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Reducing child abuse amongst adolescents in low- and middle-income countries: A pre-post trial in South Africa

Overview of attention for article published in BMC Public Health, July 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Title
Reducing child abuse amongst adolescents in low- and middle-income countries: A pre-post trial in South Africa
Published in
BMC Public Health, July 2016
DOI 10.1186/s12889-016-3262-z
Pubmed ID
Authors

Lucie Cluver, Franziska Meinck, Alexa Yakubovich, Jenny Doubt, Alice Redfern, Catherine Ward, Nasteha Salah, Sachin De Stone, Tshiamo Petersen, Phelisa Mpimpilashe, Rocio Herrero Romero, Lulu Ncobo, Jamie Lachman, Sibongile Tsoanyane, Yulia Shenderovich, Heidi Loening, Jasmina Byrne, Lorraine Sherr, Lauren Kaplan, Frances Gardner

Abstract

No known studies have tested the effectiveness of child abuse prevention programmes for adolescents in low- or middle-income countries. 'Parenting for Lifelong Health' ( http://tiny.cc/whoPLH ) is a collaborative project to develop and rigorously test abuse-prevention parenting programmes for free use in low-resource contexts. Research aims of this first pre-post trial in South Africa were: i) to identify indicative effects of the programme on child abuse and related outcomes; ii) to investigate programme safety for testing in a future randomised trial, and iii) to identify potential adaptations. Two hundred thirty participants (adolescents and their primary caregivers) were recruited from schools, welfare services and community-sampling in rural, high-poverty South Africa (no exclusion criteria). All participated in a 12-week parenting programme, implemented by local NGO childcare workers to ensure real-world external validity. Standardised pre-post measures with adolescents and caregivers were used, and paired t-tests were conducted for primary outcomes: abuse (physical, emotional abuse and neglect), adolescent behaviour problems and parenting (positive and involved parenting, poor monitoring and inconsistent discipline), and secondary outcomes: mental health, social support and substance use. Participants reported high levels of socio-economic deprivation, e.g. 60 % of adolescents had either an HIV-positive caregiver or were orphaned by AIDS, and 50 % of caregivers experienced intimate partner violence. i) indicative effects: Primary outcomes comparing pre-test and post-test assessments showed reductions reported by adolescents and caregivers in child abuse (adolescent report 63.0 % pre-test to 29.5 % post-test, caregiver report 75.5 % pre-test to 36.5 % post-test, both p < 0.001) poor monitoring/inconsistent discipline (p < .001), adolescent delinquency/aggressive behaviour (both p < .001), and improvements in positive/involved parenting (p < .01 adolescent report, p < .001 caregiver report). Secondary outcomes showed improved social support (p < .001 adolescent and caregiver reports), reduced parental and adolescent depression (both p < .001), parenting stress (p < .001 caregiver report) and caregiver substance use (p < .002 caregiver report). There were no changes in adolescent substance use. No negative effects were detected. ii) Programme acceptability and attendance was high. There was unanticipated programme diffusion within some study villages, with families initiating parenting groups in churches, and diffusion through school assemblies and religious sermons. iii) potential adaptations identified included the need to strengthen components on adolescent substance use and to consider how to support spontaneous programme diffusion with fidelity. The programme showed no signs of harm and initial evidence of reductions in child abuse and improved caregiver and adolescent outcomes. It showed high acceptability and unexpected community-level diffusion. Findings indicate needs for adaptations, and suitability for the next research step of more rigorous testing in randomised trials, using cluster randomization to allow for diffusion effects.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 450 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 450 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 67 15%
Student > Ph. D. Student 52 12%
Researcher 43 10%
Student > Bachelor 35 8%
Student > Doctoral Student 34 8%
Other 56 12%
Unknown 163 36%
Readers by discipline Count As %
Psychology 81 18%
Social Sciences 62 14%
Medicine and Dentistry 54 12%
Nursing and Health Professions 40 9%
Business, Management and Accounting 5 1%
Other 36 8%
Unknown 172 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 November 2021.
All research outputs
#5,189,593
of 25,559,053 outputs
Outputs from BMC Public Health
#6,141
of 17,695 outputs
Outputs of similar age
#86,039
of 370,813 outputs
Outputs of similar age from BMC Public Health
#132
of 355 outputs
Altmetric has tracked 25,559,053 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,695 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has gotten more attention than average, scoring higher than 65% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 370,813 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 355 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.