HHFA Indicator inventory

The HHFA indicator inventory platform displays all the indicators that can be calculated for the HHFA. It includes information on how the indicators are expected to be tabulated and organized in the HHFA report, as well as the survey questions and code needed to calculate each indicator. The indicator inventory provides a quick way to understand the HHFA content and can also be downloaded from the platform as an Excel document.

 

Access the indicator inventory platform

 

About the indicator inventory

The HHFA includes core and additional indicators. Core indicators represent the minimum recommended indicator set. Further indicators can be selected from the additional indicator set, based on country needs. Countries planning an HHFA should firstly review the indicator inventory to identify the indicators they need, then select the relevant questionnaires and questions.

Most HHFA indicators are expressed as percentages, for example:

  • Percentage of facilities offering antenatal care
  • Percentage of facilities offering family planning services with staff trained in family planning

    Summary or composite indicators, also called indexes, are used to summarize information about multiple indicators and domains of indicators, for example:

  • Malaria service readiness index: percentage of facilities with all items. This index reflects the availability of a minimum set of items needed to deliver quality malaria services.

    The indicator inventory provides two views of the indicators: a “listing” view and a “tabulation” view. The “listing” view shows a simple list of all the indicators. The “tabulation” view shows a nested list that groups the indicators into service dimensions, areas, sub-areas, tables, and indicators. Filter options are available to search for indicators. Clicking on an individual indicator provides detailed information about the indicator. Users can also download a selection of indicators or selection of data fields directly from the indicator inventory platform.

HHFA data analysis platform

The HHFA data analysis platform is an online web application that can be used to conduct all the analysis required to produce a HHFA report. The platform automatically calculates the standard HHFA indicators and produces standard set of analysis outputs in the form of tables, charts, and maps. The structure of the analysis outputs is consistent with the organization of indicators and tables within the HHFA indicator inventory platform.

 

Access the data analysis platform

 

The platform is accessed by navigating to the website and clicking “Sign in”. Access is immediate for individuals that have a WHO email address (@who.int), or that have already been given guest access to the WHO sign-in system. Individuals that do not already have WHO guest access, can request access by contacting the HHFA coordination team at hhfa@who.int. The coordination team will send an invitation through the WHO single sign-in system (Microsoft SSO). Once the invitation has been accepted and access granted, users can navigate to the website and click “Sign in” to start using the analysis platform.

 

About the data analysis platform

 

The data analysis platform is designed to enable quick and easy analysis of a HHFA dataset. A country team uploads a cleaned dataset (after cleaning in CSPro), configures a minimal set of options, runs all the analyses required to produce the default indicators, and generates a template output report in Word (and PDF) ideally within a few hours. A dataset that has been collected using the official standard HHFA CSPro package, and has been cleaned and vetted, should not require significant configuration on the platform. A dataset collected using a customized tool, or with renamed questions or variables, will require some additional configuration.

The platform runs fully online and does not require software to be downloaded or installed. The user can simply navigate to the website and start using the tool. Furthermore, the platform does not require users to be familiar with any advanced statistical software. However, users will need a foundational understanding of descriptive statistics to be able to interpret and interrogate the platform’s analytical outputs, and to configure any required custom indicators.