@article{1690, keywords = {adverse events, epidemiology and detection, patient safety, trigger tools}, author = {Marléne Lindblad and Kristina Schildmeijer and Lena Nilsson and Mirjam Ekstedt and Maria Unbeck}, title = {Development of a trigger tool to identify adverse events and no-harm incidents that affect patients admitted to home healthcare.}, abstract = {

BACKGROUND: Adverse events (AEs) and no-harm incidents are common and of great concern in healthcare. A common method for identification of AEs is retrospective record review (RRR) using predefined triggers. This method has been used frequently in inpatient care, but AEs in home healthcare have not been explored to the same extent. The aim of this study was to develop a trigger tool (TT) for the identification of both AEs and no-harm incidents affecting adult patients admitted to home healthcare in Sweden, and to describe the methodology used for this development.

METHODS: The TT was developed and validated in a stepwise manner, in collaboration with experts with different skills, using (1) literature review and interviews, (2) a five-round modified Delphi process, and (3) two-stage RRRs. Ten trained teams from different sites in Sweden reviewed 600 randomly selected records.

RESULTS: In all, triggers were found 4031 times in 518 (86.3%) records, with a mean of 6.7 (median 4, range 1-54) triggers per record with triggers. The positive predictive values (PPVs) for AEs and no-harm incidents were 25.4% and 16.3%, respectively, resulting in a PPV of 41.7% (range 0.0%-96.1% per trigger) for the total TT when using 38 triggers. The most common triggers were , , . AEs were identified in 37.7% of the patients and no-harm incidents in 29.5%.

CONCLUSION: This study shows that adapted triggers with definitions and decision support, developed to identify AEs and no-harm incidents that affect patients admitted to home healthcare, may be a valid method for safety and quality improvement work in home healthcare.

}, year = {2018}, journal = {BMJ Qual Saf}, volume = {27}, pages = {502-511}, month = {12/2018}, issn = {2044-5423}, doi = {10.1136/bmjqs-2017-006755}, language = {eng}, }