How dangerous is a day in hospital?: A model of adverse events and length of stay for medical inpatients

Medical Care

Volumn 49, Issue 12, 2011, Pages 1068-1075

  Hauck, Katharina ^a   Zhao, Xueyan ^b  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b MONASH UNIVERSITY   (Australia)

Author keywords

adverse drug reactions; complications of care; hospital quality; infections; medical errors; ulcers

Indexed keywords

DRUG;

ADULT; ADVERSE OUTCOME; AGED; ARTICLE; AUSTRALIA; COST BENEFIT ANALYSIS; FEMALE; HOSPITALIZATION; HUMAN; INFECTION; LENGTH OF STAY; MAJOR CLINICAL STUDY; MALE; MEDICAL ERROR; MODEL; PRIORITY JOURNAL; RISK ASSESSMENT; RISK FACTOR; ULCER; UNSPECIFIED SIDE EFFECT;

CROSS INFECTION; DRUG TOXICITY; HEALTH SERVICES RESEARCH; HOSPITAL ADMINISTRATION; HUMANS; LENGTH OF STAY; PATIENT DISCHARGE; PATIENT SAFETY; PRESSURE ULCER; QUALITY OF HEALTH CARE; RISK FACTORS;

EID: 81355146729     PISSN: 00257079     EISSN: 15371948     Source Type: Journal    
DOI: 10.1097/MLR.0b013e31822efb09     Document Type: Article

References (51)

