Computer-Assisted Qualitative Data Analysis in the Healthcare Cold Chain

Healthcare Cold Chain (HCC) involves a number of health-related stakeholders, in which procedures are needed to ensure the proper storage and distribution of health services and medical products at recommended temperatures to maintain their potency. In this study, we conduct the qualitative analysis for key issues and concerns in the HCC by using computer-assisted qualitative analysis tool called Atlas.ti program. Data are initially collected from 332 samples based on seven groups of HCC stakeholders in Thailand and then later analyzed using the content analysis by evaluating key themes of issues and concerns in the HCC. Our analysis using the Sankey diagram shows that key concerns can be classified and categorized to 9 group codes, where the top three ranks are 1) knowledge and training for key involved staffs, 2) an effectiveness of temperature control in the chain, and 3) equipment as well as storage resource, respectively. Finally, characteristics of concerns are examined for each type of stakeholders to obtain key insights in the study.