Assessing the relationship between pharmacists’ job satisfaction and over-the-counter counselling at community pharmacies
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Background Community pharmacies have an increasing role in self-medication and community health is dependent on the quality of counselling services provided to patients. Some studies show that pharmacists’ job satisfaction affects their work quality; other studies found that higher involvement in clinical services increases pharmacists’ job satisfaction. Objective To test the relationship between job satisfaction and over-the-counter counselling practice at community pharmacies. Setting Community pharmacies in Lithuania. Method A convenience sample (n = 305) of community pharmacists participated in the cross-sectional survey where they expressed satisfaction with job and reported on their over-the-counter counselling behaviour on self-report scales. The Partial Least Squares Structural Equation Modelling approach was employed for data analysis. Main outcome measure The strength of the relationship between job satisfaction and over-the-counter counselling service. Results A bidirectional relationship between job satisfaction and over-the-counter counselling service was found. In addition, job satisfaction and over-the-counter counselling quality depended on pharmacists’ age. Conclusion Organizations were recommended to create a counselling friendly environment that would increase pharmacists’ job satisfaction and, in return, counselling quality. Also, additional motivation of the retired pharmacists, as well as development of counselling skills of the younger pharmacy workforce, were seen as a means to improve both organizational climate and counselling quality over the counter.
KeywordsCounselling Job satisfaction Lithuania Over-the-counter medicines Self-medication
The authors would like to express thanks to the respondents for kind participation in this study.
No specific funding was received for the study.
Conflicts of interest
No conflicts of interest.
- 1.World Health Organization. The role of the pharmacist in self-care and self-medication. Report of the 4th WHO consultative group on the role of the pharmacist. The Hague: WHO; 1998.Google Scholar
- 2.World Health Organization. Joint FIP/WHO guidelines on good pharmacy practice: standards for quality of pharmacy services. Geneva: WHO; 2011. Report No. 961.Google Scholar
- 4.Council of the International Pharmaceutical Federation. Joint statement by The International Pharmaceutical Federation and The World Self-Medication Industry. Responsible self-medication. The Hague; 1998 (cited 2015 Aug 30). https://www.fip.org/www/uploads/database_file.php?id=241&table_i.
- 10.Order of the Minister of Health of the Republic of Lithuania 2007-06-15 No. V-494. Regulation on good pharmacy practice. Valstybes zinios. 2007;68:2690.Google Scholar
- 11.International Pharmaceutical Federation. Statement of principle self-care including self-medication—the professional role of the pharmacist. The Hague: FIP; 1996 (cited 2015 April 27). http://www.fip.org/www/uploads/database_file.php?id=204&table_id=.
- 12.Smith P, Kendall L, Hulin C. The measurement of satisfaction in work and retirement: a strategy for the study of attitudes. Chicago: Rand-McNally; 1969.Google Scholar
- 15.Hardigan P, Carvajal M. Job satisfaction among practicing pharmacists: a Rasch analysis. Internet J Allied Health Sci Pract. 2007;5:1–9.Google Scholar
- 19.Kebodeaux C, Grise W, Hudspeth B, Divine H. Chain community pharmacists’ willingness, attitudes, and barriers in providing self-care medication and supplement recommendations. SelfCare. 2012;3(2):21–32.Google Scholar
- 20.Cox E, Fitzpatrick V. Pharmacists’ job satisfaction and perceived utilization of skills. Am J Health Syst Pharm. 1996;53:281–4.Google Scholar
- 24.Hair J, Hult G, Ringle C, Sarstedt M. A primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks: SAGE Publications; 2014.Google Scholar
- 26.Urbach N, Ahleman F. Structural equation modeling in information systems research using partial least squares. J Inf Technol Theory Appl. 2010;11(2):2.Google Scholar
- 28.Kock N, Lynn G. Lateral collinearity and misleading results in variance-based SEM: an illustration and recommendations. J Assoc Inf Syst. 2012;13(7):546–80.Google Scholar
- 29.Kock N. WarpPLS 5.0 user manual. Laredo: ScriptWarp Systems; 2015.Google Scholar
- 30.Cohen J. Statistical power analysis for the behavioral sciences. 2nd ed. Hillsdale: Lawrence Erlbaum Associates; 1988.Google Scholar
- 34.Quinones-Boex A, Turgeon A. A profile of retirement age pharmacists in Illinois. Innov Pharm. 2015;6(1):195.Google Scholar