Development and validation of an Ambulatory Care Patient Satisfaction Questionnaire to assess pharmacy services in Malaysia
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Background Assessing patient satisfaction regarding a pharmacy ambulatory care service is important as patient satisfaction is a determinant of the viability and sustainability of the service provided. Objective To develop and validate the Ambulatory Care Patient Satisfaction Questionnaire in Malaysia. Setting A public hospital in Malaysia with two outpatient pharmacies. The main outpatient pharmacy has an average waiting time of 1–2 h; whilst PharmCARE (which prepares repeat prescriptions in advance) has an average waiting time of 5–15 min. Method Our instrument was developed based on literature review, a theoretical framework and an expert panel. The initial version consisted of 20 Likert-type items (where a higher score indicates higher satisfaction) was administered to patients/carers who were ≥ 21 years, from November 2015 to June 2016 at baseline and 2 weeks later. Main outcome measure The psychometric properties of the instrument. Results A total of 200/220 participants agreed to participate (response rate = 90.9%): main outpatient pharmacy = 114, PharmCARE = 86. Flesch reading ease was 51.9. The final version consists of 17 items with five domains measuring information (4 items), accessibility (4 items), relationship (4 items), outcomes (2 items) and continuity of care (3 items). Participants who collected their medications from PharmCARE [78.0% (72.8–81.3)] were significantly more satisfied than participants from the main outpatient pharmacy [72.0% (68.0–76.0), p < 0.001]. The overall Cronbach’s alpha value was 0.839. Kappa values ranged from 0.681 to 0.914. Conclusion Our instrument was found to be a valid and reliable instrument to assess satisfaction of patients towards an ambulatory care pharmacy service in Malaysia.
KeywordsAmbulatory care pharmacy service Malaysia Patient satisfaction Questionnaire development Validation
We would like to thank Professor Karuthan Chinna (statistician), Taylors University, Malaysia for assisting us in our statistics, and to Nadia Nurdiana Mohd Faizal and Yap Han Yee for assisting us in data collection.
Funding for this study was obtained from the University Malaya Research Grant RP015-13HTM and the University of Malaya Postgraduate Studies Fund PV018-2012A.
Conflicts of interest
- 1.Gourley GA, Duncan DV. Patient satisfaction and quality of life: humanistic outcomes. Am J Manag C. 1998;4:746–55.Google Scholar
- 5.Singhal PK, Gupchup GV, Raisch DW, Schommer JC, Holdsworth MT. Impact of pharmacists’ directive guidance behaviours on patient satisfaction. J Am Pharm Assoc. 2002;42:407–12.Google Scholar
- 7.Gourley GK, Gourley DR, Rigolosi ELM, Reed P, Solomon DK, Washington E. Development and validation of the pharmaceutical care satisfaction questionnaire. Am J Manag C. 2001;7:461–6.Google Scholar
- 9.Larson LN, Rovers JP, MacKeigan LD. Patient satisfaction with pharmaceutical care: update of a validated instrument. J Am Pharm Assoc. 2002;42:44–50.Google Scholar
- 19.Thirusanku J, Yunus MM. The many faces of Malaysian English. ISRN Education. 2012.Google Scholar
- 20.Anonymous. The Flesch reading ease readibility formula. 2015 [cited 2015 6 May]. http://www.readabilityformulas.com/flesch-reading-ease-readability-formula.php.
- 21.University Malaya Medical Centre. Waiting time at the outpatient pharmacy 2016.Google Scholar
- 22.University Malaya Medical Centre. Waiting time at PharmCare 2016.Google Scholar
- 23.Cattel. The scientific use of factor analysis. New York: Plenum; 1978. pp. 273–320.Google Scholar
- 24.Hoyle RH. Confirmatory factor analysis. Handbook of applied multivariate statistics and mathematical modeling. Cambridge: Academic Press; 2000. p. 465–97.Google Scholar
- 26.Cronbach LJ, Deken JE, Webb N. Research on classrooms and schools: formulation of questions, Design and analysis. Stanford Univ., Calif. Stanford Evaluation Consortium. Russell Sage Foundation, New York. 1976.Google Scholar
- 28.Kincaid JP, Fishburne J, Robert P, Rogers RL, Chissom BS. Derivation of New Readability Formulas (Automated Readability Index, Fog Count and Flesch Reading Ease Formula) for Navy Enlisted Personnel. 1975 [cited 2017 May 23]. www.dtic.mil/dtic/tr/fulltext/u2/a006655.pdf.