1. A GLOBAL REMOTE QUALITY IMPROVEMENT INITIATIVE: NEEDS ASSESSMENT FROM INTERPROFESSIONAL CRITICAL CARE PROVIDERS FROM BOSNIA AND HERZEGOVINA
- Author
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Heyi Li, Pedja Kovacevic, Ognjen Gajic, Simon Zec, Aida Mujakovic, Yue Dong, Manja Spahalic, Alexander S. Niven, Marija Bogojevic, and Slavenka Straus
- Subjects
Pulmonary and Respiratory Medicine ,Response rate (survey) ,Medical education ,Quality management ,business.industry ,Best practice ,Delphi method ,Critical Care and Intensive Care Medicine ,Analytics ,Cultural diversity ,Needs assessment ,Medicine ,Cardiology and Cardiovascular Medicine ,business ,Q methodology - Abstract
TOPIC: Education, Research, and Quality Improvement TYPE: Original Investigations PURPOSE: The need for swift international collaboration alongside rapidly deployable remote medical knowledge transition and implementation programs has been highlighted during the ongoing COVID-19 pandemic. Virtual programs have emerged as cost-effective alternatives to in-person education to spread best practices to resource-limited locations and garner purposeful learner engagement. Understanding local practice needs is paramount to the development of an effective quality improvement initiative. This study aimed to gain insight into the interests, clinical challenges, and attitudes of a group of interprofessional critical care providers from Bosnia and Herzegovina in preparation for a longitudinal remote education and quality improvement program. METHODS: A novel learning needs assessment tool was implemented in a cohort of critical care professionals from four hospitals in Bosnia and Herzegovina. A sequential explanatory design was employed, and a mixed-method assessment was conducted in three phases. 1) Utilizing the Delphi method, twenty statements containing common critical care entrustable professional activities (EPAs) were developed by a board of intensivists and medical education specialists. 2) Local learners used Q Sort methodology to rank-order EPAs based on self-perceived learning priorities, with subsequent by-person factor analysis. 3) Learners were invited for focus-group interviews to gather details of the rationale behind their rankings. RESULTS: Forty nine out of 105 participants completed the rank-order survey (response rate 47%). Factor analysis categorized the participants into two main groups based on the typology of their opinions, 22 participants into factor 1 and 9 participants into factor 2. The highest-ranked EPAs amongst the two factors were “evaluation and management of the patients with shock, stabilization, and resuscitation of critically ill patients” and “evaluation and management of ARDS,” respectively. Statements regarding common ICU complications and procedures were regarded as neutral. The lowest rank amongst factor 1 was “patient-centered care, communication skills, and interprofessional collaboration.” Participants in factor 2 ranked “preoperative evaluation and management” and “common hematologic and oncologic complications” the lowest. The rationale behind rank orders focused on the current patient population and perceived EPA importance to critical care practice. Participants in factor 1 displayed pessimistic attitudes toward patient-centered care and interprofessional collaboration due to cultural and healthcare system constraints. Interviewees in both factors described local challenges and expressed a need for change. CONCLUSIONS: We conducted a remote needs assessment in an international, interprofessional group of critical care providers. In addition to building trust with learners, the acquired knowledge of cultural differences, needs, and barriers to implementation will guide an ongoing remote education and quality improvement initiative. CLINICAL IMPLICATIONS: This investigation will shape a critical care best practices quality improvement initiative and remote education program in a country with limited resources. DISCLOSURES: No relevant relationships by Marija Bogojevic, source=Web Response No relevant relationships by Yue Dong, source=Web Response Patent/IP rights for a licensed product relationship with Ambient Clinical Analytics Please note: From 2016 Added 05/23/2021 by Ognjen Gajic, source=Web Response, value=Royalty no disclosure on file for Pedja Kovacevic;No relevant relationships by Heyi Li, source=Web Response No relevant relationships by Aida Mujakovic, source=Web Response No relevant relationships by Alexander Niven, source=Web Response No relevant relationships by Manja Spahalic, source=Web Response no disclosure on file for Slavenka Straus;No relevant relationships by Simon Zec, source=Web Response
- Published
- 2021