STD Surveillance Network
Supporting Statement
Part B
Contact Information
Project Officer
Eloisa LLata, MD, MPH
National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention
Division/ Branch
Centers for Disease Control and Prevention
1600 Clifton Road NE, Mailstop
Atlanta, GA 30333.
Voice: (404) 639-6183
Fax: (404) 639-8610
Email: gge3@cdc.gov
B. Statistical Methods
1. Respondent Universe and Sampling Methods
The STD Surveillance Network (SSuN) is a network of 12 collaborating surveillance sites around the United States with the capacity to conduct clinic-based and population-based STD surveillance activities such as monitoring the prevalence of STDs, HIV, viral hepatitis, and associated risk behaviors. SSuN activities will fall into two broad respondent universes: clinic-based STD surveillance and population-based STD surveillance, as outlined below.
Clinic-based STD surveillance:
The respondents providing the information for SSuN’s clinic-based surveillance are the 12 SSuN collaborating sentinel surveillance sites (Table B.1.A). Within these 12 collaborating sites there are currently 42 STD clinics that together report data from approximately 201,300 patient visits per year (Table B.1.A). All patient visits to these clinics will be included in the study and reported to CDC by the collaborating sites. As part of routine patient care, information on demographics, behavioral risk factors, and medical history will be collected by clinic staff and entered into patient charts. Project staff will abstract data from routine electronic and hard-copy STD clinic medical records and enter them into the project’s electronic database.
Table B.1.A
Collaborating sentinel surveillance sites |
Participating Clinics |
Estimated # patient visits/yr |
1 Alabama Department of Health |
Jefferson County |
11,800 |
2 Baltimore City Health Department |
Druid, Eastern |
13,500 |
3 Chicago Department of Health |
Englewood, Howard Brown, Lakeview, Roseland, South Austin, West Town |
20,000
|
4 Colorado Department of Public Health and Environment |
Denver |
10,000 |
5 Connecticut Department of Public Health |
Hartford, New Haven |
4,500 |
6 County of Los Angeles Department of Public Health/California State Department of Public Health |
Antelope Valley, Central, Curtis Tucker, Hollywood-Wilshire, Monrovia, North Hollywood, Pomona, Ruth Temple, Simms Mann, South Torrance, Whittier |
22,000 |
7 Louisiana Office of Public Health |
Delgado Personal Health Center |
6,000 |
8 New York City Department of Public Health and Mental Hygiene |
Bushwick, Central Harlem, Chelsea, Corona, East Harlem, Fort Greene, Jamaica, Morrisania, Richmond, Riverside |
72,000 |
9 Philadelphia Department of Public Health |
Health Clinic # 1, Health Clinic # 5 |
15,000 |
10 San Francisco Department of Public Health |
San Francisco City Clinic |
12,000 |
11 Virginia Department of Public Health |
Richmond City, Henrico, Chesterfield |
6,000 |
12 Washington State Department of Health |
Seattle-King County |
8,500 |
Totals |
42 clinics |
201,300 |
Population-based STD surveillance:
The respondents providing the information for SSuN’s population-based STD surveillance activity are persons identified as having gonorrhea by case report to the 12 state or municipal health departments participating in SSuN (Table B.1.B). Within these 12 collaborating sites there are currently 115 counties with an estimated population of more than 63 million people (U.S. Census Bureau 2010, Summary File 2, 100% count). In 2011 there were there were 67,943 gonorrhea case reports from this population, representing approximately 21.6% of the national gonorrhea case reports in that year. Health departments will approach randomly-selected persons reported with gonorrhea and request their participation for interview. These randomly-selected persons will be interviewed until the requisite 240 yearly interviews are complete.
Table B.1.B
Collaborating sentinel surveillance sites |
Associated counties |
Total # of gonorrhea case reports in 2011 |
# of interviews to be completed for SSuN |
1 Alabama Department of Health |
Jefferson |
2,367 |
240 |
2 Baltimore City Health Department |
Baltimore City |
2,553 |
240 |
3 Chicago Department of Health |
Cook |
8,419 |
240 |
4 Colorado Department of Public Health and Environment |
Adams, Arapahoe, Denver |
1,442 |
240 |
5 Connecticut Department of Public Health |
Hartford, New Haven |
1,771 |
240 |
6 County of Los Angeles Department of Public Health/California State Department of Public Health (not including San Francisco) |
All 61 health jurisdictions in CA (not including SF) |
25,278 |
240 |
7 Louisiana Office of Public Health |
Orleans |
1,551 |
240 |
8 New York City Department of Public Health and Mental Hygiene |
Bronx, Kings, New York, Queens, Richmond |
11,460 |
240 |
9 Philadelphia Department of Public Health |
Philadelphia |
7,088 |
240 |
10 San Francisco Department of Public Health |
San Francisco |
2,258 |
240 |
11 Virginia Department of Public Health |
Chesterfield, Henrico, Richmond |
1,019 |
240 |
12 Washington State Department of Health |
all 39 counties in WA |
2,737 |
240 |
Totals |
115 counties |
67,943 |
2,880 |
Minimum sample size for subgroup analysis for population-based activities
For the population-based portion of SSuN, each of the 12 collaborating SSuN sites will conduct a minimum of 240 interviews per year for a total of 2,880 interviews per year with persons infected with gonorrhea. The interviews will be conducted with persons who are randomly selected out of the total number of gonorrhea case-reports received by each site.
