Skip to main content

Advertisement

Log in

Time trends in hospital stay after hip fracture in Canada, 2004–2012: database study

  • Original Article
  • Published:
Archives of Osteoporosis Aims and scope Submit manuscript

Abstract

Summary

Changes in bed management and access policy aimed to shorten Canadian hip fracture hospital stay. Secular trends in hip fracture total, preoperative, and postoperative stay are unknown. Hip fracture stay shortened from 2004 to 2012, mostly from shortening postoperative stay. This may reflect changes in bed management rather than access policy.

Purpose

To compare the probability of discharge by time after patient admission to hospital with first-time hip fracture over a period of nine calendar years.

Methods

We retrieved acute hospitalization records for 169,595 patients 65 years and older, who were admitted to an acute care hospital with hip fracture between 2004 and 2012 in Canada (outside of Quebec). The main outcome measure was cumulative incidence of discharge by inpatient day, accounting for competing events that end hospital stay.

Results

The probability of surgical discharge within 30 days of admission increased from 57.2 % in 2004 to 67.3 % in 2012. The probability of undergoing surgery on day of admission or day after fluctuated around 58.5 % over the study period. For postoperative stay, the discharge probability increased from 6.8 to 12.2 % at day 4 after surgery and from 57.2 to 66.6 % at day 21 after surgery, between 2004 and 2012. The differences across years persisted after adjustment for characteristics of patients, fracture, comorbidity, treatment, type and timing of surgery, and access to care.

Conclusions

Hospital stay following hip fracture shortened substantially between 2004 and 2012 in Canada, mostly due to shortening of postoperative stays. Shorter hospital stays may reflect changes in bed management protocols rather than in access policy.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Sutherland JM, Crump RT (2013) Alternative level of care: Canada’s hospital beds, the evidence and options. Healthc Policy 9:26–34

    PubMed  PubMed Central  Google Scholar 

  2. Barrett B, Way C, McDonald J, Parfrey P (2005) Hospital utilization, efficiency and access to care during and shortly after restructuring acute care in Newfoundland and Labrador. J Health Serv Res Policy 10(Suppl 2):S2–S7

    Article  Google Scholar 

  3. Evans B, Potvin C, Johnson G, Henderson N, Yuen I, Smith T, Metham S, Taylor S, Sniekers D (2011) Enhancing patient flow in an acute care hospital: successful strategies at the Juravinski Hospital. Healthc Q 14:66–74

    Article  PubMed  Google Scholar 

  4. Barrett J, Doyle W, Higgins D (2008) Corporate patient flow: “changing a culture through strategic planning and Accreditation Canada”. http://www.healthcarecan.ca/wp-content/uploads/2014/07/Changing-a-culture-though-strategic-planning-and-Accreditation-Canad.pdf Accessed 24 July 2015

  5. Waddell J, McMullan J, Lo N, OConnor M, Sheppard L, Mensour M, Palda V, McGlasson R (2010) Improving time to surgery—emergency room, preoperative and immediate postoperative clinical practice guidelines for the management of hip fracture patients. Bone & Joint Health Network. http://boneandjointcanada.com/wp-content/uploads/2014/05/ER-Pre-op-Clinical-Practice-Guidelines-20101101_Final.pdf Accessed 24 July 2015

  6. Ontario Ministry of Health and Long-Term Care (2005) First ever common benchmarks will allow canadians to measure progress in reducing wait times. www.health.gov.on.ca/english/media/news_releases/archives/nr_05/nr_121205.html Accessed 24 July 2015

  7. Orosz GM, Magaziner J, Hannan EL, Morrison RS, Koval K, Gilbert M, McLaughlin M, Halm EA, Wang JJ, Litke A, Silberzweig SB, Siu AL (2004) Association of timing of surgery for hip fracture and patient outcomes. JAMA 291:1738–1743

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Mariconda M, Costa GG, Cerbasi S, Recano P, Aitanti E, Gambacorta M, Misasi M (2015) The determinants of mortality and morbidity during the year following fracture of the hip: a prospective study. Bone Joint J 97-B:383–390

