Gender and Nutrition Measurement Tools: Evaluating Their Appropriateness in the Context of Zambia

The Zambian Demographic Health Survey indicates that women have lower education levels, literacy rates, and exposure to mass media compared to men, affecting their position in households and society. Improving nutrition status and gender equity in agricultural extension policy actions and project interventions will depend on the impact of past or ongoing interventions. Several measurement tools have been developed to monitor the impact of agricultural interventions on gender outcomes and improved nutrition. The Women Empowerment in Agriculture Index (WEAI) is widely used to measure the impact of agricultural interventions on gender equity. For impact on food access and nutrition, measurement tools such as Household Dietary Diversity Scores (HDDS), Individual Dietary Diversity Scores, Minimum Dietary Diversity for Women (MDD-W), Children's Dietary Diversity Scores (CDDS), and the Household Hunger Scale (HHS) are widely used. The field-testing of measurement tools for gender equity and nutrition impacts of agricultural interventions in Zambia has provided several lessons. The relatively low percentages of respondents that had difficulties in answering the questions indicate that the gender equity and nutrition measuring tools tested are applicable to the Zambian context. Most of the challenges faced by respondents in responding to the questions on the tools relate to a general lack of understanding of the questions, respondents' perceptions and expectations from the interview, socio-cultural influences, poor memory for recall questions, and questionnaire length. The level of education of the respondents largely explains the problems the respondents faced with understanding of some of the questions, the quality of responses, and recalling of activities and food consumed in the past. In addition to these challenges, the costs of implementing the tools turned out to be higher than expected due to the sandy terrain, poor road infrastructure, and long distances between the villages in Zambia, particularly in the Western Province. To use the tools more effectively in the future, data collection should not be conducted during the season of lean food supply as respondents' expectations of food aid influenced how certain questions were answered. Additionally, project implementation should prepare the beneficiaries for impact monitoring and evaluation to ensure accurate and reliable data collection.