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Williams A, Blake AK, Williamson Dean L, Lepard Tassin T. Does the amount of family history matter? Perspectives of adult adoptees. J Genet Couns 2024; 33:643-652. [PMID: 37632167 DOI: 10.1002/jgc4.1770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 08/02/2023] [Accepted: 08/07/2023] [Indexed: 08/27/2023]
Abstract
Family history is considered the gold standard for risk assessment of inherited conditions and is often used to inform preventative care. There are currently no provider guidelines that address caring for patients with a lack of family history, and adoptees report inconsistent care because of this. Through this qualitative study, we explored (1) how the amount of family history impacts adoptees' perceptions of healthcare and (2) adoptees' suggestions for improvement of their healthcare. Fourteen adult adoptees participated in semi-structured interviews via telephone or Zoom audio. Transcripts were analyzed using thematic analysis and interpretive phenomenology. Results revealed five themes: adoptees should have access to their family health history; several factors influence the importance of family history (reproduction, identity formation, age, and health concerns); many adoptees use direct-to-consumer testing to gain information about health risks or to find family members; completing history forms or being asked about family health history invokes negative emotions in adoptees; experiences with healthcare providers are variable for adoptees. These results show that unknown family health history can contribute to a negative perception of healthcare. Adoptees perceive family health history as important to know, and not having this information brings up complex emotions in the healthcare setting. To help mitigate the disparities and the negative emotions that adoptees feel, genetic counselors should consider acknowledging the complex emotions, reassuring adoptees with available preventative care, and revising preclinical paperwork, such as family health history questionnaires, to be more inclusive of those who lack this information. These changes have the potential to significantly improve healthcare experiences for adoptees. Healthcare providers, especially genetic counselors, need to continue to learn about and advocate for this population.
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Affiliation(s)
- Alyssa Williams
- Genetic Counseling Department, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
- Avera Cancer Institute, Sioux Falls, South Dakota, USA
| | - Alise K Blake
- Division of Cancer Predisposition, St. Jude Children's Research Hospital, Memphis, Tennessee, USA
| | - Lori Williamson Dean
- Genetic Counseling Department, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - Tiffany Lepard Tassin
- Genetic Counseling Department, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
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2
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Brown R, Sillence E, Pepper G. A qualitative study of perceptions of control over potential causes of death and the sources of information that inform perceptions of risk. Health Psychol Behav Med 2022; 10:632-654. [PMID: 35923580 PMCID: PMC9341328 DOI: 10.1080/21642850.2022.2104284] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022] Open
Affiliation(s)
- Richard Brown
- Department of Psychology, Northumbria University, Newcastle, UK
| | | | - Gillian Pepper
- Department of Psychology, Northumbria University, Newcastle, UK
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3
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Li M, Zhao S, Young CM, Foster M, Huei-Yu Wang J, Tseng TS, Kwok OM, Chen LS. Family Health History-Based Interventions: A Systematic Review of the Literature. Am J Prev Med 2021; 61:445-454. [PMID: 34226092 DOI: 10.1016/j.amepre.2021.03.022] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 03/05/2021] [Accepted: 03/09/2021] [Indexed: 10/20/2022]
Abstract
CONTEXT National efforts have advocated for the need to deliver family health history-based interventions to the lay public for more than a decade. Yet, the numbers, characteristics, and outcomes of such interventions are unknown. This first-of-its-kind systematic literature review examines the characteristics and effectiveness of the existing family health history-based interventions. EVIDENCE ACQUISITION The research team systematically searched peer-reviewed articles published between January 2003 and July 2020 in MEDLINE, Embase, CINAHL, and Google Scholar. EVIDENCE SYNTHESIS A total of 35 articles met the inclusion criteria. These studies assessed various behaviors, including family health history collection/communication with family members, family health history communication with healthcare providers, healthy diet adoption, physical activity level, uptake of medical screenings and genetic tests, and being proactive in healthcare matters. The average methodologic quality score of the studies was 9.9 (SD=1.6) of a theoretical range from 2 to 16. CONCLUSIONS Many family health history-based interventions exist to examine a variety of behaviors. Yet, there is room for improvement in methodology because few studies used a randomized or quasi-experimental design. In addition, most included studies did not report objective or longer-term outcome data to examine the effectiveness of family health history-based interventions.
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Affiliation(s)
- Ming Li
- Department of Health Sciences, College of Health Professions, Towson University, Towson, Maryland
| | - Shixi Zhao
- Department College of Health Professions, Exercise & Sports Sciences, College of Education & Human Sciences, The University of New Mexico, Albuquerque, New Mexico
| | | | - Margaret Foster
- Medical Science Library, Texas A&M University, College Station, Texas
| | - Judy Huei-Yu Wang
- Cancer Prevention and Control Program, Georgetown Lombardi Comprehensive Cancer Center, Georgetown University, Washington, District of Columbia
| | - Tung-Sung Tseng
- Behavioral & Community Health Sciences Program, LSU School of Public Health, LSU Health New Orleans, New Orleans, Louisiana
| | - Oi-Man Kwok
- Department of Educational Psychology, College of Education & Human Development, Texas A&M University, College Station, Texas
| | - Lei-Shih Chen
- Department of Health & Kinesiology, Texas A&M University, College Station, Texas.
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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."
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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
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Li X, Kahn RM, Wing N, Zhou ZN, Lackner AI, Krinsky H, Badiner N, Fogla R, Wolfe I, Bergeron H, Nelson BB, Thomas C, Christos PJ, Sharaf RN, Cantillo E, Holcomb K, Chapman-Davis E, Frey MK. Leveraging Health Information Technology to Collect Family Cancer History: A Systematic Review and Meta-Analysis. JCO Clin Cancer Inform 2021; 5:775-788. [PMID: 34328789 PMCID: PMC8812651 DOI: 10.1200/cci.21.00004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
PURPOSE Collection of family cancer histories (FCHs) can identify individuals at risk for familial cancer syndromes. The aim of this study is to evaluate the literature on existing strategies whereby providers use information technology to assemble FCH. METHODS A systematic search of online databases (Ovid MEDLINE, Cochrane, and Embase) between 1980 and 2020 was performed. Statistical heterogeneity was assessed through the chi-square test (ie, Cochrane Q test) and the inconsistency statistic (I2). A random-effects analysis was used to calculate the pooled proportions and means. RESULTS The comprehensive search produced 4,005 publications. Twenty-eight studies met inclusion criteria. Twenty-seven information technology tools were evaluated. Eighteen out of 28 studies were electronic surveys administered before visits (18, 64.3%). Five studies administered tablet surveys in offices (5, 17.8%). Four studies collected electronic survey via kiosk before visits (4, 14.3%), and one study used animated virtual counselor during visits (1, 3.6%). Among the studies that use an FCH tool, the pooled estimate of the overall completion rate was 86% (CI, 72% to 96%), 84% (CI, 65% to 97%) for electronic surveys before visits, 89% (CI, 0.74 to 0.98) for tablet surveys, and 85% (CI, 0.66 to 0.98) for surveys via kiosk. Mean time required for completion was 31.0 minutes (CI, 26.1 to 35.9), and the pooled estimate of proportions of participants referred to genetic testing was 12% (CI, 4% to 23%). CONCLUSION Our review found that electronic FCH collection can be completed successfully by patients in a time-efficient manner with high rates of satisfaction.