During the interviews, information on demographics, behavioral risk factors, and medical history will be collected. Project staff will abstract pertinent information from paper or electronic forms and enter it into the project’s electronic database. Data collected from personal interviews among a random sample of cases will significantly improve ascertainment of critically important information often missing from routine case reporting such as the race, Hispanic ethnicity and gender of sex partners of the patient. More complete ascertainment of these data will allow for more accurate calculation of the burden of disease across populations and contribute to a more comprehensive understanding of inequalities and identification of disproportionately affected populations. Currently, there are no systems in place that easily identify groups of people with higher burdens of gonorrhea. SSuN offers a system by which disproportionately affected populations and groups can be identified so that public health prioritizations can be made.
To improve the capacity of national, state, and local STD programs to detect, monitor, and respond rapidly to trends in STDs and to improve the health of populations disproportionately affected by STDs and other related diseases and conditions, an understanding of the basic epidemiology of GC is fundamental. This includes determining the incidence of gonorrhea in subgroups and by race and Hispanic ethnicity. The random sample of gonorrhea cases interview for SSuN are representative of the geographic areas collaborating in SSuN and can be weighted to more reliably estimate the incidence of disease by race and ethnicity.
Stratification weights will be calculated separately for each collaborating jurisdiction based on the effective sample fraction for the participating county within the jurisdiction. Post-stratification weights will also be calculated to adjust for observed non-response at the jurisdiction level by sex, age and diagnosing provider type. Additionally, overall project weights will be calculated based on the proportion of cases each jurisdiction contributes to the project. Overall non-response adjustment weights will also be calculated, allowing for weighted analysis of these data at the individual site and overall project levels.
Comparison of incidence rates by race and Hispanic ethnicity estimated based on the random sample will be compared to those obtained through routine case reporting for each jurisdiction and for all collaborating project areas combined. Differences observed between rates based on these two sources will provide valuable insight to better target resources and to help interpret routine case reporting data.
2. Procedures for the Collection of Information
Clinic-based STD surveillance:
Project staff in participating SSuN sites will abstract data from all patients visiting participating STD clinics. Depending on local capacities, patient information may be stored on paper records or in an electronic format. These data will be entered into the project’s electronic database. STD clinic data to be transmitted to CDC for SSuN will be periodically edited by trained personnel using a CDC-designed edit check program. Data will be uploaded on a quarterly basis by trained data managers at collaborating sites to a CDC-designed and -operated secure data network (SDN). None of the data transmitted to CDC will contain any information in identifiable form. Data will be downloaded from the SDN, stored, and maintained at CDC by a data manager in the Statistics and Data Management Branch of the National Center for HIV, Hepatitis, STD, and TB Prevention.
Data elements collected in this clinic-based STD surveillance include patient demographics, behavioral risk factors associated with STDs, STD clinical history and findings, STD laboratory test results, and STD diagnoses (see data elements attachment). These data elements were developed collaboratively and agreed upon by members of SSuN. Participation in SSuN does not require the collection of data elements that are not already collected at collaborating STD clinics. Completeness of reporting and the quality of data submitted will be monitored by CDC on at least a quarterly basis. Site visits, regular communication with CDC, and data quality checks will provide opportunity for evaluation and troubleshooting of these processes.
Population-based STD surveillance:
A random sample of persons with gonorrhea reported to the health department will be interviewed by local health departments and included in SSuN population-based STD surveillance. These persons will be a subset of all persons diagnosed with gonorrhea and reported to a health department in any of the 115 counties associated with collaborating sites.
As a gonorrhea case report is received by the local health department, it will be assigned a random number (e.g. from 1 to 100) by local officials. If the random number assigned to a particular case is below a set threshold value for the site (the threshold value might vary from one site to another, depending on how many case reports a particular site expects to receive in a year), the case will be contacted for interview. If the random number assigned to a case is above the threshold number for that site, the case will not be contacted for interview. Each site will use this randomization method to complete interviews with the target number of 240 interviews per year. There will not be a screening prior to interviews. CDC will have no information in identifiable form for any of the cases and will not participate in any way in the contact of cases for interview.
