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The State of Washington received a State Innovation Models (SIM) $65 million award from the federal Centers for Medicare & Medicaid Services to improve population health and quality of care and reduce the growth of health care costs in the entire state, which has over 7 million residents. SIM is a "complex intervention" that implements several interacting components in a complex, decentralized health system to achieve goals, which poses challenges for evaluation. Our purpose is to present the state-level evaluation methods for Washington's SIM, a 3-year intervention (2016-2018). We apply the RE-AIM (reach, effectiveness, adoption, implementation, and maintenance) evaluation framework to structure our evaluation. We create a conceptual model and a plan to use multiple and mixed methods to study SIM performance in the RE-AIM components from a statewide, population-based perspective.

National-level evaluations may fail to identify capacity improvements for detecting and responding to outbreaks which begin and are first detected at the local level. In response to this issue, we conducted a field-based assessment of the malaria outbreak surveillance system in Mashonaland East, Zimbabwe. We visited eleven clinics in Mudzi and Goromonzi districts. Twenty-one interviews were conducted with key informants from the provincial (

Emergency department (ED) visits and inpatient (IP) admissions may provide an opportunity to reengage poorly engaged people living with HIV and facilitate viral suppression. In 2015, Public Health Seattle and King County partnered with the University of Washington Medicine to implement a real-time data exchange to identify virally unsuppressed people living with HIV seen at the ED/IP hospital and reengage them in HIV care. We evaluated the impact of the data exchange on care engagement and viral suppression.Public Health Seattle and King County received a text alert on weekdays 8 AM to 6 PM for ED/IP patients previously diagnosed with HIV with a most recent viral load ≥200 copies/mL. We compared viral load testing3 months and viral suppression6 months after an alert-eligible visit in the 2 years after intervention and the 7 to 30 months before intervention. To account for secular trends, we used difference-in-differences models to compare patients with alert-window visits to patients with visits outside the alert window before and after intervention.Patients with visits within the alert window in the postintervention period were 1.08 (95% confidence interval [CI], 0.97-1.20) times more likely to have a viral load test within 3 months after an ED visit/IP admission and 1.50 (95% CI, 1.27-1.76) times more likely to achieve viral suppression within 6 months than patients in the preintervention period. However, care engagement (difference-in-differences relative risk, 1.00; 95% CI, 0.84-1.18) and viral suppression (difference-in-differences relative risk, 1.01; 95% CI, 0.84-1.20) trends were similar among patients with visits outside the alert window.Real-time data exchange with ED/IP hospitals was associated with improved viral suppression, but not increased care engagement. However, our results may reflect secular trends resulting from diverse interventions, of which ours was only one. More efforts are needed to improve the effectiveness of relinkage interventions guided by real-time data exchange.

Background Many public health departments use record linkage between surveillance data and external data sources to inform public health interventions. However, little guidance is available to inform these activities, and many health departments rely on deterministic algorithms that may miss many true matches. In the context of public health action, these missed matches lead to missed opportunities to deliver interventions and may exacerbate existing health inequities. Objective This study aimed to compare the performance of record linkage algorithms commonly used in public health practice. Methods We compared five deterministic (exact, Stenger, Ocampo 1, Ocampo 2, and Bosh) and two probabilistic record linkage algorithms (fastLink and beta record linkage [BRL]) using simulations and a real-world scenario. We simulated pairs of datasets with varying numbers of errors per record and the number of matching records between the two datasets (ie, overlap). We matched the datasets using each algorithm and calculated their recall (ie, sensitivity, the proportion of true matches identified by the algorithm) and precision (ie, positive predictive value, the proportion of matches identified by the algorithm that were true matches). We estimated the average computation time by performing a match with each algorithm 20 times while varying the size of the datasets being matched. In a real-world scenario, HIV and sexually transmitted disease surveillance data from King County, Washington, were matched to identify people living with HIV who had a syphilis diagnosis in 2017. We calculated the recall and precision of each algorithm compared with a composite standard based on the agreement in matching decisions across all the algorithms and manual review. Results In simulations, BRL and fastLink maintained a high recall at nearly all data quality levels, while being comparable with deterministic algorithms in terms of precision. Deterministic algorithms typically failed to identify matches in scenarios with low data quality. All the deterministic algorithms had a shorter average computation time than the probabilistic algorithms. BRL had the slowest overall computation time (14 min when both datasets contained 2000 records). In the real-world scenario, BRL had the lowest trade-off between recall (309/309, 100.0%) and precision (309/312, 99.0%). Conclusions Probabilistic record linkage algorithms maximize the number of true matches identified, reducing gaps in the coverage of interventions and maximizing the reach of public health action.

