Query Result Page Options
- This features only effects queryable datasets loaded after the apply criteria feature is enabled.
- When in the builder interface you can override and make additional changes (select or deselect).
See the Introduction to My Selections page for more information.
|Women who quit smoking cigarettes during pregnancy (among those who smoked before pregnancy) Filter:||Yes|
|Year Filter:||2015, 2016, 2019|
|Data Grouped By:||County|
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Question Wording:Based on a series of questions. In the 3 months before you got pregnant, how many cigarettes did you smoke on an average day? (A pack has 20 cigarettes.) In the last 3 months of your pregnancy, how many cigarettes did you smoke on an average day? (A pack has 20 cigarettes.) A woman who smoked in the 3 months before she got pregnant but not in the last 3 months of pregnancy is considered to have quit during pregnancy.
Suppression of EstimatesAccording to CDC PRAMS guidelines, a minimum of 30 respondents must answer the question in order for it to be reported. Where the number of respondents is below 30, or the RSE is greater than 0.50, ** will appear in the table.
Weighted Survey DataThe percentages reported above have been produced by weighting the sample so that the results better represent the population of Hawai'i. Numerator and denominator data have been rounded to the nearest 100. In cases where the numerator is 49 or less, it is displayed as 50.
Data Sources'''Citation''': Hawaii State Department of Health, Hawaii Health Data Warehouse, Pregnancy Risk Assessment Monitoring System, ''[Chart Title, years]''. [URL.] Published [update date]. Accessed [query date].
Asymmetric Confidence IntervalsThe confidence bounds are asymmetric. They do not extend evenly above and below the percentage, especially as the percentage gets close to 0% or 100%.
Average Annual Population EstimateThe denominator includes all survey respondents except those with missing, don't know and refused answers. If the query was limited to a particular sub-population-group, only those respondents are included in the denominator.
Survey SamplePRAMS uses a two-stage, stratified random sampling method to identify the sample. The sampling frame is drawn from birth certificates. Each month, approximately 200 women who are 2 to 4 months post-delivery are chosen. The sample includes only residents of Hawai'i who had a recent live birth in the state. The results are weighted to ensure accurate representation of the population.Note: the 2019 PRAMS dataset is smaller than previous years. See thePRAMS Data Release notesfor more details.
Hawai'i Pregnancy Risk Assessment Monitoring System'''Statistical Stability''' Relative standard error, or RSE, is the standard error expressed as a proportion of the point estimate. "Stable" is displayed when the RSE is below 0.30. "Unstable" is displayed when the RSE is 0.30-0.50. An unstable count or rate may fluctuate widely across time periods due to random variation (chance). "Very unstable" is displayed when the RSE is greater than 0.50. A very unstable count or rate should not be used to inform decision making. Problems with statistical instability typically occur when there is a small number of health events in a small population. You may combine years or otherwise increase the population size used in the query to achieve a more stable count or rate. '''Survey Sample''' PRAMS uses a two-stage, stratified random sampling method to identify the sample. The sampling frame is drawn from birth certificates. Each month, approximately 200 women who are 2 to 4 months post-delivery are chosen. The sample includes only residents of Hawai'i who had a recent live birth in the state. The results are weighted to ensure accurate representation of the population.