A review of strategies for enhancing the completeness of notifiable disease reporting

The contribution of SARS-CoV-2 to the burden of acute respiratory infections in winter season 2022/2023: results from the DigiHero study

OBJECTIVES

In winter of 2022/2023 SARS-CoV-2 had developed into one of many seasonal respiratory pathogens, causing an additional burden of acute respiratory infections (ARIs). Although testing was still widely used, many positive tests were not reported for the official statistics. Using data from a population-based cohort, we aimed to investigate the contribution of SARS-CoV-2 to the burden of ARI.

METHODS

Over 70,000 participants of the German population-based DigiHero study were invited to a questionnaire about the number and time point of ARI and SARS-CoV-2 test results in winter 2022/2023. We calculated the incidence of non-severe acute respiratory syndrome (SARS) ARI, the additional contribution of SARS-CoV-2, and extrapolated the age-specific estimates to obtain the total burden of SARS-CoV-2 in Germany.

RESULTS

For the winter of 2022/2023, 37,708 participants reported 54,813 ARIs, including 9358 SARS-CoV-2 infections. This translated into a cumulative incidence of 145 infections/100 persons for all ARIs, 120 infections/100 persons for non-SARS ARI, and 25 infections/100 persons for SARS ARI (+21%).

CONCLUSIONS

Our estimate for ARI related to SARS-CoV-2 is consistent with the difference in all ARI between pre-pandemic years and 2022/2023. This additional burden should be considered, particularly, with respect to the implications for the work force.

Factors Influencing the Effectiveness of Adopting Electronic Medical Record-Based Reporting Systems for Notifiable Disease Surveillance: A Quantitative Analysis

The coronavirus disease 2019 (COVID-19) pandemic has led to greater attention being given to infectious disease surveillance systems and their notification functionalities. Although numerous studies have explored the benefits of integrating functionalities with electronic medical record (EMR) systems, empirical studies on the topic are rare. The current study assessed which factors influence the effectiveness of EMR-based reporting systems (EMR-RSs) for notifiable disease surveillance. This study interviewed staff from hospitals with a coverage that represented 51.39% of the notifiable disease reporting volume in Taiwan. Exact logistic regression was employed to determine which factors influenced the effectiveness of Taiwan's EMR-RS. The results revealed that the influential factors included hospitals' early participation in the EMR-RS project, frequent consultation with the information technology (IT) provider of the Taiwan Centers for Disease Control (TWCDC), and retrieval of data from at least one internal database. They also revealed that using an EMR-RS resulted in more timely, accurate, and convenient reporting in hospitals. In addition, developing by an internal IT unit instead of outsourcing EMR-RS development led to more accurate and convenient reporting. Automatically loading the required data enhanced the convenience, and designing input fields that may be unavailable in current databases to enable physicians to add data to legacy databases also boosted effectiveness of the reporting system.

Infectious Disease Underreporting Is Predicted by Country-Level Preparedness, Politics, and Pathogen Severity

Underreporting of infectious diseases is a pervasive challenge in public health that has emerged as a central issue in characterizing the dynamics of the COVID-19 pandemic. Infectious diseases are underreported for a range of reasons, including mild or asymptomatic infections, weak public health infrastructure, and government censorship. In this study, we investigated factors associated with cross-country and cross-pathogen variation in reporting. We performed a literature search to collect estimates of empirical reporting rates, calculated as the number of cases reported divided by the estimated number of true cases. This literature search yielded a dataset of reporting rates for 32 pathogens, representing 52 countries. We combined epidemiological and social science theory to identify factors specific to pathogens, country health systems, and politics that could influence empirical reporting rates. We performed generalized linear regression to test the relationship between the pathogen- and country-specific factors that we hypothesized could influence reporting rates, and the reporting rate estimates that we collected in our literature search. Pathogen- and country-specific factors were predictive of reporting rates. Deadlier pathogens and sexually transmitted diseases were more likely to be reported. Country epidemic preparedness was positively associated with reporting completeness, while countries with high levels of media bias in favor of incumbent governments were less likely to report infectious disease cases. Underreporting is a complex phenomenon that is driven by factors specific to pathogens, country health systems, and politics. In this study, we identified specific and measurable components of these broader factors that influence pathogen- and country-specific reporting rates and used model selection techniques to build a model that can guide efforts to diagnose, characterize, and reduce underreporting. Furthermore, this model can characterize uncertainty and correct for bias in reported infectious disease statistics, particularly when outbreak-specific empirical estimates of underreporting are unavailable. More precise estimates can inform control policies and improve the accuracy of infectious disease models.

Changes to Timeliness and Completeness of Infectious Disease Reporting in Texas After Implementation of an Epidemiologic Capacity Program

OBJECTIVES

The objective of this study was to characterize the changes in timeliness and completeness of disease case reporting in Texas in response to an increasing number of foodborne illnesses and high-consequence infectious disease investigations and the Texas Department of State Health Services' new state-funded epidemiologist (SFE) program.

METHODS

We extracted electronic disease case reporting data on 42 conditions from 2012 through 2016 in all local health department (LHD) jurisdictions. We analyzed data on median time for processing reports and percentage of complete reports across time and between SFE and non-SFE jurisdictions using Mann-Whitney t tests and z scores.

RESULTS

The median time of processing improved from 13 days to 10 days from 2012 to 2016, and the percentage of disease case reports that were complete improved from 19.6% to 27.7%. Most reports were for foodborne illnesses; both timeliness (11 to 7 days) and completeness (20.9% to 23.5%) improved for these reports.

CONCLUSIONS

Disease reporting improvements in timeliness and completeness were associated with the SFE program and its enhancement of epidemiologic capacity. SFEs were shown to improve surveillance metrics in LHDs, even in jurisdictions with a high volume of case reports. Adding epidemiologist positions in LHDs produces a tangible outcome of improved disease surveillance.

Improving Notifiable Disease Case Reporting Through Electronic Information Exchange-Facilitated Decision Support: A Controlled Before-and-After Trial

OBJECTIVE

Outbreak detection and disease control may be improved by simplified, semi-automated reporting of notifiable diseases to public health authorities. The objective of this study was to determine the effect of an electronic, prepopulated notifiable disease report form on case reporting rates by ambulatory care clinics to public health authorities.

METHODS

We conducted a 2-year (2012-2014) controlled before-and-after trial of a health information exchange (HIE) intervention in Indiana designed to prepopulate notifiable disease reporting forms to providers. We analyzed data collected from electronic prepopulated reports and "usual care" (paper, fax) reports submitted to a local health department for 7 conditions by using a difference-in-differences model. Primary outcomes were changes in reporting rates, completeness, and timeliness between intervention and control clinics.

RESULTS

Provider reporting rates for chlamydia and gonorrhea in intervention clinics increased significantly from 56.9% and 55.6%, respectively, during the baseline period (2012) to 66.4% and 58.3%, respectively, during the intervention period (2013-2014); they decreased from 28.8% and 27.5%, respectively, to 21.7% and 20.6%, respectively, in control clinics (P < .001). Completeness improved from baseline to intervention for 4 of 15 fields in reports from intervention clinics (P < .001), although mean completeness improved for 11 fields in both intervention and control clinics. Timeliness improved for both intervention and control clinics; however, reports from control clinics were timelier (mean, 7.9 days) than reports from intervention clinics (mean, 9.7 days).

CONCLUSIONS

Electronic, prepopulated case reporting forms integrated into providers' workflow, enabled by an HIE network, can be effective in increasing notifiable disease reporting rates and completeness of information. However, it was difficult to assess the effect of using the forms for diseases with low prevalence (eg, salmonellosis, histoplasmosis).

Secondary Use of Laboratory Data: Potentialities and Limitations

Clinical databases have been developed in recent years especially during the course of all medical concerns including laboratory results. The information produced by the diagnostic laboratories have great impact on health care system with various secondary uses. These uses are sometimes as publishing new extracted information of laboratory reports which have been widely applied in the scientific journals. Nowadays, some large scale or national databases are also formed from the integration of these data from smaller centers in the field of human health in many countries. These databases are beneficial for different stakeholders who may need this information. Unfortunately, reviewing some of these uses has indicated lots of errors in quality control, test validity, uniformity and so on. More importantly, some of the diagnostic procedures have been applied in the clinical diagnostic laboratories without even preliminary clinical evaluation studies. Therefore, any taken conclusion from these analyzed data may not be reliable. This use requires checking the several specifications that have been notified in this study. Current review also intends to show how the correct information should be to extract for the scientific reports, or integrated in large scale databases.

