Evaluation of family health history collection methods impact on data and risk assessment outcomes
Information technology applications for patient-collection of family health history (FHH) increase identification of elevated-risk individuals compared to usual care. It is unknown if the method of collection impacts data collected or if simply going directly to the patient is what makes the differe...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2020-06-01
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| Series: | Preventive Medicine Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2211335520300322 |
| _version_ | 1831670349169688576 |
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| author | R. Ryanne Wu Rehena Sultana Yasmin Bylstra Saumya Jamuar Sonia Davila Weng Khong Lim Geoffrey S. Ginsburg Lori A. Orlando Khung Keong Yeo Stuart A. Cook Patrick Tan |
| author_facet | R. Ryanne Wu Rehena Sultana Yasmin Bylstra Saumya Jamuar Sonia Davila Weng Khong Lim Geoffrey S. Ginsburg Lori A. Orlando Khung Keong Yeo Stuart A. Cook Patrick Tan |
| author_sort | R. Ryanne Wu |
| collection | DOAJ |
| description | Information technology applications for patient-collection of family health history (FHH) increase identification of elevated-risk individuals compared to usual care. It is unknown if the method of collection impacts data collected or if simply going directly to the patient is what makes the difference. The objective of this study was to examine differences in data detail and risk identification rates between FHH collection directly from individuals using paper-based forms and an interactive web-based platform. This is a non-randomized epidemiologic study in Singaporean population from 2016 to 2018. Intervention was paper-based versus web-based interactive platform for FHH collection. Participant demographics, FHH detail, and risk assessment results were analyzed. 882 participants enrolled in the study, 481 in the paper-based group and 401 in the web-based group with mean (SD) age of 45.4 (12.98) years and 47.5% male. Web-based FHH collection participants had an increased number of conditions per relative (p-value <0.001), greater frequency of reporting age of onset (p-value <0.001), and greater odds of receiving ≥1 risk recommendation both overall (OR: 3.99 (2.41, 6.59)) and within subcategories of genetic counselling for hereditary cancer syndromes (p-value = 0.041) and screening and prevention for breast (p-value = 0.002) and colon cancer (p-value = 0.005). This has significant implications for clinical care and research efforts where FHH is being assessed. Using interactive information technology platforms to collect FHH can improve the completeness of the data collected and result in increased rates of risk identification. Methods of data collection to maximize benefit should be taken into account in future studies and clinical care. |
| first_indexed | 2024-12-19T23:15:49Z |
| format | Article |
| id | doaj.art-6072f03b04f2468faffe6be7da0487fc |
| institution | Directory Open Access Journal |
| issn | 2211-3355 |
| language | English |
| last_indexed | 2024-12-19T23:15:49Z |
| publishDate | 2020-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Preventive Medicine Reports |
| spelling | doaj.art-6072f03b04f2468faffe6be7da0487fc2022-12-21T20:02:06ZengElsevierPreventive Medicine Reports2211-33552020-06-0118Evaluation of family health history collection methods impact on data and risk assessment outcomesR. Ryanne Wu0Rehena Sultana1Yasmin Bylstra2Saumya Jamuar3Sonia Davila4Weng Khong Lim5Geoffrey S. Ginsburg6Lori A. Orlando7Khung Keong Yeo8Stuart A. Cook9Patrick Tan10Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University School of Medicine, Durham, USA; Durham Veteran Health Affairs Medical Center, Durham, USA; Corresponding author at: Duke University, 304 Research Drive, Box 90141, Durham, NC 27708, United States.Centre for Quantitative Medicine, Duke-National University of Singapore Medical School, SingaporeSingHealth Duke-NUS Institute of Precision Medicine, Duke-National University of Singapore Medical School, SingaporeSingHealth Duke-NUS Institute of Precision Medicine, Duke-National University of Singapore Medical School, Singapore; Department of Paediatrics, KK Women’s and Children’s Hospital, Singapore; Paediatric Academic Clinical Programme, Duke-NUS Medical School, SingaporeSingHealth Duke-NUS Institute of Precision Medicine, Duke-National University of Singapore Medical School, Singapore; Programme in Cardiovascular and Metabolic Disorders, Duke-NUS