The Structure of Satisfaction with Pharmacy Services
Bibliographic Data
| ID | 9103958 |
|---|---|
| Authors | Jeffrey Johnson (0000-0001-8290-2857, University of Alberta, corresponding author), Jeffrey A Johnson (0000-0002-3315-7210), Stephen Joel Coons (0000-0001-7977-5156, University of Arizona), Ron D Hays (0000-0001-6697-907X, RAND Corporation) |
| Year | 1998 |
| Volume | 36 |
| Issue | 2 |
| Pages | 244-250 |
| Publication date | 1998-02-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Medical Care (JOURNAL) |
| Journal identifiers | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Publisher | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/00005650-199802000-00013 |
| PMID | 9475478 |
| OpenAlex | W2050476600 |
| Language | EN |
| Citations received | 3 |
| References cited | 9 |
OBJECTIVES: The objectives of this investigation were to evaluate the dimensional structure of satisfaction with pharmacy services, to determine whether satisfaction is best viewed as a unidimensional or multidimensional construct, and to determine the degree of correspondence between a general satisfaction scale and satisfaction with specific aspects of pharmacy services. METHODS: Data was collected via telephone interviews of 509 patrons of traditional retail pharmacies and analyzed using structural equation modeling techniques. RESULTS: The hypothesized, multidimensional measurement model fit the observed data reasonably well. However, correlations between the latent dimensions of satisfaction with pharmacy services indicated that some dimensions were empirically indistinguishable. CONCLUSIONS: Considering item content and theoretical considerations, modifications to the structure of previously used measures of satisfaction with pharmacy services were suggested. The data also support the hypothesis of a hierarchical model in which general satisfaction could be simultaneously represented as both an overall domain and as a set of distinct dimensions tapping unique aspects of satisfaction with pharmacy services. Depending on the purpose of the measurement, either or both levels of analysis may be useful
Construct (python library) · Family medicine · Machine learning · Patient satisfaction · Scale (ratio) · Set (abstract data type) · Structural equation modeling · Computer Science · Customer Service Quality and Loyalty · Medicine · Nursing · Patient Satisfaction in Healthcare · Pharmaceutical Practices and Patient Outcomes · Pharmacy · Psychology
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| Citations per year | 0.13 |
|---|---|
| Citation span | 2002 - 2020 (19) |
| Highly cited | No |