Design-related bias in hospital fall risk screening tool predictive accuracy evaluations: Systematic review and meta-analysis

Journals of Gerontology - Series A Biological Sciences and Medical Sciences

Volumn 62, Issue 6, 2007, Pages 664-672

  Haines, Terry P ^a,e   Hill, Keith ^b   Walsh, Willeke ^c   Osborne, Richard ^d  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b UNIVERSITY OF MELBOURNE   (Australia)

^c Western General Hospital   (Australia)

^d ROYAL MELBOURNE HOSPITAL   (Australia)

^e PRINCESS ALEXANDRA HOSPITAL   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ACCIDENT PREVENTION; CLINICAL DECISION MAKING; FALLING; HOSPITAL; HUMAN; MORSE FALLS SCALE; NON INVASIVE MEASUREMENT; NURSING STAFF; PRIORITY JOURNAL; REVIEW; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY; SYSTEMATIC REVIEW;

EID: 34548133176     PISSN: 10795006     EISSN: None     Source Type: Journal    
DOI: 10.1093/gerona/62.6.664     Document Type: Review

References (70)

1. Gaebler S. Predicting which patient will fall again . . . and again. J Adv Nurs. 1993;18:1895-1902.
2. Rawsky E. Review of the literature on falls among the elderly. Image J Nurs Sch. 1998;30:47-52.
3. Tideiksaar R, Feiner C, Maby J. Falls prevention: the efficacy of a bed alarm system in an acute care setting. Mt Sinai J Med. 1993;60:522-527.
4. Boswell D, Ramsey J, Smith M, Wagers B. The cost-effectiveness of a patient-sitter program in an acute care hospital: a test of the impact of sitters on the incidence of falls and patient satisfaction. Qual Manag Health Care. 2001;10:10-16.
5. Mayo N, Gloutney L, Levy R. A randomised trial of identification bracelets to prevent falls among patients in a rehabilitation hospital. Arch Phys Med Rehabil. 1994;75:1302-1308.
6. Dempsey J. Falls prevention revisited: a call for a new approach. J Clin Nurs. 2004;13:479-485.
7. Haines T, Bennell K, Osborne R, Hill K. Effectiveness of targeted falls prevention programme in subacute hospital setting: randomised controlled trial. Brit Med J. 2004;328:676-679.
8. Healey F, Monro A, Cockram A, Adams V, Heseltine D. Using targeted risk factor reduction to prevent falls in older in-patients: a randomised controlled trial. Age Ageing. 2004;33:390-395.
9. Brady R, Chester F, Pierce L, Salter J, Schreck S, Radziewicz R. Geriatric falls: prevention strategies for the staff. J Gerontol Nurs. 1993;19:26-32.
10. Foster K, Kohlenberg E. Patient falls in a tertiary rehabilitation setting. Rehabil Nurs Res. 1996;5:23-29.
11. Grenier-Sennelier C, Lombard I, Jeny-Loeper C, Maillet-Gouret M, Minvielle E. Designing adverse event prevention programs using quality management methods: the case of falls in hospital. Int J Qual Halth Care. 2002;14:419-426.
12. Oliver D, Martin F, Seed P. Preventing patient falls. Age Ageing. 2002;31:75-82.
13. Sweeting H. Patient fall prevention - a structured approach. J Nurs Manag. 1994;2:187-192.
14. Tuffnell C. Falling can seriously damage one's health - even in hospital. World Health Forum. 1990;11:282-285.
15. Vassallo M, Vignaraja R, Sharma J, et al. The effect of changing practice on fall prevention in a rehabilitative hospital: the Hospital Injury Prevention Study. J Am Geriatr Soc. 2004;52:335-339.
16. Brandis S. A collaborative occupational therapy and nursing approach to falls prevention in hospital inpatients. J Qual Clin Pract. 1999;19: 215-220.
17. Uden G, Ehnfors M, Sjostrom K. Use of initial risk assessment and recording as the main nursing intervention in identifying risk of falls. J Adv Nurs. 1999;29:145-152.
18. Myers H. Hospital fall risk assessment tools: a critique of the literature. Int J Nurs Pract. 2003;9:223-235.
19. Oliver D, Daly F, Martin F, McMurdo M. Risk factors and risk assessment tools for falls in hospital in-patients: a systematic review. Age Ageing. 2004;33:122-130.
