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Improving Perioperative Mortality Rate Data Capture in Hawassa, Ethiopia: A Mixed-Methods Study
Ajiel Mae F Basmayor1, Jerusalem Fissehatsion2, Biruk Woisha2
1Division of Trauma, Critical Care and Acute Care Surgery, Department of Surgery, Medical College of Wisconsin, Froedtert & Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Ethiopia
Area of Science:
- Global Health
- Surgical Outcomes
- Health Informatics
Background:
- Ethiopia's 2015 national plan to enhance surgical capacity.
- Implementation of surgical indicators for progress monitoring.
- Focus on perioperative mortality rate (POMR) in the Sidama region's largest referral hospital.
Purpose of the Study:
- Investigate the perioperative mortality rate (POMR).
- Compare POMR data across multiple sources.
- Evaluate data collection practices and challenges.
Main Methods:
- Defined perioperative mortality as death post-major surgery before discharge.
- Extracted surgical deaths and volume data (July 2022-May 2023).
- Compared POMR from paper registries, discharge info, HMIS, and DHIS2.
- Conducted qualitative interviews with 17 healthcare professionals and data officers.
Main Results:
- Reported 1-year POMR varied: 0.9% (registries), 0.9% (discharge info), 0.5% (HMIS), 0.6% (DHIS2).
- Interviews revealed regular tracking but highlighted lack of electronic systems as a barrier.
- Proposed solutions included improved data quality monitoring, training, and equipment.
Conclusions:
- Discrepancies in POMR data stem from inconsistent entry and lack of consolidated postoperative death tracking.
- A well-trained workforce and a digital record system are crucial for improving POMR data capture.
- Addressing data collection challenges is vital for effective surgical outcome monitoring.
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