Characterization of Safety Events Involving Technology in Primary and Community Care

Abstract

Background: The adoption of technology in health care settings is often touted as an opportunity to improve patient safety. While some adverse events can be reduced by health information technologies, technology has also been implicated in or attributed to safety events. To date, most studies on this topic have focused on acute care settings.

Objectives: To describe voluntarily reported safety events that involved health information technology in community and primary care settings in a large Canadian health care organization.

Methods: Two years of safety events involving health information technology (2016-2018) were extracted from an online voluntary safety event reporting system. Events from primary and community care settings were categorized according to clinical setting, type of event, and level of harm. The Sittig and Singh sociotechnical system model was then used to identify the most prominent sociotechnical dimensions of each event.

Results: Of 104 reported events, most (n = 85, 82%) indicated the event resulted in no harm. Public health had the highest number of reports (n = 45, 43%), whereas home health had the fewest (n = 7, 7%). Of the 182 sociotechnical concepts identified, many events (n = 61, 59%) mapped to more than one dimension. Personnel (n = 48, 46%), Workflow and Communication (n = 37, 36%), and Content (n = 30, 29%) were the most common. Personnel and Content together was the most common combination of dimensions.

Conclusion: Most reported events featured both technical and social dimensions, suggesting that the nature of these events is multifaceted. Leveraging existing safety event reporting systems to screen for safety events involving health information technology, and applying a sociotechnical analytic framework can aid health organizations in identifying, responding to, and learning from reported events.

Fig. 1

Sociotechnical dimensions: individual. Note: 104 events analyzed, with 1 to 4 dimensions identified for each event, for a total of 182 dimensions identified.

Fig. 2

Most common sociotechnical dimensions: individual and Combinations. Note: only categories with 5 or more events shown.