Data management and hmis lb delhi h .ppt

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1. Data Management
and HMIS
Facilitator: Dr. Lucie Blok
Delhi, 31
st
Jan 2006

2. The Issue is not that we need moredata….
.. but better use of data

3. HMIS: Definition
A HMIS is a system of record-keeping,
reporting, processing, analysis,
interpretation, use, and feedback of
information.

4. HMIS: Functions
-Provides different levelsof
beneficiaries
(clients, community, service
providers, managers, planners
and policy makers)
with timelyand relevant information
-Used to formulate policy, to plan, implement,
monitor, superviseand evaluatehealth-related
activities
(adapted from Campbell, 1997)

5. HMIS provides information on:
–Health status
(through surveillance, surveys)
–Health-related interventions and
services (activities, progress, quality)
(through surveillance, program monitoring
and evaluation)

6. 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

7. Management cycle
Where 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?
Monitoring
Identifying constraints
Taking action
How shall we
travel there?
Plan of Activities
HMIS

8. M&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,

9. Problems 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

11. Problems in HMIS 2: Collection
Too many records
Too late
Poor quality
Poor lay-out, confusing terminology
Incomplete
Potential exclusion of private and hospitalized
patients
Inflexible data collection
Resistance to change

12. Problems 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Presentation not clear, out of date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)

13. Problems 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)

14. 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

15. Group 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?

16. Group work HMIS -challenges
Question 2a: What are the main
challenges in your country regarding the
collection andquality of datathat you
receive?
Question 2b: What solutions do you
suggest?

17. Group 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?

18. Indicators
chosen
Source data/
information
Process of obtaining
information
How to assure quality
of information/data