Evidence map›Paper›PMID 39801582›Full record

ArticleDigital health

Fluctuations in mHealth engagement following receipt of goal-discrepant feedback messages.

Lex Hurley, Nisha G O'Shea, Brooke T Nezami, Carmina G Valle, Deborah F Tate

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Lex HurleyDepartment of Health Behavior, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID https://orcid.org/0000-0003-2217-0492
Nisha G O'SheaResearch Triangle Institute International, Research Triangle Park, North Carolina, USA.
Brooke T NezamiDepartment of Nutrition, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Carmina G ValleDepartment of Nutrition, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID https://orcid.org/0000-0003-1985-2409
Deborah F TateDepartment of Health Behavior, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Deborah F. Tate · 1985 to 2026
$201.5M
UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SUSAN M. SMITH · 1999 to 2026
$31.6M
Cancer Health Disparities Training ProgramT32CA128582 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SMITH, JENNIFER SUSAN, TATE, DEBORAH F. · 2009 to 2023
$3.4M
NCI NIH HHS P30 CA016086NCI NIH HHS T32 CA128582NIDDK NIH HHS P30 DK056350
6 · The paper itself

Abstract

Objective: Digital behavior change interventions can successfully promote change in behavioral outcomes, but often suffer from steep decreases in engagement over time, which hampers their effectiveness. Providing feedback on goal performance is an established technique to promote goal attainment; however, theory indicates that sending goal-discrepant feedback messages could cause some users to respond more negatively than others. This analysis assessed whether goal-discrepant messaging was negatively associated with participant engagement, and if this relationship was exacerbated by baseline depressive symptoms within the context of a three-month weight loss pilot mHealth intervention. Methods: This analysis applied a generalization of log-linear regression analysis with Results: Receipt of goal-discrepant messages was associated with a significantly lower likelihood (RR = 0.89) of participants reading the next program message sent, compared to receiving positive/neutral messages or no message, but these relationships were not influenced by depressive symptoms in this sample. Conclusion: Feedback on goal performance remains an important behavior change technique; however, sending push messages that alert participants to their goal-discrepant status seems to reduce the likelihood that participants will read future program messages. Sending messages containing positive or neutral content does not seem to carry this negative risk among individuals in goal-discrepant states.

Indexed as

depressioneHealthengagementmHealthweight

Identifiers

PMID39801582
PMCPMC11719448

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.