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| Name | Class |
|---|---|
| University of British Columbia | OTHER |
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In the developed world critical illness is routinely treated in an intensive care unit (ICU) by highly specialized physicians, nurses and support staff. This model of intensive care is spreading rapidly to low and middle income countries and as it spreads, challenges and limitations to this model arise. In resource-poor settings, inadequate human resources, training, and equipment all present barriers to safe and effective use of life-saving procedures. The advances in medical informatics and human factors engineering have provided tremendous opportunity for novel and user-friendly clinical decision support (CDS) tools that can be applied in a complex and busy hospital setting. Real-time data feeds and standardized patient care tasks in a simulated acute care environment have been proven to have a significant advantage of a novel interface (compared to a conventional) in reducing provider cognitive load and errors. Currently researchers within the investigator's research group have developed and are pilot testing a simple electronic decision support tool: CERTAIN (Checklist for Early Recognition and Treatment of Acute Illness). This tool has been successfully tested and validated in simulated settings and is being implemented as pilot study in 18 countries. Worldwide infant and early childhood mortality continues to be very high partly due to the inability to recognize and respond aggressively to critical illnesses. Investigators expect that adaptation of the algorithms from CERTAIN has potential to be a powerful tool to improve on the medical care of children in developing countries. Investigators aim in this project is 1) to develop a pediatric adaptation of CERTAIN (CERTAINp) and 2) to implement it into clinical practice in resource-poor settings and evaluate the impact of the tool on the processes and patient outcomes.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Baseline | No Intervention | Baseline data collection ( 20 patients per ICU) | |
| Checklist | Experimental | This study is about training and implementation of best critical care practices in the international ICUs with variable resources facilitated by access to a specifically designed electronic checklist 40 patients per ICU |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Clinical decision support tool | Other |
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| Measure | Description | Time Frame |
|---|---|---|
| ICU and hospital lengths of stay | Patient will be followed till they get discharged from hospital for whatever length they stay | Participants will be followed for the duration of hospital stay, an expected average of 8 weeks |
| Measure | Description | Time Frame |
|---|---|---|
| Adherence to best critical care practices as measured by composite measures of best practice guidelines. | Adherence to best practice in initial evaluation and treatment of critically ill medical and surgical patients Appropriate shock resuscitation Appropriate sepsis treatment Appropriate mechanical ventilation Appropriate peptic ulcer, deep vein thrombosis and infectious disease prophylaxis. For example Number of patients managed with 100% compliance with sepsis guidelines ( included in the standard operating procedures)/ Number of eligible patients admitted in the time period . |
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Inclusion Criteria:
Exclusion Criteria:
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Bao'an Maternity & Child Health Hospital | Shenzhen | Guangdong | China | |||
| Chengdu 2nd Hospital |
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| ID | Term |
|---|---|
| D016638 | Critical Illness |
| D018805 | Sepsis |
| D012131 | Respiratory Insufficiency |
| D012769 | Shock |
| D006470 | Hemorrhage |
| ID | Term |
|---|---|
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D007239 | Infections |
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| ID | Term |
|---|---|
| D057189 | Checklist |
| ID | Term |
|---|---|
| D003625 | Data Collection |
| D017531 | Health Care Evaluation Mechanisms |
| D011787 | Quality of Health Care |
| D017530 | Health Care Quality, Access, and Evaluation |
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| Participants will be followed for the duration of ICU stay, an expected average of 2 weeks |
| Chengdu |
| Sichuan |
| China |
| Chengdu Women & Children's Central Hospital | Chengdu | Sichuan | China |
| West China Hospital | Chengdu | Sichuan | China |
| Shanghai Childrens' Medical Center | Shanghai | China |
| University Hospital of Split | Split | Croatia |
| Fiji National University | Samabula | Fiji |
| JSS hospital | Mysore | Karnataka | India |
| Instituto Nacional de Salud del Niño | Lima | Peru |
| Centre Medical Evangelique-Nyankunde | Nyankunde | Eastern Province | Republic of the Congo |
| D018746 | Systemic Inflammatory Response Syndrome |
| D007249 | Inflammation |
| D012120 | Respiration Disorders |
| D012140 | Respiratory Tract Diseases |