| Literature DB >> 29284701 |
Liuichi Hara1, Ramy Guirguis2, Keith Hummel3, Monica Villanueva4.
Abstract
The United Nations Population Fund (UNFPA) and the United States Agency for International Development (USAID) DELIVER PROJECT work together to strengthen public health commodity supply chains by standardizing bar coding under a single set of global standards. From 2015, UNFPA and USAID collaborated to pilot test how tracking and tracing of bar coded health products could be operationalized in the public health supply chains of Ethiopia and Pakistan and inform the ecosystem needed to begin full implementation. Pakistan had been using proprietary bar codes for inventory management of contraceptive supplies but transitioned to global standards-based bar codes during the pilot. The transition allowed Pakistan to leverage the original bar codes that were preprinted by global manufacturers as opposed to printing new bar codes at the central warehouse. However, barriers at lower service delivery levels prevented full realization of end-to-end data visibility. Key barriers at the district level were the lack of a digital inventory management system and absence of bar codes at the primary-level packaging level, such as single blister packs. The team in Ethiopia developed an open-sourced smartphone application that allowed the team to scan bar codes using the mobile phone's camera and to push the captured data to the country's data mart. Real-time tracking and tracing occurred from the central warehouse to the Addis Ababa distribution hub and to 2 health centers. These pilots demonstrated that standardized product identification and bar codes can significantly improve accuracy over manual stock counts while significantly streamlining the stock-taking process, resulting in efficiencies. The pilots also showed that bar coding technology by itself is not sufficient to ensure data visibility. Rather, by using global standards for identification and data capture of pharmaceuticals and medical devices, and integrating the data captured into national and global tracking systems, countries are able to lay the foundation for interoperability and ensure a harmonized language between global health stakeholders. © Hara et al.Entities:
Mesh:
Year: 2017 PMID: 29284701 PMCID: PMC5752613 DOI: 10.9745/GHSP-D-16-00350
Source DB: PubMed Journal: Glob Health Sci Pract ISSN: 2169-575X
FIGURE 1.Pakistan End-to-End Dashboard Structure
FIGURE 2.GS1 Package Hierarchy Examples
FIGURE 3.Ethiopia End-to-End Dashboard Sample
Time for Scanning and Recording the Digital Bar Code Information, Ethiopia Pilot Test
| Location | Transaction | No. of Scans | Time to Scan and Record Information From Bar Code | Comments |
|---|---|---|---|---|
| Central store | Inbound receipt | 13 tertiary-level shipper boxes | 3 minutes and 37 seconds | Recorded time included physically moving the packages and obstacles |
| Central store | Inbound receipt | 63 secondary-level packages | 24 minutes and 38 seconds | Software optimization made during the test; used smartphone torch feature and improved scanning technique based on experience at the central store |
| Addis Ababa distribution hub | Inbound receipt | 13 tertiary-level shipper boxes | 2 minutes | |
| Addis Ababa distribution hub | Inbound receipt | 50 secondary-level packages | 15 minutes | Quantity split between 2 local health centers |
| Addis Ababa distribution hub | Outbound to local health center | 230 secondary-level packages | Less than 25 minutes |
Comparison of the Pakistan and Ethiopia Pilot Tests
| Features | Pakistan | Ethiopia |
|---|---|---|
| In-country electronic logistics management information system | cLMIS | HCMIS |
| Bar coding | Transition from proprietary to GS1 bar codes | GS1 bar codes, from the outset |
| E2E dashboard | Achieved by integrating RHI with cLMIS and incorporating data from bar code scanning | Achieved by integrating RHI with HCMIS and incorporating data from bar code scanning |
| Serialization | Not part of the pilot test | Serialization was done at the secondary package level |
| Scanning approach | Handheld optical scanners | Open-sourced Android smartphone app developed locally (HCMIS barcode scanner) |
| Where track and trace was pilot tested | Central Warehouse and Supplies, Karachi to Lahore district store | Central warehouse to Addis Ababa distribution hub to Woreda health center and Nefas Silk Lafto health center |
| Result | Full E2E track and trace was not achieved due to lack of inventory management system at the district level and lack of bar codes at the primary unit level | Full E2E track and trace via digital scanning demonstrated to the exact number of packages distributed between the 2 health centers |
Abbreviations: cLMIS, contraceptive logistics management information system; E2E, end-to-end (supply chain); HCMIS, Health Commodity Management Information System; RHI, Reproductive Health Interchange.
Comparison Between Smartphone and Handheld Scanners
| Approach | Pros | Cons |
|---|---|---|
| Smartphone scanner |
Flexibility to customize and update app software Ability to leverage existing personal smartphones Ability to adopt or adapt the app (open-source) |
Poor ergonomic design for scanning Slower scan speed rate Function depends on mobile penetration in the country Several mobile apps, which can be confusing for the user Higher battery burn rate to smartphone |
| Handheld scanner |
Faster scan speed rate Good ergonomic design for scanning |
Stable funding is needed to procure, maintain, and/or upgrade handheld scanners at all distribution touch points |
| Hybrid handheld scanner connected to a smartphone via Bluetooth (as an alternative for future consideration) |
Lower cost than traditional handheld scanner Faster scan speed rate Good ergonomic design for scanning Can leverage smartphone app software |
Higher battery burn rate to smartphone |