2013
DOI: 10.1016/j.sleep.2013.06.005
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Attitudes and knowledge about obstructive sleep apnea among Latin American primary care physicians

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Cited by 62 publications
(37 citation statements)
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“…In a recent study conducted with PCPs in a few South American countries, the investigators assessed total OSA knowledge using the OSA Knowledge and Attitude (OSAKA) questionnaire and reported no differences among PCPs with varying years of practice 4. However, another study reported a negative correlation between years of practice and OSA knowledge using the OSAKA questionnaire 13.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…In a recent study conducted with PCPs in a few South American countries, the investigators assessed total OSA knowledge using the OSA Knowledge and Attitude (OSAKA) questionnaire and reported no differences among PCPs with varying years of practice 4. However, another study reported a negative correlation between years of practice and OSA knowledge using the OSAKA questionnaire 13.…”
Section: Discussionmentioning
confidence: 99%
“…The early detection of patients with sleep disorders largely depends on PCPs’ knowledge of sleep medicine. A limited number of studies have assessed PCPs’ knowledge of sleep and sleep disorders in different countries and have generally demonstrated that PCPs have poor knowledge 4-6. Most of those studies were conducted several years ago.…”
mentioning
confidence: 99%
“…There are medical morbidities, including new-onset cardiovascular disease and hypertension [ 8 ]. In Latin American countries, use of these treatments for OSA is limited, not only due to cost, but also to lack of physicians’ knowledge about OSA [ 9 ], which impedes diagnosis and treatment of the disease.…”
Section: Introductionmentioning
confidence: 99%
“…Studies referring to the primary care setting exploring these variables in the context of SDB management used data from questionnaires [13][14][15] which were basically computed as the percentage of correct answers or by means of a Likert scale or using some statistical technique, such as principal component analysis, for finding patterns in large batches of data. [16] However, rather than a variable-centred approach, the use of a person-centred statistical method like Latent Class Analysis (LCA) could offer an advantage for identifying latent class membership among participants with multivariate categorical data. Indeed, LCA is a method which assigns respondents to classes based on their responses to items in the questionnaire, rather than them being arbitrarily assigned to classes by the researchers.…”
Section: Introductionmentioning
confidence: 99%