Andrew Pinto on Muck Rack

Andrew Pinto

Toronto
As seen in: Wiley Online Library, PLOS ONE, BMJ Open, BMJ Quality & Safety, MDPI, The BMJ, The Toronto Star, Archives of Public Health, JAMA (The Journal of the American Medical Association), Canadian Medical Association Journal and
Direct @upstreamlab @MAP_Health. @CIHR_IRSC Chair in Applied #PublicHealth. Assoc. Prof @UofTFamilyMed @UofT_dlsph @ihpmeuoft | #clinicaltrials #RCT | he/him
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Articles

Advancing Health Equity Through Primary Care: Protocol for the Spread, Scale, and Multimethod Developmental Evaluation of the Deep End Canada Network

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By Andrew Pinto
| Research Protocols
Background Objectives Research Questions What is the reach, effectiveness, adoption, implementation, and maintenance of the SPARK tool and other demographic and social needs data collection efforts in primary health care settings across Canada? What factors influence the use of social needs data to advance individual-, organizational-, and policy-level interventions addressing social determinants of health for clinics part of Deep End Canada?
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Trends in health literacy discussions within primary health care research: A topic analysis using machine learning techniques

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By Muhammet Damar, Andrew Pinto, Benita Hosseini
| Dialnet - Universidad de La Rioja
Ayuda Buscar en la ayuda Buscar en la ayuda Trends in health literacy discussions within primary health care research: A topic analysis using machine learning techniques Autores: Muhammet Damar, Andrew D. Pinto, Benita Hosseini, Thiago Gomes da Trindade, Omer Aydin, Fatih Safa Erenay, Ümit Cali Localización: Atención primaria: Publicación oficial de la Sociedad Española de Familia y Comunitaria, ISSN 0212-6567, Vol. 58, Nº.
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Impact of COVID-19 on Primary Health Care Research Trends and Suggestions for Better Services Approaches Via Blockchain Based Applications

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By Muhammet Damar, Andrew Pinto, Fatih Safa Erenay, Ömer AYDIN
| Blockchain in Healthcare Today
Abstract Objective: The authors assessed how research in primary healthcare was affected by the COVID-19 pandemic and identified the potential of blockchain technology to address pandemic-related challenges. Methods: This quantitative bibliometric research study used machine learning techniques.
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