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Revista de la OFIL

versão On-line ISSN 1699-714Xversão impressa ISSN 1131-9429

Resumo

CALVO, EG; ALVAREZ-RISCO, A; DEL-AGUILA-ARCENTALES, S  e  DIAZ-RISCO, S. Factors of the development of pharmaceutical care in community pharmacies in Buenos Aires, Argentina, through the model of partial least squares structural equation modeling (PLS-SEM). Rev. OFIL·ILAPHAR [online]. 2020, vol.30, n.3, pp.227-231.  Epub 05-Abr-2021. ISSN 1699-714X.  https://dx.doi.org/10.4321/s1699-714x2020000300013.

SUMMARY

Aim:

To describe the factors for the development of pharmaceutical care (PCare) in community pharmacies in Buenos Aires, Argentina, through the model of structural equations through partial least squares, using information from community pharmacists.

Methods:

Data was collected from pharmacists of Buenos Aires city between March and April 2018 using an anonymous questionnaire. It was surveyed 350 pharmacists. Data was analyzed trough structural equation modeling using the partial least squares method (PLS-SEM) with SmartPLS v3.2 software. Three dimensions included in the questionnaire were evaluated by exploratory factor analysis.

Results:

Pharmacists expressed in questionnaires that the money (payment for the service), space in the community pharmacy, PCare training and communication training were the main factors reported. According to structural model, the training in PCare have a positive influence of 0.329 to the skills of pharmacists. The training in PCare have a positive influence of 0.333 to the sources of the community pharmacies. The skills in PCare have a positive influence of 0.229 to PCare practice in the community pharmacies. The sources of the community pharmacies have a positive influence of 0.117 to PCare practice in the community pharmacies.

Conclusion:

In the community pharmacies Buenos Aires, Argentina exists different factors of the development of PCare that need different efforts and strategies to be overcome.

Palavras-chave : Pharmaceutical care; community pharmacy; Argentina; structural equation modeling; PLS-SEM.

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