ArticlePerspectives in health information managemen2011
Use of health information technology among racial and ethnic underserved communities.
Article in Perspectives in health information managemen, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
61 citing papers in PubMed, 4 syntheses or guidelines pooled it, 86 citations in OpenAlex.
- Electronic Health Record-Driven Approaches in Primary Care to Strengthen Hypertension Management Among Racial and Ethnic Minoritized Groups in the United States: Systematic Review.Journal of medical Internet research · 2023Pooled it
- The Use of Cancer-Specific Patient-Centered Technologies Among Underserved Populations in the United States: Systematic Review.Journal of medical Internet research · 2019Pooled it
- Spanish-Language Consumer Health Information Technology Interventions: A Systematic Review.Journal of medical Internet research · 2016Pooled it
- Health and wellness technology use by historically underserved health consumers: systematic review.Journal of medical Internet research · 2012Pooled it
- The Impact of Chatbot Type and Normative Messaging on Chatbot Usage Intention Based on the Health Technology Acceptance Model: Randomized Controlled Trial.Journal of medical Internet research · 2026Trial
- Efficacy, Use, and Usability of the VIP-HANA App for Symptom Self-management in PLWH with HANA Conditions.AIDS and behavior · 2021Trial
- Impact of Technology-Based Intervention for Improving Self-Management Behaviors in Black Adults with Poor Cardiovascular Health: A Randomized Control Trial.International journal of environmental research and public health · 2021Trial
- Engaging women with an embodied conversational agent to deliver mindfulness and lifestyle recommendations: A feasibility randomized control trial.Patient education and counseling · 2017Trial
- Improving Dialysis Adherence for High Risk Patients Using Automated Messaging: Proof of Concept.Scientific reports · 2017Trial
- Wearable Devices and Data Sharing in the US.JAMA network open · 2026Article
- "I don't see anything specifically about Black/African Americans." Testing an Alzheimer-specific generative AI tool tailored for African American/Black communities.ACM transactions on computing for healthcare · 2026Article
- Assessing the role of socioeconomic factors-income, education, broadband access, and healthy foods on location-wise disparities in COVID-19 cases.Archives of public health = Archives belges de sante publique · 2025Article
- Characterizing the Adoption and Experiences of Users of Artificial Intelligence-Generated Health Information in the United States: Cross-Sectional Questionnaire Study.Journal of medical Internet research · 2024Article
- Barriers and facilitators to utilizing digital health technologies by healthcare professionals.NPJ digital medicine · 2023Review
- The digital divide: Racial disparities in adoption and utilization of health information technology among patients with lymphoid cancers.Cancer medicine · 2023Article
- Who needs what (features) when? Personalizing engagement with data-driven self-management to improve health equity.Journal of biomedical informatics · 2023Article
- Information Technology and Telemedicine Services in Community Oncology Practices.JCO clinical cancer informatics · 2023Article
- Article
- Digitalization in Medicine: Are German Medical Students Well Prepared for the Future?International journal of environmental research and public health · 2022Article
- Barriers to and Facilitators of Using mHealth Technology Among African-Americans Living with Hypertension.Journal of National Black Nurses' Association : JNBNA · 2022Article
1 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This article examines the potential role of health IT in addressing healthcare disparities among racial and ethnic minority populations. An overview of health IT utilization among healthcare providers notes certain characteristics that may disproportionately affect minority populations. Current and emerging health IT use among racial and ethnic minority populations is examined, highlighting areas in which technology use in these populations differs from that of nonminority populations and emphasizing the importance of new social media applications in healthcare education and delivery. Following a discussion of adoption and utilization barriers for providers as well as for patients and caregivers, specific opportunities to address healthcare disparities through health IT use are identified at the provider, patient/caregiver, and healthcare system levels. The article identifies several technical, practical, and human challenges to health IT adoption and stresses the need for the healthcare system to embrace the full spectrum of emerging health IT opportunities to address healthcare disparities.
Indexed as
Identifiers
21307989PMC3035830W1551286397What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.