Literature DB >> 19064658

Do falls and falls-injuries in hospital indicate negligent care -- and how big is the risk? A retrospective analysis of the NHS Litigation Authority Database of clinical negligence claims, resulting from falls in hospitals in England 1995 to 2006.

D Oliver1, S Killick, T Even, M Willmott.   

Abstract

BACKGROUND: Accidental falls are very common in older hospital patients -- accounting for 32% of reported adult patient safety incidents in UK National Health Service (NHS) hospitals and occurring with similar frequency in settings internationally. In countries where the population is ageing, and care is provided in inpatient settings, falls prevention is therefore a significant and growing risk-management issue. Falls may lead to a variety of harms and costs, are cited in formal complaints and can lead to claims of clinical negligence. The NHS Litigation Authority (NHSLA) negligence claims database provides a novel opportunity to systematically analyse such (falls-related) claims made against NHS organisations in England and to learn lessons for risk-management systems and claims recording.
OBJECTIVES: To describe the circumstances and injuries most frequently cited in falls-related claims; to investigate any association between the financial impact (total cost), and the circumstances of or injuries resulting from falls in "closed" claims; to draw lessons for falls risk management and for future data capture on falls incidents and resulting claims analysis; to identify priorities for future research.
METHODS: A keyword search was run on the NHSLA claims database for April 1995 to February 2006, to identify all claims apparently relating to falls. Claims were excluded from further analysis if, on scrutiny, they had not resulted from falls, or if they were still "open" (ie, unresolved). From the narrative descriptions of closed claims (ie, those for which the financial outcome was known), we developed categories of "principal" and "secondary" injury/harm and "principal" and "contributory" circumstance of falls. For each category, it was determined whether cases had resulted in payment and what total payments (damages and costs) were awarded. The proportions of contribution-specific injuries or circumstances to the number of cases and to the overall costs incurred were compared in order to identify circumstances that tend to be more costly. Means were compared and tested through analysis of variance (ANOVA). The association between categorical variables was tested using the chi-square test.
RESULTS: Of 668 claims identified by word search, 646 met inclusion criteria. The results presented are for the 479 of these that were "closed" at the time of the census. Of these, 290 (60.5%) had resulted in payment of costs or damages, with the overall total payment being 6,200,737 pound (mean payment 12,945 pound). All claims were settled out of court, so no legal rulings on establishing liability or causation of injury are available. "Falls whilst walking;" "from beds or trolleys" ("with and without bedrails applied") or "transferring/from a chair" were the most frequent source of these claims (n = 308, 64.2%). Clear secondary contributory circumstances were identified in 190 (39.7%) of closed claims. The most common circumstances cited were "perioperative/procedural incidents" (60, 12.5%) and "requests for bedrails being ignored" (54, 11.3%). For primary injuries, "hip/femoral/pelvic fracture" accounted for 203 (42.4%) of closed claims with total payments of 3,228,781 pound (52.1% of all payments), with a mean payment 15,905 pound per closed case. A "secondary" contributory circumstance could be attributed in 133 (27.8%) of cases. Of these, "delay in diagnosis of injury," "recurrent falls during admission" and "fatalities relating to falls" were the commonest circumstances (n = 59, 12.2%). DISCUSSION: Although falls are the highest volume patient safety incident reported in hospital trusts in England, they result in a relatively small number of negligence claims and receive a relatively low total payment (0.019% in both cases). The mean payment in closed claims is also relatively small. This may reflect the high average age of the people who fall and difficulty in establishing causation, especially where individuals are already frail when they fall. The patterns of claims and the narrative descriptions provide wider lessons for improving risk-management strategies. However, the inherent limitations and biases in the data routinely recorded for legal purposes suggest that for more informative research or actuarial claims analysis, more comprehensive and systematic data to be recorded for each incident claim are needed.

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Year:  2008        PMID: 19064658     DOI: 10.1136/qshc.2007.024703

Source DB:  PubMed          Journal:  Qual Saf Health Care        ISSN: 1475-3898


  14 in total

1.  Falls Risk Prediction for Older Inpatients in Acute Care Medical Wards: Is There an Interest to Combine an Early Nurse Assessment and the Artificial Neural Network Analysis?

Authors:  O Beauchet; F Noublanche; R Simon; H Sekhon; J Chabot; E J Levinoff; A Kabeshova; C P Launay
Journal:  J Nutr Health Aging       Date:  2018       Impact factor: 4.075

2.  Consistent differences in medical unit fall rates: implications for research and practice.

Authors:  Vincent S Staggs; Lorraine C Mion; Ronald I Shorr
Journal:  J Am Geriatr Soc       Date:  2015-05-04       Impact factor: 5.562

3.  World Health Organization fracture risk assessment tool in the assessment of fractures after falls in hospital.

Authors:  Shin-ichi Toyabe
Journal:  BMC Health Serv Res       Date:  2010-04-27       Impact factor: 2.655

4.  Association between Nurse Staffing and In-Hospital Bone Fractures: A Retrospective Cohort Study.

Authors:  Kojiro Morita; Hiroki Matsui; Kiyohide Fushimi; Hideo Yasunaga
Journal:  Health Serv Res       Date:  2016-07-24       Impact factor: 3.402

5.  "Just Getting a Cup of Coffee"-Considering Best Practices for Patients' Movement off the Hospital Floor.

Authors:  Sara Stream; David Alfandre
Journal:  J Hosp Med       Date:  2019-06-19       Impact factor: 2.960

Review 6.  Traumatic brain injury: Estimate of the age of the injury based on neuroinflammation, endothelial activation markers and adhesion molecules.

Authors:  Massimiliano dell'Aquila; Aniello Maiese; Alessandra De Matteis; Rocco Valerio Viola; Mauro Arcangeli; Raffaele La Russa; Vittorio Fineschi
Journal:  Histol Histopathol       Date:  2021-02-24       Impact factor: 2.303

7.  Hypnotics and the Occurrence of Bone Fractures in Hospitalized Dementia Patients: A Matched Case-Control Study Using a National Inpatient Database.

Authors:  Hiroyuki Tamiya; Hideo Yasunaga; Hiroki Matusi; Kiyohide Fushimi; Sumito Ogawa; Masahiro Akishita
Journal:  PLoS One       Date:  2015-06-10       Impact factor: 3.240

8.  The economic burden of patient safety targets in acute care: a systematic review.

Authors:  Nicole Mittmann; Marika Koo; Nick Daneman; Andrew McDonald; Michael Baker; Anne Matlow; Murray Krahn; Kaveh G Shojania; Edward Etchells
Journal:  Drug Healthc Patient Saf       Date:  2012-10-05

9.  Detecting inpatient falls by using natural language processing of electronic medical records.

Authors:  Shin-ichi Toyabe
Journal:  BMC Health Serv Res       Date:  2012-12-05       Impact factor: 2.655

10.  Evaluation of the effect of patient education on rates of falls in older hospital patients: description of a randomised controlled trial.

Authors:  Anne-Marie Hill; Keith Hill; Sandra Brauer; David Oliver; Tammy Hoffmann; Christopher Beer; Steven McPhail; Terry P Haines
Journal:  BMC Geriatr       Date:  2009-04-24       Impact factor: 3.921

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