MODULE 7 · LESSON 7.7
Turning Findings into Decisions
Estimated time: 30 minutes
The purpose of the analysis is not the chart. It is to answer a question and support an appropriate decision.
7.7.1 From data to action
- 1. Data
- 2. Finding
- 3. Interpretation
- 4. Recommendation
- 5. Action
- 6. Follow-up
Data: completeness declined from 90% in January to 70% in March. Finding: it fell by 20 percentage points. Interpretation: fewer expected reports were received in March. Recommendation: investigate the missing reports and whether the decline is tied to operations, a reporting change, or something else. Action: the responsible team reviews the missing submissions and contacts the facilities. Follow-up: completeness is reviewed in the next period.
7.7.2 Distinguish findings from recommendations
A finding describes the evidence. Three of ten expected reports were missing. A recommendation proposes the next step. Contact the facilities, confirm the status, and document why they were not submitted. Keeping them separate stops an assumption from being written as a fact.
7.7.3 Prioritise issues
- Magnitude: how large is the problem?
- Urgency: does it need attention now?
- Consequence: what could happen if it is left?
- Evidence strength: how reliable is the finding?
- Feasibility: can the organisation act with the resources it has?
A possible patient-safety concern needs a faster response than a formatting inconsistency. Follow the organisation's procedure.
ONE-PAGE ANALYTICAL BRIEF
- 1 Purpose
- 2 Key finding
- 3 Evidence
- 4 Limitations
- 5 Recommendation
- 6 Follow-up
7.7.4 Write a concise analytical brief
- Title: what the issue is.
- Purpose: what question was investigated.
- Key finding: what the analysis showed.
- Evidence: which data supports it.
- Limitations: what remains uncertain.
- Recommendation: what should happen next.
- Follow-up: how progress will be assessed.
7.7.5 Example analytical brief
Title: Review of Routine Health Reporting Completeness. Purpose: to assess completeness of expected monthly facility reports. Key finding: in a fictional period, 15 of 20 expected reports were received, so completeness is 75%. Interpretation: five reports were missing, and that gap may affect the district picture. Limitations: the figures do not say why the reports were missing, or whether the reports that arrived were accurate. Recommendation: confirm the status of the missing reports, document the reasons, and review completeness in the next period. Follow-up: the percentage of expected reports received by the next deadline.
7.7.6 The role of a Health Information Management professional
- Organise and maintain reliable records.
- Support data quality assessment.
- Apply data-management procedures.
- Analyse routine health information.
- Prepare summaries and reports.
- Support research documentation.
- Help protect confidential information.
- Say what the data cannot show.
- Contribute to digital health and information-system improvement.
These skills are used in hospitals, public health programmes, research projects, and NGO monitoring teams.