Background Nationwide, emergency response systems depend on 9-1-1 telecommunicators to prioritize, triage, and dispatch assistance to those in distress. 9-1-1 call center telecommunicators (TCs) are challenged by acute and chronic workplace stressors: tense interactions with citizen callers in crisis; overtime; shift-work; ever-changing technologies; and negative work culture, including co-worker conflict. This workforce is also subject to routine exposures to secondary traumatization while handling calls involving emergency situations and while making time urgent, high stake decisions over the phone. Our study aims to test the effectiveness of a multi-part intervention to reduce stress in 9-1-1 TCs through an online mindfulness training and a toolkit containing workplace stressor reduction resources. Methods/design The study employs a randomized controlled trial design with three data collection points. The multi-part intervention includes an individual-level online mindfulness training and a call center-level organizational stress reduction toolkit. 160 TCs will be recruited from 9-1-1 call centers, complete a baseline survey at enrollment, and are randomly assigned to an intervention or a control group. Intervention group participants will start a 7-week online mindfulness training developed in-house and tailored to 9-1-1 TCs and their call center environment; control participants will be “waitlisted” and start the training after the study period ends. Following the intervention group’s completion of the mindfulness training, all participants complete a second survey. Next, the online toolkit with call-center wide stress reduction resources is made available to managers of all participating call centers. After 3 months, a third survey will be completed by all participants. The primary outcome is 9-1-1 TCs’ self-reported symptoms of stress at three time points as measured by the C-SOSI (Calgary Symptoms of Stress Inventory). Secondary outcomes will include: perceptions of social work environment (measured by metrics of social support and network conflict); mindfulness; and perceptions of social work environment and mindfulness as mediators of stress reduction. Discussion This study will evaluate the effectiveness of an online mindfulness training and call center-wide stress reduction toolkit in reducing self-reported stress in 9-1-1 TCs. The results of this study will add to the growing body of research on worksite stress reduction programs. Trial registration ClinicalTrials.gov Registration Number: NCT02961621 Registered on November 7, 2016 (retrospectively registered).

Escherichia colisequence type 131H30has garnered global attention as a dominant antimicrobial-resistant lineage of extraintestinal pathogenicE. coli, but its transmission dynamics remain undefined. We applied whole genome sequencing to identify putative transmission clusters among clinical isolates ofH30from children across the U.S. Of 126 isolates, 17 were involved in 8 putative transmission clusters; 4 clusters involved isolates with some evidence of healthcare-associated epidemiologic linkages. Geographic clustering analyses showed weak geographic clustering. These findings are consistent with a framework where within-hospital transmission is not a main contributor to the propagation ofH30in a pediatric setting.

Strong data quality (DQ) is a precursor to strong data use. In resource limited settings, routine DQ assessment (DQA) within electronic medical record (EMR) systems can be resource-intensive using manual methods such as audit and chart review; automated queries offer an efficient alternative. This DQA focused on Haiti's national EMR - iSanté - and included longitudinal data for over 100,000 persons living with HIV (PLHIV) enrolled in HIV care and treatment services at 95 health care facilities (HCF).This mixed-methods evaluation used a qualitative Delphi process to identify DQ priorities among local stakeholders, followed by a quantitative DQA on these priority areas. The quantitative DQA examined 13 indicators of completeness, accuracy, and timeliness of retrospective data collected from 2005 to 2013. We described levels of DQ for each indicator over time, and examined the consistency of within-HCF performance and associations between DQ and HCF and EMR system characteristics.Over all iSanté data, age was incomplete in1% of cases, while height, pregnancy status, TB status, and ART eligibility were more incomplete (approximately 20-40%). Suspicious data flags were present for3% of cases of male sex, ART dispenses, CD4 values, and visit dates, but for 26% of cases of age. Discontinuation forms were available for about half of all patients without visits for 180 or more days, and60% of encounter forms were entered late. For most indicators, DQ tended to improve over time. DQ was highly variable across HCF, and within HCFs DQ was variable across indicators. In adjusted analyses, HCF and system factors with generally favorable and statistically significant associations with DQ were University hospital category, private sector governance, presence of local iSante server, greater HCF experience with the EMR, greater maturity of the EMR itself, and having more system users but fewer new users. In qualitative feedback, local stakeholders emphasized lack of stable power supply as a key challenge to data quality and use of the iSanté EMR.Variable performance on key DQ indicators across HCF suggests that excellent DQ is achievable in Haiti, but further effort is needed to systematize and routinize DQ approaches within HCFs. A dynamic, interactive "DQ dashboard" within iSanté could bring transparency and motivate improvement. While the results of the study are specific to Haiti's iSanté data system, the study's methods and thematic lessons learned holdgeneralized relevance for other large-scale EMR systems in resource-limited countries.

