Data Management and HMIS Facilitator: Dr. Lucie Blok Delhi, 31 st Jan 2006.
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Transcript of Data Management and HMIS Facilitator: Dr. Lucie Blok Delhi, 31 st Jan 2006.
Data Management Data Management and HMISand HMIS
Facilitator: Dr. Lucie BlokDelhi, 31st Jan 2006
The Issue is not that we need more data….
.. but better use of data
HMIS: DefinitionHMIS: Definition
A HMIS is a system of record-keeping, reporting, processing, analysis, interpretation, use, and feedback of information.
HMIS: Functions HMIS: Functions
- Provides different levels of beneficiaries
(clients, community, service
providers, managers, planners
and policy makers)
with timely and relevant information
- Used to formulate policy, to plan, implement, monitor, supervise and evaluate health-related activities (adapted from Campbell, 1997)
HMIS provides information on:HMIS provides information on:
– Health status (through surveillance, surveys)
– Health-related interventions and services (activities, progress, quality)
(through surveillance, program monitoring and evaluation)
Purposes of HMIS: Evidence-Based Decision Making
- Monitoring and evaluation of control programs
- Plan actions, programs, and resources- To prioritize the allocation of health
resources- To provide the basis for epidemiological
research - Accountability
Management cycleManagement cycleWhere are we now?
Situation Analysis
Where do we want to go?
Objectives
Where did we reach?
Evaluation
Which route shall we take?
Strategy
Is everything going according to plan?
MonitoringIdentifying constraints
Taking action
How shall we travel there?
Plan of Activities
HMIS
M&E Framework in TBCPM&E Framework in TBCP
Context: • Political commitment • Access and utilisation of services • Socioeconomic conditions• Epidemiological context (HIV, nutrition)
Input Process Output Outcome Impact
Source: WHO: (2004); Compendium of indicators for monitoring and evaluating national tuberculosis programs,
Problems in HMIS 1: DesignProblems in HMIS 1: Design
1. Top-down control, leaving out lower level
2. Unclear objectives and targets
3. Too much working time spent on HMIS
4. No guidelines
5. Not enough skills
6. Not enough staff
7. Fragmentation in services
Problems in HMIS 2: CollectionProblems in HMIS 2: Collection
Too many recordsToo late Poor qualityPoor lay-out, confusing terminologyIncomplete Potential exclusion of private and hospitalized patientsInflexible data collection Resistance to change
Problems in HMIS 3: (Self-) AssessmentProblems in HMIS 3: (Self-) Assessment
Data not analysed to produce information, but just forwarded upward
No indicators to assess progress
Presentation not clear, out of date
Management culture does not value information (decision-making on intuitive or political basis only)
Political use (coverage = 1 microscope per dist)
Problems in HMIS 4: UseProblems in HMIS 4: Use
Inadequate training for managers
Data not available for the
right persons at the right time
No feedback to lower levels,
no pressure to use data
Data not used for supervision
Rigid criteria (success rate in the era of HIV)
A good HMIS system:A good HMIS system:
Provides all information required
Is easy to implement
Requires minimal staff time
Is consistent with other management and recording systems in place
Is useful for all stakeholders and is used
Group work HMIS - challengesGroup work HMIS - challenges
Question 1a: What are the main challenges in your country regarding design of the HMIS?
Question 1b: What solutions do you suggest?
Group work HMIS - challengesGroup work HMIS - challenges
Question 2a: What are the main challenges in your country regarding the collection and quality of data that you receive?
Question 2b: What solutions do you suggest?
Group work HMIS - challengesGroup work HMIS - challenges
Question 3a: What are the main challenges in your country regarding the use of data collected on TB management?
Question 1b: What solutions do you suggest?
Indicators chosen
Source data/ information
Process of obtaining information
How to assure quality of information/data