Joelle Yan Xin CHUA , Mahesh CHOOLANI , Cornelia Yin Ing CHEE , Huso YI , Yiong Huak CHAN , Joan Gabrielle LALOR , Yap Seng CHONG , Shefaly SHOREY
{"title":"数字医疗保健助手 Parentbot 对育儿效果的影响:随机对照试验","authors":"Joelle Yan Xin CHUA , Mahesh CHOOLANI , Cornelia Yin Ing CHEE , Huso YI , Yiong Huak CHAN , Joan Gabrielle LALOR , Yap Seng CHONG , Shefaly SHOREY","doi":"10.1016/j.ijnurstu.2024.104906","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Transitioning to parenthood is a stressful period that makes parents more prone to depression and anxiety. Mobile application-based interventions and chatbots could improve parents' well-being across the perinatal period. Hence, the Parentbot - a Digital healthcare Assistant was developed to support parents across the perinatal period.</div></div><div><h3>Objective</h3><div>To evaluate the effectiveness of the Parentbot - a Digital healthcare Assistant in improving parenting self-efficacy (primary outcome), stress, depression, anxiety, social support, parent–child bonding, and parenting satisfaction (secondary outcomes) among parents across the perinatal period.</div></div><div><h3>Methods</h3><div>A two-group pre-test and repeated post-test randomized controlled trial was used where 118 heterosexual couples (118 mothers and 118 fathers) were recruited from a public tertiary hospital in Singapore. Couples were randomly assigned to the intervention group receiving the Parentbot - a Digital healthcare Assistant and standardized care (59 couples) and a control group receiving the standard care only (59 couples). Data collection occurred at baseline (><!--> <!-->24 weeks of gestation – age of viability in Singapore) and at one month (post-test 1) and three months (post-test 2) postpartum. Linear mixed models were used to compare parental outcomes between groups and a linear mixed model with repeated measures was used to analyze within-group differences. General linear models were used to conduct subgroup analyses of mothers and fathers between groups.</div></div><div><h3>Results</h3><div>After adjusting for baseline values and sociodemographic covariates, parents in the intervention group had higher parenting self-efficacy compared to the control group at one-month postpartum (mean difference = 1.22, 95 % CI: 0.06 to 2.39, p = 0.04; Cohen standardized effect size = 0.14), and mothers had lower state-anxiety compared to the control group at three-months postpartum (mean difference = −<!--> <!-->2.21, 95 % CI: −<!--> <!-->4.18 to −<!--> <!-->0.24, p = 0.03; Cohen standardized effect size = −<!--> <!-->0.22). Non-statistically significant differences between groups were reported for the other parental outcomes.</div></div><div><h3>Conclusions</h3><div>This study showed that the Parentbot - a Digital healthcare Assistant is feasible and promising in supporting parents especially enhancing their self-efficacy across the perinatal period. The lack of statistical significance in most outcomes showed that further evaluation of the intervention is required among varied populations of parents across different cultural and geographical contexts. The intervention could be enhanced to support more diverse groups of parents including single parents, parents with high-risk pregnancies and infants with medical complications, and parents with limited English language skills. Future trials could explore the cost-effectiveness of such interventions and investigate infant outcomes for a more comprehensive assessment of mobile application-based perinatal interventions.</div></div><div><h3>Trial registration</h3><div><span><span>Clinicaltrails.gov</span><svg><path></path></svg></span> (<span><span>NCT05463926</span><svg><path></path></svg></span>).</div></div>","PeriodicalId":50299,"journal":{"name":"International Journal of Nursing Studies","volume":"160 ","pages":"Article 104906"},"PeriodicalIF":7.5000,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The effectiveness of Parentbot - a digital healthcare assistant - on parenting outcomes: A randomized controlled trial\",\"authors\":\"Joelle Yan Xin CHUA , Mahesh CHOOLANI , Cornelia Yin Ing CHEE , Huso YI , Yiong Huak CHAN , Joan Gabrielle LALOR , Yap Seng CHONG , Shefaly SHOREY\",\"doi\":\"10.1016/j.ijnurstu.2024.104906\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Transitioning to parenthood is a stressful period that makes parents more prone to depression and anxiety. Mobile application-based interventions and chatbots could improve parents' well-being across the perinatal period. Hence, the Parentbot - a Digital healthcare Assistant was developed to support parents across the perinatal period.</div></div><div><h3>Objective</h3><div>To evaluate the effectiveness of the Parentbot - a Digital healthcare Assistant in improving parenting self-efficacy (primary outcome), stress, depression, anxiety, social support, parent–child bonding, and parenting satisfaction (secondary outcomes) among parents across the perinatal period.</div></div><div><h3>Methods</h3><div>A two-group pre-test and repeated post-test randomized controlled trial was used where 118 heterosexual couples (118 mothers and 118 fathers) were recruited from a public tertiary hospital in Singapore. Couples were randomly assigned to the intervention group receiving the Parentbot - a Digital healthcare Assistant and standardized care (59 couples) and a control group receiving the standard care only (59 couples). Data collection occurred at baseline (><!--> <!-->24 weeks of gestation – age of viability in Singapore) and at one month (post-test 1) and three months (post-test 2) postpartum. Linear mixed models were used to compare parental outcomes between groups and a linear mixed model with repeated measures was used to analyze within-group differences. General linear models were used to conduct subgroup analyses of mothers and fathers between groups.