Global Research on Syndromic Surveillance from 1993 to 2017: Bibliometric Analysis and Visualization

Syndromic Surveillance aims at analyzing medical data to detect clusters of illness or forecast disease outbreaks. Although the research in this field is flourishing in terms of publications, an insight of the global research output has been overlooked. This paper aims at analyzing the global scientific output of the research from 1993 to 2017. To this end, the paper uses bibliometric analysis and visualization to achieve its goal. Particularly, a data processing framework was proposed based on citation datasets collected from Scopus and Clarivate Analytics’ Web of Science Core Collection (WoSCC). The bibliometric method and Citespace were used to analyze the institutions, countries, and research areas as well as the current hotspots and trends. The preprocessed dataset includes 14,680 citation records. The analysis uncovered USA, England, Canada, France and Australia as the top five most productive countries publishing about Syndromic Surveillance. On the other hand, at the Pinnacle of academic institutions are the US Centers for Disease Control and Prevention (CDC). The reference co-citation analysis uncovered the common research venues and further analysis of the keyword cooccurrence revealed the most trending topics. The findings of this research will help in enriching the field with a comprehensive view of the status and future trends of the research on Syndromic Surveillance.

Characteristics of Laws Requiring Physicians to Report Patient Information for Public Health Surveillance: Notable Patterns from a Nevada Case Study

Laws across the globe require healthcare providers to disclose patient health information to public health entities for surveillance and intervention purposes. Physicians play a unique role in such mandatory reporting regimes. However, research reveals consistent under-reporting and points to limited knowledge of mandates, perceived burdens of reporting, misaligned incentives and penalties, and a lack of streamlined processes as significant reporting barriers. These barriers suggest that how legal mandates are structured may impact compliance; yet little research systematically examines their characteristics. Law-based reporting requirements differ across jurisdictions. Thus, we conducted a case study in the U.S. State of Nevada to characterize its physician mandatory reporting laws using legal mapping methodology. Nevada is a useful case study because it has few local jurisdictions and its legislature meets biennially. First, we searched key terms to find relevant state mandates and screened them using inclusion criteria. We then scanned near included provisions for additional requirements and incorporated requirements known a priori. We also searched relevant local regulations. Next, we analyzed all included provisions. Our findings indicate wide, intra-jurisdictional variation in reporting requirements across conditions. Variability extends to physician discretion, information reported, timing, recipient agencies, reporting processes, and implications of non-compliance. Local-level variation adds further complexity. Some relevant state requirements apply only to physicians and nearly one-third were absent from our searches. Our findings support exploring the hypothesis that reporting requirements' characteristics may impact compliance and call for empirically testing such relationships to enhance compliance and public health surveillance and intervention efforts.

Leveraging public health's participation in a Health Information Exchange to improve communicable disease reporting

BACKGROUND

Infectious diseases can appear and spread rapidly. Timely information about disease patterns and trends allows public health agencies to quickly investigate and efficiently contain those diseases. But disease case reporting to public health has traditionally been paper-based, resulting in somewhat slow, burdensome processes. Fortunately, the expanding use of electronic health records and health information exchanges has created opportunities for more rapid, complete, and easily managed case reporting and investigation. To assess how this new service might impact the efficiency and quality of a public health agency's case investigations, we compared the timeliness of usual case investigation to that of case investigations based on case report forms that were partially pre-populated with electronic data.

INTERVENTION

Between September 2013-March 2014, chlamydia disease report forms for certain clinics in Indianapolis were electronically pre-populated with clinical, lab and patient data available through the Indiana Health Information Exchange, then provided to the patient’s doctor. Doctors could then sign the form and deliver it to public health for investigation and population-level disease tracking. Methods: We utilized a novel matched case analysis of timeliness changes in receipt and processing of communicable disease report forms. Each Chlamydia cases reported with the pre-populated form were matched to cases reported in usual ways. We assessed the time from receipt of the case at the public health agency: 1) inclusion of the case into the public health surveillance system and 2) to close to case. A hierarchical random effects model was used to compare mean difference in each outcome between the target cases and the matched cases, with random intercepts for case.

RESULTS

Twenty-one Chlamydia cases were reported to the public health agency using the pre-populated form. Sixteen of these pre-populated form cases were matched to at least one other case, with a mean of 23 matches per case. The mean Reporting Lag for the pre-populated form cases was 2.5 days, which was 2.7 days shorter than the mean Reporting Lag for the matched controls (p = <0.001). The mean time to close a pre-populated form case was 4.7 days, which was 0.2 days shorter than time to close for the matched controls (p = 0.792).

CONCLUSIONS

Use of pre-populated forms significantly decreased the time it took for the local public health agency to begin documenting and closing chlamydia case investigations. Thoughtful use of electronic health data for case reporting may decrease the per-case workload of public health agencies, and improve the timeliness of information about the pattern and spread of disease.

Summary of Notifiable Infectious Diseases and Conditions - United States, 2015

The Summary of Notifiable Infectious Diseases and Conditions - United States, 2015 (hereafter referred to as the summary) contains the official statistics, in tabular and graphical form, for the reported occurrence of nationally notifiable infectious diseases and conditions in the United States for 2015. Unless otherwise noted, data are final totals for 2015 reported as of June 30, 2016. These statistics are collected and compiled from reports sent by U.S. state and territories, New York City, and District of Columbia health departments to the National Notifiable Diseases Surveillance System (NNDSS), which is operated by CDC in collaboration with the Council of State and Territorial Epidemiologists (CSTE). This summary is available at https://www.cdc.gov/MMWR/MMWR_nd/index.html. This site also includes summary publications from previous years.

Using an Emergency Department Syndromic Surveillance System to Evaluate Reporting of Potential Rabies Exposures, Illinois, 2013-2015

OBJECTIVES

Mandatory reporting of potential rabies exposures and initiation of postexposure prophylaxis (PEP) allow local health authorities to monitor PEP administration for errors. Our objectives were to use an emergency department (ED) syndromic surveillance system to (1) estimate reporting compliance for exposure to rabies in suburban Cook County, Illinois, and (2) initiate interventions to improve reporting and reassess compliance.

METHODS

We queried ED records from 45 acute care hospitals in Cook County and surrounding areas from January 1, 2013, through June 30, 2015, for chief complaints or discharge diagnoses pertaining to rabies, PEP, or contact with a wild mammal (eg, bat, raccoon, skunk, fox, or coyote). We matched patients with ≥1 ED visit for potential rabies exposure to people with potential rabies exposure reported to the Cook County Department of Public Health. We considered nonmatches to have unreported exposures. We then initiated active surveillance in July 2015, disseminated education on reporting requirements in August and September 2015, and reassessed reporting completeness from July 2015 through February 2016.

RESULTS

Of 248 patients with rabies-related ED visits from January 2013 through June 2015, 63 (25.4%) were reported. After interventions were implemented to increase reporting compliance, 53 of 98 (54.1%) patients with rabies-related ED visits from July 2015 through February 2016 were reported. Patients with ED visits for potential rabies exposure were twice as likely to be reported postintervention than preintervention (risk ratio = 2.1; 95% CI, 1.6-2.8). The volume of potential rabies exposure cases reported to the health department from July 2015 through February 2016 increased by 252% versus the previous year.

CONCLUSIONS

Potential rabies exposures and PEP initiation are underreported in suburban Cook County. ED syndromic surveillance records can be used to estimate reporting compliance and conduct active surveillance.

Completeness and timeliness of notifiable disease reporting: a comparison of laboratory and provider reports submitted to a large county health department

Background

Most public health agencies expect reporting of diseases to be initiated by hospital, laboratory or clinic staff even though so-called passive approaches are known to be burdensome for reporters and produce incomplete as well as delayed reports, which can hinder assessment of disease and delay recognition of outbreaks. In this study, we analyze patterns of reporting as well as data completeness and timeliness for traditional, passive reporting of notifiable disease by two distinct sources of information: hospital and clinic staff versus clinical laboratory staff. Reports were submitted via fax machine as well as electronic health information exchange interfaces.

