Skip to main content
Top
Published in: Journal of General Internal Medicine 2/2019

01-02-2019 | Original Research

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

Authors: Mona K. Pedersen, PhD, Gunnar L. Nielsen, MD, Lisbeth Uhrenfeldt, PhD, Søren Lundbye-Christensen, PhD

Published in: Journal of General Internal Medicine | Issue 2/2019

Login to get access

Abstract

Background

Hospital readmission is considered an adverse health outcome in older people, adding additional pressure on clinical resources within health care services. Despite numerous studies on risk factors for readmissions, studies find different strengths of respective determinants and there is a need to explore and identify patterns of risk factors in larger cohorts.

Objective

Exploring and identifying patterns of risk factors for acute, all-cause 30-day readmission in a Danish cohort of patients aged 65+.

Design

Register-based cohort study using individual-level linkable information on demographics, social determinants, clinical conditions, health care utilization, and provider determinants obtained from primary and secondary health care.

Participants

Historic cohort of 1,267,752 admissions in 479,854 patients, aged 65+, discharged from Danish public hospitals from January 2007 to September 2010.

Main Measures

We included patient-level variables and admission-level variables. Outcome was acute, all-cause 30-day readmission. Data was analyzed by univariable and multivariable logistic regression. Strength of associations was analyzed using Wald test statistics. Receiver operating characteristic (ROC) analysis was used for quantification of predictive ability. For validation, we used split-sample design.

Key Results

Acute admission and number of days since previous hospital discharge were factors strongly associated with readmission. Patients at risk of future readmission suffered from comorbidity, consumed more drugs, and were frequent users of in- and outpatient health care services in the year prior to the index admission. Factors related to index admission were only weakly associated with readmission. The predictive ability was 0.709 (0.707–0.711) for acute readmission.

