2. Outline
1. Why the HISPMT?
2. Who is it for, when is it used?
3. Where are the boundaries?
4. How does it work?
5. What kind of results?
6. Current status and next steps
3. Why the HISPMT?
Purpose
To guide HIS managers in a systematic
review across the main HIS data sources
that generate data needed to monitor the
health system.
Results are intended to inform stakeholders about
which data sources bear the highest demand for
generating data, and the performance of each data
source.
The tool provides evidence needed for decision
makers to prioritize HIS-strengthening interventions.
4. Who, when, where?
Who? Use by a HIS manager*
* To complete the tool, she/he will need to consult with
managers of specific data sources both within and outside
of the health sector.
When? Periodic application prior to:
• Reviews or revisions of the national health strategy
• Health sector and/or sector-wide planning and budget
allocation meetings, e.g., SWAp
Where? Use anywhere, with a focus on low-and
middle-income countries (LMICs) because:
• HIS strengthening is needed
• International and national investments present demand
and opportunities for use
MEASURE Evaluation designed the HISPMT for…
5. Where are HISPMT boundaries?
12 HIS data
sources
Population-based
Institution-based
Mixed
6. 4 Steps
Indicator mix:
assume these
indicators are
relevant to
the country.
Take into
account data
elements in the
numerators and
denominators.
Map data elements
to the 12 preferred
data sources
(summarized
demand on each).
Complete each rapid
assessment with 15-25
questions to assess
validity and reliability
for each data source.
How does HISPMT work?
8. HISPMT results (4)
Automated scores summarize the data sources’ performance in
generating valid and reliable data vis-à-vis the demand for data.
9. Status and next steps
▪ Content – drafted, pending finalization
▪ Automation – by end of May
▪ Availability – electronic platform by
June 1
For support in applying the HISPMT, contact:
Fern Greenwell, MEASURE Evaluation
fern.greenwell@icf.com
10. This presentation was produced with the support of the United
States Agency for International Development (USAID) under
the terms of MEASURE Evaluation cooperative agreement
AID-OAA-L-14-00004. MEASURE Evaluation is implemented by
the Carolina Population Center, University of North Carolina at
Chapel Hill in partnership with ICF International; John Snow,
Inc.; Management Sciences for Health; Palladium; and Tulane
University. Views expressed are not necessarily those of USAID
or the United States government.
www.measureevaluation.org