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Trauma registry data as a tool for comparison of practice patterns and outcomes between low- and middle-income and high-income healthcare settings

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Abstract

Purpose

There is a lack of data-driven, risk-adjusted mortality estimates for injured children outside of high-income countries (HIC). To inform injury prevention and quality improvement efforts, an upper middle-income country (UMIC) pediatric trauma registry was compared to that of a HIC.

Methods

Clinical data, injury details, and mortality of injured children (< 18 years) hospitalized in two centers (USA and South African (SA)) from 2013 to 2017 were abstracted. Univariate and multivariable analyses evaluated risk of mortality and were expressed as odds ratios (OR) with 95% confidence intervals (CI).

Results

Of 2089 patients, SA patients had prolonged transfer times (21.1 vs 3.4 h) and were more likely referred (78.2% vs 53.9%; both p < 0.001). Penetrating injuries were more frequent in SA (23.2% vs 7.4%, p < 0.001); injury severity (9 vs 4) and shock index (0.90 vs 0.80) were greater (both p < 0.001). SA utilized cross-sectional imaging more frequently (66.4% vs 37.3%, p < 0.001). In-hospital mortality was similar (1.9% SA, 1.3% USA, p = 0.31). Upon multivariable analysis, ISS > 25 [210.50 (66.0-671.0)] and penetrating injury [5.5 (1.3–23.3)] were associated with mortality, while institution [1.7 (0.7–4.2)] was not.

Conclusions

Despite transfer time, the centers demonstrated comparable survival rates. Comparison of registry data can alert clinicians to problematic practice patterns, assisting initiatives to improve trauma systems.

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Correspondence to Michael D. Traynor Jr..

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This research was reviewed by both the Mayo Clinic and the Biomedical Research Committee (BREC) of the University of KwaZulu-Natal and determined to be exempt from the requirement for IRB approval and informed consent (45 CFR 46.101, item 4).

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Appendix 1

Appendix 1

The definitions of low-, middle-, lower middle-, upper middle-, and high-income countries are included below. These definitions are based upon Gross National Income (GNI) per capita using the World Bank Atlas method for the 2019 fiscal year. They can be found at: https://datahelpdesk.worldbank.org/knowledgebase/articles/906519.

Classification

World Bank definition

Low income

Low-income economies are those with GNI per capita of $995 or less in 2017

Lower middle income

Lower middle-income economies are those with a GNI per capita of more than $995 but less than $3896

Middle income

Middle-income economies are those with a GNI per capita between $996 and $12,055

Upper middle income

Upper middle-income economies those with a GNI per capita of more than $3895 but less than $12,056

High income

High-income economies are those with a GNI per capita of $12,056 or more

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Traynor, M.D., Hernandez, M.C., Shariq, O. et al. Trauma registry data as a tool for comparison of practice patterns and outcomes between low- and middle-income and high-income healthcare settings. Pediatr Surg Int 35, 699–708 (2019). https://doi.org/10.1007/s00383-019-04453-w

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