Examining community pharmacists' intention to provide pharmacist-driven vaccination services: A structural equation modelling


Gulpinar G., Uzun M. B.

VACCINE, cilt.40, sa.1, ss.67-75, 2022 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 40 Sayı: 1
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1016/j.vaccine.2021.11.044
  • Dergi Adı: VACCINE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Agricultural & Environmental Science Database, BIOSIS, Biotechnology Research Abstracts, CAB Abstracts, EMBASE, Environment Index, MEDLINE, Public Affairs Index, Veterinary Science Database
  • Sayfa Sayıları: ss.67-75
  • Anahtar Kelimeler: Vaccination, Community pharmacy, Structural equation modelling, Theory of planned behavior, Pharmacy practice, Pharmaceutical care, ROUTINE IMMUNIZATION, PHARMACEUTICAL CARE, BARRIERS, BEHAVIOR
  • Gazi Üniversitesi Adresli: Hayır

Özet

Background: The evidence of pharmacists' current involvement in vaccination services in low-and middle-income countries (LMICs) is uncertain. This study would be a first step to develop vaccination ser-vices by investigating community pharmacists' intention to be involved in PDV services not just during COVID-19 pandemic but also during standard service provision in Turkey which can be taken as an exam-ple across LMICs. Objective: Considering the efforts to empower community pharmacists in service provision, the goal of the present study was to develop a structural equation model to explain the "Pharmacist-Driven Vaccination Service Intention Model (PDV-SIM)" by using the theory of planned behavior (TPB). Methods: Based on the constructs of TPB, a measurement tool was developed. Sub-factors of PDV service intention was determined by conducting exploratory factor analysis (EFA). In the second step, confirma-tory factor analysis (CFA) was conducted to prove the theoretical structure of the tool. Finally, a model explaining the relationship between observed variables, latent constructs from TPB was developed by SEM analysis. Results: In the proposed PDV-SIM, patient related attitude toward PDV services, attitude toward negative consequences of PDV services, and subjective norm about PDV services had an impact on the behavioral intention of community pharmacists. Nevertheless, professional development attitude toward PDV ser-vices and perceived behavioral control were not evaluated as determinants of the behavioral intention. Conclusion: Results of this study revealed that TPB is appropriate for modelling PDV service intention of community pharmacists. This model can be utilized as a guide to potential pharmacy regulatory bodies and policy makers in their efforts to enable community pharmacists as vaccinators across LMICs. (c) 2021 Elsevier Ltd. All rights reserved.