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Assessment of consumer expectations,...

Kumar, Ritesh Navin.

Assessment of consumer expectations, experience and satisfaction with newly prescribed medications.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Assessment of consumer expectations, experience and satisfaction with newly prescribed medications.
作者:	Kumar, Ritesh Navin.
面頁冊數:	281 p.
附註:	Chair: Duane M. Kirking.
附註:	Source: Dissertation Abstracts International, Volume: 65-10, Section: B, page: 5102.
Contained By:	Dissertation Abstracts International65-10B.
標題:	Health Sciences, Pharmacy.
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3150245
ISBN:	0496098829

Assessment of consumer expectations, experience and satisfaction with newly prescribed medications.
Kumar, Ritesh Navin.

Assessment of consumer expectations, experience and satisfaction with newly prescribed medications. - 281 p.

Chair: Duane M. Kirking.

Thesis (Ph.D.)--University of Michigan, 2004.

Data were analyzed using Pearson's correlation coefficients, factor analysis, reliability analysis, factorial ANOVA models, multiple linear regressions and structural equation modeling. The key finding was that the medication-related experience had a strong positive impact on satisfaction. Positive associations were also observed between satisfaction and intent to continue using the medication. Expectations on the other hand did not exhibit a strong impact on satisfaction. Disconfirmation between expectations and experience was also not significantly associated with satisfaction.

ISBN: 0496098829Subjects--Topical Terms:

226994
Health Sciences, Pharmacy.

Assessment of consumer expectations, experience and satisfaction with newly prescribed medications.
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245 1 0 $a Assessment of consumer expectations, experience and satisfaction with newly prescribed medications.
300 $a 281 p.
500 $a Chair: Duane M. Kirking.
500 $a Source: Dissertation Abstracts International, Volume: 65-10, Section: B, page: 5102.
502 $a Thesis (Ph.D.)--University of Michigan, 2004.
520 # $a Data were analyzed using Pearson's correlation coefficients, factor analysis, reliability analysis, factorial ANOVA models, multiple linear regressions and structural equation modeling. The key finding was that the medication-related experience had a strong positive impact on satisfaction. Positive associations were also observed between satisfaction and intent to continue using the medication. Expectations on the other hand did not exhibit a strong impact on satisfaction. Disconfirmation between expectations and experience was also not significantly associated with satisfaction.
520 # $a From a policy standpoint, the positive association between satisfaction and intent to continue using the medication is an important finding. It establishes the importance of the satisfaction construct. Pharmaceutical manufacturers could include satisfaction results obtained within clinical trial on medication labels and promotional materials. This would provide valuable information to consumers and health care providers regarding the medication, and therefore, serve as an important marketing and informational tool.
520 # $a Recruited consumers were requested to complete a baseline questionnaire to determine expectations regarding the medication before starting therapy. Consumers also completed a follow-up questionnaire a month later regarding their experience, satisfaction and intent to continue using the new medication. Consumers provided data through paper or web-based surveys.
520 # $a The aims of this study were to test: (1) the association between medication experience and consumer satisfaction with a new medication controlling for other influential factors, (2) the impact of the disconfirmation of consumer expectations and experience on satisfaction and (3) the relationship between consumer satisfaction and intent to continue the medication therapy. Oliver's theory of expectancy disconfirmation was used as the theoretical framework.
520 # $a This research used a longitudinal study design. Pharmacists at Michigan pharmacies recruited ambulatory care consumers meeting the study inclusion criteria, which included being at least 18 years of age and filling a prescription for a medication that the consumers had never used before.
520 # $a Variables such as general attitudes towards the medication, information-seeking behaviors, physician-patient relationships, symptom burden and medication adherence had a significant impact on the constructs of expectations, experience and satisfaction with a new medication. Oliver's theory of expectancy disconfirmation could be expanded using the above-mentioned variables.
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