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Developed by: Annie Gjelsvik, PhD, Karine Tolentino, MPH, Halima Ahmadi, and Christin Giordano

Web Access to Rhode Island Public Health Data. Developed by: Annie Gjelsvik, PhD, Karine Tolentino, MPH, Halima Ahmadi, and Christin Giordano. In collaboration with the Rhode Island Department of Health Asthma Control Program

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Developed by: Annie Gjelsvik, PhD, Karine Tolentino, MPH, Halima Ahmadi, and Christin Giordano

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  1. Web Access to Rhode Island Public Health Data Developed by: Annie Gjelsvik, PhD, Karine Tolentino, MPH, Halima Ahmadi, and Christin Giordano In collaboration with the Rhode Island Department of Health Asthma Control Program This program is a part of the Public Health Training Program (PHTP): A joint activity of the Brown University Program in Public Health, the RI Department of Health and funded by an education grant from Pfizer, Inc Center for Health Data and Analysis, Rhode Island Department of Health Funding source: Center for Disease Prevention and Control Cooperative Agreement U82/CCU122380-01

  2. Introduction to Public Health Data Valid, reliable data on the communities we serve can help us to: • assess the health of a community or population • search for causes of disease, injury and disability • plan programs to meet community needs • measure progress in prevention and control efforts Adapted from: Public Health Data: Our Silent Partner, http://www.cdc.gov/nchs/data/training/introduction.pdf

  3. Individual and Population-based Data • Quantitative health data can focus on individuals or entire populations. • Classic example of individualized data is a patient’s medical record. The data are used primarily to improve the health of that one individual. • In public health focus is primarily on populations (communities, cities, counties, states). • Population-based data tell us about the overall “health” of that population. Adapted from: Public Health Data: Our Silent Partner, http://www.cdc.gov/nchs/data/training/introduction.pdf

  4. Quantitative Data • Provide what, who, when, & where • Measurable • Involves the counting of people, behaviors, conditions, or other discrete events. Adapted from: Public Health Data: Our Silent Partner, http://www.cdc.gov/nchs/data/training/introduction.pdf

  5. Quantitative Data Examples: • Numbers of deaths can be used to identify leading causes of death (what). • Numbers of smokers and nonsmokers by gender can be used to determine whether men are more likely to smoke than women (who). • Keeping track of the number of people with flu can identify the beginning of the flu season (when). • Comparing the proportion of women who began prenatal care after the first trimester in various counties will provide an indication of where access to prenatal services may be a problem. Adapted from: Public Health Data: Our Silent Partner, http://www.cdc.gov/nchs/data/training/introduction.pdf

  6. Behavioral Risk Factor Surveillance System (BRFSS) It enables the Centers for Disease Control and Prevention (CDC), state health departments, and other health and education agencies to monitor risk behaviors related to chronic diseases, injuries and death. The BRFSS is the largest continuously conducted telephone health survey in the world.

  7. Behavioral Risk Factor Surveillance System Rhode Island undertook the BRFSS for the first time in 1984. For more information, please visit www.cdc.gov/brfss/

  8. Behavioral Risk Factor Surveillance System The BRFSS includes data about health care access, nutritional facts, alcohol and tobacco use, exercise habits, injury prevention, vaccinations, women’s health issues and much more.

  9. Youth Risk Behavior Survey(YRBS) The YRBS was developed in 1990 and includes national and state school-based surveys of representative samples of 9th through 12th grade students, conducted every other year. The schools and classrooms are randomly selected.

  10. Youth Risk Behavior Survey The YRBS surveys teens on weight and dietary practices, sexual practices, tobacco and alcohol use, exercise habits, violence, depression and much more. For more information, please visit www.cdc.gov/yrbs

  11. BRFSS and YRBS: Strengths • Representative For example, the BRFSS samples approximately 4000 adults and these adults represent the entire RI adult population via weighting. Female Male

  12. BRFSS and YRBS: Strengths • Comparable Vs. Since the surveys are conducted using the same methodology nationally, we can compare RI estimates to national, regional, or other state estimates.

  13. BRFSS and YRBS: Strengths • Timely The BRFSS is conducted all year, every year and the YRBS is conducted in the spring every other year.

  14. BRFSS and YRBS: Strengths • Standard surveys The BRFSS is conducted by trained interviewers using computer assisted telephone interview software. The YRBS is a self-administered paper-based survey.

  15. BRFSS and YRBS: Limitations The BRFSS and YRBS are limited in the populations they are able to survey. For the BRFSS, a small percentage of the population do not have any phones, young and poor citizens only use cell phones and there is a greater rate of refusals for phone interviews than for face-to-face interviews. For the YRBS, private school and special education classrooms are excluded. In addition, not every student in the selected classroom will be attending school on that particular day.

