Assessment of medical malpractice cost at a Japanese national university hospital.

Medical safety management has an economic dimension that has received little attention. Medical expenses associated with medical malpractice in Japan should be investigated in relation to patient safety measures and their consequences. We analyzed medical accidents that occurred within the past seven years at a university hospital. We determined that 197 accidents involved negligence by the hospital in the years from 2011 to 2017, for which the institution bore the costs of the resulting treatment; those expenses totaled JPY 30.547 million. Most incidents occurred in the hospital ward (82, 41.6%); those in the operating room were the most expensive (JPY 19.493 million, 63.8%). The greatest number of cases involved drug administration (63, 32.0%). Materials inadvertently left in surgical sites ("remnants") cost the hospital the most per incident (JPY 9.767 million, 32.0%). Of these, medical treatment costs for remnants associated with vascular invasion were the highest. Although the total number of malpractice incidents increased over time, the annual cost to the hospital decreased, especially in cases in which costs exceeded JPY 100,000, and those associated with the operating room. Our results suggested that adverse events must be addressed to foster patient safety, decrease medical expenses, and improve hospital administrative capacity.

Enhanced hospital-wide communication and interaction by team training to improve patient safety.

Communication errors are the most important cause of adverse events in healthcare. The current study aimed to improve hospital-wide employee teamwork and reduce adverse medical events for patients arising from miscommunication. In our hospital, when patient safety incidents and accidents occur, staff from various occupations submit incident reports to the Department of Patient Safety via an electronic reporting system; over 11,000 cases are reported each year. We surveyed the incident reports submitted in our institution from 2016 to 2018. All incidents related to miscommunication were identified, and relevant information was collected from the original electronic incident reports. Incident severity classification is commonly divided into near-miss or adverse events. We extracted only the required incident information items for this study, and processed information concerning individuals (e.g., reporters and target patients) anonymously. This study was approved by the Institutional Review Board of the study hospital. The authors declare no conflicts of interest associated with this study. Team training for all employees reduced adverse events for patients. The coefficient of determination (R squared value) was -0.32. This suggests our approach may be slightly but significantly effective for developing the fundamental strengths of the medical team. Quality improvement is continuous, and seamless efforts to improve the effectiveness of medical teams at our hospital will continue.

Intervention efficacy for eliminating patient misidentification using step-by-step problem-solving procedures to improve patient safety.

This study aimed to evaluate the efficacy of interventions to reduce patient misidentification incidents classified as level 2 and over (adverse events occurred for patients) with the step-by-step problem-solving method. All incidents related to patient misidentification were selected, and relevant information was collected from the original electronic incident reports. We then conducted an eight-step problem-solving process with the aim of reducing patient misclassification and improving patient safety. Step 1: the number of misidentification-related incident reports and the percentage of these reports in the total incident reports increased each year. Step 2: the most frequent misidentification type was sample collection tubes, followed by drug administration and hospital meals. Step 3: we set a target of an 20% decrease in patient misidentification cases classified as level 2 or over compared with the previous year, and established this as a hospital priority. Step 4: we found that discrepancies in patient identification procedures were the most important causes of misidentification. Step 5: we standardized the patient identification process to achieve an 10% reduction in misidentification. Step 6: we disseminated instructional videos to all staff members. Step 7: we confirmed there was an 18% reduction in level 2 and over patient misidentification compared with the previous year. Step 8: we intend to make additional effort to decrease misidentification of patients by a further 10%. Level 2 and over patient misidentification can be reduced by a patient identification policy using a step-by-step problem-solving procedure. This study aimed to evaluate the efficacy of interventions to reduce patient misidentification incidents with step-by-step problem-solving method. Continued seamless efforts to eliminate patient misidentification are mandatory for this activity.

The effectiveness of a multidisciplinary QI activity for accidental fall prevention: staff compliance is critical.

BACKGROUND: Accidental falls among inpatients are a substantial cause of hospital injury. A number of successful experimental studies on fall prevention have shown the importance and efficacy of multifactorial intervention, though success rates vary. However, the importance of staff compliance with these effective, but often time-consuming, multifactorial interventions has not been fully investigated in a routine clinical setting. The purpose of this observational study was to describe the effectiveness of a multidisciplinary quality improvement (QI) activity for accidental fall prevention, with particular focus on staff compliance in a non-experimental clinical setting. METHODS: This observational study was conducted from July 2004 through December 2010 at St. Luke's International Hospital in Tokyo, Japan. The QI activity for in-patient falls prevention consisted of: 1) the fall risk assessment tool, 2) an intervention protocol to prevent in-patient falls, 3) specific environmental safety interventions, 4) staff education, and 5) multidisciplinary healthcare staff compliance monitoring and feedback mechanisms. RESULTS: The overall fall rate was 2.13 falls per 1000 patient days (350/164331) in 2004 versus 1.53 falls per 1000 patient days (263/172325) in 2010, representing a significant decrease (p = 0.039). In the first 6 months, compliance with use of the falling risk assessment tool at admission was 91.5% in 2007 (3998/4368), increasing to 97.6% in 2010 (10564/10828). The staff compliance rate of implementing an appropriate intervention plan was 85.9% in 2007, increasing to 95.3% in 2010. CONCLUSION: In our study we observed a substantial decrease in patient fall rates and an increase of staff compliance with a newly implemented falls prevention program. A systematized QI approach that closely involves, encourages, and educates healthcare staff at multiple levels is effective.

Relationship between nursing workloads and patient safety incidents.

OBJECTIVE: To evaluate the relationship between nursing workloads and patient safety incidents in inpatient wards of a general hospital. METHODS: A retrospective data analysis was conducted involving the internal medicine wards in a teaching hospital in Japan between July 1st and December 31st, 2006. To assess associations between nursing workloads and patient safety incidents, we analyzed the following: the relationships between the level of patients' dependency and the number of incident reports; and the relationships between the presence of accidental falls and the presence of patients transferred from the intensive care unit to the wards. RESULTS: Fifty-five nurses worked on the wards (105 beds). The total number of incidents was 142 over the 184 days of this study. There was a positive trend between the number of incidents and the total patient dependency score. The presence of accidental falls in the wards was associated with the presence of transfers from the intensive care unit to the wards (odds ratio 3.14, 95% confidence interval: 1.48, 6.65). CONCLUSION: Greater nursing workloads may be related to the higher number of patient safety incidents in inpatient wards of hospitals.