Evidence map›Paper›PMID 34544679›Full record

ArticleJMIR pediatrics and parenting2021

A Chatbot to Engage Parents of Preterm and Term Infants on Parental Stress, Parental Sleep, and Infant Feeding: Usability and Feasibility Study.

Jill Wong, Agathe C Foussat, Steven Ting, Enzo Acerbi, Ruurd M van Elburg, Chua Mei Chien

Registry-linked trialAbstract read
In one paragraph

Article in JMIR pediatrics and parenting, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03630679 (A Pilot Study Evaluating Sleep, Stress, and Infant Nutrition Using a Chatbot With Parents of Preterm and Full-term Infants), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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.

NCT03630679 completednot on this map

A Pilot Study Evaluating Sleep, Stress, and Infant Nutrition Using a Chatbot With Parents of Preterm and Full-term Infants

TypeobservationalSponsorDanone Asia Pacific Holdings Pte, Ltd.Ran2018 to 2019Enrolled45ConditionsPreterm Birth, Healthy
3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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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.

Jill Wong *Precision Nutrition D-lab, Danone Nutricia Research, Singapore, Singapore.ORCID https://orcid.org/0000-0002-7368-8593
Agathe C Foussat *Precision Nutrition D-lab, Danone Nutricia Research, Singapore, Singapore.ORCID https://orcid.org/0000-0002-8709-4075
Steven Ting *Precision Nutrition D-lab, Danone Nutricia Research, Singapore, Singapore.ORCID https://orcid.org/0000-0001-8574-2238
Enzo Acerbi *Precision Nutrition D-lab, Danone Nutricia Research, Singapore, Singapore.ORCID https://orcid.org/0000-0001-8568-3135
Ruurd M van Elburg *Department of Pediatrics, Emma Children's Hospital, Amsterdam University Medical Center, Amsterdam, Netherlands.ORCID https://orcid.org/0000-0003-0310-6540
Chua Mei Chien *Department of Neonatology, KK Women's and Children's Hospital, Singapore, Singapore.ORCID https://orcid.org/0000-0002-7471-751X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundParents commonly experience anxiety, worry, and psychological distress in caring for newborn infants, particularly those born preterm. Web-based therapist services may offer greater accessibility and timely psychological support for parents but are nevertheless labor intensive due to their interactive nature. Chatbots that simulate humanlike conversations show promise for such interactive applications.

objectiveThe aim of this study is to explore the usability and feasibility of chatbot technology for gathering real-life conversation data on stress, sleep, and infant feeding from parents with newborn infants and to investigate differences between the experiences of parents with preterm and term infants.

methodsParents aged ≥21 years with infants aged ≤6 months were enrolled from November 2018 to March 2019. Three chatbot scripts (stress, sleep, feeding) were developed to capture conversations with parents via their mobile devices. Parents completed a chatbot usability questionnaire upon study completion. Responses to closed-ended questions and manually coded open-ended responses were summarized descriptively. Open-ended responses were analyzed using the latent Dirichlet allocation method to uncover semantic topics.

resultsOf 45 enrolled participants (20 preterm, 25 term), 26 completed the study. Parents rated the chatbot as "easy" to use (mean 4.08, SD 0.74; 1=very difficult, 5=very easy) and were "satisfied" (mean 3.81, SD 0.90; 1=very dissatisfied, 5 very satisfied). Of 45 enrolled parents, those with preterm infants reported emotional stress more frequently than did parents of term infants (33 vs 24 occasions). Parents generally reported satisfactory sleep quality. The preterm group reported feeding problems more frequently than did the term group (8 vs 2 occasions). In stress domain conversations, topics linked to "discomfort" and "tiredness" were more prevalent in preterm group conversations, whereas the topic of "positive feelings" occurred more frequently in the term group conversations. Interestingly, feeding-related topics dominated the content of sleep domain conversations, suggesting that frequent or irregular feeding may affect parents' ability to get adequate sleep or rest.

conclusionsThe chatbot was successfully used to collect real-time conversation data on stress, sleep, and infant feeding from a group of 45 parents. In their chatbot conversations, term group parents frequently expressed positive emotions, whereas preterm group parents frequently expressed physical discomfort and tiredness, as well as emotional stress. Overall, parents who completed the study gave positive feedback on their user experience with the chatbot as a tool to express their thoughts and concerns.

trial registrationClinicalTrials.gov NCT03630679; https://clinicaltrials.gov/ct2/show/NCT03630679.

Indexed as

anxietychatboteHealthinfant feedingparental sleepparental stresspreterm infantssleepstresssupportterm infantsusability

Identifiers

PMID34544679
PMCPMC8579217

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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.