Cited by 114Mobile Health and mHealth ApplicationsTechnology Use by Older AdultsPhysical Activity and Health

Employing virtual advisors in preventive care for underserved communities: results from the COMPASS study

Open access
King, Abby C., Bickmore, Timothy W., Campero, Maria Ines, Pruitt, Leslie A., Yin, James Langxuan·2013·Journal of Health Communication

Abstract

Electronically delivered health promotion programs that are aimed primarily at educated, health-literate individuals have proliferated, raising concerns that such trends could exacerbate health disparities in the United States and elsewhere. The efficacy of a culturally and linguistically adapted virtual advisor that provides tailored physical activity advice and support was tested in low-income older adults. Forty inactive adults (92.5% Latino) 55 years of age and older were randomized to a 4-month virtual advisor walking intervention or a waitlist control. Four-month increases in reported minutes of walking/week were greater in the virtual advisor arm (mean increase = 253.5 ± 248.7 minutes/week) relative to the control (mean increase = 26.8 ± 67.0 minutes/week; p = .0008). Walking increases in the virtual advisor arm were substantiated via objectively measured daily steps (slope analysis p = .002). All but one intervention participant continued some interaction with the virtual advisor in the 20-week poststudy period (mean number of poststudy sessions = 14.0 ± 20.5). The results indicate that a virtual advisor delivering culturally and linguistically adapted physical activity advice led to meaningful 4-month increases in walking relative to control among underserved older adults. This interactive technology, which requires minimal language and computer literacy, may help reduce health disparities by ensuring that all groups benefit from e-health opportunities.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1080/10810730.2013.798374

Cites

55 of 55 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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?

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

Flagged first, then by citations

Research works printed but not linked: 1

  1. SAS Institute Inc. (2009). SAS/STAT 9.2 user’s guide (2nd ed.). Cary, NC: Author.

Cited by

Sorted by citations

Authors
King, A. C., Bickmore, T. W., Campero, M. I., Pruitt, L. A., & Yin, J. L.
Affiliations
  • Stanford Medicine (US)
  • Northeastern University (US)
Corresponding author
King, Abby C.
Venue
Journal of Health Communication
Published
2013-12
Volume
18
Issue
12
Pages
1449-1464
ISSN
  • 1081-0730 (ISSN-L)
  • 1087-0415
OpenAlex
W2012861762
Cited by
114
References
53
Citations by year
2026: 3 · 2025: 11 · 2024: 8 · 2023: 9 · 2022: 7 · 2021: 9 · 2020: 12 · 2019: 11 · 2018: 11 · 2017: 10 · 2016: 7 · 2015: 8 · 2014: 4 · 2013: 4
FWCI
13.89
Type
journal article
Language
en
Open access
Locations
  • Journal of Health Communication (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Cancer Institute (R21CA127511)
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Social Sciences › Demography › Technology Use by Older Adults
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
Keywords
virtual advisors, walking intervention, physical activity promotion, older adults, Latino older adults, low-income populations, e-health, health disparities, preventive medicine, health promotion, step count, underserved populations
MeSH terms
Aged, Aged, 80 and over, California, Community Health Services, Culture, Female, Follow-Up Studies, Health Promotion, Hispanic or Latino, Humans, Language, Male, Medically Underserved Area, Middle Aged, Poverty, User-Computer Interface, Walking, Multilingualism, Sedentary Behavior

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