Difference between revisions of "PM - Decrease Deaths due to Opioid Misuse"
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| − | <div class="mw-parser-output">Return to <u>[[Decrease_Deaths_due_to_Opioid_Misuse|Decrease Deaths due to Opioid Misuse]]</u> | + | <div class="mw-parser-output"><div class="mw-parser-output">''Return to <u>[[Decrease_Deaths_due_to_Opioid_Misuse#Scorecard_Building|Decrease Deaths due to Opioid Misuse]]</u>'' |
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= Potential Measures = | = Potential Measures = | ||
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{| border="1" class="wiki_table" | {| border="1" class="wiki_table" | ||
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| − | | '''Measure''' | + | | style="width: 295px;" | |
| − | | '''Description''' | + | == '''Measure''' == |
| − | | '''Calculations''' | + | |
| − | | '''Data Source''' | + | | style="width: 787px;" | |
| + | == '''Description''' == | ||
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| + | | style="width: 125px;" | | ||
| + | == '''Calculations''' == | ||
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| + | == '''Data Source''' == | ||
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| − | | Number of Emergency Department Discharges Related to Opioids | + | | style="width: 295px;" | Number of Emergency Department Discharges Related to Opioids |
| − | | The number of emergency department discharges related to opioids. <span style="font-family: Verdana,Arial; font-size: 12px">This measure reflects (out-patient) discharges related to opioids.</span> | + | | style="width: 787px;" | The number of emergency department discharges related to opioids. <span style="font-family: Verdana,Arial; font-size: 12px">This measure reflects (out-patient) discharges related to opioids.</span> |
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| <span style="font-family: Verdana,Arial; font-size: 12px">Wyoming Hospital Association via Wyoming Department of Health</span> | | <span style="font-family: Verdana,Arial; font-size: 12px">Wyoming Hospital Association via Wyoming Department of Health</span> | ||
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| − | | Number of Hospital Discharges Related to Opioid Overdose | + | | style="width: 295px;" | Number of Hospital Discharges Related to Opioid Overdose |
| − | | The number of hospital discharges related to opioid overdose. <span style="font-family: Verdana,Arial; font-size: 12px">This measure reflects (in-patient) discharges related to opioid overdose.</span> | + | | style="width: 787px;" | The number of hospital discharges related to opioid overdose. <span style="font-family: Verdana,Arial; font-size: 12px">This measure reflects (in-patient) discharges related to opioid overdose.</span> |
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| <span style="font-family: Verdana,Arial; font-size: 12px">Wyoming Hospital Association via Wyoming Department of Health</span> | | <span style="font-family: Verdana,Arial; font-size: 12px">Wyoming Hospital Association via Wyoming Department of Health</span> | ||
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| − | | | + | | style="width: 787px;" | |
| − | | | + | | style="width: 125px;" | |
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| − | + | = Potential Data Sources = | |
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| + | === Site === | ||
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| − | + | | style="width: 171px;" | | |
| + | === Org === | ||
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| + | | style="width: 174px;" | | ||
| + | === Date Added === | ||
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| + | | style="width: 1073px;" | | ||
| + | === Comments === | ||
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| − | [http://www.countyhealthrankings.org/measure/drug-overdose-deaths-modeled | + | [http://www.countyhealthrankings.org/measure/drug-overdose-deaths-modeled] |
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| − | | County Health Rankings | + | | style="width: 171px;" | County Health Rankings |
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| − | | 1/13/17 | + | | style="width: 174px;" | 1/13/17 |
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| − | | -Year = 2014<br/> -Can view data by state<br/> "The National Center for Health Statistics has produced model-based age-adjusted death rates for drug poisoning per 100,000 population by county and year. Briefly, two-stage hierarchical models were used to generate empirical Bayes estimates of county age-adjusted death rates due to drug poisoning for each year during 2002–2014. These annual county-level estimates “borrow strength” across counties to generate stable estimates of death rates where data are sparse due to small population size." | + | | style="width: 1073px;" | -Year = 2014<br/> -Can view data by state<br/> "The National Center for Health Statistics has produced model-based age-adjusted death rates for drug poisoning per 100,000 population by county and year. Briefly, two-stage hierarchical models were used to generate empirical Bayes estimates of county age-adjusted death rates due to drug poisoning for each year during 2002–2014. These annual county-level estimates “borrow strength” across counties to generate stable estimates of death rates where data are sparse due to small population size." |
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| − | </div> | + | </div> </div> |
Latest revision as of 02:02, 4 November 2019
Return to Decrease Deaths due to Opioid Misuse
Contents
Potential Measures
As you add potential measures, please include a description, calculations for the measure and possible data sources.
Measure |
Description |
Calculations |
Data Source |
| Number of Emergency Department Discharges Related to Opioids | The number of emergency department discharges related to opioids. This measure reflects (out-patient) discharges related to opioids. | Wyoming Hospital Association via Wyoming Department of Health | |
| Number of Hospital Discharges Related to Opioid Overdose | The number of hospital discharges related to opioid overdose. This measure reflects (in-patient) discharges related to opioid overdose. | Wyoming Hospital Association via Wyoming Department of Health | |
Potential Data Sources
Site |
Org |
Date Added |
Comments | |||
| County Health Rankings | 1/13/17 | -Year = 2014 -Can view data by state "The National Center for Health Statistics has produced model-based age-adjusted death rates for drug poisoning per 100,000 population by county and year. Briefly, two-stage hierarchical models were used to generate empirical Bayes estimates of county age-adjusted death rates due to drug poisoning for each year during 2002–2014. These annual county-level estimates “borrow strength” across counties to generate stable estimates of death rates where data are sparse due to small population size." |
