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Empirical Study on Influencing Factors for Evaluation of Medical Service and Intention to Revisit of Patient Perspective in Community Pharmacies / 医薬品情報学
Japanese Journal of Drug Informatics ; : 251-260, 2017.
Article in English | WPRIM | ID: wpr-378712
ABSTRACT
<b>

Objective:

</b>As a “family pharmacy and pharmacist,” high-quality medical service is demanded.  Many patient satisfaction investigations are performed to evaluate community pharmacies, but it has been impossible until now to do so using an improvement index of the medical quality.  Therefore, I investigated the influence and evaluation structure of two evaluation concepts regarding quality of medical service and patient satisfaction and intention to use again, which becomes the important key as a “familypharmacy.<br><b>

Methods:

</b>I used anonymous patient survey data gathered for the purpose of duties improvement in July 2009.  I subjected the responses to factor and covariance structure analyses.<br><b>

Results:

</b>Dates for four dimensions were obtained for factor analysis.  As a whole, covariance structure analysis showed that, in terms of privacy and only for service quality, entertainment primarily influenced satisfaction.  The ingestion instruction had a big effect on both sides.  General satisfaction was also substantially influenced by service quality.  The difference in influence degree was confirmed at each parameter.<br><b>

Conclusion:

</b>It was found that not only satisfaction but also quality of service were equally demanded in community pharmacies.  It is necessary to increase these because most are influenced by ingestion instruction as a factor in service quality.  However, future investigation is necessary to clarify the detailed ingestion instruction contents.

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Index: WPRIM (Western Pacific) Type of study: Evaluation studies Language: English Journal: Japanese Journal of Drug Informatics Year: 2017 Type: Article

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Index: WPRIM (Western Pacific) Type of study: Evaluation studies Language: English Journal: Japanese Journal of Drug Informatics Year: 2017 Type: Article