A Governance Framework to Integrate Longitudinal Clinical and Community Data in a Distributed Data Network: The Childhood Obesity Data Initiative.

CONTEXT: Integrating longitudinal data from community-based organizations (eg, physical activity programs) with electronic health record information can improve capacity for childhood obesity research. OBJECTIVE: A governance framework that protects individual privacy, accommodates organizational data stewardship requirements, and complies with laws and regulations was developed and implemented to support the harmonization of data from disparate clinical and community information systems. PARTICIPANTS AND SETTING: Through the Childhood Obesity Data Initiative (CODI), 5 Colorado-based organizations collaborated to expand an existing distributed health data network (DHDN) to include community-generated data and assemble longitudinal patient records for research. DESIGN: A governance work group expanded an existing DHDN governance infrastructure with CODI-specific data use and exchange policies and procedures that were codified in a governance plan and a delegated-authority, multiparty, reciprocal agreement. RESULTS: A CODI governance work group met from January 2019 to March 2020 to conceive an approach, develop documentation, and coordinate activities. Governance requirements were synthesized from the CODI use case, and a customized governance approach was constructed to address governance gaps in record linkage, a procedure to request data, and harmonizing community and clinical data. A Master Sharing and Use Agreement (MSUA) and Memorandum of Understanding were drafted and executed to support creation of linked longitudinal records of clinical- and community-derived childhood obesity data. Furthermore, a multiparty infrastructure protocol was approved by the local institutional review board (IRB) to expedite future CODI research by simplifying IRB research applications. CONCLUSION: CODI implemented a clinical-community governance strategy that built trust between organizations and allowed efficient data exchange within a DHDN. A thorough discovery process allowed CODI stakeholders to assess governance capacity and reveal regulatory and organizational obstacles so that the governance infrastructure could effectively leverage existing knowledge and address challenges. The MSUA and complementary governance documents can inform similar efforts.

The Childhood Obesity Data Initiative: A Case Study in Implementing Clinical-Community Infrastructure Enhancements to Support Health Services Research and Public Health.

CONTEXT: We describe a participatory framework that enhanced and implemented innovative changes to an existing distributed health data network (DHDN) infrastructure to support linkage across sectors and systems. Our processes and lessons learned provide a potential framework for other multidisciplinary infrastructure development projects that engage in a participatory decision-making process. PROGRAM: The Childhood Obesity Data Initiative (CODI) provides a potential framework for local and national stakeholders with public health, clinical, health services research, community intervention, and information technology expertise to collaboratively develop a DHDN infrastructure that enhances data capacity for patient-centered outcomes research and public health surveillance. CODI utilizes a participatory approach to guide decision making among clinical and community partners. IMPLEMENTATION: CODI's multidisciplinary group of public health and clinical scientists and information technology experts collectively defined key components of CODI's infrastructure and selected and enhanced existing tools and data models. We conducted a pilot implementation with 3 health care systems and 2 community partners in the greater Denver Metro Area during 2018-2020. EVALUATION: We developed an evaluation plan based primarily on the Good Evaluation Practice in Health Informatics guideline. An independent third party implemented the evaluation plan for the CODI development phase by conducting interviews to identify lessons learned from the participatory decision-making processes. DISCUSSION: We demonstrate the feasibility of rapid innovation based upon an iterative and collaborative process and existing infrastructure. Collaborative engagement of stakeholders early and iteratively was critical to ensure a common understanding of the research and project objectives, current state of technological capacity, intended use, and the desired future state of CODI architecture. Integration of community partners' data with clinical data may require the use of a trusted third party's infrastructure. Lessons learned from our process may help others develop or improve similar DHDNs.

Associations Between Patient-Provider Secure Message Content and Patients' Health Care Visits.

