Jay Mercer
Biographic Data
| ID | 5543647 |
|---|---|
| NAME | Jay Mercer |
| GIVEN NAMES | Jay |
| FAMILY NAME | Mercer |
| SIGNATURE | MERCER J |
| AFFILIATIONS | Bruyère |
| ORCID | 0000-0002-0744-7468 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2016 |
| H-INDEX | 0 |
A Comprehensive Assessment of Family Physician Gender and Quality of Care
BACKGROUND: Studies evaluating primary care quality across physician gender are limited to primary and secondary prevention. OBJECTIVES: Investigate the relationship between family physician gender and quality of primary care using indicators that cover 5 key dimensions of primary care. RESEARCH DESIGN: Cross-sectional analysis using linked health administrative datasets (April 1, 2008 to March 31, 2010). SUBJECTS: All family physicians working i…
Physician privacy concerns when disclosing patient data for public health purposes during a pandemic influenza outbreak
The uncertainty surrounding a pandemic of a new strain of influenza has not changed the privacy concerns of physicians about disclosing patient data. It is important to address these concerns to ensure reliable reporting during future outbreaks
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Physician privacy concerns when disclosing patient data for public health purposes during a pandemic influenza outbreak
The uncertainty surrounding a pandemic of a new strain of influenza has not changed the privacy concerns of physicians about disclosing patient data. It is important to address these concerns to ensure reliable reporting during future outbreaks
A Comprehensive Assessment of Family Physician Gender and Quality of Care
BACKGROUND: Studies evaluating primary care quality across physician gender are limited to primary and secondary prevention. OBJECTIVES: Investigate the relationship between family physician gender and quality of primary care using indicators that cover 5 key dimensions of primary care. RESEARCH DESIGN: Cross-sectional analysis using linked health administrative datasets (April 1, 2008 to March 31, 2010). SUBJECTS: All family physicians working i…
Family medicine (2 works) · Medicine (2 works) · Nursing (2 works) · Confidence interval (1 work) · Context (archaeology (1 work) · Coronavirus disease 2019 (COVID-19 (1 work) · Cross-sectional study (1 work) · Data-Driven Disease Surveillance (1 work) · Disease (1 work) · Diversity and Career in Medicine (1 work)