ArticleJournal of community health2011
The digital divide at an urban community health center: implications for quality improvement and health care access.
Article in Journal of community health, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 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
22 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Web-Based Medical Appointment Systems: A Systematic Review.Journal of medical Internet research · 2017Pooled it
- Health and wellness technology use by historically underserved health consumers: systematic review.Journal of medical Internet research · 2012Pooled it
- Article
- An Electronic Health Record-Based Automated Self-Rescheduling Tool to Improve Patient Access: Retrospective Cohort Study.Journal of medical Internet research · 2024Article
- Patient Perceptions of e-Visits: Qualitative Study of Older Adults to Inform Health System Implementation.JMIR aging · 2023Article
- Impact of patient portal-based self-scheduling of diagnostic imaging studies on health disparities.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Automated patient self-scheduling: case study.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Mobile phone access, willingness, and usage for HIV-related services among young adults living in informal urban settlements in Kenya: A cross-sectional analysis.International journal of medical informatics · 2022Observational
- A Smartphone-Based Self-management Intervention for Individuals With Bipolar Disorder (LiveWell): Empirical and Theoretical Framework, Intervention Design, and Study Protocol for a Randomized Controlled Trial.JMIR research protocols · 2022Article
- Barriers to and Facilitators of Automated Patient Self-scheduling for Health Care Organizations: Scoping Review.Journal of medical Internet research · 2022Article
- Barriers and Facilitators to Automated Self-Scheduling: Consensus from a Delphi Panel of Key Stakeholders.Perspectives in health information managemen · 2022Article
- A Smartphone-Based Self-management Intervention for Individuals With Bipolar Disorder (LiveWell): Protocol Development for an Expert System to Provide Adaptive User Feedback.JMIR formative research · 2021Article
- A Smartphone-Based Self-management Intervention for Bipolar Disorder (LiveWell): User-Centered Development Approach.JMIR mental health · 2021Article
- Homeless patients' perceptions about using cell phones to manage medications and attend appointments.The International journal of pharmacy practice · 2017Article
- Managing Diabetes in Pregnancy Using Cell Phone/Internet Technology.Clinical diabetes : a publication of the American Diabetes Association · 2015Article
- Attitudes Toward Computer Interventions for Partner Abuse and Drug Use Among Women in the Emergency Department.Addictive disorders & their treatment · 2015Article
- Ethnic differences in breast cancer prevention information-seeking among rural women: will provider mobile messages work?Journal of cancer education : the official journal of the American Association for Cancer Education · 2014Article
- Impact of gender on patient preferences for technology-based behavioral interventions.The western journal of emergency medicine · 2014Article
- The influence of health disparities on targeting cancer prevention efforts.American journal of preventive medicine · 2014Article
- Reaching rural women: breast cancer prevention information seeking behaviors and interest in Internet, cell phone, and text use.Journal of community health · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Health care policy encourages better electronic connectivity between patient and the office practice. However, whether patients are able to partner with the practice in using communication technologies is not known. We sought to determine (1) the proportion of clinic patients who use internet and cell phone text messaging technologies, (2) the level of patient interest in using these technologies for the purpose of managing clinical appointments and patient education. Consecutive adult patients, clinicians and staff at an urban community health center were surveyed during a one-week period in order to estimate the frequency of technology use by patients. A total of 308 survey cards were collected during the designated week (response rate of 85% (308/362). One-third (34.0%, 105) of surveyed patients used the internet and text messaging daily or weekly, while nearly two-thirds (59.7%, 182) never used these technologies. There were no racial or gender differences in the proportion of patients who used the internet daily or weekly. In contrast, African-Americans used text messaging more often than whites (28.2 vs. 21.4%, P < .05), and females more than males (30.8 vs. 18.5%, P < .05). Younger patients (>50) used the internet and text messaging more often than older patients (50.6 vs. 16.6%, 44.3 vs. 7.3%, respectively). Despite the low use of both technologies, patient's interest in managing clinic appointments was high (40.3% for the Internet and 56.8% for text messaging). Clinicians and staff estimated patient's daily/weekly use of internet and cellphone messaging at 40.3% (± 22.0), and 56.8% (± 25.7), respectively. Most patients at this urban community health center reported never using the internet or cell phone text messaging. Clinicians overestimated technology use by patients. Planning for clinic infrastructure, quality improvement, and patient education should include assessment of technology use patterns by patients.
Indexed as
Identifiers
21086028What 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.