Background:Between-visit communications can play a vital role in improving intermediate patient outcomes such as access to care and satisfaction. Secure messaging is a growing modality for these communications, but research is limited about the influence of message content on those intermediate outcomes. We examined associations between secure message content and patients' number of health care visits.Methods:Our study included 2,111 adult patients with hypertension and/or diabetes and 18,309 patient- and staff-generated messages. We estimated incident rate ratios (IRRs) for associations between taxonomic codes assigned to message content, and the number of office, emergency department, and inpatient visits.Results:Patients who initiated message threads in 2017 had higher numbers of outpatient visits (p < 0.001) compared with patients who did not initiate threads. Among patients who initiated threads, we identified an inverse relationship between outpatient visits and preventive care scheduling requests (IRR = 0.92; 95% confidence interval [CI]: 0.86-0.98) and requests for appointments for new conditions (IRR = 0.95; 95% CI: 0.92-0.99). Patients with higher proportions of request denials or more follow-up appointment requests had more emergency department visits compared with patients who received or sent other content (IRR = 1.18; 95% CI: 1.03-1.34 and IRR = 1.14; 95% CI: 1.07-1.23, respectively). We identified a positive association between outpatient visits and the proportion of threads that lacked a clinic response (IRR = 1.02; 95% CI: 1.00-1.03).Discussion:We report on the first analyses to examine associations between message content and health care visits.Conclusions:Our findings are relevant to understanding how to better use secure messaging to support patients and their care.

Patient and Clinician Characteristics Associated With Secure Message Content: Retrospective Cohort Study.

BACKGROUND: Good communication has been shown to affect patient outcomes; however, the effect varies according to patient and clinician characteristics. To date, no research has explored the differences in the content of secure messages based on these characteristics. OBJECTIVE: This study aims to explore characteristics of patients and clinic staff associated with the content exchanged in secure messages. METHODS: We coded 18,309 messages that were part of threads initiated by 1031 patients with hypertension, diabetes, or both conditions, in communication with 711 staff members. We conducted four sets of analyses to identify associations between patient characteristics and the types of messages they sent, staff characteristics and the types of messages they sent, staff characteristics and the types of messages patients sent to them, and patient characteristics and the types of messages they received from staff. Logistic regression was used to estimate the strength of the associations. RESULTS: We found that younger patients had reduced odds of sharing clinical updates (odds ratio [OR] 0.77, 95% CI 0.65-0.91) and requesting prescription refills (OR 0.77, 95% CI 0.65-0.90). Women had reduced odds of self-reporting biometrics (OR 0.78, 95% CI 0.62-0.98) but greater odds of responding to a clinician (OR 1.20, 95% CI 1.02-1.42) and seeking medical guidance (OR 1.19, 95% CI 1.01-1.40). Compared with White patients, Black patients had greater odds of requesting preventive care (OR 2.68, 95% CI 1.30-5.51) but reduced odds of requesting a new or changed prescription (OR 0.72, 95% CI 0.53-0.98) or laboratory or other diagnostic procedures (OR 0.66, 95% CI 0.46-0.95). Staff had lower odds of sharing medical guidance with younger patients (OR 0.83, 95% CI 0.69-1.00) and uninsured patients (OR 0.21, 95% CI 0.06-0.73) but had greater odds of sharing medical guidance with patients with public payers (OR 2.03, 95% CI 1.26-3.25) compared with patients with private payers. Staff had reduced odds of confirming to women that their requests were fulfilled (OR 0.82, 95% CI 0.69-0.98). Compared with physicians, nurse practitioners had greater odds of sharing medical guidance with patients (OR 2.74, 95% CI 1.12-6.68) and receiving prescription refill requests (OR 3.39, 95% CI 1.49-7.71). Registered nurses had greater odds of deferred information sharing (OR 1.61, 95% CI 1.04-2.49) and receiving responses to messages (OR 3.93, 95% CI 2.18-7.11) than physicians. CONCLUSIONS: The differences we found in content use based on patient characteristics could lead to the exacerbation of health disparities when content is associated with health outcomes. Disparities in the content of secure messages could exacerbate disparities in patient outcomes, such as satisfaction, trust in the system, self-care, and health outcomes. Staff and administrators should evaluate how secure messaging is used to ensure that disparities in care are not perpetuated via this communication modality.

Classification of patient- and clinician-generated secure messages using a theory-based taxonomy.

