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1 | | -## Consumable Availability Scenarios |
2 | | - |
3 | | -This README describes the different **scenarios** used in consumable availability analysis. Each scenario corresponds to a specific level of availability of consumables across health facilities and months. The data for these scenarios are stored in columns such as `available_prop_scenario1`, `available_prop_scenario2`, etc., in the `ResourceFile_Consumables_availability_small.csv`. This is generated by the the following scripts - 1. `consumable_availability_estimation.py` generates the `available_prop` column representing the proportion of instances that a consumables is likely to be available given the levels of availability observed during 2018, 2. `generate_consumable_availability_scenarios_for_impact_analysis.py` generates additional scenarios of consumable availability ans appends them to the file generated by the first script. |
4 | | - |
5 | | -The scenario names below can be specified as parameters for `cons_availability` under `HealthSystem` when running simulations. |
6 | | - |
7 | | ---- |
8 | | - |
9 | | -### **Base Scenario** |
10 | | -- `default` |
11 | | - - **Description:** Actual 2018 availability estimates based on OpenLMIS data. |
12 | | - - **Purpose:** Serves as the baseline for comparisons. |
13 | | - |
14 | | ---- |
15 | | - |
16 | | -### **Scenarios 1–5: System-Level Improvements at Level 1a + 1b ** |
17 | | -These are based on regression analysis performed in [Mohan et al (2024)](https://pubmed.ncbi.nlm.nih.gov/38762283/). |
18 | | - |
19 | | -| Scenario | Column Name | Description | |
20 | | -|----------|---------------------------|-------------| |
21 | | -| 1 | `scenario1` | All items perform like *non-drug/diagnostic* consumables. | |
22 | | -| 2 | `scenario2` | Scenario 1 + all items match performance of *vital* medicines. | |
23 | | -| 3 | `scenario3` | Scenario 2 + all facilities match those managed by *pharmacists*. | |
24 | | -| 4 | `scenario4` | Scenario 3 + Level 1a facilities perform like Level 1b. | |
25 | | -| 5 | `scenario5` | Scenario 4 + All facilities perform like *CHAM* facilities. | |
26 | | - |
27 | | ---- |
28 | | - |
29 | | -### **Scenarios 6–9: Benchmarking Against Best Facilities** |
30 | | -| Scenario | Column Name | Description | |
31 | | -|----------|---------------------------|-------------| |
32 | | -| 6 | `scenario6` | All Level 1a/1b facilities match the *75th percentile* facility for each item. | |
33 | | -| 7 | `scenario7` | Same as above but using the *90th percentile*. | |
34 | | -| 8 | `scenario8` | Same as above but using the *99th percentile*. | |
35 | | -| 9 | `scenario9` | Level 1a, 1b, and 2 facilities match the *99th percentile*. | |
36 | | - |
37 | | ---- |
38 | | - |
39 | | -### **Scenarios 10–11: Horizontal Supply Chain Alignment** |
40 | | -| Scenario | Column Name | Description | |
41 | | -|----------|---------------------------|-------------| |
42 | | -| 10 | `scenario10` | All programs perform as well as *HIV* programs (only levels 1a and 1b updated). | |
43 | | -| 11 | `scenario11` | All programs perform as well as *EPI* programs (only levels 1a and 1b updated). | |
44 | | - |
45 | | -Scenarios 6-8 and 10-11 only include levels 1a and 1b where most of the service is delivered and consumable availability is particularly a challenge to match up with the regression-analysis-based scenarios 1-5 |
46 | | - |
47 | | ---- |
48 | | - |
49 | | -### **Scenarios 12–15: HIV Drug Supply Adjustments** |
50 | | -| Scenario | Column Name | Description | |
51 | | -|----------|---------------------------|-------------| |
52 | | -| 12 | `scenario12` | HIV performs as well (i.e. as badly) as general programs (excluding EPI and Cancer), benchmarked at *Facility_Level*. | |
53 | | -| 13 | `scenario13` | HIV performs as well as other programs, benchmarked at *Facility_ID*. | |
54 | | -| 14 | `scenario14` | Same as Scenario 13, but availability scaled *up* by 25%. | |
55 | | -| 15 | `scenario15` | Same as Scenario 13, but availability scaled *down* by 25%. | |
56 | | - |
57 | | ---- |
58 | | - |
59 | | -### **Upper Bound Scenario** |
60 | | -- **`all`** |
61 | | - - **Description:** All consumables are always available (i.e., 100% availability). |
62 | | - - **Purpose:** Represents the theoretical upper bound for health gains due to supply improvements. |
63 | | - |
64 | | ---- |
65 | | - |
| 1 | +version https://git-lfs.github.com/spec/v1 |
| 2 | +oid sha256:8caacbfcbf94df4a24a2bba66a71bf8f89514527dd32409a2e9d3bc69e177bfe |
| 3 | +size 3913 |
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