Methods

Data were extracted from all submitted notifiable disease reports for seven representative diseases. Reporting rates are the proportion of known cases having a corresponding case report from a provider, a faxed laboratory report or an electronic laboratory report. Reporting rates were stratified by disease and compared using McNemar’s test. For key data fields on the reports, completeness was calculated as the proportion of non-blank fields. Timeliness was measured as the difference between date of laboratory confirmed diagnosis and the date the report was received by the health department. Differences in completeness and timeliness by data source were evaluated using a generalized linear model with Pearson’s goodness of fit statistic.

Results

We assessed 13,269 reports representing 9034 unique cases. Reporting rates varied by disease with overall rates of 19.1% for providers and 84.4% for laboratories (p < 0.001). All but three of 15 data fields in provider reports were more often complete than those fields within laboratory reports (p <0.001). Laboratory reports, whether faxed or electronically sent, were received, on average, 2.2 days after diagnosis versus a week for provider reports (p <0.001).

Conclusions

Despite growth in the use of electronic methods to enhance notifiable disease reporting, there still exists much room for improvement.

Engaging the private sector in malaria surveillance: a review of strategies and recommendations for elimination settings

BACKGROUND

In malaria elimination settings, all malaria cases must be identified, documented and investigated. To facilitate complete and timely reporting of all malaria cases and effective case management and follow-up, engagement with private providers is essential, particularly in settings where the private sector is a major source of healthcare. However, research on the role and performance of the private sector in malaria diagnosis, case management and reporting in malaria elimination settings is limited. Moreover, the most effective strategies for private sector engagement in malaria elimination settings remain unclear.

METHODS

Twenty-five experts in malaria elimination, disease surveillance and private sector engagement were purposively sampled and interviewed. An extensive review of grey and peer-reviewed literature on private sector testing, treatment, and reporting for malaria was performed. Additional in-depth literature review was conducted for six case studies on eliminating and neighbouring countries in Southeast Asia and Southern Africa.

RESULTS

The private health sector can be categorized based on their commercial orientation or business model (for-profit versus nonprofit) and their regulation status within a country (formal vs informal). A number of potentially effective strategies exist for engaging the private sector. Conducting a baseline assessment of the private sector is critical to understanding its composition, size, geographical distribution and quality of services provided. Facilitating reporting, referral and training linkages between the public and private sectors and making malaria a notifiable disease are important strategies to improve private sector involvement in malaria surveillance. Financial incentives for uptake of rapid diagnostic tests and artemisinin-based combination therapy should be combined with training and community awareness campaigns for improving uptake. Private sector providers can also be organized and better engaged through social franchising, effective regulation, professional organizations and government outreach.

CONCLUSION

This review highlights the importance of engaging private sector stakeholders early and often in the development of malaria elimination strategies.

Use of Death Records to Augment Notifiable Conditions Reporting in Washington State

CONTEXT

Health care providers are required to report newly diagnosed notifiable conditions including the case's vital status according to state regulations, but it is uncertain how many cases remain unreported. Death certificates could potentially serve as a data source for detecting unreported deaths due to notifiable conditions.

OBJECTIVE

We sought to evaluate the usefulness of electronic death records to augment notifiable conditions reporting in Washington State.

DESIGN

Cross-sectional study.

SETTING

All residents of Washington State.

PARTICIPANTS

Decedents from 2010-2012.

MAIN OUTCOME MEASURES

Total number of fatal cases of acute infectious notifiable conditions in Washington residents estimated by capture-recapture analysis, proportion of estimated fatal cases reported to Washington's notifiable conditions database (Public Health Issue Management System [PHIMS]), and the proportion of estimated fatal cases identified solely from the death records. Information was obtained by searching multiple cause-of death fields on 2010-2012 death records for keywords for acute infectious notifiable conditions.

RESULTS

Capture-recapture analysis estimated 317 fatal cases of these conditions could be expected over the 3 years studied (95% CI: 276,358). Public Health Issue Management System alone identified 38% of total estimated cases; using PHIMS and death record data increased identification to 71%. Electronic filing of death records was very timely, with a median of 4 days to visibility. Death record data were highly complete.

CONCLUSIONS

Use of death records will augment the notifiable condition reporting system and potentially improve mortality estimates and disease control.

Notifiable condition reporting practices: implications for public health agency participation in a health information exchange

Background

The future of notifiable condition reporting in the United States is undergoing a transformation with the increasing development of Health Information Exchanges which support electronic data-sharing and -transfer networks and the wider adoption of electronic laboratory reporting. Communicable disease report forms originating in clinics are an important source of surveillance data for public health agencies. However, problems of poor data quality and delayed submission of reports to public health agencies are common. In addition, studies of barriers and facilitators to reporting have assumed that the primary reporter is the treating physician, although the extent to which a provider is involved in the reporting workflow is unclear. We sought to better understand the barriers to and burden of notifiable condition reporting from the perspectives of the three primary groups involved in reporting workflow: providers, clinic staff who bear the principal responsibility for reporting, and the public health workers who receive and process reports from clinics. In addition, we sought to situate these findings within the context of the future of notifiable disease reporting and the potential impacts of electronic lab and medical records on the surveillance system.

Methods

Seven ambulatory care clinics and 3 public health agencies that are part of a Health Information Exchange in the state of Indiana, USA, participated in the study. Data were obtained from a survey of clinic physicians (N = 29), interviews with clinic reporters (N = 11), and interviews with public health workers (N = 9). Survey data were summarized descriptively and interview transcripts underwent qualitative analysis.

Results

In both clinics and public health agencies, the laboratory report initiates reporting workflow. Provider involvement with reporting primarily revolves around ordering medications to treat a condition confirmed by the lab result. In clinics, reporting is typically the responsibility of clinic reporters who vary in frequency of reporting. We found an association between frequency of reporting, reporting knowledge and perceptions of reporting burden. In both clinics and public health agencies, interruptions and delays in reporting workflow are encountered due to inaccurate or missing information and impact reporting timeliness, data quality and report completeness. Both providers and clinic reporters lack clarity regarding how data submitted by their reports are used by public health agencies. It is possible that the value of reporting may be diminished when those responsible do not perceive receiving benefit in return. This may account for the low awareness of or recollection of public health communications with clinics that we observed. Despite the high likelihood that public health advisories and guidance are based, in part, on data submitted by clinics, a direct concordance may not be recognized.

Conclusions

Unlike most studies of notifiable condition reporting, this study included the clinic reporters who bear primary responsibility for completing and submitting reports to public health agencies. A primary barrier to this reporting is timely and easy access to data. It is possible that expanded adoption of electronic health record and laboratory reporting systems will improve access to this data and reduce reporting the burden. However, a complete reliance on automatic electronic extraction of data requires caution and necessitates continued interfacing with clinic reporters for the foreseeable future—particularly for notifiable conditions that are high-impact, uncommon, prone to false positive readings by labs, or are hard to verify. An important finding of this study is the association between frequency of reporting, reporting knowledge and perceptions of reporting burden. Increased automation could result in even lower reporting knowledge and familiarity with reporting requirements which could actually increase reporters’ perception of notifiable condition reporting as burdensome. Another finding was of uncertainty regarding how data sent to public health agencies is used or provides clinical benefit. A strong recommendation generated by these findings is that, given their central role in reporting, clinic reporters are a significant target audience for public health outreach and education that aims to alleviate perceived reporting burden and improve reporting knowledge. In particular, communicating the benefits of public health’s use of the data may reduce a perceived lack of information reciprocity between clinical and public health organizations.

Electronic supplementary material

The online version of this article (doi:10.1186/s12889-017-4156-4) contains supplementary material, which is available to authorized users.

Completeness of reporting of race and ethnicity data in the nationally notifiable diseases surveillance system, United States, 2006-2010

CONTEXT

During 1994-1997, approximately 70% and 60% of the cases of conditions reported to the National Notifiable Diseases Surveillance System included persons of known race and ethnicity, respectively. A major goal of the Healthy People 2020 initiative is to eliminate health disparities.

OBJECTIVE

To describe trends in the completeness of race and ethnicity in case reports of the National Notifiable Diseases Surveillance System during 2006-2010.

