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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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Schillinger, Dean; McNamara, Danielle; Crossley, Scott; Lyles, Courtney; Moffet, Howard H; Sarkar, Urmimala; Duran, Nicholas; Allen, Jill; Liu, Jennifer; Oryn, Danielle; Ratanawongsa, Neda; Karter, Andrew J. - : eScholarship, University of California, 2017
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Abstract:
Health systems are heavily promoting patient portals. However, limited health literacy (HL) can restrict online communication via secure messaging (SM) because patients' literacy skills must be sufficient to convey and comprehend content while clinicians must encourage and elicit communication from patients and match patients' literacy level. This paper describes the Employing Computational Linguistics to Improve Patient-Provider Secure Email (ECLIPPSE) study, an interdisciplinary effort bringing together scientists in communication, computational linguistics, and health services to employ computational linguistic methods to (1) create a novel Linguistic Complexity Profile (LCP) to characterize communications of patients and clinicians and demonstrate its validity and (2) examine whether providers accommodate communication needs of patients with limited HL by tailoring their SM responses. We will study >5 million SMs generated by >150,000 ethnically diverse type 2 diabetes patients and >9000 clinicians from two settings: an integrated delivery system and a public (safety net) system. Finally, we will then create an LCP-based automated aid that delivers real-time feedback to clinicians to reduce the linguistic complexity of their SMs. This research will support health systems' journeys to become health literate healthcare organizations and reduce HL-related disparities in diabetes care.
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Keyword:
Behavioral and Social Science; Bioengineering; Clinical Research; Communication; Diabetes; Diabetes Mellitus; Electronic Health Records; Electronic Mail; Health Literacy; Health Services; Humans; Internet; Medical Physiology; Networking and Information Technology R&D; Patient Safety; Physician-Patient Relations; Type 2
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URL: https://escholarship.org/uc/item/0384j5vf
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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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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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