Dataset Information

Workforce Competencies in Syndromic Surveillance Practice at Local Health Departments.

ABSTRACT: As the science and practice of syndromic surveillance (SyS) evolve, it has increasing utility for public health surveillance at the local level. Local health departments (LHDs) require specific organizational and workforce capabilities to use SyS data. In 2013, more than half of the LHDs reported using SyS, although little has been reported about LHD workforce capabilities in SyS.To conduct an assessment of self-reported knowledge and skills in SyS tasks to effectively target technical assistance to different levels of LHD need.A stratified sampling design based on LHD jurisdiction population and SyS status was employed. Data were drawn from the 2015 Biosurveillance Needs Assessment Survey, which captured variables related to LHD use of SyS, management of systems, and self-reported proficiencies in a typology of SyS functionalities developed by a workgroup of subject matter experts in SyS. Respondents were US-based LHD public health practitioners. Estimation weights were applied during analysis to determine the national representation of the responses.Respondents self-reported proficiency in 26 SyS tasks within 5 categories, analyzed by LHD jurisdiction size and respondents' years of SyS experience.SyS expertise varied widely across LHDs. Less than 50% of workers who have access to SyS demonstrated overall proficiency within any of the task areas: communication, data use, data analysis, quality monitoring and assurance, and system design and development. SyS users were strongest in data use tasks. Proficiency in SyS practice corresponded directly with respondents' years of SyS experience and the LHD jurisdiction size.SyS practitioners display a wide range of proficiencies both within and across SyS tasks. Considerable gaps in proficiencies of all areas of SyS practice indicate a need for technical assistance and knowledge dissemination to improve SyS practice as an important component of an LHD surveillance strategy.

SUBMITTER: DeVore K

PROVIDER: S-EPMC5049944 | biostudies-literature | 2016 Nov-Dec

REPOSITORIES: biostudies-literature

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Workforce Competencies in Syndromic Surveillance Practice at Local Health Departments.

DeVore Katrina K Chughtai Sarah S Kan Lilly L Streichert Laura C LC

Journal of public health management and practice : JPHMP 20161101

<h4>Context</h4>As the science and practice of syndromic surveillance (SyS) evolve, it has increasing utility for public health surveillance at the local level. Local health departments (LHDs) require specific organizational and workforce capabilities to use SyS data. In 2013, more than half of the LHDs reported using SyS, although little has been reported about LHD workforce capabilities in SyS.<h4>Objective</h4>To conduct an assessment of self-reported knowledge and skills in SyS tasks to effe ...[more]

PMID: 27684623

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Project description:ObjectiveThe United States Public Health Service released clinical practice guidelines for daily oral preexposure prophylaxis (PrEP) in May 2014. Local health departments (LHDs) are expected to play a critical role in PrEP implementation. We surveyed LHDs to assess awareness of and interest in supporting PrEP implementation, what roles they were taking, or believed they should take, in supporting PrEP, and what resources would be required to do so.MethodsLHDs were surveyed in 2015 to assess their engagement in PrEP implementation (n = 500). The study employed a cross-sectional survey design with a randomly selected stratified sample.ResultsAmong responding LHDs (n = 284), 109 (29%, weighted proportion) reported engagement in PrEP implementation. LHDs serving large jurisdictions (population 500,000+) and located in the West were more likely to be engaged in PrEP implementation. Making referrals for PrEP (74%) and conducting education and outreach to community members (51%) were the activities most frequently reported by LHDs engaged in PrEP implementation; 45% anticipated expanding their level of engagement. Among LHDs not engaged in PrEP implementation, 13% expected to become engaged over the next four years, 46% were undecided, and 41% reported it was unlikely. Information about PrEP for health care providers and information about PrEP for health department staff were the most frequently reported resource needs for LHDs engaged and not engaged in PrEP implementation, respectively.ConclusionsPrEP implementation by LHDs was limited in 2015, three years after Food and Drug Administration approval and one year after the U.S. Public Health Service issued clinical practice guidelines. PrEP is a recently available intervention that is requiring LHDs to adjust existing HIV prevention efforts and service delivery models. Additional resources and implementation research is needed to effectively support PrEP scale-up by LHDs. Efforts must also be undertaken to increase PrEP awareness, knowledge, and implementation capacity among LHDs.