20. Perell K, Nelson A, Goldman R, Luther S, Prieto-Lewis N, Rubenstein L. Fall risk assessment measures: an analytic review. J Gerontol. 2001; 56A:M761-M766.
21. Simon R, Altman D. Statistical aspects of prognostic factor studies in oncology. Brit J Cancer. 1994;69:979-985.
22. Mallen C, Peat G, Croft P. Quality assessment of observational studies is not commonplace in systematic reviews. J Clin Epidemiol. 2006; 59:765-769.
23. Lijmer J, Mol B, Heisterkamp S, et al. Empirical evidence of design-related bias in studies of diagnostic tests. JAMA. 1999;282: 1061-1066.
24. Bossuyt P, Reitsma J, Bruns D, et al. Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD Initiative. Ann Intern Med. 2003;138:40-44.
25. Youden W. Index for rating diagnostic tests. Cancer. 1950;3:32-35.
26. Morse J. Nursing research on patient falls in health care institutions. Ann Rev Nurs Res. 1993;11:299-316.
27. Yauk S, Hopkins B, Phillips C, Terrell S, Bennion J, Riggs M. Predicting in-hospital falls development of the Scott and White falls risk screener. J Nurs Care Qual. 2004;20:128-133.
28. Salgado R, Lord S, Packer J, Ehrlich F. Factors associated with falling in elderly hospital patients. Gerontology. 1994;40:325-331.
29. Oliver D, Britton M, Seed P, Martin F, Hopper A. Development and evaluation of evidence based risk assessment tool (STRATIFY) to predict which elderly inpatients will fall: case-control and cohort studies. Brit Med J. 1997;315:1049-1053.
30. Chu L, Pei C, Chiu A, et al. Risk factors for falls in hospitalized older medical patients. J Gerontol. 1999;54A:M38-M43.
31. Morse J, Morse R, Tylko S. Development of a scale to identify the fall-prone patient. Can J Aging. 1989;8:366-377.
32. Hendrich A, Bender P, Nyhuis A. Validation of the Hendrich II fall risk model: a large concurrent case/control study of hospitalised patients. Appl Nurs Res. 2003;16:9-21.
33. Hendrich A, Nyhuis A, Kippenbrock T, Soja M. Hospital falls: development of a predictive model for clinical practice. Appl Nurs Res. 1995;8:129-139.
34. Rapport L, Hanks R, Millis S, Deshpande S. Executive functioning and predictors of falls in the rehabilitation setting. Arch Phys Med Rehabil. 1998;79:629-633.
35. Halfon P, Eggli Y, Melle G, Vagnair A. Risk of falls for hospitalized patients: a predictive model based on routinely available data. J Clin Epidemiol. 2001;54:1258-1266.
36. Nyberg L, Gustafson Y. Fall prediction index for patients in stroke rehabilitation. Stroke. 1997;28:716-721.
37. Schmid N. Reducing patient falls: a research-based comprehensive fall prevention program. Mil Med. 1990;155:202-207.
38. Rapport L, Webster J, Flemming K, et al. Predictors of falls among right-hemisphere stroke patients in the rehabilitation setting. Arch Phys Med Rehabil. 1993;74:621-626.
39. Izumi K, Makimoto K, Kato M, Hiramatsu T. Prospective study of fall risk assessment among institutionalized elderly in Japan. Nurs Health Sci. 2002;4:141-147.
40. Conley D, Schultz A, Selvin R. The challenge of predicting patients at risk for falling: development of the Conley Scale. Medsurg Nurs. 1999;8:348-354.
41. Bakarich A, McMillan V, Prosser R. The effect of a nursing intervention on the incidence of older patient falls. Aust J Adv Nurs. 1997;15:26-31.
42. Barbieri E. Patient falls are not accidents. J Gerontol Nurs. 1983;9:165-173.
43. Gluck T, Wientjes H, Rai G. An evaluation of risk factors for in-patient falls in acute and rehabilitation elderly care wards. Gerontology. 1996;42:104-107.
44. MacAvoy S, Skinner T, Hines M. Clinical methods: fall risk assessment tool. Appl Nurs Res. 1996;9:213-218.
45. Price C, Suddes M, Maguire L, Harrison S, O'Shea D. Single assessment of risk predicted which elderly patients would fall. Brit Med J. 1998;316:1750.
