CoChat
Sign Up
Cited by 40Mobile Health and mHealth ApplicationsHIV/AIDS Research and InterventionsICT in Developing Communities

Evaluation of use of cellphones to aid compliance with drug therapy for HIV patients

Skinner, D., Rivette, U., Bloomberg, C.·2007·AIDS Care
DOI 10.1080/09540120701203378
Open this paper in CoChat — free account

Abstract

Key to the care of people living with HIV is effective data on use of ARVs, their responses to the medication and additional needs. An adaptation of cellphone technology by Cell-Life provides an easy-to-use data capturing devise for use by therapeutic counsellors (home based carers). Individual in-depth interviews were conducted with all the counsellors using the technology at two points in time, six months apart. The technology was found to be easy to use, especially for those who had previously used a cellphone. It eased data collection considerably and reduced fears around loosing notes. Improvements in technology between the two sets of interviews showed responsiveness from Cell-Life to the users of the technology. The patients also responded well to the technology, feeling that it improved their treatment. The major concern for home-based carers was the risk of crime due to having a cellphone, which led to the therapeutic counsellors eventually leaving the cellphones at home when visiting patients and entering the data at a later point. While the carers initially felt that the technology was an intrusion in their lives they later adapted to it.

Integrity signals

Registry

Crossref · 10.1080/09540120701203378

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

  • Several articles found that mHealth tools were helpful for managing care by improving attendance to medical appointments through text reminders and community health worker support.

    “several articles [20,31,32,35-37] found that mHealth tools were helpful for managing care by improving attendance to medical appointments, during some of which one would assume CD4 testing took place, through text reminders and community health worker support.”

    From mHealth for HIV Treatment & Prevention: A Systematic Review of the Literature (2013) · cites this paper as [35]

  • Several descriptive and quasi-experimental studies conclude that text message reminders are acceptable, feasible, and useful for improved treatment adherence among PLHIV in resource-constrained settings.

    “Several descriptive [19,34] and quasi-experimental studies [27,35-37] conclude that text message reminders are acceptable, feasible, and useful for improved treatment adherence among PLHIV in resource-constrained settings.”

    From mHealth for HIV Treatment & Prevention: A Systematic Review of the Literature (2013) · cites this paper as [35]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Related

Authors
Skinner, D., Rivette, U., & Bloomberg, C.
Affiliations
  • Human Sciences Research Council (ZA)
  • University of Cape Town (ZA)
  • c Hidden Dimensions Corporate Training Consultants
Corresponding author
Skinner, D.
ORCID
Skinner, D.
Venue
AIDS Care
Publisher
Informa UK Limited
Published
2007-05
Volume
19
Issue
5
Pages
605-607
ISSN
  • 0954-0121 (ISSN-L)
  • 1360-0451
DOI
10.1080/09540120701203378
OpenAlex
W2071056315
Cited by
40
References
3
Citations by year
2023: 1 · 2019: 1 · 2018: 4 · 2017: 2 · 2016: 3 · 2014: 2 · 2013: 5 · 2012: 8
FWCI
7.90
Type
journal article
Language
en
Open access
closed
Locations
  • AIDS Care (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Health Sciences › Medicine › Infectious Diseases › HIV/AIDS Research and Interventions
  • Physical Sciences › Computer Science › Information Systems › ICT in Developing Communities
Keywords
mobile devices, HIV, antiretroviral therapy adherence, home care, mobile data collection, technology adoption, patient-provider relationship, crime risk, cell life
MeSH terms
Female, Home Care Services, Humans, Male, Patient Compliance, Quality of Life, HIV Infections, Cell Phone

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