Using and Interpreting Data. Substance Abuse Epidemiology Unit Epidemiology and Response Division New Mexico Department of Health. Outline. Measures of relative frequency Calculating rates Examples Age-adjustment Trends Small group exercises Sources of data
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Using and Interpreting Data Substance Abuse Epidemiology Unit Epidemiology and Response Division New Mexico Department of Health
Outline • Measures of relative frequency • Calculating rates • Examples • Age-adjustment • Trends • Small group exercises • Sources of data • Review of the New Mexico State Epi Profile • Community examples
Ratios • Ratio: a comparison of two groups • Groups may be unrelated or subgroups of a larger category • Ratio = A / B • Examples: miles / gallon students / teacher males / females (sex ratio)
Proportions • Proportion: a relationship of one part to the whole, e.g. percentage, fraction, decimal • Percentage = __A__ x 100 A + B • Numerator is always included in the denominator • Examples: • ______# of females in class______ # of females + # of males in class • ___# of alcohol-related deaths in Sandoval county_____ Total # of alcohol-related deaths in all 33 NM counties
Calculating Proportions - Example Proportion of alcohol-related (A-R) deaths in Sandoval county Numerator = # A-R deaths in Sandoval county = 213 Denominator = # A-R deaths in New Mexico = 5,068 Time Period = 1999-2003 Constant = 100 Proportion of statewide A-R = __213_ x 100 = 4.2% deaths in Sandoval county 5,068
Prevalence • Prevalence = the number of existing cases or events in a certain population at a given point in time • Prevalence is a proportion and can be expressed as a percentage • Includes current cases/events • Must indicate WHEN cases were enumerated Prevalence = # of existing cases = 15_ = 0.10 X 100 or 10% Total population 150
Rates • Frequency of a defined event in a specified population during a given time period • Incorporates time into the measure • Multiplied by a constant for ease of interpretation • Rate = # events (deaths, cases, etc.) _______# people at risk_____ time • Example: crude death rate
Calculating Rates - Example 2002 all cause crude death rate for NM Numerator = # of deaths in NM during 2002 = 14,344 Denominator = total population of NM in 2002 = 1,853,030 Time Period = 2002 Constant = 100,000 Crude death rate = __14,344__ X 100,000 = 774.1/100,000 1,853,030 Source: CDC Wonder
Age-adjustment of mortality rates • Death rate – number of deaths occurring in a specified population during a given period of time • Crude death rate – the death rate in the total population • Adjusted death rate – recalculation of the death rate using a standard population reference • Compensates for differences in the age distributions of populations being measured • Allows comparisons between groups
Age-adjustment - Example • Crude death rate (1992-1994) • Mexico: 469.6/100,000 • US: 869.6/100,000 • Adjusted death rate (1992-1994) • Mexico: 596.6/100,000 • US: 519.1/100,000
Trends • Looking at the same data over time • Data collected the same way over periods of time • Numbers large enough to calculate percentages or rates for each time period • Same length of time in each period used as a data point
Common Sources of Health Data • Population and demographic data from the US Census Bureau and the Bureau of Business and Economic Research at UNM • Birth and death data from the NM Bureau of Vital Records and Health Statistics • Population-based survey data collected by the NM DOH • YRRS: Youth Risk and Resiliency Survey • BRFSS: Behavioral Risk Factor Surveillance System • Hospitalization in-patient discharge data from the NM Health Policy Commission
How to use this report Outcome indicators: consequences • Problem statement presents overview of the data and detailed statistics • Outcome indicators – associated with two tables • Number of deaths on the left side of the table • Age-specific death rates per 100,000 population on the right side of the table* • County bar chart showing age-adjusted rates for each NM county in descending order *Note: All-ages rate is per 100,000, age-adjusted to the 2000 US population
How to use this report Outcome indicators – Table 2 • Table 2: deaths and death rates for each NM county by race/ethnicity • Useful in determining: • Counties with the most severe substance abuse problems • Groups with the highest risk within each county
How to use this report Outcome indicators – County bar charts • Number of deaths and the percent of NM deaths occurring in each county are given next to the county name on the left side • Highest death rates are at the top • State rate shown with a darker bar for comparison
