The first phase of our study was exploratory, followed by descriptive, comparative, and analytical stages. The research also had a cross-sectional design and was conducted using the structural equation modeling technique during 2019 - 2020.
A regular search was conducted in databases such as PubMed and Google Scholar, websites of other reputable organizations (WHO), and pharmacy accreditation organizations using various keywords, including accreditation program, pharmacy, quality, safety, model, and their Persian equivalents. As a result of the literature search and based on the defined inclusion and exclusion criteria, 1,217 sources and articles related to the research subject were identified. The inclusion criteria were English and Persian sources focused on the issue of pharmacy accreditation, presenting the model of an accreditation program in pharmacies, and publication during 2000-2020. We also attempted to select models from all over the world and the five continents.
Initially, the titles of the identified articles were reviewed based on the objective of the research, and 1,018 articles that were irrelevant or had duplicate titles were excluded from the study. At the next stage, the abstracts and full text of the 199 remaining articles were reviewed, and 189 studies were excluded due to the lack of pharmacy accreditation models. Finally, the identified sources were refined, and 10 studies that were relevant to the research subject were selected for further review. Data were extracted on the dimensions and items of the models, and a conceptual model was also obtained through the comparative assessment of these dimensions and items.
After the formulation of the conceptual model, the question arises as to whether the extracted conceptual model corresponds to the situation in Iran. Therefore, the initial questionnaire was designed and validated considering the order of the studies. Face validity was confirmed by surveying a panel of experts. In addition, the content validity index (CVI) and content validity ratio (CVR) were assessed by 15 experts. The Lawshe table was also applied to determine the minimum value of the CVR, which indicated that the expressions with the CVR numerical value of higher than 49% were significant (
13). To review the CVI, the experts were asked to determine the relevance of each of the statements in the questionnaire based on the CVI of Waltz and Bausell. At this stage, the items with the CVI score of above 79% were accepted (
14), and reviewed or deleted otherwise.
The questionnaire, which was approved in terms of content and form, was also reviewed and approved in terms of reliability. In order to evaluate the reliability, a questionnaire was sent to 30 healthcare professionals and experts in person. After completing the questionnaires, the common and valid Cronbach's alpha coefficient test was used, and the Cronbach's alpha was estimated at 0.853, which confirmed the internal consistency of the questionnaire. Therefore, the questionnaire had acceptable reliability as well.
Data were collected using a researcher-made questionnaire, which was designed in accordance with the objectives of the research. The study was conducted nationally by selecting five different poles in Tehran, Kermanshah, Gilan, Razavi Khorasan, and Fars provinces. Following that, 60 questionnaires were randomly distributed in each province.
To determine the factors and the associated variables, an exploratory factor analysis was performed in SPSS. Before the exploratory factor analysis, KMO and Bartlett's tests were used to assess the hypothesis of community normality, evaluate the possibility of the exploratory factor analysis, and determine the adequacy of the sample size. In addition, the VARIMAX method was employed to rotate the factors. After the exploratory factor analysis, the factors and variables with a higher factor load of 0.5 were extracted. After the modification of the initial model, the confirmatory factor analysis was initiated.
The AMOS software was used to calculate the chi-square fit and goodness fit indices, relative Chi-square, and the mean square error index of the estimation error of the factors. After testing the variables and factors, the confirmatory factor analysis was performed, along with construct reliability and validity assessments. As a result, the final model of the pharmacy accreditation program for Iran was developed.
3.1. Evaluation of Construct Reliability and Validity
To evaluate convergence and discriminant validity, the following values were calculated. If the conditions in
Table 1 were met, construct validity would be confirmed.
| Conditions for Establishing Reliability and Construct Validity (11) |
|---|
| Reliability | CR > 0.7 |
| Convergence validity | Factor loads must be meaningful |
| Standard Factor loads > 0.5 |
| CR > AVE |
| AVE > 0.5 |
| MSV < AVE |
| Discriminant validity | ASV < AVE |
Abbreviations: AVE, average variance extracted; MSV, maximum shared squared variance; ASV, average shared squared variance.
According to the obtained results, CR was higher than 0.7, which confirmed reliability. In addition, CR was higher than AVE, and AVE was higher than 0.5, which confirmed the convergence validity of the factor. Finally, AVE was higher than MSV, and AVE was higher than ASV.
The sample population of the present study included the managers and experts of the Food and Drug Administration (FDA), accreditation experts, and pharmacists. Given the use of the structural equation modeling technique, a significantly larger sample size was required to achieve more stable estimates of the studied parameters and standard errors while maintaining the necessary power. Therefore, 300 experts were randomly selected as the final sample population.