Evidence map›Paper›PMID 31038465›Full record

ArticleJMIR mHealth and uHealth2019

Needs Analysis for a Parenting App to Prevent Unintentional Injury in Newborn Babies and Toddlers: Focus Group and Survey Study Among Chinese Caregivers.

Peishan Ning, Deyue Gao, Peixia Cheng, David C Schwebel, Xiang Wei, Liheng Tan, Wangxin Xiao, Jieyi He, Yanhong Fu, Bo Chen and 6 more

Open access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 27% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 16 citations in OpenAlex.

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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

16 authors at 3 institutions in 2 countries.

Peishan Ning *Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0002-9919-4495
Deyue Gao *Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0002-1908-828X
Peixia ChengDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0002-1008-8419
David C SchwebelDepartment of Psychology, University of Alabama at Birmingham, Birmingham, AL, United States.ORCID 0000-0002-2141-8970
Xiang WeiDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0001-8869-7049
Liheng TanDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0001-8888-1583
Wangxin XiaoDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0002-5478-8505
Jieyi HeDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0003-2988-181X
Yanhong FuDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0003-3576-2219
Bo ChenDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0002-9276-0167
Yang YangDepartment of Biostatistics, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States.ORCID 0000-0003-0428-5480
Jing DengDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0002-7801-4379
Yue WuDepartment of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0002-7365-0931
Renhe YuDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0002-9486-4453
Shukun LiInformation and Network Center, Central South University, Changsha, China.ORCID 0000-0001-6623-1133
Guoqing HuDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0002-5002-8015
Central South University · CNUniversity of Alabama · USUniversity of Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the growing popularity of mobile health technology, app-based interventions delivered by smartphone have become an increasingly important strategy toward injury prevention.

objectiveThis study aimed to develop a framework supporting the design of an app-based intervention to prevent unintentional injury, targeted for caregivers of Chinese children aged 0 to 6 years.

methodsA theory-based mixed-method study, including focus groups and Web-based quantitative survey, was performed. Adult caregivers who care for children aged 0 to 6 years and own a smartphone were recruited into 2 sequential stages of research. First, focus groups were conducted among the caregivers at community health care centers and preschools from December 2015 to March 2016. Focus groups (8-10 participants per group) explored awareness, experiences, and opinions of caregivers toward using an app to prevent unintentional injury among children. Second, based on the focus groups findings, a Web-based quantitative survey was designed and distributed to caregivers in November 2016; it collected information on specific needs for the app-based intervention. Thematic analysis and quantitative descriptive analyses were performed.

resultsIn total, 12 focus groups were completed, involving 108 caregivers. Most participants expressed a strong desire to learn knowledge and skills about unintentional child injury prevention and held positive attitudes toward app-based interventions. Participants expressed multiple preferences concerning the app-based intervention, including their contents, functions, interactive styles, installation and registration logistics, and privacy protection and information security. Following the focus groups, 1505 caregivers completed a WeChat-based quantitative survey, which generated roughly similar results to those of focus groups and added numerical metrics concerning participants' preferences on what to learn, when to learn it, and how to learn it. A detailed framework was established involving 5 components: (1) content design, (2) functional design, (3) interactive style, (4) installation and registration logistics, and (5) privacy protection and information security, and 15 specific requirements.

conclusionsWe developed a framework that can be used as a guide to design app-based interventions for parents and caregivers, specifically for unintentional injury prevention of children aged 0 to 6 years.

Indexed as

Accidental InjuriesAdolescentAdultCaregiversChildChild, PreschoolChinaFemaleFocus GroupsHumansInfantMaleMiddle AgedMobile ApplicationsNeeds AssessmentParentingchildeducationinjuryinterventionmhealthmobile healthparenting

Identifiers

PMID31038465
PMCPMC6658302
OpenAlexW2943528697

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.