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Affiliation(s)
- Xuan Li
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Weill Cornell Medicine, New York, NY
| | - Ryan M Kahn
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Weill Cornell Medicine, New York, NY
| | - Noelani Wing
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Weill Cornell Medicine, New York, NY
| | - Zhen Ni Zhou
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Weill Cornell Medicine, New York, NY
| | - Andreas Ian Lackner
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Weill Cornell Medicine, New York, NY
| | - Hannah Krinsky
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Weill Cornell Medicine, New York, NY
| | - Nora Badiner
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Weill Cornell Medicine, New York, NY
| | - Rhea Fogla
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Weill Cornell Medicine, New York, NY
| | - Isabel Wolfe
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Weill Cornell Medicine, New York, NY
| | - Hannah Bergeron
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Weill Cornell Medicine, New York, NY
| | - Becky Baltich Nelson
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Weill Cornell Medicine, New York, NY
| | - Charlene Thomas
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Weill Cornell Medicine, New York, NY
| | - Paul J Christos
- Division of Biostatistics, Department of Population Health Sciences, Weill Cornell Medicine, New York, NY
| | - Ravi N Sharaf
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Weill Cornell Medicine, New York, NY
| | - Evelyn Cantillo
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Weill Cornell Medicine, New York, NY
| | - Kevin Holcomb
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Weill Cornell Medicine, New York, NY
| | - Eloise Chapman-Davis
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Weill Cornell Medicine, New York, NY
| | - Melissa K Frey
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Weill Cornell Medicine, New York, NY
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Miller CA, Lafata JE, Thomson MD. The Effects of Personalizing Colorectal Cancer Risk Communication on Risk Perceptions and Health Behavior Intentions: a Randomized Trial of Average-Risk Adults. JOURNAL OF CANCER EDUCATION : THE OFFICIAL JOURNAL OF THE AMERICAN ASSOCIATION FOR CANCER EDUCATION 2021; 36:719-727. [PMID: 31997146 PMCID: PMC7387146 DOI: 10.1007/s13187-020-01694-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Risk assessment tools may help individuals gauge cancer risk and motivate lifestyle and screening behavior changes. Despite the evermore common availability of such tools, little is known about their potential utility in average-risk population approaches to cancer prevention. We evaluated the effects of providing personalized (vs. generic) information concerning colorectal cancer (CRC) risk factors on average-risk individuals' risk perceptions and intentions to engage in three risk-reducing behaviors: CRC screening, diet, and physical activity. Further, we explored whether the receipt of CRC-specific risk assessment feedback influenced individuals' breast cancer risk perceptions and mammography intentions. Using an online survey, N = 419 survey respondents aged 50-75 with no personal or family history of CRC were randomized to receive an average estimate of CRC lifetime risk and risk factor information that was either personalized (treatment) or invariant/non-personalized (control). Respondent risk perceptions and behavioral intentions were ascertained before and after risk assessment administration. No differences were observed in risk perceptions or behavioral intentions by study arm. However, regardless of study arm, CRC screening intentions significantly increased after risk assessment feedback was provided. This occurred despite a significant reduction in risk perceptions. Results support the role simple cancer risk assessment information could play in promoting screening behaviors while improving the accuracy of cancer risk perceptions. Providing cancer risk assessment information may decrease individuals' perceptions of cancer risk to more realistic levels while simultaneously facilitating screening intentions among an average-risk population, regardless of whether provided risk information is personalized.
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Affiliation(s)
- Carrie A Miller
- Department of Health Behavior and Policy, School of Medicine, and Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, USA.
| | - Jennifer Elston Lafata
- Division of Pharmaceutical Outcomes and Policy, UNC Eshelman School of Pharmacy and UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA
| | - Maria D Thomson
- Department of Health Behavior and Policy, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA
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7
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Vornanen M, Konttinen H, Peltonen M, Haukkala A. Diabetes and Cardiovascular Disease Risk Perception and Risk Indicators: a 5-Year Follow-up. Int J Behav Med 2021; 28:337-348. [PMID: 32808182 PMCID: PMC8121732 DOI: 10.1007/s12529-020-09924-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND Perceived disease risk may reflect actual risk indicators and/or motivation to change lifestyle. Yet, few longitudinal studies have assessed how perceived risk relates to risk indicators among different disease risk groups. We examined in a 5-year follow-up, whether perceived risks of diabetes and cardiovascular disease predicted physical activity, body mass index (BMI kg/m2), and blood glucose level, or the reverse. We examined further whether perceived risk, self-efficacy, and outcome beliefs together predicted changes in these risk indicators. METHOD Participants were high diabetes risk participants (N = 432) and low/moderate-risk participants (N = 477) from the national FINRISK 2002 study who were followed up in 2007. Both study phases included questionnaires and health examinations with individual feedback letters. Data were analyzed using gender- and age-adjusted structural equation models. RESULTS In cross-lagged autoregressive models, perceived risks were not found to predict 5-year changes in physical activity, BMI, or 2-h glucose. In contrast, higher BMI and 2-h glucose predicted 5-year increases in perceived risks (β-values 0.07-0.15, P-values < 0.001-0.138). These associations were similar among high- and low/moderate-risk samples. In further structural equation models, higher self-efficacy predicted increased physical activity among both samples (β-values 0.10-0.16, P-values 0.005-0.034). Higher outcome beliefs predicted lower BMI among the low/moderate-risk sample (β-values - 0.04 to - 0.05, P-values 0.008-0.011). CONCLUSION Perceived risk of chronic disease rather follows risk indicators than predicts long-term lifestyle changes. To promote sustained lifestyle changes, future intervention studies need to examine the best ways to combine risk feedback with efficient behavior change techniques.
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Affiliation(s)
- Marleena Vornanen
- Department of Social Research, University of Helsinki, Unioninkatu 37, PL 54, 00014 Helsinki, Finland
| | - Hanna Konttinen
- Department of Social Research, University of Helsinki, Unioninkatu 37, PL 54, 00014 Helsinki, Finland
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
| | - Markku Peltonen
- National Institute for Health and Welfare, Helsinki, Finland
| | - Ari Haukkala
- Department of Social Research, University of Helsinki, Unioninkatu 37, PL 54, 00014 Helsinki, Finland
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Hadley DW, Eliezer D, Addissie Y, Goergen A, Ashida S, Koehly L. Uptake and predictors of colonoscopy use in family members not participating in cascade genetic testing for Lynch syndrome. Sci Rep 2020; 10:15959. [PMID: 32994442 PMCID: PMC7525436 DOI: 10.1038/s41598-020-72938-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Accepted: 09/03/2020] [Indexed: 11/09/2022] Open
Abstract
Cascade genetic testing provides a method to appropriately focus colonoscopy use in families with Lynch syndrome (LS). However, research suggests that up to two-thirds at risk to inherit LS don’t participate. Within the United States, no studies have assessed colonoscopy use within this elusive and high-risk subset. We set forth to (1) document colonoscopy use within those not undergoing genetic testing (NGT) and (2) identify factors associated with completing colonoscopy. Data came from a cross sectional survey of families with molecularly confirmed LS. One hundred seventy-six (176) adults participated; 47 of unknown variant status and 129 with variant status known (59 carriers/70 non-carriers). Despite a high level of awareness of LS (85%) and identical recommendations for colonoscopy, NGT reported significantly lower use of colonoscopy than carriers (47% vs. 73%; p = 0.003). Our results show that perceived risk to develop colon cancer (AOR = 1.99, p < 0.05) and physician recommendations (AOR = 7.64, p < 0.01) are significant predictors of colonoscopy use across all family members controlling for carrier status. Given these findings, health care providers, should assess patients’ perceived risk to develop cancer, assist them in adjusting risk perceptions and discuss recommendations for colonoscopy with all members in families with LS. Trial Registration Clinical Trials.gov Identifier: NCT00004210.