    Article  CAS  PubMed  Google Scholar 

  9. Simunovic N, Devereaux PJ, Sprague S, Guyatt GH, Schemitsch E, DeBeer J, Bhandari M (2010) Effect of early surgery after hip fracture on mortality and complications: systematic review and meta-analysis. CMAJ 182:1609–1616

    Article  PubMed  PubMed Central  Google Scholar 

  10. Ho V, Hamilton BH, Roos LL (2000) Multiple approaches to assessing the effects of delays for hip fracture patients in the United States and Canada. Health Serv Res 34:1499–1518

    CAS  PubMed  PubMed Central  Google Scholar 

  11. Lefaivre KA, Macadam SA, Davidson DJ, Gandhi R, Chan H, Broekhuyse HM (2009) Length of stay, mortality, morbidity and delay to surgery in hip fractures. J Bone Joint Surg (Br) 91:922–927

    Article  CAS  Google Scholar 

  12. Canadian Institute for Health Information (2007) Health Indicators 2007. CIHI, Ottawa

    Google Scholar 

  13. Canadian Institute for Health Information (2011) Data quality documentation for external users: Discharge Abstract Database, 2010–2011. CIHI, Ottawa

    Google Scholar 

  14. Ahmed I, Khan MA, Nayak V, Mohsen A (2014) An evidence-based warfarin management protocol reduces surgical delay in hip fracture patients. J Orthop Traumatol 15:21–27

    Article  CAS  PubMed  Google Scholar 

  15. Lee DJ, Elfar JC (2014) Timing of hip fracture surgery in the elderly. Geriatr Orthop Surg Rehabil 5:138–140

    Article  PubMed  PubMed Central  Google Scholar 

  16. Fransoo R, Yogendran M, Olafson K, Ramsey C, McGowan KL, Garland A (2012) Constructing episodes of inpatient care: data infrastructure for population-based research. BMC Med Res Methodol 12:133

    Article  PubMed  PubMed Central  Google Scholar 

  17. Kaboli PJ, Go JT, Hockenberry J, Glasgow JM, Johnson SR, Rosenthal GE, Jones MP, Vaughan-Sarrazin M (2012) Associations between reduced hospital length of stay and 30-day readmission rate and mortality: 14-year experience in 129 Veterans Affairs hospitals. Ann Intern Med 157:837–845

    Article  PubMed  Google Scholar 

  18. Vidan MT, Sanchez E, Gracia Y, Maranon E, Vaquero J, Serra JA (2011) Causes and effects of surgical delay in patients with hip fracture: a cohort study. Ann Intern Med 155:226–233

    Article  PubMed  Google Scholar 

  19. Pintilie M (2006) Competing risks, a practical perspective. John Wiley & Sons

  20. Klein JP, Andersen PK (2005) Regression modeling of competing risks data based on pseudovalues of the cumulative incidence function. Biometrics 61:223–229

    Article  PubMed  Google Scholar 

  21. Bland JM, Altman DG (1998) Survival probabilities (the Kaplan-Meier method). BMJ 317:572

    Google Scholar 

  22. Gray B (2014) cmprsk: Subdistribution analysis of competing risks. http://CRAN.R-project.org/package=cmprsk Accessed 24 July 2015

  23. Gerds T (2014) prodlim: Product-limit estimation for censored event history analysis. http://CRAN.R-project.org/package=prodlim Accessed 24 July 2015

  24. Hojsgaard S, Halekoh U, Yan J (2006) The R package geepack for generalized estimating equations. J Stat Softw 15:1–11

    Google Scholar 

  25. R core team (2015) R: a language and environment for statistical computing

  26. Nikkel LE, Fox EJ, Black KP, Davis C, Andersen L, Hollenbeak CS (2012) Impact of comorbidities on hospitalization costs following hip fracture. J Bone Joint Surg Am 94:9–17

