SickKids Centre for Global Child Health
| Afghanistan - $ 160,627.25 (25.00%) | |
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| Mali - $ 160,627.25 (25.00%) | |
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| Somalia - $ 160,627.25 (25.00%) | |
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| South Sudan - $ 160,627.25 (25.00%) | |
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| Health Systems, Training & Infrastructure (80 %) | |
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| Gender Equality (20 %) | |
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Health program delivery and its measurement in conflict-affected and humanitarian settings is difficult to assess to ensure accountability. There is a minimum set of process measures but they are of unverified quality, especially depending on type of conflict. Access for data collection to most affected populations is complicated due to ongoing security issues, which often disrupt routine data collection.
Logistical and monetary costs of traditional data collection methodologies can significantly increase due to the added security costs, communications challenges and increased costs of human resources in humanitarian and conflict-affected settings. To streamline data collection and measurement processes, simpler approaches to valid and reliable gender-relevant analyses need to be identified.
Building on expertise: This Lab partnership is leveraging a rich humanitarian programmatic perspective (from the Canadian Red Cross) to develop feasible adaptive tools for implementation. They’re working with an international network of collaborators and researchers to maximize expertise, utilize mixed methodologies and avoid duplication of efforts.
| Gender and age: | Adult men Adolescent females Adult women |
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| Descriptors: | Refugees Internally displaced people (IDP) |
| Total Direct Population: | Unspecified |
| Interactive data dashboard developed | |
| Partnership and stakeholder meetings held to consult on project design and adaptation |
• Design of a digital dashboard to compare indicators, data sources and methodologies used in humanitarian settings, to those found in global frameworks and household surveys.
• Leveraging existing Tools and Databases: Assessing the feasibility of using existing assessment tools, such as the National Evaluation Platform (NEP) in Mali and RADAR tools, and administrative data, including the DHIS-2 national survey platforms.
• Utilizing case studies: Case studies were selected due to differences in the conflict types, geographical characteristics and diverse situations of available data. In the absence of household surveys or reliable administrative data, desk-based case studies that use secondary data from four countries (e.g. Mali, South Sudan, Afghanistan and Somalia) are used to validate methods and tools created.
• Finished a review of sexual and reproductive health and rights (SRHR) indicators from Global Frameworks and Common Surveys (see resources below) typically used in non-conflict settings humanitarian crises.
• Conducted an exercise mapping of Sustainable Development Goal (SDG) global indicators to household sample surveys, focusing on gender equality.
• Completed two scoping reviews in combination with peer-review and grey literature from websites of organizations working in humanitarian-contexts:
i) SRHR coverage and related morbidity and mortality.
ii) Gender equality and women’s empowerment.
• Insight shared: A novel approach to systematic and scoping reviews: Applying machine learning (via a free web-based software, Rayyan QCRI) reduced time and increased efficiency in the abstract screening phase of systematic and scoping reviews. The project team is working to improve algorithms created in R to be more sensitive and specific to Rayyan. This method was incorporated after designing the proposal and lends itself to important side-learning.
