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Developing a latent class analysis model to identify at-risk populations among people using medicine without
Praveen Kumar-M1, Rahul Mahajan2, S Kathirvel3
1Department of Pharmacology, Postgraduate Institute of Medical Education and Research (PGIMER) , Chandigarh, India.
Introduction:
There exist limited strategies to address the issue of topical medication without prescription (MWP) use.
Material And Methods:
A survey with pre-coded questionnaires was conducted with 210 patients following up in the dermatology clinic of a tertiary care center. The knowledge and attitude scores were regressed against demographics and exploratory practice questions, and latent class analysis was carried out to check any particular set of characteristics associated with study subpopulations.
Results:
Forty-seven (22%) participants were found using topical antimicrobial containing MWP. Participants with good knowledge score had 3.41 (95% C.I. = 1.68-7.33), 2.99 (1.37-6.73), and 2.49 (1.26-5.15) times association with opting of distance as the prime reason for availing topical MWP, habit of always reading the accompanying drug leaflet, and understanding that OTC topical medication may change the effect of the already prescribed drugs. Participants with good attitude score showed 2.76 (1.50-5.13) times association with limiting the use of steroid containing topical MWP. Latent class analysis identified one subset of participants having lesser knowledge and attitude scores and quoted financial reasons for the procurement of MWP; however, it was found to have greater income as compared to remaining participants.
Conclusion:
The strategy to identify the target patient audience so as to deliver patient education intervention programs, regarding safe and effective use of MWP was built.
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