Evidence map›Paper›PMID 30964436›Full record

Observational studyJMIR mHealth and uHealth2019

To Text or Not to Text: Electronic Message Intervention to Improve Treatment Adherence Versus Matched Historical Controls.

Marily A Oppezzo, Michael V Stanton, Ariadna Garcia, Joseph Rigdon, Jae R Berman, Christopher D Gardner

Registry-linked trialOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01826591 (Do Insulin Secretion or Genotype Pattern Predict Low Fat vs Low Carb Weight Loss Success?), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 15% of its field
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.

NCT01826591 nacompletednot on this map

Do Insulin Secretion or Genotype Pattern Predict Low Fat vs Low Carb Weight Loss Success?

TypeinterventionalSponsorStanford UniversityRan2013 to 2016Enrolled609ConditionsObesity, Insulin ResistanceArmsLow-Carbohydrate Diet, Low-Fat Diet, Mobile App
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

6 authors at 2 institutions in 1 country.

Marily A OppezzoStanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA, United States.ORCID 0000-0001-6668-2508
Michael V StantonDepartment of Health Sciences, California State University, East Bay, Hayward, CA, United States.ORCID 0000-0002-8142-6569
Ariadna GarciaQuantitative Sciences Unit, Stanford University School of Medicine, Stanford, CA, United States.ORCID 0000-0001-6740-7081
Joseph RigdonQuantitative Sciences Unit, Stanford University School of Medicine, Stanford, CA, United States.ORCID 0000-0001-6265-0752
Jae R BermanStanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA, United States.ORCID 0000-0001-8514-5038
Christopher D GardnerStanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA, United States.ORCID 0000-0002-7596-1530
Stanford University · USCalifornia State University, East Bay · US

Funding

Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Seung K Kim · 2017 to 2026
$19.5M
Tweet4Wellness: Development and RCT of Mobile Social Support Groups for Sedentary Behavior ReductionK01HL136702 · NHLBI · STANFORD UNIVERSITY · PI OPPEZZO, MARILY · 2018 to 2022
$822k
NHLBI NIH HHS K01 HL136702NIDDK NIH HHS P30 DK116074
6 · The paper itself

Abstract

backgroundEnsuring treatment adherence is important for the internal validity of clinical trials. In intervention studies where touch points decrease over time, there is even more of an adherence challenge. Trials with multiple cohorts offer an opportunity to innovate on ways to increase treatment adherence without compromising the integrity of the study design, and previous cohorts can serve as historical controls. Electronically delivered nudges offer low-cost opportunities to increase treatment adherence.

objectiveThis study aimed to evaluate the effectiveness of electronic messages (e-messages) on treatment adherence to the last cohort of a parent weight loss intervention during the second half of a year-long trial, when intervention checkpoint frequency decreases. Treatment adherence is measured by intervention class attendance and adherence to the intervention diet.

methodsAll participants in the last cohort (cohort 5, n=128) of a large randomized weight loss study were offered an e-message intervention to improve participant adherence during the last 6 months of a 1-year weight loss program. Overall, 3 to 4 electronic weekly messages asked participants about intervention diet adherence. A propensity score model was estimated using 97 participants who opted to receive e-messages and 31 who declined in cohort 5 and used to pair match cohort 5 e-message participants to a historical control group from cohorts 1 to 4. Moreover, 88 participants had complete data, yielding 176 participants in the final analyses. After matching, intervention and matched control groups were compared on (1) proportion of class attendance between the 6 and 12 month study endpoints, (2) diet adherence, as measured by total carbohydrate grams for low-carbohydrate (LC) and total fat grams for low-fat (LF) diets at 12 months, and (3) weight change from 6 to 12 months. The dose-response relationship between the proportion of text messages responded to and the 3 outcomes was also investigated.

resultsCompared with matched controls, receiving e-messages had no effect on (1) treatment adherence; class attendance after 6 months +4.6% (95% CI -4.43 to 13.68, P=.31), (2) adherence; LC -2.5 g carbohydrate, 95% CI -29.9 to 24.8, P=.85; LF +6.2 g fat, 95% CI -4.1 to 17.0, P=.26); or on (3) the secondary outcome of weight change in the last 6 months; +0.3 kg (95% CI -1.0 to 1.5, P=.68). There was a positive significant response correlation between the percentage of messages to which participants responded and class attendance (r=.45, P<.001).

conclusionsAlthough this e-message intervention did not improve treatment adherence, future studies can learn from this pilot and may incorporate more variety in the prompts and more interaction to promote more effective user engagement. Uniquely, this study demonstrated the potential for innovating within a multicohort trial using propensity score-matched historical control subjects.

trial registrationClinicalTrials.gov NCT01826591; https://clinicaltrials.gov/ct2/show/NCT01826591. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1016/j.cct.2016.12.021.

Indexed as

AdultCohort StudiesFemaleFocus GroupsHumansLongitudinal StudiesMaleMiddle AgedQualitative ResearchReminder SystemsSurveys and QuestionnairesText MessagingTreatment Adherence and Complianceinterventionmobile healthpropensity scoreshort message servicetreatment adherence

Identifiers

PMID30964436
PMCPMC6534047
OpenAlexW2900948333

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.