Integrated Campaign Registry (ICR) Implementation Guide
0.1.0 - ci-build
Integrated Campaign Registry (ICR) Implementation Guide
0.1.0 - ci-build
Integrated Campaign Registry (ICR) Implementation Guide - Local Development build (v0.1.0) built by the FHIR (HL7® FHIR® Standard) Build Tools. See the Directory of published versions
| Official URL: https://icr.healthcampaigns.org/Questionnaire/espen-mda-case-management | Version: 0.1.0 | |||
| Active as of 2026-08-07 | Computable Name: EspenMDACaseManagement | |||
ESPEN MDA demo Form 4 (medicine use and case management): per-drug distributed totals, side-effect counts, other-NTD case counts. No template-based extraction (espen-remap): a distributed total is not a custody transfer, so it does not mint a SupplyDelivery — the treatment events are Form 3's Group-subject ICRMedicationAdministrations, and the distributed counts are folded into the stock-accountability extension on the Form 2 receipt ICRSupplyDelivery by the ingestion pipeline (a cross-form merge extraction cannot express). Side-effect and other-NTD counts remain on the QuestionnaireResponse: person-level ICRAdverseEvent records cannot be minted from aggregate counts.
| LinkID | Text | Cardinality | Type | Description & Constraints |
|---|---|---|---|---|
  EspenMDACaseManagement | ESPEN MDA demo Form 4 (medicine use and case management): per-drug distributed totals, side-effect counts, other-NTD case counts. No template-based extraction (espen-remap): a distributed total is not a custody transfer, so it does not mint a SupplyDelivery — the treatment events are Form 3's Group-subject ICRMedicationAdministrations, and the distributed counts are folded into the stock-accountability extension on the Form 2 receipt ICRSupplyDelivery by the ingestion pipeline (a cross-form merge extraction cannot express). Side-effect and other-NTD counts remain on the QuestionnaireResponse: person-level ICRAdverseEvent records cannot be minted from aggregate counts. | Questionnaire | https://icr.healthcampaigns.org/Questionnaire/espen-mda-case-management#0.1.0 | |
  p_state | Select State / Region / Province | 1..1 | string | Value Set: |
| p_district | Select District / LGA / County | 1..1 | string | Value Set: |
| p_health_facility | Enter the Health facility / Sub district | 1..1 | string | Value Set: |
 p_disease | Disease covered by the TDM | 1..* | choice | Value Set: ICR NTD Disease |
| p_medicine | Select the medcine package | 1..* | choice | Value Set: ICR MDA Medicine Package |
  med_distr | Medicines Distributed | 0..1 | group | Value Set: |
  p_total_pzq_dist | Total Praziquantel distributed | 1..1 | integer | Enable When:
Value Set: |
| p_total_alb_dist | Total Albendazole distributed | 1..1 | integer | Enable When:
Value Set: |
| p_total_meb_dist | Total Mebendazole distributed | 1..1 | integer | Enable When:
Value Set: |
| p_total_ivm_dist | Total Ivermectin distributed | 1..1 | integer | Enable When:
Value Set: |
| p_total_dec_dist | Total Diethylcarbamazine distributed | 1..1 | integer | Enable When: p_medicine = IVM + ALB + DEC (ICR MDA Medicine Package#ivm-alb-dec) Value Set: |
| p_total_az_sus_dist | Total Azithromycin suspension (in l) distributed | 1..1 | integer | Enable When: p_medicine = AZM suspension (azithromycin) (ICR MDA Medicine Package#azm-susp) Value Set: |
| p_total_az_tab_dist | Total Azithromycin tablets distributed | 1..1 | integer | Enable When: p_medicine = AZM tablets (azithromycin) (ICR MDA Medicine Package#azm-tab) Value Set: |
| p_total_tetra_dist | Total Tetracycline distributed | 1..1 | integer | Enable When: p_medicine = TETRA (tetracycline eye ointment) (ICR MDA Medicine Package#tetra) Value Set: |
| p_minor_side_effect | Number of cases of minor side effects | 1..1 | integer | Value Set: |
 p_serious_side_effect | Number of cases of serious side effects | 1..1 | integer | Value Set: |
| other_ntd_rep | Cases of other NTDs identified | 0..1 | group | Value Set: |
| p_guinea_worm_rumor | Number of Guinea Worm rumors | 1..1 | integer | Value Set: |
| p_leish_suspect | Number of suspected cases of Leishmaniasis | 1..1 | integer | Value Set: |
| p_buruli_ulcer_suspect | Number of suspected cases of Buruli ulcer | 1..1 | integer | Value Set: |
| p_Lymphoedema_LF | Number of cases with LF lymphoedema | 1..1 | integer | Value Set: |
| P_hydrocele_LF | Number of cases with LF Hydrocele | 1..1 | integer | Value Set: |
 p_add_note | Additional Note | 0..1 | text | Value Set: |
| Documentation for this format | ||||