Hospital differences in mortality rates after hip fracture surgery in Denmark

References

• Krumholz HM, Lin Z, Keenan PS, et al. Relationship between hospital readmission and mortality rates for patients hospitalized with acute myocardial infarction, heart failure, or pneumonia. JAMA. 2013;309(6):587–593. doi:10.1001/jama.2013.33323403683
   PubMed Web of Science ®Google Scholar
• Faber M, Bosch M, Wollersheim H, Leatherman S, Grol R. Public reporting in health care: how do consumers use quality-of-care information? A systematic review. Med Care. 2009;47(1):1–8. doi:10.1097/MLR.0b013e3181808bb519106724
   PubMed Web of Science ®Google Scholar
• Lilford RJ, Brown CA, Nicholl J. Use of process measures to monitor the quality of clinical practice. BMJ (Clinical Research Ed). 2007;335(7621):648–650. doi:10.1136/bmj.39317.641296.AD
   PubMed Web of Science ®Google Scholar
• Dimick JB, Staiger DO, Birkmeyer JD. Ranking hospitals on surgical mortality: the importance of reliability adjustment. Health Serv Res. 2010;45(6 Pt 1):1614–1629. doi:10.1111/j.1475-6773.2010.01158.x20722747
   PubMed Web of Science ®Google Scholar
• Dimick JB, Ghaferi AA, Osborne NH, Ko CY, Hall BL. Reliability adjustment for reporting hospital outcomes with surgery. Ann Surg. 2012;255(4):703–707. doi:10.1097/SLA.0b013e31824b46ff22388108
   PubMed Web of Science ®Google Scholar
• Krell RW, Hozain A, Kao LS, Dimick JB. Reliability of risk-adjusted outcomes for profiling hospital surgical quality. JAMA Surg. 2014;149(5):467–474. doi:10.1001/jamasurg.2013.424924623045
   PubMed Web of Science ®Google Scholar
• Adab P, Rouse AM, Mohammed MA, Marshall T. Performance league tables: the NHS deserves better. BMJ. 2002;324(7329):95–98. doi:10.1136/bmj.324.7329.9511786455
   PubMed Web of Science ®Google Scholar
• Henneman D, van Bommel AC, Snijders A, et al. Ranking and rankability of hospital postoperative mortality rates in colorectal cancer surgery. Ann Surg. 2014;259(5):844–849. doi:10.1097/SLA.000000000000056124717374
   PubMed Web of Science ®Google Scholar
• Hashmi ZG, Dimick JB, Efron DT, et al. Reliability adjustment. J Trauma Acute Care Surg. 2013;75(1):166–172.23940864
   PubMed Web of Science ®Google Scholar
• van Dishoeck AM, Lingsma HF, Mackenbach JP, Steyerberg EW. Random variation and rankability of hospitals using outcome indicators. BMJ Qual Saf. 2011;20(10):869–874. doi:10.1136/bmjqs.2010.048058
   Web of Science ®Google Scholar
• Merlo J, Wagner P, Ghith N, Leckie G. An original stepwise multilevel logistic regression analysis of discriminatory accuracy: the case of neighbourhoods and health. PLoS One. 2016;11(4):e0153778. doi:10.1371/journal.pone.015377827120054
   PubMed Web of Science ®Google Scholar
• Ash AS, Fienberg SF, Louis TA, Normand S-LT, Stukel TA, Utts J. Statistical Issues in Assessing Hospital Performance. Quantitative Health Sciences Publications and Presentations; 2012.