Project description:BackgroundAlthough syndromic surveillance is increasingly used to detect unusual illness, there is a debate whether it is useful for detecting local outbreaks. We evaluated whether syndromic surveillance detects local outbreaks of lower-respiratory infections (LRIs) without swamping true signals by false alarms.Methods and findingsUsing retrospective hospitalization data, we simulated prospective surveillance for LRI-elevations. Between 1999-2006, a total of 290762 LRIs were included by date of hospitalization and patients place of residence (>80% coverage, 16 million population). Two large outbreaks of Legionnaires disease in the Netherlands were used as positive controls to test whether these outbreaks could have been detected as local LRI elevations. We used a space-time permutation scan statistic to detect LRI clusters. We evaluated how many LRI-clusters were detected in 1999-2006 and assessed likely causes for the cluster-signals by looking for significantly higher proportions of specific hospital discharge diagnoses (e.g. Legionnaires disease) and overlap with regional influenza elevations. We also evaluated whether the number of space-time signals can be reduced by restricting the scan statistic in space or time. In 1999-2006 the scan-statistic detected 35 local LRI clusters, representing on average 5 clusters per year. The known Legionnaires' disease outbreaks in 1999 and 2006 were detected as LRI-clusters, since cluster-signals were generated with an increased proportion of Legionnaires disease patients (p:<0.0001). 21 other clusters coincided with local influenza and/or respiratory syncytial virus activity, and 1 cluster appeared to be a data artifact. For 11 clusters no likely cause was defined, some possibly representing as yet undetected LRI-outbreaks. With restrictions on time and spatial windows the scan statistic still detected the Legionnaires' disease outbreaks, without loss of timeliness and with less signals generated in time (up to 42% decline).ConclusionsTo our knowledge this is the first study that systematically evaluates the performance of space-time syndromic surveillance with nationwide high coverage data over a longer period. The results show that syndromic surveillance can detect local LRI-outbreaks in a timely manner, independent of laboratory-based outbreak detection. Furthermore, since comparatively few new clusters per year were observed that would prompt investigation, syndromic hospital-surveillance could be a valuable tool for detection of local LRI-outbreaks.

Project description:BackgroundSentinel physician surveillance in communities has played an important role in detecting early signs of epidemics. The traditional approach is to let the primary care physician voluntarily and actively report diseases to the health department on a weekly basis. However, this is labor-intensive work, and the spatio-temporal resolution of the surveillance data is not precise at all. In this study, we built up a clinic-based enhanced sentinel surveillance system named "Sentinel plus" which was designed for sentinel clinics and community hospitals to monitor 23 kinds of syndromic groups in Taipei City, Taiwan. The definitions of those syndromic groups were based on ICD-10 diagnoses from physicians.MethodsDaily ICD-10 counts of two syndromic groups including ILI and EV-like syndromes in Taipei City were extracted from Sentinel plus. A negative binomial regression model was used to couple with lag structure functions to examine the short-term association between ICD counts and meteorological variables. After fitting the negative binomial regression model, residuals were further rescaled to Pearson residuals. We then monitored these daily standardized Pearson residuals for any aberrations from July 2018 to October 2019.ResultsThe results showed that daily average temperature was significantly negatively associated with numbers of ILI syndromes. The ozone and PM2.5 concentrations were significantly positively associated with ILI syndromes. In addition, daily minimum temperature, and the ozone and PM2.5 concentrations were significantly negatively associated with the EV-like syndromes. The aberrational signals detected from clinics for ILI and EV-like syndromes were earlier than the epidemic period based on outpatient surveillance defined by the Taiwan CDC.ConclusionsThis system not only provides warning signals to the local health department for managing the risks but also reminds medical practitioners to be vigilant toward susceptible patients. The near real-time surveillance can help decision makers evaluate their policy on a timely basis.

Dataset Information

Workforce Competencies in Syndromic Surveillance Practice at Local Health Departments.

Publications

Workforce Competencies in Syndromic Surveillance Practice at Local Health Departments.

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