scholarly journals Public Health/Health Information Exchange Collaborative: A Model for Advancing Public Health Practice

2010 ◽  
Vol 2 (2) ◽  
Author(s):  
Charles Magruder
Keyword(s):  
Public Health ◽  
Health Information ◽  
Information Exchange ◽  
Health Information Exchange ◽  
Public Health Practice ◽  
Health Practice

scholarly journals Transforming Public Health Surveillance Through Open Public Health Information

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Janelle Kibler ◽  
Scott McNabb ◽  
James Lavery ◽  
Ziad Memish ◽  
Affan Shaikh ◽  
...  
Keyword(s):  
Public Health ◽  
Health Information ◽  
Public Health Surveillance ◽  
Public Health Practice ◽  
Health Data ◽  
Health Surveillance ◽  
Health Practice ◽  
Public Health Data ◽  
Health Authorities ◽  
Public Health Information

ObjectiveThe goal of this editorial is to shed light on the lack of transparency that exists in the sharing of Public Health data and to reverse this presumption in favour of open public health information properly vetted and openly accessible. Open public health information is a critical step to revitalize public health practice and is a human right.IntroductionPublic health practice that prevents, detects, and responds to communicable and noncommunicable disease threats is hindered by poor access to public health data and information. This includes timely sharing of case-based information, respecting patent and publication rights, and the ethical sharing of specimens. Disagreements about information shared and under what circumstances plus who has right to the data, clinical specimens, and their derivative products impede research and countermeasures. Delayed or inaction by public health authorities undermines trust and exacerbates the crisis. Evident in 2014 by the delayed Public Health Emergency of International Concern declaration of the Ebola virus outbreak in West Africa by the World Health Organization, the governing presumption is that access to public health information should be restricted, constrained, or even hoarded; this is a failed approach. This lack of transparency prevents information availability when and where it is needed and obstructs public health efforts to efficiently and ethically prevent, detect, and respond to emerging threats. A better way forward is to reverse this presumption in favour of open public health information properly vetted and openly accessible. Open public health information is a critical step to revitalize public health practice and is a human right.While there is limited global consensus among scientists and public health practitioners on best practices to guide national health authorities, researchers, NGOs, and industry as they navigate the ethical, political, technical, and economic challenges associated with the sharing of essential public health information (e.g., pathogen isolates, clinical specimens, and patient-related data), grounding this discussion on the guiding principles of open public health information can help navigate the complex privacy, security, communication, and access needs, and ensure that collaboration and sharing occur in a manner that is ethically and socially just, efficient, and equitable. Built on existing governance frameworks such as the International Health Regulations (IHRs) and the Pandemic Influenza Preparedness Framework (PIP), open public health can transform public health surveillance, allowing for the rapid sharing of data and products during outbreaks for mutual benefit and enhanced global health security.MethodsThis abstract represents a larger editorial style manuscript, thus no methods were developed in the abstract.ResultsThis editorial style manuscript aims to reverse the presumption that public health data is damaging to one in favour of open public health information properly vetted and openly accessible.ConclusionsSimilar to other open movements (i.e., open data, open government, open development, and open science) that seek to address the world’s greatest challenges through transparency, collaboration, reuse of and free access to ideas, open public health offers an ideal solution to overcome the challenges in the 21st century.

scholarly journals Health Information Exchange: A Novel Re-linkage Intervention in an Urban Health System

2019 ◽  
Vol 6 (10) ◽  
Author(s):  
Joseph Sharp ◽  
Christine D Angert ◽  
Tyania Mcconnell ◽  
Pascale Wortley ◽  
Eugene Pennisi ◽  
...  
Keyword(s):  
Public Health ◽  
Health System ◽  
Health Information ◽  
Information Exchange ◽  
Viral Suppression ◽  
Health Information Exchange ◽  
Linkage To Care ◽  
Primary Analysis ◽  
Adjusted Risk ◽  
Hiv 1

