2
|
Yoon S, Goh H, Fung SM, Tang S, Matchar D, Ginsburg GS, Orlando LA, Ngeow J, Wu RR. Experience and Perceptions of a Family Health History Risk Assessment Tool among Multi-Ethnic Asian Breast Cancer Patients. J Pers Med 2021; 11:jpm11101046. [PMID: 34683187 PMCID: PMC8536959 DOI: 10.3390/jpm11101046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Revised: 10/07/2021] [Accepted: 10/18/2021] [Indexed: 11/16/2022] Open
Abstract
A family health history-based risk assessment is particularly valuable for guiding cancer screening and treatment strategies, yet an optimal implementation depends upon end-users' values and needs. This is not only true prior to disease development, but also for those already affected. The aim of this study is to explore perceptions of the value of knowing one's family health history (FHH)-based risk, experience using a patient-facing FHH tool and the potential of the tool for wider implementation. Twenty multi-ethnic Asian patients undergoing breast cancer treatment in Singapore completed an FHH-based risk assessment. Semi-structured one-on-one interviews were conducted and data were thematically analyzed. All participants were female and slightly more than half were Chinese. The acceptance and usage of an FHH risk assessment tool for cancers and its broader implementation was affected by a perceived importance of personal control over early detection, patient concerns of anxiety for themselves and their families due to risk results, concerns for genetic discrimination, adequacy of follow-up care plans and Asian cultural beliefs toward disease and dying. This study uniquely sheds light on the factors affecting Asian breast cancer patients' perceptions about undergoing an FHH-based risk assessment, which should inform steps for a broader implementation in Asian healthcare systems.
Collapse
Affiliation(s)
- Sungwon Yoon
- Health Services and Systems Research, Center for Population Health Research Institute, Duke-NUS Medical School, Singapore Health Services, 8 College Road, Singapore 169857, Singapore;
| | - Hendra Goh
- Health Services and Systems Research, Duke-NUS Medical School, Singapore 169857, Singapore; (H.G.); (S.T.); (D.M.)
| | - Si Ming Fung
- Cancer Genetics Service, Division of Medical Oncology, National Cancer Centre Singapore, Singapore 169610, Singapore; (S.M.F.); (J.N.)
| | - Shihui Tang
- Health Services and Systems Research, Duke-NUS Medical School, Singapore 169857, Singapore; (H.G.); (S.T.); (D.M.)
| | - David Matchar
- Health Services and Systems Research, Duke-NUS Medical School, Singapore 169857, Singapore; (H.G.); (S.T.); (D.M.)
- Department of Medicine, Duke University School of Medicine, Durham, NC 27708, USA
| | - Geoffrey S. Ginsburg
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC 27708, USA; (G.S.G.); (L.A.O.)
| | - Lori A. Orlando
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC 27708, USA; (G.S.G.); (L.A.O.)
| | - Joanne Ngeow
- Cancer Genetics Service, Division of Medical Oncology, National Cancer Centre Singapore, Singapore 169610, Singapore; (S.M.F.); (J.N.)
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 308232, Singapore
| | - Rebekah Ryanne Wu
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University School of Medicine, 304 Research Dr. Box 90141, Office 264, Durham, NC 27708, USA
- Correspondence:
| |
Collapse
|
3
|
Miroševič Š, Krajc K, Klemenc-Ketiš Z, Selič-Zupančič P. Mapping Users' Experience of a Family History and Genetic Risk Algorithm Tool in Primary Care. Public Health Genomics 2021; 25:1-10. [PMID: 34515220 DOI: 10.1159/000518086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Accepted: 06/22/2021] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION The development of a family history (FH) questionnaire (FHQ) provides an insight into a patient's familiarity of a trait and helps to identify individuals at increased risk of disease. A critical aspect of developing a new tool is exploring users' experience. OBJECTIVE The objective of this study was to examine users' experience, obstacles and challenges, and their views and concerns in the applicability of a new tool for determining genetic risk in Slovenia's primary care. METHODS We used a qualitative approach. The participants completed a risk assessment software questionnaire that calculates users' likelihood of developing familial diseases. Audio-taped semi-structured telephone interviews were conducted to evaluate their experience. There were 21 participants, and analyses using the constant comparative method were employed. RESULTS We identified 3 main themes: obstacles/key issues, suggestions for improvements, and coping. The participants were poorly satisfied with the clarity of instructions, technical usability problems, and issues with the entry of relatives' data. They expressed satisfaction with some of the characteristics of the FHQ (e.g., straightforward and friendly format, easy entry, and comprehension). They suggested simpler language, that the disease risk should be targeted toward the disease, that the FHQ should include patient-specific recommendations, and that it should be part of the electronic medical records. When discussing what would they do with the results of the FHQ, the participants used different coping strategies: active (e.g., seeking information) or passive (e.g., avoidance). DISCUSSION/CONCLUSION User experience was shown to be a synthesis of obstacles, overcoming them with suggestions for improvements, and exploration of various coping mechanisms that may emerge from dealing with the stressor of "being at risk."
