Barriers and enablers in implementing an electronic incident reporting system in a teaching hospital: A case study from Saudi Arabia.

BACKGROUND: Widespread recognition of the impact of healthcare adverse events has triggered incident reporting system implementation to promote patient safety. The aim was to assess the effectiveness, usability, enablers, and barriers of the Electronic Occurrence Variance Reporting System (eOVR) in addition to end user satisfaction. METHODS: This study comprised a cross-sectional survey two years after implementation of the eOVR. Secondary data analysis evaluated the volume of incident reporting before and after implementing the eOVR. OUTCOME MEASURES: Primary outcome measures: satisfaction and system usability, system security, workplace safety culture, training, and reporting trends. An overall satisfaction was collected. SECONDARY OUTCOME: rate of reported OVRs per 1000 admissions. Furthermore, barriers and enablers to the reporting process were explored. RESULTS: Study findings indicate that the eOVR has been successful in terms of high satisfaction according to respondents. Most of the respondents found the system easy to access, maintained patient confidentiality and reporting anonymity. Around half the respondents indicated having a non-punitive culture of reporting in their hospital. Physicians had significantly lower scores in all primary outcomes Incident reporting increased by 33.6% (p < 0.0001) after implementing the eOVR. CONCLUSION: Successful incident reporting systems should be easy and simple to use, accessible and include features that guarantee anonymity and confidentiality. End-users should be trained prior to launching such a system. The implementation of such systems needs to be combined with promoting a just culture in the organization, timely feedback, more involvement and focus on physicians and junior staff which will improve user satisfaction and reporting rates.

Failure Mode and Effect Analysis (FMEA) may enhance implementation of clinical practice guidelines: An experience from the Middle East.

RATIONALE, AIMS, AND OBJECTIVES: Implementation of clinical practice guidelines (CPGs) has been shown to reduce variation in practice and improve health care quality and patients' safety. There is a limited experience of CPG implementation (CPGI) in the Middle East. The CPG program in our institution was launched in 2009. The Quality Management department conducted a Failure Mode and Effect Analysis (FMEA) for further improvement of CPGI. METHODS: This is a prospective study of a qualitative/quantitative design. Our FMEA included (1) process review and recording of the steps and activities of CPGI; (2) hazard analysis by recording activity-related failure modes and their effects, identification of actions required, assigned severity, occurrence, and detection scores for each failure mode and calculated the risk priority number (RPN) by using an online interactive FMEA tool; (3) planning: RPNs were prioritized, recommendations, and further planning for new interventions were identified; and (4) monitoring: after reduction or elimination of the failure mode. The calculated RPN will be compared with subsequent analysis in post-implementation phase. RESULTS: The data were scrutinized from a feedback of quality team members using a FMEA framework to enhance the implementation of 29 adapted CPGs. The identified potential common failure modes with the highest RPN (≥ 80) included awareness/training activities, accessibility of CPGs, fewer advocates from clinical champions, and CPGs auditing. Actions included (1) organizing regular awareness activities, (2) making CPGs printed and electronic copies accessible, (3) encouraging senior practitioners to get involved in CPGI, and (4) enhancing CPGs auditing as part of the quality sustainability plan. CONCLUSION: In our experience, FMEA could be a useful tool to enhance CPGI. It helped us to identify potential barriers and prepare relevant solutions.