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Cell Phone Sampling
 Traditionally, BRFSS has relied on calls to landline telephone numbers only.
 In the past several years, the number of cell phone-only households, which exclu-
sively use cell phones for voice communication, has steadily increased in the U.S.
and Nebraska.
 In 2010, in Nebraska, over 30% of households were cell phone-only households.
 Certain demographic groups are more likely to reside in a cellphone-only house-
holds. These groups include younger population, Hispanics, unmarried individuals
and renters.
 Starting in 2011, the BRFSS sampling methodology included cell phone-only and
cell phone-mostly households—the latter, are households that have a landline
phone but cell phone use is 90% of the time or more.
 In 2011, interviews from cell phone-only or mostly households represented about
20% of all BRFSS phone interviews completed in Nebraska.
 Inclusion of cell phone interviews into the BRFSS methodology will allow for a
better representation of certain demographic groups described above which were
increasingly being left out of the BRFSS surveys.
2011 Nebraska BRFSS
Quick Facts :
 Cell phone interviews are
being included in the
methodology
 Weighting procedure
changed from post-
stratification to raking
 Difference in estimates
between years are likely
due to improved methods
 Beginning with the 2011
BRFSS data, a new trend
line must be started for all
risk factor and disease
indicators
 Shape and slope of the
trend line should not
change greatly
Nebraska Behavioral Risk Factor Surveillance System
July 2012Volume 1, Issue 1
Increasing representativeness and
improving prevalence estimates through
raked weights and cell phone sampling
Iterative Proportional Fitting (Raking)
 Due to certain sampling and data collection processes, the characteristics of the sample may not entirely represent
the characteristics of the population. This may lead to biased estimates.
 Data weights are statistical adjustments employed so that the groups that are under or over represented in the
sample more accurately match the population characteristics.
 Before 2011, BRFSS used post-stratification weighting to match the sample to the population. This procedure
matches the population on four dimensions: age, gender, race/ethnicity and region.
 Starting in 2011, BRFSS began using a new weighting methodology (i.e. raking). This new approach allowed for
consideration of other demographic dimensions in the weighting analysis (e.g. education level, marital status,
home ownership status, and the crucial phone source, in addition to the standard age, gender, and race/ ethnicity
and health district variables) and incorporation of cell phone sampling.
 The new methodology is expected to produce prevalence estimates of risk factors and diseases that are more rep-
resentative of the population.
2
Factsheet prepared by: Mihaela Johnson, PhD
For more information on this topic, contact:
Nebraska BRFSS Program
301 Centennial Mall South, P.O. Box 95026
Lincoln, NE 68509-5026
Phone: 402-471-1063
Website: www.dhhs.ne.gov/brfss
Nebraska Behavioral Risk Factor Surveillance System
To learn more about the Nebraska Behavioral Risk Factor Surveillance System, or to
view additional reports, visit: http://www.dhhs.ne.gov/brfss
What to expect:
 In Nebraska, the estimates for the percent of respondents who reported having a personal doctor or
healthcare coverage were overestimated with the old methodology while the estimates for the percent re-
porting currently smoking, binge drinking and being disabled were underestimated (figure above).
 Size and direction of effects vary for each state depending on the demographic profile of that state and the
risk factor or disease being examined.
 Any shifts in observed prevalence from 2010 post-stratification to 2011 raking for BRFSS measures will
likely reflect improved methods.
 While the actual estimate may be different due to the new methodology and addition of cell phone inter-
views, the shape and slope of the trend line should not change greatly.
 A new trend line for prevalence estimates must be started with the 2011 BRFSS data.
