Mapping the international health regulations monitoring and evaluation framework: an expert consultation, triangulation crosswalk and quantitative analysis.

The International Health Regulations Monitoring and Evaluation Framework (IHRMEF) includes four components regularly conducted by States Parties to measure the current status of International Health Regulations (IHR) 2005 core capacities and provide recommendations for strengthening these capacities. However, the four components are conducted independently of one another and have no systematic referral to each other before, during or after each process, despite being largely conducted by the same team, country and support organisations. This analysis sets out to identify ways in which IHRMEF components could work more synergistically to effectively measure the status of IHR core capacities, taking into account the country's priority risks. We developed a methodology to allow these independent components to communicate with each other, including expert consultation, a qualitative crosswalk analysis and a country-level quantitative analysis. The demonstrated results act as a proof of concept and illustrate a methodology to provide benefits across all four components before, during and after implementation.

Do interoperable national information systems enhance availability of data to assess the effect of scale-up of HIV services on health workforce deployment in resource-limited countries?

Sub-Saharan Africa (SSA) bears the heaviest burden of the HIV epidemic. Health workers play a critical role in the scale-up of HIV programs. SSA also has the weakest information and communication technology (ICT) infrastructure globally. Implementing interoperable national health information systems (HIS) is a challenge, even in developed countries. Countries in resource-limited settings have yet to demonstrate that interoperable systems can be achieved, and can improve quality of healthcare through enhanced data availability and use in the deployment of the health workforce. We established interoperable HIS integrating a Master Facility List (MFL), District Health Information Software (DHIS2), and Human Resources Information Systems (HRIS) through application programmers interfaces (API). We abstracted data on HIV care, health workers deployment, and health facilities geo-coordinates. Over 95% of data elements were exchanged between the MFL-DHIS and HRIS-DHIS. The correlation between the number of HIV-positive clients and nurses and clinical officers in 2013 was R2=0.251 and R2=0.261 respectively. Wrong MFL codes, data type mis-match and hyphens in legacy data were key causes of data transmission errors. Lack of information exchange standards for aggregate data made programming time-consuming.