Development of a computer-based tool to obtain a family health history in Vietnam

Tieu, Linh Ba;Nguyen, Vinh Nhu;Tran, Phu Gia;Truong, Hieu Minh;Nguyen, Tuyet-Lan Thi;Nguyen, Vu Quoc Huy;Ha, Thi Minh Thi;Nguyen, Nguyen Huu;Lu, Y-Thanh;Tran, Huong-Thao Xuan;Nguyen, Quynh-Tho Thi;Nguyen, Quynh Nhat;Le, Toan Thanh;Truong, Viet Hoang;Bui, Minh Binh;Truong, Dinh-Kiet;Thi, Thanh-Thuy;Nguyen, Hoai-Nghia;Quan, Dieu Chan;Tang, Hung-Sang

Description

Background: Family health history (FHH) is central to human genomic profiling construction; however, there is no protocol for documenting FHH in a pedigree format in Vietnam. Aim: A “Gia Su Suc Khoe” (GSSK) tool was developed to create a user-friendly interface for collecting FHH and offering diseases' risk assessment. Results: A tool was described (https://giasusuckhoe.vn/) with good feedback from genetic counselors and family-medicine doctors. Among 20 surveys, 100% of respondents noted that the report accurately reflected their FHH and were satisfied with the tool's display. About 74% of familial conditions were covered. Overall, all constructive feedback has been adapted into the updated version. Conclusion: Gia Su Suc Khoe has the potential to significantly improve healthcare delivery and outcomes in Vietnam. Family health history (FHH) has been a primordial, non-expensive, and non-invasive risk stratification tool to inform prevention and screening strategies, especially for common genetic conditions. A new program developed in Vietnam namely Gia Su Suc Khoe (GSSK) not only utilizes a pedigree format to capture FHH but also performs risk assessments for various preventable and prevalent genetic disorders. GSSK is a self-administered, patient-centric and computerized program for obtaining Vietnamese FHH (https://giasusuckhoe.vn/), which receives positive feedback from genetic counselors and family-medicine doctors on its effectiveness, precision, and practical implications. GSSK becomes the pioneering program to help obtain FHH in Vietnam, which is believed to address several barriers, ensure high-quality information and leverage it for risk assessment.

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Metrics

Dataset Index

1.0

FAIR Score

81%

Citations

1

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0

Metrics Over Time

Publication Details

DOI

Publisher

Taylor & Francis

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Education

Field

Social Sciences

Domain

Social Sciences

Confidence Score

40%

Source

Scholar Data Model

Keywords

MedicineGeneticsFOS: Biological sciencesPharmacologyBiotechnologyBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedCancerScience PolicyMental Health

Normalization Factors

FT

43.27

CTw

1.00

MTw

1.00