Predicting unplanned hospitalisations in older adults using routinely recorded general practice data
CONCLUSION: Our models showed satisfactory predictive ability. Reducing the number of predictors and geographic validation did not impact predictive performance, demonstrating the robustness of the model. We developed an easy-to-use tool that may assist general practitioners in decision-making and targeted preventive interventions.PMID:38724188 | DOI:10.3399/BJGP.2023.0350 (Source: The British Journal of General Practice)
Source: The British Journal of General Practice - May 9, 2024 Category: Primary Care Authors: Jet Klunder Martijn W Heymans Iris van der Heide Robert Verheij Otto R Maarsingh Hein P J van Hout Karlijn J Joling Source Type: research

Healthcare utilization patterns of individuals with depression after national policy to increase the mental health workforce in primary care: a data linkage study
CONCLUSION: Individuals receiving care at a general practice with a higher degree of mental health nurse deployment have lower odds of being treated by mental healthcare providers in other healthcare settings. More research is needed to evaluate to what extent substitution of care from specialized mental healthcare towards general practices might be associated with waiting times for specialized mental healthcare.PMID:38720260 | PMC:PMC11077842 | DOI:10.1186/s12875-024-02402-8 (Source: Primary Care)
Source: Primary Care - May 9, 2024 Category: Primary Care Authors: Jesper T Dros Christel E van Dijk Koen B E B öcker Lotte C J A F Bruins Slot Robert A Verheij Bert R Meijboom Jan-Willem Dik Isabelle Bos Source Type: research

Association of Patient Portal Messaging with Survival Among Radiation Oncology Patients
CONCLUSIONS: Sending portal messages to and being sent portal messages from radiation oncology providers were associated with better survival. Future studies should elucidate how best to support patient and provider engagement.PMID:38723754 | DOI:10.1016/j.ijrobp.2024.05.003 (Source: Health Physics)
Source: Health Physics - May 9, 2024 Category: Physics Authors: Jes Alexander Alexis Beatty Source Type: research

Development and implementation of local pediatric anesthesia performance metrics at a Canadian children's hospital: a technical report
CONCLUSION: We introduced and implemented customized pediatric anesthesia metrics within an academic pediatric hospital; however, this framework is easily adaptable across multiple clinical specialties and institutions. In harnessing data-collecting and reporting properties of EHR, the metrics we describe provide insights that facilitate real-time monitoring and foster a culture of continuous learning in line with strategic goals of high-reliability organizations.PMID:38724871 | DOI:10.1007/s12630-024-02763-9 (Source: Canadian Journal of Anaesthesia)
Source: Canadian Journal of Anaesthesia - May 9, 2024 Category: Anesthesiology Authors: Conor Mc Donnell Casey Li Clyde Matava Source Type: research

Development and Validation of an Automated, Real-Time Predictive Model for Postpartum Hemorrhage
CONCLUSION: We created and temporally validated a postpartum hemorrhage prediction model, demonstrated its superior performance over a commonly used risk prediction tool, successfully coded the model into the EHR, and prospectively validated the model using risk factor data collected in real time. Future work should evaluate external generalizability and effects on patient outcomes; to facilitate this work, we have included the model coefficients and examples of EHR integration in the article.PMID:38723260 | DOI:10.1097/AOG.0000000000005600 (Source: Obstetrics and Gynecology)
Source: Obstetrics and Gynecology - May 9, 2024 Category: OBGYN Authors: Holly B Ende Henry J Domenico Aleksandra Polic Amber Wesoloski Lisa C Zuckerwise Allison B Mccoy Annastacia R Woytash Ryan P Moore Daniel W Byrne Source Type: research

Predicting unplanned hospitalisations in older adults using routinely recorded general practice data
CONCLUSION: Our models showed satisfactory predictive ability. Reducing the number of predictors and geographic validation did not impact predictive performance, demonstrating the robustness of the model. We developed an easy-to-use tool that may assist general practitioners in decision-making and targeted preventive interventions.PMID:38724188 | DOI:10.3399/BJGP.2023.0350 (Source: The British Journal of General Practice)
Source: The British Journal of General Practice - May 9, 2024 Category: Primary Care Authors: Jet Klunder Martijn W Heymans Iris van der Heide Robert Verheij Otto R Maarsingh Hein P J van Hout Karlijn J Joling Source Type: research

Development and implementation of local pediatric anesthesia performance metrics at a Canadian children's hospital: a technical report
CONCLUSION: We introduced and implemented customized pediatric anesthesia metrics within an academic pediatric hospital; however, this framework is easily adaptable across multiple clinical specialties and institutions. In harnessing data-collecting and reporting properties of EHR, the metrics we describe provide insights that facilitate real-time monitoring and foster a culture of continuous learning in line with strategic goals of high-reliability organizations.PMID:38724871 | DOI:10.1007/s12630-024-02763-9 (Source: Canadian Journal of Anaesthesia)
Source: Canadian Journal of Anaesthesia - May 9, 2024 Category: Anesthesiology Authors: Conor Mc Donnell Casey Li Clyde Matava Source Type: research