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Affiliation(s)
- Donald W Hadley
- Office of the Clinical Director, National Human Genome Research Institute, National Institutes of Health, 35 Convent Drive, MSC 3717, Bldg. 35, Room 1B205, Bethesda, MD, 20892-3717, USA.
| | - Dina Eliezer
- Social Networks Methods Section, Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Yonit Addissie
- Social Networks Methods Section, Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Andrea Goergen
- Social Networks Methods Section, Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sato Ashida
- Department of Community and Behavioral Health, College of Public Health, University of Iowa, Iowa City, IA, USA
| | - Laura Koehly
- Social Networks Methods Section, Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
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Masson G, Mills K, Griffin SJ, Sharp SJ, Klein WMP, Sutton S, Usher-Smith JA. A randomised controlled trial of the effect of providing online risk information and lifestyle advice for the most common preventable cancers. Prev Med 2020; 138:106154. [PMID: 32473959 PMCID: PMC7378571 DOI: 10.1016/j.ypmed.2020.106154] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Revised: 05/20/2020] [Accepted: 05/22/2020] [Indexed: 11/01/2022]
Abstract
Few trial data are available concerning the impact of personalised cancer risk information on behaviour. This study assessed the short-term effects of providing personalised cancer risk information on cancer risk beliefs and self-reported behaviour. We randomised 1018 participants, recruited through the online platform Prolific, to either a control group receiving cancer-specific lifestyle advice or one of three intervention groups receiving their computed 10-year risk of developing one of the five most common preventable cancers either as a bar chart, a pictograph or a qualitative scale alongside the same lifestyle advice. The primary outcome was change from baseline in computed risk relative to an individual with a recommended lifestyle (RRI)1 at three months. Secondary outcomes included: health-related behaviours, risk perception, anxiety, worry, intention to change behaviour, and a newly defined concept, risk conviction. After three months there were no between-group differences in change in RRI (p = 0.71). At immediate follow-up, accuracy of absolute risk perception (p < 0.001), absolute and comparative risk conviction (p < 0.001) and intention to increase fruit and vegetables (p = 0.026) and decrease processed meat (p = 0.033) were higher in all intervention groups relative to the control group. The increases in accuracy and conviction were only seen in individuals with high numeracy and low baseline conviction, respectively. These findings suggest that personalised cancer risk information alongside lifestyle advice can increase short-term risk accuracy and conviction without increasing worry or anxiety but has little impact on health-related behaviour. Trial registration: ISRCTN17450583. Registered 30 January 2018.
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Affiliation(s)
- Golnessa Masson
- The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge School of Clinical Medicine, Box 113, Cambridge Biomedical Campus, Cambridge CB2 0SR, UK.
| | - Katie Mills
- The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge School of Clinical Medicine, Box 113, Cambridge Biomedical Campus, Cambridge CB2 0SR, UK.
| | - Simon J Griffin
- The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge School of Clinical Medicine, Box 113, Cambridge Biomedical Campus, Cambridge CB2 0SR, UK.
| | - Stephen J Sharp
- MRC Epidemiology Unit, University of Cambridge, Institute of Metabolic Science, Cambridge CB2 0QQ, UK.
| | | | - Stephen Sutton
- The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge School of Clinical Medicine, Box 113, Cambridge Biomedical Campus, Cambridge CB2 0SR, UK.
| | - Juliet A Usher-Smith
- The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge School of Clinical Medicine, Box 113, Cambridge Biomedical Campus, Cambridge CB2 0SR, UK.
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10
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Haga SB, Orlando LA. The enduring importance of family health history in the era of genomic medicine and risk assessment. Per Med 2020; 17:229-239. [PMID: 32320338 DOI: 10.2217/pme-2019-0091] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Improving disease risk prediction and tailoring preventive interventions to patient risk factors is one of the primary goals of precision medicine. Family health history is the traditional approach to quickly gather genetic and environmental data relevant to the patient. While the utility of family health history is well-documented, its utilization is variable, in part due to lack of patient and provider knowledge and incomplete or inaccurate data. With the advances and reduced costs of sequencing technologies, comprehensive sequencing tests can be performed as a risk assessment tool. We provide an overview of each of these risk assessment approaches, the benefits and limitations and implementation challenges.
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Affiliation(s)
- Susanne B Haga
- Center for Applied Genomics & Precision Medicine, Duke University School of Medicine, 101 Science Drive, Box 3382, Durham, NC 27708, USA
| | - Lori A Orlando
- Center for Applied Genomics & Precision Medicine, Duke University School of Medicine, 101 Science Drive, Box 3382, Durham, NC 27708, USA
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11
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Bayne M, Fairey M, Silarova B, Griffin SJ, Sharp SJ, Klein WMP, Sutton S, Usher-Smith JA. Effect of interventions including provision of personalised cancer risk information on accuracy of risk perception and psychological responses: A systematic review and meta-analysis. PATIENT EDUCATION AND COUNSELING 2020; 103:83-95. [PMID: 31439435 PMCID: PMC6919334 DOI: 10.1016/j.pec.2019.08.010] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Revised: 07/23/2019] [Accepted: 08/08/2019] [Indexed: 05/21/2023]
Abstract
OBJECTIVE To synthesize the literature on the effect of provision of personalised cancer risk information to individuals at population level risk on accuracy of risk perception and psychological responses. METHODS A systematic review and random effects meta-analysis of articles published from 01/01/2000 to 01/07/2017. RESULTS We included 23 studies. Immediately after provision of risk information 87% of individuals were able to recall the absolute risk estimate. Less than half believed that to be their risk, with up to 71% believing their risk to be higher than the estimate. Provision of risk information increased accuracy of perceived absolute risk immediately after risk information compared with no information (pooled RR 4.16 (95%CI 1.28-13.49), 3 studies). There was no significant effect on comparative risk accuracy (pooled RR 1.39 (0.72-2.69), 2 studies) and either no change or a reduction in cancer worry, anxiety and fear. CONCLUSION These findings highlight the complex cognitive processes involved in the conceptualisation of risk. PRACTICE IMPLICATIONS Individuals who appear to understand and are able to recall risk information most likely do not believe it reflects their own risk.
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Affiliation(s)
- Max Bayne
- University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Madi Fairey
- University of Cambridge School of Clinical Medicine, Cambridge, UK
| | | | - Simon J Griffin
- The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Stephen J Sharp
- MRC Epidemiology Unit, University of Cambridge, Cambridge UK
| | - William M P Klein
- Behavioral Research Program, National Cancer Institute, Rockville, MD, USA
| | - Stephen Sutton
- The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Juliet A Usher-Smith
- The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
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12
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Lee SI, Patel M, Dutton B, Weng S, Luveta J, Qureshi N. Effectiveness of interventions to identify and manage patients with familial cancer risk in primary care: a systematic review. J Community Genet 2020; 11:73-83. [PMID: 31062229 PMCID: PMC6962422 DOI: 10.1007/s12687-019-00419-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2018] [Accepted: 04/05/2019] [Indexed: 12/15/2022] Open
Abstract
This systematic review evaluated the effectiveness of strategies to identify and manage patients with familial risk of breast, ovarian, colorectal and prostate cancer in primary care to improve clinical outcomes. MEDLINE, EMBASE, CINAHL and Cochrane library were searched from January 1980 to October 2017. We included randomised controlled trials (RCT) and non-randomised studies of interventions (NRSI). Primary outcomes were cancer incidence, cancer-related clinical outcomes or the identification of cancer predisposition; secondary outcomes were the appropriateness of referral, uptake of preventive strategies and cognitive and psychological effect. From 11,842 abstracts, 111 full texts were reviewed and three eligible studies (nine articles) identified. Two were cluster RCTs and one NRSI; all used risk assessment software. No studies identified our primary outcomes, with no consistent outcome across the three studies. In one RCT, intervention improved the proportion of genetic referrals meeting referral guidelines for breast cancer (OR 4.5, 95% CI 1.6 to 13.1). In the other RCT, there was no difference in screening adherence between the intervention and control group. However, there was borderline increased risk perception (OR 1.89, 95% CI 0.99 to 3.59) in the subgroup that under-estimated their colon cancer risk. In the NRSI, there was no change in psychological distress in patients at increased familial breast cancer risk, but population risk patients had reduced anxiety after intervention (state anxiety mean change - 3, 95% CI - 5 to - 2). Future studies should have better-defined comparator groups and longer follow-up and assess outcomes using validated tools.
