Development of a set of indicators for measuring and improving quality of rehabilitation care after ischemic stroke

MC De Cola, A Ielo, F Corallo, S Pollina Addario… - Healthcare, 2023 - mdpi.com
Stroke is the leading global cause of permanent disability and the second leading cause of
dementia within the first year of the event. Systematic quality improvement interventions …

[HTML][HTML] Demographic Data in the Built Environment and Human Health Studies

H Wang, LG Tassinary - 2023 - intechopen.com
Demographic data is widely used in both built environment and population health studies.
Traditional data sources include national, state, and local surveys as well as archived data …

Development and validation of thromboembolism diagnostic algorithms in children with cancer from real-world data

U Athale, J Halton, A Gayowsky, AKC Chan… - Pediatric Research, 2024 - nature.com
Objective To evaluate the accuracy of diagnostic algorithms developed using the
International Classification of Diseases (ICD-9-CM and ICD-10-CA) diagnostic codes and …

Real-world evidence of Aripiprazole tablets with sensor: treatment patterns and impacts on psychiatric Healthcare resource utilization

D Hadzi Boskovic, S Liang, P Parab… - ClinicoEconomics …, 2023 - Taylor & Francis
Purpose Maintaining adherence to antipsychotic (AP) medication is often challenging.
Aripiprazole tablets with sensor (AS) contain an ingestible event marker and communicate …

Finding pediatric thromboembolism: needles in a big data haystack

K Blankenhorn, WB Mitchell - Pediatric Research, 2024 - nature.com
Thromboembolism is rare in healthy pediatric patients, but it is an increasing problem in
children with underlying medical conditions such as cancer. The increase in childhood …

OCEANIA: real-world study of ovarian cancer treatment patterns across multiple lines of therapy in Argentina and Brazil

C Soares, G Abreu, TL Nogueira da Silva… - Future …, 2024 - Taylor & Francis
Aim: To evaluate real-world data on treatment patterns in Argentina and Brazil in patients
with ovarian cancer. Methods: This study evaluated de-identified antineoplastic exposure …

Advanced Analytics and Machine Learning Algorithms for Healthcare Decision Support Systems: A Study

K Sarvakar, R Yadav, A Patel, CD Patel… - … and Data Management …, 2024 - igi-global.com
Healthcare CDSS uses machine learning and analytics for real-time insights, risk
projections, and decision support. The chapter covers CDSS development, deployment, and …

What can administrative data tell us about the impact of family structure on child health?

I Lut - 2024 - discovery.ucl.ac.uk
Background: Research suggests children in single-parent families have poorer health
outcomes than children with coupled parents. The evidence base is limited by unclear and …

Kidney and Blood Pressure Outcomes 11 Years After Acute Kidney Injury in Critically Ill Children: A Prospective Cohort Study

EH Ulrich, M Yordanova, CJ Morgan, K Benisty… - 2024 - researchsquare.com
Background: Acute kidney injury (AKI) is common in critically ill children and associated with
adverse short-term outcomes; however, long-term outcomes are not well described …

Application of Targeted Maximum Likelihood Estimation using Varying Lookback Windows in Pharmacoepidemiology

R Akter - 2024 - escholarship.mcgill.ca
In observational research, confounding control is critical to appropriate inference. In the field
of pharmacoepidemiology, determining the appropriate lookback period is essential as it …