Abstract Background Public health information exchanges (HIEs) link real-time surveillance and clinical data and can help to re-engage out-of-care people with HIV (PWH). Methods We conducted a retrospective cohort study of out-of-care PWH who generated an HIE alert in the Grady Health System (GHS) Emergency Department (ED) between January 2017 and February 2018. Alerts were generated for PWH who registered in the GHS ED without Georgia Department of Public Health (GDPH) CD4 or HIV-1 RNA in the prior 14 months. The alert triggered a social work (SW)–led re-linkage effort. Multivariate logistic regression analyses used HIE-informed SW re-linkage efforts as the independent variable, and linkage to care and 3- and 6-month viral suppression (HIV-1 RNA < 200 c/mL) as primary outcomes. Patients admitted to the hospital were excluded from primary analysis. Results One hundred forty-seven out-of-care patients generated an alert. Ninety-eight were included in the primary analysis (mean age [SD], 41 ± 12 years; 70% male; 93% African American), and 20 received the HIE-informed SW intervention. Sixty percent of patients receiving the intervention linked to care in 6 months, compared with 35% who did not. Patients receiving the intervention were more likely to link to care (adjusted risk ratio [aRR], 1.63; 95% confidence interval [CI], 0.99–2.68) and no more likely to achieve viral suppression (aRR, 1.49; 95% CI, 0.50–4.46) than those who did not receive the intervention. Conclusions An HIE-informed, SW-led intervention systematically identified out-of-care PWH and may increase linkage to care for this important population. HIEs create an opportunity to intervene with linkage and retention strategies.

scholarly journals Use of Health Information Exchange Improved the Identification of Healthcare-Associated Group A Streptococcus Infections

2020 ◽  
Vol 41 (S1) ◽  
pp. s423-s423
Author(s):  
Alana Cilwick ◽  
Alexis Burakoff ◽  
Wendy Bamberg ◽  
Geoffrey Brousseau ◽  
Nisha Alden ◽  
...  
Keyword(s):  
Public Health ◽  
Health Information ◽  
Information Exchange ◽  
Health Information Exchange ◽  
Healthcare Facilities ◽  
Associated Gas ◽  
Case Ascertainment ◽  
Outbreak Investigations ◽  
Group A ◽  
Healthcare Associated

Background: Healthcare-associated group A Streptococcus (GAS) infections can cause severe morbidity and death. Invasive GAS is a reportable condition in the 5-county metropolitan area of Denver, Colorado. Prior to August 2018, methodology to identify long-term care facility (LTCF) residency among reported GAS cases was accomplished by reviewing addresses reported electronically, and identification of postsurgical cases and outbreaks relied on reporting by healthcare facilities. We evaluated whether the use of a health information exchange (HIE) to identify healthcare exposures improved our ability to detect and rapidly respond to these events. Methods: In August 2018, we implemented a review of health records available in the HIE accessible by the Colorado Department of Public Health and Environment for all incoming reports of GAS for selected healthcare exposures: LTCF residency, surgery, delivery, wound care, and other relevant exposures. We defined an LTCF-related case as GAS in a current or recent resident (ie, in the 14 days prior to the positive culture) of an LTCF. Postpartum and postsurgical cases were defined as GAS isolated from a sterile site or wound during the inpatient stay or within 7 days of discharge following a delivery or surgical procedure. Outbreaks in each of these settings were defined as 2 or more cases within a 3-month period. We compared the number of cases and outbreaks identified in each category during a 1-year period before and after implementation of the use of the HIE in the case ascertainment process. Results: During August 2017 through July 2018, prior to implementation of the HIE process, we detected 45 LTCF cases and conducted outbreak investigations in 9 facilities. Moreover, 1 postsurgical case and 1 postpartum outbreak were reported by healthcare facilities; none were detected via surveillance. During August 2018 through July 2019, after the implementation of HIE process, we identified 70 LTCF cases and conducted outbreak investigations in 13 LTCFs. We detected 5 postsurgical cases and 3 postpartum cases, which resulted in 2 outbreak investigations. Conclusions: Enhanced GAS surveillance through use of a HIE resulted in detection of more healthcare-associated GAS infections and outbreaks. Timely identification of healthcare-associated GAS infections can allow for prompt response to outbreaks and promotion of proper infection control practices to prevent further cases. Jurisdictions in which GAS is a reportable condition should consider the use of HIEs as part of routine surveillance to identify GAS outbreaks in high-risk settings. HIEs should be made available to public health agencies for case ascertainment and outbreak identification.Funding: NoneDisclosures: None

scholarly journals Surveillance of Stillbirth and Syphilis Screening Using Electronic Health Records