    Article  PubMed  Google Scholar 

  27. Auais M, Morin S, Nadeau L, Finch L, Mayo N (2013) Changes in frailty-related characteristics of the hip fracture population and their implications for healthcare services: evidence from Quebec, Canada. Osteoporos Int 24(10):2713–2724

    Article  CAS  PubMed  Google Scholar 

  28. Ban I, Palm H, Birkelund L, Eschen J, Kring S, Brix M, Troelsen A (2014) Implementing, adapting, and validating an evidence-based algorithm for hip fracture surgery. J Orthop Trauma 28:e21–e26

    Article  PubMed  Google Scholar 

  29. Moran CG, Wenn RT, Sikand M, Taylor AM (2005) Early mortality after hip fracture: is delay before surgery important? J Bone Joint Surg Am 87:483–489

    Article  PubMed  Google Scholar 

  30. Ricci WM, Brandt A, McAndrew C, Gardner MJ (2015) Factors affecting delay to surgery and length of stay for patients with hip fracture. J Orthop Trauma 29:e109–e114

    Article  PubMed  PubMed Central  Google Scholar 

  31. Orosz GM, Hannan EL, Magaziner J, Koval K, Gilbert M, Aufses A, Straus E, Vespe E, Siu AL (2002) Hip fracture in the older patient: reasons for delay in hospitalization and timing of surgical repair. J Am Geriatr Soc 50:1336–1340

    Article  PubMed  Google Scholar 

  32. Tracey J, Forte T, Fagbemi J, Chaudhary Z (2007) Wait time for hip fracture surgery in Canada. Healthc Q 10:24–27

    Article  PubMed  Google Scholar 

  33. Motohashi T, Hamada H, Lee J, Sekimoto M, Imanaka Y (2013) Factors associated with prolonged length of hospital stay of elderly patients in acute care hospitals in Japan: a multilevel analysis of patients with femoral neck fracture. Health Policy 111:60–67

    Article  PubMed  Google Scholar 

  34. Canadian Institute for Health Information (2005) Inpatient hospitalizations and average length od stay trends in Canada, 2003–2004 and 2004–2005. CIHI, Ottawa

    Google Scholar 

  35. Canadian Institute for Health Information (2005) Hospital trends in Canada—results of a project to create a historical series of statistical and financial data for Canadian hospitals over twenty-seven years. CIHI, Ottawa

    Google Scholar 

  36. Kralj B, Kantarevic J (2012) Primary care model enrolment and hospital length of stay in Ontario: patient rostering associated with reduced length of stay, significant health system savings. Ontario Medical Review. 16–19

  37. OECD (2011) Average length of stay in hospitals. In: Health at a Glance 2011: OECD Indicators. OECD Publishing

  38. Neuburger J, Harding KA, Bradley RJ, Cromwell DA, Gregson CL (2014) Variation in access to community rehabilitation services and length of stay in hospital following a hip fracture: a cross-sectional study. BMJ Open 4:e005469

    Article  PubMed  PubMed Central  Google Scholar 

  39. Nordstrom P, Gustafson Y, Michaelsson K, Nordstrom A (2015) Length of hospital stay after hip fracture and short term risk of death after discharge: a total cohort study in Sweden. BMJ 350:h696

    Article  PubMed  PubMed Central  Google Scholar 

  40. Williams N, Hardy BM, Tarrant S, Enninghorst N, Attia J, Oldmeadow C, Balogh ZJ (2013) Changes in hip fracture incidence, mortality and length of stay over the last decade in an Australian major trauma centre. Arch Osteoporos 8(1–2):150

    Article  PubMed  Google Scholar 

  41. Holvik K, Ranhoff AH, Martinsen MI, Solheim LF (2010) Predictors of mortality in older hip fracture inpatients admitted to an orthogeriatric unit in Oslo, Norway. J Aging Health 22:1114–1131

    Article  PubMed  Google Scholar 

  42. Miani C, Ball S, Pitchforth E, Exley J, King S, Roland M, Fuld J, Nolte E (2014) Organisational interventions to reduce length of stay in hospital: a rapid evidence assessment. health services and delivery research