METHODS

The National Notifiable Diseases Surveillance System is a public health surveillance system that aggregates case reports of infectious diseases and conditions that are designated nationally notifiable and are collected by US states and territories. The Centers for Disease Control and Prevention (Atlanta, Georgia) maintains this surveillance system in collaboration with the Council of State and Territorial Epidemiologists. We used Cochran-Armitage Trend Test (SAS, version 9.2) to test the hypothesis that the percentage of case reports with the completeness of race and ethnicity data increased or decreased linearly during 2006-2010.

MAIN OUTCOME MEASURE

Completeness of race and ethnicity variables.

RESULTS

The 32 conditions reviewed included 1 030 804 case records. Seventy percent of records included a known value for race, and 49% of records included ethnicity during 2006-2010. During 2006-2010, race was known in 70% or more of records in 24 of 32 conditions and in 23 of 51 jurisdictions. During 2006-2010, the systemwide reporting of race remained at the same level of completeness (70%) but the reporting of ethnicity increased slightly from 48% in 2006 to 53% in 2010. In comparison with race, the proportions of records coded to ethnicity were less among all conditions.

CONCLUSIONS

Significant change has occurred in the completeness of reporting of ethnicity but not race during 2006-2010. However, the reporting of ethnicity still lags substantially behind the reporting of race. Jurisdictions that identify conditions with lower rates of completeness of race and ethnicity can assess the net benefits of efforts to improve the completeness of race and ethnicity data.

The Role of Clinical Virology Laboratory and the Clinical Virology Laboratorian in Ensuring Effective Surveillance for Influenza and Other Respiratory Viruses: Points to Consider and Pitfalls to Avoid

Influenza and respiratory viruses have a global impact on public health. Clinical virology laboratories and laboratorians play an important role in not only the diagnosis but also the surveillance of these pathogens. Surveillance for influenza and other respiratory pathogens is important, as it informs public health decision making in terms of influenza vaccine and antiviral effectiveness, informs clinicians and public health practitioners about the pathogenicity of specific viral strains, guides clinical practice, and supports laboratory panning activities. Key background issues include the following: the fact that the laboratory is only one of several data providers to a surveillance system, the biologic nature of influenza and respiratory viruses and the laboratory needs to keep up to date on the diagnosis of these agents, the need for laboratorians to be involved in case definition development, the impact of push and pull data flow models on laboratory resources, and the fact that laboratories may be asked to provide more than just test results to surveillance programs. This review also identifies some key issues or questions that arise during the pre-analytic, analytic, and post-analytic phases that could impact on the ability of the laboratory to link to surveillance programs. Finally, issues surrounding virus characterization programs and how they link to surveillance programs are identified and discussed.

Influenza vaccine effectiveness in preventing hospitalizations with laboratory-confirmed influenza in Greece during the 2014-2015 season: A test-negative study

The 2014-2015 influenza season was marked by circulation of antigenically drifted A/H3N2 strains, raising the possibility of low seasonal influenza Vaccine Effectiveness (VE). We assessed VE against hospitalization with laboratory-confirmed influenza for the 2014-2015 season, using routine surveillance data. Non-sentinel swab samples from Greek hospital inpatients were tested for influenza by RT-PCR in three laboratories, covering the entire country. We estimated VE using a test-negative design. Out of 883 patients with known vaccination status, 161 (18.2%) were vaccinated, and 392/883 patients (44.4%) tested positive for influenza, of whom 162 (41.3%) had type B and 151 (38.5%) had A/H3N2. Adjusted VE was 31.6% (95%CI: 2.9-51.8%) against any influenza, 46.8%, 95%CI: 12.5-67.6%) against type B and -1.9%, 95%CI: -69.5 to 38.7%) against A/H3N2. VE against non-ICU hospitalization appeared to be higher, but the difference did not reach statistical significance. Circulating A/H3N2 viruses showed substantial antigenic drift, while about half of the type B strains were similar to the vaccine strain. Despite the antigenic drift of the A/H3N2 strains, the vaccine still offered substantial protection against hospitalization with laboratory-confirmed influenza, mostly due to a surge in type B influenza late in the season. Vaccine coverage was low, even among groups targeted for vaccination, and considerable effort should be made to improve it. J. Med. Virol. 88:1896-1904, 2016. © 2016 Wiley Periodicals, Inc.

Evaluation of tuberculosis public health surveillance, Al-Madinah province, Kingdom of Saudi Arabia, 2012

The objective of the study is to evaluate the quality of the data, the sensitivity of the surveillance, and the completeness of identification and investigation of tuberculosis (TB) patient's contacts. The study covered the TB surveillance program in Al-Madinah province in 2011. First, we reviewed all the notifications, treatment cards, and register books, as well as monthly and quarterly reports, for completeness and accuracy of data. Then, we searched for the missed cases that were not reported. Finally, we reviewed all the patients' household contacts' reports to assess the degree of completion of identification and investigation. There were 444 cases detected during the study period; only 200 cases were reported. The sensitivity of the TB surveillance system was 45%. Among the 200 reported cases, the results revealed high completeness rates for demographic and disease data and low completeness rates for the test result fields. The contact identification and investigation showed that 34.4% of smear-positive cases' contacts were not identified. Only 67% of identified contacts were investigated. The review of hospital records and lab registers showed that 244 cases were not reported. In conclusion, the TB surveillance system has several areas that need improvement.

Epidemiological Trend and Clinical Observations among Children and Adults with Dengue in Barbados

OBJECTIVE

To describe the epidemiological characteristics and the clinical manifestations of the confirmed dengue cases over a ten-year period in Barbados, one of the English-speaking Caribbean countries.

METHODS

All the cases of confirmed dengue from 2000 to 2009 were retrospectively studied. Long-term trends in incidence rate, demographic characteristics such as age, gender and seasonal distribution; clinical manifestations, immunological characteristics, need for hospitalization and mortality were studied.

RESULTS

There were 3413 confirmed cases of dengue including 778 (22.8%) children and 2635 (77.2%) adults. The mean annual incidence rate of dengue was 1.36/1000 population. The median age of the persons with confirmed dengue was 27 years. The largest number of cases was seen in the 11 to 16-year age group. Hospitalization was required in 13.1% of dengue cases; 72.5% and 84% of all dengue were secondary infections among the children and adults, respectively. Dengue haemorrhagic fever accounted for 2.2% and 6% of all confirmed dengue among children and adults, respectively. The overall case fatality rate in this study was 0.35%.

CONCLUSIONS

Dengue is a significant health problem primarily in adolescents and young adults. It is characterized by less severe cases and lower mortality rate.

Uses of electronic health records for public health surveillance to advance public health

Public health surveillance conducted by health departments in the United States has improved in completeness and timeliness owing to electronic laboratory reporting. However, the collection of detailed clinical information about reported cases, which is necessary to confirm the diagnosis, to understand transmission, or to determine disease-related risk factors, is still heavily dependent on manual processes. The increasing prevalence and functionality of electronic health record (EHR) systems in the United States present important opportunities to advance public health surveillance. EHR data have the potential to further increase the breadth, detail, timeliness, and completeness of public health surveillance and thereby provide better data to guide public health interventions. EHRs also provide a unique opportunity to expand the role and vision of current surveillance efforts and to help bridge the gap between public health practice and clinical medicine.

Leveraging health information exchange to improve population health reporting processes: lessons in using a collaborative-participatory design process

Introduction:

Surveillance, or the systematic monitoring of disease within a population, is a cornerstone function of public health. Despite significant investment in information technologies (IT) to improve the public’s health, health care providers continue to rely on manual, spontaneous reporting processes that can result in incomplete and delayed surveillance activities.

Background:

Participatory design principles advocate including real users and stakeholders when designing an information system to ensure high ecological validity of the product, incorporate relevance and context into the design, reduce misconceptions designers can make due to insufficient domain expertise, and ultimately reduce barriers to adoption of the system. This paper focuses on the collaborative and informal participatory design process used to develop enhanced, IT-enabled reporting processes that leverage available electronic health records in a health information exchange to prepopulate notifiable-conditions report forms used by public health authorities.

Methods:

Over nine months, public health stakeholders, technical staff, and informatics researchers were engaged in a multiphase participatory design process that included public health stakeholder focus groups, investigator-engineering team meetings, public health survey and census regarding high-priority data elements, and codesign of exploratory prototypes and final form mock-ups.

