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Hits 1 – 20 of 80
1
Brazilian phonoaudiology telepractice before and during the COVID-19 pandemic
Bárbara Niegia Garcia de Goulart
;
Simone Aparecida Lopes-Herrera
;
Cibelle Albuquerque de la Higuera Amato
...
In: Revista CEFAC, Vol 24, Iss 1 (2022) (2022)
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2
What matters when exploring fidelity when using health IT to reduce disparities?
Handley, Margaret A
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Landeros, Jerad
;
Wu, Cindie
...
In: BMC medical informatics and decision making, vol 21, iss 1 (2021)
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3
Evolution and differentiation of the cybersecurity communities in three social question and answer sites: A mixed-methods analysis.
Wu, Muting
;
Aranovich, Raul
;
Filkov, Vladimir
In: PloS one, vol 16, iss 12 (2021)
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4
A Therapeutic Relational Agent for Reducing Problematic Substance Use (Woebot): Development and Usability Study.
Prochaska, Judith J
;
Vogel, Erin A
;
Chieng, Amy
...
In: Journal of medical Internet research, vol 23, iss 3 (2021)
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5
How to create social media contents based on Motivational Interviewing ...
Pócs, Dávid
. - : figshare, 2021
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6
How to create social media contents based on Motivational Interviewing ...
Pócs, Dávid
. - : figshare, 2021
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7
Current projects of the scholarship holders of the Friedrich-Wingert-Stiftung ...
Hoffmann, Sven
. - : German Medical Science GMS Publishing House, 2021
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8
The Use of Technology for Communicating With Clinicians or Seeking Health Information in a Multilingual Urban Cohort: Cross-Sectional Survey.
Khoong, Elaine C
;
Rivadeneira, Natalie A
;
Hiatt, Robert A
...
In: Journal of medical Internet research, vol 22, iss 4 (2020)
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9
The Use of Technology for Communicating With Clinicians or Seeking Health Information in a Multilingual Urban Cohort: Cross-Sectional Survey.
Khoong, Elaine C
;
Rivadeneira, Natalie A
;
Hiatt, Robert A
;
Sarkar, Urmimala
In: Journal of medical Internet research, vol 22, iss 4 (2020)
Abstract:
BACKGROUND:Technology is being increasingly used to communicate health information, but there is limited knowledge on whether these strategies are effective for vulnerable populations, including non-English speaking or low-income individuals. OBJECTIVE:This study assessed how language preferences (eg, English, Spanish, or Chinese), smartphone ownership, and the type of clinic for usual source of care (eg, no usual source of care, nonintegrated safety net, integrated safety net, private or community clinic, academic tertiary medical center, or integrated payer-provider) affect technology use for health-related communication. METHODS:From May to September 2017, we administered a nonrandom, targeted survey to 1027 English-, Spanish-, and Chinese-speaking San Francisco residents and used weighted multivariable logistic regression analyses to assess predictors of five technology use outcomes. The three primary predictors of interest-language preference, smartphone ownership, and type of clinic for usual care-were adjusted for age, gender, race or ethnicity, limited English proficiency, educational attainment, health literacy, and health status. Three outcomes focused on use of email, SMS text message, or phone apps to communicate with clinicians. The two other outcomes were use of Web-based health videos or online health support groups. RESULTS:Nearly one-third of participants watched Web-based health videos (367/1027, 35.74%) or used emails to communicate with their clinician (318/1027, 30.96%). In adjusted analyses, individuals without smartphones had significantly lower odds of texting their clinician (adjusted odds ratio [aOR] 0.27, 95% CI 0.13-0.56), using online health support groups (aOR 0.14, 95% CI 0.04-0.55), or watching Web-based health videos (aOR 0.31, 95% CI 0.15-0.64). Relative to English-speaking survey respondents, individuals who preferred Chinese had lower odds of texting their clinician (aOR 0.25, 95% CI 0.08-0.79), whereas Spanish-speaking survey respondents had lower odds of using apps to communicate with clinicians (aOR 0.34, 95% CI 0.16-0.75) or joining an online support group (aOR 0.30, 95% CI 0.10-0.92). Respondents who received care from a clinic affiliated with the integrated safety net, academic tertiary medical center, or integrated payer-provider systems had higher odds than individuals without a usual source of care at using emails, SMS text messages, or apps to communicate with clinicians. CONCLUSIONS:In vulnerable populations, smartphone ownership increases the use of many forms of technology for health purposes, but device ownership itself is not sufficient to increase the use of all technologies for communicating with clinicians. Language preference impacts the use of technology for health purposes even after considering English proficiency. Health system factors impact patients' use of technology-enabled approaches for communicating with clinicians. No single factor was associated with higher odds of using technology for all health purposes; therefore, existing disparities in the use of digital health tools among diverse and vulnerable populations can only be addressed using a multipronged approach.
