Skip to main content
Top
Published in: BMC Public Health 1/2018

Open Access 01-12-2018 | Research article

Implementation of the Good School Toolkit in Uganda: a quantitative process evaluation of a successful violence prevention program

Authors: Louise Knight, Elizabeth Allen, Angel Mirembe, Janet Nakuti, Sophie Namy, Jennifer C. Child, Joanna Sturgess, Nambusi Kyegombe, Eddy J. Walakira, Diana Elbourne, Dipak Naker, Karen M. Devries

Published in: BMC Public Health | Issue 1/2018

Login to get access

Abstract

Background

The Good School Toolkit, a complex behavioural intervention designed by Raising Voices a Ugandan NGO, reduced past week physical violence from school staff to primary students by an average of 42% in a recent randomised controlled trial. This process evaluation quantitatively examines what was implemented across the twenty-one intervention schools, variations in school prevalence of violence after the intervention, factors that influence exposure to the intervention and factors associated with students’ experience of physical violence from staff at study endline.

Methods

Implementation measures were captured prospectively in the twenty-one intervention schools over four school terms from 2012 to 2014 and Toolkit exposure captured in the student (n = 1921) and staff (n = 286) endline cross-sectional surveys in 2014. Implementation measures and the prevalence of violence are summarised across schools and are assessed for correlation using Spearman’s Rank Correlation Coefficient. Regression models are used to explore individual factors associated with Toolkit exposure and with physical violence at endline.

Results

School prevalence of past week physical violence from staff against students ranged from 7% to 65% across schools at endline. Schools with higher mean levels of teacher Toolkit exposure had larger decreases in violence during the study. Students in schools categorised as implementing a ‘low’ number of program school-led activities reported less exposure to the Toolkit. Higher student Toolkit exposure was associated with decreased odds of experiencing physical violence from staff (OR: 0.76, 95%CI: 0.67-0.86, p-value< 0.001). Girls, students reporting poorer mental health and students in a lower grade were less exposed to the toolkit. After the intervention, and when adjusting for individual Toolkit exposure, some students remained at increased risk of experiencing violence from staff, including, girls, students reporting poorer mental health, students who experienced other violence and those reporting difficulty with self-care.

Conclusions

Our results suggest that increasing students and teachers exposure to the Good School Toolkit within schools has the potential to bring about further reductions in violence. Effectiveness of the Toolkit may be increased by further targeting and supporting teachers’ engagement with girls and students with mental health difficulties.