Collapse
Affiliation(s)
- Špela Miroševič
- Department of Family Medicine, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Kaja Krajc
- Department of Psychology, Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, Koper, Slovenia
| | - Zalika Klemenc-Ketiš
- Department of Family Medicine, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
- Department of Family Medicine, Faculty of Medicine, University of Maribor, Maribor, Slovenia
- Community Health Centre Ljubljana, Ljubljana, Slovenia
| | - Polona Selič-Zupančič
- Department of Family Medicine, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| |
Collapse
|
4
|
Bylstra Y, Lim WK, Kam S, Tham KW, Wu RR, Teo JX, Davila S, Kuan JL, Chan SH, Bertin N, Yang CX, Rozen S, Teh BT, Yeo KK, Cook SA, Jamuar SS, Ginsburg GS, Orlando LA, Tan P. Family history assessment significantly enhances delivery of precision medicine in the genomics era. Genome Med 2021; 13:3. [PMID: 33413596 PMCID: PMC7791763 DOI: 10.1186/s13073-020-00819-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Accepted: 12/07/2020] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Family history has traditionally been an essential part of clinical care to assess health risks. However, declining sequencing costs have precipitated a shift towards genomics-first approaches in population screening programs rendering the value of family history unknown. We evaluated the utility of incorporating family history information for genomic sequencing selection. METHODS To ascertain the relationship between family histories on such population-level initiatives, we analysed whole genome sequences of 1750 research participants with no known pre-existing conditions, of which half received comprehensive family history assessment of up to four generations, focusing on 95 cancer genes. RESULTS Amongst the 1750 participants, 866 (49.5%) had high-quality standardised family history available. Within this group, 73 (8.4%) participants had an increased family history risk of cancer (increased FH risk cohort) and 1 in 7 participants (n = 10/73) carried a clinically actionable variant inferring a sixfold increase compared with 1 in 47 participants (n = 17/793) assessed at average family history cancer risk (average FH risk cohort) (p = 0.00001) and a sevenfold increase compared to 1 in 52 participants (n = 17/884) where family history was not available (FH not available cohort) (p = 0.00001). The enrichment was further pronounced (up to 18-fold) when assessing only the 25 cancer genes in the American College of Medical Genetics (ACMG) Secondary Findings (SF) genes. Furthermore, 63 (7.3%) participants had an increased family history cancer risk in the absence of an apparent clinically actionable variant. CONCLUSIONS These findings demonstrate that the collection and analysis of comprehensive family history and genomic data are complementary and in combination can prioritise individuals for genomic analysis. Thus, family history remains a critical component of health risk assessment, providing important actionable data when implementing genomics screening programs. TRIAL REGISTRATION ClinicalTrials.gov NCT02791152 . Retrospectively registered on May 31, 2016.
Collapse
Affiliation(s)
- Yasmin Bylstra
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore
| | - Weng Khong Lim
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore.,Cancer and Stem Cell Biology, Duke-NUS Medical School, Singapore, Singapore.,SingHealth Duke-NUS Genomic Medicine Center, Singapore Health Services, Singapore, Singapore
| | - Sylvia Kam
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore.,Department of Paediatrics, KK Women's and Children's Hospital, Singapore, Singapore
| | - Koei Wan Tham
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore.,Department of Physiology, National University of Singapore, Singapore, Singapore
| | - R Ryanne Wu
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Jing Xian Teo
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore
| | - Sonia Davila
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore.,SingHealth Duke-NUS Genomic Medicine Center, Singapore Health Services, Singapore, Singapore.,Cardiovascular and Metabolic Disorders, Duke-NUS Medical School, Singapore, Singapore
| | - Jyn Ling Kuan
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore
| | - Sock Hoai Chan
- Cancer Genetics Service, Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - Nicolas Bertin
- Centre for Big Data and Integrative Genomics, Genome Institute of Singapore, Agency for Science Technology and Research, Singapore, Singapore
| | - Cheng Xi Yang
- National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore, Singapore
| | - Steve Rozen
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore.,Cancer and Stem Cell Biology, Duke-NUS Medical School, Singapore, Singapore
| | - Bin Tean Teh
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore.,National Cancer Centre Singapore, Singapore, Singapore
| | - Khung Keong Yeo
- Cardiovascular and Metabolic Disorders, Duke-NUS Medical School, Singapore, Singapore.,Department of Cardiology, National Heart Centre Singapore, Singapore, Singapore
| | - Stuart Alexander Cook
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore.,Cardiovascular and Metabolic Disorders, Duke-NUS Medical School, Singapore, Singapore.,Department of Cardiology, National Heart Centre Singapore, Singapore, Singapore
| | - Saumya Shekhar Jamuar
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore.,SingHealth Duke-NUS Genomic Medicine Center, Singapore Health Services, Singapore, Singapore.,Department of Paediatrics, KK Women's and Children's Hospital, Singapore, Singapore.,Paediatric Academic Clinical Programme, Duke-NUS Medical School, Singapore, Singapore
| | - Geoffrey S Ginsburg
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Lori A Orlando
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA.
