Analyzing Data in a
Situational Analysis
Dr. Warren I. Luzano
University of Science and Technology
of Southern Philippines
Part 1: “Situational Analysis”
A
strong situation analysis is not just a
collection of facts describing the
epidemiology, demography and health
status of the population
 Instead, it should be comprehensive,
encompassing the full range of current and
potential future health issues and their
determinants.
Stream 1: analysis of health
data
What can a good data analysis report include?
It includes:
- assessment of progress against targets for key
indicators;
- equity analysis by key stratifiers;
- comparative analyses with peer countries;
- customer satisfaction surveys/health facility exit
surveys;
- performance and efficiency analysis comparing
inputs/outputs at the sub-national level.
- computation of lives saved through interventions;
data quality assessment.
Data Analysis Tools
- Performance analysis ( e.g. paired t-test, ANOVA)
This study aims to assess the effects of planned
interventions on performance and quality of services
in primary health care units (PHCUs). The scores
before and after intervention increased, statistical
significant paired sample t-test with t = − 7.15, df = 75,
P < 0.000.. The One-way Analysis of Variance
(ANOVA) showed a borderline significant difference
between groups with (F = 2.4, P < 0.09).
Data Analysis Tools
- Efficiency analysis ( data envelopment analysis DEA)
A DEA model has been correlated to evaluate and
assess the efficiency of 17 health centers. The
researchers selected the health budget and the
number of health workers as input variables likewise,
the number of people served, number of TB patients
served, and TB patients treated (%) as output
variables. Based on the result of the study, only five
(5) health centers out of seventeen (17) have 100%
efficiencies. It is recommended that other health
centers should learn from their efficient peers so as to
increase the overall performance of the healthcare
system.
Interconnection between the three streams: a hypothetical
example from the area of medical equipment maintenance
Stream 1: An assessment of health service
readiness revealed that in hospitals, 40% of the
medical equipment was not operational and that
in dispensaries, 50% of the latrines were out of
order. Stream 1 focal points’ discussions with the
health technology working group revealed that
many of the after-sales equipment needs as well
as the preventive maintenance needs had not
been addressed.
Interconnection between the three streams: a hypothetical
example from the area of medical equipment maintenance
Stream 2: Of the planned activities, only a limited
number were implemented. An insufficient
number of new technicians and engineers were
trained. Moreover, several of them left for jobs in
the private sector. The supply of spare parts
remained erratic due to procedural and
budgetary insufficiencies. Only few of the
planned new public-private partnerships (for
outsourced maintenance) were actually
established
Interconnection between the three streams: a hypothetical
example from the area of medical equipment maintenance
Stream 3: Policy dialogue with the full range of
health stakeholders, including facility-level
managers and health workers, showed that, on
the plus side, the new database for asset
management facilitated the strategic shift to a
more centralized system. … clear technical
specifications for equipment standardization
were all strong limiting factors for more efficient
and needs-based procurement, supply and repair
management
Work Activity 1 : Descriptive Analysis of a
Survey Questionnaire
Open the file:
1. workshop_1.pdf
2. workshop_1.doc
3.workshop_1.xls
Work Activity 1 : Using SPSS
Create an SPSS file with the following Variable View
entries:
Work Activity: Using Descriptive
Work Activity: Using Frequencies
Work Activity: Using Frequencies
Work Activity: Using Frequencies
Work Activity: Using Frequencies
Work Activity: Using Crosstabulation
So far we have discussed distributions of
scores on a single variable. We now turn
our attention to the topic of bivariate
distributions - ones which characterize
relationships between two variables
(nominal or ordinal) simultaneously
Work Activity: Using Crosstabulation
Its interesting to ask questions such as
whether there is a relationship between
Preparedness vs Policy
i.e. How much prepared in terms of
EHC services are barangays with existing
policy on EHC?
Using Crosstabulation
Its interesting to ask questions such as
whether there is a relationship between
Leadership vs Policy
i.e. How are barangays with existing
policy on EHC rate Leadership in terms of
implementation of strategic plans?
Using Crosstabulation
Its interesting to ask questions such as
whether there is a relationship between
Service vs Policy
i.e. How are barangays with existing
policy on EHC rate Service Delivery in
terms of services of provision of EHC?
How much prepared in terms of EHC services are
barangays with existing policy on EHC?
How are barangays with existing policy on EHC
rate Leadership in terms of implementation of
strategic plans?
How are barangays with existing policy on EHC rate
Service Delivery in terms of services of provision of EHC?
Workshop 1 Output:
Refer to workshop_1.doc
Recall: “Situational Analysis”
A
strong situation analysis is not just a
collection of facts describing the
epidemiology, demography and health
status of the population
 Instead, it should be comprehensive,
encompassing the full range of current and
potential future health issues and their
determinants.
Activity 2: “Situational Analysis”

Cite an example from your LIPH report
which shows the 3 streams’ issues,
findings/recommendations. Then
incorporate the determinants of Health in
the discussion.
Determinants of Health

link:
https://www.who.int/hia/evidence/doh/en/