Managing public health data: mobile applications and mass vaccination campaigns.

In response to data collection challenges during mass immunization events, Denver Public Health developed a mobile application to support efficient public health immunization and prophylaxis activities. The Handheld Automated Notification for Drugs and Immunizations (HANDI) system has been used since 2012 to capture influenza vaccination data during Denver Health's annual employee influenza campaign. HANDI has supported timely and efficient administration and reporting of influenza vaccinations through standardized data capture and database entry. HANDI's mobility allows employee work locations and schedules to be accommodated without the need for a paper-based data collection system and subsequent manual data entry after vaccination. HANDI offers a readily extensible model for mobile data collection to streamline vaccination documentation and reporting, while improving data quality and completeness.

Using a Handheld Device for Patient Data Collection: A Pilot for Medical Countermeasures Surveillance.

Medical countermeasures (MCMs) are medical products used during public health emergencies. This study, conducted within the Mini-Sentinel Initiative, sought to develop the patient identification and matching processes necessary to assess safety outcomes for MCMs. A handheld device was used to collect identifying information (e.g., name, birthdate, and sex) from the driver's licenses of 421 individuals presenting for routine care at their primary care medical office. Overall, 374 individuals (88.8%) could be linked to their electronic health data using driver's license information. The device was also pilot-tested at a seasonal influenza immunization clinic: detailed vaccine information (e.g., lot number and manufacturer) was captured with a high degree of accuracy. This investigation demonstrated that a handheld device is a feasible means of collecting patient identity and medical product receipt data. This capacity should be useful for safety surveillance of MCMs, particularly when dispensed in settings outside the traditional health-care delivery system.

Comparison of sexually transmitted disease prevalence by reported condom use: errors among consistent condom users seen at an urban sexually transmitted disease clinic.

BACKGROUND: The protective effect of condom use is controversial as a result of limited data. GOAL: The goal of this study was to assess the association between condom use errors in consistent condom users and the prevalence of various sexually transmitted diseases (STDs). STUDY: We conducted a cross-sectional study of visits to an urban STD clinic between January 2001 and January 2003, by women, men who have sex with women (MSW), and men who have sex with men (MSM) by consistent condom users with or without a condom use error. METHODS: Prevalence rates were calculated for gonorrhea, chlamydia, trichomonas, nongonococcal urethritis (NGU), and pelvic inflammatory disease. Rates were stratified by reported errors in condom use over the past 4 months for consistent users with adjusted odds ratios calculated by logistic regression. RESULTS: Among 1973 consistent condom users with error information available, any condom use error was reported more commonly among women (57%) than MSW (48%), or MSM (P <0.001 for each comparison), with breakage being the most frequently reported error. Among MSW, having a condom use error was associated with gonorrhea (adjusted odds ratio [AOR], 5.53; 95% confidence interval [CI], 2.48-12.35), chlamydia (AOR, 3.19; 95% CI, 1.80-5.65), and NGU (AOR, 2.09; 95% CI, 1.45-3.01), whereas, for women and MSM, no associations were seen for any STD. CONCLUSIONS: Condom use errors were common among subjects reporting consistent condom use and for MSW, condom error was associated with a significant increased risk of STD. These data support the premise that correctness of condom use is an important methodologic issue in studies assessing condom effectiveness.

Comparison of sexually transmitted disease prevalence by reported level of condom use among patients attending an urban sexually transmitted disease clinic.

BACKGROUND: There is controversy as to the protective effect of condoms in preventing various sexually transmitted diseases (STDs). GOAL: The goal of this study was to assess the association of various levels of condom use with a variety of STD. STUDY DESIGN: We conducted a cross-sectional study of female and heterosexual male visits to an urban STD clinic between 1990 and 2001. METHODS: Prevalence rates were calculated for gonorrhea, chlamydia, trichomonas, recent-onset genital warts, first-episode herpes, and molluscum contagiosum by reported level of condom use over the past 4 months, with adjusted odds ratios (AOR) calculated by logistic regression. RESULTS: Among 126,220 patient visits (39% women and 61% men), condom use over the past 4 months was reported by 54%, with 38% reporting inconsistent use and 16% consistent use. Condom users reported greater sexual risk in the past 4 months than nonusers (ie, new sex partners: 63% vs. 41%, P <0.001; multiple sex partners: 60% vs. 36%, P <0.001). When all condom users were compared with nonusers, there was limited evidence of protection against specific STD. However, when the analysis was restricted to condom users, infection rates were significantly lower in consistent than inconsistent users for both men and women for gonorrhea (AOR, 0.87 and 0.71, respectfully) and chlamydia (AOR, 0.66 and 0.74, respectfully), for trichomonas in women (AOR, 0.87), and for genital herpes in men (AOR, 0.73). CONCLUSIONS: Comparisons of STD between condom users and nonusers are confounded by greater sexual risk in users. Comparing consistent with inconsistent users reduces this confounding, revealing protection for both men and women for nonviral STD and for genital herpes for men.

Using respiratory-related calls to a nurse advice line to predict pediatric upper respiratory infection-related healthcare utilization.

Using Poisson regression analysis, respiratory-related calls to a nurse advice line in Denver, Colorado were used to predict pediatric upper respiratory infection (URI) outpatient and urgent care visits. Use of electronic hospital information systems and triage software allowed for the rapid identification of respiratory-related calls and URI-related utilization. Monitoring nurse advice line call volume may help increase awareness and planning for increases in healthcare utilization.