Unique ID issued by UMIN | UMIN000035736 |
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Receipt number | R000040108 |
Scientific Title | Effects of chatbot for preconception care: a randomized controlled study |
Date of disclosure of the study information | 2019/02/01 |
Last modified on | 2020/09/28 12:13:02 |
Effects of chatbot for preconception care: a randomized controlled study
Chatbot for preconception care
Effects of chatbot for preconception care: a randomized controlled study
Chatbot for preconception care
Japan |
fertility
Not applicable | Adult |
Others
NO
Measurement of the effects of chatbot for preconception education on knowledge and lifestyle changes
Efficacy
The score of the Cardiff Fertility Knowledge scale after exposure
Interventional
Parallel
Randomized
Individual
Open -no one is blinded
Placebo
YES
3
Prevention
Other |
chatbot
written material for fertility
written material regarding health insurance
20 | years-old | <= |
34 | years-old | >= |
Female
women who hope to have a child in the future
medical professionals or advertisement professionals; not currently pregnant
930
1st name | Eri |
Middle name | |
Last name | Maeda |
Akita University
Environmental Health Science and Public Health
010-8543
Hondo1-1-1, Akita, Japan
018-884-6087
erimaeda@med.akita-u.ac.jp
1st name | Eri |
Middle name | |
Last name | Maeda |
Akita University
Environmental Health Science and Public Health
010-0001
Hondo1-1-1, Akita, Japan
018-884-6083
erimaeda@med.akita-u.ac.jp
Akita Univeristy
Pfizer Health Research Foundation
Non profit foundation
Akita University
Hondo1-1-1, Akita
018-884-6461
soken@hos.akita-u.ac.jp
NO
2019 | Year | 02 | Month | 01 | Day |
https://www.rbmojournal.com/article/S1472-6483(20)30510-1/abstract
Published
https://www.rbmojournal.com/article/S1472-6483(20)30510-1/abstract
927
Providing fertility education using a chatbot improved fertility knowledge and intentions to optimise preconception behaviour without increasing anxiety, but the improvement in knowledge was small. Further technical development and exploration of personal affinity for technology is required.
2020 | Year | 09 | Month | 28 | Day |
2020 | Year | 09 | Month | 10 | Day |
Participants were about 29 years old, and more than 60% had a university education, which was higher than the national university enrolment ratio of 43% among female high school graduates in 2008. Less than half were married, and most had no children. Baseline sociodemographic status was well-balanced between groups.
An online market research company, which has a nationwide social research panel of more than 1 million registrants, sent a pre-screening questionnaire regarding the inclusion criteria to 196195 randomly selected female registrants aged 20-34 years. Of the 10000 women who responded to the screening questions, 2524 were eligible. Among the 1,813 who were randomly selected from the eligible respondents and received recruitment emails, 927 completed the survey. Participants were then randomized to one of the three previously described groups using a computerized central allocation system. Participants did not learn of their group assignment until they completed the post-test survey.
No adverse events.
The percentages of correct scores on the pre-test CFKS-J were similar between groups. A repeated-measures ANOVA of the scores on the CFKS-J showed a significant interaction between group and time. Simple effects of time for each group showed that knowledge improved over time in the IG and CG1. The post-test CFKS-J score for the IG was 7.7 points lower than that of CG1 and 6.7 points higher than that of CG2.
Main results already published
2019 | Year | 03 | Month | 10 | Day |
2018 | Year | 03 | Month | 29 | Day |
2019 | Year | 03 | Month | 13 | Day |
2019 | Year | 03 | Month | 22 | Day |
2019 | Year | 02 | Month | 01 | Day |
2020 | Year | 09 | Month | 28 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000040108
Research Plan | |
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Registered date | File name |
2020/05/22 | 研究計画書(チャットボット)20190308.pdf |
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