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A. John Orzano

Researcher at University of Medicine and Dentistry of New Jersey

Publications -  20
Citations -  1107

A. John Orzano is an academic researcher from University of Medicine and Dentistry of New Jersey. The author has contributed to research in topics: Health care & Ambulatory care. The author has an hindex of 14, co-authored 20 publications receiving 1060 citations. Previous affiliations of A. John Orzano include Rutgers University & Dartmouth College.

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Diagnosis and treatment of obesity in adults: an applied evidence-based review

TL;DR: This applied evidence-based review provides a rationale for the diagnosis and treatment of obesity in adults by providing test characteristics for the body mass index and number needed to treat (NNT) for relevant treatments.
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Social Network Analysis as an Analytic Tool for Interaction Patterns in Primary Care Practices

TL;DR: SNA can be useful for quantitative analysis of interaction patterns that can distinguish differences among primary care practices, and potential uses of these measures for analysis ofPrimary care practices are described.
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Speaking of weight: how patients and primary care clinicians initiate weight loss counseling

TL;DR: Strategies that increase the likelihood of patients identifying weight as a problem, or that provide clinicians with a way to "medicalize" the patient's obesity, are likely to increase the frequency of weight loss counseling in primary care visits.
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Quality of Diabetes Care in Family Medicine Practices: Influence of Nurse-Practitioners and Physician’s Assistants

TL;DR: Family practices employing NPs performed better than those with physicians only and those employing PAs, especially with regard to diabetes process measures, and the reasons for these differences are not clear.
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Measuring Organizational Attributes of Primary Care Practices: Development of a New Instrument

TL;DR: A 21-item questionnaire can reliably measure four important organizational attributes relevant to family practices that can be used both as outcome measures as well as important features for targeting system interventions.