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Annals of Family Medicine | 2005

Prescription for Health: Changing Primary Care Practice to Foster Healthy Behaviors

Maribel Cifuentes; Douglas H. Fernald; Larry A. Green; Linda Niebauer; Benjamin F. Crabtree; Kurt C. Stange; Susan B. Hassmiller

PURPOSE The leading causes of premature death in the United States are linked to 4 behaviors: smoking, unhealthy diet, physical inactivity, and risky alcohol use. We report lessons from 17 exploratory projects funded under Prescription for Health that tested the feasibility of innovative behavior change strategies for at least 2 of these behaviors in primary care practices. METHODS Seventeen practice-based research networks (PBRNs) implemented and evaluated tools, cues, and techniques in 120 family medicine, internal medicine, pediatric, and nursing practices across an ethnically diverse sample of adults, children, and adolescents in rural and urban settings. We reviewed progress reports and notes from site visits and 3 meetings to generate overarching lessons. RESULTS PBRNs successfully implemented their projects in diverse practices despite reported logistical challenges and practice constraints. The networks showed that distributing the effort across the care team and throughout the practice and community is possible. Although each behavior required specific attention, each did not require its own separate staff and system. Three models emerged as helpful guides for the comprehensive redesign of health behavior counseling, but they require adaptation for use in real-world primary care settings. Traditional methods of collaboration yielded mixed results, making obvious a need for dedicated collaboration funds and a better framework to identify and align high-yield opportunities. CONCLUSIONS These projects confirm the feasibility of health behavior counseling in primary care practice. They also highlight the need for substantive practice redesign, and the value of models and frameworks to guide redesign and collaborative efforts.


American Journal of Preventive Medicine | 2008

Common Measures, Better Outcomes (COMBO) A Field Test of Brief Health Behavior Measures in Primary Care

Douglas H. Fernald; Desireé B. Froshaug; L. Miriam Dickinson; Bijal A. Balasubramanian; Martey S. Dodoo; Jodi Summers Holtrop; Dorothy Hung; Russell E. Glasgow; Linda Niebauer; Larry A. Green

BACKGROUND Primary care offices have been characterized as underutilized settings for routinely addressing health behaviors that contribute to premature death and unnecessary suffering. Practical tools are needed to routinely assess multiple health risk behaviors among diverse primary care patients. The performance of a brief set of behavioral measures used in primary care practice is reported here. METHODS Between August 2005 and January 2007, 75 primary care practices assessed four health behaviors, using a 21-item patient self-report questionnaire for adults or a 16-item questionnaire for adolescents. Data were collected via telephone, paper, or electronic means, either with or without assistance. The performance of these measures was evaluated by describing risk-behavior prevalences, combinations of risk behaviors, and missing data. RESULTS Of 227 adolescents and 5358 adults, most patients completed all of the survey questions. Two or more unhealthy behaviors were reported by 47.1% of adolescents and 69.2% of adults. Percentages of adults who completed all the survey items varied by health behavior: tobacco use, 98.5%; diet, 98.2%; physical activity, 96.2%; alcohol use, 85.1%. Missing data rates were higher for unassisted patient self-reporting. CONCLUSIONS A relatively brief set of health behavior measures was usable in a variety of primary care settings with adults and adolescents. The performance of these measures was uneven across behaviors and administration modes, but yielded estimates of unhealthy behaviors consistent overall with what would be expected based on published population estimates. Further work is needed on measures for alcohol use and physical activity to bring practical assessment tools for key health behaviors to routine primary care practice.


Annals of Family Medicine | 2011

Card studies for observational research in practice.

John M. Westfall; Linda Zittleman; Elizabeth W. Staton; Bennett Parnes; Peter C. Smith; Linda Niebauer; Douglas H. Fernald; Javán Quintela; Rebecca F. Van Vorst; L. Miriam Dickinson; Wilson D. Pace

PURPOSE Observational studies that collect patient-level survey data at the point-of-care are often called card studies. Card studies have been used to describe clinical problems, management, and outcomes in primary care for more than 30 years. In this article we describe 2 types of card studies and the methods for conducting them. METHODS We undertook a descriptive review of card studies conducted in 3 Colorado practice-based research networks and several other networks throughout the United States. We summarized experiences of the State Networks of Colorado Ambulatory Practices and Partners (SNOCAP). RESULTS Card studies can be designed to study specific conditions or care (clinicians complete a card when they encounter patients who meet inclusion criteria) and to determine trends and prevalence of conditions (clinicians complete a card on all patients seen during a period). Data can be collected from clinicians and patients and can be linked. CONCLUSIONS Card studies provide cross-sectional descriptive data about clinical care, knowledge and behavior, perception of care, and prevalence of conditions. Card studies remain a robust method for describing primary care.


Clinical and Translational Science | 2012

Engaging Communities in Education and Research: PBRNs, AHEC, and CTSA

John M. Westfall; Beth Ingram; Daniel Navarro; Deidre Magee; Linda Niebauer; Linda Zittleman; Douglas H. Fernald; Wilson D. Pace

Background: Community engagement has become a prominent element in medical research and is an important component of the Clinical and Translational Science Awards program. Area Health Education Centers engage communities in education and workforce development.


Journal of the American Board of Family Medicine | 2006

Practice facilitators and practice-based research networks

Zsolt Nagykaldi; James W. Mold; Amanda Robinson; Linda Niebauer; Ann Ford


Diabetes Care | 2004

Clinical Decisions Regarding HbA1c Results in Primary Care A report from CaReNet and HPRN

Bennett Parnes; Deborah S. Main; L. Miriam Dickinson; Linda Niebauer; Sherry Holcomb; John M. Westfall; Wilson D. Pace


Archive | 2005

Mixed Methods Analysis of Medical Error Event Reports: A Report from the ASIPS Collaborative

Daniel M. Harris; John M. Westfall; Douglas H. Fernald; Christine W. Duclos; David R. West; Linda Niebauer; Linda Marr; Javán Quintela; Deborah S. Main


Journal of the American Board of Family Medicine | 2006

Provider Deferred Decisions on Hemoglobin A1c Results: A Report from the Colorado Research Network (CaReNet) and the High Plains Research Network (HPRN)

Bennett Parnes; Linda Niebauer; Sherry Holcomb; Miriam Dickinson; Jack Westfall; Becky VanVorst; Wilson D. Pace


Archive | 2005

Table 2, Significant attributes of diagnostic testing errors (based on taxonomy codes)

Daniel M. Harris; John M. Westfall; Douglas H. Fernald; Christine W. Duclos; David R. West; Linda Niebauer; Linda Marr; Javán Quintela; Deborah S. Main


Archive | 2005

Figure 1, Qualitatively derived model of diagnostic testing errors

Daniel M. Harris; John M. Westfall; Douglas H. Fernald; Christine W. Duclos; David R. West; Linda Niebauer; Linda Marr; Javán Quintela; Deborah S. Main

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Douglas H. Fernald

University of Colorado Boulder

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Javán Quintela

University of Colorado Denver

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David R. West

University of Colorado Denver

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Wilson D. Pace

University of Colorado Denver

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Bennett Parnes

University of Colorado Denver

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L. Miriam Dickinson

University of Colorado Denver

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Larry A. Green

University of Colorado Boulder

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