BACKGROUND: As secure electronic message exchange increases between patients and clinicians, we must explore and understand how patients and clinicians use those messages to communicate between clinical visits. OBJECTIVE: To present the application of a taxonomy developed specifically to code secure message content in a way that allows for identification of patient and clinician communication functions demonstrated to be associated with patients' intermediate and health outcomes. METHOD: We randomly sampled 1031 patients who sent and received 18 309 messages and coded those messages with codes from our taxonomy. We present the prevalence of each taxon (ie, code) within the sample. RESULTS: The most common taxon among initial patient-generated messages were Information seeking (29.09%), followed by Scheduling requests (27.91%), and Prescription requests (23.09%). Over half of subsequent patient-generated messages included responses to clinic staffs' questions (58.31%). Six in 10 clinic staff responses included some form of Information sharing with process-based responses being most common (32.81%). A third of all clinician-generated messages (36.28%) included acknowledgement or some level of fulfilment of a patient's task-oriented request. Clinic staff sought information from patients in 20.54% of their messages. CONCLUSION: This taxonomy is the first step toward examining whether secure messaging communication can be associated with patients' health outcomes. Knowing which content is positively associated with outcomes can support training of, and targeted responses from, clinicians with the goal of generating message content designed to improve outcomes. PATIENT CONTRIBUTION: This study is based on analyses of patient-initiated secure message threads.

Associations Between Patient Health Outcomes and Secure Message Content Exchanged Between Patients and Clinicians: Retrospective Cohort Study.

BACKGROUND: The number of electronic messages securely exchanged between clinic staff and patients has risen dramatically over the last decade. A variety of studies explored whether the volume of messages sent by patients was associated with outcomes. None of these studies, however, examined whether message content itself was associated with outcomes. Because secure messaging is a significant form of communication between patients and clinic staff, it is critical to evaluate the context of the communication to best understand its impact on patient health outcomes. OBJECTIVE: To examine associations between patients' and clinicians' message content and changes in patients' health outcomes. METHODS: We applied a taxonomy developed specifically for secure messages to 14,394 patient- and clinic staff-generated messages derived from patient-initiated message threads. Our study population included 1602 patients, 50.94% (n=816) of whom initiated message threads. We conducted linear regression analyses to determine whether message codes were associated with changes in glycemic (A1C) levels in patients with diabetes and changes in systolic (SBP) and diastolic (DBP) blood pressure in patients with hypertension. RESULTS: Patients who initiated threads had larger declines in A1Cs (P=.01) compared to patients who did not initiate threads. Clinic nonresponse was associated with decreased SBP (ß=-.30; 95% CI -0.56 to -0.04), as were staffs' action responses (ß=-30; 95% CI -0.58 to -0.02). Increased DBP, SBP, and A1C levels were associated with patient-generated appreciation and praise messages and staff encouragement with effect sizes ranging from 0.51 (A1C) to 5.80 (SBP). We found improvements in SBP associated with patients' complaints (ß=-4.03; 95% CI -7.94 to -0.12). Deferred information sharing by clinic staff was associated with increased SBP (ß=1.29; 95% CI 0.4 to 2.19). CONCLUSIONS: This is the first research to find associations between message content and patients' health outcomes. Our findings indicate mixed associations between patient message content and patient outcomes. Further research is needed to understand the implications of this work; in the meantime, health care providers should be aware that their message content may influence patient health outcomes.

Disparities in Secure Messaging Uptake Between Patients and Physicians: Longitudinal Analysis of Two National Cross-Sectional Surveys.