In 2015, the University of Washington School of Public Health, Department of Epidemiology established the Student Epidemic Action Leaders (SEAL) team to provide public health students with experience in field epidemiology in state and local public health communicable disease divisions. The University of Washington Department of Epidemiology developed the SEAL team in collaboration with the Washington State Department of Health to offer public health graduate students opportunities to contribute to the real-time needs of public health agencies during a communicable disease event and/or preparedness event. The SEAL team combines classroom and field-based training in public health practice and applied epidemiology. During the first 2 years of the SEAL team (2016-2018), 34 SEALs were placed at 4 agencies contributing more than 1300 hours of assistance on 24 public health projects.

ObjectivesHealth care providers play an essential role in public health emergency preparedness and response. We conducted a 4-year randomized controlled trial to systematically compare the effectiveness of traditional and mobile communication strategies for sending time-sensitive public health messages to providers.MethodsSubjects (N=848) included providers who might be leveraged to assist with emergency preparedness and response activities, such as physicians, pharmacists, nurse practitioners, physician’s assistants, and veterinarians. Providers were randomly assigned to a group that received time-sensitive quarterly messages via e-mail, fax, or cell phone text messaging (SMS) or to a no-message control group. Follow-up phone interviews elicited information about message receipt, topic recall, and perceived credibility and trustworthiness of message and source.ResultsOur main outcome measures were awareness and recall of message content, which was compared across delivery methods. Per-protocol analysis revealed that e-mail messages were recalled at a higher rate than were messaged delivered by fax or SMS, whereas the as-treated analysis found that e-mail and fax groups had similar recall rates and both had higher recall rates than the SMS group.ConclusionsThis is the first study to systematically evaluate the relative effectiveness of public health message delivery systems. Our findings provide guidance to improve public health agency communications with providers before, during, and after a public health emergency. (Disaster Med Public Health Preparedness. 2016;10:98–107)

Public health surveillance of communicable diseases depends on timely, complete, accurate, and useful data that are collected across a number of healthcare and public health systems. Health Information Exchanges (HIEs) which support electronic sharing of data and information between health care organizations are recognized as a source of ‘big data’ in healthcare and have the potential to provide public health with a single stream of data collated across disparate systems and sources. However, given these data are not collected specifically to meet public health objectives, it is unknown whether a public health agency’s (PHA’s) secondary use of the data is supportive of or presents additional barriers to meeting disease reporting and surveillance needs. To explore this issue, we conducted an assessment of big data that is available to a PHA—laboratory test results and clinician-generated notifiable condition report data—through its participation in a HIE.

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 =

Background: Cancer survivors living in rural areas experience unique challenges due to additional burdens, such as travel and limited access to specialists. Rural survivors of breast cancer have reported poorer outcomes, poorer mental health and physical functioning, and lower-than-average quality of life compared to urban survivors. Objective: To explore the feasibility and acceptability of developing a mobile health survivorship care app to facilitate care coordination; support medical, psychosocial, and practical needs; and improve survivors' long-term health outcomes. Methods: An interactive prototype app, SmartSurvivor, was developed that included recommended survivorship care plan components. The prototype's feasibility and acceptability were tested by a sample of breast cancer survivors (n=6), primary care providers (n=4), and an oncologist (n=1). Results: Overall, both survivors and providers felt that SmartSurvivor was a potentially valuable tool to support long-term survivorship care plan objectives. Portability, accessibility, and having one place for all contact, treatment, symptom tracking, and medication summaries was highly valued. Conclusions: Our pilot study indicates that SmartSurvivor is a feasible and acceptable approach to meeting survivorship care objectives and the needs of both breast cancer survivors and their health care providers. Exploration of mobile health options for supporting survivorship care plan needs is a promising area of research.

