Mobile authentication service in Nigeria: An assessment of community pharmacists’ acceptance and providers’ views of successes and challenges of deployment

Main Article Content

Keywords

Information Technology, Mobile Applications, Telemedicine, Counterfeit Drugs, Drug Trafficking, Pharmacies, Perception, Awareness, Attitude of Health Personnel, Surveys and Questionnaires, Nigeria

Abstract

Background: Mobile Authentication Service (MAS) is a mobile health technology deployed to hinder the retailing of falsified medicines to consumers in Nigeria. But, some community pharmacists reported that points of failures of MAS have negatively impacted their practices.


Objectives: The objectives of this study were (1) to assess the acceptance of MAS by community pharmacists; (2) to explore the views of MAS providers on the challenges and successes of MAS deployment in Nigeria.


Methods: A quantitative cross sectional survey was used to investigate community pharmacists’ acceptance of MAS. A validated structured questionnaire, based on Technology Acceptance Model, was distributed to 326 community pharmacists. In addition, a structured interview guide was employed to explore MAS providers’ views of challenges and successes of MAS deployment in Nigeria.


Results: Just about half (53%) of responding community pharmacists were keen on using MAS. In addition, 51% of them would recommend the service to other practitioners and 54% would encourage their clients to use it. The results of the study indicated that both awareness and perceived reliability played important role in the behavioural intention to use the MAS. The findings from the exploration of MAS providers’ views showed that the problems encountered with MAS (no response and wrong response) were mainly due to contextual challenges in the Nigerian setting. These contextual challenges like the Global System Mobile downtime, incessant power outages and limited ability of consumers to use the Short Message Service, all contributed to the limited success of MAS in Nigeria.


Conclusions: Acceptance of mobile authentication service by community pharmacists is moderate. Perceived reliability and awareness are important factors that affect behavioural intention to use MAS. The limited success of MAS deployment appeared to be as a result of its interaction with the local context, where it has been deployed.