   Google Scholar
• Ghith N, Wagner P, Frolich A, Merlo J. Short term survival after admission for heart failure in Sweden: applying multilevel analyses of discriminatory accuracy to evaluate institutional performance. PLoS One. 2016;11(2):e0148187. doi:10.1371/journal.pone.014818726840122
   PubMed Web of Science ®Google Scholar
• Merlo J, Wagner P, Austin PC, Subramanian SV, Leckie G. General and specific contextual effects in multilevel regression analyses and their paradoxical relationship: a conceptual tutorial. SSM Popul Health. 2018;5:33–37. doi:10.1016/j.ssmph.2018.05.00629892693
   PubMed Web of Science ®Google Scholar
• Ohlsson H, Librero J, Sundquist J, Sundquist K, Merlo J. Performance evaluations and league tables: do they capture variation between organizational units? An analysis of 5 Swedish pharmacological performance indicators. Med Care. 2011;49(3):327–331. doi:10.1097/MLR.0b013e31820325c521263360
   PubMed Web of Science ®Google Scholar
• Qureshi A, Gwyn Seymour D. Growing knowledge about hip fracture in older people. Age Ageing. 2003;32(1):8–9. doi:10.1093/ageing/32.1.812540341
   PubMed Web of Science ®Google Scholar
• Denmark S. Statistikbanken. 2018; Available from: http://www.statistikbanken.dk/statbank5a/default.asp?w=2327. Accessed 501, 2018.
   Google Scholar
• Schmidt M, Pedersen L, Sorensen HT. The Danish civil registration system as a tool in epidemiology. Eur J Epidemiol. 2014;29(8):541–549. doi:10.1007/s10654-014-9930-324965263
   PubMed Web of Science ®Google Scholar
• Mainz J, Krog BR, Bjornshave B, Bartels P. Nationwide continuous quality improvement using clinical indicators: the Danish national indicator project. Int J Qual Health Care. 2004;16(Suppl 1):i45–i50. doi:10.1093/intqhc/mzh03115059986
   PubMed Web of Science ®Google Scholar
• Committee NM-S. NOMESCO Classification of Surgical Procedures. Copenhagen: WHO Collaborating Centre for the Family of International Classifications in the Nordic Countries Norwegian Directorate of Health; 2011.
   Google Scholar
• Baadsgaard M, Quitzau J. Danish registers on personal income and transfer payments. Scand J Public Health. 2011;39(7 Suppl):103–105. doi:10.1177/140349481140509821775365
   PubMed Web of Science ®Google Scholar
• Norredam M, Kastrup M, Helweg-Larsen K. Register-based studies on migration, ethnicity, and health. Scand J Public Health. 2011;39(7 Suppl):201–205. doi:10.1177/140349481039656121775384
   PubMed Web of Science ®Google Scholar
• Hu F, Jiang C, Shen J, Tang P, Wang Y. Preoperative predictors for mortality following hip fracture surgery: a systematic review and meta-analysis. Injury. 2012;43(6):676–685. doi:10.1016/j.injury.2011.05.01721683355
   PubMed Web of Science ®Google Scholar
• Schousboe JT, Paudel ML, Taylor BC, et al. Pre-fracture individual characteristics associated with high total health care costs after hip fracture. Osteoporos Int. 2011
   Google Scholar
• Kristensen PK, Thillemann TM, Pedersen AB, Soballe K, Johnsen SP. Socioeconomic inequality in clinical outcome among hip fracture patients: a nationwide cohort study. Osteoporos Int. 2017;28(4):1233–1243. doi:10.1007/s00198-016-3853-727909785
   PubMed Web of Science ®Google Scholar
• Andersen TF, Madsen M, Jorgensen J, Mellemkjoer L, Olsen JH. The Danish national hospital register. A valuable source of data for modern health sciences. Dan Med Bull. 1999;46(3):263–268.10421985
   PubMed Web of Science ®Google Scholar
• Pepe MS, Janes H, Longton G, Leisenring W, Newcomb P. Limitations of the odds ratio in gauging the performance of a diagnostic, prognostic, or screening marker. Am J Epidemiol. 2004;159(9):882–890. doi:10.1093/aje/kwh10115105181
   PubMed Web of Science ®Google Scholar
• Larsen K, Petersen JH, Budtz-Jorgensen E, Endahl L. Interpreting parameters in the logistic regression model with random effects. Biometrics. 2000;56(3):909–914.10985236
   PubMed Web of Science ®Google Scholar
• Larsen K, Merlo J. Appropriate assessment of neighborhood effects on individual health: integrating random and fixed effects in multilevel logistic regression. Am J Epidemiol. 2005;161(1):81–88. doi:10.1093/aje/kwi01715615918
   PubMed Web of Science ®Google Scholar
• Merlo J, Chaix B, Ohlsson H, et al. A brief conceptual tutorial of multilevel analysis in social epidemiology: using measures of clustering in multilevel logistic regression to investigate contextual phenomena. J Epidemiol Community Health. 2006;60(4):290–297. doi:10.1136/jech.2004.02945416537344
   PubMed Web of Science ®Google Scholar
• Goldstein H, Browne W, Rasbash J. Partitioning variation in multilevel models. Understanding Stat. 2002;1(4):223–231. doi:10.1207/S15328031US0104_02
   Google Scholar
• StataCorp. Stata Statistical Software: Release 14. College Station. Texas: StataCorp LP; 2014.
