Mixed methods study protocol for combining stakeholder-led rapid evaluation with near real-time continuous registry data to facilitate evaluations of quality of care in intensive care units [version 1; peer review: awaiting peer review]

BACKGROUND: Improved access to healthcare in low- and middle-income countries (LMICs) has not equated to improved health outcomes. Absence or unsustained quality of care is partly to blame. Improving outcomes in intensive care units (ICUs) requires delivery of complex interventions by multiple specialties working in concert, and the simultaneous prevention of avoidable harms associated with the illness and the treatment interventions. Therefore, successful design and implementation of improvement interventions requires understanding of the behavioural, organisational, and external factors that determine care delivery and the likelihood of achieving sustained improvement. We aim to identify care processes that contribute to suboptimal clinical outcomes in ICUs located in LMICs and to establish barriers and enablers for improving the care processes. METHODS: Using rapid evaluation methods, we will use four data collection methods: 1) registry embedded indicators to assess quality of care processes and their associated outcomes; 2) process mapping to provide a preliminary framework to understand gaps between current and desired care practices; 3) structured observations of processes of interest identified from the process mapping and; 4) focus group discussions with stakeholders to identify barriers and enablers influencing the gap between current and desired care practices. We will also collect self-assessments of readiness for quality improvement. Data collection and analysis will be performed in parallel and through an iterative process across eight countries: Kenya, India, Malaysia, Nepal, Pakistan, South Africa, Uganda and Vietnam. CONCLUSIONS: The results of our study will provide essential information on where and how care processes can be improved to facilitate better quality of care to critically ill patients in LMICs; thus, reduce preventable mortality and morbidity in ICUs. Furthermore, understanding the rapid evaluation methods that will be used for this study will allow other researchers and healthcare professionals to carry out similar research in ICUs and other health services

Global outbreak research: harmony not hegemony

No abstract available

Epidemiology, clinical characteristics, and Outcomes of 4546 Adult Admissions to High-Dependency and ICUs in Kenya: A multicenter registry-based observational study.

OBJECTIVES: To describe clinical, management, and outcome features of critically ill patients admitted to ICUs and high-dependency units (HDUs) in Kenya. DESIGN: Prospective registry-based observational study. SETTING: Three HDUs and eight ICUs in Kenya. PATIENTS: Consecutive adult patients admitted between January 2021 and June 2022. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Data were entered in a cloudbased platform using a common data model. Study endpoints included casemix variables, management features, and patient-centered outcomes. Patients with COVID-19 were reported separately. Of the 3892 of 4546 patients without COVID-19, 2445 patients (62.8%) were from HDUs, and 1447 patients (37.2%) were from ICUs. Patients had a median age of 53 years (interquartile range [IQR] 38–68), with HDU patients being older but with a lower severity (Acute Physiology and Chronic Health Evaluation II 6 [3–9] in HDUs vs. 12 [7–17] in ICUs; p \u3c 0.001). One in four patients was postoperative with 604 (63.4%) receiving emergency surgery. Readmission rate was 4.8%. Hypertension and diabetes were prevalent comorbidities, with a 4.0% HIV/AIDS rate. Invasive mechanical ventilation was applied in 3.4% in HDUs versus 47.6% in ICUs (p \u3c 0.001), with a duration of 7 days (IQR 3–21). There was a similar use of renal replacement therapy (4.0% vs. 4.7%; p \u3c 0.001). Vasopressor use was infrequent while half of patients received antibiotics. Average length of stay was 2 days (IQR 1–5). Crude HDU mortality rate was 6.5% in HDUs versus 30.5% in the ICUs (p \u3c 0.001). Of the 654 COVID-19 admissions, most were admitted in ICUs (72.3%) with a 33.2% mortality. CONCLUSIONS: We provide the first multicenter observational cohort study from an African ICU National Registry. Distinct management features and outcomes characterize HDU from ICU patients

A national survey of critical care services in hospitals accredited for training in a lower-middle income country: Pakistan

Purpose: To describe the extent and variation of critical care services in Pakistan. Materials and methods: A cross-sectional survey was conducted in all intensive care units (ICUs) recognised for postgraduate training to determine administration, infrastructure, equipment, staffing, and training. Results: There were 151 hospitals recognised for training, providing 2166 ICU beds and 1473 ventilators. Regional distribution of ICU beds per 100,000 population ranged from 1.0 in Sindh to none in Gilgit Baltistan (median 0.7). A senior clinician trained in critical care was available in 19 (12.1%) of units. One-to-one nurse-to-bed ratio during the day was available in 84 (53.5%) of units, dropping to 75 (47.8%) at night. Availability of 1:1 nursing also varied between provinces, ranging from 56.5% in Punjab compared to 0% in Azad Jamu Kashmir. Similarly, there was disparity in the availability of ventilators between provinces. All ICUs had basic infrastructure (electricity, running water, piped oxygen) and basic equipment (electronic monitoring and infusion pumps). Conclusion: Pakistan, a lower middle-income country, has an established network of critical care facilities with access to basic equipment, but inequalities in its distribution. Investment in critical care training for doctors and nurses is needed

