The Household Food Insecurity Access Scale (HFIAS) is one of the four experience-based food insecurity scales included in Data4Diets, along with the Household Hunger Scale (HHS), the Latin American and Caribbean Food Security Scale (ELCSA), and the Food Insecurity Experience Scale (FIES). The HFIAS was developed between 2001 and 2006 by the USAID-funded Food and Nutrition Technical Assistance II (FANTA) project. The cross-country validation of the HFIAS provided the foundation for the development of the HHS (Ballard et al., 2011).
Like other experience-based indicators, the HFIAS is constructed from a short questionnaire that captures households' behavioral and psychological manifestations of insecure food access, such as having to reduce the number of meals consumed or cut back on the quality of the food due to a lack of resources. Responses to the questionnaire enable the household to be pinpointed on a spectrum that indicates the degree of severity of insecure food access.
Method of Construction
The HFIAS module consists of nine "occurrence" and nine "frequency-of-occurrence" questions, that should be answered according to the household food security experience in the previous 30 days. The respondent is first asked if a given condition was experienced (yes or no) and, if it was, with what frequency (rarely, sometimes, or often). The resulting responses can be transformed into either a continuous or categorical indicator of food security. When calculating the HFIAS as a continuous indicator, each of the nine questions is scored 0-3, with 3 being the highest frequency of occurrence, and the scores are added together. The total HFIAS can range from 0 to 27, indicating the degree of insecure food access. As a categorical variable, households are categorized as food secure, mildly food insecure, moderately food insecure, or severely food insecure (for more details see Table 4, page 14, in Coates et al., 2007). The more affirmative responses and the more frequent the experience is, the more severe the food insecurity of a household. For more in-depth information on using and interpreting the HFIAS, refer to the guide created by FANTA ( Coates et al., 2007).
Information gathered from the HFIAS can be used to assess the prevalence of household food insecurity in a population, as well as changes in food insecurity over time. This is useful in the population-level food policy-making, and monitoring and evaluation of food access-related programs. The HFIAS has been used in myriad surveys to measure food insecurity in various contexts. For example, an adapted version is used in the publicly available Bangladesh Integrated Household Survey, and in the Malnutrition and Enteric Infections: Consequences for Child Health and Development (MAL-ED) Network cohort study, which assessed relationships between food security and birthweight (McQuade et al., 2019). Another illustrative example is the inclusion of the HFIAS as one of the tools used for rapid Emergency Food Security Assessments conducted by the World Food Programme (WFP, 2009).
Like all experience-based food insecurity scales, the HFIAS does not quantify food consumption nor assess the adequacy of diet quality; doing so would require other methods and indicators, such as a 24-hour dietary recall to calculate the MeanAdequacy Ratio (MAR), or a diet diversity index to determine the Minimum Dietary Diversity Score for Women (MDD-W).
Strengths and Weaknesses
One strength of the HFIAS is that it is able to detect aspects of food insecurity involving decreased access to a sufficient quantity or quality of food. It also detects psychosocial manifestations of anxiety and uncertainty around food access, with negative implications for health and well-being (Ballard et al., 2013). Additionally, it is understandable and validated in many contexts, including urban (e.g. Mohammadi et al., 2012) and rural (e.g. Knueppel et al., 2010) settings. It is also relatively short and can easily be added as a module to other household surveys.
One of the weaknesses of this indicator is that some of the items in the questionnaire do not meet strict psychometric criteria for cultural invariance, meaning that it should not be used to make comparisons across diverse socio-cultural countries and contexts (Deitchler et al., 2010). In the process of testing the HFIAS for cultural invariance, the HHS was developed as a cross-culturally valid alternative. It consists of three of the more severe items from the HFIAS and has been validated for cross-country comparison (Ballard et al., 2011). The HFIAS is more comprehensive than the HHS and has a broader measurement range, meaning that it can capture conditions ranging from mild food insecurity to very severe food insecurity, whereas the HHS focuses only on the most severe end of the food security spectrum. The HFIAS should undergo some basic adaptation of terms for the context in which it will be used in order to improve its performance (guidance for this process can be found in Section 2 of the HFIAS user manual, Coates et al., 2007). The HFIAS is meant for population-level use only, meaning that it should not be used, for instance, to screen households for program eligibility.
When data are collected at the household level, the selected respondent, usually the primary food preparer, may not always be in a position to accurately represent the experience of all household members. If any member of the household is reported as experiencing a food insecurity condition on the questionnaire, the entire household is classified as food insecure. This means the indicator potentially overestimates the number of food insecure individuals in a household, while providing an accurate count of households with at least one food insecure member. Relatedly, bias may be introduced from the fact that the selected respondent's perception of their household's experience is not representative of all other household members (Coates et al., 2010).
The data required to calculate this indicator are collected using the HFIAS module (Coates et al., 2007), which can be easily integrated into a broader household survey.
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