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Affiliation(s)
- Siang Ing Lee
- Division of Primary Care, School of Medicine, University of Nottingham, 13th Floor, Tower Building, University Park, Nottingham, NG7 2RD, UK
| | - Mitesh Patel
- Division of Primary Care, School of Medicine, University of Nottingham, 13th Floor, Tower Building, University Park, Nottingham, NG7 2RD, UK
| | - Brittany Dutton
- Division of Primary Care, School of Medicine, University of Nottingham, 13th Floor, Tower Building, University Park, Nottingham, NG7 2RD, UK
| | - Stephen Weng
- Division of Primary Care, School of Medicine, University of Nottingham, 13th Floor, Tower Building, University Park, Nottingham, NG7 2RD, UK
| | | | - Nadeem Qureshi
- Division of Primary Care, School of Medicine, University of Nottingham, 13th Floor, Tower Building, University Park, Nottingham, NG7 2RD, UK.
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Usher-Smith JA, Sharp SJ, Luben R, Griffin SJ. Development and Validation of Lifestyle-Based Models to Predict Incidence of the Most Common Potentially Preventable Cancers. Cancer Epidemiol Biomarkers Prev 2019; 28:67-75. [PMID: 30213791 PMCID: PMC6330056 DOI: 10.1158/1055-9965.epi-18-0400] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2018] [Revised: 06/28/2018] [Accepted: 08/20/2018] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Most risk models for cancer are either specific to individual cancers or include complex or predominantly non-modifiable risk factors. METHODS We developed lifestyle-based models for the five cancers for which the most cases are potentially preventable through lifestyle change in the UK (lung, colorectal, bladder, kidney, and esophageal for men and breast, lung, colorectal, endometrial, and kidney for women). We selected lifestyle risk factors from the European Code against Cancer and obtained estimates of relative risks from meta-analyses of observational studies. We used mean values for risk factors from nationally representative samples and mean 10-year estimated absolute risks from routinely available sources. We then assessed the performance of the models in 23,768 participants in the EPIC-Norfolk cohort who had no history of the five selected cancers at baseline. RESULTS In men, the combined risk model showed good discrimination [AUC, 0.71; 95% confidence interval (CI), 0.69-0.73] and calibration. Discrimination was lower in women (AUC, 0.59; 95% CI, 0.57-0.61), but calibration was good. In both sexes, the individual models for lung cancer had the highest AUCs (0.83; 95% CI, 0.80-0.85 for men and 0.82; 95% CI, 0.76-0.87 for women). The lowest AUCs were for breast cancer in women and kidney cancer in men. CONCLUSIONS The discrimination and calibration of the models are both reasonable, with the discrimination for individual cancers comparable or better than many other published risk models. IMPACT These models could be used to demonstrate the potential impact of lifestyle change on risk of cancer to promote behavior change.
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Affiliation(s)
- Juliet A Usher-Smith
- The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.
| | - Stephen J Sharp
- MRC Epidemiology Unit, University of Cambridge, Institute of Metabolic Science, Cambridge, United Kingdom
| | - Robert Luben
- Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge, United Kingdom
| | - Simon J Griffin
- The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
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Abstract
Stroke continues to be a public health problem, and risk perceptions are key to understanding people's thoughts about stroke risk and their preventive health behaviors. This review identifies how the perceived risk of stroke has been measured and outcomes in terms of levels, predictors, accuracy, and intervention results. Sixteen studies were included. The perceived risk of stroke has primarily been assessed with single-item measures; no multi-item surveys were found. In general, people tend to perceive a low-moderate risk of stroke; the most common predictors of higher stroke risk perceptions were having risk factors for stroke (hypertension, diabetes) and a higher number of risk factors. However, inaccuracies were common; at least half of respondents underestimated/overestimated their risk. Few studies have examined whether interventions can improve the perceived risk of stroke. Strategies to improve stroke risk perceptions should be explored to determine whether accuracy can promote healthy lifestyles to reduce stroke risk.
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Thomas S, Hovick S, Tan N, Sturm A, Sweet K. How Online Family History Tool Design and Message Content Impact User Perceptions: An Examination of Family Health Link. Public Health Genomics 2018; 21:53-66. [DOI: 10.1159/000493847] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Accepted: 09/18/2018] [Indexed: 11/19/2022] Open
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Genetic cancer risk assessment in general practice: systematic review of tools available, clinician attitudes, and patient outcomes. Br J Gen Pract 2018; 69:e97-e105. [PMID: 30510097 DOI: 10.3399/bjgp18x700265] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2018] [Accepted: 05/18/2018] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND A growing demand for cancer genetic services has led to suggestions for the involvement of GPs. How, and in which conditions, they can be involved, and whether there are important barriers to implementation should be ascertained. AIM To review the tools available, clinician attitudes and experiences, and the effects on patients of genetic cancer risk assessment in general practice. DESIGN AND SETTING Systematic review of papers published worldwide between 1996 and 2017. METHOD The MEDLINE (via Ovid), EMBASE, Cochrane Library, CINAHL, and PsycINFO databases and grey literature were searched for entries dating from January 1996 to December 2017. Study quality was assessed with relevant Critical Appraisal Skills Programme tool checklists and a narrative synthesis of findings was conducted. RESULTS In total, 40 studies were included in the review. A variety of testing and screening tools were available for genetic cancer risk assessment in general practice, principally for breast, breast-ovarian, and colorectal cancer risk. GPs often reported low knowledge and confidence to engage with genetic cancer risk assessment; however, despite time pressures and concerns about confidentiality and the impact of results on family members, some recognised the potential importance relating to such a development of the GP's role. Studies found few reported benefits for patients. Concerns about negative impacts on patient anxiety and cancer worries were largely not borne out. CONCLUSION GPs may have a potential role in identifying patients at risk of hereditary cancer that can be facilitated by family-history tools. There is currently insufficient evidence to support the implementation of population-wide screening for genetic cancer risk, especially given the competing demands of general practice.
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Usher-Smith JA, Masson G, Mills K, Sharp SJ, Sutton S, Klein WMP, Griffin SJ. A randomised controlled trial of the effect of providing online risk information and lifestyle advice for the most common preventable cancers: study protocol. BMC Public Health 2018; 18:796. [PMID: 29940914 PMCID: PMC6019532 DOI: 10.1186/s12889-018-5712-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2018] [Accepted: 06/14/2018] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Cancer is a leading cause of mortality and morbidity worldwide. Prevention is recognised by many, including the World Health Organization, to offer the most cost-effective long-term strategy for the control of cancer. One approach that focuses on individuals is the provision of personalised risk information. However, whether such information motivates behaviour change and whether the effect is different with varying formats of risk presentation is unclear. We aim to assess the short-term effect of providing information about personalised risk of cancer in three different formats alongside lifestyle advice on health-related behaviours, risk perception and risk conviction. METHODS In a parallel group, randomised controlled trial 1000 participants will be recruited through the online platform Prolific. Participants will be allocated to either a control group receiving cancer-specific lifestyle advice alone or one of three intervention groups receiving the same lifestyle advice alongside their estimated 10-year risk of developing one of the five most common preventable cancers, calculated from self-reported modifiable behavioural risk factors, in one of three different formats (bar chart, pictograph or qualitative scale). The primary outcome is change from baseline in computed risk relative to an individual with a recommended lifestyle at three months. Secondary outcomes include: perceived risk of cancer; anxiety; cancer-related worry; intention to change behaviour; and awareness of cancer risk factors. DISCUSSION This study will provide evidence on the short-term effect of providing online information about personalised risk of cancer alongside lifestyle advice on risk perception and health-related behaviours and inform the development of interventions. TRIAL REGISTRATION ISRCTN17450583. Registered 30 January 2018.