Abstract 4326 | pdf Downloads 560 online appendix Downloads 97

References

1. Ozawa S, Evans DR, Bessias S, Haynie DG, Yemeke TT, Laing SK, Herrington JE. Prevalence and estimated economic burden of substandard and falsified medicines in low-and middle-income countries. A systematic review and meta-analysis. JAMA Netw Open. 2018 Aug 3;1(4):e181662. https://doi.org/10.1001/jamanetworkopen.2018.1662
2. World Health Organisation. WHO Global Surveillance and Monitoring System for substandard and falsified medical products. Geneva. Available at: https://www.who.int/medicines/regulation/ssffc/publications/GSMS_Report.pdf?ua=1 Accessed Dec 8, 2018).
3. Spink J, Moyer DC, Rip MR. Addressing the Risk of Product Fraud: A Case Study of the Nigerian Combating Counterfeiting and Sub-Standard Medicines Initiatives. J Forensic Sci Criminol. 2016;4(2):201.
4. Akinyandenu O. Counterfeit drugs in Nigeria: A threat to public health. Afr J Pharm Pharmacol. 2013;7(36):2571-2576. https://doi.org/10.5897/AJPP12.343
5. Iwokwagh NS. Assessment of new media use in the fight against counterfeit medicines in Nigeria. International Conference on Communication, Media, Technology and Design. Famagusta – North Cyprus: 2013. Available at: http://www.cmdconf.net/2013/makale/PDF/5.pdf (accessed Dec 24, 2018).
6. NAFDAC. Guidelines for Procurement and the management of the Mobile Authentication Service (MAS) scheme in Nigeria [Internet]. Abuja: National Agency for Food and Drug Administration and Control; 2018 Available at: https://www.nafdac.gov.ng/wp-content/uploads/Files/Resources/Guidelines/PVG_GUIDELINES/NAFDAC-MAS-Guidelines-Final.pdf (accessed Mar 4, 2019).
7. NAFDAC. Mobile Authentication Service [Internet]. Abuja: National Agency for Food and Drug Administration and Control; 2017 Available at: https://www.nafdac.gov.ng/our-services/pharmacovigilance-post-market-surveillance/mobile-authentication-service-mas/ (accessed 2018 December 24).
8. Ebenezer CJ. Pharmaceutical quality and policy in Nigeria: Stakeholder perspectives and validation of the mobile authentication service [E-Thesis (Doctoral)]. [London, UK]: University College London School of Pharmacy; 2015. 461 p. Available at: http://discovery.ucl.ac.uk/1461259/ (accessed Dec 8, 2018).
9. Oyetunde O, Ilozumba P. Mobile Authentication Service: Curbing circulation of fake Medicines and Assessing Consumer's Response. West African Journal of Pharmacy 2013;24(2):102-108.
10. Aisagbonhi J, Ilomuanya M. Securing the pharmaceutical supply chain: A study of the use of Mobile Authentication Service (MAS) among the Nigerian populace utilizing antimalarials. Afr J Pharm Pharmacol. 2016;10(39):839-848. https://doi.org/10.5897/AJPP2016.4667
11. Eronmhonsele JI. Detecting Counterfeit Drugs through Mobile Authentication Service (MAS): Users’ Challenges in Edo South Senatorial District. Int J Pharm Sci Invent. 2015;4 (9):13-18.
12. Ezurum NR. Knowledge, Attitudes and Perception of Consumers in Lagos State On the Effectiveness Of Mobile Authentication Service (M.A.S) As An AntiCounterfeiting Tool. Lagos, Nigeria [Dissertation]; Lagos, Nigeria: West African College of Pharmacy; 2015.
13. Adedini A, Oladehinde S, Oyetunde O. Efficency of mobile authentication service technology on phase 1 enabled drug products - a preliminary study. Nig Q J Hosp Med. 2016;26(1):335-338.
14. Obinna C. Community pharmacists raise alarm over proliferation of fake medicines. Vangurd Newspaper [Internet]. 2015; Available from: http://www.vanguardngr.com/2015/03/community-pharmacists-raise-alarm-over-proliferation-of-fake-medicines/ (accessed Dec 11, 2018).
15. Oladehinde, OA. Pharmacists’ acceptance of the Mobile Authentication Service based on technology acceptance model [Thesis (undergraduate)]: Lagos, Nigeria; Faculty of Pharmacy, University of Lagos; 2015.
16. King WR, He, J. A meta-analysis of the technology acceptance model. Inform Manag. 2006;43(6):740-755. https://doi.org/10.1016/j.im.2006.05.003
17. Holden RJ, Brown RL, Scanlon MC, Karsh B. Pharmacy workers' perceptions and acceptance of bar-coded medication technology in a pediatric hospital. Res Social Adm Pharm. 2012;8(6):509-522. https://doi.org/10.1016/j.sapharm.2012.01.004
18. Raosoft sample size calculator. Available at http://www.raosoft.com/samplesize.html (accessed Dec 11, 2018).
19. Murray CD, Sixsmith J. E-mail: a qualitative research medium for interviewing? Int J Soc Res Methodol. 1998;1(2):103-121. https://doi.org/10.1080/13645579.1998.10846867
20. R Core Team. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Available at: http://www.R-project.org/ (accessed Dec 11, 2018).
21. Tucker LR, Lewis C. A reliability coefficient for maximum likelihood factor analysis. Psychometrika 1973;38(1):1-10.
22. The VFA. securPharm – the new system to prevent falsified medicines from entering the German drug supply chain. Available at: https://www.vfa.de/de/englische-inhalte/securpharm-german-contribution-to-the-upcoming-extended-eu-falsified-medicines-directive (accessed Dec 11, 2018).
23. Gholamreza K, Li Z. Implementation of Technology Acceptance Model (TAM) in Business Research on Web Based Learning System. Int J Innov Technol Explor Engineer. 2014;3(11):2278-3075.
24. Medical Research Council. Developing and Evaluating Complex Interventions: A New Guidance; 2008. http://www.mrc.ac.uk/complexinterventionsguidance (accessed Dec 11, 2018).
25. Datta J, Petticrew M. Challenges to evaluating complex interventions: a content analysis of published papers. BMC Public Health. 2013;13:568. https://doi.org/10.1186/1471-2458-13-568
26. Adegoke A, Babalola I. Quality of service analysis of GSM telephone system in Nigeria. Am J Sci Ind Res. 2011; 2(5):707-712. https://doi.org/10.5251/ajsir.2011.2.5.707.712
27. Adegoke AS, Babalola IT, Balogun WA. Performance evaluation of GSM mobile system in Nigeria. Pacific J Sci Technol. 2008;9(2):436-441.
28. Moore GF, Audrey S, Barker M, Bond L, Bonell C, Hardeman W, Moore L, O'Cathain A, Tinati T, Wight D, Baird J. Process evaluation of complex interventions: Medical Research Council guidance. BMJ. 2015;350:h1258. https://doi.org/10.1136/bmj.h1258
29. Howell JM, Higgins CA. Champions of Technological Innovation. Adm Sci Q. 1990;35(2):317-341. http://dx.doi.org/10.2307/2393393
30. Shaw EK, Howard J, West DR, Crabtree BF, Nease DE Jr, Tutt B, Nutting PA. The role of the champion in primary care change efforts. J Am Board Fam Med. 2012;25(5):676-685. https://doi.org/10.3122/jabfm.2012.05.110281
31. Nanji KC, Cina J, Patel N, Churchill W, Gandhi TK, Poon EG. Overcoming barriers to the implementation of a pharmacy bar code scanning system for medication dispensing: a case study. J Am Med Inform Assoc. 2009;16(5):645-650. https://doi.org/10.1197/jamia.M3107