Understanding Adoption of Clean Cookstoves

Health conditions resulting from household air pollution (HAP) are responsible for approximately 3.9 million premature deaths each year. Exposure to HAP is the third largest preventable contributor to illness worldwide. Even so, HAP exposures persist since 3 billion individuals worldwide continue to rely on biomass fuel for cooking and heating, especially in the developing world. Though the transition away from traditional biomass stoves is projected curb the health effects of HAP by mitigating exposure, the benefits of newer clean cookstove technologies can only be fully realized if use of these stoves is exclusive and sustained. Most studies indicate that the provision of clean cookstoves to these individuals is, on its own, insufficient to encourage and foster adoption. In order to better understand how to promote clean cookstove adoption, the proposed study aims to (1) develop an educational intervention to promote clean cookstove adoption and sustained use and (2) determine the influence of liquid petroleum gasoline (LPG) accessibility on product demand.

Households enrolled into the control and the BioLite arms of GRAPHS (the parent study) will receive clean LPG cookstoves for their participation in the study (clinicaltrials.gov registration: NCT01335490). The objective of this study is to test the relative impact of two approaches to encourage stove use: providing a behavior change intervention and offering convenient access to LPG refueling. The investigators hypothesize that these interventions will increase overall use of LPG cook stoves.

Prior evidence on the role of health information in promoting the adoption of health-promoting technology is limited, and the results are mixed. Although little work has been done to investigate the importance of accessibility to sustained use of cookstoves, accessibility remains one of the basic market drivers of product demand.

A total of 27 communities will be cluster randomized, with 979 study households nested throughout the sites. The study arms will be arranged as a 2x2 factorial design, with approximately equal numbers of households in each arm.