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Affiliation(s)
- Juliet A. Usher-Smith
- The Primary Care Unit, Institute of Public Health, University of Cambridge School of Clinical Medicine, Box 113 Cambridge Biomedical Campus, Cambridge, CB2 0SR UK
| | - Golnessa Masson
- The Primary Care Unit, Institute of Public Health, University of Cambridge School of Clinical Medicine, Box 113 Cambridge Biomedical Campus, Cambridge, CB2 0SR UK
| | - Katie Mills
- The Primary Care Unit, Institute of Public Health, University of Cambridge School of Clinical Medicine, Box 113 Cambridge Biomedical Campus, Cambridge, CB2 0SR UK
| | - Stephen J. Sharp
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, CB2 0QQ UK
| | - Stephen Sutton
- Behavioural Science Group, The Primary Care Unit, Institute of Public Health, University of Cambridge School of Clinical Medicine, Box 113 Cambridge Biomedical Campus, Cambridge, CB2 0SR UK
| | | | - Simon J. Griffin
- The Primary Care Unit, Institute of Public Health, University of Cambridge School of Clinical Medicine, Box 113 Cambridge Biomedical Campus, Cambridge, CB2 0SR UK
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Silarova B, Douglas FE, Usher-Smith JA, Godino JG, Griffin SJ. Risk accuracy of type 2 diabetes in middle aged adults: Associations with sociodemographic, clinical, psychological and behavioural factors. PATIENT EDUCATION AND COUNSELING 2018; 101:43-51. [PMID: 28757303 PMCID: PMC6086332 DOI: 10.1016/j.pec.2017.07.023] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/04/2016] [Revised: 07/18/2017] [Accepted: 07/21/2017] [Indexed: 06/07/2023]
Abstract
OBJECTIVE To identify the proportion of individuals with an accurate perception of their risk of type 2 diabetes (T2D) prior to, immediately after and eight weeks after receiving a personalised risk estimate. Additionally, we aimed to explore what factors are associated with underestimation and overestimation immediately post-intervention. METHODS Cohort study based on the data collected in the Diabetes Risk Communication Trial. We included 379 participants (mean age 48.9 (SD 7.4) years; 55.1% women) who received a genotypic or phenotypic risk estimate for T2D. RESULTS While only 1.3% of participants perceived their risk accurately at baseline, this increased to 24.7% immediately after receiving a risk estimate and then dropped to 7.3% at eight weeks. Those who overestimated their risk at baseline continued to overestimate it, whereas those who underestimated their risk at baseline improved their risk accuracy. We did not identify any other characteristics associated with underestimation or overestimation immediately after receiving a risk estimate. CONCLUSION Understanding a received risk estimate is challenging for most participants with many continuing to have inaccurate risk perception after receiving the estimate. PRACTICE IMPLICATIONS Individuals who overestimate or underestimate their T2D risk before receiving risk information might require different approaches for altering their risk perception.
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Affiliation(s)
- Barbora Silarova
- MRC Epidemiology Unit, University of Cambridge, Institute of Metabolic Science, Cambridge, CB2 0QQ, UK.
| | - Fiona E Douglas
- School of Clinical Medicine, University of Cambridge, Box 111 Cambridge Biomedical Campus, Cambridge, CB2 0SP, UK.
| | - Juliet A Usher-Smith
- The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, 2 Wort's Causeway, Cambridge, CB1 8RN, UK.
| | - Job G Godino
- MRC Epidemiology Unit, University of Cambridge, Institute of Metabolic Science, Cambridge, CB2 0QQ, UK; Center for Wireless and Population Health Systems, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0811, USA.
| | - Simon J Griffin
- MRC Epidemiology Unit, University of Cambridge, Institute of Metabolic Science, Cambridge, CB2 0QQ, UK; The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, 2 Wort's Causeway, Cambridge, CB1 8RN, UK.
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Usher-Smith JA, Silarova B, Lophatananon A, Duschinsky R, Campbell J, Warcaba J, Muir K. Responses to provision of personalised cancer risk information: a qualitative interview study with members of the public. BMC Public Health 2017; 17:977. [PMID: 29273050 PMCID: PMC5741964 DOI: 10.1186/s12889-017-4985-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2017] [Accepted: 12/07/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND It is estimated that nearly 600,000 cancer cases in the UK could have been avoided in the past five years if people had healthier lifestyles. A number of theories of behaviour change suggest that before people will change health behaviours, they must accept that a risk applies to them. This study aimed to explore the views of the public on receiving personalised cancer risk information and the potential for that information to motivate behaviour change. METHODS We conducted 27 interviews with members of the public (mean age 49 ± 23 years). Each participant completed a questionnaire to allow calculation of their risk of developing the most common cancers (10 for women, 8 for men). During the interviews we presented their risk using a web-based tool developed for the study and discussions covered their views on receiving that information. Each interview was audio-recorded and then analysed using thematic analysis. RESULTS Participants generally viewed the concept of personalised cancer risk positively. The first reaction of almost all when presented with their 10-year risk of an individual cancer without any further context was that it was low and not concerning. Views on what constituted a high risk ranged widely, from 0.5 to 60%. All felt seeing the impact of changes in lifestyle was helpful. For some this led to intentions to change behaviour, but reductions in risk were not always motivating as the risks were considered low and differences small. CONCLUSIONS Provision of personalised cancer risk was well received and may be a useful addition to other cancer prevention initiatives. Further work is needed in particular to develop ways to present cancer risk that reflect the general perception of what constitutes a risk high enough to motivate behaviour change and help patients contextualise a less well known health risk by providing a frame of reference.
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Affiliation(s)
- Juliet A. Usher-Smith
- The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Box 113 Cambridge Biomedical Campus, Cambridge, CB2 0SR UK
| | - Barbora Silarova
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, CB2 0QQ UK
| | - Artitaya Lophatananon
- Institute of Population Health, University of Manchester, Oxford Road, Manchester, M13 9PL UK
| | - Robbie Duschinsky
- The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Box 113 Cambridge Biomedical Campus, Cambridge, CB2 0SR UK
| | - Jackie Campbell
- Institute of Health and Wellbeing, University of Northampton, Park Campus, Boughton Green Road, Northampton, NN2 7AL UK
| | - Joanne Warcaba
- Moulton Surgery, 120 Northampton Lane North, Moulton, NN3 7QP UK
| | - Kenneth Muir
- Institute of Population Health, University of Manchester, Oxford Road, Manchester, M13 9PL UK
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Hovick SR, Bevers TB, Vidrine JI, Kim S, Dailey PM, Jones LA, Peterson SK. User Perceptions and Reactions to an Online Cancer Risk Assessment Tool: a Process Evaluation of Cancer Risk Check. JOURNAL OF CANCER EDUCATION : THE OFFICIAL JOURNAL OF THE AMERICAN ASSOCIATION FOR CANCER EDUCATION 2017; 32:141-147. [PMID: 26546305 PMCID: PMC4860160 DOI: 10.1007/s13187-015-0939-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
Online cancer risk assessment tools, which provide personalized cancer information and recommendations based on personal data input by users, are a promising cancer education approach; however, few tools have been evaluated. A randomized controlled study was conducted to compare user impressions of one tool, Cancer Risk Check (CRC), to non-personalized educational information delivered online as series of self-advancing slides (the control). CRC users (N = 1452) rated the tool to be as interesting as the control (p > .05), but users were more likely to report that the information was difficult to understand and not applicable to them (p < .05). Information seeking and sharing also were lower among CRC users; thus, although impressions of CRC were favorable, it was not shown to be superior to existing approaches. We hypothesized CRC was less effective because it contained few visual and graphical elements; therefore, CRC was compared to a text-based control (online PDF file) post hoc. CRC users rated the information to be more interesting, less difficult to understand, and better able to hold their attention (p < .05). Post hoc results suggest the visual presentation of risk is critical to tool success.
