Development and validation of self-administration medication error tool

Authors

  • Anusha Natarajan Department of Pharmacology, JIPMER, Puducherry, India
  • Bhargavi Kumar Department of Pharmacology, JIPMER, Puducherry, India
  • Priyadarsini Rajendran Department of Pharmacology, JIPMER, Puducherry, India

DOI:

https://doi.org/10.18203/2320-6012.ijrms20250981

Keywords:

Medication adherence, Medication error, Self-administration, Self-medication

Abstract

Background: Medication errors during self-administration pose significant risks to patient safety. The absence of standardized tools to assess and mitigate self-administration errors necessitates the development of a reliable instrument, to identify patients at risk and enhance patient outcomes by reducing adverse drug events.

Methods: This quantitative study was conducted at Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Pondicherry, between May 2023 and April 2024. The SAME tool was developed through a literature review, resulting in ten items assessing various aspects of medication self-administration. Content validity was assessed by four experts using a 4-point Likert scale. The Content Validity Index (CVI) was calculated, and the tool was tested on 100 subjects selected by convenience sampling. Internal consistency was measured using Cronbach's alpha, and validity was assessed through Pearson Product Moment Correlation analysis.

Results: The SAME tool included ten items covering confidence in medication administration, understanding instructions, and psychological impact of medication regimens. Validation: All items achieved a CVI of ≥0.88 indicating strong content validity. Cronbach's alpha was 0.815, reflecting good internal consistency. Pearson correlation coefficients for individual items ranged from 0.492 to 0.740, all statistically significant (p<0.05), confirming the tool's validity. The estimated prevalence of self-administration errors among participants was 17%, highlighting significant challenges in managing complex medication regimens.

Conclusions: The SAME tool is a valid, reliable instrument for assessing self-administration medication errors in a clinical setting. It can identify patients at risk of medication errors, enabling targeted interventions to improve patient safety and outcomes.

Metrics

Metrics Loading ...

References

Bates DW, Cullen DJ, Laird N, Petersen LA, Small SD, Servi D, et al. Incidence of adverse drug events and potential adverse drug events: implications for prevention. JAMA. 1995;274(1):29-34. DOI: https://doi.org/10.1001/jama.1995.03530010043033

Lisby M, Nielsen LP, Brock B, Mainz J. How to prevent medication errors? Considerations based on a risk management model. Ther Adv Drug Saf. 2012;3(2):141-54.

Kohn LT, Corrigan JM, Donaldson MS, editors. To err is human: building a safer health system. Washington (DC): National Academies Press (US); 2000.

Armitage G, Newell R, Wright J. Patient safety: what is the role of health visitors? J Adv Nurs. 2010;66(7):1489-98.

Hobart JC, Cano SJ, Warner TT, Thompson AJ. What sample sizes for reliability and validity studies in neurology? J Neurol. 2012;259(12):2681-94. DOI: https://doi.org/10.1007/s00415-012-6570-y

Artino AR, La Rochelle JS, Dezee KJ, Gehlbach H. Developing questionnaires for educational research: AMEE guide no. 87. Med Teach. 2014;36(6):463-74. DOI: https://doi.org/10.3109/0142159X.2014.889814

Polit DF, Beck CT, Owen SV. Is the CVI an acceptable indicator of content validity? Appraisal and recommendations. Res Nurs Health. 2007;30(4):459-67. DOI: https://doi.org/10.1002/nur.20199

Tavakol M, Dennick R. Making sense of Cronbach's alpha. Int J Med Educ. 2011;2:53-5. DOI: https://doi.org/10.5116/ijme.4dfb.8dfd

Streiner DL, Norman GR, Cairney J. Health Measurement Scales: A Practical Guide to Their Development and Use. 5th ed. Oxford University Press; 2015.

Horne R, Weinman J, Barber N, Elliott R, Morgan M, Cribb A, Kellar I. Concordance, adherence and compliance in medicine taking. London: NCCSDO. 2005;2005(40):6.

Maher RL, Hanlon J, Hajjar ER. Clinical consequences of polypharmacy in elderly. Expert Opin Drug Saf. 2014;13(1):57-65. DOI: https://doi.org/10.1517/14740338.2013.827660

Modig S, Kristensson J, Kristensson Ekwall A, Rahm Hallberg I, Midlöv P. Frail elderly patients in primary care--their medication knowledge and beliefs about prescribed medicines. Eur J Clin Pharmacol. 2009;65(2):151-5. DOI: https://doi.org/10.1007/s00228-008-0581-8

Gellad WF, Grenard JL, Marcum ZA. A systematic review of barriers to medication adherence in the elderly: looking beyond cost and regimen complexity. Am J Geriatr Pharmacother. 2011;9(1):11-23. DOI: https://doi.org/10.1016/j.amjopharm.2011.02.004

Marengoni A, Angleman S, Melis R, Mangialasche F, Karp A, Garmen A, et al. Aging with multimorbidity: a systematic review of the literature. Ageing Res Rev. 2011;10(4):430-9. DOI: https://doi.org/10.1016/j.arr.2011.03.003

Streiner DL, Norman GR, Cairney J. Health measurement scales: a practical guide to their development and use. 5th ed. Oxford University Press; 2015. DOI: https://doi.org/10.1093/med/9780199685219.001.0001

Downloads

Published

2025-03-29

How to Cite

Natarajan, A., Kumar, B., & Rajendran, P. (2025). Development and validation of self-administration medication error tool. International Journal of Research in Medical Sciences, 13(4), 1555–1562. https://doi.org/10.18203/2320-6012.ijrms20250981

Issue

Section

Original Research Articles