  43. Neuburger J, Currie C, Wakeman R, Tsang C, Plant F, De SB, Cromwell DA, van der Meulen J (2015) The impact of a national clinician-led audit initiative on care and mortality after hip fracture in England: an external evaluation using time trends in non-audit data. Med Care 53:686–691

    Article  PubMed  PubMed Central  Google Scholar 

  44. Boddaert J, Cohen-Bittan J, Khiami F, Le MY, Raux M, Beinis JY, Verny M, Riou B (2014) Postoperative admission to a dedicated geriatric unit decreases mortality in elderly patients with hip fracture. PLoS One 9(1):e83795

    Article  PubMed  PubMed Central  Google Scholar 

  45. Suhm N, Kaelin R, Studer P, Wang Q, Kressig RW, Rikli D, Jakob M, Pretto M (2014) Orthogeriatric care pathway: a prospective survey of impact on length of stay, mortality and institutionalisation. Arch Orthop Trauma Surg 134:1261–1269

    Article  CAS  PubMed  Google Scholar 

  46. Leslie WD, O’Donnell S, Jean S, Lagace C, Walsh P, Bancej C, Morin S, Hanley DA, Papaioannou A (2009) Trends in hip fracture rates in Canada. JAMA 302:883–889

    Article  CAS  PubMed  Google Scholar 

  47. Ko FC, Morrison RS (2014) Hip fracture: a trigger for palliative care in vulnerable older adults. JAMA Intern Med 174:1281–1282

    Article  PubMed  Google Scholar 

  48. Meier DE (2011) Increased access to palliative care and hospice services: opportunities to improve value in health care. Milbank Q 89:343–380

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgments

We gratefully acknowledge the guidance from the CIHI experts in understanding the discharge abstracts.

Author information

Authors and Affiliations

Authors

Consortia

Corresponding author

Correspondence to Boris Sobolev.

Ethics declarations

Funding source

This research was funded by the Canadian Institute for Health Research. This funder had no role in the design of this study, execution, analyses, data interpretation, or decision to submit results for publication.

Conflicts of interest

The following competing interests are declared: (1) PG has received grants from the Canadian Institutes of Health Research related to this work. PG also receives funding from the Natural Sciences and Engineering Research Council of Canada, the Canadian Foundation for Innovation, and the British Columbia Specialists Services Committee for work around hip fracture care not related to this manuscript. He has also received fees from the BC Specialists Services Committee (for a provincial quality improvement project on redesign of hip fracture care) and from Stryker Orthopedics (as a product development consultant). He is a board member and shareholder in Traumis Surgical Systems Inc. and a board member for the Canadian Orthopedic Foundation. He also serves on the speakers’ bureaus of AO Trauma North America and Stryker Canada. (2) SNM reports grants from Amgen Canada, grants from Merck, personal fees from Amgen Canada, and personal fees from Eli Lilly outside the submitted work. (3) KS is a postdoctoral fellow whose salary is paid by Canadian Institutes of Health Research funding related to this work. (4) BS, LK, EB, LB, JMS, MD, DG, EH declare that they have no conflicts of interest.

Additional information

The following are members of the Canadian Collaborative Study on Hip Fractures: Eric Bohm, Lauren Beaupre, Michael Dunbar, Donald Griesdale, Pierre Guy, Edward Harvey, Erik Hellsten, Susan Jaglal, Hans Kreder, Lisa Kuramoto, Adrian Levy, Suzanne N. Morin, Katie Jane Sheehan, Boris Sobolev, Jason M. Sutherland, and James Waddell.

Boris Sobolev and Pierre Guy contributed equally to this work.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Additional File 1

(DOC 30 kb)

Additional File 2

(DOC 189 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sobolev, B., Guy, P., Sheehan, K.J. et al. Time trends in hospital stay after hip fracture in Canada, 2004–2012: database study. Arch Osteoporos 11, 13 (2016). https://doi.org/10.1007/s11657-016-0264-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11657-016-0264-5

Keywords

Navigation