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Affiliation(s)
- Shelly R Hovick
- The Ohio State University, 154 N. Oval Mall, Columbus, OH, 43210, USA.
| | - Therese B Bevers
- The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA
| | - Jennifer Irvin Vidrine
- Stephenson Cancer Center, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Stephanie Kim
- The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA
| | - Phokeng M Dailey
- The Ohio State University, 154 N. Oval Mall, Columbus, OH, 43210, USA
| | - Lovell A Jones
- Prairie View A&M University, 100 University Dr, Prairie View, TX, 77446, USA
| | - Susan K Peterson
- The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA
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Haas JS, Baer HJ, Eibensteiner K, Klinger EV, St Hubert S, Getty G, Brawarsky P, Orav EJ, Onega T, Tosteson ANA, Bates DW, Colditz G. A Cluster Randomized Trial of a Personalized Multi-Condition Risk Assessment in Primary Care. Am J Prev Med 2017; 52:100-105. [PMID: 27639785 PMCID: PMC5167657 DOI: 10.1016/j.amepre.2016.07.013] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2015] [Revised: 06/17/2016] [Accepted: 07/15/2016] [Indexed: 11/20/2022]
Abstract
INTRODUCTION Personal risk for multiple conditions should be assessed in primary care. This study evaluated whether collection of risk factors to generate electronic health record (EHR)-linked health risk appraisal (HRA) for coronary heart disease, diabetes, breast cancer, and colorectal cancer was associated with improved patient-provider communication, risk assessment, and plans for breast cancer screening. METHODS This pragmatic trial recruited adults with upcoming visits to 11 primary care practices during 2013-2014 (N=3,703). Pre-visit, intervention patients completed a risk factor and perception assessment and received an HRA; coded risk factor data were sent to the EHR. Post-visit, intervention patients reported risk perception. Pre-visit, control patients only completed the risk perception assessment; post-visit they also completed the risk factor assessment and received the HRA. No data were sent to the EHR for controls. Accuracy/improvement of self-perceived risk was assessed by comparing self-perceived to calculated risk. RESULTS The intervention was associated with improvement of patient-provider communication of changes to improve health (78.5% vs 74.1%, AOR=1.67, 99% CI=1.07, 2.60). There was a similar trend for discussion of risk (54.1% vs 45.5%, AOR=1.34, 95% CI=0.97, 1.85). The intervention was associated with greater improvement in accuracy of self-perceived risk for diabetes (16.0% vs 12.6%, p=0.006) and colorectal cancer (27.9% vs 17.2%, p<0.001) with a similar trend for coronary heart disease and breast cancer. There were no changes in plans for breast cancer screening. CONCLUSIONS Patient-reported risk factors and EHR-linked multi-condition HRAs in primary care can modestly improve communication and promote accuracy of self-perceived risk.
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Affiliation(s)
- Jennifer S Haas
- Division of General Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts; Department of Medicine, Harvard University Medical School, Boston, Massachusetts; Department of Social and Behavioral Sciences, Harvard University School of Public Health, Boston, Massachusetts.
| | - Heather J Baer
- Division of General Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts; Department of Medicine, Harvard University Medical School, Boston, Massachusetts; Department of Epidemiology, Harvard University School of Public Health, Boston, Massachusetts
| | - Katyuska Eibensteiner
- Division of General Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts
| | - Elissa V Klinger
- Division of General Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts
| | - Stella St Hubert
- Division of General Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts
| | - George Getty
- Division of General Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts
| | - Phyllis Brawarsky
- Division of General Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts
| | - E John Orav
- Division of General Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts; Department of Medicine, Harvard University Medical School, Boston, Massachusetts; Department of Biostatistics, Harvard University School of Public Health, Boston, Massachusetts
| | - Tracy Onega
- Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth and Norris Cotton Cancer Center, Lebanon, New Hampshire
| | - Anna N A Tosteson
- Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth and Norris Cotton Cancer Center, Lebanon, New Hampshire
| | - David W Bates
- Division of General Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts; Department of Medicine, Harvard University Medical School, Boston, Massachusetts; Department of Health Policy and Management, Harvard University School of Public Health, Boston, Massachusetts
| | - Graham Colditz
- Institute for Public Health, Washington University School of Medicine, St. Louis, Missouri
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de Melo-Martín I. How best to protect the vital interests of donor-conceived individuals: prohibiting or mandating anonymity in gamete donations? REPRODUCTIVE BIOMEDICINE & SOCIETY ONLINE 2016; 3:100-108. [PMID: 29774255 PMCID: PMC5952682 DOI: 10.1016/j.rbms.2017.01.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2015] [Revised: 11/02/2016] [Accepted: 01/30/2017] [Indexed: 05/12/2023]
Abstract
Anonymous gamete donation continues to be practised in most jurisdictions around the world, but this practice has come under increased scrutiny. Thus, several countries now mandate that donors be identifiable to their genetic offspring. Critics contend that anonymous gamete donation harms the interests of donor-conceived individuals and that protection of these interests calls for legal prohibition of anonymous donations. Among the vital interests that critics claim are thwarted by anonymous donation are an interest in having a strong family relationship, health interests, and an interest in forming a healthy identity. This article discusses each of these interests and examines what they could involve. The legislation in two countries is considered: Spain, which mandates anonymous gamete donation, and the UK, which prohibits such practice, to assess how these different legislations might or might not protect these vital interests.
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de Melo-Martín I. Lack of Access to Genetic-Relative Family Health History: A Health Disparity for Adoptees? THE AMERICAN JOURNAL OF BIOETHICS : AJOB 2016; 16:43-45. [PMID: 27901436 DOI: 10.1080/15265161.2016.1240257] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
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Vornanen M, Konttinen H, Kääriäinen H, Männistö S, Salomaa V, Perola M, Haukkala A. Family history and perceived risk of diabetes, cardiovascular disease, cancer, and depression. Prev Med 2016; 90:177-83. [PMID: 27353304 DOI: 10.1016/j.ypmed.2016.06.027] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2016] [Revised: 05/02/2016] [Accepted: 06/22/2016] [Indexed: 12/11/2022]
Abstract
BACKGROUND Family history is a useful and inexpensive tool to assess risks of multifactorial diseases. Family history enables individualized disease prevention, but its effects on perceived risks of various diseases need to be understood in more detail. We examined how family history relates to perceived risk of diabetes mellitus, cardiovascular disease (CVD), cancer, and depression, and whether these associations are independent of or moderated by sociodemographic factors, health behavior/weight status (smoking, alcohol consumption, physical activity, BMI [kg/m(2)]), or depressive symptoms. METHODS Participants were Finnish 25-74-year-olds (N=6258) from a population-based FINRISK 2007 study. Perceived absolute lifetime risks (Brewer et al., 2004; Becker, 1974; Weinstein and Nicolich, 1993; Guttmacher et al., 2004; Yoon et al., 2002) and first-degree family history of CVD, diabetes, cancer and depression, and health behaviors were self-reported. Weight and height were measured in a health examination. RESULTS Family history was most prevalent for cancer (36.7%), least for depression (19.6%). Perceived risk mean was highest for CVD (2.8), lowest for depression (2.0). Association between family history and perceived risk was strongest for diabetes (β=0.34, P<0.001), weakest for depression (β=0.19, P<0.001). Adjusting for sociodemographics, health behavior, and depressive symptoms did not change these associations. The association between family history and perceived risk tended to be stronger among younger than among older adults, but similar regardless of health behaviors or depressive symptoms. DISCUSSION Association between family history and perceived risk varies across diseases. People's current understandings on heritability need to be acknowledged in risk communication practices. Future research should seek to identify effective strategies to combine familial and genetic risk communication in disease prevention.
