Evidence map›Paper›PMID 38787601›Full record

SynthesisJournal of medical Internet research2024

Digital Behavior Change Intervention Designs for Habit Formation: Systematic Review.

Yujie Zhu, Yonghao Long, Hailiang Wang, Kun Pyo Lee, Lie Zhang, Stephen Jia Wang

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
–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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Yujie ZhuSchool of Design, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong).ORCID 0000-0002-1886-6705
Yonghao LongSchool of Design, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong).ORCID 0000-0003-1808-9579
Hailiang WangSchool of Design, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong).ORCID 0000-0002-6668-7947
Kun Pyo LeeSchool of Design, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong).ORCID 0000-0001-8873-2983
Lie ZhangAcademy of Arts & Design, Tsinghua University, Beijing, China.ORCID 0009-0009-6496-9885
Stephen Jia WangSchool of Design, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong).ORCID 0000-0001-9835-9932

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the development of emerging technologies, digital behavior change interventions (DBCIs) help to maintain regular physical activity in daily life.

objectiveTo comprehensively understand the design implementations of habit formation techniques in current DBCIs, a systematic review was conducted to investigate the implementations of behavior change techniques, types of habit formation techniques, and design strategies in current DBCIs.

methodsThe process of this review followed the PRISMA (Preferred Reporting Item for Systematic Reviews and Meta-Analyses) guidelines. A total of 4 databases were systematically searched from 2012 to 2022, which included Web of Science, Scopus, ACM Digital Library, and PubMed. The inclusion criteria encompassed studies that used digital tools for physical activity, examined behavior change intervention techniques, and were written in English.

resultsA total of 41 identified research articles were included in this review. The results show that the most applied behavior change techniques were the self-monitoring of behavior, goal setting, and prompts and cues. Moreover, habit formation techniques were identified and developed based on intentions, cues, and positive reinforcement. Commonly used methods included automatic monitoring, descriptive feedback, general guidelines, self-set goals, time-based cues, and virtual rewards.

conclusionsA total of 32 commonly design strategies of habit formation techniques were summarized and mapped to the proposed conceptual framework, which was categorized into target-mediated (generalization and personalization) and technology-mediated interactions (explicitness and implicitness). Most of the existing studies use the explicit interaction, aligning with the personalized habit formation techniques in the design strategies of DBCIs. However, implicit interaction design strategies are lacking in the reviewed studies. The proposed conceptual framework and potential solutions can serve as guidelines for designing strategies aimed at habit formation within DBCIs.

Indexed as

HabitsBehavior TherapyExerciseHealth BehaviorHumansbehavior change techniquesdigital behavior change interventions designdigital healthhabit formationmobile phonephysical activity

Identifiers

PMID38787601
PMCPMC11161714

What OpenQuestion holds

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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.