2022-08-02-世界卫生组织-Overview_of_the_Malaria_Surveillance_Assessment_Toolkit_28页_3mb
报告摘要
Malaria Surveillance Assessment Toolkit (MSAT)
WHO & CHAI developed this Toolkit to standardize and improve the comparability of malaria surveillance assessments.
Objectives & Target Users
- Define surveillance assessments and their benefits/limitations.
- Introduce users to the Toolkit for identifying system strengths and weaknesses.
- Describe the Toolkit's characteristics, content, and usage methods.
- Outline expected outputs and outcomes.
Key Components
- Adaptable Framework: Covers 4 domains:
- Context & Infrastructure (sectors, IS, guidelines, resources).
- Technical & Processes (data flow, tools, personnel).
- Behaviour (governance, training, motivation, accountability).
- Surveillance System Performance (case reporting, data quality, analysis, use).
- Priority Indicators: Minimum set (53 indicators) for standardized data across settings.
Tool Structure
| Function | Tools | Description |
|---|---|---|
| Define Scope | Assessment Framework Tool | Selects indicators by transmission setting and interventions. |
| Data Collection | Desk Review Tool, Question Bank | Desk review, surveys, DQA tools for data quality at various levels. |
| Output & Planning | Protocol, Budget, Analysis Tables | Templates for outputs, recommendations, technical briefs, and reports. |
| AssessmentMethods | Prioritization, Frequency | Selects methods based on scope (rapid, tailored/comprehensive). |
Data Collection
- Methods: Desk review + Survey.
- Desk: Literature review, interviews, DQA tools.
- Survey: Integrated with templates for completeness/timeliness/correspondence.
Implementation Phases
- Initiation: Define scope & objectives.
- Data Collection: Desk review + Surveys.
- Data Analysis: Generate outputs (tables, trends).
- Recommendations: Dialogue with stakeholders; create action plans.
Outputs
- Standardized reports: Scorecards, data quality dashboards, surveillance performance diagrams.
- Technical Brief: Highlights key findings.
- Comprehensive Report: Methodology, data, interpretations, & recommendations.
Assessment Frequency
- Rapid: Every 3-5 years or annually.
- Comprehensive Assessment: 3-5 years; annual in elimination settings.
Data Quality Assessment
- Burden Reduction: DQA through DHIS2 and system reviews.
- Elimination Settings: Independent system comparisons for completeness/correspondence.
Use Cases
- Examples: Burkinésie, DRC, Ghana.
- Localization: Adaptation for high/low transmission settings.
Digital Platform
- Web-based Tools: Available in English/French via Azure platform.
- Scope of Use: Supports tracking surveillance performance over time and between countries.
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