Abstract
Summary
Hip fracture trajectories have not been examined for older adults in aged care or living in the community. Trajectories of health care use were defined by distinct predictive factors. These results can inform the development of targeted strategies to reduce health service use following hip fracture.
Objective
To examine hospital service use trajectories of older adults who were hospitalised for hip fracture and living in a residential aged care facility (RACF) or the community, and to identify factors predictive of trajectory group membership. These findings may inform future programmes aimed at reducing unexpected hospitalisations and subsequently reduce health care costs.
Methods
A group-based trajectory analysis of hospitalisations was conducted for adults aged ≥ 65 years hospitalised for hip fracture during 2008–2009 in New South Wales, Australia. Linked hospitalisation and RACF data were examined for a 5-year period. Group-based trajectory models were derived for RACF and community-dwelling older adults based on the number of subsequent hospital admissions following the index hip fracture. Multinomial logistic regression examined predictors of trajectory group membership for subsequent hospital admissions.
Results
There were 5752 hip fracture hospitalisations, with two-thirds of hip fractures occurring in community-dwellers. Key predictors of trajectory group membership for both RACF residents and community-dwellers were age group, sex, hospital length of stay and cognitive impairment. Assistance with activities of daily living and complex health care needs were also predictive of group membership in RACF residents. Location of residence and time to move to a RACF were additional predictors of group membership for community-dwellers.
Conclusion
Health service use trajectories differed for RACF residents and community-dwellers; however, there were similar patient characteristics that defined trajectory group membership. Low users of hospital services living in RACFs or the community included older adults with generally unfavourable health conditions, potentially indicating that palliative care or advanced care directives and community-care initiatives, respectively, have played a part in the lowered frequency of rehospitalisation.
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References
Hall SE, Williams JA, Senior JA, Goldswain PRT, Criddle RA (2000) Hip fracture outcomes: quality of life and functional status in older adults living in the community. Aust N Z J Med 30(3):327–332. https://doi.org/10.1111/j.1445-5994.2000.tb00833.x
Haentjens P, Magaziner J, Colón-Emeric CS, Vanderschueren D, Milisen K, Velkeniers B, Boonen S (2010) Meta-analysis: excess mortality after hip fracture among older women and men. Ann Intern Med 152(6):380–390. https://doi.org/10.7326/0003-4819-152-6-201003160-00008
Balzer-Geldsetzer M, Buecking B, Ruchholtz S, Kis B, Dodel R, Hessmann P (2019) Association between longitudinal clinical outcomes in patients with hip fracture and their pre-fracture place of residence. Psychogeriatrics. https://doi.org/10.1111/psyg.12450
Jensen J, Lundin-Olsson L, Nyberg L, Gustafson Y (2002) Falls among frail older people in residential care. Scand J Public Health 30(1):54–61. https://doi.org/10.1177/14034948020300011201
Kates SL, Behrend C, Mendelson DA, Cram P, Friedman SM (2015) Hospital readmission after hip fracture. Arch Orthop Trauma Surg 135(3):329–337. https://doi.org/10.1007/s00402-014-2141-2
Basques BA, Bohl DD, Golinvaux NS, Leslie MP, Baumgaertner MR, Grauer JN (2015) Postoperative length of stay and 30-day readmission after geriatric hip fracture: an analysis of 8434 patients. J Orthop Trauma 29(3):115–120. https://doi.org/10.1097/bot.0000000000000222
Pollock FH, Bethea A, Samanta D, Modak A, Maurer JP, Chumbe JT (2015) Readmission within 30 days of discharge after hip fracture care. Orthopedics 38(1):7–13. https://doi.org/10.3928/01477447-20150105-53
Khan MA, Hossain FS, Dashti Z, Muthukumar N (2012) Causes and predictors of early re-admission after surgery for a fracture of the hip. J Bone Joint Sur Br 94(5):690–697. https://doi.org/10.1302/0301-620x.94b5.28933
French DD, Bass E, Bradham DD, Campbell RR, Rubenstein LZ (2008) Rehospitalization after hip fracture: predictors and prognosis from a national veterans study. J Am Geriatr Soc 56(4):705–710. https://doi.org/10.1111/j.1532-5415.2007.01479.x
Salpakoski A, Tormakangas T, Edgren J, Sihvonen S, Pekkonen M, Heinonen A, Pesola M, Kallinen M, Rantanen T, Sipila S (2014) Walking recovery after a hip fracture: a prospective follow-up study among community-dwelling over 60-year old men and women. Biomed Res Int 2014.https://doi.org/10.1155/2014/289549
