Evidence map›Paper›PMID 34911398›Full record

Trial reportJournal of diabetes science and technology2023

An Adaptive, Algorithm-based Text Message Intervention to Promote Health Behavior Adherence in Type 2 Diabetes: Treatment Development and Proof-of-Concept Trial.

Christopher M Celano, Christina Massey, Jessica Long, Sonia Kim, Olivia Velasquez, Brian C Healy, Deborah J Wexler, Elizabeth N Madva, Jeff C Huffman

Abstract readClinical Trial
In one paragraph

Trial report in Journal of diabetes science and technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
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  4. Review
  5. Article
  6. 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

9 authors.

Christopher M CelanoDepartment of Psychiatry, Harvard Medical School, Boston, MA, USA.ORCID 0000-0003-0547-2851
Christina MasseyDepartment of Psychiatry, Harvard Medical School, Boston, MA, USA.ORCID 0000-0001-9582-2557
Jessica LongMaad, Ouakam Cité Batrain, Dakar, Senegal.
Sonia KimDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
Olivia VelasquezDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
Brian C HealyDepartment of Neurology, Brigham and Women's Hospital, Boston, MA, USA.
Deborah J WexlerDepartment of Medicine (Endocrinology), Harvard Medical School, Boston, MA, USA.
Elizabeth N MadvaDepartment of Psychiatry, Harvard Medical School, Boston, MA, USA.
Jeff C HuffmanDepartment of Psychiatry, Harvard Medical School, Boston, MA, USA.

Funding

Developing a positive psychology intervention to improve cardiac health behaviorsR01HL113272 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI HUFFMAN, JEFF C · 2013 to 2017
$2.6M
NHLBI NIH HHS R01 HL113272
6 · The paper itself

Abstract

backgroundMost individuals with type 2 diabetes (T2D) struggle to adhere to one or more health behaviors. Text message interventions (TMIs) have the potential to improve adherence but have had mixed effects on diet and activity in T2D. We developed an eight-week, adaptive, algorithm-driven TMI to promote physical activity, diet, self-care, and well-being. Then, in a single-arm trial, we assessed its feasibility, acceptability, and preliminary efficacy in 15 individuals with T2D and suboptimal adherence.

methodsParticipants received daily text messages and were asked to rate the utility of each message (0=not helpful, 10=very helpful). These ratings were used by an algorithm to select subsequent messages based on each participant's prior ratings. We assessed intervention feasibility by rates of message transmission/response and acceptability through ratings of message utility and burden. Finally, we examined pre-post changes in diabetes self-care, diet, physical activity, and psychological outcomes and calculated effect sizes (Cohen's

resultsAll text messages were delivered, and participants provided ratings for 79% of messages, above our a priori thresholds for feasibility. Participants rated the individual messages and overall TMI as subjectively useful (utility: 8.1 [SD=2.1] and 7.8 [SD=2.0], respectively) and not burdensome (burden: 0.8 [SD=1.8]). The intervention led to significant, medium- to large-sized improvements in self-care (

conclusionsThe TMI was feasible and well-accepted, and it led to promising improvements in adherence-related outcomes. These findings should be confirmed in a larger randomized controlled trial.

Indexed as

Diabetes Mellitus, Type 2Text MessagingAlgorithmsHealth BehaviorHealth PromotionHumansProof of Concept Studydietphysical activitypositive psychologyself-caretext message interventiontype 2 diabetes

Identifiers

PMID34911398
PMCPMC10012372

What OpenQuestion holds

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Registered trials

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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.