Skip to main content
Log in

Ascertaining consumer perspectives of medication information sources using a modified repertory grid technique

  • Original Paper
  • Published:
Pharmacy World & Science Aims and scope Submit manuscript

Abstract

Objective

To establish the range of medicine information sources used by consumers and their perception of the reliability of these, using the repertory grid technique.

Method

Consumers visiting three community pharmacies in Brisbane, Australia, were interviewed using the repertory grid technique. During the interview, consumers were asked to name up to three medicine information sources that they used for a supermarket medicine, an over-the-counter medicine and a prescription medicine. They were then presented with their named information sources in groups of three and asked to discriminate between these in terms of their perceived reliability of the information source. The descriptors used by the consumer to discriminate between the information sources are known as constructs and these were recorded. The consumer was then asked to rate each of their information sources against each generated construct.

Main outcome measure

The range of information sources generated was determined along with the perceived reliability of these from the calculated median score of each information source when rated on each generated construct.

Results

A total of 110 consumers were interviewed and identified 648 information sources that they would use. The most frequent information sources cited by the 110 consumers were their doctor (83%), written information (90%) and the pharmacist (78%). There were a total of 299 constructs generated by 88 of the consumers and these were themed into 16 discrete categories. The most common generated constructs themes were “good knowledge” (15%), “training” (14%) and “trustworthiness” (13%). The consumer perception of their information sources were that the doctor and pharmacist have good knowledge (median score 1) and are trained (median score 1) and were perceived to be trustworthy (median score 3 and 2, respectively).

Conclusion

The repertory grid technique was successful in identifying the information sources consumers accessed to find out about their medicines and in identifying the perception of these sources in terms of their reliability. The repertory grid technique offers a novel method for future research into consumer preferences for different treatment options.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. From compliance to concordance. Acheiving shared goals in medicine-taking. London: Royal Pharmaceutical Society of Great Britain; 1997

  2. Horne R. Nonadherence to medication: causes and impliation for care. In: Gard P, editor. A behavioural approach to pharmacy practice. Oxford: Blackwell Science; 2000. pp. 111–30. ISBN 0632051388

  3. Kravitz R, Melnikow J. Engaging patients in medical decision making. BMJ 2001;323:584–5.

    Article  PubMed  CAS  Google Scholar 

  4. Charles C, Gafni A, Whelan T. Decision-making in the physician–patient encounter: revisiting the shared treatment decision-making model. Soc Sci Med 1999;49:651–61

    Article  PubMed  CAS  Google Scholar 

  5. Montgomery A, Fahey T. How do patients treatment preference compare with those of clinicians? Qual Health Care 2001;10(Suppl 1):i39–43.

    PubMed  Google Scholar 

  6. Gerrity MS, DeVellis RF, Earp JA. Physicians’ reactions to uncertainty in patient care. A new measure and new insights. Med Care 1990;28(8):724–36.

    Article  PubMed  CAS  Google Scholar 

  7. Cotten S, Gupta S. Characteristics of online and offline helath information seekers and factors that discriminate between them. Soc Sci Med 2004;59:1795–806.

    Article  PubMed  Google Scholar 

  8. Hardey M. Doctor in the house: the Internet as a source of lay health knowledge and the challenge to expertise. Sociol Health Illn 1999;21(6):820–35.

    Article  Google Scholar 

  9. Bourke L. Australian rural consumers’ perceptions of health issues. Aust J Rural Health 2001;2001(9):1–6.

    Article  Google Scholar 

  10. Newby DA, Hill SR, Barker BJ, Drew AK, Henry DA. Drug information for consumers: should it be disease- or medication-specific? Results of a community survey. Aust N Z J Public Health 2001;25(6):564–70.

    PubMed  CAS  Google Scholar 

  11. Pennbridge J, Moya R, Rodrigues L. Questionnaire survey of California consumers’ use and rating of sources of health care information including the Internet. West J Med 1999;171(5–6):302–5.

    PubMed  CAS  Google Scholar 

  12. Sleath B, Wurst K, Lowery T. Drug information sources and antidepressant adherence. Community Ment Health J 2003;39(4):359–68.

    Article  PubMed  Google Scholar 

  13. Stergachis A, Maine LL, Brown L. The 2001 national pharmacy consumer survey. J Am Pharm Assoc 2002;42(4):568–76.

    Article  Google Scholar 

  14. Trewin V, Veitch GBA. Patient source of drug information and attitudes to their provision: a corticosteriod model. Pharm World Sci 2003;25(5):191–6.