Conclusions

In a general population of older people, we found that pre-hospital factors rather than hospital factors account for increased risk of readmission and are dominant contributors to predict acute all-cause 30-day readmission. Therefore, risk for excess readmission should be shared across sectors and focus the care trajectory over time rather than distinct care episodes.
Appendix
Available only for authorised users
Literature
1.
go back to reference Jencks SF, Williams MV, Coleman EA. Rehospitalizations among patients in the medicare fee-for-service program. N Engl J Med 2009;360:1418–28.CrossRefPubMed Jencks SF, Williams MV, Coleman EA. Rehospitalizations among patients in the medicare fee-for-service program. N Engl J Med 2009;360:1418–28.CrossRefPubMed
2.
go back to reference Joynt KE, Oraw EJ, Jha AK. Thirty-day readmission rates for Medicare beneficiaries by race and site of care. JAMA 2011;61(2):300–1. Joynt KE, Oraw EJ, Jha AK. Thirty-day readmission rates for Medicare beneficiaries by race and site of care. JAMA 2011;61(2):300–1.
3.
go back to reference Arbaje AI, Wolff JL, Qilu Y, Powe NR, Anderson GF, Boult C. Postdischarge Environmental and Socioeconomic Factors and the Likelihood of Early Hospital Readmission Among Community-Dwelling Medicare Beneficiaries. Gerontologist 2008;48(4):95–104.CrossRef Arbaje AI, Wolff JL, Qilu Y, Powe NR, Anderson GF, Boult C. Postdischarge Environmental and Socioeconomic Factors and the Likelihood of Early Hospital Readmission Among Community-Dwelling Medicare Beneficiaries. Gerontologist 2008;48(4):95–104.CrossRef
4.
go back to reference Robinson T, Kerse N. Medical readmissions amongst older New Zealanders: a descriptive analysis. N Z Med J 2012;125(1367):24–34.PubMed Robinson T, Kerse N. Medical readmissions amongst older New Zealanders: a descriptive analysis. N Z Med J 2012;125(1367):24–34.PubMed
6.
go back to reference Hasan O, Meltzer DO, Shaykevich SA et al. Hospital readmission in general medicine patients: a prediction model. J Gen Intern Med 2010;25(3):211–19.CrossRefPubMed Hasan O, Meltzer DO, Shaykevich SA et al. Hospital readmission in general medicine patients: a prediction model. J Gen Intern Med 2010;25(3):211–19.CrossRefPubMed
7.
go back to reference Stäck P, Forsberg B, Högsberg M, Werr J, Erdgren G. Risken for akut återinläggning kan förutssägas. [The risk of acute readmission can be predicted. Former care consumption patterns and certain diagnoses are strongly predictive]. Läkartidningen 2012;48(109):2211–15. Stäck P, Forsberg B, Högsberg M, Werr J, Erdgren G. Risken for akut återinläggning kan förutssägas. [The risk of acute readmission can be predicted. Former care consumption patterns and certain diagnoses are strongly predictive]. Läkartidningen 2012;48(109):2211–15.
10.
go back to reference Naylor MD, Aiken LH, Kurtzman ET, Olds DM, Hirschman KB. The importance of transitional care in achieving health reform. Health Aff 2011; 30: 746–54.CrossRef Naylor MD, Aiken LH, Kurtzman ET, Olds DM, Hirschman KB. The importance of transitional care in achieving health reform. Health Aff 2011; 30: 746–54.CrossRef
11.
go back to reference Zuckerman RB, Sheingold SH, Oraqv EJ, Ruther J, Epstein A. Readmissions, observation, and the hospital readmissions reduction program. N Engl J Med 2016; 374:1543–51.CrossRefPubMed Zuckerman RB, Sheingold SH, Oraqv EJ, Ruther J, Epstein A. Readmissions, observation, and the hospital readmissions reduction program. N Engl J Med 2016; 374:1543–51.CrossRefPubMed
12.
go back to reference Coleman EA, Min S, Chomiak A, Kramer AM. Posthospital care transitions: patterns, complications, and risk identification. Health Serv Res 2004;5(39):1449–65.CrossRefPubMedPubMedCentral Coleman EA, Min S, Chomiak A, Kramer AM. Posthospital care transitions: patterns, complications, and risk identification. Health Serv Res 2004;5(39):1449–65.CrossRefPubMedPubMedCentral
13.
