A Global Call for More Investment in Data‐Driven Perioperative Care Delivery Models in Humanitarian Settings

Mrara, Busisiwe; Oladimeji, Olanrewaju

doi:10.1007/s00268-023-06962-1

Cited by 1 publication

(1 citation statement)

References 11 publications

(7 reference statements)

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“…A robust health information system supporting the creation of a perioperative data warehouse is vital for monitoring services, adverse event detection, feedback, resource allocation, and decision-making. This highlights the importance of investing in integrated digital health information systems and data science capacity in LMICs to strengthen the ability to capture, analyze, and apply perioperative data, enabling facilities to identify care improvements, enhance quality, and promote safety culture (Mughal et al 2023 ), (Hofer et al 2016 ), (Hung et al 2020 ), (Mrara and Oladimeji 2023 ).…”

Section: Discussionmentioning

confidence: 99%

Perioperative capacity and contextual challenges in teaching hospitals of southern Ethiopia: explanatory sequential mixed-methods research

Mulugeta,

Zemedkun,

Mergia

et al. 2024

Perioper Med

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Background Previous Ethiopian literature on surgical capacity and challenges has focused on quantitative investigations, lacking contextual understanding. This explanatory sequential mixed-methods research (MMR) aimed to assess perioperative capacity and contextual challenges at three teaching hospitals in southern Ethiopia. Methods A quantitative survey assessed workforce, infrastructure, service delivery, financing, and information systems. The survey findings were explained by qualitative semi-structured interviews of twenty perioperative providers. Descriptive statistics were integrated with qualitative thematic analysis findings using the narrative waving approach. Key findings from both datasets were linked using a joint display table. Results The survey revealed shortages in the specialist workforce (with a ratio of 0.58 per 100,000 population), surgical volume (at 115 surgeries per 100,000 population), equipment, supplies, financing, and perioperative data tracking. Hospitals’ radiology services and blood products were only available 25–50% of the time, while anesthetic agents and essential laboratory services were often available 51–75% of the time. Perioperative management protocols were used rarely (1–25% of the time). Over 90% of patients lack health insurance coverage. Qualitative data also revealed scarcity of perioperative resources and equipment; unaffordable perioperative costs, lack of health insurance coverage, and unforeseen expenses; poor patient safety culture and communication barriers across the perioperative continuum of care; workforce shortages, job dissatisfaction, and concerns of competence; and weak national governance, and sociopolitical turmoil, and global market volatility exacerbating local challenges. These challenges are linked to risks in quality of care and patient safety, according to clinicians. Conclusion The study identifies deficiencies in the health system and sociopolitical landscape affecting safe surgery conduct. It highlights the need for comprehensive health system strengthening to expand workforce, upgrade facilities, improve safety culture, resilience, and leadership to ensure timely access to essential surgery. Exploring external factors, such as the impact of national governance and sociopolitical stability on reform efforts is also essential.

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