Quality evaluation and future priorities for delivering acute myocardial infarction care in Sri Lanka

Aim: This study evaluates the quality of care for patients admitted with acute myocardial infarction (AMI) in a tertiary hospital in Colombo using the European Society of Cardiology Quality of Care Working Group’s guidelines (2017). Methods: A recently implemented electronic AMI registry m-Health tool was used for prospective data collection. Each patient was assessed for eligibility for each of the six domains of quality. Global Registry of Acute Coronary Events Risk Model for predicted probability of mortality, and scores for risk of bleeding complications (CRUSADE) and severity of heart failure (Killip classification) were calculated as per published guidelines. A composite measure of quality was derived from compliance with the six domains. Patients were followed up via telephone at 30 days following discharge to evaluate outcome and satisfaction. Organisational information was assessed by administrative review and interview. Results: Between March 2017 and April 2018, 934 patients with AMI presented to the cardiology department. The majority of patients (90.4%) presented with features of ST-elevation myocardial infarction (STEMI). Mean (SD) overall compliance with the composite quality indicator (CQI) was 44% (0.07). Compliance of ≥50% to the CQI was achieved in 9.8% of STEMI patients. The highest compliance was observed for antithrombotics during hospitalisation (79.1%) and continuous measure of patient satisfaction (76.1%). The lowest compliance was for organisational structure and care processes (22.4%). Conclusion: This study reports a registry-based continuous evaluation of the quality of AMI care from a low and middle-income country. Priorities for improvement include improved referral, and networking of primary and secondary health facilities with the percutaneous coronary intervention centre

Quality evaluation and future priorities for delivering acute myocardial infarction care in Sri Lanka

Aim: This study evaluates the quality of care for patients admitted with acute myocardial infarction (AMI) in a tertiary hospital in Colombo using the European Society of Cardiology Quality of Care Working Group's guidelines (2017). Methods: A recently implemented electronic AMI registry m-Health tool was used for prospective data collection. Each patient was assessed for eligibility for each of the six domains of quality. Global Registry of Acute Coronary Events Risk Model for predicted probability of mortality, and scores for risk of bleeding complications (CRUSADE) and severity of heart failure (Killip classification) were calculated as per published guidelines. A composite measure of quality was derived from compliance with the six domains. Patients were followed up via telephone at 30 days following discharge to evaluate outcome and satisfaction. Organisational information was assessed by administrative review and interview. Results: Between March 2017 and April 2018, 934 patients with AMI presented to the cardiology department. The majority of patients (90.4%) presented with features of ST-elevation myocardial infarction (STEMI). Mean (SD) overall compliance with the composite quality indicator (CQI) was 44% (0.07). Compliance of ≥50% to the CQI was achieved in 9.8% of STEMI patients. The highest compliance was observed for antithrombotics during hospitalisation (79.1%) and continuous measure of patient satisfaction (76.1%). The lowest compliance was for organisational structure and care processes (22.4%). Conclusion: This study reports a registry-based continuous evaluation of the quality of AMI care from a low and middle-income country. Priorities for improvement include improved referral, and networking of primary and secondary health facilities with the percutaneous coronary intervention centre

Mixed methods study protocol for combining stakeholder-led rapid evaluation with near real-time continuous registry data to facilitate evaluations of quality of care in intensive care units

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An international observational study to assess the impact of the Omicron variant emergence on the clinical epidemiology of COVID-19 in hospitalised patients

Background: Whilst timely clinical characterisation of infections caused by novel SARS-CoV-2 variants is necessary for evidence-based policy response, individual-level data on infecting variants are typically only available for a minority of patients and settings. Methods: Here, we propose an innovative approach to study changes in COVID-19 hospital presentation and outcomes after the Omicron variant emergence using publicly available population-level data on variant relative frequency to infer SARS-CoV-2 variants likely responsible for clinical cases. We apply this method to data collected by a large international clinical consortium before and after the emergence of the Omicron variant in different countries. Results: Our analysis, that includes more than 100,000 patients from 28 countries, suggests that in many settings patients hospitalised with Omicron variant infection less often presented with commonly reported symptoms compared to patients infected with pre-Omicron variants. Patients with COVID-19 admitted to hospital after Omicron variant emergence had lower mortality compared to patients admitted during the period when Omicron variant was responsible for only a minority of infections (odds ratio in a mixed-effects logistic regression adjusted for likely confounders, 0.67 [95% confidence interval 0.61-0.75]). Qualitatively similar findings were observed in sensitivity analyses with different assumptions on population-level Omicron variant relative frequencies, and in analyses using available individual-level data on infecting variant for a subset of the study population. Conclusions: Although clinical studies with matching viral genomic information should remain a priority, our approach combining publicly available data on variant frequency and a multi-country clinical characterisation dataset with more than 100,000 records allowed analysis of data from a wide range of settings and novel insights on real-world heterogeneity of COVID-19 presentation and clinical outcome