Development and testing of Baylor Scott & White Health's "Attitudes and Practices of Patient Safety Survey".

Improving the quality of patient care requires a culture attuned to safety. We describe the development, implementation, and psychometric evaluation of the Attitudes and Practices of Patient Safety Survey (APPSS) within the Baylor Scott & White Health system. The APPSS was designed to enable safety culture data to be collected and aggregated at the unit level to identify high-priority needs. The survey, with 27 Likert-scale core questions divided into 4 concept domains and 2 open-ended questions, was administered electronically to employees with direct patient care responsibilities (n = 16,950). The 2015 response rate was 50.4%. The Cronbach's α values for the four domains ranged from 0.78 to 0.90, indicating strong internal consistency. Confirmatory factor analysis results were mixed but were comparable to those of established safety culture surveys. Over the years, the adaptability of the APPSS has proven helpful to administrative and clinical leaders alike, and the survey responses have led to the creation of programs to improve the organization's patient safety culture. In conclusion, the APPSS provides a reliable measure of patient safety culture and may be useful to other health care organizations seeking to improve the quality and safety of the care they provide.

Characterization of adverse events detected in a large health care delivery system using an enhanced global trigger tool over a five-year interval.

OBJECTIVE: To report 5 years of adverse events (AEs) identified using an enhanced Global Trigger Tool (GTT) in a large health care system. STUDY SETTING: Records from monthly random samples of adults admitted to eight acute care hospitals from 2007 to 2011 with lengths of stay ≥3 days were reviewed. STUDY DESIGN: We examined AE incidence overall and by presence on admission, severity, stemming from care provided versus omitted, preventability, and category; and the overlap with commonly used AE-detection systems. DATA COLLECTION: Professional nurse reviewers abstracted 9,017 records using the enhanced GTT, recording triggers and AEs. Medical record/account numbers were matched to identify overlapping voluntary reports or AHRQ Patient Safety Indicators (PSIs). PRINCIPAL FINDINGS: Estimated AE rates were as follows: 61.4 AEs/1,000 patient-days, 38.1 AEs/100 discharges, and 32.1 percent of patients with ≥1 AE. Of 1,300 present-on-admission AEs (37.9 percent of total), 78.5 percent showed NCC-MERP level F harm and 87.6 percent were "preventable/possibly preventable." Of 2,129 hospital-acquired AEs, 63.3 percent had level E harm, 70.8 percent were "preventable/possibly preventable"; the most common category was "surgical/procedural" (40.5 percent). Voluntary reports and PSIs captured <5 percent of encounters with hospital-acquired AEs. CONCLUSIONS: AEs are common and potentially amenable to prevention. GTT-identified AEs are seldom caught by commonly used AE-detection systems.

Description and evaluation of adaptations to the global trigger tool to enhance value to adverse event reduction efforts.

OBJECTIVE: To adapt the Global Trigger Tool (GTT) as a sustainable monitoring tool able to characterize adverse events (AEs) for organizational learning, within the context of limited resources. METHODS: Baylor Health Care System (BHCS) expanded the AE data collected to include judgments of preventability, presence on admission, relation to care provided or not provided, and narrative descriptions. To reduce costs, we focused on patients with length of stay (LOS) of 3 days or more, suspecting greater likelihood they had experienced an AE; adapted the sample size and frequency of review; and used a single nurse reviewer followed by quality assurance review within the Office of Patient Safety. We compared AE rates in patients with LOS of less than 3 days versus 3 days or greater, assessed trigger yields and interrater reliability, and submitted identified AEs to each hospital for validation as event types targeted for reduction. RESULTS: In 2008, 91% of identified AEs were in patients with LOS of 3 days or greater; there were 6.4 AEs per 100 discharges with LOS of less than 3 days versus 27.1 AEs per 100 discharges with LOS of 3 days or greater. Over 4 years, we reviewed 16,172 medical records; 14,184 had positive triggers, 17.1% of which were associated with an AE. Most AEs were identified via the "surgical" (36.3%) and "patient care" (36.0%) trigger modules. Reviewers showed fair to good agreement (κ = 0.62), and hospital clinical leaders strongly agreed that the identified events were AEs. CONCLUSIONS: The GTT can be adapted to health-care organizations' goals and resource limitations. This flexibility was essential in crossing our organization's "value threshold."