  16. BRFSS and YRBS: Limitations 150.0 Versus Another limitation is the validity of answers because people are self-reporting. Memory and attempts to normalize can affect one’s answers. For example, someone might actually weigh 150 pounds but reports 128.3 pounds. Finally, the surveys have restricted times. The BRFSS is limited to about 20 minutes and the YRBS is limited to one class period. Therefore, not all topics can be covered.

  17. www.health.ri.gov/data/webquery.php Bookmark it! This is the main page: Click on the HEALTH Web Query System-BRFS link to get to the BRFSS Web Query System.

  18. You can go to the YRBS Web Query by clicking here.

  19. Note which browsers to use.

  20. Step One: Select the year (s) that interest you. You can click here for variables definition and to find out which year (s) questions are available.

  21. Step 2: Here you select your row topic. Once you highlight a specific topic, the questions asked for that topic will appear in the blank space. You must select a topic AND variable within that topic. Step 3: Here you select your column topic. Once you highlight a specific topic, the questions asked for that topic will appear in the blank space. You must select a topic AND variable within that topic.

  22. Step Four allows you to filter your results by specific populations. If you place too many restrictions, it is possible that you may get “Statistically Unreliable” results because of small sample size. Note that you can make multiple selections or deselect selections by holding down the control key. Step Five allows you to limit your results to a certain county or region.

  23. Step Six allows you to check a box requesting population estimates or an estimated number of RI adults in the group.

  24. Click here to clear the form completely. Click here to submit your query.

  25. Public Health Questions-BRFSS Case-Study Scenario • A public health educator is interested in developing a community based awareness program about asthma. She is particularly interested in differences of asthma prevalence among Rhode Island adults. • In 2004, what is the percent of Rhode Island adults with lifetime asthma?

  26. We are interested in 2004 so we check off the box corresponding to 2004. “Then we select the row topic, in this case, Year.” link

  27. Next we select “year of interview”. You must highlight the variable even though it is the only one in the box.

  28. Then we select the column topic, “Asthma.”

  29. Finally, we select the column variable “Ever told have asthma by health care professional” which corresponds to the question we want to ask.

  30. We do not want to filter any populations so we leave this section blank.

  31. Now we can press “Submit Query” in order to submit our query.

  32. Note that you can choose to include a graph. This is the summary page. Check to make sure that you have selected the desired year (s), row and column variables and press submit. If something is incorrect, you can press back to return to the query page.

  33. This is where your row topic appears. In this case the year you selected. These are your results. Your search criteria will always appear on top. This is where your column topic appears. In this case, whether or not the respondent has ever been told they have asthma by a health care professional.

  34. 604 respondents said “Yes,” that they had been told that they have asthma by a health care professional. n is the number of people who were interviewed.

  35. In 2004, among Rhode Island adults ages 18 and older, an estimated 14.6% have been diagnosed with asthma. This is the approximate actual percentage of the RI population that has this characteristic.

  36. This shows the 95% confidence interval (95%CI), which we will discuss later.

  37. In 2004, an estimated 122,950 Rhode Island adults age 18 and older have been diagnosed with asthma. N refers to the estimated number of RI adults in the group.

  38. Notice the legend and suggested citation. Your data can be downloaded to: Excel, PowerPoint and Microsoft Word.

  39. Public Health Question • In 2004, were there differences based on race/ethnicity in percent of current asthma? • What happens when we combine years?

  40. Step 2: The row topic is “Demographics.” From the list of available row variables, you select race/ethnicity. We are interested in 2004 so we check off the box corresponding to 2004.

  41. Step 3: The column topic is asthma and the specific variable is current asthma.

  42. Now we can press “Submit Query” in order to submit our query.

  43. Note that data is not available for “Current Asthma” in 1998 and in 1999. Now we can press “Submit Query” in order to submit our query.

  44. In 2004, 346 White, Non-Hispanic respondents said that they currently have asthma. Approximately 9.8%, or 69,185 RI White, Non-Hispanic adults currently have asthma.

  45. In 2004, 21 Black, Non-Hispanic respondents said that they currently have asthma. Approximately 10.7% or 2,854 RI White, Non-Hispanic adults currently have asthma.

  46. In 2004, 26 Hispanic respondents said that they currently have asthma. Approximately 5.8%, or 4,231 RI Hispanic adults currently have asthma.

  47. For Asian/Pacific Islander, Non-Hispanic; Native American, Non-Hispanic and Other Non-Hispanic, the “Data is Statistically Unreliable.” Data Statistically Unreliable is displayed whenever the sample size for a row is <100. How can we fix this?

  48. To increase the sample size, we can add more years. This time we study years 2001 through 2004 while leaving everything else the same.

  49. Note that data is available for all of the years that we selected in Step 1. Press submit.

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