BACKGROUND: Emails securely exchanged between patients and clinicians offer the promise of improved access to care and indirectly improved health outcomes. Yet research to date is mixed on who-among both patients and clinicians-is using secure messaging. OBJECTIVE: Using data from two large nationally representative cross-sectional surveys, this study aimed to compare the prevalence of secure messaging use among patients and their access to the functionality through their physicians, and to explore the clinical practice and physician characteristics and patient sociodemographic characteristics associated with the use of secure messaging. METHODS: We conducted regression analyses to identity statistical associations between self-reported secure messaging use and access, and the patient, practice, and physician characteristics from the National Health Interview Survey (NHIS) and the National Ambulatory Medical Care Survey (NAMCS). The NHIS data collected between 2013 and 2018, with approximately 150,000 adult individuals, were used to evaluate patient characteristics associated with email communication with clinicians. The NAMCS data included 7340 physicians who reported on secure messaging use between 2013 and 2016 and provided context on physician specialty, use of certified health information technology (IT), and practice size and ownership associated with secure messaging access and use. RESULTS: By 2016, two-thirds of ambulatory care visits were conducted by a physician who reported using secure messaging, up from 40.70% in 2013. The percentage of US residents who reported sending an email to their clinician, however, only increased from 7.22% to 16.67% between 2013 and 2018. We observed a strong positive association between certified health IT use and secure messaging use (odds ratio [OR] 11.46, 95% CI 7.55-17.39). Individuals who were black, had lower levels of education, had Medicaid or other public payer insurance, or those who were uninsured had reduced odds for using email to communicate with clinicians. No differences were observed in secure messaging use based on physician specialty, but significant differences were observed by practice size (OR 0.46, 95% CI 0.35-0.60 in solo practices vs nonsolo practices) and practice ownership (P<.001 for the different categories). CONCLUSIONS: This study is the first to use two large nationally representative surveys to produce longitudinal estimates on the access and use of patient-clinician email communication in the United States. The survey findings complement each other: one provides the patient perspective of their use and the other indicates potential patient access to secure messaging based on the use of the functionality by the physicians providing treatment. This study provides nationally representative data on the characteristics of patients and physicians who have access to and are using secure messaging. This information can be used to target interventions to promote adoption and use of secure messaging.

Look Who's Talking: Application of a Theory-Based Taxonomy to Patient-Clinician E-mail Messages.

Background: Patient-clinician communication between office visits may improve patient outcomes by increasing patients' information retention and offering opportunities for patient-centered communication. Secure electronic messaging offers one such communication modality, but evidence of associations between its use and patient outcomes is mixed. To date, no study has examined the relationship between message content and patient outcomes. Introduction: Secure message content provides context around patients' requests and whether clinicians responded in ways that improve care and outcomes. This study evaluates the use of a theory-based taxonomy to classify patients' and clinicians' message content and describes characteristics associated with coded content. Methods: We coded message threads initiated in 2017 by 73 randomly selected patients with hypertension and/or diabetes. Multiple codes could be applied to each message. Chi-square analyses identified differences by patients' demographics and health condition. Results: We analyzed 658 message threads composed of 1,751 clinician- and patient-generated messages, to which 2,055 taxonomic codes were assigned. Eighteen percent of patients' threads were unanswered. Most codes assigned to patient-generated messages were task-oriented (46%) or information seeking (26%) requests; 30% of clinician responses left those requests unfulfilled or unaddressed. Clinicians were more likely to recommend a patient be seen in the office based on patients' sex, age, and health condition. Furthermore, white patients were more likely to send, and receive from their clinicians, messages with praise and appreciation content compared with black patients. Conclusion: Further research is needed to better understand how and why these differences exist so that patient-clinician electronic messaging is optimized to improve patient outcomes.

Electronic clinical quality measure reporting challenges: findings from the Medicare EHR Incentive Program's Controlling High Blood Pressure Measure.

Objective: To identify physician and practice characteristics associated with high clinical and technical performance on the electronic clinical quality measure (eCQM) that calculates the proportion of patients with hypertension who have controlled blood pressure. Materials and Methods: The study included 268 602 physicians participating in the Medicare Electronic Health Record Incentive Program between 2011 and 2014. Independent variables included delivery reform participation and physician, practice level, and area characteristics. Successful technical performance was a reported eCQM with non-zero values in both the numerator and denominator. Successful clinical performance was a reported eCQM value of ≥70% hypertension control. Results: Physicians with longer experience using certified health information technology, participants in delivery reform programs, and specialists that traditionally manage hypertension were 5%-15% more likely to achieve 70% control. Physicians in smaller and rural practices and a subset of physicians unlikely to primarily manage hypertension were more likely to submit measures with a zero value in either the numerator or denominator. Discussion: More physicians are using eCQMs to track and report their quality improvement efforts. This research presents the first examination of national eCQM data to identify physician and practice-level characteristics associated with performance. Conclusion: With careful selection of measures relevant to the clinician's specialty, complete data entry, and support for continuous quality improvement, health care professionals can excel technically and clinically. As care delivery transitions from fee-for-service to quality- and value-based models, high performers may realize financial gains and better patient outcomes. These analyses suggest patterns that may inform steps to improve performance.