Keyword:
Adult
;
Aged
;
Clinical Research
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Cohort Studies
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Communication
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consumer health information
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Cross-Sectional Studies
;
digital divide
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Female
;
health information technology
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Health Literacy
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Health Services
;
Humans
;
Information and Computing Sciences
;
Information Seeking Behavior
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internet
;
Male
;
Medical and Health Sciences
;
Medical Informatics
;
Middle Aged
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Multilingualism
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physician patient relations
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Psychology and Cognitive Sciences
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social media
;
Surveys and Questionnaires
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Urban Health
;
vulnerable populations
URL:
https://escholarship.org/uc/item/3g30n4ts
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10
Capturing Domain Semantics with Representation Learning: Applications to Health and Function
Newman-Griffis, Denis R
In: http://rave.ohiolink.edu/etdc/view?acc_num=osu1587658607378958 (2020)
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11
SciBabel : a system for crowd-sourced validation of automatic translations of scientific texts
Soares, Felipe
;
Rebechi, Rozane Rodrigues
;
Stevenson, Mark
. - 2020
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12
Perspectives of English, Chinese, and Spanish-Speaking Safety-Net Patients on Clinician Computer Use: Qualitative Analysis.
Khoong, Elaine C
;
Cherian, Roy
;
Matta, George Y
...
In: Journal of medical Internet research, vol 21, iss 5 (2019)
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13
Gender-based differences in letters of recommendation written for ophthalmology residency applicants.
Lin, Fei
;
Oh, Soo Kyung
;
Gordon, Lynn K
...
In: BMC medical education, vol 19, iss 1 (2019)
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14
Su salud a la mano (your health at hand): patient perceptions about a bilingual patient portal in the Los Angeles safety net.
Casillas, Alejandra
;
Perez-Aguilar, Giselle
;
Abhat, Anshu
...
In: Journal of the American Medical Informatics Association : JAMIA, vol 26, iss 12 (2019)
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15
Challenges and adaptations in implementing an English-medium medical program:a case study in China.
Yang, Miao
;
O'Sullivan, Patricia S
;
Irby, David M
...
In: BMC medical education, vol 19, iss 1 (2019)
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16
Challenges and adaptations in implementing an English-medium medical program:a case study in China
Yang, Miao
;
O'Sullivan, Patricia S
;
Irby, David M
...
In: Yang, Miao; O'Sullivan, Patricia S; Irby, David M; Chen, Zexin; Lin, Chun; & Lin, Changmin. (2019). Challenges and adaptations in implementing an English-medium medical program:a case study in China. BMC MEDICAL EDUCATION, 19(1), 15. doi:10.1186/s12909-018-1452-3. UCSF: Retrieved from: http://www.escholarship.org/uc/item/05n0g32d (2019)
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17
A Multi-Lingual Dictionary for Health Informatics as an International Cooperation Pillar.
Benis, Arriel
;
Crisan-Vida, Mihaela
;
Stoicu-Tivadar, Lăcrămioara
...
In: 17th International Conference on Informatics, Management and Technology in Healthcare ; https://hal.archives-ouvertes.fr/hal-02407147 ; 17th International Conference on Informatics, Management and Technology in Healthcare, Jul 2019, Athens, Greece. pp.31-34, ⟨10.3233/SHTI190009⟩ (2019)
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18
Trust me, I'm a chatbot: How artificial intelligence in health care fails the Turing test
Powell, J
. - 2019
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19
NPC POPLINE: A Tool for Population and Reproductive Health Evidence-Based Decisions in Egypt
Khairy, Walaa Ahmed
;
Elden, Nesreen Mohamed Kamal
. - : Republic of Macedonia, 2019
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20
Distributed knowledge based clinical auto-coding system
Kaur, Rajvir
(S33301). - : U.S., Association for Computational Linguistics, 2019
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