Despite the apparent benefits, investment in preventative health products is persistently low in many developing countries. There are many commonly cited reasons for such underinvestment. This study explores several of the most common. First, households may lack health information. They may not be fully aware of the health risks they face or of the role that a product can have in preventing such risks. Second, households may face liquidity constraints, and lack the ready cash to purchase preventive products. Third, there may be intra-household conflict in spending on health, particularly for children. It is important to understand the significance of each of these possible explanations in order to develop more efficient health investment mechanisms.
This evaluation took place in four countries. In Guatemala, India, and Uganda the researchers conducted smaller-scale studies which tested a subset of the hypotheses listed above. In Kenya, a wider set of hypotheses were tested.
The study involved four main experimental treatments. First, the researchers estimated how much people’s demand for health products falls as price increases by providing households with a coupon offering a random discount on the shoes (5, 15, 25, 35, 55, or 65 Ksh). Second, to measure the impact of information on health investment, they randomly selected half of the households to receive an information script on the symptoms of worms, transmission pathways, and on several strategies to prevent worms, including wearing shoes, using pit latrines, and maintaining proper hygiene. Third, to measure the role of liquidity, researchers provided households with randomly varying cash payments. Fourth, to measure whether there were differences within the household in terms of willingness to invest in health technology, researchers randomly selected either the husband or the wife to receive the intervention.
The information script substantially increased people’s knowledge about intestinal worms – respondents who were given the script scored 24-34 percentage points higher on a nine-question worm quiz. However, it had no impact on their ultimate purchase decision.