1977
DOI: 10.1016/s0003-0465(16)34452-4
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Factors Affecting Pharmacy Patronage Motives―A Literature Review

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Cited by 19 publications
(10 citation statements)
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“…11,[20][21][22][23][24][25] In contrast, older adults have long been considered to be more loyal to one pharmacy. 14,25,26 Three factors may have contributed to the higher unadjusted MPU rate seen among older adults in this study. First, individuals with high utilization of health care services (regardless of age) have more opportunities to use multiple pharmacies due to the use of multiple prescription drugs or providers.…”
Section: Discussionmentioning
confidence: 99%
“…11,[20][21][22][23][24][25] In contrast, older adults have long been considered to be more loyal to one pharmacy. 14,25,26 Three factors may have contributed to the higher unadjusted MPU rate seen among older adults in this study. First, individuals with high utilization of health care services (regardless of age) have more opportunities to use multiple pharmacies due to the use of multiple prescription drugs or providers.…”
Section: Discussionmentioning
confidence: 99%
“…A notable recommendation drawn from a major study (Gagnon, 1977) regarding patronage motives for pharmaceutical services is:…”
Section: Survey Of Literaturementioning
confidence: 99%
“…A mechanism for determining the patronage motives of consumers in a particular geographic locality is most needed re- A summary review of the findings of earlier studies (Gagnon, 1977; Gagnon and Carroll, 1982) reflected a number of similarities, but none of the studies attempted to duplicate an earlier study. Some of the major findings selected from previous research (Gagnon, 1977) were:…”
Section: Survey Of Literaturementioning
confidence: 99%
“…These two attributes were included because studies indicate that each is highly important to a different consumer segment in the community pharmacy market. 9 Conjoint analysis was used to determine pharmacists' perceptions of the importance of these attributes in the consumers' choice of a pharmacy. Conjoint analysis is a type of monotonic, iterative analysis of variance that can be used to estimate the relative value that respondents attach to each of the component attributes of a multiattribute product or service.…”
Section: Perceptions Of Consumer Demandmentioning
confidence: 99%