Find research datasets worth reusing

Factors Affecting Mortality in Critical Patients Admitted to Intensive Care Unit Due to Coronavirus Disease 2019

ClinicalTrials.gov study NCT04659876. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.

Mobile Critical Care Recovery Program for Acute Respiratory Failure Survivors

ClinicalTrials.gov study NCT03053245. IPD Sharing: NO. Countries: 1. Publications: 3.

Study of Biotene OralBalance Gel for Oral Care in Critically-Ill Mechanically Ventilated Neonates

ClinicalTrials.gov study NCT01314742. IPD Sharing: NO. Countries: 1. Publications: 6.

Safe Critical Care: Testing Improvement Strategies

ClinicalTrials.gov study NCT00975923. IPD Sharing: Not stated. Countries: 1. Publications: 5.

Variability in Transcranial Doppler Technique in Neuro-Critical Care Patients

ClinicalTrials.gov study NCT04583163. IPD Sharing: UNDECIDED. Countries: 1. Publications: 11.

Rehabilitation Practices in Critically Ill Patients Receiving Invasive Mechanical Ventilation in the Intensive Care Unit.

ClinicalTrials.gov study NCT07093125. IPD Sharing: NO. Countries: 1. Publications: 8.

Impact on Mental, Physical, And Cognitive Functioning of a Critical Care sTay During the COVID-19 Pandemic

ClinicalTrials.gov study NCT04979897. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.

Use of Nudges To Enhance Enrollment in Critical Care Research

ClinicalTrials.gov study NCT03284359. IPD Sharing: NO. Countries: 1. Publications: 1.

controlledIPD-YESFeb 2026View details →

Surgical Critical Care Initiative (SC2i) Tissue and Data Acquisition Protocol (TDAP) in Burn Patients Improving the Robustness and Generalizability of Post-burn Sepsis Prediction With the Post-Burn Se

ClinicalTrials.gov study NCT07249762. IPD Sharing: YES. Countries: 1. Publications: 11.

Speech-to-speech Voice-cloning Care (SVCC) to Improve ICU-acquired Anxiety for Critically Ill Patients

ClinicalTrials.gov study NCT06743321. IPD Sharing: NO. Countries: 1. Publications: 11.

The Use of the GlideScope Ranger in Pediatric Critical Care Transport

ClinicalTrials.gov study NCT01054183. IPD Sharing: Not stated. Countries: 1. Publications: 8.

opencc-zeroDec 2020View details →

Development of Data Dictionary for neonatal intensive care unit: advancement towards a better critical care unit

Background: Critical care units (CCUs) with wide use of various monitoring devices generate massive data. To utilize the valuable information of these devices; data are collected and stored using systems like Clinical Information System (CIS), Laboratory Information Management System (LIMS), etc. These systems are proprietary in nature, allow limited access to their database and have vendor specific clinical implementation. In this study we focus on developing an open source web-based meta-data repository for CCU representing stay of patient with relevant details. Methods: After developing the web-based open source repository we analyzed prospective data from two sites for four months for data quality dimensions (completeness, timeliness, validity, accuracy and consistency), morbidity and clinical outcomes. We used a regression model to highlight the significance of practice variations linked with various quality indicators. Results: Data dictionary (DD) with 1447 fields (90.39% categorical and 9.6% text fields) is presented to cover clinical workflow of NICU. The overall quality of 1795 patient days data with respect to standard quality dimensions is 87%. The data exhibit 82% completeness, 97% accuracy, 91% timeliness and 94% validity in terms of representing CCU processes. The data scores only 67% in terms of consistency. Furthermore, quality indicator and practice variations are strongly correlated (p-value < 0.05). Results: Data dictionary (DD) with 1555 fields (89.6% categorical and 11.4% text fields) is presented to cover clinical workflow of a CCU. The overall quality of 1795 patient days data with respect to standard quality dimensions is 87%. The data exhibit 82% completeness, 97% accuracy, 91% timeliness and 94% validity in terms of representing CCU processes. The data scores only 67% in terms of consistency. Furthermore, quality indicators and practice variations are strongly correlated (p-value < 0.05). Conclusion: This study documents DD for standardized data collection in CCU. This provides robust data and insights for audit purposes and pathways for CCU to target practice improvements leading to specific quality improvements.

opencc-zeroDec 2014View details →

Data from: Inaccuracy of venous point-of-care glucose measurements in critically ill patients: a cross-sectional study

