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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 3 of 3 Research Studies DisplayedBrown W, Balyan R, Karter AJ
Challenges and solutions to employing natural language processing and machine learning to measure patients' health literacy and physician writing complexity: the ECLIPPSE study.
In the National Library of Medicine-funded ECLIPPSE Project (Employing Computational Linguistics to Improve Patient-Provider Secure Emails exchange), the researchers attempted to create novel, valid, and scalable measures of both patients' health literacy (HL) and physicians' linguistic complexity by employing natural language processing techniques and machine learning. They identified 23 challenges and associated approaches that emerged from three overarching process domains. They suggested that investigators undertaking similar research in HL or using computational linguistic methods to assess patient-clinician exchange may find their solutions helpful when designing and executing health communications research.
Citation: Brown W, Balyan R, Karter AJ .
Challenges and solutions to employing natural language processing and machine learning to measure patients' health literacy and physician writing complexity: the ECLIPPSE study.
AHRQ-funded; HS026383..
Keywords: Health Literacy, Electronic Health Records (EHRs), Health Information Technology (HIT), Communication, Clinician-Patient Communication
Khoong EC, Cherian R, Matta GY
Perspectives of English, Chinese, and Spanish-speaking safety-net patients on clinician computer use: qualitative analysis.
The goal of this study was to understand how safety-net patients, including those with limited English proficiency, view clinician electronic health record (EHR) use. Through focus groups in English, Spanish, and Cantonese, results showed that linguistically diverse patients accepted the value of EHR use during outpatient visits but desired more eye contact, verbal warnings before EHR use, and screen-sharing. Support for clinicians in completing EHR-related tasks during the visit using patient-centered strategies for all patients is recommended.
AHRQ-funded; HS022561; HS023558; HS022408.
Citation: Khoong EC, Cherian R, Matta GY .
Perspectives of English, Chinese, and Spanish-speaking safety-net patients on clinician computer use: qualitative analysis.
J Med Internet Res 2019 May 22;21(5):e13131. doi: 10.2196/13131..
Keywords: Cultural Competence, Racial and Ethnic Minorities, Patient Experience, Electronic Health Records (EHRs), Health Information Technology (HIT), Clinician-Patient Communication, Health Literacy, Communication
Ratanawongsa N, Barton JL, Lyles CR
Computer use, language, and literacy in safety net clinic communication.
The researchers investigated the associations between safety net clinician computer use and patient-provider communication for patients with limited health literacy (LHL) and limited English proficiency (LEP). They found that higher clinician computer use was associated with more biomedical focus with LEP/LHL patients, and clinician verbal dominance and lower ratings with patients with adequate English proficiency and health literacy.
AHRQ-funded; HS022561.
Citation: Ratanawongsa N, Barton JL, Lyles CR .
Computer use, language, and literacy in safety net clinic communication.
J Am Med Inform Assoc 2017 Jan;24(1):106-12. doi: 10.1093/jamia/ocw062.
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Keywords: Communication, Electronic Health Records (EHRs), Health Literacy, Clinician-Patient Communication, Health Information Technology (HIT)