Digital Divide: Variation in Internet and Cellular Phone Use among Women Attending an Urban Sexually Transmitted Infections Clinic
Open accessAbstract
We sought to describe: (1) the prevalence of internet, cellular phone, and text message use among women attending an urban sexually transmitted infections (STI) clinic, (2) the acceptability of health advice by each mode of information and communication technology (ICT), and (3) demographic characteristics associated with ICT use. This study is a cross-sectional survey of 200 English-speaking women presenting to a Baltimore City STI clinic with STI complaints. Participants completed a self-administered survey querying ICT use and demographic characteristics. Three separate questions asked about interest in receiving health advice delivered by the three modalities: internet, cellular phone, and text message. We performed logistic regression to examine how demographic factors (age, race, and education) are associated with likelihood of using each modality. The median age of respondents was 27 years; 87% were African American, and 71% had a high school diploma. The rate of any internet use was 80%; 31% reported daily use; 16% reported weekly use; and 32% reported less frequent use. Almost all respondents (93%) reported cellular phone use, and 79% used text messaging. Acceptability of health advice by each of the three modalities was about 60%. In multivariate analysis, higher education and younger age were associated with internet use, text messaging, and cellular phone use. Overall rate of internet use was high, but there was an educational disparity in internet use. Cellular phone use was almost universal in this sample. All three modalities were equally acceptable forms of health communication. Describing baseline ICT access and the acceptability of health advice via ICT, as we have done, is one step toward determining the feasibility of ICT-delivered health interventions in urban populations.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Among 35 studies, only a few mentioned a theoretical basis or conceptual framework.
“Among 35 studies, only a few [22-27] mentioned a theoretical basis or conceptual framework that guided their assumptions about why mHealth might facilitate or cause the intended change.”
From mHealth for HIV Treatment & Prevention: A Systematic Review of the Literature (2013) · cites this paper as [24]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Statistical Abstract of the U nited S tates
(2005) · Wiley eBooks · doi:10.1002/0471667196.ess2527 · Cited by 8,872 · see citing works
Rodgers, A., Corbett, T., Bramley, D., Riddell, T., Wills, M., Lin, R.-B., & Jones, M. (2005) · Tobacco Control · doi:10.1136/tc.2005.011577 · Cited by 732 · see citing works
Neighbors, C., Larimer, M. E., & Lewis, M. A. (2004) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.72.3.434 · Cited by 661 · see citing works
Kypri, K., Saunders, J. B., Williams, S. M., McGee, R. O., Langley, J. D., Cashell‐Smith, M. L., & Gallagher, S. J. (2004) · Addiction · doi:10.1111/j.1360-0443.2004.00847.x · Cited by 287 · see citing works
Web‐based self‐help for problem drinkers: a pragmatic randomized trial
Riper, H., Kramer, J., Smit, F., Conijn, B., Schippers, G., & Cuijpers, P. (2008) · Addiction · doi:10.1111/j.1360-0443.2007.02063.x · Cited by 267 · see citing works
SEXINFO: A Sexual Health Text Messaging Service for San Francisco Youth
Levine, D., McCright, J., Dobkin, L., Woodruff, A. J., & Klausner, J. D. (2008) · American Journal of Public Health · doi:10.2105/ajph.2007.110767 · Cited by 228 · see citing works
Hester, R. K., Squires, D. D., & Delaney, H. D. (2005) · Journal of Substance Abuse Treatment · doi:10.1016/j.jsat.2004.12.002 · Cited by 221 · see citing works
A randomized trial of a proactive cellular telephone intervention for smokers living with HIV/AIDS
Vidrine, D. J., Arduino, R. C., Lazev, A. B., & Gritz, E. R. (2006) · AIDS · doi:10.1097/01.aids.0000198094.23691.58 · Cited by 171 · see citing works
Joo, N.-S., & Kim, B.-T. (2007) · Journal of Telemedicine and Telecare · doi:10.1258/135763307783064331 · Cited by 161 · see citing works
Reevaluating the Need for Concern Regarding Noncoverage Bias in Landline Surveys
Blumberg, S. J., & Luke, J. V. (2009) · American Journal of Public Health · doi:10.2105/ajph.2008.152835 · Cited by 145 · see citing works
Weitzel, J. A., Bernhardt, J. M., Usdan, S., Mays, D., & Glanz, K. (2007) · Journal of Studies on Alcohol and Drugs · doi:10.15288/jsad.2007.68.534 · Cited by 142 · see citing works
Linke, S., Murray, E., Butler, C., & Wallace, P. (2007) · Journal of Medical Internet Research · doi:10.2196/jmir.9.2.e10 · Cited by 127 · see citing works
Hutton, H. E., McCaul, M. E., Santora, P. B., & Erbelding, E. J. (2008) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2008.00788.x · Cited by 120 · see citing works
Self-citationInternet access and Internet use for health information among people living with HIV–AIDS
Kalichman, S. C., Weinhardt, L. S., Benotsch, E. G., DiFonzo, K., Luke, W., & Austin, J. A. (2002) · Patient Education and Counseling · doi:10.1016/s0738-3991(01)00134-3 · Cited by 111 · see citing works
RIETMEIJER, C. A. M., Bull, S. S., McFarlane, M., Patnaik, J. L., & Douglas, J. M. (2003) · Sexually Transmitted Diseases · doi:10.1097/00007435-200301000-00004 · Cited by 83 · see citing works
Internet and paper self-help materials for problem drinking: is there an additive effect?
