1 |
Precision communication: Physicians’ linguistic adaptation to patients’ health literacy
|
|
|
|
In: Sci Adv (2021)
|
|
BASE
|
|
Show details
|
|
2 |
Employing computational linguistics techniques to identify limited patient health literacy: Findings from the ECLIPPSE study
|
|
|
|
In: Health Serv Res (2020)
|
|
BASE
|
|
Show details
|
|
3 |
Challenges and solutions to employing natural language processing and machine learning to measure patients’ health literacy and physician writing complexity: The ECLIPPSE study
|
|
|
|
In: J Biomed Inform (2020)
|
|
BASE
|
|
Show details
|
|
4 |
Perspectives of English, Chinese, and Spanish-Speaking Safety-Net Patients on Clinician Computer Use: Qualitative Analysis.
|
|
|
|
In: Journal of medical Internet research, vol 21, iss 5 (2019)
|
|
BASE
|
|
Show details
|
|
5 |
Secure Messaging with Physicians by Proxies for Patients with Diabetes: Findings from the ECLIPPSE Study
|
|
|
|
In: J Gen Intern Med (2019)
|
|
Abstract:
BACKGROUND: Little is known about patients who have caregiver proxies communicate with healthcare providers via portal secure messaging (SM). Since proxy portal use is often informal (e.g., sharing patient accounts), novel methods are needed to estimate the prevalence of proxy-authored SMs. OBJECTIVE: (1) Develop an algorithm to identify proxy-authored SMs, (2) apply this algorithm to estimate predicted proxy SM (PPSM) prevalence among patients with diabetes, and (3) explore patient characteristics associated with having PPSMs. DESIGN: Retrospective cohort study. PARTICIPANTS: We examined 9856 patients from Diabetes Study of Northern California (DISTANCE) who sent ≥ 1 English-language SM to their primary care physician between July 1, 2006, and Dec. 31, 2015. MAIN MEASURES: Using computational linguistics, we developed ProxyID, an algorithm that identifies phrases frequently found in registered proxy SMs. ProxyID was validated against blinded expert categorization of proxy status among an SM sample, then applied to identify PPSM prevalence across patients. We examined patients’ sociodemographic and clinical characteristics according to PPSM penetrance, “none” (0%), “low” (≥ 0–50%), and “high” (≥ 50–100%). KEY RESULTS: Only 2.3% of patients had ≥ 1 registered proxy-authored SM. ProxyID demonstrated moderate agreement with expert classification (Κ = 0.58); 45.7% of patients had PPSMs (40.2% low and 5.5% high). Patients with high percent PPSMs were older than those with low percent and no PPSMs (66.5 vs 57.4 vs 56.2 years, p < 0.001) had higher rates of limited English proficiency (16.1% vs 3.2% vs 3.5%, p < 0.05), lower self-reported health literacy (3.83 vs 4.43 vs 4.44, p < 0.001), and more comorbidities (Charlson index 3.78 vs 2.35 vs 2.18, p < 0.001). CONCLUSIONS: Among patients with diabetes, informal proxy SM use is more common than registered use and prevalent among socially and medically vulnerable patients. Future research should explore whether proxy portal use improves patient and/or caregiver outcomes and consider policies that integrate caregivers in portal communication.
|
|
Keyword:
Original Research
|
|
URL: http://www.ncbi.nlm.nih.gov/pubmed/31428986 https://doi.org/10.1007/s11606-019-05259-1 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6848304/
|
|
BASE
|
|
Hide details
|
|
6 |
Perspectives of English, Chinese, and Spanish-Speaking Safety-Net Patients on Clinician Computer Use: Qualitative Analysis
|
|
|
|
BASE
|
|
Show details
|
|
7 |
A Randomized Clinical Trial of Group Acupuncture for Painful Diabetic Neuropathy Among Diverse Safety Net Patients
|
|
|
|
In: Pain Med (2019)
|
|
BASE
|
|
Show details
|
|
8 |
Language-concordant automated telephone queries to assess medication adherence in a diverse population: a cross-sectional analysis of convergent validity with pharmacy claims.
|
|
|
|
In: BMC health services research, vol 18, iss 1 (2018)
|
|
BASE
|
|
Show details
|
|
9 |
Language-concordant automated telephone queries to assess medication adherence in a diverse population: a cross-sectional analysis of convergent validity with pharmacy claims ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
Language-concordant automated telephone queries to assess medication adherence in a diverse population: a cross-sectional analysis of convergent validity with pharmacy claims ...
|
|
|
|
BASE
|
|
Show details
|
|
11 |
The Next Frontier in Communication and the ECLIPPSE Study: Bridging the Linguistic Divide in Secure Messaging.
|
|
|
|
BASE
|
|
Show details
|
|
12 |
The Next Frontier in Communication and the ECLIPPSE Study: Bridging the Linguistic Divide in Secure Messaging.
|
|
|
|
BASE
|
|
Show details
|
|
13 |
Health Literacy, Health Care Utilization, and Direct Cost of Care Among Linguistically Diverse Patients with Type 2 Diabetes Mellitus
|
|
|
|
BASE
|
|
Show details
|
|
14 |
The Next Frontier in Communication and the ECLIPPSE Study: Bridging the Linguistic Divide in Secure Messaging
|
|
|
|
BASE
|
|
Show details
|
|
15 |
Automated Telephone Self-Management Support for Diabetes in a Low-Income Health Plan: A Health Care Utilization and Cost Analysis.
|
|
|
|
In: Population health management, vol 18, iss 6 (2015)
|
|
BASE
|
|
Show details
|
|
16 |
Automated Telephone Self-Management Support for Diabetes in a Low-Income Health Plan: A Health Care Utilization and Cost Analysis
|
|
|
|
BASE
|
|
Show details
|
|
17 |
Diabetes health information technology innovation to improve quality of life for health plan members in urban safety net.
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
18 |
ESL Participation as a Mechanism for Advancing Health Literacy in Immigrant Communities
|
|
|
|
BASE
|
|
Show details
|
|
19 |
Diabetes Health Information Technology Innovation to Improve Quality of Life for Health Plan Members in Urban Safety Net
|
|
|
|
BASE
|
|
Show details
|
|
20 |
Safety events during an automated telephone self-management support intervention.
|
|
|
|
In: Journal of diabetes science and technology, vol 7, iss 3 (2013)
|
|
BASE
|
|
Show details
|
|
|
|