Using lot quality assessment techniques to evaluate quality of data in a community-based health information system

We report here on the application of lot quality assessment (LQA) techniques by managers of a Save the Children (SC) Child Survival Project in Mbalachanda, Malawi, to evaluate data contained in a community-based health information system. By defining 'lots' as the health records for all households with children under 5 years old which were listed on the rosters of village health promoters supervised by a given community health supervisor, and by establishing criteria for 'acceptability' of samples drawn from these lots, we were able to identify and offer additional supervision to health workers (supervisors as well as village health promoters) who were not performing adequately. As LQA sampling procedures require that only a small sample be drawn from each lot, the assessment could be conducted easily and quickly. Health workers were found to have the greatest need for help in updating demographic data and information about home-based oral rehydration therapy (ORT) training sessions, and the least for help in recording children's immunization status. We conclude that LQA can be a useful supervisory tool for health programme managers.