, Purser JL, Sloane RJ, Johnson KS. Emergency department discharge diagnosis and adverse health outcomes in older adults. J Am Geriatr Soc. 2009;57:1856–61.CrossRefPubMedPubMedCentral
8.
go back to reference Ouwens M, Wollersheim H, Hermens R, Hulscher M, Grol R. Integrated care programmes for chronically ill patients: a review of systematic reviews. Int J Qual Health C. 2005;17:141–6.CrossRef Ouwens M, Wollersheim H, Hermens R, Hulscher M, Grol R. Integrated care programmes for chronically ill patients: a review of systematic reviews. Int J Qual Health C. 2005;17:141–6.CrossRef
9.
go back to reference Salvi F, Morichi V, Grilli A, Giorgi R, De Tommaso G, Dessì-Fulgheri P. The elderly in the emergency department: a critical review of problems and solutions. Intern Emerg Med. 2007;2:292–301.CrossRefPubMed Salvi F, Morichi V, Grilli A, Giorgi R, De Tommaso G, Dessì-Fulgheri P. The elderly in the emergency department: a critical review of problems and solutions. Intern Emerg Med. 2007;2:292–301.CrossRefPubMed
10.
go back to reference Friedmann PD, Jin L, Karrison TG, Hayley DC, Mulliken R, Walter J, et al. Early revisit, hospitalization, or death among older persons discharged from the ED. Am J Emerg Med. 2001;19:125–9.CrossRefPubMed Friedmann PD, Jin L, Karrison TG, Hayley DC, Mulliken R, Walter J, et al. Early revisit, hospitalization, or death among older persons discharged from the ED. Am J Emerg Med. 2001;19:125–9.CrossRefPubMed
11.
go back to reference Hastings SN, Oddone EZ, Fillenbaum G, Sloane RJ, Schmader KE. Frequency and predictors of adverse health outcomes in older Medicare beneficiaries discharged from the emergency department. Med Care. 2008;46:771–7.CrossRefPubMed Hastings SN, Oddone EZ, Fillenbaum G, Sloane RJ, Schmader KE. Frequency and predictors of adverse health outcomes in older Medicare beneficiaries discharged from the emergency department. Med Care. 2008;46:771–7.CrossRefPubMed
12.
go back to reference van den Bussche H, Schön G, Kolonko T, Hansen H, Wegscheider K, Glaeske G, et al. Patterns of ambulatory medical care utilization in elderly patients with special reference to chronic diseases and multimorbidity: results from a claims data based observational study in Germany. BMC Geriatr. 2011;11:54.CrossRefPubMedPubMedCentral van den Bussche H, Schön G, Kolonko T, Hansen H, Wegscheider K, Glaeske G, et al. Patterns of ambulatory medical care utilization in elderly patients with special reference to chronic diseases and multimorbidity: results from a claims data based observational study in Germany. BMC Geriatr. 2011;11:54.CrossRefPubMedPubMedCentral
13.
go back to reference Begum N, Donald M, Ozolins IZ, Dower J. Hospital admissions, emergency department utilisation and patient activation for self-management among people with diabetes. Diabetes Res Clin Pract. 2011;93:260–7.CrossRefPubMed Begum N, Donald M, Ozolins IZ, Dower J. Hospital admissions, emergency department utilisation and patient activation for self-management among people with diabetes. Diabetes Res Clin Pract. 2011;93:260–7.CrossRefPubMed
14.
go back to reference Bodenheimer T, Wagner EH, Grumbach K. Improving primary care for patients with chronic illness. JAMA-J Am Med Assn. 2002;288:1909–14.CrossRef Bodenheimer T, Wagner EH, Grumbach K. Improving primary care for patients with chronic illness. JAMA-J Am Med Assn. 2002;288:1909–14.CrossRef
15.
go back to reference Garcia-Aymerich J, Lange P, Benet M, Schnohr P, Antó JM. Regular physical activity reduces hospital admission and mortality in chronic obstructive pulmonary disease: a population based cohort study. Thorax. 2006;61:772–8.CrossRefPubMedPubMedCentral Garcia-Aymerich J, Lange P, Benet M, Schnohr P, Antó JM. Regular physical activity reduces hospital admission and mortality in chronic obstructive pulmonary disease: a population based cohort study. Thorax. 2006;61:772–8.CrossRefPubMedPubMedCentral
16.
go back to reference Khan SS, Kazmi WH, Abichandani R, Tighiouart H, Pereira BJG, Kausz AT. Health care utilization among patients with chronic kidney disease. Kidney Int. 2002;62:229–36.CrossRefPubMed Khan SS, Kazmi WH, Abichandani R, Tighiouart H, Pereira BJG, Kausz AT. Health care utilization among patients with chronic kidney disease. Kidney Int. 2002;62:229–36.CrossRefPubMed
17.