ADA/EOE/AA
-5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0 3.0 4.0
Binge drinking
Disability status
Current cigarette smoking
Routine check up, past year
Obesity
Cardiovascular disease
Diabetes
Heart attack
HIV high risk behavior
Stroke
Overweight or obese
Coronary heart disease
Seat belt usage
Current asthma
HIV tested, ever
Any physical activity
Good or better health
Healthcare coverage, age 18-64
Has personal doctor
Percent difference between 2011 BRFSS raked estimates and 2010
BRFSS post-stratified estimates for select indicators, Nebraska

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vol3-I1-CellPhoneSampling

  • 1. 1 Cell Phone Sampling  Traditionally, BRFSS has relied on calls to landline telephone numbers only.  In the past several years, the number of cell phone-only households, which exclu- sively use cell phones for voice communication, has steadily increased in the U.S. and Nebraska.  In 2010, in Nebraska, over 30% of households were cell phone-only households.  Certain demographic groups are more likely to reside in a cellphone-only house- holds. These groups include younger population, Hispanics, unmarried individuals and renters.  Starting in 2011, the BRFSS sampling methodology included cell phone-only and cell phone-mostly households—the latter, are households that have a landline phone but cell phone use is 90% of the time or more.  In 2011, interviews from cell phone-only or mostly households represented about 20% of all BRFSS phone interviews completed in Nebraska.  Inclusion of cell phone interviews into the BRFSS methodology will allow for a better representation of certain demographic groups described above which were increasingly being left out of the BRFSS surveys. 2011 Nebraska BRFSS Quick Facts :  Cell phone interviews are being included in the methodology  Weighting procedure changed from post- stratification to raking  Difference in estimates between years are likely due to improved methods  Beginning with the 2011 BRFSS data, a new trend line must be started for all risk factor and disease indicators  Shape and slope of the trend line should not change greatly Nebraska Behavioral Risk Factor Surveillance System July 2012Volume 1, Issue 1 Increasing representativeness and improving prevalence estimates through raked weights and cell phone sampling Iterative Proportional Fitting (Raking)  Due to certain sampling and data collection processes, the characteristics of the sample may not entirely represent the characteristics of the population. This may lead to biased estimates.  Data weights are statistical adjustments employed so that the groups that are under or over represented in the sample more accurately match the population characteristics.  Before 2011, BRFSS used post-stratification weighting to match the sample to the population. This procedure matches the population on four dimensions: age, gender, race/ethnicity and region.  Starting in 2011, BRFSS began using a new weighting methodology (i.e. raking). This new approach allowed for consideration of other demographic dimensions in the weighting analysis (e.g. education level, marital status, home ownership status, and the crucial phone source, in addition to the standard age, gender, and race/ ethnicity and health district variables) and incorporation of cell phone sampling.  The new methodology is expected to produce prevalence estimates of risk factors and diseases that are more rep- resentative of the population.
  • 2. 2 Factsheet prepared by: Mihaela Johnson, PhD For more information on this topic, contact: Nebraska BRFSS Program 301 Centennial Mall South, P.O. Box 95026 Lincoln, NE 68509-5026 Phone: 402-471-1063 Website: www.dhhs.ne.gov/brfss Nebraska Behavioral Risk Factor Surveillance System To learn more about the Nebraska Behavioral Risk Factor Surveillance System, or to view additional reports, visit: http://www.dhhs.ne.gov/brfss What to expect:  In Nebraska, the estimates for the percent of respondents who reported having a personal doctor or healthcare coverage were overestimated with the old methodology while the estimates for the percent re- porting currently smoking, binge drinking and being disabled were underestimated (figure above).  Size and direction of effects vary for each state depending on the demographic profile of that state and the risk factor or disease being examined.  Any shifts in observed prevalence from 2010 post-stratification to 2011 raking for BRFSS measures will likely reflect improved methods.  While the actual estimate may be different due to the new methodology and addition of cell phone inter- views, the shape and slope of the trend line should not change greatly.  A new trend line for prevalence estimates must be started with the 2011 BRFSS data. ADA/EOE/AA -5.0 -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0 3.0 4.0 Binge drinking Disability status Current cigarette smoking Routine check up, past year Obesity Cardiovascular disease Diabetes Heart attack HIV high risk behavior Stroke Overweight or obese Coronary heart disease Seat belt usage Current asthma HIV tested, ever Any physical activity Good or better health Healthcare coverage, age 18-64 Has personal doctor Percent difference between 2011 BRFSS raked estimates and 2010 BRFSS post-stratified estimates for select indicators, Nebraska