The impact of pill counting on resource-limited health facilities: a thematic qualitative analysis in eSwatini

Abstract

Abstract Research on health systems in resource-limited settings has garnered considerable attention, but the dispensing of individual prescriptions has not been thoroughly explored as a specific bottleneck to effective delivery of care. The rise of human immunodeficiency virus/tuberculosis prevalence and non-communicable diseases in the Kingdom of eSwatini has introduced significant pressures on health facilities to meet patient demands for lifelong medications. Because automated pill counting methods are impracticable and expensive, most prescriptions are made by means of manually counting individual prescriptions using a plastic dish and spatula. The aim of this work was to examine the perceptions of health providers of causes for pill counting errors, and pill counting’s impact on clinic workflow. Our study took place in 13 randomly selected public health facilities in eSwatini, stratified by three groups based on monthly patient volumes. Thirty-one participants who count pills regularly and 13 clinic supervisors were interviewed with semi-structured materials and were audio-recorded for later transcription. Interviews were thematically analysed with inductive coding and three major themes emerged: workflow, counting error causes and effect on clinic function. Findings demonstrate large variety in how facilities manage pill counting for prescription making. Due to patient demands, most facilities utilize all available personnel, from cleaners to nurses, to partake in prescription making. Major causes for pill counting errors were distractions, exhaustion and being hurried. Participants mentioned that patients said that they had initially received the wrong quantity of pills and this affected medication adherence measurements based off pill counts. Most participants described how efforts put into pill counting detracted from their work performance, wasted valuable time and increased patient wait times. Future research is needed to quantify prescription accuracy, but our data suggest that interventions directly alleviating the burden of pill counting could lead to improved clinic quality and possibly improve patient outcomes.