Cited by 53Mobile Health and mHealth ApplicationsMedication Adherence and ComplianceDiabetes Management and Education

The impact of tailored text messages on health beliefs and medication adherence in adults with diabetes: A randomized pilot study

Gatwood, Justin, Balkrishnan, Rajesh, Erickson, Steven R., An, Lawrence C., Piette, John D., Farris, Karen B.·2016·Research in Social and Administrative Pharmacy

Abstract

Background Inadequate medication adherence reduces optimal health outcomes and can lead to increased costs, particularly in patients with diabetes. Efforts to improve adherence have resulted in limited effects; approaches leveraging mobile technology have emerged, but their focus has mainly been limited to simple reminder messages. Objective The purpose of this pilot study was to test the effectiveness of tailored text messages focusing on improving medication adherence and health beliefs in adults with diabetes. Methods Adults aged 21-64, with uncontrolled diabetes, and taking at least one anti-diabetic medication were recruited and randomized into 2 study arms: daily tailored text messaging for 90 days or standard care. Comparing baseline and endpoint survey responses, changes in theory-driven health beliefs and attitudes were assessed. The impact on medication adherence was evaluated using pharmacy claims by calculating the percent of days covered (PDC). Results A total of 75 subjects were consented, and 48 were randomized. Mean PDC at baseline were comparable between cohorts (84.4% and 87.1%, respectively). Declines in adherence were observed in both groups over time but no significant differences were observed between groups or from baseline to the end of the active study period. Unadjusted tests suggested that perceived benefits and competence might have improved in the intervention arm. Conclusions Tailoring mobile phone text messages is a novel way to address medication nonadherence and health beliefs; further investigation to this combined technique is needed to better understand its impact on behavior change in adults with diabetes.

Integrity signals

Registry

Crossref · 10.1016/j.sapharm.2015.04.007

Cites

57 of 57 references verified0 citation errors · 0 not checkable

Statistics

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

Claims the paper makes

We couldn’t retrieve this paper’s full text, 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?

Cites

Flagged first, then by citations

1 of the 58 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Gatwood, J., Balkrishnan, R., Erickson, S. R., An, L. C., Piette, J. D., & Farris, K. B.
Affiliations
  • University of Tennessee Health Science Center (US)
  • University of Michigan (US)
Corresponding author
Gatwood, Justin
Venue
Research in Social and Administrative Pharmacy
Publisher
Elsevier BV
Published
2016-01
Volume
12
Issue
1
Pages
130-140
ISSN
1551-7411 (ISSN-L)
OpenAlex
W2083255071
Cited by
52
References
58
Citations by year
2026: 1 · 2025: 4 · 2024: 5 · 2023: 6 · 2022: 7 · 2021: 2 · 2020: 5 · 2019: 9 · 2018: 7 · 2017: 3 · 2016: 2 · 2015: 1
FWCI
7.97
Type
journal article
Language
en
Open access
closed
Locations
  • Research in Social and Administrative Pharmacy (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Agency for Healthcare Research and Quality (R36 HS021976)
  • NIH (P30DK092926)
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Health Sciences › Medicine › Family Practice › Medication Adherence and Compliance
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
Keywords
diabetes mellitus, medication adherence, mobile health, health beliefs, perceived benefits, perceived competence, antidiabetic drugs, medication non-adherence, behavior change
MeSH terms
Assessment of Medication Adherence, Adult, Attitude to Health, Diabetes Mellitus, Female, Humans, Hypoglycemic Agents, Male, Middle Aged, Pilot Projects, Self Care, Socioeconomic Factors, Cohort Studies, Drug Monitoring, Reminder Systems, Endpoint Determination, Medication Adherence, Young Adult, Text Messaging

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