go back to reference Krumholz HM, Chen Y-T, Wang Y, Vaccarino V, Radford MJ, Horwitz RI. Predictors of readmission among elderly survivors of admission with heart failure. Am Heart J. 2000;139:72–7.CrossRefPubMed Krumholz HM, Chen Y-T, Wang Y, Vaccarino V, Radford MJ, Horwitz RI. Predictors of readmission among elderly survivors of admission with heart failure. Am Heart J. 2000;139:72–7.CrossRefPubMed
18.
go back to reference Sandberg M, Kristensson J, Midlöv P, Fagerström C, Jakobsson U. Prevalence and predictors of healthcare utilization among older people (60+): Focusing on ADL dependency and risk of depression. Arch Gerontol Geriat. 2012;54:e349–63.CrossRef Sandberg M, Kristensson J, Midlöv P, Fagerström C, Jakobsson U. Prevalence and predictors of healthcare utilization among older people (60+): Focusing on ADL dependency and risk of depression. Arch Gerontol Geriat. 2012;54:e349–63.CrossRef
19.
go back to reference Plant N, Mallitt KA, Kelly P, Usherwood T, Gillespie J, Boyages S, et al. Implementation and effectiveness of ‘care navigation’, coordinated management for people with complex chronic illness: rationale and methods of a randomised controlled trial. BMC Health Serv Res. 2013;13:1–6.CrossRef Plant N, Mallitt KA, Kelly P, Usherwood T, Gillespie J, Boyages S, et al. Implementation and effectiveness of ‘care navigation’, coordinated management for people with complex chronic illness: rationale and methods of a randomised controlled trial. BMC Health Serv Res. 2013;13:1–6.CrossRef
20.
go back to reference Spiegelman D, Hertzmark E, Wand HC. Point and interval estimates of partial population attributable risks in cohort studies: examples and software. Cancer Cause Control. 2007;18:571–9.CrossRef Spiegelman D, Hertzmark E, Wand HC. Point and interval estimates of partial population attributable risks in cohort studies: examples and software. Cancer Cause Control. 2007;18:571–9.CrossRef
21.
go back to reference Inouye SK, Zhang Y, Jones RN, Shi P, Cupples LA, Calderon HN, et al. Risk factors for hospitalization among community-dwelling primary care older patients: development and validation of a predictive model. Med Care. 2008;46:726.CrossRefPubMedPubMedCentral Inouye SK, Zhang Y, Jones RN, Shi P, Cupples LA, Calderon HN, et al. Risk factors for hospitalization among community-dwelling primary care older patients: development and validation of a predictive model. Med Care. 2008;46:726.CrossRefPubMedPubMedCentral
22.
go back to reference McCusker J, Ionescu-Ittu R, Ciampi A, Vadeboncoeur A, Roberge D, Larouche D, et al. Hospital characteristics and emergency department care of older patients are associated with return visits. Acad Emerg Med. 2007;14:426–33.CrossRefPubMed McCusker J, Ionescu-Ittu R, Ciampi A, Vadeboncoeur A, Roberge D, Larouche D, et al. Hospital characteristics and emergency department care of older patients are associated with return visits. Acad Emerg Med. 2007;14:426–33.CrossRefPubMed
23.
go back to reference Browne GB, Arpin K, Corey P, Fitch M, Gafni A. Individual correlates of health service utilization and the cost of poor adjustment to chronic illness. Med Care. 1990;28:43–58.CrossRefPubMed Browne GB, Arpin K, Corey P, Fitch M, Gafni A. Individual correlates of health service utilization and the cost of poor adjustment to chronic illness. Med Care. 1990;28:43–58.CrossRefPubMed
24.
go back to reference de Boer AGEM, Wijker W, de Haes HCJM. Predictors of health care utilization in the chronically ill: a review of the literature. Health Policy. 1997;42:101–15.CrossRefPubMed de Boer AGEM, Wijker W, de Haes HCJM. Predictors of health care utilization in the chronically ill: a review of the literature. Health Policy. 1997;42:101–15.CrossRefPubMed
25.
go back to reference Smith DM, Giobbie-Hurder A, Weinberger M, Oddone EZ, Henderson WG, Asch DA, et al. Predicting non-elective hospital readmissions: a multi-site study. J Clin Epidemiol. 2000;53:1113–8.CrossRefPubMed Smith DM, Giobbie-Hurder A, Weinberger M, Oddone EZ, Henderson WG, Asch DA, et al. Predicting non-elective hospital readmissions: a multi-site study. J Clin Epidemiol. 2000;53:1113–8.CrossRefPubMed
Metadata
Title
Demographic and clinical predictors of unplanned hospital utilisation among chronically ill patients: a prospective cohort study
Authors
Kylie-Ann Mallitt
Patrick Kelly
Natalie Plant
Tim Usherwood
James Gillespie
Steven Boyages
Stephen Jan
Stephen Leeder
Publication date
01-12-2015
Publisher
BioMed Central
Published in
BMC Health Services Research / Issue 1/2015
Electronic ISSN: 1472-6963
DOI
https://doi.org/10.1186/s12913-015-0789-0

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