46. Coker E, Oliver D. Evaluation of the STRATIFY falls prediction tool on a geriatric unit. Outcomes Manag. 2003;7:8-14.
47. Myers H, Nikoletti S. Fall risk assessment: a prospective investigation of nurses' clinical judgement and risk assessment tools in predicting patient falls. Int J Nurs Pract. 2003;9:158-165.
48. Spellbrig A. Assessing elderly patients at high risk for falls: a reliability study. J Nurs Care Qual. 1992;6:30-35.
49. Steyerberg E, Harrell F, Borsboom G, Eijkemans M, Vergouwe Y, Habbema J. Internal validation of predictive models: efficiency of some procedures for logistic regression analysis. J Clin Epidemiol. 2001;54: 774-781.
50. Harrell F, Lee K, Mark D. Multivariate prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med. 1996;15:361-387.
51. Altman D, Royston P. What do we mean by validating a prognostic model? Stat Med. 2000;19:453-473.
52. McCollam M. Evaluation and implementation of a research-based falls assessment innovation. Nurs Clin North Am. 1995;30:507-514.
53. Chow S, Lai C, Wong T, et al. Evaluation of the Morse Fall Scale: applicability in Chinese hospital populations. Int J Nurs Stud. In press.
54. Ewald B. Post hoc choice of cut points introduced bias to diagnostic research. J Clin Epidemiol. 2006;59:798-801.
55. Jester R, Wade S, Henderson K. A pilot investigation of the efficacy of falls risk assessment tools and prevention strategies in an elderly hip fracture population. J Orthop Nurs. 2005;9:27-34.
56. Haines T. All not lost on falls risk assessment for hip fracture patients. J Orthop Nurs. 2006;10:56.
57. Papaioannou A, Parkinson W, Cook R, Ferko N, Coker E, Adachi J. Prediction of falls using a risk assessment tool in the acute care setting. BMC Med. 2004;2:1.
58. Haines T, Bennell K, Osborne R, Hill K. A new instrument for targeting falls prevention interventions was accurate and clinically applicable in a hospital setting. J Clin Epidemiol. 2006;59:168-175.
59. Vassallo M, Stockdale R, Sharma J, Briggs R, Allen S. A comparative study of the use of four fall risk assessment tools on acute medical wards. J Am Geriatr Soc. 2005;53:1034-1038.
60. Haines T, Hill K, Bennell K, Osborne R. Recurrent events counted in evaluations of predictive accuracy. J Clin Epidemiol. 2006;59: 1155-1161.
61. O'Connell B, Myers H. The sensitivity and specificity of the Morse Fall Scale in an acute care setting. J Clin Nurs. 2002;11:134-136.
62. Nyberg L, Gustafson Y. Using the Downton Index to predict those prone to falls in stroke rehabilitation. Stroke. 1996;27:1821-1824.
63. Hill K, Vrantsidis F, Jessup R, McGann A, Pearce J, Collins T. Validation of a falls risk assessment tool in the sub-acute hospital setting: a pilot study. Australas J Podiatric Med. 2004;38:99-108.
64. Prosser L, Canby A. Further validation of the Elderly Mobility Scale for measurement of mobility of hospitalized elderly people. Clin Rehabil. 1997;11:338-343.
65. Moore T, Martin J, Stonehouse J. Predicting falls: risk assessment tool versus clinical judgement. Perspectives. 1996;20:8-11.
66. Price C, Suddes M, Wood B, Harrison S, O'Shea D. Validation of a visual analogue scale for assessment of falls risk in elderly inpatients. Age Ageing. 1999;28(Suppl 1):15.
67. Eagle J, Salama S, Whitman D, Evans L, Ho E, Olde J. Comparison of three instruments in predicting accidental falls in selected inpatients in a general teaching hospital. J Gerontol Nurs. 1999;25:40-45.
68. Schwendimann R, De Geest S, Milisen K. Evaluation of the Morse Fall Scale in hospitalised patients. Age Ageing. 2006;35:311-313.
69. Feld J, Rabadi M, Blau A, Jordan B. Berg balance scale and outcome measures in acquired brain injury. Neurorehabil Neural Repair. 2001;15:239-244.
70. Smith J, Forster A, Young J. Use of the 'STRATIFY' falls risk assessment in patients recovering from acute stroke. Age Ageing. 2006;35:138-143.