| Time elapsed since the last medical visit: analysis of a statistical model applied to the case of Spanish women. | |
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MedLine Citation:
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PMID: 21537702 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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OBJECTIVE: This study aims at two objectives: I) to develop a model capable of predicting the statistical distribution of the variable "time elapsed since the last medical visit"; II) to empirically test the theoretical model. METHODS: To develop the theoretical model, the author will use a demonstration that is statistical in nature. In order to test the theoretical distribution, the 2006 Encuesta Nacional de España data regarding females will be used. RESULTS: The results found show that the distribution of the time elapsed since the last medical visit follows a Poisson distribution. This conclusion was empirically validated, and additionally, a few determinants were found that increase the likelihood that Spanish women will resort to a doctor, namely, inactivity, residence in small places and being older. CONCLUSION: The study concluded that the time elapsed since the last medical visit follows a Poisson distribution; thus, going to a medical appointment is still seen as a rare phenomenon for Spanish women. By comparing this data with our results, we found that a higher ratio of physicians to population, a higher time availability for each woman (especially in a labor inactivity setting) and strong personal relationships can lead to a higher medical visit rate, thus reducing the time elapsed since the last visit. |
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Authors:
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Paulo Reis Mourão |
Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Revista da Associação Médica Brasileira (1992) Volume: 57 ISSN: 0104-4230 ISO Abbreviation: Rev Assoc Med Bras Publication Date: 2011 Mar-Apr |
Date Detail:
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Created Date: 2011-05-03 Completed Date: 2012-01-26 Revised Date: 2012-04-11 |
Medline Journal Info:
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Nlm Unique ID: 9308586 Medline TA: Rev Assoc Med Bras Country: Brazil |
Other Details:
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Languages: eng; por Pagination: 164-70 Citation Subset: IM |
Affiliation:
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Department of Economics, University of Minho, and Investigation Nucleus in Economic Politics, Portugal. paulom@eeg.uminho.pt |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adolescent Adult Age Factors Aged Appointments and Schedules Educational Status Female Humans Middle Aged Office Visits / statistics & numerical data* Poisson Distribution Referral and Consultation / statistics & numerical data* Socioeconomic Factors Spain Time Factors |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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