Medical School, SingaporeSingHealth Duke-NUS Institute of Precision Medicine, Duke-National University of Singapore Medical School, Singapore; Programme in Cancer and Stem Biology, Duke-National University of Singapore Medical School, SingaporeCenter for Applied Genomics and Precision Medicine, Department of Medicine, Duke University School of Medicine, Durham, USACenter for Applied Genomics and Precision Medicine, Department of Medicine, Duke University School of Medicine, Durham, USAProgramme in Cardiovascular and Metabolic Disorders, Duke-NUS Medical School, Singapore; Department of Cardiology, National Heart Centre Singapore, SingaporeSingHealth Duke-NUS Institute of Precision Medicine, Duke-National University of Singapore Medical School, Singapore; Programme in Cardiovascular and Metabolic Disorders, Duke-NUS Medical School, Singapore; Department of Cardiology, National Heart Centre Singapore, SingaporeSingHealth Duke-NUS Institute of Precision Medicine, Duke-National University of Singapore Medical School, Singapore; Programme in Cardiovascular and Metabolic Disorders, Duke-NUS Medical School, Singapore; Programme in Cancer and Stem Biology, Duke-National University of Singapore Medical School, Singapore; Biomedical Research Council, Agency for Science, Technology and Research, SingaporeInformation technology applications for patient-collection of family health history (FHH) increase identification of elevated-risk individuals compared to usual care. It is unknown if the method of collection impacts data collected or if simply going directly to the patient is what makes the difference. The objective of this study was to examine differences in data detail and risk identification rates between FHH collection directly from individuals using paper-based forms and an interactive web-based platform. This is a non-randomized epidemiologic study in Singaporean population from 2016 to 2018. Intervention was paper-based versus web-based interactive platform for FHH collection. Participant demographics, FHH detail, and risk assessment results were analyzed. 882 participants enrolled in the study, 481 in the paper-based group and 401 in the web-based group with mean (SD) age of 45.4 (12.98) years and 47.5% male. Web-based FHH collection participants had an increased number of conditions per relative (p-value <0.001), greater frequency of reporting age of onset (p-value <0.001), and greater odds of receiving ≥1 risk recommendation both overall (OR: 3.99 (2.41, 6.59)) and within subcategories of genetic counselling for hereditary cancer syndromes (p-value = 0.041) and screening and prevention for breast (p-value = 0.002) and colon cancer (p-value = 0.005). This has significant implications for clinical care and research efforts where FHH is being assessed. Using interactive information technology platforms to collect FHH can improve the completeness of the data collected and result in increased rates of risk identification. Methods of data collection to maximize benefit should be taken into account in future studies and clinical care.http://www.sciencedirect.com/science/article/pii/S2211335520300322Data accuracyHealth risk assessmentPreventive health servicesFamily health history |
| spellingShingle | R. Ryanne Wu Rehena Sultana Yasmin Bylstra Saumya Jamuar Sonia Davila Weng Khong Lim Geoffrey S. Ginsburg Lori A. Orlando Khung Keong Yeo Stuart A. Cook Patrick Tan Evaluation of family health history collection methods impact on data and risk assessment outcomes Preventive Medicine Reports Data accuracy Health risk assessment Preventive health services Family health history |
| title | Evaluation of family health history collection methods impact on data and risk assessment outcomes |
| title_full | Evaluation of family health history collection methods impact on data and risk assessment outcomes |
| title_fullStr | Evaluation of family health history collection methods impact on data and risk assessment outcomes |
| title_full_unstemmed | Evaluation of family health history collection methods impact on data and risk assessment outcomes |
| title_short | Evaluation of family health history collection methods impact on data and risk assessment outcomes |
| title_sort | evaluation of family health history collection methods impact on data and risk assessment outcomes |
| topic | Data accuracy Health risk assessment Preventive health services Family health history |
| url | http://www.sciencedirect.com/science/article/pii/S2211335520300322 |
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