Implementing an intensive care registry in India: preliminary results of the case-mix program and an opportunity for quality improvement and research.

Background: The epidemiology of critical illness in India is distinct from high-income countries. However, limited data exist on resource availability, staffing patterns, case-mix and outcomes from critical illness. Critical care registries, by enabling a continual evaluation of service provision, epidemiology, resource availability and quality, can bridge these gaps in information. In January 2019, we established the Indian Registry of IntenSive care to map capacity and describe case-mix and outcomes. In this report, we describe the implementation process, preliminary results, opportunities for improvement, challenges and future directions. Methods: All adult and paediatric ICUs in India were eligible to join if they committed to entering data for ICU admissions. Data are collected by a designated representative through the electronic data collection platform of the registry. IRIS hosts data on a secure cloud-based server and access to the data is restricted to designated personnel and is protected with standard firewall and a valid secure socket layer (SSL) certificate. Each participating ICU owns and has access to its own data. All participating units have access to de-identified network-wide aggregate data which enables benchmarking and comparison. Results: The registry currently includes 14 adult and 1 paediatric ICU in the network (232 adult ICU beds and 9 paediatric ICU beds). There have been 8721 patient encounters with a mean age of 56.9 (SD 18.9); 61.4% of patients were male and admissions to participating ICUs were predominantly unplanned (87.5%). At admission, most patients (61.5%) received antibiotics, 17.3% needed vasopressors, and 23.7% were mechanically ventilated. Mortality for the entire cohort was 9%.  Data availability for demographics, clinical parameters, and indicators of admission severity was greater than 95%. Conclusions: IRIS represents a successful model for the continual evaluation of critical illness epidemiology in India and provides a framework for the deployment of multi-centre quality improvement and context-relevant clinical research.

[1]  Herman Goossens,et al.  The Randomized Embedded Multifactorial Adaptive Platform for Community-acquired Pneumonia (REMAP CAP) study: rationale and design , 2020 .

[2]  A. Dondorp,et al.  Pakistan Registry of Intensive CarE (PRICE): Expanding a lower middle-income, clinician-designed critical care registry in South Asia , 2018, Journal of the Intensive Care Society.

[3]  N. D. de Keizer,et al.  To: The Epimed Monitor ICU Database®: a cloud-based national registry for adult intensive care unit patients in Brazil , 2018, Revista Brasileira de terapia intensiva.

[4]  M. Soares,et al.  The Epimed Monitor ICU Database®: a cloud-based national registry for adult intensive care unit patients in Brazil , 2017, Revista Brasileira de terapia intensiva.

[5]  F. Kapadia,et al.  Intensive Care in India: The Indian Intensive Care Case Mix and Practice Patterns Study , 2016, Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine.

[6]  J. Zimmerman,et al.  Acute Physiology and Chronic Health Evaluation (APACHE) IV: Hospital mortality assessment for today’s critically ill patients* , 2006, Critical care medicine.

[7]  Jack V Tu,et al.  Impracticability of informed consent in the Registry of the Canadian Stroke Network. , 2004, The New England journal of medicine.

[8]  Kevin Donnelly,et al.  SNOMED-CT: The advanced terminology and coding system for eHealth. , 2006, Studies in health technology and informatics.