Cunningham, J. A., Humphreys, K., Koski-Jännes, A., & Cordingley, J. (2005) · Addictive Behaviors · doi:10.1016/j.addbeh.2005.03.003 · Cited by 56 · see citing works
Internet use among low-income persons recently diagnosed with HIV infection
Mayben, J. K., & Giordano, T. P. (2007) · AIDS Care · doi:10.1080/09540120701402806 · Cited by 30 · see citing works
Computer and Internet Use in a Community Health Clinic Population
Peterson, N. B., Dwyer, K. A., & Mulvaney, S. A. (2008) · Medical Decision Making · doi:10.1177/0272989x08323621 · Cited by 13 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Sarkar, U., Karter, A. J., Liu, J. Y., Adler, N. E., Nguyen, R., Lopez, A., & Schillinger, D. (2011) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2010.006015 · Cited by 428 · see citing works
mHealth for HIV Treatment & Prevention: A Systematic Review of the Literature
Catalani, C., Philbrick, W., Fraser, H., Mechael, & Israelski, D. M. (2013) · The Open AIDS Journal · doi:10.2174/1874613620130812003 · Cited by 230 · see citing works
Kratzke, C., Wilson, S., & Vilchis, H. (2013) · Journal of Community Health · doi:10.1007/s10900-012-9579-3 · Cited by 55 · see citing works
Ranney, M. L., Choo, E. K., Spirito, A., & Mello, M. J. (2013) · Pediatric Emergency Care · doi:10.1097/pec.0b013e31828a322f · Cited by 47 · see citing works
Sharpe, J. D., Zhou, Z., Escobar-Viera, C. G., Morano, J. P., Lucero, R. J., Ibañez, G. E., Hart, M., Cook, C. L., & Cook, R. L. (2018) · Substance Abuse · doi:10.1080/08897077.2017.1356793 · Cited by 19 · see citing works
- Authors
- Samal, L., Hutton, H. E., Erbelding, E. J., Brandon, E. S., Finkelstein, J., & Chander, G.
- Affiliations
- Johns Hopkins University (US)
- Corresponding author
- Samal, Lipika
- Venue
- Journal of Urban Health
- Published
- 2009-11-26
- Volume
- 87
- Issue
- 1
- Pages
- 122-128
- ISSN
- 0028-7091 (ISSN-L)
- 1099-3460
- 1468-2869
- PMC
- PMC2821605
- OpenAlex
- W1991171817
- Cited by
- 52
- References
- 18
- Citations by year
- 2021: 1 · 2020: 1 · 2019: 2 · 2018: 4 · 2017: 1 · 2016: 2 · 2015: 8 · 2014: 5 · 2013: 7 · 2012: 13
- FWCI
- 12.64
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Journal of Urban Health (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Agency for Healthcare Research and Quality (R18HS019313)
- National Heart, Lung, and Blood Institute (R01HL071690, R01HL078579)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Information Systems › ICT in Developing Communities
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Keywords
- digital divide, internet use, mobile phone use, text messaging, sexually transmitted infections, women, health communication, information and communication technologies, educational inequality, urban population, African American women, STI clinic patients
- MeSH terms
- Adult, Black or African American, Community Health Centers, Cross-Sectional Studies, Educational Status, Female, Health Promotion, Humans, Middle Aged, Patient Education as Topic, Sexually Transmitted Diseases, Urban Population, Baltimore, Logistic Models, Age Distribution, Internet, Information Dissemination, Cell Phone, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
