ParentText User Engagement and Effectiveness Study
试验速览
- 阶段
- 不适用
- 状态
- 终止
- 入组人数
- 1,400
- 试验地点
- 1
- 主要终点
- Overall completion rate of ParentText Content
研究概览
简要总结
The study has two main aims. The first aim is to optimise user engagement in ParentText. The goal is to identify the optimal delivery of ParentText for parents/caregivers from low- and middle-income countries, using a randomised between-subjects factorial experimental design.
The second aim is to examine the preliminary effectiveness of the chatbot adaption of the Parenting for Lifelong Health programme, ParentText, on the primary outcome of child maltreatment and secondary outcomes of positive parenting, parental self-efficacy, parental communication about sexual abuse, financial stress, parental stress, child behaviour problems, and intimate partner violence.
This study is part of a multi-phase research project. The full research project has been registered to the Open Science Framework platform.
To address the first aim, the investigators will be conducting a factorial experiment which will examine the impact of four components, Personalisation (High/Low), Gamification (On/Off), Gender Targeting (On/Off), Frequency of message (1 per day/ 3 per day) on participant engagement. The factorial experiment will be conducted in two countries, Malaysia and South Africa. Within each country, the investigators have local partners who will be involved in deploying the intervention and recruiting participants. Parents/caregivers will be primarily recruited through country-specific UNICEF U-Report platforms and government partners. RapidPro, the programme on which the chatbot is deployed, will randomly allocate participants to the 16 experimental conditions. The purpose of the factorial experiment is to estimate the main and interaction effects of the four components. Based on the results the investigators will optimise the delivery of ParentText by selecting components or components levels that promote the highest level of engagement based on effect size.
The second aim will be addressed by conducting latent growth curve models or multi-level models, to examine the changes in outcome variables over time. The experiment will be conducted across five countries, Malaysia, South Africa, the Philippines, Jamaica and Sri Lanka. Within each country, the investigators have local partners who will be involved in deploying the intervention and recruiting participants.
详细描述
Research has shown that the modification of parenting programmes from being held in-person to being delivered digitally has been successful. Meta-analytic and systematic reviews carried out in HMICs have illustrated that digital parenting interventions have similar effect sizes to in-person interventions. Although these results are promising, there are few gaps within the literature that have not been addressed. First, the majority of research is being conducted in High-Income Countries (HICs). Therefore, results cannot be generalised to LMICs, where differences in context and culture could have an impact on the effectiveness of digital parenting interventions. Second, parenting interventions are deployed on a variety of different technological platforms, however, a limited amount of research has focused on examining emerging platforms, with the focus primarily being on app or internet-based interventions. Therefore little is known in regards to the effectiveness of more novel intervention platforms, such as chatbots.
Whilst the digitalisation of parenting programmes allows for the widespread dissemination and utilisation of the intervention, engagement rates for digital interventions remain low. Engagement with digital behaviour change interventions can be described as the extent (e.g. amount, frequency, duration, depth) of usage, and as a subjective experience characterised by attention, interest and affect. Low engagement compromises the effectiveness of parenting programmes, as the user is required to enrol and engage with the intervention for the programme to have an influence on behaviour. Intervention developers have begun employing technological platforms, such as chatbots, that are designed with the intention to overcome low user engagement rates.
Parenting research investigating digital intervention components which facilitate engagement remains scarce. Broadening the scope beyond the field of parenting, reviews of quantitative and qualitative research examining digital behaviour change interventions, identified an assortment of behaviour change techniques and persuasive system design principles which have been found to facilitate and impede engagement and effectiveness. However, few consistent patterns emerged regarding what techniques and principles consistently facilitate engagement and effectiveness, and for whom. There is a requirement for the isolated techniques and principles utilised within digital parenting interventions to be tested, to identify which intervention components influence engagement and intervention effectiveness and apply this research to optimise parenting interventions.
The first aim of this study is to optimise user engagement in ParentText and to identify the optimal delivery of ParentText for parents/caregivers from low- and middle-income countries. The investigators will be addressing three research questions:
- How do different component levels impact ParentText user engagement and retention in terms of a) message personalisation (high/low), b) gendered targeted messages (on/off), c) gamification of module completions (on/off) and d) frequency of messages (high/low)?
