baltimore update: ssun, 2009. challenges in implementation clinic-based dataset: – existing clinic...
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![Page 1: Baltimore Update: SSuN, 2009. Challenges in implementation Clinic-based dataset: – Existing clinic data system (Insight™) – Minimal barriers to electronic](https://reader036.vdocument.in/reader036/viewer/2022082712/56649ea85503460f94babe9b/html5/thumbnails/1.jpg)
Baltimore Update: SSuN, 2009
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Challenges in implementation
• Clinic-based dataset: – Existing clinic data system (Insight™)– Minimal barriers to electronic data capture and
export– Greater challenge: Stability of personnel since
initiation of grant• Population-level GC data– Personnel– Some “soft” resistance on part of supervisory field
operations staff
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Successes in implementation
• Population-level GC data– Staff was recruited and trained (Sept 2009)– Initial completion rates for interview > 70% (first 2
months)
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Use of SSuN to Inform Program
• Evaluating EPT experience and re-infection rates in clinic (early)
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GC population-level data: Procedures
• Reported GC cases entered into STD*MIS (routine)
• List generated from STD*MIS for 1 week interval (end date 2 weeks prior)– 1/3 selected using randomization.com application,
corresponding numbers applied to list from STD*MIS
– These 1/3 are chosen for interview
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GC population-level data: Procedures, cont
• Clinical data (treatment, etc) abstracted from provider morbidity reporting if available, or from STD clinic records
• Persons on list contacted by phone (or field visit rarely) by public health investigator under direction of DIS supervisor
• Interview to collect expanded behavioral data • Data entry into Access database• Data file re-merged with STD*MIS, then converted into SAS• Cases “closed” if report date > 60 days without interview
concluding• Plans to change random selection to 1/6 of reported GC
morbidity for December 2009
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Patient visits clinic
Demographic info entered into Insight by clinic staff
Exam, risk behaviors, labs, diagnosis, treatment entered into Insight by clinician
Data stored on SQL server (Insight)
Conduct Insight queries: Core, diagnostic, clinical/lab data
Export data to Excel (.csv)
Import data into Stata (use StatTransfer)
Clean data in Stata: Run contingency tests (use Stata program)
Edit data in Stata
Format to SAS file
Submit to CDC using SDN certificate or FTP website
Clinic-based Surveillance DataGC cases reported to BCHD
(STD*MIS)
Random selection made from population of Baltimore City gonorrhea cases
Some information on questionnaire filled out using Insight database
PID status collected-Insight database (notes section), ER reports or notes
section in STD*MIS
GC test type information collected-Insight database or lab reports faxed to BCHD
Questionnaire data entered into Access database (SSuNInterviewdb)
Personal interview conducted to collect remaining information
Transfer Access file to Stata using StatTransfer
Conduct data coding tests with Stata program
Edit errors in Access database
Transfer cleaned Access database to SAS
Transfer to CDC using SDN transfer certificate or FTP website
Population-based GC Data