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

03.12.2018 | Original Research

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

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

Erschienen in: Journal of General Internal Medicine | Ausgabe 2/2019

Einloggen, um Zugang zu erhalten

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.
Anhänge
Nur mit Berechtigung zugänglich
Literatur
1.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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
Metadaten
Titel
Risk Assessment of Acute, All-Cause 30-Day Readmission in Patients Aged 65+: a Nationwide, Register-Based Cohort Study
verfasst von
Mona K. Pedersen, PhD
Gunnar L. Nielsen, MD
Lisbeth Uhrenfeldt, PhD
Søren Lundbye-Christensen, PhD
Publikationsdatum
03.12.2018
Verlag
Springer US
Erschienen in
Journal of General Internal Medicine / Ausgabe 2/2019
Print ISSN: 0884-8734
Elektronische ISSN: 1525-1497
DOI
https://doi.org/10.1007/s11606-018-4748-4

Weitere Artikel der Ausgabe 2/2019

Journal of General Internal Medicine 2/2019 Zur Ausgabe

Leitlinien kompakt für die Innere Medizin

Mit medbee Pocketcards sicher entscheiden.

Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag

Update Innere Medizin

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.