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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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Abstract:
The objective was to determine whether automated telephone self-management support (ATSM) for low-income, linguistically diverse health plan members with diabetes affects health care utilization or cost. A government-sponsored managed care plan for low-income patients implemented a demonstration project between 2009 and 2011 that involved a 6-month ATSM intervention for 362 English-, Spanish-, or Cantonese-speaking members with diabetes from 4 publicly funded clinics. Participants were randomized to immediate intervention or a wait-list. Medical and pharmacy claims used in this analysis were obtained from the managed care plan. Medical claims included hospitalizations, ambulance use, emergency department visits, and outpatient visits. In the 6-month period following enrollment, intervention participants generated half as many emergency department visits and hospitalizations (rate ratio 0.52, 95% CI 0.26, 1.04) compared to wait-listed participants, but these differences did not reach statistical significance (P=0.06). With adjustment for prior year cost, intervention participants also had a nonsignificant reduction of $26.78 in total health care costs compared to wait-listed individuals (P=0.93). The observed trends suggest that ATSM could yield potential health service benefits for health plans that provide coverage for chronic disease patients in safety net settings. ATSM should be further scaled up to determine whether it is associated with a greater reduction in health care utilization and costs. (Population Health Management 2015;18:412–420)
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Keyword:
Original Articles
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URL: http://www.ncbi.nlm.nih.gov/pubmed/26102298 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4688461/ https://doi.org/10.1089/pop.2014.0154
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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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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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