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Affiliation(s)
- Marleena Vornanen
- Department of Social Research, University of Helsinki, Unioninkatu 37, P.O. Box 54, 00014 Helsinki, Finland.
| | - Hanna Konttinen
- Department of Social Research, University of Helsinki, Unioninkatu 37, P.O. Box 54, 00014 Helsinki, Finland.
| | - Helena Kääriäinen
- National Institute for Health and Welfare, Mannerheimintie 166, P.O. Box 30, 00271 Helsinki, Finland.
| | - Satu Männistö
- National Institute for Health and Welfare, Mannerheimintie 166, P.O. Box 30, 00271 Helsinki, Finland.
| | - Veikko Salomaa
- National Institute for Health and Welfare, Mannerheimintie 166, P.O. Box 30, 00271 Helsinki, Finland.
| | - Markus Perola
- National Institute for Health and Welfare, Mannerheimintie 166, P.O. Box 30, 00271 Helsinki, Finland.
| | - Ari Haukkala
- Department of Social Research, University of Helsinki, Unioninkatu 37, P.O. Box 54, 00014 Helsinki, Finland.
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A Strategy for Addressing Population Health Management. JOURNAL OF PUBLIC HEALTH MANAGEMENT AND PRACTICE 2016; 22:E21-8. [PMID: 26910870 DOI: 10.1097/phh.0000000000000383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
CONTEXT Population health management in the era of the Affordable Care Act focuses on identifying needs of health care service areas for targeted strategies. The United States has a "health disadvantage" compared with peer countries, particularly regarding obesity and women's life expectancy, while having high rates of mammography screening. Emphasizing lifestyle factors is a strategy to reduce one's risk of obesity and heart disease, as well as some breast cancers. OBJECTIVE We explored perceptions of the risk of female population-based breast cancer mortality compared with heart disease mortality; perceived likelihood of developing breast cancer; and recognition of the association between modifiable lifestyle factors and breast cancer risk. DESIGN Cross-sectional online survey. SETTING Service area of one mid-Missouri health care system. PARTICIPANTS Female US residents ages 35 to 49 years who did not have a personal history of any cancer. RESULTS Minority women and women with a college education or less had greater odds of reporting that breast cancer, rather than heart disease, would cause more deaths in women this year. Women who had ever had a mammogram had greater odds of reporting a moderate/high compared with low likelihood of developing breast cancer. Women with less than a college education had greater odds of not knowing of any lifestyle behaviors or reporting only clinical behaviors related to reducing one's risk of breast cancer. CONCLUSIONS The present study illuminates areas of lagging information dissemination that may be used for targeted strategies for population health management in the era of the Affordable Care Act, that of bridging healthy lifestyle strategies for heart health with messages for breast health.
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Woo BK. Family history and its relationship with dementia stigma beliefs among Chinese Americans. Geriatr Gerontol Int 2015; 17:122-125. [PMID: 26694867 DOI: 10.1111/ggi.12686] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/15/2015] [Indexed: 01/24/2023]
Abstract
AIM It is known that Chinese Americans associate dementia with stigma and "loss of face." However, further research is required to provide a more complete picture of the extent and nature of stigma in Chinese Americans with family histories of dementia (FHD). The present study examined whether FHD are associated with quantitative measures of stigma in Chinese Americans. METHODS A total of 300 Chinese Americans in two health seminars answered a 15-item, true/false questionnaire to assess their beliefs toward dementia. Two groups were dichotomized and compared based on FHD. RESULTS Both groups subscribed to moderately stigmatizing views about dementia. Our findings showed that the group with FHD was more likely to disclose having relatives with dementia. However, this group was also more likely to perceive patients with dementia to be incapable of feeling other people's worries or concerns at once. CONCLUSIONS Strategies to decrease stigma toward dementia are required. Cultural interventions must also extend into the Chinese American general public to reduce stigma of dementia. Geriatr Gerontol Int 2017; 17: 122-125.
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Affiliation(s)
- Benjamin Kp Woo
- Olive View - UCLA Medical Center, University of California, Los Angeles, California, USA
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Endevelt R, Goren I, Sela T, Shalev V. Family history intake: a challenge to personalized approaches in health promotion and disease prevention. Isr J Health Policy Res 2015; 4:60. [PMID: 26609359 PMCID: PMC4659160 DOI: 10.1186/s13584-015-0055-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2015] [Accepted: 11/13/2015] [Indexed: 02/05/2023] Open
Abstract
Background Family history is considered an essential, obligatory part of the primary physician’s intake interview. Including coded FH in a unified medical file can save expensive genetic tests and detect the early onset of diseases in young people who are not recommended to be screened routinely. The objectives of this study are to explore the frequency and point in time of recording the coded family history (FH) as a first step to increasing awareness of the importance of such information. Methods All ICD-9 coded diagnoses of familial histories of disease (ICD-9 coded V16.0 – V19.8), including diseases related to gender, age, and indications of chronic diseases, were collected from the electronic medical records of patients ages 18 and above in Israel’s Maccabi Health Care system. The study was carried out in 2012 on the basis of coded data for 1.9 million Maccabi members, which were collected from 2004 through 2011. Results Of the Maccabi members (the second biggest HMO in Israel covering 2 million people), only 10 % had FH coded documentation. FH was significantly more frequent for females than for males (13.5 % vise 10.1 %) and increased with age. About 10 % of the FH documentation occurred before any disease was diagnosed. The most frequent FH documentation was observed for cardiovascular disease, hypertension, and diabetes. In the case of cancer FH was more frequent in females, whereas in the case of males it was cardiovascular disease. Discussion Family history is an easy tool and need to be coded and implimented in most visits in order to get the best information of the potential health and disease of the patients. Conclusions FH frequency is very low and varies with gender and age. The literature suggests that implementing it routinely in primary care will improve health care. Further research is needed to identify the factors that impede primary care givers from complying with FH guidelines.