    Article  PubMed  Google Scholar 

  15. Gray NJ, Klein JD, Noyce PR, Sesselberg TS, Cantrill JA. Health information-seeking behaviour in adolescence: the place of the internet. Soc Sci Med 2005;60(7):1467–78.

    Article  PubMed  Google Scholar 

  16. Brodie M, Foehr U, Rideout V, Baer N, Miller C, Fluornoy R et al. Communicating health information through the entertainment media. Health Aff 2001;20(1):192–9.

    Article  CAS  Google Scholar 

  17. Hotham N. Information on drugs and environmental influences in pregnancy in popular magazines: a critical review. Med J Aust 1995;162:417–20.

    PubMed  CAS  Google Scholar 

  18. Bernhardt JM, Lariscy RAW, Parrott RL, Silk KJ, Felter EM. Perceived barriers to Internet-based health communication on human genetics. J Health Commun 2002;7(4):325–40.

    Article  PubMed  Google Scholar 

  19. Makoul G, Arntson P, Schofield T. Health promotion in primary care: physician–patient communication and decision making about prescription medications. Soc Sci Med 1995;41(9):1241–54.

    Article  PubMed  CAS  Google Scholar 

  20. Raynor D, Knapp P. Do patients see, read, and retain the new mandatory medicines information leaflets? Pharm J 2000;264(7083):268–70.

    Google Scholar 

  21. Raynor DJK, Savage I, Knapp P, Henley J. We are the experts: people with asthma talk about their medicine information needs. Patient Educ Couns 2004;53(2):167–74.

    Article  PubMed  Google Scholar 

  22. Lloyd A. The extenet of patients understanding of the risk of treatments. Qual Health Care 2001;10(Suppl 1):i14-8.

    PubMed  Google Scholar 

  23. Frewer L, Salter B, Lambert N. Understanding patients preferences for treatment the need for innovative methodologies. Qual Health Care 2001;10(Suppl 1):i50–4.

    PubMed  Google Scholar 

  24. Kelly G. The psychology of personal constructs. New York: Ruoteledge; 1991 (Previously Norton; 1955). ISBN 0415037972

  25. Frewer L, Howard C, Shepherd R. Public concerns in the United Kingdom about general and specific applications of genetic engineering: risk, benefit, and ethics. Sci Technol Human Values 1997;22(1):98–124.

    PubMed  Google Scholar 

  26. Frewer L, Howard C, Hedderley D, Shepherd R. What determines trust in information about food-related risks? Risk Anal 1996;16(4):473–86

    Article  PubMed  CAS  Google Scholar 

  27. Lewith G, Chan J. An exploratory qualitative study to investigate how patients evaluate complementary and conventional medicine. Complement Ther Med 2002;10:69–77

    Article  PubMed  CAS  Google Scholar 

  28. Rowe G, Lambert N, Bowling A, Ebrahim S, Wakeling I, Thomson R. Assessing patients’ preferences for treatments for angina using a modified repertory grid method. Soc Sci Med 2005;60(11):2585–95.

    Article  PubMed  Google Scholar 

  29. Fransella F, Bell R, Bannister D. A manual for repertory grid technique. 2nd ed. Chichester: John Wiley & Sons Ltd; 2004. ISBN 0470854901

  30. Jankowicz D. The easy guide to repertory grids. Chichester: John Wiley & Sons; 2004. ISBN 0470854049

  31. Fox S, Rainie L, Horrigan J, Lenhart A, Spooner T, Burke M, et al. The online health care revolution: how the Web helps Americans take better care of themselves [Internet]. The Pew Internet and American Life Project; 2000. In; 2000. Available at http://www.pewinternet.org/reports/toc.asp?Report=26. Accessed 1 Jul 2003

  32. Bunn MD. Consumer perceptions of medical information sources: an application of multidimensional scaling. Health Mark Q 1993;10(3–4):83–104

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgements

We are grateful to the owners of the three community pharmacists who allowed the interviewer access to their customers.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to W. Neil Cottrell.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Tio, J., LaCaze, A. & Cottrell, W.N. Ascertaining consumer perspectives of medication information sources using a modified repertory grid technique. Pharm World Sci 29, 73–80 (2007). https://doi.org/10.1007/s11096-006-9076-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11096-006-9076-9

Keywords

Navigation