go back to reference Steyerberg EW, Vickers AJ, Cook NR et al. Assessing the performance of prediction models. a framework for traditional and novel measures. Epidemiology 2010;21(1):128–38.CrossRefPubMedPubMedCentral Steyerberg EW, Vickers AJ, Cook NR et al. Assessing the performance of prediction models. a framework for traditional and novel measures. Epidemiology 2010;21(1):128–38.CrossRefPubMedPubMedCentral
14.
go back to reference Campbell SE, Seymour DG, Primrose WR. ACME plus project. A systematic literature review of factors affecting outcome in older medical patients admitted to hospital. Age Ageing 2004;33(2):110–15.CrossRefPubMed Campbell SE, Seymour DG, Primrose WR. ACME plus project. A systematic literature review of factors affecting outcome in older medical patients admitted to hospital. Age Ageing 2004;33(2):110–15.CrossRefPubMed
15.
go back to reference Dobrzanska L, Newell R. Readmissions: a primary care examination of reasons for readmission of older people and possible readmission risk factors. J Clin Nurs 2006; 15(5): 599–606.CrossRefPubMed Dobrzanska L, Newell R. Readmissions: a primary care examination of reasons for readmission of older people and possible readmission risk factors. J Clin Nurs 2006; 15(5): 599–606.CrossRefPubMed
16.
go back to reference Zanocchi M, Maero B, Martinelli E et al. Early re-hospitalization of elderly people discharged from a geriatric ward. Aging Clin Exp Res 2006;18(1):63–69.CrossRefPubMed Zanocchi M, Maero B, Martinelli E et al. Early re-hospitalization of elderly people discharged from a geriatric ward. Aging Clin Exp Res 2006;18(1):63–69.CrossRefPubMed
17.
go back to reference García-Pérez L, Linertová R, Lorenzo-Riera A, Vázquez-Díaz JR, Duque-González B, Sarría-Santamera A. Risk factors for hospital readmissions in elderly patients: a systematic review. QJM 2011;104:639–51.CrossRefPubMed García-Pérez L, Linertová R, Lorenzo-Riera A, Vázquez-Díaz JR, Duque-González B, Sarría-Santamera A. Risk factors for hospital readmissions in elderly patients: a systematic review. QJM 2011;104:639–51.CrossRefPubMed
18.
go back to reference Pedersen MK, Meyer G, Uhrenfeldt L. Risk factors for acute care hospital readmission in persons aged 60 and over from western countries: a systematic review. JBI Database System Rev Implement Rep 2017;15(2):454–85.PubMed Pedersen MK, Meyer G, Uhrenfeldt L. Risk factors for acute care hospital readmission in persons aged 60 and over from western countries: a systematic review. JBI Database System Rev Implement Rep 2017;15(2):454–85.PubMed
19.
go back to reference Lee EW. Selecting the best prediction model for readmission. J Prev Public Health 2012; 45; 259–66.CrossRef Lee EW. Selecting the best prediction model for readmission. J Prev Public Health 2012; 45; 259–66.CrossRef
20.
go back to reference Kansagara D, Englander H, Salanitro A et al. Risk prediction models for hospital readmission. A Systematic Review. JAMA 2011;306(15):1688–98.PubMed Kansagara D, Englander H, Salanitro A et al. Risk prediction models for hospital readmission. A Systematic Review. JAMA 2011;306(15):1688–98.PubMed
21.
go back to reference Beswick AA, Goberman-Hill R, Smith A, Wylde V, Ebrahim S. Maintaining independence in older people. Rev Clin Gerontol 2010; 20: 128–53.CrossRef Beswick AA, Goberman-Hill R, Smith A, Wylde V, Ebrahim S. Maintaining independence in older people. Rev Clin Gerontol 2010; 20: 128–53.CrossRef
22.
go back to reference Christensen K, Doblhammer G, Rau R, Vaupel J W. Ageing populations: the challenges ahead. The Lancet 2009; 374(9696): 1196–1208.CrossRef Christensen K, Doblhammer G, Rau R, Vaupel J W. Ageing populations: the challenges ahead. The Lancet 2009; 374(9696): 1196–1208.CrossRef
23.