- Are there any interaction effects between different component levels of ParentText on user engagement and retention?
- How does the effectiveness of each component or component level on user engagement vary by different population characteristics (i.e., parent/child age and gender, parent/caregiver marital status, parent/caregiver relationship to the child, and experience of COVID-19)?
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Factorial
- 主要目的
- Prevention
- 盲法
- Double (Participant, Investigator)
入排标准
- 年龄范围
- 18 Years 至 99 Years(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •for the participating parents/caregivers: over 18 years old, currently caring for a child between the ages of 0 to 17 years, access to a phone which can either receive SMS or has access to internet, and has provided consent to participate in the study.
排除标准
- 未提供
研究组 & 干预措施
Condition 1: Low Personalisation+Low Frequency
The intervention will have low levels of personalisation and one message a day will be sent to participants.
干预措施: ParentText (Behavioral)
Condition 2: High Personalisation+Low Frequency
The intervention will have high levels of personalisation (utilise the user's nickname and their child's nickname) and one message a day will be sent to participants.
干预措施: ParentText (Behavioral)
Condition 3: Low Personalisation+High Frequency
The intervention will have low levels of personalisation and three messages a day will be sent to participants.
干预措施: ParentText (Behavioral)
Condition 4: High Personalisation+High Frequency
The intervention will have high levels of personalisation and three messages a day will be sent to participants.
干预措施: ParentText (Behavioral)
Condition 5: High Personalisation+Low Frequency+Gamification
The intervention will have high levels of personalisation (utilise the user's nickname and their child's nickname), contains gamified progress updates, and one message a day will be sent to participants.
干预措施: ParentText (Behavioral)
Condition 6: Low Personalisation+High Frequency+Gamification
The intervention will have low levels of personalisation, contains gamified progress updates, and three messages a day will be sent to participants.
干预措施: ParentText (Behavioral)
Condition 7: High Personalisation+High Frequency+Gamification
The intervention will have high levels of personalisation (utilise the user's nickname and their child's nickname), contains gamified progress updates, and three message a day will be sent to participants.
干预措施: ParentText (Behavioral)
Condition 8: Low Personalisation+Low Frequency+Gender Targeting
The intervention will have low levels of personalisation, contains gender targeted messages, and one message a day will be sent to participants.
干预措施: ParentText (Behavioral)
Condition 9: High Personalisation+Low Frequency+Gender Targeting
The intervention will have high levels of personalisation (utilise the user's nickname and their child's nickname), contains gender targeted messages, and one message a day will be sent to participants.
干预措施: ParentText (Behavioral)
Condition 10: Low Personalisation + High Frequency + Gender Targeting
The intervention will have low levels of personalisation, contains gender targeted messages, and three message a day will be sent to participants.
干预措施: ParentText (Behavioral)
Condition 11: High Personalisation + High Frequency + Gender Targeting
The intervention will have high levels of personalisation (utilise the user's nickname and their child's nickname), contains gender targeted messages, and three message a day will be sent to participants.
干预措施: ParentText (Behavioral)
Condition 12: Low Personalisation + Low Frequency + Gamification + Gender Targeting
The intervention will have low levels of personalisation, contains gender targeted messages and gamified progress updates. Participants will be sent one message a day.
干预措施: ParentText (Behavioral)
Condition 13: High Personalisation + Low Frequency + Gamification + Gender Targeting
The intervention will have high levels of personalisation (utilise the user's nickname and their child's nickname), contains gender targeted messages and gamified progress updates. Participants will be sent one message a day.
干预措施: ParentText (Behavioral)
Condition 14: Low Personalisation + High Frequency + Gamification + Gender Targeting
The intervention will have low levels of personalisation (utilise the user's nickname and their child's nickname), contains gender targeted messages and gamified progress updates. Participants will be sent three message a day.
干预措施: ParentText (Behavioral)
Condition 15: High Personalisation + High Frequency + Gamification + Gender Targeting
The intervention will have high levels of personalisation (utilise the user's nickname and their child's nickname), contains gender targeted messages and gamified progress updates. Participants will be sent three messages a day.