Physician and Practice-Level Drivers and Disparities around Meaningful Use Progress.

OBJECTIVE: To identify physician and practice characteristics that are markers of success for meaningful use of electronic health records (EHRs). DATA SOURCES: American Medical Association survey, Centers for Medicare & Medicaid Services' (CMS) EHR Incentive, Pioneer Accountable Care Organization, and PECOS Programs, the Office of the National Coordinator for Health IT's Regional Extension Center Program, and National Committee for Quality Assurance Patient-centered Medical Home certification program. STUDY DESIGN: Retrospective analysis of 865,370 physicians' participation in CMS's EHR Incentive Program and progress to stage 1 Meaningful Use between 2011 and 2013. Physician specialty, age, practice size, geographic markers, delivery reform participation, and technical assistance receipt were predictive elements. PRINCIPAL FINDINGS: Medicaid physicians were progressing more slowly to Meaningful Use than Medicare physicians: by 2013, 8 in 10 physicians registered with Medicare had achieved meaningful use, compared to one-third of Medicaid-registered physicians. The strongest predictors of meaningful use were technical assistance (79 percent more likely) and delivery reform participation (34 percent more likely). CONCLUSIONS: Continued outreach and technical assistance that demonstrates strong interactions between meaningful use of health IT and delivery reform may facilitate further adoption of both initiatives.

National findings regarding health IT use and participation in health care delivery reform programs among office-based physicians.

OBJECTIVE: Our objective was to characterize physicians' participation in delivery and payment reform programs over time and describe how participants in these programs were using health information technology (IT) to coordinate care, engage patients, manage patient populations, and improve quality. MATERIALS AND METHODS: A nationally representative cohort of physicians was surveyed in 2012 (unweighted N = 2567) and 2013 (unweighted N = 2399). Regression analyses used those survey responses to identify associations between health IT use and participation in and attrition from patient-centered medical homes (PCMHs), accountable care organizations (ACOs), and pay-for-performance programs (P4Ps). RESULTS: In 2013, 45% of physicians participated in PCMHs, ACOs, or P4Ps. While participation in each program increased (P < .05) between 2012 and 2013, program attrition ranged from 31-40%. Health IT use was associated with greater program participation (RR = 1.07-1.16). PCMH, ACO, and P4P participants were more likely than nonparticipants to perform quality improvement and patient engagement activities electronically (RR = 1.09-1.14); only ACO participants were more likely to share information electronically (RR = 1.07-1.09). DISCUSSION: Participation in delivery and payment reform programs increased between 2012 and 2013. Participating physicians were more likely to use health IT. There was significant attrition from and switching between PCMHs, ACOs, and P4Ps. CONCLUSION: This work provides the basis for understanding physician participation in and attrition from delivery and payment reform programs, as well as how health IT was used to support those programs. Understanding health IT use by program participants may help to identify factors enabling a smooth transition to alternative payment models.

Variation In Rural Health Information Technology Adoption And Use.

While rural hospitals and physicians have adopted health information technology at the same, or greater, rates as their urban counterparts, meaningful-use attestation varies dramatically among rural providers. Also, rural providers are more likely to skip a year of declaring that they have met meaningful-use requirements, putting them at a financial disadvantage compared to urban providers.

EHR adoption among ambulatory care teams.

OBJECTIVES: This study provides information on the types of practices that employ 2 types of advance practice providers (APPs), nurse practitioners (NPs) and physician assistants (PAs), and the association between employment of APPs and health information technology (IT) adoption by the practice. STUDY DESIGN: Three outcomes predicted the likelihood that practices employed at least 1 NP, at least 1 PA, or at least 1 of either type of APP; one outcome estimated electronic health record (EHR) adoption across practices; and 4 models assessed the EHR functionalities used by practices. METHODS: Data from SK and A Information Services' 2013 Office-Based Provider Database were used to estimate EHR adoption using a Poisson regression model. Independent variables included practice size, care setting, practice specialty, ownership, geographic region, whether a practice employed a NP, and whether a practice employed a PA. RESULTS: In 2013, three-fourths of practices that employed at least 1 APP had adopted an EHR. Practices that employed at least 1 APP were 9% to 12% more likely to have an EHR that had advanced functionalities, compared with practices without an APP. CONCLUSIONS: This study found an association between employment of APP staff and practice-level adoption of EHRs and practice-level adoption of certain EHR functionalities. Practices that employ APPs are prepared to implement team-based approaches to care that may be further enhanced through the use of health IT. Future research should examine how practices with APPs are using health IT to promote better health and coordinate care.

