Against Children VAC Claudia Cappa Senior Adviser Data and Analytics Section UNICEF 1 Administrative data on VAC main characteristics and challenges 2 Steps towards building strong administrative data systems on VAC ID: 780931
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Slide1
Administrative Data on Violence Against Children (VAC)
Claudia Cappa, Senior Adviser, Data and Analytics Section, UNICEF
Slide21. Administrative data on VAC: main characteristics and challenges2. Steps towards building strong administrative data systems on VACOVERVIEW
Slide3Administrative data on VAC: main characteristics and challenges
Slide4Administrative data sources on VAC
Slide5Mapping and assessing data flowsGovernment Ministries/Agencies
Sub-district
District
Province
National
Non-Governmental Organizations
CSO/NGO Service Providers
Private Health Care Facilities
Slide6Advantages of Administrative Data
In many countries, but not all, administrative data is regularly collected and compiled across sectors and agenciesAdministrative data
does not reveal the prevalence of VAC; however, it can reveal the number of incidents identified and reported to authorities and service providers
Administrative data can:Reveal important points of entry and intervention, and access to protection and support services
Reveal historical patterns and trends
Inform general programme planning and resource allocation
since data can demonstrate utilization of services
Inform estimated costs of services
Slide7Quality of data collected are often weak and inconsistent
Administrative data limitations/challenges:Agencies often do not have data systems in place that go beyond internal record-keeping needsDifficult to track VAC cases and referrals
across sectors and agencies/organizationsIn many sectors and agencies, there can be high levels of missing or incomplete data
Inconsistencies in:Data quality assurance processesHow VAC is defined and categorized, resulting in a lack of comparability across administrative data sourcesAccuracy, completeness, and coverage of data
Limitations of Administrative Data
Slide8Double counting is not an issue because administrative data is not prevalence data; rather it reflects the number of VAC cases reported and child victims who access essential services at points of entryRecord-keeping at each point of entry is important because it reveals points of entry, services accessed, and the number of child victims served and cases handled by each service provider and justice agency
Administrative data are different from case management dataRelevance and usefulness of administrative data depends on the quality of registration and record-keeping systems
Double Counting in Administrative Data
Slide9Data flow is a challenge in many ministries/agenciesDelays in the flow of data from sub-district district
provincial national levelsBroken channels of data sharing within ministries and between departmentsFew personnel with expertise in data management and analysis
Data is fragmented in many ministries/agenciesData validation is a major challenge
in many ministries/agenciesUnclear how validation works at the district, provincial, and national levels
Challenges with data flows and validation
Slide10vvNeed for data management and data sharing SOPs or protocols Lack of understanding of the need for confidentiality related to VAC dataDiscussions to tie VAC administrative data to citizen ID numbers
Computer data management systems passwords sharedSome countries have invested significant resources in technology and software to transition to computer data management systems, possibility for great potential
Indonesia: Ministry of Women’s Empowerment and Child Protection (KPPPA) SIMFONI
Data Sharing
Slide11Analysing administrative data
Administrative data is under analysed
Tendency to report on a limited number of types of VAC
Few variables are analyzed (only sex, age, types of violence, district)
Tendency to report numbers and not calculate percentages or proportions
Lack of analyses of the relationship between variables
How to use data to track and present trends or patterns
Comparison of proportion changes from year-to-year
Longitudinal analyses of data
Pre- and post-data
Slide12Steps towards building strong administrative data systems on VAC
Slide13Understanding current roles and capacitiesWhich of agencies collect and use child violence-related data? Which of them are mandated to do this by law? What kinds of data systems do these agencies have? How is the data gathering system set up? What kind of data are recorded? Are there standard reporting forms for violence against children cases? If so, are they used across agencies?How often are data collected and by whom?How are data used?What is the current capacity of each institution, authority and agency to collect, report, analyse and use data?Taking stock of what already exists
Slide14Standard formsProblems with data entry forms at the point of registration and data entryLack of clarity as to what are the different types of violence (inconsistent registering)Data are not collected on all relevant types of VAC Paper-based forms and computer data management systems are not regularly updated to reflect changes in laws or contemporary forms of VAC, these get categorized as ‘other’DisaggregationLimited and inconsistent disaggregation of types of VAC across sectors/agenciesLimited and sometimes less useful disaggregation of age for VAC victims/survivors (e.g., 10-19 years, 5-59 years)Limited demographic data are captured on victims and perpetratorsDeveloping standard definitions and indicators
Slide15Example: Male/female versus ‘1’/’2’Presents a challenge to link data from multiple sourcesCompromises level of analysis possibleCode/recode data in a consistent format in early stages Recommend clear and thorough documentation for all variables to be used in analysis and for sharing information about the variables with external data usersEstablishing uniform variable definitions and coding
Slide16A unique number that is used to identify an individual or case within a databaseEnhances the usability of administrative data both within and between agenciesFacilitates data linkage and more advanced analysis at later stagesMajor benefit: secure individuals’ privacy and confidentialityEstablishing common record identifiers
Slide17Training and capacity-building
Lack of training for staff to input information on VAC cases into paper-based forms and/or computer data information management system
Attrition of trained staff
Inconsistencies in recording/registering cases
Individual discretion
Time delays in recording/registering cases
Incomplete data (incomplete forms, missing data)
Ethics and privacy issues related to the storage and use of admin data
Slide18Managing administrative data
Confidentiality, privacy and data
security
No information should be disseminated that enables an individual child or family to be
identified
Internal access should be restricted to ensure that only authorized personnel have access to children’s
data
Complete anonymisation of data would protect individual confidentiality, but would likely render the dataset
unusable
Preserve confidentially through a combination of comprehensive data access approvals; requirements on the researcher, including training and sanctions; and physical or virtual settings that restrict the possibility of re-identification of individuals or inadvertent or deliberate misuse of data
Slide19Managing administrative data (con’t)
Maintaining data
quality
Accessibility: Data should be readily available and easy to retrieve for monitoring, reporting and analysis purposes.
Security or confidentiality: Any data that contains sensitive information and individual personal identifiers must be kept confidential
.
Relevance: The degree to which data accurately address the objective of the project or analysis.
Accuracy/coherence: Comprehensiveness or extent of missing data, performance of error edits, and other quality assurance strategies
.
Timeliness: Lag time between when data are collected and when it is available for analysis can affect the usefulness of the data for management and evaluation purposes.
Slide20VAC data repositoriesData repositories are important and make a significant contributionChallenges:Collection – hesitancies of ministries/agencies to share dataCompilation – challenges getting data on a timely basisValidation – unclear how this process worksMerging data from different agenciesData management systems differDisaggregation of data differs Analysis capacities – data analyses skills and theoretical understanding of VACRolled out to quickly and without careful planning on how to roll outSome countries establish online data management systems and repositories that are disconnected and duplicative to some degree
Slide21Data UseLimited sharing of VAC administrative data for planning and programming purposesRarely used in planning or policy making at the national levelVAC administrative data should be used at the national and provincial levels for:Planning and decision-making Policy developmentProgramme developmentIntervention improvements Allocation of resources and manpower
Slide22Thank you!Q&A