1. Kohn LT, Corrigan J, Donaldson MS. To Err is Human: Building a Safer Health System. National Academies Press; 2000.
2. de Vries EN, Ramrattan MA, Smorenburg SM, et al. The incidence and nature of in-hospital adverse events: a systematic review. Qual Saf Health Care. 2008;17:216-223.
3. Michel P, Quenon JL, de Sarasqueta AM, et al. Comparison of three methods for estimating rates of adverse events and rates of preventable adverse events in acute care hospitals. BMJ. 2004;328:199.
4. Walshe K. The Reliability and Validity of Adverse-event Measures of the Quality of Healthcare. Faculty of Commerce and Social Science: University of Birmingham; 1998.
5. Localio AR, Weaver SL, Landis JR, et al. Identifying adverse events caused by medical care: degree of physician agreement in a retrospective chart review. Ann Int Med. 1996;125:457-464. (Pubitemid 126690037)
6. Lazarou J, Pomeranz BH, Corey PN. Incidence of adverse drug reactions in hospitalized patients: a meta-analysis of prospective studies. J Am Med Assoc. 1998;279:1200-1205. (Pubitemid 28193431)
7. Aranaz-Andres JM, Aibar-Remon C, Vitaller-Murillo J, et al. Incidence of adverse events related to health care in Spain: results of the Spanish National Study of Adverse Events. J Epidemiol Commun Health. 2008;62:1022-1029.
8. Unruh L. Licensed nurse staffing and adverse events in hospitals. Med Care. 2003;41:142-152.
9. Neale G, Woloshynowych M. Retrospective case record review: a blunt instrument that needs sharpening. Qual Saf Health Care. 2003;12:2-3. (Pubitemid 36241244)
10. van den Bemt PMLA, Egberts ACG, Lenderink AW, et al. Risk factors for the development of adverse drug events in hospitalized patients. Pharm World Sci. 2000;22:62-66. (Pubitemid 30306123)
11. Weingart SN, Wilson RM, Gibberd RW, et al. Epidemiology of medical error. BMJ. 2000;320:774-777. (Pubitemid 30179431)
12. Bates DW, Miller EB, Cullen DJ, et al. Patient risk factors for adverse drug events in hospitalized patients. Arch Intern Med. 1999;159: 2553-2560.
13. Andrews LB, Stocking C, Krizek T, et al. An alternative strategy for studying adverse events in medical care. Lancet. 1997;349:309-313. (Pubitemid 27056822)
14. Leff B. Defining and disseminating the hospital-at-home model. Can Med Assoc J. 2009;180:156-157.
15. Leff B, Burton L, Mader SL, et al. Hospital at home: feasibility and outcomes of a program to provide hospital-level care at home for acutely ill older patients. Ann Intern Med. 2005;143:798-808.
16. Shepperd S, Doll H, Angus RM, et al. Avoiding hospital admission through provision of hospital care at home: a systematic review and meta-analysis of individual patient data. Can Med Assoc J. 2009; 180:175-182.
17. Graham DR, Keldermans MM, Klemm LW, et al. Infectious complications among patients receiving home intravenous therapy with peripheral, central, or peripherally placed central venous catheters. Am J Med. 1991;91:S95-S100.
18. Fine MJ, Medsger AR, Stone RA, et al. The hospital discharge decision for patients with community-acquired pneumonia: results from the pneumonia patient outcomes Research Team Cohort Study. Arch Intern Med. 1997;157:47-56. (Pubitemid 27027074)
19. Howard WT, Evans KK, Quintero-Howard CV, et al. Predictors of success or failure of transition to day hospital treatment for inpatients with anorexia nervosa. Am J Psychiatry. 1999;156:1697-1702. (Pubitemid 29517560)
20. Roodman D. Estimating fully observed recursive mixed-process models with cmp. Working Papers: Center for Global Development; 2009.
21. Tukey JW. Exploratory data analysis. Reading, MA: Addison-Wesley Pub. Co.; 1977.
22. Jackson T, Duckett S, Shepheard J, et al. Measurement of adverse events using 'incidence flagged' diagnosis codes. J Health Serv Res Policy. 2006;11:21-26. (Pubitemid 43117109)
23. Quan H, Drosler SE, Sundararajan V, et al. Adaptation of AHRQ patient safety indicators for use in ICD-10 administrative data by an international consortium. In: Henriksen K, Battles JB, Keyes MA, et al. eds. Advances in Patient Safety: New Directions and Alternative Approaches (Vol. 1: Assessment). Agency for Healthcare Research and Quality; Rockville: MD, 2008.
24. Ehsani JP, Jackson T, Duckett SJ. The incidence and cost of adverse events in Victorian hospitals 2003-04. Med J Aust. 2006;184: 551-555. (Pubitemid 43950023)
25. Charlson ME, Pompei P, Ales KL, et al. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40:373-383. (Pubitemid 17055592)
26. Health Data Standard and Systems Unit/Victorian Department of Human Services. Victorian additions to the Australian coding standards. Melbourne (Victoria), Australia: Victorian Department of Human Services, 2005.
27. Ho V, Hamilton BH, Roos LL. Multiple approaches to assessing the effects of delays for hip fracture patients in the United States and Canada. Health Serv Res. 2000;34:1499-1518.
28. Brookhart MA, Rassen JA, Schneeweiss S. Instrumental variable methods in comparative safety and effectiveness research. Pharmaco-epidemiol Drug Saf. 2010;19:537-554.
29. Schmidt W, Taeger D, Buecker-Nott HJ, et al. The impact of the day of the week and month of admission on the length of hospital stay in stroke patients. Cerebrovasc Dis. 2003;16:247-252. (Pubitemid 36928616)
30. Fonarow GC, Abraham WT, Albert NM, et al. Day of admission and clinical outcomes for patients hospitalized for heart failure: findings from the organized program to initiate lifesaving treatment in hospitalized patients with heart failure. Circulation Heart Fail. 2008;50-57.
31. Wong H, Wu RC, Tomlinson G, et al. How much do operational processes affect hospital inpatient discharge rates? J Public Health. 2009;31:546-553.
32. Baker LC, Phibbs CS, Guarino C, et al. Within-year variation in hospital utilization and its implications for hospital costs. J Health Econ. 2004;23:191-211. (Pubitemid 38199908)
33. Stoskopf C, Horn SD. Predicting length of stay for patients with psychosis. Health Serv Res. 1992;26:743-766.
34. Gogel HK, Liron M, Laks MP, et al. Mortality among patients admitted to hospitals on weekends as compared with weekdays. N Engl J Med. 2002;346:1500-1501. (Pubitemid 34755724)
35. Bell CM, Redelmeier DA. Mortality among patients admitted to hospitals on weekends as compared with weekdays. N Engl J Med. 2001;345:663-668.
36. Cram P, Hillis SL, Barnett M, et al. Effects of weekend admission and hospital teaching status on in-hospital mortality. Am J Med. 2004;117:151-157. (Pubitemid 39055865)
37. Arias Y, Taylor DH, Marcin J. Association between evening admissions and higher mortality rates in the pediatric intensive care unit. Pediatrics. 2004;113:530-534.
38. Schwierz C, Augurzky B, Wasem J, Does the Quality of Hospital Treatment Vary by Days of the Week? Ruhr Economic Papers: Rheinisch-Westfaelisches Institut fuer Wirtschaftsforschung, Ruhr-Universitaet Bochum, Universitaet Dortmund; 2009.
39. Becker DJ. Do hospitals provide lower quality care on weekends? Health Serv Res. 2007;42:1589-1612. (Pubitemid 47024842)
40. Dobkin C. Hospital Staffing and Inpatient Mortality, Working Paper. Santa Cruz: University of California; 2003.
41. Englesbe MJ, Pelletier SJ, Magee JC, et al. Seasonal variation in surgical outcomes as measured by the American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP). Ann Surg. 2007;246:456-465.
42. Haller G, Myles PS, Taffe P, et al. Rate of undesirable events at beginning of academic year: retrospective cohort study. BMJ. 2009;339. forthcoming.
43. Barry WA, Rosenthal GE. Is there a July Phenomenon? The effect of July admission on intensive care mortality and length of stay in teaching hospitals. Jo Gen Intern Med. 2003;18.
44. Finkielman JD, Morales IJ, Peters SG, et al. Mortality rate and length of stay of patients admitted to the intensive care unit in July. Crit Care Med. 2004;32:1161-1165. (Pubitemid 38620985)
45. Rivers D, Vuong QH. Limited information estimators and exogeneity tests for simultaneous probit models. J Econometr. 1988;39:347.
46. Newey W. Efficient estimation of limited dependent variable models with endogenous explanatory variables. J Econometr. 1987;36:231-250.
47. Amemiya T. The estimation of a simultaneous equation generalized probit model. Econometrica. 1978;46:1193-1205.
48. Lee L. Amemiya's generalized least squares and tests of overidentifica-tion in simultaneous equation models with qualitative or limited dependent variables. Econometr Rev. 1992;11:319-328.
49. Staiger D, Stock J. Instrumental variable regression with weak instruments. Econometrica. 1997;65:557-586. (Pubitemid 127466159)
50. Barnett AG, Batra R, Graves N, et al. Using a longitudinal model to estimate the effect of methicillin-resistant staphylococcus aureus infection on length of stay in an intensive care unit. Am J Epidemiol. 2009;170:1186-1194.
51. Samore MH, Shen S, Greene T, et al. A simulation-based evaluation of methods to estimate the impact of adverse event on hospital length of stay. Med Care. 2007;45:S108-S115.