Findings:

A number of state-mandated report fields that are not highly used or desirable for disease investigation were eliminated, which allowed engineers to repurpose form space for desired and high-priority data elements and improve the usability of the forms. Our participatory design process ensured that IT development was driven by end user expertise and needs, resulting in significant improvements to the layout and functionality of the reporting forms.

Discussion:

In addition to informing report form development, engaging with public health end users and stakeholders through the participatory design process provided new insights into public health workflow and allowed the team to quickly triage user requests while managing user expectations within the realm of engineering possibilities.

Conclusion:

Engaging public health, engineering staff, and investigators in a shared codesigning process ensured that the new forms will not only meet real-life needs but will also support development of a product that will be adopted and, ultimately, improve communicable and infectious disease reporting by clinicians to public health.

Estimating the burden of pertussis in young children on hospitals and emergency departments: a study using linked routinely collected data

Potential underestimation of the health system burden of pertussis was investigated by linking administrative datasets including pertussis notifications, hospitalizations and emergency department (ED) presentations for 1 304 876 children aged <15 years in NSW, Australia. From 2005 to 2008, 3006 children had a pertussis notification, 455 were hospitalized and 644 had an ED presentation with a coded diagnosis of pertussis. Linking hospital and ED records with pertussis notifications identified 140 hospitalizations and 735 ED presentations which occurred ± 7 days from notification but did not have a diagnosis of pertussis recorded. These additional events were more likely to have a diagnosis of bronchiolitis, upper respiratory infection and cough compared to all other admissions and presentations. Including these additional events significantly increased the proportion of notified cases that were hospitalized or visited EDs, particularly for those aged 5 to <15 years. Linked administrative data allowed more comprehensive estimation of the health system burden of pertussis.

Towards public health decision support: a systematic review of bidirectional communication approaches

OBJECTIVE

To summarize the literature describing computer-based interventions aimed at improving bidirectional communication between clinical and public health.

MATERIALS AND METHODS

A systematic review of English articles using MEDLINE and Google Scholar. Search terms included public health, epidemiology, electronic health records, decision support, expert systems, and decision-making. Only articles that described the communication of information regarding emerging health threats from public health agencies to clinicians or provider organizations were included. Each article was independently reviewed by two authors.

RESULTS

Ten peer-reviewed articles highlight a nascent but promising area of research and practice related to alerting clinicians about emerging threats. Current literature suggests that additional research and development in bidirectional communication infrastructure should focus on defining a coherent architecture, improving interoperability, establishing clear governance, and creating usable systems that will effectively deliver targeted, specific information to clinicians in support of patient and population decision-making.

CONCLUSIONS

Increasingly available clinical information systems make it possible to deliver timely, relevant knowledge to frontline clinicians in support of population health. Future work should focus on developing a flexible, interoperable infrastructure for bidirectional communications capable of integrating public health knowledge into clinical systems and workflows.

Scenarios, personas and user stories: user-centered evidence-based design representations of communicable disease investigations

PURPOSE

Despite years of effort and millions of dollars spent to create unified electronic communicable disease reporting systems, the goal remains elusive. A major barrier has been a lack of understanding by system designers of communicable disease (CD) work and the public health workers who perform this work. This study reports on the application of user-centered design representations, traditionally used for improving interface design, to translate the complex CD work identified through ethnographic studies to guide designers and developers of CD systems. The purpose of this work is to: (1) better understand public health practitioners and their information workflow with respect to CD monitoring and control at a local health agency, and (2) to develop evidence-based design representations that model this CD work to inform the design of future disease surveillance systems.

METHODS

We performed extensive onsite semi-structured interviews, targeted work shadowing and a focus group to characterize local health agency CD workflow. Informed by principles of design ethnography and user-centered design we created persona, scenarios and user stories to accurately represent the user to system designers.

RESULTS

We sought to convey to designers the key findings from ethnographic studies: (1) public health CD work is mobile and episodic, in contrast to current CD reporting systems, which are stationary and fixed, (2) health agency efforts are focused on CD investigation and response rather than reporting and (3) current CD information systems must conform to public health workflow to ensure their usefulness. In an effort to illustrate our findings to designers, we developed three contemporary design-support representations: persona, scenario, and user story.

CONCLUSIONS

Through application of user-centered design principles, we were able to create design representations that illustrate complex public health communicable disease workflow and key user characteristics to inform the design of CD information systems for public health.

Disease reporting among Georgia physicians and laboratories

Opportunities for improved disease reporting are identified by describing physicians' reporting knowledge and practices as well as reporting knowledge and specimen referral patterns among clinical laboratories in the state of Georgia. In 2005, a sample of physicians(n = 177) and all Georgia clinical laboratories (n = 139) were surveyed about reporting knowledge and practices. Knowledge was greater among physicians who received their medical degree before 1980 (P = .04), accessed e-mail (P< .01), used the Internet to obtain public health information (P < .01), and reported frequently (P= .06). Increased knowledge was not associated with training in reporting (P = .14). Physicians were often unaware of reporting procedures and mechanisms and often did not report because they believed others would report (52%). Laboratory representatives (56%) more often received training on disease reporting than physicians (32%). All laboratories sent some specimens for diagnostic testing at reference laboratories and 35% sent the specimens outside of Georgia. Physicians'characteristics may affect reporting knowledge independent of training on disease reporting, and increased knowledge is associated with increased reporting. Investigation of physician characteristics that contribute to improved reporting, such as an active engagement with public health, could help to guide changes to reporting-related training and technology. Reporting by other health care providers and physicians' perceptions that others will report both indicate that studies of all reporting stakeholders and clear delineation of reporting responsibilities are needed. Extensive specimen referral by laboratories suggests the need for coordination of reporting regulations and responsibilities beyond local boundaries.

Monitoring data quality in syndromic surveillance: learnings from a resource limited setting

Background:

India is in the process of integrating all disease surveillance systems with the support of a World Bank funded program called the Integrated Disease Surveillance System. In this context the objective of the study was to evaluate the components of the Orissa Multi Disease Surveillance System.

Materials and Methods:

Multistage sampling was carried out, starting with four districts, followed by sequentially sampling two blocks; and in each block, two sectors and two health sub-centers were selected, all based on the best and worst performances. Two study instruments were developed for data validation, for assessing the components of the surveillance and diagnostic algorithm. The Organizational Ethics Group reviewed and approved the study.

Results:

In all 178 study subjects participated in the survey. The case definition of suspected meningitis in disease surveillance was found to be difficult, with only 29.94%, who could be correctly identified. Syndromic diagnosis following the diagnostic algorithm was difficult for suspected malaria (28.1%), ‘unusual syndrome’ (28.1%), and simple diarrhea (62%). Only 17% could correctly answer questions on follow-up cases, but only 50% prioritized diseases. Our study showed that 54% cross-checked the data before compilation. Many (22%) faltered on timeliness even during emergencies. The constraints identified were logistics (56%) and telecommunication (41%). The reason for participation in surveillance was job responsibility (34.83%).

Conclusions:

Most of the deficiencies arose from human errors when carrying out day-to-day processes of surveillance activities, hence, should be improved by retraining. Enhanced laboratory support and electronic transmission would improve data quality and timeliness. Validity of some of the case definitions need to be rechecked. Training Programs should focus on motivating the surveillance personnel.

Willingness to share personal health record data for care improvement and public health: a survey of experienced personal health record users

BACKGROUND

Data stored in personally controlled health records (PCHRs) may hold value for clinicians and public health entities, if patients and their families will share them. We sought to characterize consumer willingness and unwillingness (reticence) to share PCHR data across health topics, and with different stakeholders, to advance understanding of this issue.

METHODS

Cross-sectional 2009 Web survey of repeat PCHR users who were patients over 18 years old or parents of patients, to assess willingness to share their PCHR data with an-out-of-hospital provider to support care, and the state/local public health authority to support monitoring; the odds of reticence to share PCHR information about ten exemplary health topics were estimated using a repeated measures approach.

