Barriers and Facilitators to Collecting Surgical Outcome Data in Low- and Middle-Income Countries: An International Survey

Author:

Diehl Thomas1,Jaraczewski Taylor J.2,Ahmed Kaleem Sohail1,Khan Muhammad Rizwan3,Harrison Ewen M.4,Abebe Belay Mellese5,Latif Asad3,Mughal Nabiha6,Khan Sadaf3,McQueen K. A. Kelly7,Tefera Girma1,Zafar Syed Nabeel1

Affiliation:

1. From the Department of Surgery, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI

2. Department of Surgery, Medical College of Wisconsin, Milwaukee, WI

3. Department of Surgery, The Aga Khan University, Karachi, Pakistan

4. Department of Clinical Surgery, The University of Edinburgh, Edinburgh, United Kingdom

5. Department of Surgery, Hawassa University Comprehensive Specialized Hospital, Awassa, Ethiopia

6. Department of Surgical Oncology, Department of Surgery, New York University Medical Center, New York, NY

7. Department of Anesthesia, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI.

Abstract

Background: Perioperative data are essential to improve the safety of surgical care. However, surgical outcome research (SOR) from low- and middle-income countries (LMICs) is disproportionately sparse. We aimed to assess practices, barriers, facilitators, and perceptions influencing the collection and use of surgical outcome data (SOD) in LMICs. Methods: An internet-based survey was developed and disseminated to stakeholders involved in the care of surgical patients in LMICs. The Performance of Routine Information Systems Management framework was used to explore the frequency and relative importance of organizational, technical, and behavioral barriers. Associations were determined using χ 2 and ANOVA analyses. Results: Final analysis included 229 surgeons, anesthesia providers, nurses, and administrators from 36 separate LMICs. A total of 58.1% of individuals reported that their institution had experience with collection of SOD and 73% of these reported a positive impact on patient care. Mentorship and research training was available in <50% of respondent’s institutions; however, those who had these were more likely to publish SOD (P = 0.02). Sixteen barriers met the threshold for significance of which the top 3 were the burden of clinical responsibility, research costs, and accuracy of medical documentation. The most frequently proposed solutions were the availability of an electronic data collection platform (95.3%), dedicated research personnel (93.2%), and access to research training (93.2%). Conclusions: There are several barriers and facilitators to collection of SOD that are common across LMICs. Most of these can be addressed through targeted interventions and are highlighted in this study. We provide a path towards advancing SOR in LMICs.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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