Organisation, staffing and resources of critical care units in Kenya.

OBJECTIVE: To describe the organisation, staffing patterns and resources available in critical care units in Kenya. The secondary objective was to explore variations between units in the public and private sectors. MATERIALS AND METHODS: An online cross-sectional survey was used to collect data on organisational characteristics (model of care, type of unit, quality- related activities, use of electronic medical records and participation in the national ICU registry), staffing and available resources for monitoring, ventilation and general critical care. RESULTS: The survey included 60 of 75 identified units (80% response rate), with 43% (n = 23) located in government facilities. A total of 598 critical care beds were reported with a median of 6 beds (interquartile range [IQR] 5-11) per unit, with 26% beds (n = 157) being non functional. The proportion of ICU beds to total hospital beds was 3.8% (IQR 1.9-10.4). Most of the units (80%, n = 48) were mixed/general units with an open model of care (60%, n = 36). Consultants-in-charge were mainly anesthesiologists (69%, n = 37). The nurse-to-bed ratio was predominantly 1:2 with half of the nurses formally trained in critical care. Most units (83%, n = 47) had a dedicated ventilator for each bed, however 63% (n = 39) lacked high flow nasal therapy. While basic multiparametric monitoring was ubiquitous, invasive blood pressure measurement capacity was low (3% of beds, IQR 0-81%), and capnography moderate (31% of beds, IQR 0-77%). Blood gas analysers were widely available (93%, n = 56), with 80% reported as functional. Differences between the public and private sector were narrow. CONCLUSION: This study shows an established critical care network in Kenya, in terms of staffing density, availability of basic monitoring and ventilation resources. The public and private sector are equally represented albeit with modest differences. Potential areas for improvement include training, use of invasive blood pressure and functionality of blood gas analysers.

PRICE COVID19 Data Report December 2021 Pakistan Registry of Intensive Care

Pakistan Registry of Intensive Care (PRICE) is a platform that has enabled standardized COVID-19 clinical data collection based on ISARIC/WHO Clinical Characterization Protocol. The near real-time data platform includes epidemiology, severity of illness, microbiology, treatment and outcomes of patients admitted with suspected or laboratory confirmed COVID19 infection to 67 intensive care and high dependency units across the country. Data has been extracted and analysed at regular intervals to inform stakeholders and improve care practices. This is our 28th report including all patients with suspected or confirmed COVID-19 from 26th March 2020 to 26th December 2021. Key findings from 8624 patients who met eligibility criteria, are as follows: Median age of 60 years (IQR 50-70). The most common symptoms were shortness of breath (n = 6428, 77.8%), fever (n = 6091, 73.8%), and Cough (n = 3354, 38.9%) The most common comorbidity was hypertension followed by diabetes. During the course of illness 2804 (32.6%) patients received non-invasive ventilation, whereas 2474 (28.8%) patients had mechanical ventilation as their highest organ support. In addition, 2246 (26.1%) patients needed haemodynamic support and 1249 (14.7%) patients required renal replacement therapy as their highest organ support. Median APACHE II score was 18 Overall mortality at ICU discharge was 39.2% Increasing age and requirement for invasive mechanical ventilation were independent risk factors for mortality increased the risk of death