go back to reference Kjøller M, Davidsen M, Juel K. Ældrebefolkningens sundhedstilstand i Danmark -analyser baseret på Sundheds- og sygelighedsundersøgelsen 2005 og udvalgte registre [Health and wellbeing of the aging population in Denmark - analyses based on the Survey of Health and Morbidity 2005 and information from selected population based registers]. National Board of Health. 2010. Kjøller M, Davidsen M, Juel K. Ældrebefolkningens sundhedstilstand i Danmark -analyser baseret på Sundheds- og sygelighedsundersøgelsen 2005 og udvalgte registre [Health and wellbeing of the aging population in Denmark - analyses based on the Survey of Health and Morbidity 2005 and information from selected population based registers]. National Board of Health. 2010.
25.
go back to reference Vallgårda S. Addressing individual behaviors and living conditions: four Nordic public health policies. SJPH 2010; 39(Suppl): 6–10. Vallgårda S. Addressing individual behaviors and living conditions: four Nordic public health policies. SJPH 2010; 39(Suppl): 6–10.
26.
go back to reference Health care in Denmark – an overview. Ministry of Health, Copenhagen, Denmark 2017. www.sum.dk. Accessed October 10, 2018. Health care in Denmark – an overview. Ministry of Health, Copenhagen, Denmark 2017. www.​sum.​dk. Accessed October 10, 2018.
27.
go back to reference Thygesen LC, Daasnes C, Thaulow I, Brønnum-Hansen H. Introduction to Danish (nationwide) registers on health and social issues: structure, access, legislation, and archiving. SJPH 2011;39(suppl 7):12–16. Thygesen LC, Daasnes C, Thaulow I, Brønnum-Hansen H. Introduction to Danish (nationwide) registers on health and social issues: structure, access, legislation, and archiving. SJPH 2011;39(suppl 7):12–16.
28.
go back to reference Pedersen MK, Nielsen GL Uhrenfeldt L, Rasmussen OS, Lundbye-Christensen S. Description of OPRA: A Danish database designed for the analyses of risk factors associated with 30-day hospital readmission of people aged 65+ years. Scand J Public Health. 2017;45(6):595–604.CrossRefPubMed Pedersen MK, Nielsen GL Uhrenfeldt L, Rasmussen OS, Lundbye-Christensen S. Description of OPRA: A Danish database designed for the analyses of risk factors associated with 30-day hospital readmission of people aged 65+ years. Scand J Public Health. 2017;45(6):595–604.CrossRefPubMed
29.
go back to reference Lynge E, Sandegaard JL, Rebolj M. The Danish National Patient Register. SJPH 2011;39(suppl 7):30–33. Lynge E, Sandegaard JL, Rebolj M. The Danish National Patient Register. SJPH 2011;39(suppl 7):30–33.
30.
go back to reference Schmidt M, Schmidt SAJ, Sandegaard JL, Ehrenstein V, Pedersen L, Sørensen HT. The Danish National Patient Registry: a review of content, data quality, and research potential. Clin Epidemiolog 2015;7:449–90.CrossRef Schmidt M, Schmidt SAJ, Sandegaard JL, Ehrenstein V, Pedersen L, Sørensen HT. The Danish National Patient Registry: a review of content, data quality, and research potential. Clin Epidemiolog 2015;7:449–90.CrossRef
31.
go back to reference Breiman L. Statistical modeling: two cultures. Stat Sci 2001;3(16):199–231.CrossRef Breiman L. Statistical modeling: two cultures. Stat Sci 2001;3(16):199–231.CrossRef
32.
33.
go back to reference Greenland S, Rothman KJ. Fundamentals of epidemiologic data analysis in: Rothman KJ, Greenland S, Lash TL (ed). Modern epidemiology. Wolters Kluwer, Lippincott Williams & Williams. Philidelphia; 2008. p. 213–37. Greenland S, Rothman KJ. Fundamentals of epidemiologic data analysis in: Rothman KJ, Greenland S, Lash TL (ed). Modern epidemiology. Wolters Kluwer, Lippincott Williams & Williams. Philidelphia; 2008. p. 213–37.
34.
go back to reference Beewick V, Cheek L, Ball J. Statistics review 13: Receiver operating characteristic curves. Crit Care 2014;8:508–12.CrossRef Beewick V, Cheek L, Ball J. Statistics review 13: Receiver operating characteristic curves. Crit Care 2014;8:508–12.CrossRef
35.
go back to reference Steyerberg EW, Harrell FE, Borsboom GJJM, Eijkemans MJC, Vergouwe Y, Habbema JDF. Internal validation of predictive models: efficiency of some procedures for logistic regression analysis. J Clin Epidemiol 2001;54(8):774–81. Steyerberg EW, Harrell FE, Borsboom GJJM, Eijkemans MJC, Vergouwe Y, Habbema JDF. Internal validation of predictive models: efficiency of some procedures for logistic regression analysis. J Clin Epidemiol 2001;54(8):774–81.
