Pictorial Representation on Non-Steroidal Anti-Inflammatory Drugs Product Package and its Influence on Self Medication among Adults in Alimosho LGA, Lagos State, Nigeria

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DOI: 10.21522/TIJPH.2013.11.01.Art013

Authors : Dunoi Onwuemezie Afam, Akintunde Azeez Yusuf

Abstract:

The purpose of this study is to determine the influence of pictorial representation on product packs of NSAIDs on their self-medication among adults in Alimosho Local Government Area (LGA) of Lagos State. The study is a descriptive inferential cross-sectional study that involved the collection of data from adults and secondary data from a regulatory authority. The data collected from questionnaires administered to adults who were randomly selected across the LGA was analyzed to evaluate the association between pictorial representation on product packs and the practice of self-medication. A time series analysis was conducted with secondary data obtained from the National Agency for Food and Drug Administration and Control (NAFDAC), Nigeria’s medicine regulatory agency, to determine the possible changes or trends that may have occurred with the availability of NSAIDs with pictorial representation. The respondents who participated in the research were adults who were 18 years and above. Of the 652 respondents, 50.8% were males, and 49.2% were females. Demographic profiles, Information sources, and pictorial influence on product packs of NSAID were tested for association with self-medication. Among respondents, 80.6% admitted that they are self-medicated, and 50.6% of them responded that pictorial representation influenced their decision to purchase NSAIDs. A binary logistic regression was performed to ascertain the association between demographic profile and the influence of pictorial representation on product packs of NSAIDs. The overall model was statistically significant, χ2 (9) = 33.097, p< 0.005. The model explained 1.05% (Nagelkerke R2) of the variance in a pictorial representation and correctly classified 62.3% of cases.

Keywords: Alimosho, Attitude, Knowledge, NSAID, Perception, Self-medication.

References:

[1] Bennadi, D. 2013 Self-medication: A current challenge. Journal of Basic and Clinical Pharmacy, 5(1), 19. https://doi.org/10.4103/0976-0105.128253.

[2] Esan D.T. 2018 “Assessment of Self-Medication Practices and Its Associated Factors among Undergraduates of a Private University in Nigeria”, Journal of Environmental and Public Health, vol. 2018, Article ID 5439079, 2018. https://doi.org/10.1155/2018/5439079.

[3] Shafie, M., Eyasu, M., Muzeyin, K., Worku, Y., and Martín-Aragón, S. 2018 Prevalence, and determinants of self-medication practice among selected households in Addis Ababa community. PloS one, 13(3), e0194122. https://doi.org/10.1371/journal.pone.0194122.

[4] Cline R.J. and Haynes K. M. 2001 Consumer health information seeking on the Internet: the state of the art, Health Education Research, 16(6):671–692, https://doi.org/10.1093/her/16.6.671.

[5] NAFDAC 2019 Drug and related product labelling regulations 2019 https://www.nafdac.gov.ng/wp-content/uploads/Files/Resources/Regulations/All_Regulations/Drug-and-Related-Product-Labelling-Regulations-2019.pdf.

[6] NAFDAC 2021 Drug And Related Products Labelling Regulations, 2021 https://www.nafdac.gov.ng/wp-content/uploads/Files/Resources/Regulations/Regulations_2021/Drug-and-Related-Product-Labelling-Regulations-2021.pdf (Accessed 27 May 2022).

[7] ALG (n.d) Alimosho Local Government Area in Metro Lagos https://www.citypopulation.de/php/nigeria-metrolagos.php?cid=NGA025003.

[8] LSG 2013 Lagos State Government Digest of Statistics 2013 http://mepb.lagosstate.gov.ng/wp-content/uploads/sites/29/2017/01/2013-Digest-ofStatistics.pdf.

[9] Wejnert, C., Pham, H., Krishna, N., Le, B., and DiNenno, E. 2012 Estimating design effect and calculating sample size for respondent-driven sampling studies of injection drug users in the United States. AIDS and behavior, 16(4), 797–806. https://doi.org/10.1007/s10461-012-0147-8.

[10] Charan J., and Biswas T. 2013 How to calculate sample size for different study designs in medical research, Indian journal of psychological medicine, 35(2), 121–126. https://doi.org/10.4103/0253-7176.116232.

[11] CSPro 2022 Census and Survey Processing System (CSPro) Online Available https://www.census.gov/data/software/cspro.html (Accessed April 2021).

[12] FAO and ADB 2020 Conducting Tablet-Based Field Data Collection with CSPro: A Handbook. Bangkok. https://doi.org/10.4060/ca7690en.

[13] Bruce N., et al. 2008 Quantitative research methods for health research: a practical interactive guide to epidemiology and statistics. Chichester, UK: Wiley.

[14] Boelsterli U. 2002 Mechanisms of NSAID-induced hepatotoxicity: focus on Nimesulide. Drug Safety, 25(9):633-648. DOI: 10.2165/00002018-200225090-00003. PMID: 12137558.

[15] Masubuchi Y., Yamada S., Horie T. 2000 Possible mechanisms of hepatocyte injury induced by diphenylamine and its structurally related NSAIDS. J Pharmacol Exp Ther, 292:982–987.

[16] Motola D., Vaccheri A., Silvani M. C., et al. 2004 Pattern of NSAID use in the Italian general population: a questionnaire-based survey. European Journal of Clinical Pharmacology, 60(10):731–8.

[17] Ek, S. 2013 Gender differences in health information behaviour: a Finnish population-based survey Online available at: http://heapro.oxfordjournals.org/content/early/2013/08/28/heapro.dat063.full.pdf+html (Accessed 01 October, 2022).

[18] Bidmon, S. and Terlutter, R. 2015 Gender Differences in Searching for Health Information on the Internet and the Virtual Patient-Physician Relationship in Germany: Exploratory Results on How Men and Women Differ and Why Journal of Medical Internet Research 2015, Volume 17, No 6: e156 (Accessed 01 October 2022).

[19] NAFDAC 2020 NAFDAC Green Book https://greenbook.nafdac.gov.ng/ (Accessed 11 October 2022).

[20] Asakitikpi, A. E. 2019 Healthcare Coverage and Affordability in Nigeria: An Alternative Model to Equitable Healthcare Delivery. In (Ed.), Universal Health Coverage. Intech Open. https://doi.org/10.5772/intechopen.85978.

[21] Bart J. and Por M. et al. 2012 Addressing access barriers to health services: an analytical framework for selecting appropriate interventions in low-income Asian countries, Health Policy, and Planning, 27(4):288–300, https://doi.org/10.1093/heapol/czr038.

[22] McLeod S. 2019 What’s the difference between qualitative and quantitative research? https://www.simplypsychology.org/qualitative-quantitative.html.

[23] Akinyuli, D. 2010 The Challenges Faced by NAFDAC in the National Regulatory Process as it relates to Essential Drugs for the prevention of Maternal and Newborn Deaths in Nigeria Tropical Journal Obstetrics and Gynaecology, Vol 27 (1), April 2010 file:///C:/Users/user/Downloads/85148-Article%20Text-208263-1-10-20130201.pdf.