Literature DB >> 15805457

Relationship between tort claims and patient incident reports in the Veterans Health Administration.

J M Schmidek1, W B Weeks.   

Abstract

OBJECTIVE: The Veterans Health Administration's patient incident reporting system was established to obtain comprehensive data on adverse events that affect patients and to act as a harbinger for risk management. It maintains a dataset of tort claims that are made against Veterans Administration's employees acting within the scope of employment. In an effort to understand the thoroughness of reporting, we examined the relationship between tort claims and patient incident reports (PIRs).
METHODS: Using social security and record numbers, we matched 8260 tort claims and 32 207 PIRs from fiscal years 1993-2000. Tort claims and PIRs were considered to be related if the recorded dates of incident were within 1 month of each other. Descriptive statistics, odds ratios, and two sample t tests with unequal variances were used to determine the relationship between PIRs and tort claims.
RESULTS: 4.15% of claims had a related PIR. Claim payment (either settlement or judgment for plaintiff) was more likely when associated with a PIR (OR 3.62; 95% CI 2.87 to 4.60). Payment was most likely for medication errors (OR 8.37; 95% CI 2.05 to 73.25) and least likely for suicides (OR 0.25; 95% CI 0.11 to 0.55).
CONCLUSIONS: Although few tort claims had a related PIR, if a PIR was present the tort claim was more likely to result in a payment; moreover, the payment was likely to be higher. Underreporting of patient incidents that developed into tort claims was evident. Our findings suggest that, in the Veterans Health Administration, there is a higher propensity to both report and settle PIRs with bad outcomes.

Entities:  

Mesh:

Year:  2005        PMID: 15805457      PMCID: PMC1743988          DOI: 10.1136/qshc.2004.010835

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


  53 in total

1.  How to investigate and analyse clinical incidents: clinical risk unit and association of litigation and risk management protocol.

Authors:  C Vincent; S Taylor-Adams; E J Chapman; D Hewett; S Prior; P Strange; A Tizzard
Journal:  BMJ       Date:  2000-03-18

2.  Error, stress, and teamwork in medicine and aviation: cross sectional surveys.

Authors:  J B Sexton; E J Thomas; R L Helmreich
Journal:  BMJ       Date:  2000-03-18

Review 3.  Reporting and preventing medical mishaps: lessons from non-medical near miss reporting systems.

Authors:  P Barach; S D Small
Journal:  BMJ       Date:  2000-03-18

4.  Reducing errors made by emergency physicians in interpreting radiographs: longitudinal study.

Authors:  J A Espinosa; T W Nolan
Journal:  BMJ       Date:  2000-03-18

5.  Epidemiology of medical error.

Authors:  S N Weingart; R M Wilson; R W Gibberd; B Harrison
Journal:  BMJ       Date:  2000-03-18

6.  On error management: lessons from aviation.

Authors:  R L Helmreich
Journal:  BMJ       Date:  2000-03-18

7.  Human error: models and management.

Authors:  J Reason
Journal:  BMJ       Date:  2000-03-18

8.  How the NHS can improve safety and learning. By learning free lessons from near misses.

Authors:  P Barach; S D Small
Journal:  BMJ       Date:  2000-06-24

9.  Error in medicine: what have we learned?

Authors:  D W Bates; A A Gawande
Journal:  Ann Intern Med       Date:  2000-05-02       Impact factor: 25.391

10.  Serious hazards of transfusion (SHOT) initiative: analysis of the first two annual reports.

Authors:  L M Williamson; S Lowe; E M Love; H Cohen; K Soldan; D B McClelland; P Skacel; J A Barbara
Journal:  BMJ       Date:  1999-07-03
View more
  2 in total

1.  Evaluation of an intervention aimed at improving voluntary incident reporting in hospitals.

Authors:  Sue M Evans; Brian J Smith; Adrian Esterman; William B Runciman; Guy Maddern; Karen Stead; Pam Selim; Jane O'Shaughnessy; Sandy Muecke; Sue Jones
Journal:  Qual Saf Health Care       Date:  2007-06

2.  Use of an interactive, telephone-based self-management support program to identify adverse events among ambulatory diabetes patients.

Authors:  Urmimala Sarkar; Margaret A Handley; Reena Gupta; Audrey Tang; Elizabeth Murphy; Hilary K Seligman; Kaveh G Shojania; Dean Schillinger
Journal:  J Gen Intern Med       Date:  2008-04       Impact factor: 5.128

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.