Using electronic clinical quality measure reporting for public health surveillance.

By June 2013, three fourths of office-based practicing physicians in the United States had adopted some form of electronic health record (EHR) system. With greater EHR use, more health data are linked with available patient demographic information in a format that is easily retrievable and collected at the point of care. This highlights the potential of electronic clinical quality measure (CQM) reporting data for use in monitoring population health for those receiving health care services. To assess this possibility, electronic CQM data that were submitted to the Medicare EHR Incentive Program were analyzed to assess provider progress toward achieving blood pressure control among their patients with hypertension. Approximately 63,000 health care providers reported at least 1 time over 3 years, representing approximately 17 million patients with hypertension. On average, 62% of patients with hypertension had controlled blood pressure. Use of EHR data for public health surveillance could streamline reporting, facilitating more timely and possibly more complete data collection in key areas of public health concern.

A national study of challenges to electronic health record adoption and meaningful use.

BACKGROUND: Adoption and implementation of electronic health records (EHRs) has not been without challenges as it infuses technology into what has been a historically manual process of recording patient information. In an effort to identify these challenges, the Office of the National Coordinator for Health Information Technology leveraged the Regional Extension Center population of over 140,000 providers to develop a structured way to track challenges to EHR adoption and Meaningful Use (MU). OBJECTIVES: This report summarizes challenges to EHR adoption and MU based on nationwide data supplied by 55 Regional Extension Centers reporting over 19,000 issues representing over 43,000 unique health care providers. Practices were grouped on the basis of their place in the lifecycle of EHR adoption and MU achievement. RESULTS: Provider engagement and administrative issues were among the more common issues reported across all cohorts. The most challenging MU measure was the clinical summaries measure, but MU Measure challenges varied by practice setting. CONCLUSIONS: EHR adoption and MU challenges are unique to practice setting and stage of the adoption process.

Integrating clinical practice and public health surveillance using electronic medical record systems.

Electronic medical record (EMR) systems have rich potential to improve integration between primary care and the public health system at the point of care. EMRs make it possible for clinicians to contribute timely, clinically detailed surveillance data to public health practitioners without changing their existing workflows or incurring extra work. New surveillance systems can extract raw data from providers' EMRs, analyze them for conditions of public health interest, and automatically communicate results to health departments. We describe a model EMR-based public health surveillance platform called Electronic Medical Record Support for Public Health (ESP). The ESP platform provides live, automated surveillance for notifiable diseases, influenza-like illness, and diabetes prevalence, care, and complications. Results are automatically transmitted to state health departments.

Integrating clinical practice and public health surveillance using electronic medical record systems.

Electronic medical record (EMR) systems have rich potential to improve integration between primary care and the public health system at the point of care. EMRs make it possible for clinicians to contribute timely, clinically detailed surveillance data to public health practitioners without changing their existing workflows or incurring extra work. New surveillance systems can extract raw data from providers' EMRs, analyze them for conditions of public health interest, and automatically communicate results to health departments. The current paper describes a model EMR-based public health surveillance platform called Electronic Medical Record Support for Public Health (ESP). The ESP platform provides live, automated surveillance for notifiable diseases, influenza-like illness, and diabetes prevalence, care, and complications. Results are automatically transmitted to state health departments.

Enhancing surveillance for hepatitis C through public health informatics.

Disease surveillance for hepatitis C in the United States is limited by the occult nature of many of these infections, the large volume of cases, and limited public health resources. Through a series of discrete processes, the Massachusetts Department of Public Health modified its surveillance system in an attempt to improve timeliness and completeness of reporting and case follow-up of hepatitis C. These processes included clinician-based reporting, electronic laboratory reporting, deployment of a Web-based disease surveillance system, automated triage of pertinent data, and automated character recognition software for case-report processing. These changes have resulted in an increase in the timeliness of reporting.