RESULTS

Of 261 respondents (56% response rate), more reported they would share all information with the state/local public health authority (63.3%) than with an out-of-hospital provider (54.1%) (OR 1.5, 95% CI 1.1, 1.9; p = .005); few would not share any information with these parties (respectively, 7.9% and 5.2%). For public health sharing, reticence was higher for most topics compared to contagious illness (ORs 4.9 to 1.4, all p-values < .05), and reflected concern about anonymity (47.2%), government insensitivity (41.5%), discrimination (24%). For provider sharing, reticence was higher for all topics compared to contagious illness (ORs 6.3 to 1.5, all p-values < .05), and reflected concern for relevance (52%), disclosure to insurance (47.6%) and/or family (20.5%).

CONCLUSIONS

Pediatric patients and their families are often willing to share electronic health information to support health improvement, but remain cautious. Robust trust models for PCHR sharing are needed.

Improving Access to HIV and AIDS Information Resources for Patients, Caregivers, and Clinicians: Results from the SHINE Project

BACKGROUND

Human immunodeficiency virus and acquired immunodeficiency syndrome (HIV/AIDS) remains a significant international public health challenge. The Statewide HIV/AIDS Information Network (SHINE) Project was created to improve HIV/AIDS health information use and access for health care professionals, patients, and affected communities in Indiana.

OBJECTIVE

Our objective was to assess the information-seeking behaviors of health care professionals and consumers who seek information on the testing, treatment, and management of HIV/AIDS and the usability of the SHINE Project's resources in meeting end user needs. The feedback was designed to help SHINE Project members improve and expand the SHINE Project's online resources.

METHODS

A convenience sample of health care professionals and consumers participated in a usability study. Participants were asked to complete typical HIV/AIDS information-seeking tasks using the SHINE Project website. Feedback was provided in the form of standardized questionnaire and usability "think-aloud" responses.

RESULTS

Thirteen participants took part in the usability study. Clinicians generally reported the site to be "very good," while consumers generally found it to be "good." Health care professionals commented that they lack access to comprehensive resources for treating patients with HIV/AIDS. They requested new electronic resources that could be integrated in clinical practice and existing information technology infrastructures. Consumers found the SHINE website and its collected information resources overwhelming and difficult to navigate. They requested simpler, multimedia-content rich resources to deliver information on HIV/AIDS testing, treatment, and disease management.

CONCLUSIONS

Accessibility, usability, and user education remain important challenges that public health and information specialists must address when developing and deploying interventions intended to empower consumers and support coordinated, patient-centric care.

Evaluation of knowledge resources for public health reporting logic: Implications for knowledge authoring and management

To control disease, laboratories and providers are required to report conditions to public health authorities. Reporting logic is defined in a variety of resources, but there is no single resource available for reporters to access the list of reportable events and computable reporting logic for any jurisdiction. In order to develop evidence-based requirements for authoring such knowledge, we evaluated reporting logic in the Council of State and Territorial Epidemiologist (CSTE) position statements to assess its readiness for automated systems and identify features that should be considered when designing an authoring interface; we evaluated codes in the Reportable Condition Mapping Tables (RCMT) relative to the nationally-defined reporting logic, and described the high level business processes and knowledge required to support laboratory-based public health reporting. We focused on logic for viral hepatitis. We found that CSTE tabular logic was unnecessarily complex (sufficient conditions superseded necessary and optional conditions) and was sometimes true for more than one reportable event: we uncovered major overlap in the logic between acute and chronic hepatitis B (52%), acute and Past and Present hepatitis C (90%). We found that the RCMT includes codes for all hepatitis criteria, but includes addition codes for tests not included in the criteria. The proportion of hepatitis variant-related codes included in RCMT that correspond to a criterion in the hepatitis-related position statements varied between hepatitis A (36%), acute hepatitis B (16%), chronic hepatitis B (64%), acute hepatitis C (96%), and past and present hepatitis C (96%). Public health epidemiologists have the need to communicate parameters other than just the name of a disease or organism that should be reported, such as the status and specimen sources. Existing knowledge resources should be integrated, harmonized and made computable. Our findings identified functionality that should be provided by future knowledge management systems to support epidemiologists as they communicate reporting rules for their jurisdiction.

Detection of events of public health importance under the international health regulations: a toolkit to improve reporting of unusual events by frontline healthcare workers

BACKGROUND

The International Health Regulations (IHR (2005)) require countries to notify WHO of any event which may constitute a public health emergency of international concern. This notification relies on reports of events occurring at the local level reaching the national public health authorities. By June 2012 WHO member states are expected to have implemented the capacity to "detect events involving disease or death above expected levels for the particular time and place" on the local level and report essential information to the appropriate level of public health authority. Our objective was to develop tools to assist European countries improve the reporting of unusual events of public health significance from frontline healthcare workers to public health authorities.

METHODS

We investigated obstacles and incentives to event reporting through a systematic literature review and expert consultations with national public health officials from various European countries. Multi-day expert meetings and qualitative interviews were used to gather experiences and examples of public health event reporting. Feedback on specific components of the toolkit was collected from healthcare workers and public health officials throughout the design process.

RESULTS

Evidence from 79 scientific publications, two multi-day expert meetings and seven qualitative interviews stressed the need to clarify concepts and expectations around event reporting in European countries between the frontline and public health authorities. An analytical framework based on three priority areas for improved event reporting (professional engagement, communication and infrastructure) was developed and guided the development of the various tools. We developed a toolkit adaptable to country-specific needs that includes a guidance document for IHR National Focal Points and nine tool templates targeted at clinicians and laboratory staff: five awareness campaign tools, three education and training tools, and an implementation plan. The toolkit emphasizes what to report, the reporting process and the need for follow-up, supported by real examples.

CONCLUSION

This toolkit addresses the importance of mutual exchange of information between frontline healthcare workers and public health authorities. It may potentially increase frontline healthcare workers' awareness of their role in the detection of events of public health concern, improve communication channels and contribute to creating an enabling environment for event reporting. However, the effectiveness of the toolkit will depend on the national body responsible for dissemination and training.

Analysis of timeliness of infectious disease reporting in the Netherlands

Background

Timely reporting of infectious disease cases to public health authorities is essential to effective public health response. To evaluate the timeliness of reporting to the Dutch Municipal Health Services (MHS), we used as quantitative measures the intervals between onset of symptoms and MHS notification, and between laboratory diagnosis and notification with regard to six notifiable diseases.

Methods

We retrieved reporting data from June 2003 to December 2008 from the Dutch national notification system for shigellosis, EHEC/STEC infection, typhoid fever, measles, meningococcal disease, and hepatitis A virus (HAV) infection. For each disease, median intervals between date of onset and MHS notification were calculated and compared with the median incubation period. The median interval between date of laboratory diagnosis and MHS notification was similarly analysed. For the year 2008, we also investigated whether timeliness is improved by MHS agreements with physicians and laboratories that allow direct laboratory reporting. Finally, we investigated whether reports made by post, fax, or e-mail were more timely.

Results

The percentage of infectious diseases reported within one incubation period varied widely, between 0.4% for shigellosis and 90.3% for HAV infection. Not reported within two incubation periods were 97.1% of shigellosis cases, 76.2% of cases of EHEC/STEC infection, 13.3% of meningococcosis cases, 15.7% of measles cases, and 29.7% of typhoid fever cases. A substantial percentage of infectious disease cases was reported more than three days after laboratory diagnosis, varying between 12% for meningococcosis and 42% for shigellosis. MHS which had agreements with physicians and laboratories showed a significantly shorter notification time compared to MHS without such agreements.

Conclusions

Over the study period, many cases of the six notifiable diseases were not reported within two incubation periods, and many were reported more than three days after laboratory diagnosis. An increase in direct laboratory reporting of diagnoses to MHS would improve timeliness, as would the use of fax rather than post or e-mail. Automated reporting systems have to be explored in the Netherlands. Development of standardised and improved measures for timeliness is needed.

Using health information exchange to improve public health

Public health relies on data reported by health care partners, and information technology makes such reporting easier than ever. However, data are often structured according to a variety of different terminologies and formats, making data interfaces complex and costly. As one strategy to address these challenges, health information organizations (HIOs) have been established to allow secure, integrated sharing of clinical information among numerous stakeholders, including clinical partners and public health, through health information exchange (HIE). We give detailed descriptions of 11 typical cases in which HIOs can be used for public health purposes. We believe that HIOs, and HIE in general, can improve the efficiency and quality of public health reporting, facilitate public health investigation, improve emergency response, and enable public health to communicate information to the clinical community.