Introduction: Current guidelines and consensus recommend arterial and venous samples as equally acceptable for blood glucose assessment in point-of-care devices, but there is limited evidence to support this recommendation. We evaluated the accuracy of two devices for bedside point-of-care blood glucose measurements using arterial, fingerstick and catheter venous blood samples in ICU patients, and assessed which factors could impair their accuracy. Methods: 145 patients from a 41-bed adult mixed-ICU, in a tertiary care hospital were prospectively enrolled. Fingerstick, central venous (catheter) and arterial blood (indwelling catheter) samples were simultaneously collected, once per patient. Arterial measurements obtained with Precision PCx, and arterial, fingerstick and venous measurements obtained with Accu-chek Advantage II were compared to arterial central lab measurements. Agreement between point-of-care and laboratory measurements were evaluated with Bland-Altman, and multiple linear regression models were used to investigate interference of associated factors. Results: Mean difference between Accu-chek arterial samples versus central lab was 10.7 mg/dL (95% LA -21.3 to 42.7 mg/dL), and between Precision PCx versus central lab was 18.6 mg/dL (95% LA -12.6 to 49.5 mg/dL). Accu-chek fingerstick versus central lab arterial samples presented a similar bias (10.0 mg/dL) but a wider 95% LA (-31.8 to 51.8 mg/dL). Agreement between venous samples with arterial central lab was the poorest (mean bias 15.1 mg/dL; 95% LA -51.7 to 81.9). Hyperglycemia, low hematocrit, and acidosis were associated with larger differences between arterial and venous blood measurements with the two glucometers and central lab. Vasopressor administration was associated with increased error for fingerstick measurements. Conclusions: Sampling from central venous catheters should not be used for glycemic control in ICU patients. In addition, reliability of the two evaluated glucometers was insufficient. Error with Accu-chek Advantage II increases mostly with central venous samples. Hyperglycemia, lower hematocrit, acidosis, and vasopressor administration increase measurement error.

opencc-zeroDec 2016View details →

Data from: Comparing safety climate for nurses working in operating theatres, critical care and ward areas in the UK: a mixed methods study

Objectives: The main aim of the study was to explore the potential sources of variation and understand the meaning of safety climate for nursing practice in acute hospital settings in the UK. Design: A sequential mixed methods design included a cross-sectional survey using the Safety Climate Questionnaire (SCQ) and thematic analysis of focus group discussions. Confirmatory Factor Analysis (CFA) was used to validate the factor structure of the SCQ. Factor scores were compared between nurses working in operating theatres, critical care and ward areas. Results from the survey and the thematic analysis were then compared and synthesised. Setting: A London University. Participants: 319 registered nurses working in acute hospital settings completed the SCQ and a further 23 nurses participated in focus groups. Results: CFA indicated that there was a good model fit on some criteria (χ2 = 1683.699, df 824, p < 0.001; χ2/ df = 2.04; RMSEA = 0.058) but a less acceptable fit on Comparative Fit Index (CFI) = 0.804. There was a statistically significant difference between clinical specialisms in Management Commitment (F [4,266] = 4.66, p = 0.001). Nurses working in operating theatres had lower scores compared with ward areas and they also reported negative perceptions about management in their focus group. There was significant variation in scores for Communication across clinical specialism (F [4,266] = 2.62, p = 0.035) but none of the pair-wise comparisons achieved statistical significance. Thematic analysis identified themes of Human Factors, Clinical Management and Protecting Patients. The System and the Human Side of Caring was identified as a meta-theme. Conclusions: The results suggest that the SCQ has some utility but requires further exploration. The findings indicate that safety in nursing practice is a complex interaction between safety systems and the social and interpersonal aspects of clinical practice.

opencc-zeroDec 2017View details →

Data from: Development of a simple, practice-based tool to assess quality of paediatric emergency care delivery in resource-limited settings: identifying critical actions via a Delphi study

Objective: Provision of timely, high-quality care for the initial management of critically ill children in African hospitals remains a challenge. Monitoring the completion of critical actions during resuscitations can inform efforts to reduce variability and improve outcomes. We sought to develop a practice-based tool based on contextually relevant actions identified via a Delphi process. Our goal was to develop a tool that could identify gaps in care, facilitate identification of training and standardized assessment to support quality improvement efforts. Design: Six sentinel conditions were selected based on disease epidemiology and mortality at rural and urban African emergency departments. Potential critical actions were identified through focused literature review. These actions were evaluated within a three-round modified Delphi process. A set of logistical filters was applied to the candidate list to derive a practice-based tool. Setting and participants: Attendees at an international emergency medicine conference comprised an expert panel of 25 participants, with 84% working primarily in African settings. Consensus rounds allowing novel responses were conducted via online and in-person surveys. Results: The expert panel generated 199 actions that apply to six conditions in emergently ill children. Application of appropriateness criteria refined this to 92 candidate actions across seven categories: core skills, active seizure, altered mental status, diarrheal illness, febrile illness, respiratory distress, polytrauma. From these, we identified 28 actions for inclusion in a practice-based tool contextually relevant to the initial management of critically ill children in Africa. Conclusions: A group consensus process identified critical actions for severely ill children with select sentinel conditions in emergency paediatric care in an African setting. Absence of these actions during resuscitation might reflect modifiable gaps in quality of care. The resulting practice-based tool is context-relevant and can serve as a foundation for training and quality improvement efforts in African hospitals and emergency departments.