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Precision communication: Physicians’ linguistic adaptation to patients’ health literacy
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In: Sci Adv (2021)
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Employing computational linguistics techniques to identify limited patient health literacy: Findings from the ECLIPPSE study
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In: Health Serv Res (2020)
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Challenges and solutions to employing natural language processing and machine learning to measure patients’ health literacy and physician writing complexity: The ECLIPPSE study
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In: J Biomed Inform (2020)
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Perspectives of English, Chinese, and Spanish-Speaking Safety-Net Patients on Clinician Computer Use: Qualitative Analysis.
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In: Journal of medical Internet research, vol 21, iss 5 (2019)
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Secure Messaging with Physicians by Proxies for Patients with Diabetes: Findings from the ECLIPPSE Study
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In: J Gen Intern Med (2019)
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Perspectives of English, Chinese, and Spanish-Speaking Safety-Net Patients on Clinician Computer Use: Qualitative Analysis
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A Randomized Clinical Trial of Group Acupuncture for Painful Diabetic Neuropathy Among Diverse Safety Net Patients
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In: Pain Med (2019)
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Language-concordant automated telephone queries to assess medication adherence in a diverse population: a cross-sectional analysis of convergent validity with pharmacy claims.
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In: BMC health services research, vol 18, iss 1 (2018)
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Language-concordant automated telephone queries to assess medication adherence in a diverse population: a cross-sectional analysis of convergent validity with pharmacy claims ...
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Language-concordant automated telephone queries to assess medication adherence in a diverse population: a cross-sectional analysis of convergent validity with pharmacy claims ...
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The Next Frontier in Communication and the ECLIPPSE Study: Bridging the Linguistic Divide in Secure Messaging.
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The Next Frontier in Communication and the ECLIPPSE Study: Bridging the Linguistic Divide in Secure Messaging.
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Health Literacy, Health Care Utilization, and Direct Cost of Care Among Linguistically Diverse Patients with Type 2 Diabetes Mellitus
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The Next Frontier in Communication and the ECLIPPSE Study: Bridging the Linguistic Divide in Secure Messaging
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Automated Telephone Self-Management Support for Diabetes in a Low-Income Health Plan: A Health Care Utilization and Cost Analysis.
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In: Population health management, vol 18, iss 6 (2015)
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Automated Telephone Self-Management Support for Diabetes in a Low-Income Health Plan: A Health Care Utilization and Cost Analysis
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Diabetes health information technology innovation to improve quality of life for health plan members in urban safety net.
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In: Ratanawongsa, Neda; Handley, Margaret A; Sarkar, Urmimala; Quan, Judy; Pfeifer, Kelly; Soria, Catalina; et al.(2014). Diabetes health information technology innovation to improve quality of life for health plan members in urban safety net. The Journal of ambulatory care management, 37(2), 127 - 137. UC San Francisco: Retrieved from: http://www.escholarship.org/uc/item/3jw0n5sm (2014)
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ESL Participation as a Mechanism for Advancing Health Literacy in Immigrant Communities
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Diabetes Health Information Technology Innovation to Improve Quality of Life for Health Plan Members in Urban Safety Net
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Abstract:
Safety net systems need innovative diabetes self-management programs for linguistically diverse patients. A low-income government-sponsored managed care plan implemented a 27-week automated telephone self-management support (ATSM) / health coaching intervention for English, Spanish-, and Cantonese-speaking members from four publicly-funded clinics in a practice-based research network. Compared to waitlist, immediate intervention participants had greater 6-month improvements in overall diabetes self-care behaviors (standardized effect size [ES] 0.29, p<0.01) and SF-12 physical scores (ES 0.25, p=0.03); changes in patient-centered processes of care and cardiometabolic outcomes did not differ. ATSM is a strategy for improving patient-reported self-management and may also improve some outcomes.
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Keyword:
Article
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URL: http://www.ncbi.nlm.nih.gov/pubmed/24594561 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3990277 https://doi.org/10.1097/JAC.0000000000000019
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Safety events during an automated telephone self-management support intervention.
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In: Journal of diabetes science and technology, vol 7, iss 3 (2013)
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