Co-detection of pandemic (H1N1) 2009 virus and other respiratory pathogens

From May through October 2009, a total of 10,624 clinical samples from 23 US states were screened for multiple respiratory pathogen gene targets. Of 3,110 (29.3%) samples positive for pandemic (H1N1) 2009 virus, 28% contained ≥ 1 other pathogen, most commonly Staphylococcus aureus (14.7%), Streptococcus pneumoniae (10.2%), and Haemophilus influenzae (3.5%).

Evaluation of mandatory case-based reporting system for varicella in the prevaccine era

Varicella is a mandatory reportable disease in Slovenia but it is not notifiable in most European countries. The aim of the study was to explore the completeness of mandatory varicella reporting in Slovenia. Data were extracted from three electronic datasets, including: mandatory notifiable communicable diseases dataset (SURVIVAL), health statistics dataset - consultations in primary care (ZUBSTAT), and health statistics dataset --hospitalizations (BOLOB). Age- and sex-specific reporting rates were compared during the period 1997-2006. During the ten-year period studied 168,089 cases were recorded via ZUBSTAT, and 128,222 cases by SURVIVAL. On average 76.2% (range: 62.9%-94.9%) were notified. In both datasets, the notified incidence of varicella was highest for preschool children, with a downward shift in age at contracting varicella. The percentage of notified cases decreased with increasing age. The number of hospitalized cases was low for BOLOB and SURVIVAL. On average 74% of hospitalized cases were reported. The mandatory notification system in Slovenia provides enough information to survey age/sex-specific varicella trends in the prevaccine era.

Differential West Nile fever ascertainment in the United States: a multilevel analysis

We evaluated the completeness of West Nile fever (WNF) surveillance within the U.S. public health system. We surveyed laboratory and surveillance programs on policies, practices, and capacities for testing, confirmation, and reporting (collectively called ascertainment) from 2003 through 2005. We calculated syndrome ascertainment ratios by dividing WNF counts by neuroinvasive disease counts; separately, we performed multilevel modeling. Jurisdictions were more likely to ascertain at least one WNF cases per West Nile neuroinvasive disease case when ≤ 1 testing restrictions existed (odds ratio [OR] = 7.7, 95% confidence interval [CI] = 1.3-46.4), when conducting ≥ 4 activities to enhance reporting (OR = 9.3, 95% CI = 1.6-54.8), and when ≥ 5.0 staff per million residents were dedicated to arboviral surveillance (OR = 6.4, 95% CI = 1.0-40.3). Ascertainment of WNF was less likely among Blacks (OR = 0.56, 95% CI = 0.31-0.99) and Hispanics (OR = 0.69, 95% CI = 0.48-0.98) than among Whites. Ascertainment was more complete when testing and reporting were enhanced, but differentially incomplete for minorities.

Origins and development of the National Laboratory System for public health testing

Although not recognized as such, a National Laboratory System (NLS) has existed since the inception of public health laboratory (PHL) testing more than a century ago. The NLS has always relied upon the participation of clinical laboratories, both to report test results that represent public health threats and to submit specimens and isolates to PHLs for additional or confirmatory testing. Historically, a number of factors have hindered the strengthening of the relationships between clinical laboratories and PHLs, but the reality of bioterrorism and subsequent focus on strengthening public-private relationships has stimulated the development of a more robust NLS. Since 2002, there has been substantial strengthening of the NLS through the sharing of lessons learned from several demonstration projects. There is a growing emphasis on defining critical elements of the NLS, including the State Public Health Laboratory System (SPH Laboratory System) and the functions of the Laboratory Program Advisor, a position that every state should have at the center of its laboratory system's capacity-building. Additional strengthening of the NLS is occurring through (1) national biennial measurement of state PHLs' abilities to meet the Core Functions and Capabilities of State PHLs, (2) the new Laboratory System Improvement Program (L-SIP) for the SPH Laboratory System, and (3) sharing ideas to integrate and improve the SPH Laboratory System (e.g., using the L-SIP Online Resource Center). Public health emergencies, such as the recent H1N1 epidemic, illustrate and reinforce the need for a strong NLS within which federal, public health, and clinical (i.e., hospital and private reference) laboratories function in close collaboration.

Notifiable infectious disease reporting awareness among physicians and registered nurses in primary care and emergency department settings

This study examined knowledge about notifiable infectious disease reporting among physicians and registered nurses (RNs) in primary care and emergency department settings in King County, Washington. In 2005, a total of 165 physicians and 170 RNs completed a questionnaire to assess knowledge, training and feedback regarding notifiable infectious disease reporting. Only 55% of the physicians and 63% of the RNs were aware of reporting procedures within their institution. Awareness was higher when employer-provided training had been provided. Our findings indicate that employer training can improve reporting knowledge.

Development of an electronic public health case report using HL7 v2.5 to meet public health needs

Clinicians are required to report selected conditions to public health authorities within a stipulated amount of time. The current reporting process is mostly paper-based and inefficient and may lead to delays in case investigation. As electronic medical records become more prevalent, electronic case reporting is becoming increasingly feasible. However, there is no existing standard for the electronic transmission of case reports from healthcare to public health entities. We identified the major requirements of electronic case reports and verified that the requirements support the work processes of the local health departments. We propose an extendable standards-based model to electronically transmit case information and associated laboratory information from healthcare to public health entities. The HL7 v2.5 message model is currently being implemented to transmit electronic case reports from Intermountain Healthcare to the Utah Department of Health.

Urgent care providers' knowledge and attitude about public health reporting and pertussis control measures: implications for informatics

OBJECTIVES

We assessed urgent care providers' knowledge about public health reporting, guidelines, and actions for the prevention and control of pertussis; attitudes about public health reporting and population-based data; and perception of reporting practices in their clinic.

METHODS

We identified the 106 providers (95% are physicians) employed in 28 urgent care clinics owned by Intermountain Healthcare located throughout Utah and Southern Idaho. We performed a descriptive, cross-sectional survey and assessed providers' knowledge, attitudes, beliefs, and behaviors associated with population-based data and public health mandates and recommendations. The online survey was completed between November 1, 2007, and February 29, 2008.

RESULTS

Among 63 practicing urgent care providers (60% response rate), 19 percent knew that clinically diagnosed pertussis was reportable, and only half (52%) the providers correctly responded about current pertussis vaccination recommendations. Most (35%-78%) providers did not know the prevention and control measures performed by public health practitioners after reporting occurs, including contact tracing, testing, treatment, and prophylaxis. Half (48%) the providers did not know that health department personnel can prescribe antibiotics for contacts of a reported case, and only 22 percent knew that health department personnel may perform diagnostic testing on contacts. Attitudes about reporting are variable, and reporting responsibility is diffused.

CONCLUSION

To improve our ability to meet public health goals, systems need to be designed that engage urgent care providers in the public health process, improve their knowledge and attitude about reporting, and facilitate the flow of information between urgent care and public health settings.

Information and feedback to improve occupational physicians' reporting of occupational diseases: a randomised controlled trial

Purpose

To assess the effectiveness of supplying occupational physicians (OPs) with targeted and stage-matched information or with feedback on reporting occupational diseases to the national registry in the Netherlands.

Methods

In a randomized controlled design, 1076 OPs were divided into three groups based on previous reporting behaviour: precontemplators not considering reporting, contemplators considering reporting and actioners reporting occupational diseases. Precontemplators and contemplators were randomly assigned to receive stage-matched, stage-mismatched or general information. Actioners were randomly assigned to receive personalized or standardized feedback upon notification. Outcome measures were the number of OPs reporting and the number of reported occupational diseases in a 180-day period before and after the intervention.

Results

Precontemplators were significantly more male and self-employed compared to contemplators and actioners. There was no significant effect of stage-matched information versus stage-mismatched or general information on the percentage of reporting OPs and on the mean number of notifications in each group. Receiving any information affected reporting more in contemplators than in precontemplators. The mean number of notifications in actioners increased more after personalized feedback than after standardized feedback, but the difference was not significant.

Conclusions

This study supports the concept that contemplators are more susceptible to receiving information but could not confirm an effect of stage-matching this information on reporting occupational diseases to the national registry.