Background Escherichia coli sequence type (ST) 131-H30 is a globally important pathogen implicated in rising rates of multidrug resistance among E. coli causing extraintestinal infections. Previous studies have focused on adults, leaving the epidemiology of H30 among children undefined. Methods We used clinical data and isolates from a case-control study of extended-spectrum cephalosporin-resistant E. coli conducted at 4 US children's hospitals to estimate the burden and identify host correlates of infection with H30. H30 isolates were identified using 2-locus genotyping; host correlates were examined using log-binomial regression models stratified by extended-spectrum cephalosporin resistance status. Results A total of 339 extended-spectrum cephalosporin-resistant and 1008 extended-spectrum cephalosporin-susceptible E. coli isolates were available for analyses. The estimated period prevalence of H30 was 5.3% among all extraintestinal E. coli isolates (95% confidence interval [CI], 4.6%-7.1%); H30 made up 43.3% (81/187) of extended-spectrum β-lactamase (ESBL)-producing isolates in this study. Host correlates of infection with H30 differed by extended-spectrum cephalosporin resistance status: Among resistant isolates, age ≤5 years was positively associated with H30 infection (relative risk [RR], 1.83 [95% CI, 1.19-2.83]); among susceptible isolates, age ≤5 years was negatively associated with H30 (RR, 0.48 [95% CI, .27-.87]), while presence of an underlying medical condition was positively associated (RR, 4.49 [95% CI, 2.43-8.31]). Conclusions ST131-H30 is less common among extraintestinal E. coli collected from children compared to reported estimates among adults, possibly reflecting infrequent fluoroquinolone use in pediatrics; however, it is similarly dominant among ESBL-producing isolates. The H30 subclone appears to disproportionately affect young children relative to other extended-spectrum cephalosporin-resistant E. coli.

BackgroundE. coli ST131-H30 is a globally important pathogen implicated in rising rates of multidrug resistance among E. coli causing extraintestinal infections. Previous studies have focused on adults, leaving the epidemiology of H30 among children undefined.MethodsWe used clinical data and isolates from a case-control study of extended-spectrum cephalosporin-resistant E. coli conducted at four US children’s hospitals to estimate the burden and identify host correlates of infection with H30. H30 isolates were identified using two-locus genotyping; host correlates were examined using log-binomial regression models stratified by extended-spectrum cephalosporin resistance status.ResultsA total of 339 extended-spectrum cephalosporin-resistant and 1008 extended-spectrum cephalosporin-susceptible E. coli isolates were available for analyses. The estimated period prevalence of H30 was 5.3% among all extraintestinal E. coli isolates (95% confidence interval [CI] 4.6%-7.1%); H30 made up 43.3% (81/187) of ESBL-producing isolates in this study. Host correlates of infection with H30 differed by extended-spectrum cephalosporin resistance status: among resistant isolates, age ≤5 years was positively associated with H30 infection (relative risk [RR] 1.83, 95% CI 1.19-2.83); among susceptible isolates, age ≤5 years was negatively associated with H30 (RR 0.48, 95% CI 0.27-0.87), while presence of an underlying medical condition was positively associated (RR 4.49, 95% CI 2.43-8.31).ConclusionsST131-H30 is less common among extraintestinal E. coli collected from children compared to reported estimates among adults, possibly reflecting infrequent fluoroquinolone use in pediatrics; however, it is similarly dominant among ESBL-producing isolates. The H30 subclone appears to disproportionately affect young children relative to other extendedspectrum cephalosporin-resistant E. coli.SummaryST131-H30 was responsible for 5.3% of all extraintestinal E. coli infections and 43.3% of ESBL-producing extraintestinal E. coli infections among US children. The clinical and demographic correlates of infection with ST131-H30 differed between extended-spectrum cephalosporin-resistant and -sensitive isolates.