Development and Validation of an Automated, Real-Time Predictive Model for Postpartum Hemorrhage
CONCLUSION: We created and temporally validated a postpartum hemorrhage prediction model, demonstrated its superior performance over a commonly used risk prediction tool, successfully coded the model into the EHR, and prospectively validated the model using risk factor data collected in real time. Future work should evaluate external generalizability and effects on patient outcomes; to facilitate this work, we have included the model coefficients and examples of EHR integration in the article.PMID:38723260 | DOI:10.1097/AOG.0000000000005600 (Source: Obstetrics and Gynecology)
Source: Obstetrics and Gynecology - May 9, 2024 Category: OBGYN Authors: Holly B Ende Henry J Domenico Aleksandra Polic Amber Wesoloski Lisa C Zuckerwise Allison B Mccoy Annastacia R Woytash Ryan P Moore Daniel W Byrne Source Type: research

Predicting unplanned hospitalisations in older adults using routinely recorded general practice data
CONCLUSION: Our models showed satisfactory predictive ability. Reducing the number of predictors and geographic validation did not impact predictive performance, demonstrating the robustness of the model. We developed an easy-to-use tool that may assist general practitioners in decision-making and targeted preventive interventions.PMID:38724188 | DOI:10.3399/BJGP.2023.0350 (Source: The British Journal of General Practice)
Source: The British Journal of General Practice - May 9, 2024 Category: Primary Care Authors: Jet Klunder Martijn W Heymans Iris van der Heide Robert Verheij Otto R Maarsingh Hein P J van Hout Karlijn J Joling Source Type: research

Development and implementation of local pediatric anesthesia performance metrics at a Canadian children's hospital: a technical report
CONCLUSION: We introduced and implemented customized pediatric anesthesia metrics within an academic pediatric hospital; however, this framework is easily adaptable across multiple clinical specialties and institutions. In harnessing data-collecting and reporting properties of EHR, the metrics we describe provide insights that facilitate real-time monitoring and foster a culture of continuous learning in line with strategic goals of high-reliability organizations.PMID:38724871 | DOI:10.1007/s12630-024-02763-9 (Source: Canadian Journal of Anaesthesia)
Source: Canadian Journal of Anaesthesia - May 9, 2024 Category: Anesthesiology Authors: Conor Mc Donnell Casey Li Clyde Matava Source Type: research

Predicting unplanned hospitalisations in older adults using routinely recorded general practice data
CONCLUSION: Our models showed satisfactory predictive ability. Reducing the number of predictors and geographic validation did not impact predictive performance, demonstrating the robustness of the model. We developed an easy-to-use tool that may assist general practitioners in decision-making and targeted preventive interventions.PMID:38724188 | DOI:10.3399/BJGP.2023.0350 (Source: The British Journal of General Practice)
Source: The British Journal of General Practice - May 9, 2024 Category: Primary Care Authors: Jet Klunder Martijn W Heymans Iris van der Heide Robert Verheij Otto R Maarsingh Hein P J van Hout Karlijn J Joling Source Type: research

Development and Validation of an Automated, Real-Time Predictive Model for Postpartum Hemorrhage
CONCLUSION: We created and temporally validated a postpartum hemorrhage prediction model, demonstrated its superior performance over a commonly used risk prediction tool, successfully coded the model into the EHR, and prospectively validated the model using risk factor data collected in real time. Future work should evaluate external generalizability and effects on patient outcomes; to facilitate this work, we have included the model coefficients and examples of EHR integration in the article.PMID:38723260 | DOI:10.1097/AOG.0000000000005600 (Source: Obstetrics and Gynecology)
Source: Obstetrics and Gynecology - May 9, 2024 Category: OBGYN Authors: Holly B Ende Henry J Domenico Aleksandra Polic Amber Wesoloski Lisa C Zuckerwise Allison B Mccoy Annastacia R Woytash Ryan P Moore Daniel W Byrne Source Type: research

Predicting unplanned hospitalisations in older adults using routinely recorded general practice data
CONCLUSION: Our models showed satisfactory predictive ability. Reducing the number of predictors and geographic validation did not impact predictive performance, demonstrating the robustness of the model. We developed an easy-to-use tool that may assist general practitioners in decision-making and targeted preventive interventions.PMID:38724188 | DOI:10.3399/BJGP.2023.0350 (Source: The British Journal of General Practice)
Source: The British Journal of General Practice - May 9, 2024 Category: Primary Care Authors: Jet Klunder Martijn W Heymans Iris van der Heide Robert Verheij Otto R Maarsingh Hein P J van Hout Karlijn J Joling Source Type: research

Predicting unplanned hospitalisations in older adults using routinely recorded general practice data
CONCLUSION: Our models showed satisfactory predictive ability. Reducing the number of predictors and geographic validation did not impact predictive performance, demonstrating the robustness of the model. We developed an easy-to-use tool that may assist general practitioners in decision-making and targeted preventive interventions.PMID:38724188 | DOI:10.3399/BJGP.2023.0350 (Source: The British Journal of General Practice)
Source: The British Journal of General Practice - May 9, 2024 Category: Primary Care Authors: Jet Klunder Martijn W Heymans Iris van der Heide Robert Verheij Otto R Maarsingh Hein P J van Hout Karlijn J Joling Source Type: research

Socioeconomic disparities in diet and physical activity in children: evidence from well-child visit electronic health records in the Canary Islands, Spain
Conclusion HH followed a socioeconomic gradient at the individual and the neighbourhood level. In the study population, the geographical component of the inequalities found were low. (Source: Journal of Epidemiology and Community Health)
Source: Journal of Epidemiology and Community Health - May 9, 2024 Category: Epidemiology Authors: Rodriguez-Mireles, S., Lopez-Valcarcel, B. G., Galdos-Arias, P., Perez-Diaz, E., Serra-Majem, L. Tags: Open access Original research Source Type: research