Background: Primary care pediatricians play an important role in genetic testing, including referrals, test ordering, responding to results, assessing risk, treatment, and managing care. As genetic testing rapidly evolves to include new tests identifying patients at risk for certain conditions, alert-based clinical decision support is insufficient in assisting pediatric primary care providers in working with patients, parents, genetics, and other specialties. Supporting pediatricians in the return of these results requires addressing gaps in genetics training and integrating genetics into practice with education, information resources, and specialized tools.
Objectives: This study aimed to capture requirements for developing systems and processes to support primary care pediatricians in the return of genome-informed risk assessments.
Methods: We performed a requirements analysis to inform the design of clinical decision support tools and processes for pediatric providers of patients who received a genome informed risk assessment, a novel test that combines polygenic risk scores with patient and family histories to deliver a risk assessment for common medical conditions. We developed an interview guide consisting of scenario presentations, questionnaires, and semi-structured questions to elicit provider responses on a broad set of requirements to manage results with patients and caregivers.
Results: Twenty providers from 10 primary care pediatric practices within a single health system participated in the study. The findings demonstrated that providers feel responsible to be involved in the process of returning results but require a support system that integrates education, provider and patient information resources, effective communication with genetics, and electronic health record decision support tools that can accommodate a range of clinical scenarios and provider workflow preferences.
Conclusion: Supporting providers with the return of genetic testing results such as the genome informed risk assessment requires a comprehensive approach to decision support consisting of education, communication, and a comprehensive and integrated set of electronic health record tools.
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http://dx.doi.org/10.1055/a-2445-9185 | DOI Listing |
Infect Control Hosp Epidemiol
March 2025
Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Objective: To better understand clinicians' rationale for ordering testing for infection (CDI) for patients receiving laxatives and the impact of the implementation of a clinical decision support (CDS) intervention.
Design: A mixed-methods, case series was performed from March 2, 2017 to December 31, 2018.
Setting: Yale New Haven Hospital, a 1,541 bed tertiary academic medical center.
BJPsych Open
March 2025
Department of Medicine, University of Otago, Christchurch, New Zealand.
Background: Clozapine-induced gastrointestinal hypomotility and constipation can result in severe and sometimes fatal gastrointestinal complications. Laxatives should be prophylactically prescribed with clozapine, but this is inconsistently achieved. Digital clinical decision support (CDS) alerts can promote safer prescribing.
View Article and Find Full Text PDFFront Immunol
March 2025
Specialised Microbiology and Laboratories, United Kingdom Health Security Agency (UKHSA), Salisbury, Wiltshire, United Kingdom.
Introduction: Nipah virus (NiV) is one of a group of highly pathogenic viruses classified within the Henipavirus genus. Since 2012 at least 11 new henipa-like viruses have been identified, including from new locations and reservoir hosts; the pathogenicity of these new viruses has yet to be determined, but two of them have been associated with morbidity, including fatalities.
Methods: The efficacy and cross-reactivity of two vaccine candidates derived from the soluble glycoproteins of both NiV and Hendra virus (HeV) was evaluated in our recently established hamster model.
Front Public Health
March 2025
Sinai Urban Health Institute, Sinai Chicago, Chicago, IL, United States.
The United States has poor birth outcomes, including high rates of infant mortality and substantial racial inequities, compared to other developed nations. However, both overall mortality rates and racial inequities in rates vary across locations, emphasizing the structural forces that shape population health. We used mortality and natality data from the National Vital Statistics System to assess racial inequities in infant mortality rates within the most populous US cities for 2018-2021.
View Article and Find Full Text PDFFront Public Health
March 2025
National Center Rare Diseases - Undiagnosed Rare Diseases Interdepartmental Unit, Istituto Superiore di Sanità, Rome, Italy.
Background: Undiagnosed rare diseases (URDs) are a complex and multifaceted challenge, especially in low-and medium-income countries. They affect individuals with unique clinical features and lack a clear diagnostic label. Although the Undiagnosed Diseases Network International (UDNI) definition of URDs is not universally accepted, it is widely recognized.
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