</div></div><div><h3>Results</h3><div>After adjusting for baseline values and sociodemographic covariates, parents in the intervention group had higher parenting self-efficacy compared to the control group at one-month postpartum (mean difference = 1.22, 95 % CI: 0.06 to 2.39, p = 0.04; Cohen standardized effect size = 0.14), and mothers had lower state-anxiety compared to the control group at three-months postpartum (mean difference = −<!--> <!-->2.21, 95 % CI: −<!--> <!-->4.18 to −<!--> <!-->0.24, p = 0.03; Cohen standardized effect size = −<!--> <!-->0.22). Non-statistically significant differences between groups were reported for the other parental outcomes.</div></div><div><h3>Conclusions</h3><div>This study showed that the Parentbot - a Digital healthcare Assistant is feasible and promising in supporting parents especially enhancing their self-efficacy across the perinatal period. The lack of statistical significance in most outcomes showed that further evaluation of the intervention is required among varied populations of parents across different cultural and geographical contexts. The intervention could be enhanced to support more diverse groups of parents including single parents, parents with high-risk pregnancies and infants with medical complications, and parents with limited English language skills. Future trials could explore the cost-effectiveness of such interventions and investigate infant outcomes for a more comprehensive assessment of mobile application-based perinatal interventions.</div></div><div><h3>Trial registration</h3><div><span><span>Clinicaltrails.gov</span><svg><path></path></svg></span> (<span><span>NCT05463926</span><svg><path></path></svg></span>).</div></div>\",\"PeriodicalId\":50299,\"journal\":{\"name\":\"International Journal of Nursing Studies\",\"volume\":\"160 \",\"pages\":\"Article 104906\"},\"PeriodicalIF\":7.5000,\"publicationDate\":\"2024-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Nursing Studies\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0020748924002190\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NURSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Nursing Studies","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0020748924002190","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NURSING","Score":null,"Total":0}
The effectiveness of Parentbot - a digital healthcare assistant - on parenting outcomes: A randomized controlled trial
Background
Transitioning to parenthood is a stressful period that makes parents more prone to depression and anxiety. Mobile application-based interventions and chatbots could improve parents' well-being across the perinatal period. Hence, the Parentbot - a Digital healthcare Assistant was developed to support parents across the perinatal period.
Objective
To evaluate the effectiveness of the Parentbot - a Digital healthcare Assistant in improving parenting self-efficacy (primary outcome), stress, depression, anxiety, social support, parent–child bonding, and parenting satisfaction (secondary outcomes) among parents across the perinatal period.
Methods
A two-group pre-test and repeated post-test randomized controlled trial was used where 118 heterosexual couples (118 mothers and 118 fathers) were recruited from a public tertiary hospital in Singapore. Couples were randomly assigned to the intervention group receiving the Parentbot - a Digital healthcare Assistant and standardized care (59 couples) and a control group receiving the standard care only (59 couples). Data collection occurred at baseline (> 24 weeks of gestation – age of viability in Singapore) and at one month (post-test 1) and three months (post-test 2) postpartum. Linear mixed models were used to compare parental outcomes between groups and a linear mixed model with repeated measures was used to analyze within-group differences. General linear models were used to conduct subgroup analyses of mothers and fathers between groups.
Results
After adjusting for baseline values and sociodemographic covariates, parents in the intervention group had higher parenting self-efficacy compared to the control group at one-month postpartum (mean difference = 1.22, 95 % CI: 0.06 to 2.39, p = 0.04; Cohen standardized effect size = 0.14), and mothers had lower state-anxiety compared to the control group at three-months postpartum (mean difference = − 2.21, 95 % CI: − 4.18 to − 0.24, p = 0.03; Cohen standardized effect size = − 0.22). Non-statistically significant differences between groups were reported for the other parental outcomes.
Conclusions
This study showed that the Parentbot - a Digital healthcare Assistant is feasible and promising in supporting parents especially enhancing their self-efficacy across the perinatal period. The lack of statistical significance in most outcomes showed that further evaluation of the intervention is required among varied populations of parents across different cultural and geographical contexts. The intervention could be enhanced to support more diverse groups of parents including single parents, parents with high-risk pregnancies and infants with medical complications, and parents with limited English language skills. Future trials could explore the cost-effectiveness of such interventions and investigate infant outcomes for a more comprehensive assessment of mobile application-based perinatal interventions.
期刊介绍:
The International Journal of Nursing Studies (IJNS) is a highly respected journal that has been publishing original peer-reviewed articles since 1963. It provides a forum for original research and scholarship about health care delivery, organisation, management, workforce, policy, and research methods relevant to nursing, midwifery, and other health related professions. The journal aims to support evidence informed policy and practice by publishing research, systematic and other scholarly reviews, critical discussion, and commentary of the highest standard. The IJNS is indexed in major databases including PubMed, Medline, Thomson Reuters - Science Citation Index, Scopus, Thomson Reuters - Social Science Citation Index, CINAHL, and the BNI (British Nursing Index).