Aronow HU, Sharkey P, Siebens HC, Horn SD, Smout RJ, DeJong G, Munin MC, Radnay CS (2012) Initial recovery trajectories among patients with hip fracture: a conceptual approach to exploring comparative effectiveness in postacute care. Phys Med Rehabil 4(4):264–272. https://doi.org/10.1016/j.pmrj.2011.10.002
Beishuizen SJE, van Munster BC, de Jonghe A, Abu-Hanna A, Buurman BM, de Rooij SE (2017) Distinct cognitive trajectories in the first year after hip fracture. J Am Geriatr Soc 65(5):1034–1042. https://doi.org/10.1111/jgs.14754
Aarden JJ, van der Esch M, Engelbert RHH, van der Schaaf M, de Rooij SE, Buurman BM (2017) Hip fractures in older patients: trajectories of disability after surgery. J Nutr Health Aging 21(7):837–842. https://doi.org/10.1007/s12603-016-0830-y
Aboelmagd T, Dainty JR, MacGregor A, Smith TO (2018) Trajectory of physical activity after hip fracture: an analysis of community-dwelling individuals from the English Longitudinal Study of Ageing. Injury 49(3):697–701. https://doi.org/10.1016/j.injury.2018.02.010
Tseng MY, Shyu YIL, Liang J (2012) Functional recovery of older hip-fracture patients after interdisciplinary intervention follows three distinct trajectories. Gerontologist 52(6):833–842. https://doi.org/10.1093/geront/gns058
Smith TO, Dainty JR, MacGregor A (2017) Trajectory of social isolation following hip fracture: an analysis of the English Longitudinal Study of Ageing (ELSA) cohort. Age Ageing 47(1):107–112. https://doi.org/10.1093/ageing/afx129
Mitchell R, Draper B, Close J, Harvey L, Brodaty H, Do V, Driscoll TR, Braithwaite J (2019) Future hospital service utilisation in older adults living in long-term residential aged care or the community hospitalised with a fall-related injury. Osteopor Int 30(10):1995–2008. https://doi.org/10.1007/s00198-019-05096-2
Australian Institute of Health and Welfare (2014) Transition care for older people leaving hospital, 2005–06 to 2012–13. Canberra
Commonwealth of Australia (2012) Aged Care Funding Instrument (ACFI) User Guide. https://agedcare.health.gov.au/funding/aged-care-subsidies-and-supplements/residential-care-subsidy/basic-subsidy-amount-aged-care-funding-instrument/aged-care-funding-instrument-acfi-user-guide. Accessed 21 Aug 2019
Quan H, Li B, Couris CM, Fushimi K, Graham P, Hider P, Januel JM, Sundararajan V (2011) Updating and validating the Charlson Comorbidity Index and score for risk adjustment in hospital discharge abstracts using data from 6 countries. Am J Epidemiol 173(6):676–682. https://doi.org/10.1093/aje/kwq433
Australian Bureau of Statistics (2011) Australian Statistical Geographical Standard Remoteness Area. Australian Bureau of Statistics: Canberra
Nagin DS (1999) Analyzing developmental trajectories: a semiparametric, group-based approach. Psychol Methods 42(2):139–157. https://doi.org/10.1037/1082-989X.4.2.139
SAS Institute C (2014) North Carolina SAS Institute, SAS: statistical software, version 9.4
Jones B (2018) Traj. Group-based modeling of longitudinal data. Pittsburgh, Carnegie Mellon University
Nagin D (2005) Group-based modeling of development. Harvard University Press, Massachusetts
Tedesco D, Gibertoni D, Rucci P, Hernandez-Boussard T, Rosa S, Bianciardi L, Rolli M, Fantini MP (2018) Impact of rehabilitation on mortality and readmissions after surgery for hip fracture. BMC Health Serv Res 18(1):701. https://doi.org/10.1186/s12913-018-3523-x
Lee TC, Ho PS, Lin HT, Ho ML, Huang HT, Chang JK (2017) One-year readmission risk and mortality after hip fracture surgery: a national population-based study in Taiwan. Aging Dis 8(4):402–409. https://doi.org/10.14336/ad.2016.1228
Ali AM, Gibbons CER (2017) Predictors of 30-day hospital readmission after hip fracture: a systematic review. Injury 48(2):243–252. https://doi.org/10.1016/j.injury.2017.01.005
Hosmer D, Lemeshow S (2000) Applied logistic regression, 2nd edn. Wiley, New York
Meeyai S (2016) Logistic regression with missing data: a comparison of handling methods, and effects of percent missing values. J Traff Log Eng 4(2):128–134. https://doi.org/10.18178/jtle.4.2.128-134
Mitchell R, Fajardo Pulido D, Ryder T, Norton G, Brodaty H, Draper B, Close J, Rapport F, Lystad R, Harris I, Harvey L, Sherrington C, Cameron ID, Braithwaite J (2019) Access to rehabilitation services for older adults living with dementia or in a residential aged care facility following a hip fracture: healthcare professionals’ views. Disabil Rehabil :1-12. https://doi.org/10.1080/09638288.2019.1643418
