Evidence map›Paper›PMID 38638406›Full record

ArticleDigital health

A pilot randomised controlled trial exploring the feasibility and efficacy of a human-AI sleep coaching model for improving sleep among university students.

Jintana Liu, Sakura Ito, Tra My Ngo, Ashwini Lawate, Qi Chwen Ong, Tatiana Erlikh Fox, Si Yuan Chang, Duy Phung, Elizabeth Nair, Malar Palaiyan and 9 more

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 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

19 authors.

Jintana LiuLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.ORCID https://orcid.org/0009-0000-5907-7334
Sakura ItoLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.ORCID https://orcid.org/0000-0002-3671-3761
Tra My NgoLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Ashwini LawateLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Qi Chwen OngLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.ORCID https://orcid.org/0009-0009-5621-5071
Tatiana Erlikh FoxLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Si Yuan ChangLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Duy PhungLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Elizabeth NairWork & Health Psychologists, Singapore, Singapore.
Malar PalaiyanUniversity Counselling Centre, Nanyang Technological University, Singapore, Singapore.
Shafiq JotySalesforce AI Research, San Francisco, CA, USA.
John AbisheganadenDepartment of Respiratory and Critical Care Medicine, Tan Tock Seng Hospital, Singapore, Singapore.
Chuen Peng LeeDepartment of Respiratory and Critical Care Medicine, Tan Tock Seng Hospital, Singapore, Singapore.ORCID https://orcid.org/0000-0002-9229-6448
May Oo LwinWee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore, Singapore.
Yin Leng ThengWee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore, Singapore.
Moon-Ho Ringo HoSchool of Social Sciences, Nanyang Technological University, Singapore, Singapore.
Michael ChiaPhysical Education and Sports Science, National Institute of Education, Nanyang Technological University, Singapore, Singapore.ORCID https://orcid.org/0000-0002-1289-0552
Iva BojicLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Josip CarLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Sleep quality is a crucial concern, particularly among youth. The integration of health coaching with question-answering (QA) systems presents the potential to foster behavioural changes and enhance health outcomes. This study proposes a novel human-AI sleep coaching model, combining health coaching by peers and a QA system, and assesses its feasibility and efficacy in improving university students' sleep quality. Methods: In a four-week unblinded pilot randomised controlled trial, 59 university students (mean age: 21.9; 64% males) were randomly assigned to the intervention (health coaching and QA system; Results: Analysis revealed no significant differences in sleep quality (PSQI) between intervention and control groups (adjusted mean difference = -0.51, 95% CI: [-1.55-0.77], Conclusions: The proposed model showed improvements in specific sleep measures for university students and the feasibility of the study procedures and intervention. Future research may extend the intervention period to see substantive sleep quality improvements.

Indexed as

AIFitbitHealth coachingQA systemsleep interventionuniversity students

Identifiers

PMID38638406
PMCPMC11025445

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.