Background Communication technologies that enable bi-directional/two-way communications and cell phone texting (SMS) between public health agencies and their stakeholders may improve public health surveillance, ensure targeted distribution of alerts to hard-to-reach populations, reduce mortality and morbidity in an emergency, and enable a crucial feedback loop between public health agencies and the communities they serve. Building on prior work regarding health care provider preferences for receiving one-way public health communications by email, fax or SMS, we conducted a formative, exploratory study to understand how a bi-directional system and the incorporation of SMS in that system might be used as a strategy to send and receive messages between public health agencies and community-based organizations which serve vulnerable populations, health care providers, and public health workers. Our research question: Under what conditions and/or situations might public health agencies utilize bi-directional and/or SMS messaging for disseminating time-sensitive public health information (alerts, advisories, updates, etc.) to their stakeholders? Methods A mixed methods (qualitative and quantitative) study was conducted between April and July 2014. Data collection included a survey distributed to health care providers and semi-structured interviews with providers, community- and government-based organization leaders and directors, and public health agency internal workforce staff. Survey respondents and interviewees were asked about their exposure to public health messages, how these messages are received and how the information in these messages are handled, and in what situations (for example, a local vs. a national event, a pandemic or emergency vs. a health update) a bi-directional and/or SMS messaging system might improve communications between public health agencies and their stakeholder group. Interview and survey data were qualitatively analyzed. Thematic codes were quantitized into dichotomous variables of 0 or 1 on a per respondent basis to enumerate the presence or absence of each thematic code, enable quantitative analysis, and inform interpretation of findings. Results Five major themes emerged from synthesizing survey and interview results: 1) Regardless of situational context (emergency vs. non-urgent) and message recipient (stakeholder group), e-mail is a favored modality for receiving public health messages; 2) The decision to use bi-directional, SMS or multiple communication strategies is complex and public health agencies’ need to manage messaging concerns/barriers and benefits for all parties; 3) Both public health agencies and their stakeholders share similar values/uses and concerns regarding two-way public health messaging and SMS; 4) Public health is highly trusted, thus thoughtful, effective messaging will ensure continuation of this goodwill; and 5) Information reciprocity between public health agencies and stakeholders who share their information is essential. Conclusions Multiple communication strategies might be utilized but the choice of a specific strategy needs to balance message content (emergency vs. routine communications), delivery (one- vs. two-way), channel (SMS, email, etc.), and public health agency burden with stakeholder preferences and technical capabilities, all while mitigating the risk of message overload and disregard of important communications by recipients. Electronic supplementary material The online version of this article (doi:10.1186/s12889-015-1980-2) contains supplementary material, which is available to authorized users.

Background Health care providers are an important target audience for public health emergency preparedness, response and recovery communications. Short Message Service or text messaging to cell phones may be a promising supplemental or alternative technique for reaching health care providers with time-sensitive public health information. However, studies to date have yet to investigate the message content and formatting requirements of providers with respect to public health alerts and advisories or sought to understand how to meet these needs using Short Message Service technology. Methods Data collection was completed using a two-part online survey. In the first part, health care providers identified their use of different technologies for receiving information and provided input on the message components most important in a public health message. In the second part, health care providers participated in an exercise in which they shortened three public health emergency messages, ranging from 2024–2828 characters per message, to meet the 160-character limitation for text delivery. Results were analyzed to determine associations between provider types, age ranges, gender, access to various media (text, email, fax, social media, etc.), and smart phone ownership. Results The following components were most frequently selected as essential for a public health message: Topic, Recommendation, Geographic Location, Signs & Symptoms, Population Affected, and Link to Additional Information. There was no statistically significant association between message component selection and provider type, age ranges, or gender. In the message conversion exercise, we found a statistically significant association between providers who reported receiving information by SMS and/or smart phone ownership and including a link to additional information in the converted message, ranging from 61% to over 72% on a per message analysis. Conclusions A substantive recommendation derived from this study is that public health agencies include a link to additional website information when sending messages in SMS format. SMS could be a useful public health tool for communicating with health care providers but further investigation of how to effectively use SMS and other mobile technologies is needed to inform public health decisions regarding adoption of messaging systems utilizing these newer technologies.