Alcohol-Related Chronic Liver Disease Death Example of county bar chart • McKinley county AR-CLD death rate: 39.3/100,000 • McKinley county deaths: 119/1,304 = 9.1% of AR-CLD statewide deaths • New Mexico AR-CLD death rate: 14.4/100,000 *All rates are per 100,000, age-adjusted to the 2000 US population
How to use this reportRates and numbers • Example: McKinley and Bernalillo counties • Consider both prevalence and rate when designing interventions • County with highest alcohol-related death rate • 115.1 deaths / 100,000 population • County with highest proportion of alcohol-related deaths in the state • 1,491/ 5,068 = 29.5%
Alcohol-Related Death Rates by County Example of county bar chart • McKinley county alcohol-related death rate: 115.1/100,000 • New Mexico • alcohol-related death rate: • 56.7/100,000 • Bernalillo county 1494/5,068 = 29.5% of AR-CLD statewide deaths *All rates are per 100,000, age-adjusted to the 2000 US population
How to use this report ATODA consumption behaviors • BRFSS data estimate number and percent of people in population engaging in behavior • Table 1: Statewide estimates by age, sex, and race/ethnicity • Table 2: County estimates by race/ethnicity • County bar charts arranged in descending order
Adult Drinking and Driving Rates by County Example of county bar chart: BRFSS • Luna county: 4.8% of adults reported drinking and driving at least once in past 30 days • No estimates available for small counties • Bernalillo county accounted for 47.8% of statewide drinking drivers *Estimate of percent of people in population group who drove after drinking at least once in previous 30 days
How to use this reportATODA consumption behaviors • YRRS data estimate percent of public high school students engaging in behavior • Table 1: Prevalence estimates by grade, sex, and race/ethnicity • Chart 1: County bar charts with prevalence estimates arranged in descending order
Survey Data • BRFSS • Telephone survey of adult health conditions and risk behaviors • Random sample of adults 18 years of age or older in households with a land-line telephone • Able to generate population-based estimates for adults • YRRS • School-based survey of health risk and resiliency behaviors among 9th-12th graders in NM • School districts must agree to participate • Estimates representative of public high school students • Both surveys include self-reported data
How to use this report Missing data • Rates calculated using small numbers are unstable and difficult to interpret • Exclusions of rates occurred if: • Fewer than four deaths and population <20 in the rate denominator (NM standard small numbers rule) • Fewer than two deaths per county per year • Results in data gaps for certain groups
Death Hospitalization Ambulatory Not reported in any system Data Collection • Think about data availability as a pyramid • Numerator – what are you counting? • Denominator – who is in the target population? • Are the data already available? • If not, can they be collected in a systematic way?
Data Collection • Numerator: Counting DWI convictions in 2004 • Denominator: Determining the population at risk Example 1 – 2004 DWI Conviction Rate for New Mexico
Example 1 2004 DWI Conviction Rate for NM Numerator = # of DWI convictions in NM in 2004 =12,639 Denominator = # of licensed drivers in NM in 2004 =1,289,089 Time Period = 2004 Constant = 1,000 DWI Conviction Rate NM 2004 = _12,639_ X 1,000 1,289,089 = 9.80/1,000 Source: New Mexico Department of Transportation, Driving While Impaired in NM, 2004 Report
Data Collection Example 2 – Fetal Alcohol Syndrome (FAS) Rate in New Mexico • Numerator: Counting FAS cases in NM • Denominator: Determining the population at risk
Diagnosis of FAS • Documentation of 3 dysmorphic facial features • Prenatal or postnatal growth deficit in height or weight • CNS abnormality • Diagnosis classified on the basis of available history of confirmed or unknown prenatal alcohol exposure
Example 2 FAS Prevalence Rate in NM Numerator = # FAS-affected children born 1998-2002 Denominator = # live births in NM 1998-2002 Time Period = 1998-2002 Constant = 10,000
Data Collection - Discussion • What are some other substance use consequences in your community? • Are there data already available? • If data need to be collected, how would you define a case/event (numerator) and the population at risk (denominator)? • Who can you call for help?
Acknowledgments Dan Green, Social Indicator Epidemiologist Jim Roeber, Alcohol Epidemiologist Substance Abuse Epidemiology Unit Corazon Halasan, Community Epidemiologist Community Health Assessment Program
Contact Information Tierney Murphy Substance Abuse Prevention Epidemiologist New Mexico Department of Health Phone: 827-6816 E-mail: tierney.murphy@state.nm.us
Data Collection Example 3 – School Truancy Rate in Your Community • Numerator: Counting middle and high school students who have unexcused absences • Denominator: Determining the population at risk
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