Impact of two interventions on timeliness and data quality of an electronic disease surveillance system in a resource limited setting (Peru): a prospective evaluation

Background

A timely detection of outbreaks through surveillance is needed in order to prevent future pandemics. However, current surveillance systems may not be prepared to accomplish this goal, especially in resource limited settings. As data quality and timeliness are attributes that improve outbreak detection capacity, we assessed the effect of two interventions on such attributes in Alerta, an electronic disease surveillance system in the Peruvian Navy.

Methods

40 Alerta reporting units (18 clinics and 22 ships) were included in a 12-week prospective evaluation project. After a short refresher course on the notification process, units were randomly assigned to either a phone, visit or control group. Phone group sites were called three hours before the biweekly reporting deadline if they had not sent their report. Visit group sites received supervision visits on weeks 4 & 8, but no phone calls. The control group sites were not contacted by phone or visited. Timeliness and data quality were assessed by calculating the percentage of reports sent on time and percentage of errors per total number of reports, respectively.

Results

Timeliness improved in the phone group from 64.6% to 84% in clinics (+19.4 [95% CI, +10.3 to +28.6]; p < 0.001) and from 46.9% to 77.3% on ships (+30.4 [95% CI, +16.9 to +43.8]; p < 0.001). Visit and control groups did not show significant changes in timeliness. Error rates decreased in the visit group from 7.1% to 2% in clinics (-5.1 [95% CI, -8.7 to -1.4]; p = 0.007), but only from 7.3% to 6.7% on ships (-0.6 [95% CI, -2.4 to +1.1]; p = 0.445). Phone and control groups did not show significant improvement in data quality.

Conclusion

Regular phone reminders significantly improved timeliness of reports in clinics and ships, whereas supervision visits led to improved data quality only among clinics. Further investigations are needed to establish the cost-effectiveness and optimal use of each of these strategies.

Impact of electronic laboratory reporting on hepatitis A surveillance in New York City

BACKGROUND

The New York City Department of Health and Mental Hygiene (DOHMH) coordinates the administration of timely postexposure prophylaxis (PEP) to contacts of hepatitis A cases, making prompt disease reporting especially valuable. Electronic laboratory reporting (ELR) has been shown to improve timeliness of infectious disease reporting, and DOHMH began receiving hepatitis A reports via ELR in 2002.

OBJECTIVES

(1) to quantify the increase in the proportion of hepatitis A reports received electronically, (2) to assess how implementation of ELR affected the reporting time of hepatitis A, and (3) to assess how changes in reporting time impacted the ability to offer timely prophylaxis to contacts.

METHODS

We evaluated the proportion of reports received via ELR and the annual reporting time of all hepatitis A reports and quantified the individuals who received PEP from 2000 to 2006. The specific impact of ELR on laboratory reporting time was assessed for nine laboratories certified as of July 2006.

RESULTS

The proportion of hepatitis A reports received via ELR increased during the study period to 35 percent in 2006. Electronic laboratory reporting improved the reporting time for most of the laboratories certified to report electronically, with a median decrease of 17 days. In 2006, DOHMH administered PEP to 299 individuals; a fourfold increase from 2000.

CONCLUSIONS

Electronic laboratory reporting provides timely disease data to health departments. Increased utilization of ELR can have a remarkable impact on public health surveillance and response.

Improving the accuracy of Aboriginal and non-Aboriginal disease notification rates using data linkage

Background

Routinely collected infectious disease surveillance data provide a valuable means to monitor the health of populations. Notifiable disease surveillance systems in Australia have consistently reported high levels of completeness for the demographic data fields of age and sex, but low levels of completeness for Aboriginality data. Significant amounts of missing data associated with case notifications can introduce bias in the estimation of disease rates by population subgroups. The aim of this analysis was to evaluate the use of data linkage to improve the accuracy of estimated notification rates for sexually transmitted infections (STIs) and blood borne viruses (BBVs) in Aboriginal and non-Aboriginal groups in Western Australia.

Methods

Probabilistic methods were used to link disease notification data received in Western Australia in 2004 with core population health datasets from the established Western Australian Data Linkage System. A comparative descriptive analysis of STI and BBV notification rates according to Aboriginality was conducted based on the original and supplemented notification datasets.

Results

Using data linkage, the proportion of STI and BBV notifications with missing Aboriginality data was reduced by 74 per cent. Compared with excluding notifications with unknown Aboriginality data from the analysis, or apportioning notifications with unknown Aboriginality based on the proportion of cases with known Aboriginality, the rate ratios of chlamydia, syphilis and hepatitis C among Aboriginal relative to non-Aboriginal people decreased when Aboriginality data from data linkage was included.

Conclusion

Although there is still a high incidence of STIs and BBVs in Aboriginal people, incompleteness of Aboriginality data contributes to overestimation of the risk associated with Aboriginality for these diseases. Data linkage can be effectively used to improve the accuracy of estimated disease notification rates.

Evaluating public health uses of health information exchange

Health information exchange (HIE) initiatives are in various stages of development across the United States. They aim to bring previously unavailable clinical data from patients' disparate health records, which may be spread over multiple provider and payer networks, to the point of care where clinicians and their patients need it most. The implications of these initiatives on public health are numerous. This article provides general evaluation methods for measuring the impact of HIE on public health in six use cases: (1) mandated reporting of laboratory diagnoses, (2) mandated reporting of physician-based diagnoses, (3) public health investigation, (4) disease-based non-reportable laboratory data, (5) antibiotic-resistant organism surveillance, and (6) population-level quality monitoring.

Evaluating the impact of public health notification of suspected transfusion-transmissible hepatitis C virus infection and effectiveness of lookback and traceback investigations by Canadian Blood Services in British Columbia, Canada, August 2002 through F

BACKGROUND

Suspected transfusion-transmissible infections (TTIs) have been reported to public health (PH) in British Columbia (BC) since August 2002. The impact of PH notification of suspected transfusion-transmissible hepatitis C virus (TT-HCV) infection over the first 2.5 years and the effectiveness of HCV lookback (LB) and traceback (TB) investigations conducted by Canadian Blood Services (CBS) in BC were evaluated.

STUDY DESIGN AND METHODS

Suspected TT-HCV cases reported to CBS in BC between August 28, 2002, and February 28, 2005, were analyzed. The incremental yield of plausible TTIs from PH-reported suspected TTIs was calculated. The effectiveness of LB and TB investigations was assessed with respect to the impact of improved anti-HCV donor screening, the number of newly recognized HCV infections, and the timeliness of initiating investigations.

RESULTS

Nine of 553 (1.6%) investigations were initiated after PH reporting, yielding an additional 2 of 237 (i.e., 0.8%) plausible TTIs. Ninety-two percent of investigations with transfused units involved transfusions before implementing second-generation anti-HCV enzyme immunoassay (EIA) donor screening. Almost one-third of HCV-infected persons in linked investigations (i.e., LB triggered by a TB and vice versa) were newly identified. Recently tested, PH-reported cases incurred a mean delay exceeding 6 months until initiating a LB or TB investigation.

CONCLUSION

PH reporting of TTIs and investigating transfusions after second-generation anti-HCV EIA donor screening identified few plausible TT-HCV infections. Many HCV-infected recipients or lapsed donors first became aware of their infection status as a result of CBS investigations. The current process of reporting suspected TTIs incurs significant time delay.

Benefits and barriers to electronic laboratory results reporting for notifiable diseases: the New York City Department of Health and Mental Hygiene experience

OBJECTIVES

Despite national support for electronic laboratory reporting (ELR), the transition from paper to electronic reporting has been slow both nationally and locally. We assessed the ELR experience of New York City's surveillance programs to identify barriers to ELR implementation and generalizable lessons about automated electronic notifiable disease surveillance.

METHODS

We conducted interviews with key staff of the New York City Department of Health and Mental Hygiene to evaluate ELR implementation. A review of paper and ELR disease reports enabled a comparison of the reporting systems.

RESULTS

The completeness and timeliness of ELR were similar to, and sometimes better than, paper reporting for certain diseases. Incorporating electronic data into surveillance databases created new problems with data quality, shifted work demands, and required additional skills for data monitoring. ELR improved the handling of high-volume and time-sensitive diseases but did not completely automate reporting for diseases that required complicated assessments by staff.

CONCLUSIONS

Although ELR streamlines data processing, electronic reporting has its own limitations. A more successful use of ELR can be achieved by understanding its strengths and limitations for different disease types.