Trial registration

The trial is registered at clinicaltrials.​gov, NCT01678846, August 24th 2012.
Appendix
Available only for authorised users
Literature
1.
go back to reference Devries KM, et al. School violence, mental health, and educational performance in Uganda. Pediatrics. 2014;133(1):e129–37.CrossRefPubMed Devries KM, et al. School violence, mental health, and educational performance in Uganda. Pediatrics. 2014;133(1):e129–37.CrossRefPubMed
2.
go back to reference UNICEF, Violence against Children in Tanzania: Findings from a National Survey, 2009. Summary report on the prevalence of sexual, physical and emotional violence, context of sexual violence, and health and Behavioural consequences of violence experienced in childhood. . 2011, UNICEF Tanzania, Centers for Disease Control and Prevention, and Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania. UNICEF, Violence against Children in Tanzania: Findings from a National Survey, 2009. Summary report on the prevalence of sexual, physical and emotional violence, context of sexual violence, and health and Behavioural consequences of violence experienced in childhood. . 2011, UNICEF Tanzania, Centers for Disease Control and Prevention, and Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
3.
go back to reference UNICEF. Violence against children in Kenya: findings from a 2010 National Survey. Nairobi, Kenya: Division of Violence Prevention: National Center for Injury Prevention and Control; 2012. UNICEF. Violence against children in Kenya: findings from a 2010 National Survey. Nairobi, Kenya: Division of Violence Prevention: National Center for Injury Prevention and Control; 2012.
4.
go back to reference Devries KM, et al. The good school toolkit for reducing physical violence from school staff to primary school students: a cluster-randomised controlled trial in Uganda. Lancet Glob Health. 2015;3(7):e378–86.CrossRefPubMedPubMedCentral Devries KM, et al. The good school toolkit for reducing physical violence from school staff to primary school students: a cluster-randomised controlled trial in Uganda. Lancet Glob Health. 2015;3(7):e378–86.CrossRefPubMedPubMedCentral
6.
go back to reference Moore GF, Audrey S, Barker M, Bond L, Bonell C, Hardeman W, et al. Process evaluation of complex interventions: Medical Research Council guidance. BMJ. 2015;350:h1258. Moore GF, Audrey S, Barker M, Bond L, Bonell C, Hardeman W, et al. Process evaluation of complex interventions: Medical Research Council guidance. BMJ. 2015;350:h1258.
7.
go back to reference Wierenga D, et al. What is actually measured in process evaluations for worksite health promotion programs: a systematic review. BMC Public Health. 2013;13:1190.CrossRefPubMedPubMedCentral Wierenga D, et al. What is actually measured in process evaluations for worksite health promotion programs: a systematic review. BMC Public Health. 2013;13:1190.CrossRefPubMedPubMedCentral
8.
go back to reference Hargreaves JR, et al. Measuring implementation strength: lessons from the evaluation of public health strategies in low- and middle-income settings. Measuring implementation strength. 2016;31(7):860–7. Hargreaves JR, et al. Measuring implementation strength: lessons from the evaluation of public health strategies in low- and middle-income settings. Measuring implementation strength. 2016;31(7):860–7.
9.
go back to reference Plummer ML, et al. A process evaluation of a school-based adolescent sexual health intervention in rural Tanzania: the MEMA kwa Vijana programme. Health Educ Res. 2007;22(4):500–12.CrossRefPubMed Plummer ML, et al. A process evaluation of a school-based adolescent sexual health intervention in rural Tanzania: the MEMA kwa Vijana programme. Health Educ Res. 2007;22(4):500–12.CrossRefPubMed
10.
go back to reference Bonell C, Jamal F, Harden A, et al. Systematic review of the effects of schools and school environment interventions on health: evidence mapping and synthesis. Southampton (UK): NIHR Journals Library; 2013. (Public Health Research, No. 1.1.) Chapter 8, Research question 3: process evaluations. Available from: https://www.ncbi.nlm.nih.gov/books/NBK262778/. Bonell C, Jamal F, Harden A, et al. Systematic review of the effects of schools and school environment interventions on health: evidence mapping and synthesis. Southampton (UK): NIHR Journals Library; 2013. (Public Health Research, No. 1.1.) Chapter 8, Research question 3: process evaluations. Available from: https://​www.​ncbi.​nlm.​nih.​gov/​books/​NBK262778/​.
11.
go back to reference Devries KM, et al. The good schools toolkit to prevent violence against children in Ugandan primary schools: study protocol for cluster-randomised controlled trial. Trials. 2013;14:232.CrossRefPubMedPubMedCentral Devries KM, et al. The good schools toolkit to prevent violence against children in Ugandan primary schools: study protocol for cluster-randomised controlled trial. Trials. 2013;14:232.CrossRefPubMedPubMedCentral
12.
