State Health Investment Project: Impact Evaluation Endline Survey, 2017
Nigeria, 2017
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Reference ID
NGA_2017_HRBFIE-EL_v01_M
Producer(s)
Eeshani Kandpal (World Bank)
Created on
Dec 05, 2022
Last modified
Aug 28, 2024
Page views
139205
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- Data files
- cardio_drugs_noid.dta
- Catchment_Area_noid.dta
- decr_services_noid.dta
- diagnostic_kits_noid.dta
- FP_drugs_noid.dta
- general_drugs_noid.dta
-
Health Facility
(HF1)_noid.dta - HF1_Sect08_noid.dta
- HF1_sect10A_noid.dta
- HF1_Sect10B_noid.dta
- incr_services_noid.dta
- interview_actions_noid.dta
- interview_comments_noid.dta
- malaria_drugs_noid.dta
- obstetric_care_noid.dta
- Q1611_positions_noid.dta
- services_noid.dta
- TB_drugs_noid.dta
- vaccines_noid.dta
- anc_patients_noid.dta
- HF3_HCP_Info_noid.dta
- HF4_HCP_Info_noid.dta
- HF4_patients_noid.dta
- interview_actions_noid.dta
- interview_comments_noid.dta
-
Patient DIRECT
OBSERVATION
(HF3_HF4)_noid.dta - HF5_ASSETS_noid.dta
- HF5_LIVESTOCK_noid.dta
- HF5_patients_noid.dta
- HF6_ASSETS_noid.dta
- HF6_LIVESTOCK_noid.dta
- HF6_patients_noid.dta
- interview_actions_noid.dta
- interview_comments_noid.dta
-
Patient EXIT
INTERVIEW
(HF5_HF6)_noid.dta -
Health Care
Provider
Interviews
(HF7)_noid.dta - HF7_Q202_noid.dta
- interview_actions_noid.dta
- interview_comments_noid.dta
- staff_roster_noid.dta
- Durable_Goods_noid.dta
- hhroster_noid.dta
- interview_actions_noid.dta
- interview_comments_noid.dta
-
NSHIP IE
Midline
Household Women
Questionnaire_noid.dta - Q16_13_noid.dta
- S5C_Assets_noid.dta
- S9_Vaccines_noid.dta
- Sec_05B_noid.dta
- Sec_06A_noid.dta
- Sec_06B_noid.dta
- Sec_06C_noid.dta
- Sec_07_noid.dta
(8.42) How many different kinds of medicines did YOU/[NAME] take? (Q8_42)
Data file: hhroster_noid.dta
Overview
Valid:
3529
Invalid:
54973
Minimum:
-999999999
Maximum:
6500
Type:
Discrete
Decimal:
0
Start:
2755
End:
2764
Width:
10
Range:
-999999999 - 6500
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -999999999 | 4 |
0.1%
|
|
| 0 | 1 |
0%
|
|
| 1 | 428 |
12.1%
|
|
| 2 | 917 |
26%
|
|
| 3 | 1053 |
29.8%
|
|
| 4 | 538 |
15.2%
|
|
| 5 | 286 |
8.1%
|
|
| 6 | 125 |
3.5%
|
|
| 7 | 38 |
1.1%
|
|
| 8 | 18 |
0.5%
|
|
| 9 | 1 |
0%
|
|
| 10 | 6 |
0.2%
|
|
| 11 | 1 |
0%
|
|
| 12 | 1 |
0%
|
|
| 13 | 2 |
0.1%
|
|
| 15 | 1 |
0%
|
|
| 30 | 1 |
0%
|
|
| 99 | 97 |
2.7%
|
|
| 300 | 1 |
0%
|
|
| 950 | 1 |
0%
|
|
| 1500 | 1 |
0%
|
|
| 1700 | 1 |
0%
|
|
| 2000 | 1 |
0%
|
|
| 3000 | 1 |
0%
|
|
| 3500 | 1 |
0%
|
|
| 3800 | 1 |
0%
|
|
| 4200 | 1 |
0%
|
|
| 5000 | 1 |
0%
|
|
| 6500 | 1 |
0%
|
|
| Sysmiss | 54973 |
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.