Mitchell R, Draper B, Brodaty H, Close J, Ting HP, Lystad R, Harris I, Harvey L, Sherrington C, Cameron ID, Braithwaite J (2020) An 11-year review of hip fracture hospitalisations, health outcomes, and predictors of access to in-hospital rehabilitation for adults ≥ 65 years living with and without dementia: a population-based cohort study. Osteoporos Int 31(3):465–474. https://doi.org/10.1007/s00198-019-05260-8
Fong JH, Mitchell OS, Koh BS (2015) Disaggregating activities of daily living limitations for predicting nursing home admission. Health Serv Res 50(2):560–578. https://doi.org/10.1111/1475-6773.12235
Giusti A, Barone A, Razzano M, Pizzonia M, Oliveri M, Pioli G (2008) Predictors of hospital readmission in a cohort of 236 elderly discharged after surgical repair of hip fracture: one-year follow-up. Aging Clin Exp Res 20(3):253–259. https://doi.org/10.1007/bf03324779
Buecking B, Eschbach D, Koutras C, Kratz T, Balzer-Geldsetzer M, Dodel R, Ruchholtz S (2013) Re-admission to level 2 unit after hip-fracture surgery – risk factors, reasons and outcome. Injury 44(12):1919–1925. https://doi.org/10.1016/j.injury.2013.05.012
Martin CT, Gao Y, Pugely AJ (2016) Incidence and risk factors for 30-day readmissions after hip fracture surgery. Iowa Orthop J 36:155–160
Lizaur-Utrilla A, Serna-Berna R, Lopez-Prats FA, Gil-Guillen V (2015) Early rehospitalization after hip fracture in elderly patients: risk factors and prognosis. Arch Orthop Trauma Surg 135(12):1663–1667. https://doi.org/10.1007/s00402-015-2328-1
Härstedt M, Rogmark C, Sutton R, Melander O, Fedorowski A (2015) Impact of comorbidity on 6-month hospital readmission and mortality after hip fracture surgery. Injury 46(4):713–718. https://doi.org/10.1016/j.injury.2014.12.024
Ministry of Health ( 2013) NSW Hospital in the Home (HITH) Guideline GL2013_006. North Sydney
Testa L, Hardy JE, Jepson T, Braithwaite J, Mitchell RJ (2020) Comparison of health service use trajectories of residential aged care residents reviewed by a hospital avoidance program versus usual care. Arch Gerontol Geriatr 93:104293. https://doi.org/10.1016/j.archger.2020.104293
May P, Normand C, Cassel JB, Del Fabbro E, Fine RL, Menz R, Morrison CA, Penrod JD, Robinson C, Morrison RS (2018) Economics of palliative care for hospitalized adults with serious illness: a meta-analysis. JAMA Intern Med 178(6):820–829. https://doi.org/10.1001/jamainternmed.2018.0750
Haun MW, Estel S, Rücker G, Friederich HC, Villalobos M, Thomas M, Hartmann M (2017) Early palliative care for adults with advanced cancer. Cochrane Database Syst Rev 6(6):Cd011129. https://doi.org/10.1002/14651858.CD011129.pub2
Casarett D, Shreve S, Luhrs C, Lorenz K, Smith D, De Sousa M, Richardson D (2010) Measuring families’ perceptions of care across a health care system: preliminary experience with the Family Assessment of Treatment at End of Life Short form (FATE-S). J Pain Symptom Manag 40(6):801–809. https://doi.org/10.1016/j.jpainsymman.2010.03.019
Henderson T, Shepheard J, Sundararajan V (2006) Quality of diagnosis and procedure coding in ICD-10 administrative data. Med Care 44(11):1011–1019. https://doi.org/10.1097/01.mlr.0000228018.48783.34
Boockvar KS, Halm EA, Litke A, Silberzweig SB, McLaughlin M, Penrod JD, Magaziner J, Koval K, Strauss E, Siu AL (2003) Hospital readmissions after hospital discharge for hip fracture: surgical and nonsurgical causes and effect on outcomes. J Am Geriatr Soc 51(3):399–403. https://doi.org/10.1046/j.1532-5415.2003.51115.x
Acknowledgements
The authors wish to thank the NSW Ministry of Health for providing access to the NSW hospitalisation data, the National Aged Care Data Clearinghouse for providing access to the Residential Aged Care data, and the CHeReL for hospitalisation data extraction and the AIHW Data Linkage Unit for conducting the record linkage. The data were analysed within the Secure Unified Research Environment.
Funding
This research was part-funded by the Dementia Centre for Research Collaboration. RM was supported by a career fellowship from the NSW Ministry of Health under the NSW Health Early-Mid Career Fellowships Scheme.
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Do, V.Q., Draper, B., Harvey, L. et al. Examining trajectories of hospital readmission in older adults hospitalised with hip fracture from residential aged care and the community. Arch Osteoporos 16, 120 (2021). https://doi.org/10.1007/s11657-021-00966-x
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DOI: https://doi.org/10.1007/s11657-021-00966-x