干预措施: ParentText (Behavioral)
Condition 16: Low Personalisation+Low Frequency+Gamification
The intervention will have low levels of personalisation (utilise the user's nickname and their child's nickname), contains gamified progress updates, and one message a day will be sent to participants.
干预措施: ParentText (Behavioral)
结局指标
主要结局
Overall completion rate of ParentText Content
时间窗: Through study completion, an average of 16 weeks
Number of the overall content the participant completed. This is a measure of completion of the programme.
Overall response to ParentText messages
时间窗: Through study completion, an average of 16 weeks
Number of many messages the participants responded to or timed out from the intervention (no engagement for 2 hours or more). This is a measure of engagement with the chatbot.
Change over time in Child Maltreatment
时间窗: Through study completion, an average of 16 weeks
Child maltreatment will be a composite measure utilising two items adapted from the reduced version of the ISPCAN Child Abuse Screening Tool-Trial Parent Version (ICAST-TP) (Meinck et al., 2018), which is adapted from the survey instrument ICAST-Parent Version (ICAST-P) (Runyan et al., 2009). The ICAST-P was developed to be deployed multi-nationally and multi-culturally and has been successfully utilised in LMICs (Nøkleby et al., 2019). The ICAST-TP measures parental reports of incidences of abuse perpetrated against their child over the past week and asks parents/caregivers to answer a frequency score on a scale of 0 to 7 times. One item will assess physical abuse, "How many days in the past week did you physically discipline your children by hitting, spanking, or slapping with your hand or an object like a stick or a belt?". The other item will assess emotional abuse, "How many days in the past week did you shout, scream, or yell at your children?".
次要结局
- Rate of response to tip offers(Through study completion, an average of 16 weeks)
- Rate of response to calm messages(Through study completion, an average of 16 weeks)
- Rate of response to check in messages(Through study completion, an average of 16 weeks)
- Participant Active Dropout(Through study completion, an average of 16 weeks)
- Change over time in Emotional Abuse(Through study completion, an average of 16 weeks)
- Change over time in Parental Self-efficacy(Through study completion, an average of 16 weeks)
- Change over time in Female IPV Victimisation(Through study completion, an average of 16 weeks and 1 and 3 months follow up)
- Rate of response to praise messages(Through study completion, an average of 16 weeks)
- The completion rate of parenting tips(Through study completion, an average of 16 weeks)
- Change over time in Child Behaviour Problems(Through study completion, an average of 16 weeks)
- Change over time in Male IPV Perpetration(Through study completion, an average of 16 weeks and 1 and 3 months follow up)
- Rate of response to supportive messages(Through study completion, an average of 16 weeks)
- The number of messages the participant sent to the chatbot within a parenting skill.(Through study completion, an average of 16 weeks)
- The completion rate of self-led content(Through study completion, an average of 16 weeks)
- Experience with the skill(Through study completion, an average of 16 weeks)
- Response to survey questions(Through study completion, an average of 16 weeks)
- Change over time in Positive Parenting(Through study completion, an average of 16 weeks)
- Change over time in Parental Communication about Sexual Abuse Prevention(Through study completion, an average of 16 weeks)
- Change over time in Attitudes towards gender roles and IPV(Through study completion, an average of 16 weeks and 1 and 3 months follow up)
- The completion rate of home practice(Through study completion, an average of 16 weeks)
- Consent to survey(Through study completion, an average of 16 weeks)
- Change over time in Parenting Stress(Through study completion, an average of 16 weeks)
- The completion rate of survey assessments(Through study completion, an average of 16 weeks)
- Participant Passive Dropout(Through study completion, an average of 16 weeks)
- Change over time in Physical Abuse(Through study completion, an average of 16 weeks)
- Change over time in Financial Stress(Through study completion, an average of 16 weeks)
- Gender equitable behaviours(Through study completion, an average of 16 weeks and 1 and 3 months follow up)
研究者
DrJamieLachman
Senior Research and Teaching Fellow
University of Oxford
