ArticleChild abuse & neglect2014
Bias in child maltreatment self-reports using interactive voice response (IVR).
Article in Child abuse & neglect, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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Who cites it
9 citing papers in PubMed, 15 citations in OpenAlex.
- Automated and Interviewer-Administered Mobile Phone Surveys in Burkina Faso: Sociodemographic Differences Among Female Mobile Phone Survey Respondents and Nonrespondents.JMIR mHealth and uHealth · 2020Article
- Individual- and County-Level Religious Participation, Corporal Punishment, and Physical Abuse of Children: An Exploratory study.Journal of interpersonal violence · 2019Article
- Types of Substance Use and Punitive Parenting: A Preliminary Exploration.Journal of social work practice in the addictions · 2019Article
- Unpacking the parallel effects of parental alcohol misuse and low income on risk of supervisory neglect.Child abuse & neglect · 2017Article
- Testing a Social Mechanism: Does Alcohol Outlet Density Moderate the Relationship Between Levels of Alcohol Use and Child Physical Abuse?Violence and victims · 2016Article
- Understanding the Interplay Between Neighborhood Structural Factors, Social Processes, and Alcohol Outlets on Child Physical Abuse.Child maltreatment · 2015Article
- Examining the relationship between marijuana use, medical marijuana dispensaries, and abusive and neglectful parenting.Child abuse & neglect · 2015Article
- Understanding the Role of Context-Specific Drinking in Neglectful Parenting Behaviors.Alcohol and alcoholism (Oxford, Oxfordshire) · 2015Article
- Social support, collective efficacy, and child physical abuse: does parent gender matter?Child maltreatment · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Few methods estimate the prevalence of child maltreatment in the general population due to concerns about socially desirable responding and mandated reporting laws. Innovative methods, such as interactive voice response (IVR), may obtain better estimates that address these concerns. This study examined the utility of interactive voice response (IVR) for child maltreatment behaviors by assessing differences between respondents who completed and did not complete a survey using IVR technology. A mixed-mode telephone survey was conducted in English and Spanish in 50 cities in California during 2009. Caregivers (n=3,023) self-reported abusive and neglectful parenting behaviors for a focal child under the age of 13 using computer-assisted telephone interviewing and IVR. We used hierarchical generalized linear models to compare survey completion by caregivers nested within cities for the full sample and age-specific ranges. For demographic characteristics, caregivers born in the United States were more likely to complete the survey when controlling for covariates. Parenting stress, provision of physical needs, and provision of supervisory needs were not associated with survey completion in the full multivariate model. For caregivers of children 0-4 years (n=838), those reporting they could often or always hear their child from another room had a higher likelihood of survey completion. The findings suggest IVR could prove to be useful for future surveys that aim to estimate abusive and/or neglectful parenting behaviors given the limited bias observed for demographic characteristics and problematic parenting behaviors. Further research should expand upon its utility to advance estimation rates.
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Registered trials
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.