Objective To systematically compare mobile (SMS) and traditional (email, FAX) communication strategies to identify which modality is most effective for communication of health alerts and advisories between public health agencies and health care providers in order to improve emergency preparedness and response. Introduction The effectiveness of emergency preparedness and response systems depends, in part, on the effectiveness of communication between agencies and individuals involved in emergency response, including health care providers who play a significant role in planning, event detection, response and communication with the public. Although much attention has been paid to the importance of communicating clinical data from health care providers to public health agencies for purposes of early event detection and situational awareness (e.g., BioSense) and to the need for alerting health care providers of public health events (e.g., Health Alert Networks), no studies to date have systematically identified the most effective methods of communication between public health agencies and community health care providers for purposes of public health emergency preparedness and response. The REACH (Rapid Emergency Alert Communication in Health) study is a 4-year randomized controlled trial to evaluate and compare the effectiveness of mobile (SMS) and traditional (email, FAX) communication strategies for sending public health messages to health care providers—physicians, pharmacists, nurse practitioners, physician’s assistants and veterinarians. Methods Providers were recruited from three sites (King County, WA; Spokane County, WA; and across the state of Montana; N=845) and randomized to receive time-sensitive public health messages via email, Fax, short message service (SMS) or to a control group that did not receive messages. For one year, alerts based on real events of public health interest were sent quarterly with follow-up telephone interviews conducted 5–10 days after the delivery date. Interviews consisted of approximately six questions that elicited information about message receipt, recall of its content and perceived credibility and trustworthiness of the message and source. In addition, provider access to online alert information and delivery success or failure was collected. Results Frequency of receipt, timeliness, content awareness, perceived credibility and perceived trustworthiness were measured and compared across communication delivery systems. On average 84.0% of participants were contacted in each follow-up survey following all alerts and across all three sites. Primary data analysis was designed to measure differences between the three communication groups using intent-to-treat methods. A set of secondary analyses examined the outcomes excluding providers who could not have received messages (due to incorrect contact information, known technical failures, or because providers could not receive messages by the assigned delivery message—for example, a provider without a Fax number randomized to the Fax group). We will discuss preliminary results of intent-to-treat analyses regarding rate of recall of study alert message content between traditional and mobile communications and perceived trustworthiness and credibility of message and message source by providers. In addition, we will report on frequency of accessing online alert information between traditional and mobile delivery groups. Conclusions There is currently no evidence-based research to guide or improve the practice of public health communication between public health agencies and health care providers before, during and after a public health emergency. Improving this communication via the use of effective media can enhance disease surveillance, which will aid in early detection and enhance case finding and situational awareness for public health emergencies. By systematically evaluating the relative effectiveness of mobile and traditional message delivery systems for emergency preparedness and response communications, the REACH study contributes to building the evidence base for novel and effective approaches to emergency communications.

Introduction: Public health professionals engage in frequent exchange of health information while pursuing the objectives of protecting and improving population health. Yet, there has been little study of the information work of public health workers with regard to information exchange. Our objective was to gain a better understanding of information work at a local health jurisdiction before and during the early stages of participation in a regional Health Information Exchange. Methods: We investigated the information work of public health workers engaged in disease surveillance activities at a medium-sized local health jurisdiction by conducting semi-structured interviews and thematically analyzing interview transcripts. Results: Analysis of the information work of public health workers revealed barriers in the following areas: information system usability; data timeliness, accuracy and completeness; and social interaction with clients. We illustrate these barriers by focusing on the work of epidemiologists. Conclusion: Characterizing information work and barriers to information exchange for public health workers should be part of early system design efforts. A comprehensive understanding of the information practice of public health workers will inform the design of systems that better support public health work.

Notifiable condition reporting and alerting are two important public health functions. Today, a variety of methods are used to accomplish these transfers of information. The increasing use of electronic health record systems by healthcare providers makes new types of electronic communication possible. We used the XForms standard and nationally recognized technical profiles to demonstrate the communication of both notifiable condition reports and patient-tailored public health alerts. This demonstration of bi-directional communication took place in a prototypical health information exchange environment. We successfully transferred information between provider electronic health record systems and public health systems for notifiable condition reporting. Patient-specific alerts were successfully sent from public health to provider systems. In this paper we discuss the benefits of XForms, including the use of XML, advanced form controls, form initialization and reduction in scripting. We also review implementation challenges, the maturity of the technology and its suitability for use in public health.