Cases that fall within the sampling fraction will be contacted by trained interviewers working at local health departments for a telephone or in-person interview within 60 days of receipt of their case report. Interviewers will collect information on demographics, STD clinical history, and behavioral risk factors associated with STDs (see data elements attachment). These data elements were developed collaboratively by SSuN participating sites and CDC. Depending on resources available at each site, information collected in interviews will be recorded locally on paper records or in electronic format.
Project staff will then abstract the pertinent data from paper or electronic forms and enter them into the project’s electronic database. These interviews will collect more detailed information than is available in the interviews normally conducted by the departments of health, and it will collect data in a way that is standardized across the participating sites.
Locally, data will be periodically edited by trained personnel using a CDC-designed edit check program. On a quarterly basis, data will be uploaded by trained data managers at collaborating sites to a CDC-designed and –operated secure data network (SDN) on a quarterly basis. At CDC, data will be downloaded from the SDN, stored, and maintained by a data manager in the Statistics and Data Management Branch of the National Center for HIV, Hepatitis, STD, and TB Prevention. Completeness of reporting and the quality of data submitted will be monitored by CDC on a quarterly basis. Site visits, regular communication with CDC, and data quality checks will provide opportunity for evaluation and troubleshooting of these processes.
Data on race and ethnicity will be collected in compliance with the two-question format described in the 1997 Office of Management and Budget’s Standards for Maintaining, Collecting, and Presenting Federal Data on Race and Ethnicity, also known as Statistical Policy Directive 15.
3. Methods to Maximize Response Rates and Deal with Nonresponse
Clinic-based STD surveillance:
STD clinic data for SSuN are extracted from data collected as a routine part of all STD clinic encounters. Site visits and regular communication between CDC will provide opportunities for evaluation and troubleshooting to improve completeness of any data element not routinely being collected or documented. The challenge of non-response is not applicable for this study because the data elements will be extracted according to a pre-determined protocol for all patients who use the clinic and submitted to CDC through the existing secure data network.
Population-based STD surveillance:
Trained interviewers at participating sites will contact patients via phone call or letter to complete a phone or in-person interview with the patient. Protocols for maximizing the likelihood of a successful interview with patients vary by site, but at least three attempts to contact a selected patient will be made in all sites. Historical data from these sites suggest that about 90% of patients who are reached by phone or in-person agree to participate in SSuN interviews. Site visits and regular communication between CDC will provide opportunities for evaluation and troubleshooting to improve interview success rates.
4. Test of Procedures or Methods to be Undertaken
SSuN will monitor the results of multiple diagnostic tests, clinical procedures, and laboratory methods such as bacterial culture, gram stain, wet mount, nucleic acid amplification tests, treponemal antibody tests, rapid HIV test, ELISA, Western blot, RPR, VDRL, and Treponema pallidum particle agglutination assay (TP-PA). These tests are carried out by the participating clinics as part of the routine clinical care of their patients and will not be performed expressly for SSuN; none of the tests are considered experimental.
Clinic-based STD surveillance:
The clinic-based portion of SSuN has procedures for collecting data on demographics, history of STD and other reproductive diseases, treatments received, behavioral risk factors associated with STDs, treatment of partners, symptoms, provider diagnosis, testing results, and exam findings were designed based on provider surveys and surveillance strategies currently employed by health care providers in collaborating sites.
Population-based STD surveillance:
The population-based portion of SSuN has procedures for collecting data on demographics, history of STD and other reproductive diseases, treatments received, and behavioral risk factors associated with STDs were designed based on provider surveys and surveillance strategies currently employed by health care providers in collaborating sites.
5. Individuals Consulted on Statistical Aspects and Individuals Collecting and/or Analyzing Data
SSuN received statistical support from the following sources:
Statistics and Data Management Branch; Division of STD Prevention, National Center for HIV, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention:
Jim Braxton 404-639-1837 hzb8@cdc.gov
Darlene Davis 404-639-1838 dwd1@cdc.gov
Eloisa Llata 404-639-6183 gge3@cdc.gov
Mark Stenger 404-639-6136 zpl4@cdc.gov
Sarah Kidd 404-639-8134 hgk9@cdc.gov
Hillard Weinstock 404-639-2059 hsw2@cdc.gov
Grantees, who are employees of the following state or local health departments:
Alabama Department of Public Health
Baltimore City Health Department
Chicago Department of Public Health
Colorado Department of Public Health and Environment
Connecticut Department of Public Health
City of Los Angeles Department of Public Health
Louisiana Department of Health and Hospitals
New York City Department of Health and Mental Hygiene
Philadelphia Department of Public Health
Virginia Department of Health
Washington State Department of Health
File Type | application/msword |
File Title | Title |
Author | vbs6 |
Last Modified By | Bonds, Constance (CDC/OID/NCHHSTP) |
File Modified | 2012-04-30 |
File Created | 2012-04-30 |