go back to reference Kyegombe N, et al. How did the good school toolkit reduce the risk of past week physical violence from teachers to students? Qualitative findings on pathways of change in schools in Luwero, Uganda. Soc Sci Med. 2017;180:10–9.CrossRefPubMedPubMedCentral Kyegombe N, et al. How did the good school toolkit reduce the risk of past week physical violence from teachers to students? Qualitative findings on pathways of change in schools in Luwero, Uganda. Soc Sci Med. 2017;180:10–9.CrossRefPubMedPubMedCentral
13.
go back to reference Greco G, Knight L, Ssekadde W, et al. Economic evaluation of the Good School Toolkit: an intervention for reducing violence in primary schools in Uganda. BMJ Global Health 2018;3:e000526.CrossRefPubMedPubMedCentral Greco G, Knight L, Ssekadde W, et al. Economic evaluation of the Good School Toolkit: an intervention for reducing violence in primary schools in Uganda. BMJ Global Health 2018;3:e000526.CrossRefPubMedPubMedCentral
14.
go back to reference Child JC, et al. Responding to abuse: Children's experiences of child protection in a central district, Uganda. Child Abuse & Neglect, 2014;38(10):1647-58. Child JC, et al. Responding to abuse: Children's experiences of child protection in a central district, Uganda. Child Abuse & Neglect, 2014;38(10):1647-58.
15.
go back to reference Prochaska JO, Velicer WF. The transtheoretical model of health behavior change. Am J Health Promot. 1997;12(1):38–48.CrossRefPubMed Prochaska JO, Velicer WF. The transtheoretical model of health behavior change. Am J Health Promot. 1997;12(1):38–48.CrossRefPubMed
16.
go back to reference Abraham C, Michie S. A taxonomy of behavior change techniques used in interventions. Health Psychol. 2008;27(3):379–87.CrossRefPubMed Abraham C, Michie S. A taxonomy of behavior change techniques used in interventions. Health Psychol. 2008;27(3):379–87.CrossRefPubMed
17.
go back to reference Grant A, et al. Process evaluations for cluster-randomised trials of complex interventions: a proposed framework for design and reporting. Trials. 2013;14:15.CrossRefPubMedPubMedCentral Grant A, et al. Process evaluations for cluster-randomised trials of complex interventions: a proposed framework for design and reporting. Trials. 2013;14:15.CrossRefPubMedPubMedCentral
18.
go back to reference Brown MB. Algorithm AS 116: the tetrachoric correlation and its asymptotic standard error. Appl Stat. 1977;26:343–55.CrossRef Brown MB. Algorithm AS 116: the tetrachoric correlation and its asymptotic standard error. Appl Stat. 1977;26:343–55.CrossRef
20.
go back to reference Zolotor AJ, et al. ISPCAN Child Abuse Screening Tool Children's Version (ICAST-C): Instrument development and multi-national pilot testing. Child Abuse Negl. 2009;33(11):833-41. Zolotor AJ, et al. ISPCAN Child Abuse Screening Tool Children's Version (ICAST-C): Instrument development and multi-national pilot testing. Child Abuse Negl. 2009;33(11):833-41.
21.
go back to reference Goodman R, et al. Using the strengths and difficulties questionnaire (SDQ) to screen for child psychiatric disorders in a community sample. Br J Psychiatry. 2000;177:534–9.CrossRefPubMed Goodman R, et al. Using the strengths and difficulties questionnaire (SDQ) to screen for child psychiatric disorders in a community sample. Br J Psychiatry. 2000;177:534–9.CrossRefPubMed
22.
go back to reference Runyan DK, Dunne MP, Zolotor AJ. Introduction to the development of the ISPCAN child abuse screening tools. Child Abuse Negl. 2009;33(11):842–5.CrossRefPubMed Runyan DK, Dunne MP, Zolotor AJ. Introduction to the development of the ISPCAN child abuse screening tools. Child Abuse Negl. 2009;33(11):842–5.CrossRefPubMed
23.
go back to reference Runyan DK, et al. The development and piloting of the ISPCAN child abuse screening tool—parent version (ICAST-P). Child Abuse Negl. 2009;33(11):826–32.CrossRefPubMed Runyan DK, et al. The development and piloting of the ISPCAN child abuse screening tool—parent version (ICAST-P). Child Abuse Negl. 2009;33(11):826–32.CrossRefPubMed
24.
go back to reference de Vries PJ, et al. Measuring adolescent mental health around the globe: psychometric properties of the self-report Strengths and Difficulties Questionnaire in South Africa, and comparison with UK, Australian and Chinese data. Epidemiol Psychiatr Sci. 2017:1-12. de Vries PJ, et al. Measuring adolescent mental health around the globe: psychometric properties of the self-report Strengths and Difficulties Questionnaire in South Africa, and comparison with UK, Australian and Chinese data. Epidemiol Psychiatr Sci. 2017:1-12.
25.
go back to reference Goodman A, Goodman R. Strengths and difficulties questionnaire as a dimensional measure of child mental health. J Am Acad Child Adolesc Psychiatry. 2009;48(4):400–3.CrossRefPubMed Goodman A, Goodman R. Strengths and difficulties questionnaire as a dimensional measure of child mental health. J Am Acad Child Adolesc Psychiatry. 2009;48(4):400–3.CrossRefPubMed
26.
