Literature DB >> 21086028

The digital divide at an urban community health center: implications for quality improvement and health care access.

Nancy M Denizard-Thompson1, Kirsten B Feiereisel, Sheila F Stevens, David P Miller, James L Wofford.   

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.

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Year:  2011        PMID: 21086028     DOI: 10.1007/s10900-010-9327-5

Source DB:  PubMed          Journal:  J Community Health        ISSN: 0094-5145


  17 in total

1.  Clinical trials of interactive computerized patient education: implications for family practice.

Authors:  S Krishna; E A Balas; D C Spencer; J Z Griffin; S A Boren
Journal:  J Fam Pract       Date:  1997-07       Impact factor: 0.493

2.  It's in the cards: a practice-friendly, real-time data collection strategy for quality improvement.

Authors:  James L Wofford; James R Kimberly; William P Moran; David P Miller; Jerry L Hopping; Carolyn E Pedley; Catherine H Messick; Peter R Lichstein; Ramon Velez
Journal:  Jt Comm J Qual Patient Saf       Date:  2005-01

3.  Who searches the internet for health information?

Authors:  M Kate Bundorf; Todd H Wagner; Sara J Singer; Laurence C Baker
Journal:  Health Serv Res       Date:  2006-06       Impact factor: 3.402

4.  Racial disparities in health information access: resilience of the Digital Divide.

Authors:  Daniel P Lorence; Heeyoung Park; Susannah Fox
Journal:  J Med Syst       Date:  2006-08       Impact factor: 4.460

5.  The telehealth divide: disparities in searching public health information online.

Authors:  Mary Schmeida; Ramona S McNeal
Journal:  J Health Care Poor Underserved       Date:  2007-08

6.  If you build it, will they come? The Kaiser Permanente model of online health care.

Authors:  Anna-Lisa Silvestre; Valerie M Sue; Jill Y Allen
Journal:  Health Aff (Millwood)       Date:  2009 Mar-Apr       Impact factor: 6.301

Review 7.  The multimedia computer for office-based patient education: a systematic review.

Authors:  James L Wofford; Edward D Smith; David P Miller
Journal:  Patient Educ Couns       Date:  2005-01-04

8.  Brief report: What types of Internet guidance do patients want from their physicians?

Authors:  Joseph A Diaz; Christophern N Sciamanna; Evangelos Evangelou; Michael J Stamp; Tom Ferguson
Journal:  J Gen Intern Med       Date:  2005-08       Impact factor: 5.128

9.  Computer and internet use in a community health clinic population.

Authors:  Neeraja B Peterson; Kathleen A Dwyer; Shelagh A Mulvaney
Journal:  Med Decis Making       Date:  2008-09-23       Impact factor: 2.583

Review 10.  eHealth Literacy: Essential Skills for Consumer Health in a Networked World.

Authors:  Cameron D Norman; Harvey A Skinner
Journal:  J Med Internet Res       Date:  2006-06-16       Impact factor: 5.428

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  18 in total

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Authors:  Cynthia Kratzke; Susan Wilson; Hugo Vilchis
Journal:  J Community Health       Date:  2013-02

2.  Text messaging among residents and faculty in a university general surgery residency program: prevalence, purpose, and patient care.

Authors:  Dhruvil R Shah; Joseph M Galante; Richard J Bold; Robert J Canter; Steve R Martinez
Journal:  J Surg Educ       Date:  2012-06-15       Impact factor: 2.891

3.  Formative Evaluation to Assess Communication Technology Access and Health Communication Preferences of Alaska Native People.

Authors:  Renee F Robinson; Denise A Dillard; Vanessa Y Hiratsuka; Julia J Smith; Steve Tierney; Jaedon P Avey; Dedra S Buchwald
Journal:  Int J Indig Health       Date:  2015

4.  Homeless patients' perceptions about using cell phones to manage medications and attend appointments.

Authors:  Leticia R Moczygemba; Lauren S Cox; Samantha A Marks; Margaret A Robinson; Jean-Venable R Goode; Nellie Jafari
Journal:  Int J Pharm Pract       Date:  2016-11-29

5.  Attitudes Toward Computer Interventions for Partner Abuse and Drug Use Among Women in the Emergency Department.

Authors:  Esther Choo; Megan Ranney; Terrie Wetle; Kathleen Morrow; Michael Mello; Daniel Squires; Chantal Tapé; Aris Garro; Caron Zlotnick
Journal:  Addict Disord Their Treat       Date:  2015-06

6.  Mobile phone access, willingness, and usage for HIV-related services among young adults living in informal urban settlements in Kenya: A cross-sectional analysis.

Authors:  Larissa Jennings Mayo-Wilson; Bee-Ah Kang; Muthoni Mathai; Margaret O Mak'anyengo; Fred M Ssewamala
Journal:  Int J Med Inform       Date:  2022-02-24       Impact factor: 4.046

7.  Automated patient self-scheduling: case study.

Authors:  Elizabeth Woodcock; Aditi Sen; Jonathan Weiner
Journal:  J Am Med Inform Assoc       Date:  2022-08-16       Impact factor: 7.942

8.  Barriers and Facilitators to Automated Self-Scheduling: Consensus from a Delphi Panel of Key Stakeholders.

Authors:  Elizabeth Woodcock
Journal:  Perspect Health Inf Manag       Date:  2022-01-01

9.  The influence of health disparities on targeting cancer prevention efforts.

Authors:  Alan B Zonderman; Ngozi Ejiogu; Jennifer Norbeck; Michele K Evans
Journal:  Am J Prev Med       Date:  2014-03       Impact factor: 5.043

10.  Ethnic differences in breast cancer prevention information-seeking among rural women: will provider mobile messages work?

Authors:  Cynthia Kratzke; Susan Wilson
Journal:  J Cancer Educ       Date:  2014-09       Impact factor: 2.037

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