1. Namibia Inpatient Data
Use Case
Namibia Inpatient Data

2. Overview of the session
Power Point Presentation
Demonstration of the system
Discussions

3. Purpose of the inpatient module
A system for collecting routine data about hospital discharges, and using this to gain insight into disease profiles, case fatality rates, and key hospital “throughput” indicators
Allocates ICD 9 codes (Reduced list ~300)
Defines outcomes

4. Data Analysis Top 10 diagnosis Outcomes and Case Fatality Rate
Throughput indicators
BOR
ALOS

5. Process Discharge Summary data
Data Capture in Hospitals/Health Centers
Patient Event Capture Module in DHIS 2
Standard dashboards/Reports

6. Special report to the Minister of Health 2010
Top 10 Diseases
Top10 Diagnoses for Adult/Paeds Wards
Top10 Diagnoses for Maternity Wards
Analysis of Deaths
Causes of death in Adult/Paeds Wards
Causes of death in Maternity Wards
Case Fatality Rates
Case Fatality Rates by Age Group
Case fatality Rates for 2010 by Region
Maternity
Adult/Paeds
CFR (per 1000 admissions)
Region
Died
All Outcomes
Caprivi Region
1,130
209
1,416
0.0
147.6
Omusati Region 21
3,768
713
7,626
5.6
93.5
Omaheke Region
596
218
2,521
86.5
Oshikoto Region 1
4,768
865
11,696
0.2
74.0
Ohangwena Region 8
3,255
738
10,631
2.5
69.4
Kavango Region 9
2,248
936
15,289
4.0
61.2
Oshana Region
1,800
453
7,465
60.7
Kunene Region 3
1,353
183
3,339
2.2
54.8
Khomas Region 4
6,787
677
12,573
0.6
53.8
Hardap Region
1,437
231
5,680
0.7
40.7
Karas Region
1,630
221
5,731
38.6
Erongo Region
2,238
217
5,628
1.3
Otjozondjupa Region
2,090
191
5,043
0.5
37.9
Grand Total 52
33,100
5,852
94,638 2
61.8

7. Demo