go back to reference Michielsen K, et al. Effectiveness of HIV prevention for youth in sub-Saharan Africa: systematic review and meta-analysis of randomized and nonrandomized trials. AIDS. 2010;24(8):1193–202.CrossRefPubMed Michielsen K, et al. Effectiveness of HIV prevention for youth in sub-Saharan Africa: systematic review and meta-analysis of randomized and nonrandomized trials. AIDS. 2010;24(8):1193–202.CrossRefPubMed
27.
go back to reference Wight D, Plummer M, Ross D. The need to promote behaviour change at the cultural level: one factor explaining the limited impact of the MEMA kwa Vijana adolescent sexual health intervention in rural Tanzania. A process evaluation. BMC Public Health. 2012;12:788.CrossRefPubMedPubMedCentral Wight D, Plummer M, Ross D. The need to promote behaviour change at the cultural level: one factor explaining the limited impact of the MEMA kwa Vijana adolescent sexual health intervention in rural Tanzania. A process evaluation. BMC Public Health. 2012;12:788.CrossRefPubMedPubMedCentral
28.
go back to reference Murphy JM, et al. Relationship between hunger and psychosocial functioning in low-income American children. J Am Acad Child Adolesc Psychiatry. 1998;37(2):163–70.CrossRefPubMed Murphy JM, et al. Relationship between hunger and psychosocial functioning in low-income American children. J Am Acad Child Adolesc Psychiatry. 1998;37(2):163–70.CrossRefPubMed
29.
go back to reference Jyoti DF, Frongillo EA, Jones SJ. Food insecurity affects school children's academic performance, weight gain, and social skills. J Nutr. 2005;135(12):2831–9.CrossRefPubMed Jyoti DF, Frongillo EA, Jones SJ. Food insecurity affects school children's academic performance, weight gain, and social skills. J Nutr. 2005;135(12):2831–9.CrossRefPubMed
30.
go back to reference Alaimo K, Olson CM, Frongillo EA Jr. Food insufficiency and American school-aged children's cognitive, academic, and psychosocial development. Pediatrics. 2001;108(1):44–53.PubMed Alaimo K, Olson CM, Frongillo EA Jr. Food insufficiency and American school-aged children's cognitive, academic, and psychosocial development. Pediatrics. 2001;108(1):44–53.PubMed
31.
go back to reference Schulte-Körne G. Mental health problems in a school setting in children and adolescents. Dtsch Arztebl Int. 2016;113(11):183–90.PubMedPubMedCentral Schulte-Körne G. Mental health problems in a school setting in children and adolescents. Dtsch Arztebl Int. 2016;113(11):183–90.PubMedPubMedCentral
32.
go back to reference Nelson JR. Designing schools to meet the needs of students who exhibit disruptive behavior. J Emot Behav Disord. 1996;4(3):147–61.CrossRef Nelson JR. Designing schools to meet the needs of students who exhibit disruptive behavior. J Emot Behav Disord. 1996;4(3):147–61.CrossRef
33.
go back to reference Elbla AIF. Is punishment (corporal or verbal) an effective means of discipline in schools?: case study of two basic schools in greater Khartoum/Sudan. Procedia - Social and Behavioral Sciences. 2012;69(Supplement C):1656–63.CrossRef Elbla AIF. Is punishment (corporal or verbal) an effective means of discipline in schools?: case study of two basic schools in greater Khartoum/Sudan. Procedia - Social and Behavioral Sciences. 2012;69(Supplement C):1656–63.CrossRef
35.
go back to reference Nalugya-Sserunjogi J, et al. Prevalence and factors associated with depression symptoms among school-going adolescents in Central Uganda. Child Adolesc Psychiatry Ment Health. 2016;10:39.CrossRefPubMedPubMedCentral Nalugya-Sserunjogi J, et al. Prevalence and factors associated with depression symptoms among school-going adolescents in Central Uganda. Child Adolesc Psychiatry Ment Health. 2016;10:39.CrossRefPubMedPubMedCentral
36.
go back to reference Devries KM, et al. Witnessing intimate partner violence and child maltreatment in Ugandan children: a cross-sectional survey. BMJ Open. 2017;7(2):e013583. Devries KM, et al. Witnessing intimate partner violence and child maltreatment in Ugandan children: a cross-sectional survey. BMJ Open. 2017;7(2):e013583.
37.
go back to reference Panovska-Griffiths J, et al. Optimal allocation of resources in female sex worker targeted HIV prevention interventions: model insights from Avahan in South India. PLoS One. 2014;9(10):e107066.CrossRefPubMedPubMedCentral Panovska-Griffiths J, et al. Optimal allocation of resources in female sex worker targeted HIV prevention interventions: model insights from Avahan in South India. PLoS One. 2014;9(10):e107066.CrossRefPubMedPubMedCentral
Metadata
Title
Implementation of the Good School Toolkit in Uganda: a quantitative process evaluation of a successful violence prevention program
Authors
Louise Knight
Elizabeth Allen
Angel Mirembe
Janet Nakuti
Sophie Namy
Jennifer C. Child
Joanna Sturgess
Nambusi Kyegombe
Eddy J. Walakira
Diana Elbourne
Dipak Naker
Karen M. Devries
Publication date
01-12-2018
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2018
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-018-5462-1

Other articles of this Issue 1/2018

BMC Public Health 1/2018 Go to the issue