| | - Patrick Tan
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore. .,Cancer and Stem Cell Biology, Duke-NUS Medical School, Singapore, Singapore. .,Genome Institute of Singapore, Agency for Science Technology and Research, Singapore, Singapore.
| |
Collapse
|
5
|
Garland V, Cioffi J, Kirelik D, Pascual L, Borum ML. African-Americans Are Less Frequently Assessed For Hereditary Colon Cancer. J Natl Med Assoc 2020; 113:336-341. [PMID: 33092858 DOI: 10.1016/j.jnma.2020.09.146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 08/03/2020] [Accepted: 09/29/2020] [Indexed: 10/23/2022]
Abstract
INTRODUCTION Colorectal cancer (CRC) is the third most common malignancy in the United States and disproportionately affects African-Americans. Approximately 5-10% of CRC results from hereditary cancer syndromes. A detailed family history is recommended as an initial component of cancer risk assessment to help determine initiation, frequency, screening method and genetic counselling referral. This study evaluated the rate of hereditary CRC risk assessment in African-American and white patients. METHODS A chart review of all patients referred for CRC screening in a university gastroenterology clinic during a 3 month period was performed. Patient self-described race/ethnicity, gender, age, documentation of multi-generational family medical history (3+ generations) were obtained. Amsterdam II Criteria, Bethesda Criteria and Colorectal Cancer Risk Assessment Tool were used to determine which patients with family histories should receive referrals for genetic counselling. Statistical analysis was performed using Fisher's Exact Test with significance set at p < 0.05. The study was IRB approved. RESULTS 872 medical records were reviewed, including 452 African-American (276 females, 176 males; mean age 60.2), 263 White (123 females, 140 males; mean age 59.4), 45 Hispanic, and 42 Asian. Multi-generational family history was obtained from 143 (16.4%); 62 African-American (13.7%; 47 females, 15 males), 58 White (22.1%; 37 females, 21 whites), 3 Hispanic (6.7%), and 4 Asian (9.5%). There was a significant difference (p = 0.0050) in the rate of detailed family history in African-Americans and whites. However, African-Americans and Whites similarly qualified for genetic counselling when family history was obtained (p = 0.7915); 58.1% African-Americans (36; 30 females, 6 males) and 50% Whites (29: 19 females, 10 males) qualified for genetic counselling. Overall referral rate to genetic counselling was 16.5% with no significant difference (p = 0.7586) between African-Americans and whites. CONCLUSIONS CRC risk assessment with detailed family medical history was inconsistently performed in all patients. There was significantly lower rate of obtaining multi-generational family medical histories in African-Americans. Referrals of all patients for genetic counselling and testing were also insufficient. Appropriate identification of individuals at increased risk for hereditary cancer syndromes, particularly African-Americans, is critical to prevention, early detection, and treatment of CRC and improving disparities in care.
Collapse
Affiliation(s)
- Victoria Garland
- Division of Gastroenterology and Liver Diseases, Department of Medicine, The George Washington University, Washington, DC, USA
| | - Joseph Cioffi
- Division of Gastroenterology and Liver Diseases, Department of Medicine, The George Washington University, Washington, DC, USA
| | | | - Lauren Pascual
- Department of Medicine, University of Miami, Miami, FL, USA
| | - Marie L Borum
- Division of Gastroenterology and Liver Diseases, Department of Medicine, The George Washington University, Washington, DC, USA.
| |
Collapse
|