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1.
J Palliat Med ; 22(S1): 82-89, 2019 09.
Article in English | MEDLINE | ID: mdl-31486729

ABSTRACT

Introduction: For many patients, primary care is an appropriate setting for advance care planning (ACP). ACP focuses on what matters most to patients and ensuring health care supports patient-defined goals. ACP may involve interactions between a clinician and a patient, but for seriously ill patients ACP could be managed by a team. Methods: We are conducting a cluster randomized trial comparing team-based to clinician-focused ACP using the Serious Illness Care Program (SICP) in 42 practices recruited from 7 practice-based research networks (PBRNs). Practices were randomized to one of the two models. Patients are referred to the study after engaging in ACP in primary care. Our target enrollment is 1260 subjects. Patient data are collected at enrollment, six months and one year. Primary outcomes are patient-reported goal-concordant care and days at home. Secondary outcomes include additional patient measures, clinician/team experience, and practice-level measures of SICP implementation. Study Implementation: This trial was designed and is conducted by the Meta-network Learning and Research Center (Meta-LARC), a consortium of PBRNs focused on integrating engagement with patients, families, and other stakeholders into primary care research and practice. The trial pairs a comparative effectiveness study with implementation of a new program and is designed to balance fidelity to the assigned model with flexibility to allow each practice to adapt implementation to their environment and priorities. Our dissemination will report the results of comparing the two models and the implementation experience of the practices to create guidance for the spread of ACP in primary care.


Subject(s)
Advance Care Planning/organization & administration , Advance Care Planning/statistics & numerical data , Attitude of Health Personnel , Health Personnel/psychology , Primary Health Care/organization & administration , Professional Role/psychology , Professional-Patient Relations , Adult , Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , Primary Health Care/statistics & numerical data , Random Allocation , United States
2.
J Nutr Educ Behav ; 48(7): 453-460.e1, 2016.
Article in English | MEDLINE | ID: mdl-27373859

ABSTRACT

OBJECTIVE: To examine empirically participant and household characteristics associated with Expanded Food and Nutrition Education Program (EFNEP) graduation and to determine whether they differ across 2 counties. DESIGN: Survey of EFNEP participants from 2011 to 2012. SETTING: Expanded Food and Nutrition Education Program sites serving limited-resource families in 1 rural and 1 urban/suburban county in Washington State. PARTICIPANTS: Expanded Food and Nutrition Education Program participants (urban/suburban: n = 647; rural: n = 569). MAIN OUTCOME MEASURE: Expanded Food and Nutrition Education Program completion/graduation. ANALYSIS: Multivariate logistic regression was used to examine associations of participant (ethnicity, race, age, education, pregnancy status, and nutrition knowledge/behavior at baseline) and household (number of people in the house, place of residence, and public assistance services) characteristics with EFNEP graduation. RESULTS: Associations were moderated by county. For the urban/suburban county, participants living with more people (after controlling for the total number of adults) were more likely to graduate. For the rural county, participants living with fewer total adults (after controlling for the total number in the house) and those with better food safety practices at baseline were more likely to graduate. CONCLUSIONS AND IMPLICATIONS: This study aids in understanding which participants are more or less likely to complete EFNEP successfully, and therefore can inform strategies aimed at increasing graduation rates.


Subject(s)
Health Education/statistics & numerical data , Nutritional Sciences/education , Nutritional Sciences/statistics & numerical data , Students/statistics & numerical data , Cross-Sectional Studies , Family Characteristics , Humans , Nutritional Sciences/organization & administration , Washington/epidemiology
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