Development of Intensive Care in Low-Resource Regions

Pattern of disease and determinants of mortality among ICU patients on mechanical ventilator in Sub-Saharan Africa: a multilevel analysis

BACKGROUND

The global mortality rate of patients with MV is very high, despite a significant variation worldwide. Previous studies conducted in Sub-Saharan Africa among ICU patients focused on the pattern of admission and the incidence of mortality. However, the body of evidence on the clinical outcomes among patients with MV is still uncertain.

OBJECTIVE

The objective of this study was to investigate the pattern of disease and determinants of mortality among patients receiving mechanical ventilation in Southern Ethiopia.

METHODS

Six hundred and thirty patients on mechanical ventilation were followed for 28 days, and multilevel analysis was used to account for the clustering effect of ICU care in the region.

RESULTS

The incidence of 28-day mortality among patients with MV was 49% (95% CI: 36-58). The multilevel multivariate analysis revealed that being diabetic, having GSC < 8, and night time admission (AOR = 7.4; 95% CI: 2.96-18.38), (AOR = 5.9; (5% CI: 3.23, 10.69), and (AOR = 2.5; 95% CI: 1.24, 5.05) were predictors.

CONCLUSION

The higher 28-day mortality among ICU patients on mechanical ventilation in our study might be attributed to factors such as delayed patient presentation, lack of resources, insufficient healthcare infrastructure, lack of trained staff, and financial constraints.

TRIAL REGISTRATION

The protocol was registered retrospectively on ( NCT05303831 ).

Survival and predictors of mortality among patients admitted to the intensive care units in southern Ethiopia: A multi-center cohort study

BACKGROUND

The burden of life-threatening conditions requiring intensive care units has grown substantially in low-income countries related to an emerging pandemic, urbanization, and hospital expansion. The rate of ICU mortality varied from region to region in Ethiopia. However, the body of evidence on ICU mortality and its predictors is uncertain. This study was designed to investigate the pattern of disease and predictors of mortality in Southern Ethiopia.

METHODS

After obtaining ethical clearance from the Institutional Review Board (IRB), a multi-center cohort study was conducted among three teaching referral hospital ICUs in Ethiopia from June 2018 to May 2020. Five hundred and seventeen Adult ICU patients were selected. Data were entered in Statistical Package for Social Sciences version 22 and STATA version 16 for analysis. Descriptive statistics were run to see the overall distribution of the variables. Chi-square test and odds ratio were determined to identify the association between independent and dependent variables. Multivariate analysis was conducted to control possible confounders and identify independent predictors of ICU mortality.

RESULTS

The mean (±SD) of the patients admitted in ICU was 34.25(±5.25). The overall ICU mortality rate was 46.8%. The study identified different independent predictors of mortality. Patients with cardiac arrest were approximately 12 times more likely to die as compared to those who didn't, AOR = 11.9(95% CI:6.1 to 23.2).

CONCLUSION

The overall mortality rate in ICU was very high as compared to other studies in Ethiopia as well as globally which entails a rigorous activity from different stakeholders.

A Framework for Assessing Healthcare Facilities in Low-Resource Settings: Field Studies in Benin and Uganda

Purpose

The aim of this paper is to present and validate a framework for assessing healthcare facilities in low-resource settings to collect evidence and inform policies on the harmonisation, regulation and contextualised design of medical devices.

Methods

A literature review and focus groups with several experts of medical device design, clinical engineering, health technology assessment and management, allowed the creation of a protocol, comprising two parts: a semi-structured interview and electrical safety measures.

Results

Three hospitals were assessed in Benin and three in Uganda. All the health centres resulted to be facing typical challenges for low-resource settings, including the lack of funding, expertise, a well-established maintenance program, spare parts and consumables, and unreliable power supplies.

Conclusion

As there is a paucity of information regarding low-resource settings, the proposed framework can be used by clinical or biomedical engineers to assess and thereby propose actions for improving the conditions of healthcare settings.