36.
go back to reference Steyerberg EW, Vergouwe Y. Towards better clinical prediction models: seven steps for development and an ABCD for validation. Eur Heart J 2014:35:1925–31.CrossRefPubMedPubMedCentral Steyerberg EW, Vergouwe Y. Towards better clinical prediction models: seven steps for development and an ABCD for validation. Eur Heart J 2014:35:1925–31.CrossRefPubMedPubMedCentral
37.
go back to reference Cornette P, D'Hoore W, Malhomme B, Van Pee D, Meert P, Swine C. Differential risk factors for early and later hospital readmission of older patients. Aging Clin Exp Res 2005;17(4):322–28.CrossRef Cornette P, D'Hoore W, Malhomme B, Van Pee D, Meert P, Swine C. Differential risk factors for early and later hospital readmission of older patients. Aging Clin Exp Res 2005;17(4):322–28.CrossRef
38.
go back to reference Spector WD, Mutter R, Owens P, Limcangco R. Thirty-day, all-cause readmissions for elderly patients who have an injury-related inpatient stay. Med Care 2012;50(10):863–9.CrossRefPubMed Spector WD, Mutter R, Owens P, Limcangco R. Thirty-day, all-cause readmissions for elderly patients who have an injury-related inpatient stay. Med Care 2012;50(10):863–9.CrossRefPubMed
39.
go back to reference Espallargues M, Philp I, Seymour DG et al. Measuring case-mix and outcome for older people in acute hospital care across Europe: the development and potential of the ACMEplus instrument. QJM 2008;101(2):99–109.CrossRefPubMed Espallargues M, Philp I, Seymour DG et al. Measuring case-mix and outcome for older people in acute hospital care across Europe: the development and potential of the ACMEplus instrument. QJM 2008;101(2):99–109.CrossRefPubMed
40.
go back to reference Pines JM, Mongelluzzo J, Hilton JA et al. Postdischarge adverse events for 1-day hospital admissions in older adults admitted from the emergency department. Ann Emerg Med 2010;56(3):253–7.CrossRefPubMed Pines JM, Mongelluzzo J, Hilton JA et al. Postdischarge adverse events for 1-day hospital admissions in older adults admitted from the emergency department. Ann Emerg Med 2010;56(3):253–7.CrossRefPubMed
41.
go back to reference Laniece I, Couturier P, Drame M et al. Incidence and main factors associated with early unplanned hospital readmission among French medical inpatients aged 75 and over admitted through emergency units. Age Ageing 2008;37(4):416–22.CrossRefPubMed Laniece I, Couturier P, Drame M et al. Incidence and main factors associated with early unplanned hospital readmission among French medical inpatients aged 75 and over admitted through emergency units. Age Ageing 2008;37(4):416–22.CrossRefPubMed
42.
go back to reference Marengoni A, Angleman S, Melis R et al. Aging with multimorbidity: A systemantic review of the literature. Ageing Res. Rev 2011;10:430–39.CrossRefPubMed Marengoni A, Angleman S, Melis R et al. Aging with multimorbidity: A systemantic review of the literature. Ageing Res. Rev 2011;10:430–39.CrossRefPubMed
44.
go back to reference Donzé J, Lipsitz S, Bates DW, Schnipper JL. Causes and patterns of readmissions in patients with common comorbidities: retrospective cohort study. BMJ 2013;347:f7171.CrossRefPubMedPubMedCentral Donzé J, Lipsitz S, Bates DW, Schnipper JL. Causes and patterns of readmissions in patients with common comorbidities: retrospective cohort study. BMJ 2013;347:f7171.CrossRefPubMedPubMedCentral
45.
go back to reference Charlson ME, Pompei P, Ales KL, Mackenzie CR. A new method of classifying prognostic morbidity in longitudinal studies; development and validation. J Chron Dis 1987;40(5):373–83.CrossRefPubMed Charlson ME, Pompei P, Ales KL, Mackenzie CR. A new method of classifying prognostic morbidity in longitudinal studies; development and validation. J Chron Dis 1987;40(5):373–83.CrossRefPubMed
46.
