Effectiveness of Web-Based Tailored Advice on Parents’ Child Safety Behaviors: Randomized Controlled Trial

Beelen, Mirjam Elisabeth Johanna van; Beirens, Tinneke M J; Hertog, Paul den; Beeck, Eduard F. van; Raat, Hein

doi:10.2196/jmir.2521

Cited by 38 publications

(37 citation statements)

References 39 publications

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“…Rigorous trials of eHealth interventions in paediatric cardiology, personalised and tailored to the user, enhanced with multimedia capability, and integrating available evidence. Outcome trials of eHealth interventions in other areas have demonstrated significant changes in user knowledge, sense of empowerment, and health behaviours and outcomes [33][34][35] Parents' preferences for eHealth format, features, functions, and content:…”

Section: Financial Supportmentioning

confidence: 99%

eHealth literacy and preferences for eHealth resources in parents of children with complex CHD

et al. 2016

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A total of 132 parents (83 mothers, 49 fathers) completed the survey (response rate: 50%). Mothers (96%) were more likely to access eHealth resources than fathers (83%, χ2=6.74, p=0.009). Despite high eHealth resource use, eHealth literacy was relatively low, with results demonstrating considerable and widespread gaps in awareness of, access to, and communication about eHealth resources. Over 50% of parents reported that decisions regarding their child's healthcare were influenced, to some extent, by web-based resources. Barriers to doctor-patient communication about eHealth included limited consultation time and concern about doctors' disapproval. Participants demonstrated a strong desire for "eHealth prescriptions" from their child's healthcare team, and perceived a wide range of eHealth topics as highly important, including treatment-related complications as well as physical, cognitive, and emotional development in children with CHD. Discussion Results suggest a need for stronger, more proactive partnerships between clinicians, researchers, educators, technologists, and patients and families to bring about meaningful innovations in the development and implementation of eHealth interventions in paediatric cardiology.

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Section: Financial Supportmentioning

confidence: 99%

eHealth literacy and preferences for eHealth resources in parents of children with complex CHD

et al. 2016

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“…46,56 Web-based education has been proven to be an effective tool for teaching safety behaviors. 64 "EyePlaySafe" is an example of Web-based education designed to teach young children about common eye hazards around the home. 65 Injuryprevention organizations such as the Child Accident Prevention Authority (United Kingdom) and the Children's Health and Safety Association (Canada) have played a role in educating parents about common ocular hazards, for example, with leaflets aimed at highlighting the dangers associated with liquitab detergent dispensers and recommendations for the safe use of fireworks.…”

Section: Africamentioning

confidence: 99%

Eye Injury Prevention for the Pediatric Population

Hoskin

Philip

Yardley

et al. 2016

Asia-Pacific Journal of Ophthalmology

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Each year an estimated 3.3 to 5.7 million pediatric eye injuries occur worldwide. It is widely reported that 90% of ocular injuries are preventable. Our aim was to identify legislation and policies, education, and mandatory eye protection strategies that have successfully contributed to reducing rates of children's eye injuries. A literature search was conducted using the terms "pediatric" or "children" or "adolescent" and "ocular" or "eye" and "protection" or "injury prevention." Articles were retrieved based on titles and abstracts and assessed in the context of our research question. Strategies identified aimed at reducing ocular trauma fell into 3 broad categories: legislation and policies, education, and personal eye protection. Policies including restrictions on the sale and supply of certain consumer products, mandatory vehicle seatbelts, and laminated windscreens in vehicles have assisted in reducing children's eye injuries. Educational tools aimed at children and their caregivers have been effective in changing attitudes to eye health and safety. Effective pediatric eye injury prevention systems require a multifactorial approach combining legislation, policies, standards, education, and personal eye protection to limit exposure to ocular hazards. A paucity of standardized measurement and lack of funding have limited advances in the field of children's eye injury prevention. Improved eye injury surveillance and research funding along with collaboration with health care providers are important components for strategies to prevent pediatric ocular trauma.

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“…First, Web-based computer-tailored interventions can adapt intervention materials according to the specific situation, characteristics, and needs of an individual and accordingly make information more personally relevant for the individual [9-11]. Second, research has shown that tailored messages are more likely to be read, understood, discussed with others, and remembered by the receiver [12-14]. Third, due to the fact that more and more people are using the Internet to search for health-related information and health advice [15-17], Web-based computer-tailored health interventions offer an effective method to reach a broad population cost effectively [18-22].…”

Section: Introductionmentioning

confidence: 99%

mHealth or eHealth? Efficacy, Use, and Appreciation of a Web-Based Computer-Tailored Physical Activity Intervention for Dutch Adults: A Randomized Controlled Trial

Quiñonez¹,

Walthouwer²,

Schulz³

et al. 2016

J Med Internet Res

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BackgroundUntil a few years ago, Web-based computer-tailored interventions were almost exclusively delivered via computer (eHealth). However, nowadays, interventions delivered via mobile phones (mHealth) are an interesting alternative for health promotion, as they may more easily reach people 24/7.ObjectiveThe first aim of this study was to compare the efficacy of an mHealth and an eHealth version of a Web-based computer-tailored physical activity intervention with a control group. The second aim was to assess potential differences in use and appreciation between the 2 versions.MethodsWe collected data among 373 Dutch adults at 5 points in time (baseline, after 1 week, after 2 weeks, after 3 weeks, and after 6 months). We recruited participants from a Dutch online research panel and randomly assigned them to 1 of 3 conditions: eHealth (n=138), mHealth (n=108), or control condition (n=127). All participants were asked to complete questionnaires at the 5 points in time. Participants in the eHealth and mHealth group received fully automated tailored feedback messages about their current level of physical activity. Furthermore, they received personal feedback aimed at increasing their amount of physical activity when needed. We used analysis of variance and linear regression analyses to examine differences between the 2 study groups and the control group with regard to efficacy, use, and appreciation.ResultsParticipants receiving feedback messages (eHealth and mHealth together) were significantly more physically active after 6 months than participants in the control group (B=8.48, df=2, P=.03, Cohen d=0.27). We found a small effect size favoring the eHealth condition over the control group (B=6.13, df=2, P=.09, Cohen d=0.21). The eHealth condition had lower dropout rates (117/138, 84.8%) than the mHealth condition (81/108, 75.0%) and the control group (91/127, 71.7%). Furthermore, in terms of usability and appreciation, the eHealth condition outperformed the mHealth condition with regard to participants receiving (t182=3.07, P=.002) and reading the feedback messages (t181=2.34, P=.02), as well as the clarity of the messages (t181=1.99, P=.049).ConclusionsWe tested 2 Web-based computer-tailored physical activity intervention versions (mHealth and eHealth) against a control condition with regard to efficacy, use, usability, and appreciation. The overall effect was mainly caused by the more effective eHealth intervention. The mHealth app was rated inferior to the eHealth version with regard to usability and appreciation. More research is needed to assess how both methods can complement each other.Trial RegistrationNetherlands Trial Register: NTR4503; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=4503 (Archived by WebCite at http://www.webcitation.org/6lEi1x40s)

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Effectiveness of Web-Based Tailored Advice on Parents’ Child Safety Behaviors: Randomized Controlled Trial

Cited by 38 publications

References 39 publications

eHealth literacy and preferences for eHealth resources in parents of children with complex CHD

eHealth literacy and preferences for eHealth resources in parents of children with complex CHD

Eye Injury Prevention for the Pediatric Population

mHealth or eHealth? Efficacy, Use, and Appreciation of a Web-Based Computer-Tailored Physical Activity Intervention for Dutch Adults: A Randomized Controlled Trial

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