scholarly journals Using a Chatbot to Assess Hereditary Cancer Risk

2020 ◽  
pp. 787-793
Author(s):  
Brandon M. Welch ◽  
Caitlin G. Allen ◽  
Jordon B. Ritchie ◽  
Heath Morrison ◽  
Chanita Hughes-Halbert ◽  
...  
Keyword(s):  
United States ◽  
Hereditary Cancer ◽  
Family Health ◽  
Population Level ◽  
The United States ◽  
Family Health History ◽  
Online Marketing ◽  
Web Based ◽  
Hereditary Cancers ◽  
Health History

PURPOSE We developed a Web-based chatbot (ItRunsInMyFamily.com) to help individuals collect their family health history (FHx) and determine their risk for hereditary cancer. The purpose of the current study was to assess the characteristics of users and identify opportunities to improve the FHx collection tool. METHODS During Family Health History Month (November 2019) we launched an FHx campaign using social media advertisements to raise awareness about hereditary cancers and encourage individuals in the general population to use ItRunsInMyFamily to collect their FHx. Through this campaign, we were able to gather information about users and identify opportunities to improve the tool. RESULTS We reached 14,140 users in November 2019 through online marketing campaigns—Facebook, Google, previous ItRuns users, and Web site marketing. Of those, 3,204 completed the full FHx assessment and received risk recommendations. The campaign targeted women between age 40 and 60 years. Users came from 3,783 counties around the United States, 48 unique cancers were reported among probands, and 79 unique cancers were reported among family members, an average of two and a half cancers per family. CONCLUSION Our results demonstrate that it is possible to gather FHx information at the population level, with high levels of engagement and interest in the topic. There is room for future enhancements and improvements to ItRunsInMyFamily to broaden its reach and encourage individuals to learn about and record their health information.

scholarly journals Health Heritage©, a Web-Based Tool for the Collection and Assessment of Family Health History: Initial User Experience and Analytic Validity

2010 ◽  
Vol 13 (7-8) ◽  
pp. 477-491 ◽  
Author(s):  
W.F. Cohn ◽  
M.E. Ropka ◽  
S.L. Pelletier ◽  
J.R. Barrett ◽  
M.B. Kinzie ◽  
...  
Keyword(s):  
User Experience ◽  
Family Health ◽  
Family Health History ◽  
Web Based ◽  
Health History ◽  
Analytic Validity

Enabling Patients to Receive Clinical Practice Guideline Recommendations for Hereditary Cancer Risk Using Chatbots, Family History, Application Programming Interfaces (API), Ontologies, and Owlready2: System Description (Preprint)

2021 ◽  
Author(s):  
Jordon Bryan Ritchie ◽  
Lewis Frey ◽  
Jean-Baptiste Lamy ◽  
Cecelia Bellcross ◽  
Heath Morrison ◽  
...  
Keyword(s):  
At Risk ◽  
Clinical Practice ◽  
Cancer Risk ◽  
Clinical Practice Guideline ◽  
Practice Guideline ◽  
Hereditary Cancer ◽  
Family Health ◽  
Family Health History ◽  
Health History ◽  
Patients At Risk

BACKGROUND Identifying patients at risk of hereditary cancer based on their family health history is a highly nuanced task. Frequently, patients at risk are not referred for genetic counseling because providers lack time and training to collect and assess family health history. Consequently, patients at risk are not receiving the genetic counseling and testing they need to determine the preventive steps they should take to mitigate their risk. OBJECTIVE Enable patients to receive clinical practice guideline recommendations for their hereditary cancer risk based on their family health history with mobile friendly technology. METHODS We combined chatbots, web application programming interfaces, clinical practice guidelines, and ontologies into a web service oriented system that can automate family health history collection and assessment. We used Owlready2 and Protégé to develop a lightweight, patient-centric, clinical practice guideline domain ontology using hereditary cancer criteria from the American College of Medical Genetics and Genomics and the National Cancer Comprehensive Network. RESULTS The domain ontology has 758 classes, 20 object properties, 23 datatype properties, and 42 individuals and encompasses 44 cancers, 144 genes, and 113 clinical practice guideline criteria. So far, it has been used to assess over 5,000 family health history cases. We created 192 test cases to ensure concordance with clinical practice guidelines. The average test case completes in 4.5 seconds, the longest in 19.6 seconds, and the shortest in 2.9 seconds. CONCLUSIONS By engaging the chatbot, patients can collect and assess their family health history prior to visiting with their provider. Earlier identification of patients at risk of hereditary cancer leads to earlier and more effective preventive actions for managing hereditary cancer risk.

scholarly journals Patterns of dental antibiotic prescribing in 2017: Australia, England, United States, and British Columbia (Canada)

2021 ◽  
pp. 1-8
Author(s):  
Wendy Thompson ◽  
Leanne Teoh ◽  
Colin C. Hubbard ◽  
Fawziah Marra ◽  
David M. Patrick ◽  
...  
Keyword(s):  
United States ◽  
British Columbia ◽  
Broad Spectrum ◽  
Antibiotic Prescription ◽  
Population Level ◽  
The United States ◽  
Antibiotic Prescribing ◽  
Prescribing Behavior ◽  
The Us ◽  
Amoxicillin Clavulanic Acid

Abstract Objective: Our objective was to compare patterns of dental antibiotic prescribing in Australia, England, and North America (United States and British Columbia, Canada). Design: Population-level analysis of antibiotic prescription. Setting: Outpatient prescribing by dentists in 2017. Participants: Patients receiving an antibiotic dispensed by an outpatient pharmacy. Methods: Prescription-based rates adjusted by population were compared overall and by antibiotic class. Contingency tables assessed differences in the proportion of antibiotic class by country. Results: In 2017, dentists in the United States had the highest antibiotic prescribing rate per 1,000 population and Australia had the lowest rate. The penicillin class, particularly amoxicillin, was the most frequently prescribed for all countries. The second most common agents prescribed were clindamycin in the United States and British Columbia (Canada) and metronidazole in Australia and England. Broad-spectrum agents, amoxicillin-clavulanic acid, and azithromycin were the highest in Australia and the United States, respectively. Conclusion: Extreme differences exist in antibiotics prescribed by dentists in Australia, England, the United States, and British Columbia. The United States had twice the antibiotic prescription rate of Australia and the most frequently prescribed antibiotic in the US was clindamycin. Significant opportunities exist for the global dental community to update their prescribing behavior relating to second-line agents for penicillin allergic patients and to contribute to international efforts addressing antibiotic resistance. Patient safety improvements will result from optimizing dental antibiotic prescribing, especially for antibiotics associated with resistance (broad-spectrum agents) or C. difficile (clindamycin). Dental antibiotic stewardship programs are urgently needed worldwide.

scholarly journals Conversational systems for family health history collection for geriatric population

2019 ◽  
Vol 63 (1) ◽  
pp. 47-48
Author(s):  
Amal Ponathil ◽  
Necmettin Firat Ozkan ◽  
Jeffrey Bertrand ◽  
Brandon Welch ◽  
Kapil Chalil Madathil
Keyword(s):  
Family Health ◽  
Family Health History ◽  
Geriatric Population ◽  
Health History

Master-planned communities in the United States as novel contexts for individual and population-level research

2021 ◽  
pp. 106864
Author(s):  
Kristen Nishimi ◽  
Emma Glickman ◽  
Kathryn Smith ◽  
Eran Ben-Joseph ◽  
Shelley Carson ◽  
...  
Keyword(s):  
United States ◽  
Population Level ◽  
The United States ◽  
Planned Communities ◽  
Master Planned Communities
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