0:00:00 | hello |
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0:00:01 | nineteen is just all and i'm a classical assistant professor hubris over to the faculty |
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0:00:06 | of fancy and pharmaceutical signs |
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0:00:09 | i one of the call primary authors of this paper describing medication use changed for |
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0:00:13 | older adults following presentation to the requisite department for can acquire or cat |
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0:00:19 | this is an analysis of a really should be stressed radio stations from edmonton alberta |
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0:00:24 | canada that initially including all patients greater than seventeen years of age presented from the |
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0:00:30 | hearer's two thousand two thousand and you with cap |
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0:00:33 | during quality improvement venture |
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0:00:36 | we utilized in what is very index and research there's is to collect socio demographic |
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0:00:41 | clinical and laboratory data |
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0:00:43 | we restricted this analysis to those greater than sixty five years of age as this |
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0:00:47 | population has been demonstrated to experience greater morbidity and mortality in our previous work |
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0:00:53 | as well as frequently experienced oliveira c |
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0:00:57 | and thus are particularly high risk adverse drug |
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0:01:01 | we also have access to complete prescription cleans data provincial administrative database for this population |
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0:01:09 | during transitions the care studies have shown that many intended medication changes that unintended |
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0:01:15 | medication discrepancies occur placing this all syllable duration at risk of not only adverse events |
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0:01:22 | but also be hospitalisation and the effects that under over treatment |
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0:01:27 | we believe that you need to identify populations address suboptimal but you should use |
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0:01:32 | and understanding one to target their medication profiles for optimization |
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0:01:37 | while we're an adverse drug that's |
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0:01:40 | as such we summarize determine whether altercations presenting with community acquired pneumonia or subject to |
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0:01:47 | only fancy |
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0:01:49 | be here particularly high risk and in to describe their patterns of medication use at |
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0:01:54 | and for one here following than one you presentation |
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0:01:58 | we include two thousand one hundred five subjects that are final study sample with the |
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0:02:03 | meeting to seventy years old |
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0:02:05 | sixty two percent were admitted to hospital |
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0:02:08 | and forty five percent of all the pharmacy baseline |
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0:02:12 | which we defined as five or more medication |
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0:02:16 | i was increased to seventy four percent in the score in the ninety period following |
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0:02:21 | yes cap but remains stable for the balance of the one you're follow up here |
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0:02:25 | e |
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0:02:26 | a limitation of our study is that were unable to quantify more throw measures of |
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0:02:31 | medication part |
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0:02:32 | and could not assessed medication appropriate |
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0:02:35 | however |
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0:02:36 | we found that e percent tuition started at least one you medication in the first |
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0:02:41 | time t d's a follow-up most commonly in an effective and almost seventy five percent |
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0:02:47 | of patients also stopped at least one medication during this time here |
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0:02:52 | although the overall prevalence of medication classes remain stable throughout follow-up the vast majority of |
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0:02:58 | patients had medication changes during the transition of care |
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0:03:03 | you're respect to the antibiotic use |
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0:03:06 | we believe that this time frame immediately following discharge is critical particularly older adults with |
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0:03:12 | multiple medications |
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0:03:14 | with the transfer here |
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0:03:15 | resolution q don't is |
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0:03:17 | you medications and challenges in here and |
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0:03:20 | may combine to produce higher risk of medication really problems |
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0:03:25 | our findings or i the proposed discharge convalescent phase and among older models |
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0:03:30 | two speech will more throw medication review with the court optimized right |
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0:03:36 | in q |
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