Evaluating real-time syndromic surveillance signals from ambulatory care data in four states.

OBJECTIVES: We evaluated a real-time ambulatory care-based syndromic surveillance system in four metropolitan areas of the United States. METHODS: Health-care organizations and health departments in California, Massachusetts, Minnesota, and Texas participated during 2007-2008. Syndromes were defined using International Classification of Diseases, Ninth Revision diagnostic codes in electronic medical records. Health-care organizations transmitted daily counts of new episodes of illness by syndrome, date, and patient zip code. A space-time permutation scan statistic was used to detect unusual clustering. Health departments followed up on e-mailed alerts. Distinct sets of related alerts ("signals") were compared with known outbreaks or clusters found using traditional surveillance. RESULTS: The 62 alerts generated corresponded to 17 distinct signals of a potential outbreak. The signals had a median of eight cases (range: 3-106), seven zip code areas (range: 1-88), and seven days (range: 3-14). Two signals resulted from true clusters of varicella; six were plausible but unconfirmed indications of disease clusters, six were considered spurious, and three were not investigated. The median investigation time per signal by health departments was 50 minutes (range: 0-8 hours). Traditional surveillance picked up 124 clusters of illness in the same period, with a median of six ill per cluster (range: 2-75). None was related to syndromic signals. CONCLUSIONS: The system was able to detect two true clusters of illness, but none was of public health interest. Possibly due to limited population coverage, the system did not detect any of 124 known clusters, many of which were small. The number of false alarms was reasonable.

Population-based surveillance for childhood invasive pneumococcal disease in the era of conjugate vaccine.

BACKGROUND: Heptavalent pneumococcal conjugate vaccine was licensed in the United States in February 2000 and, following national guidelines, universally distributed in Massachusetts starting in July 2000 to children younger than 2 years of age and selected children 2-5 years of age. We performed statewide surveillance for all cases of invasive pneumococcal disease (IPD) in children younger than 18 years of age to determine risk features and contribution of vaccine failure to ongoing pneumococcal invasive disease. METHODS: Massachusetts pediatric IPD cases were identified via enhanced passive surveillance of microbiology laboratory reports of pneumococcal isolates from sterile body sites of children younger than 18 years for 2 years starting in October 2001. Serotyping was performed on isolates of Streptococcus pneumoniae from normally sterile body fluid. Case demographic and clinical data (including dates of prior doses of PCV7) were collected via follow-up telephone interviews with case primary care providers and/or parents. RESULTS: Between October 1, 2001 and September 30, 2003, 191 cases of IPD were identified statewide (138 in children younger than 5 years). Annual incidence rate for IPD was 17.4 per 100,000 children younger than 5 years, representing a decline of 69% when compared with annual incidence rate of 56.9 per 100,000 from Massachusetts statewide active surveillance performed 1990-1991. In 2001-2003, 30% of cases occurred in the first year of life (36.5 per 100,000), representing a 7.8-fold increased risk compared with children older than 1 year of age. Race-specific annual incidence rates in blacks and Hispanics were 2.3-fold (95% confidence interval, 1.21-4.42) and 1.9-fold (95% confidence interval, 1.06-3.37), greater than in whites. Fifty-nine cases were reported to have underlying comorbid conditions. Serotyping was available for 136 of 191 (71%) cases younger than 18 years; of isolates available for serotyping, 40 (29%) were vaccine serotype (ST), 31 (23%) vaccine-related ST and 65 (48%) nonvaccine ST. Seven of 40 cases with IPD caused by vaccine ST received at least 3 doses of PCV7 vaccine before IPD. CONCLUSIONS: Universal administration of PCV7 to children younger than 2 years of age and selective administration to children 2-5 years of age has resulted in a significant decline in IPD in Massachusetts. Children younger than 1 year of age, African American and Hispanic children and those with recognized comorbid illnesses (malignancy, human immunodeficiency virus, immune deficiency, nephrotic syndrome, etc.) continue to remain at risk for IPD. These risk features should be considered when evaluating febrile infants and children.