   Google Scholar
• Mattisson L, Bojan A, Enocson A. Epidemiology, Treatment and Mortality of Trochanteric and Subtrochanteric Hip Fractures: Data from the Swedish Fracture Register. BMC Musculoskelet Disord 2018;19(1):369. doi:10.1186/s12891-018-2276-3
   Google Scholar
• Sayers A, Whitehouse MR, Berstock JR, Harding KA, Kelly MB, Chesser TJ. The Association between the Day of the Week of Milestones in the Care Pathway of Patients with Hip Fracture and 30-Day Mortality: Findings from a Prospective National Registry - the National Hip Fracture Database of England and Wales. BMC Med. 2017;15(1):62. doi:10.1186/s12916-017-0825-5
   Google Scholar
• Regionernes Kliniske Kvalitets Program. De kliniske kvalitetsdatabaser. 2015; Available from: http://www.rkkp.dk/. Accessed 110, 2019.
   Google Scholar
• Patel NK, Sarraf KM, Joseph S, Lee C, Middleton FR. implementing the national hip fracture database: an audit of care. Injury. 2013;44(12):1934–1939. doi:10.1016/j.injury.2013.04.01223680283
   PubMed Web of Science ®Google Scholar
• Hawkes D, Baxter J, Bailey C, et al. Improving the care of patients with a hip fracture: a quality improvement report. BMJ Qual Saf. 2015;24(8):532–538. doi:10.1136/bmjqs-2014-003700
   Web of Science ®Google Scholar
• Kristensen PK, Thillemann TM, Soballe K, Johnsen SP. Are process performance measures associated with clinical outcomes among patients with hip fractures? A population-based cohort study. Int J Qual Health Care. 2016;28(6):698–708. doi:10.1093/intqhc/mzw09327591269
   PubMed Web of Science ®Google Scholar
• Nielsen KA, Jensen NC, Jensen CM, et al. Quality of care and 30 day mortality among patients with hip fractures: a nationwide cohort study. BMC Health Serv Res. 2009;9:186–6963-6969–6186. doi:10.1186/1472-6963-9-186
   Web of Science ®Google Scholar
• Kristensen PK, Sogaard R, Thillemann TM, Soballe K, Johnsen SP. High Quality of Care Did Not Imply Increased Hospital Spending- Nationwide Cohort Study among Hip Fracture Patients. Int J Qual Health Care. Epub 2018 Dec 21.
   Google Scholar
• Merlo J, Chaix B, Yang M, Lynch J, Rastam L. A brief conceptual tutorial on multilevel analysis in social epidemiology: interpreting neighbourhood differences and the effect of neighbourhood characteristics on individual health. J Epidemiol Community Health. 2005;59(12):1022–1028. doi:10.1136/jech.2004.02803516286487
   PubMed Web of Science ®Google Scholar