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Brian E Dixon ◽  
Jane Wang ◽  
Timothy E O'Connor ◽  
Janet N Arno
Keyword(s):  
Public Health ◽  
Electronic Health Records ◽  
Health Information ◽  
Information Exchange ◽  
Health Information Exchange ◽  
Congenital Syphilis ◽  
The United States ◽  
Health Records ◽  
Syphilis Testing ◽  
Electronic Health

Objective: To measure stillbirth delivery rates and syphilis screening rates among women with a stillbirth delivery using electronic health record data available in a health information exchange.Introduction: Reports of infants born with congenital syphilis have increased in the United States every year since 2012. Prevention depends on high performing surveillance systems and compliance with the U.S. Centers for Disease Control and Prevention (CDC) recommendations to perform syphilis testing early in pregnancy, in the third trimester and at delivery if a woman is at high risk, and following a stillbirth delivery. These guidelines exist, because untreated syphilis is associated with adverse fetal outcomes including central nervous system infection and death.Surveillance of congenital syphilis and stillbirth is challenging because available data sources are limited. Assessment of compliance with testing guidelines is particularly challenging, since public health agencies often lack access to comprehensive cohorts of tested individuals as most public health laws only require reporting of positive disease case information.Methods: Using integrated electronic health records available in a community-based health information exchange, we examined syphilis testing patterns for women with a stillbirth delivery in Indiana between 2010-2016. The cohort was examined to determine whether the women received syphilis testing in accordance with the CDC recommendations. During this time period, Indiana recorded around 84,000 live births per year.Data were extracted from electronic health records, including encounter data, laboratory test results and procedure data, captured by the Indiana Network for Patient Care (INPC), one of the largest community-based HIE networks in the United States. The INPC connects over 90 health care facilities, including hospitals, physicians’ practices, pharmacy networks, long-term post-acute care facilities, laboratories, and radiology centers. In addition to clinical care, the INPC supports surveillance of STIs1.Women with a stillbirth delivery were identified using International Classification of Disease (ICD) Clinical Modification (CM) codes from the 9thand 10th editions (ICD-CM-9 and ICD-CM-10). Inclusion codes: ICD-CM-9 codes 656.4, 779.9, V27.1, V27.3, V27.4, V27.6, V27.7, V32.01, V32.1, V32.2, V36.1; and ICD-CM-10 codes P95, P96.9, O36.4, Z37.1, Z37.3, Z37.4, Z37.9.Using the master person index for the INPC, we linked stillbirth deliveries with pregnancy encounters and laboratory testing data. We analyzed documentation of syphilis testing during the pregnancy (up to 270 days prior to the stillbirth delivery) as well as after the stillbirth delivery (up to 30 days). Broad time ranges were utilized to account for potential delays in reporting of either the stillbirth delivery or the syphilis test results. Documentation could include either presence of a result from a laboratory test for syphilis or a CPT code (80055, 86780, 86781, 86592, 86593) indicating performance of a syphilis test.Results: A total of 4,361 stillbirth deliveries attributable to 4,265 unique women were identified in the INPC between 2010-2016; representing a rate of 7.44 stillbirths per 1,000 live births during the same time period. Of the stillbirth deliveries, syphilis testing occurred within 270 days prior to or 30 days after delivery for 2,763 (63.4%) cases. Figure 1 displays the number of stillbirth cases observed each year and the number of cases in which syphilis testing occurred during the pregnancy or after delivery.Conclusions: Using integrated electronic health records data, we discovered that fetal deaths occurred more frequently (7.44 versus 4.09 per 1,000) than previously estimated2 through fetal death reporting mechanisms in Indiana. Furthermore, we observed increasing rates of stillbirth within Indiana in recent years. Integrated data further enabled measurement of syphilis testing rates for stillbirth cases, which were similar to those reported by Patel et al.3using a large, national administrative data set. Testing rates in Indiana are well below the targets set by national and international public health organizations. Accessing more complete data on populations using a health information exchange is valuable, although doing so may uncover a more negative picture of health in one’s community. Deeper analysis of these trends is warranted to explore factors related to increasing rates as well as limited testing in this population.

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