Background Health care providers (HCPs) play an important role in public health emergency preparedness and response (PHEPR) so need to be aware of public health threats and emergencies. To inform HCPs, public health issues PHEPR messages that provide guidelines and updates, and facilitate surveillance so HCPs will recognize and control communicable diseases, prevent excess deaths and mitigate suffering. Public health agencies need to know that the PHEPR messages sent to HCPs reach their target audience and are effective and informative. Public health agencies need to know that the PHEPR messages sent to HCPs reach their target audience and are effective and informative. We conducted a literature review to investigate the systems and tools used by public health to generate PHEPR communications to HCPs, and to identify specific characteristics of message delivery mechanisms and formats that may be associated with effective PHEPR communications. Methods A systematic review of peer- and non-peer-reviewed literature focused on the following questions: 1) What public health systems exist for communicating PHEPR messages from public health agencies to HCPs? 2) Have these systems been evaluated and, if yes, what criteria were used to evaluate these systems? 3) What have these evaluations discovered about characterizations of the most effective ways for public health agencies to communicate PHEPR messages to HCPs? Results We identified 25 systems or tools for communicating PHEPR messages from public health agencies to HCPs. Few articles assessed PHEPR communication systems or messaging methods or outcomes. Only one study compared the effectiveness of the delivery format, device or message itself. We also discovered that the potential is high for HCPs to experience "message overload" given redundancy of PHEPR messaging in multiple formats and/or through different delivery systems. Conclusions We found that detailed descriptions of PHEPR messaging from public health to HCPs are scarce in the literature and, even when available are rarely evaluated in any systematic fashion. To meet present-day and future information needs for emergency preparedness, more attention needs to be given to evaluating the effectiveness of these systems in a scientifically rigorous manner.

Background Health care providers play a significant role in large scale health emergency planning, detection, response, recovery and communication with the public. The effectiveness of health care providers in emergency preparedness and response roles depends, in part, on public health agencies communicating information in a way that maximizes the likelihood that the message is delivered, received, deemed credible and, when appropriate, acted on. However, during an emergency, health care providers can become inundated with alerts and advisories through numerous national, state, local and professional communication channels. We conducted an alert fatigue study as a sub-study of a larger randomized controlled trial which aimed to identify the most effective methods of communicating public health messages between public health agencies and providers. We report an analysis of the effects of public health message volume/frequency on recall of specific message content and effect of rate of message communications on health care provider alert fatigue. Methods Health care providers enrolled in the larger study (n=528) were randomized to receive public health messages via email, fax, short message service (SMS or cell phone text messaging) or to a control group that did not receive messages. For 12 months, study messages based on real events of public health significance were sent quarterly with follow-up telephone interviews regarding message receipt and topic recall conducted 5–10 days after the message delivery date. During a pandemic when numerous messages are sent, alert fatigue may impact ability to recall whether a specific message has been received due to the “noise” created by the higher number of messages. To determine the impact of “noise” when study messages were sent, we compared health care provider recall of the study message topic to the number of local public health messages sent to health care providers. Results We calculated the mean number of messages that each provider received from local public health during the time period around each study message and provider recall of study message content. We found that recall rates were inversely proportional to the mean number of messages received per week: Every increase of one local public health message per week resulted in a statistically significant 41.2% decrease (p < 0.01), 95% CI [0.39, .87] in the odds of recalling the content of the study message. Conclusions To our knowledge, this is the first study to document the effects of alert fatigue on health care providers’ recall of information. Our results suggest that information delivered too frequently and/or repetitively through numerous communication channels may have a negative effect on the ability of health care providers to effectively recall emergency information. Keeping health care providers and other first-line responders informed during an emergency is critical. Better coordination between organizations disseminating alerts, advisories and other messages may improve the ability of health care providers to recall public health emergency messages, potentially impacting effective response to public health emergency messages.