go back to reference Ording AG, Sørensen HT. Concepts of comorbidities, multiple morbidities, complications and their clinical epidemiologic analogues. Clin Epidemiol 2013;5:199–203.CrossRefPubMedPubMedCentral Ording AG, Sørensen HT. Concepts of comorbidities, multiple morbidities, complications and their clinical epidemiologic analogues. Clin Epidemiol 2013;5:199–203.CrossRefPubMedPubMedCentral
47.
go back to reference Purdy S, Griffin T, Salisbury C, Sharp D. Ambulatory care sensitive conditions: terminology and disease coding need to be more specific to aid policy makers and clinicians. J Public Health 2009;123(2):169–73.CrossRef Purdy S, Griffin T, Salisbury C, Sharp D. Ambulatory care sensitive conditions: terminology and disease coding need to be more specific to aid policy makers and clinicians. J Public Health 2009;123(2):169–73.CrossRef
48.
go back to reference Oksuzyan A, Juel K, Vaupel JW, Christensen K. Men: good health and high mortality. Sex differences in health and aging. Aging Clin Exp Res 2008;20(2):91–102.CrossRefPubMedPubMedCentral Oksuzyan A, Juel K, Vaupel JW, Christensen K. Men: good health and high mortality. Sex differences in health and aging. Aging Clin Exp Res 2008;20(2):91–102.CrossRefPubMedPubMedCentral
49.
go back to reference Oksuzyzyan A, Brønnum-Hansen H, Jeune B. Gender gap in health expectancy. Eur J Ageing 2010;7:213–18.CrossRef Oksuzyzyan A, Brønnum-Hansen H, Jeune B. Gender gap in health expectancy. Eur J Ageing 2010;7:213–18.CrossRef
50.
go back to reference Juel K, Christensen K. Are men seeking medical advice too late? Contacts to general practitioners, hospital admissions in Denmark 2005. J Public Health 2007;30:111–13. Juel K, Christensen K. Are men seeking medical advice too late? Contacts to general practitioners, hospital admissions in Denmark 2005. J Public Health 2007;30:111–13.
51.
go back to reference Leppin AL, Gionfriddo MR, Kessler M et al. Preventing 30-day hospital readmissions -a systematic review and meta-analysis of randomized trials. JAMA Intern Med 2014;174(7):1095–1107.CrossRefPubMedPubMedCentral Leppin AL, Gionfriddo MR, Kessler M et al. Preventing 30-day hospital readmissions -a systematic review and meta-analysis of randomized trials. JAMA Intern Med 2014;174(7):1095–1107.CrossRefPubMedPubMedCentral
52.
go back to reference Silverstein MD, Quin H, Mercer SQ, Fong J, Haydar Z. Risk factors for 30-day hospital readmission in patients ≥65 years of age. Proc (Bayl Univ Med Cent) 2008;21(4):363–72.CrossRefPubMedCentral Silverstein MD, Quin H, Mercer SQ, Fong J, Haydar Z. Risk factors for 30-day hospital readmission in patients ≥65 years of age. Proc (Bayl Univ Med Cent) 2008;21(4):363–72.CrossRefPubMedCentral
Metadata
Title
Risk Assessment of Acute, All-Cause 30-Day Readmission in Patients Aged 65+: a Nationwide, Register-Based Cohort Study
Authors
Mona K. Pedersen, PhD
Gunnar L. Nielsen, MD
Lisbeth Uhrenfeldt, PhD
Søren Lundbye-Christensen, PhD
Publication date
01-02-2019
Publisher
Springer US
Published in
Journal of General Internal Medicine / Issue 2/2019
Print ISSN: 0884-8734
Electronic ISSN: 1525-1497
DOI
https://doi.org/10.1007/s11606-018-4748-4

Other articles of this Issue 2/2019

Journal of General Internal Medicine 2/2019 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine

Highlights from the ACC 2024 Congress

Year in Review: Pediatric cardiology

Watch Dr. Anne Marie Valente present the last year's highlights in pediatric and congenital heart disease in the official ACC.24 Year in Review session.

Year in Review: Pulmonary vascular disease

The last year's highlights in pulmonary vascular disease are presented by Dr. Jane Leopold in this official video from ACC.24.

Year in Review: Valvular heart disease

Watch Prof. William Zoghbi present the last year's highlights in valvular heart disease from the official ACC.24 Year in Review session.

Year in Review: Heart failure and cardiomyopathies

Watch this official video from ACC.24. Dr. Biykem Bozkurt discusses last year's major advances in heart failure and cardiomyopathies.