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Affiliation(s)
- Ronit Endevelt
- University of Haifa, Welfare and Health Faculty, School of Public Health, Haifa, Israel ; Maccabi Health Care Services, Tel Aviv, Israel ; Nutrition Department, Health Ministry, Jerusalem, Israel
| | - Iris Goren
- Maccabi Health Care Services, Tel Aviv, Israel
| | - Tal Sela
- Maccabi Health Care Services, Tel Aviv, Israel
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Koehly LM, Morris BA, Skapinsky K, Goergen A, Ludden A. Evaluation of the Families SHARE workbook: an educational tool outlining disease risk and healthy guidelines to reduce risk of heart disease, diabetes, breast cancer and colorectal cancer. BMC Public Health 2015; 15:1120. [PMID: 26566980 PMCID: PMC4643512 DOI: 10.1186/s12889-015-2483-x] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2015] [Accepted: 11/10/2015] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Common diseases such as heart disease, diabetes, and cancer are etiologically complex with multiple risk factors (e.g., environment, genetic, lifestyle). These risk factors tend to cluster in families, making families an important social context for intervention and lifestyle-focused disease prevention. The Families Sharing Health Assessment and Risk Evaluation (SHARE) workbook was designed as an educational tool outlining family health history based risk of heart disease, type 2 diabetes, breast cancer, and colorectal cancer. The current paper describes the steps taken to develop and evaluate the workbook employing a user-centered design approach. METHODS The workbook was developed in four steps, culminating in an evaluation focusing on understanding and usability of the tool. The evaluation was based on two Phases of data collected from a sample of mothers of young children in the Washington, D.C., area. A baseline assessment and follow-up approximately two weeks after receipt of the workbook were conducted, as well as focus groups with participants. The design of the workbook was refined in response to participant feedback from the first evaluation Phase and subsequently re-evaluated with a new sample. RESULTS After incorporating user-based feedback and revising the workbook, Phase 2 evaluation results indicated that understanding of the workbook components improved for all sections (from 6.26 to 6.81 on a 7-point scale). In addition, 100% of users were able to use the algorithm to assess their disease risk and over 60% used the algorithm to assess family members' disease risk. At follow-up, confidence to increase fruit, vegetable and fiber intake improved significantly, as well. CONCLUSIONS The Families SHARE workbook was developed and evaluated resulting in a family health history tool that is both understandable and usable by key stakeholders. This educational tool will be used in intervention studies assessing the effectiveness of family genomics health educators who use the Families SHARE workbook to disseminate family risk information and encourage risk reducing behaviors. TRIAL REGISTRATION ClinicalTrials.gov, NCT01498276 . Registered 21 December 2011.
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Affiliation(s)
- Laura M Koehly
- Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Building 31, Rm B1B54, Bethesda, MD, 20892-2073, USA.
| | - Bronwyn A Morris
- Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Building 31, Rm B1B54, Bethesda, MD, 20892-2073, USA.
| | - Kaley Skapinsky
- Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Building 31, Rm B1B54, Bethesda, MD, 20892-2073, USA.
| | - Andrea Goergen
- Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Building 31, Rm B1B54, Bethesda, MD, 20892-2073, USA.
| | - Amanda Ludden
- Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Building 31, Rm B1B54, Bethesda, MD, 20892-2073, USA.
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Cancer Worry, Perceived Risk and Cancer Screening in First-Degree Relatives of Patients with Familial Gastric Cancer. J Genet Couns 2015; 25:520-8. [DOI: 10.1007/s10897-015-9903-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2015] [Accepted: 10/15/2015] [Indexed: 12/19/2022]
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Walker JG, Licqurish S, Chiang PPC, Pirotta M, Emery JD. Cancer risk assessment tools in primary care: a systematic review of randomized controlled trials. Ann Fam Med 2015; 13:480-9. [PMID: 26371271 PMCID: PMC4569458 DOI: 10.1370/afm.1837] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2015] [Revised: 05/14/2015] [Accepted: 06/09/2015] [Indexed: 12/21/2022] Open
Abstract
PURPOSE We conducted this review to identify published randomized controlled trials (RCTs) of cancer risk assessment tools used in primary care and to determine their impact on clinical utility (clinicians), screening uptake (patients), and psychosocial outcomes (patients). METHODS We searched EMBASE, PubMed and the Cochrane databases for RCTs of cancer risk assessment tools in primary care up to May 2014. Only studies set in primary care, with patients eligible for screening, and English-language articles were included. RESULTS The review included 11 trials of 7 risk tools. The trials were heterogeneous with respect to type of tool that was used, type(s) of cancer assessed, and outcomes measured. Evidence suggested risk tools improved patient risk perception, knowledge, and screening intentions, but not necessarily screening behavior. Overall, uptake of a tool was greater if initiated by patients, if used by a dedicated clinician, and when combined with decision support. There was no increase in cancer worry. Health promotion messages within the tool had positive effects on behavior change. Trials were limited by low-recruitment uptake, and the heterogeneity of the findings necessitated a narrative review rather than a meta-analysis. CONCLUSIONS Risk tools may increase intentions to have cancer screening, but additional interventions at the clinician or health system levels may be needed to increase risk-appropriate cancer screening behavior.
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Affiliation(s)
- J G Walker
- Department of General Practice, Melbourne Medical School, University of Melbourne, Carlton, Australia
| | - S Licqurish
- Department of General Practice, Melbourne Medical School, University of Melbourne, Carlton, Australia
| | - P P C Chiang
- Department of General Practice, Melbourne Medical School, University of Melbourne, Carlton, Australia
| | - M Pirotta
- Department of General Practice, Melbourne Medical School, University of Melbourne, Carlton, Australia
| | - J D Emery
- Department of General Practice, Melbourne Medical School, University of Melbourne, Carlton, Australia General Practice, School of Primary Aboriginal and Rural Health Care, University of Western Australia, Crawley, Australia The Primary Care Unit, Institute of Public Health, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
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Wang C, Sen A, Plegue M, Ruffin MT, O'Neill SM, Rubinstein WS, Acheson LS. Impact of family history assessment on communication with family members and health care providers: A report from the Family Healthware™ Impact Trial (FHITr). Prev Med 2015; 77:28-34. [PMID: 25901453 PMCID: PMC4508012 DOI: 10.1016/j.ypmed.2015.04.007] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2014] [Revised: 04/06/2015] [Accepted: 04/13/2015] [Indexed: 10/23/2022]
Abstract
OBJECTIVE This study examines the impact of Family Healthware™ on communication behaviors; specifically, communication with family members and health care providers about family health history. METHODS A total of 3786 participants were enrolled in the Family Healthware™ Impact Trial (FHITr) in the United States from 2005-7. The trial employed a two-arm cluster-randomized design, with primary care practices serving as the unit of randomization. Using generalized estimating equations (GEE), analyses focused on communication behaviors at 6month follow-up, adjusting for age, site and practice clustering. RESULTS A significant interaction was observed between study arm and baseline communication status for the family communication outcomes (p's<.01), indicating that intervention had effects of different magnitude between those already communicating at baseline and those who were not. Among participants who were not communicating at baseline, intervention participants had higher odds of communicating with family members about family history risk (OR=1.24, p=0.042) and actively collecting family history information at follow-up (OR=2.67, p=0.026). Family Healthware™ did not have a significant effect on family communication among those already communicating at baseline, or on provider communication, regardless of baseline communication status. Greater communication was observed among those at increased familial risk for a greater number of diseases. CONCLUSION Family Healthware™ prompted more communication about family history with family members, among those who were not previously communicating. Efforts are needed to identify approaches to encourage greater sharing of family history information, particularly with health care providers.
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Affiliation(s)
- Catharine Wang
- Department of Community Health Sciences, Boston University School of Public Health, Boston, USA.
| | - Ananda Sen
- Department of Biostatistics, University of Michigan, Ann Arbor, USA; Department of Family Medicine, University of Michigan, Ann Arbor, USA
| | - Melissa Plegue
- Center for Statistical Consultation and Research, University of Michigan, Ann Arbor, USA; Department of Family Medicine, University of Michigan, Ann Arbor, USA
| | - Mack T Ruffin
- Department of Family Medicine, University of Michigan, Ann Arbor, USA
| | - Suzanne M O'Neill
- Department of Medicine, Feinberg School of Medicine, Northwestern University, Evanston, USA
| | - Wendy S Rubinstein
- National Center for Biotechnology Information, National Institutes of Health, Bethesda, USA
| | - Louise S Acheson
- Departments of Family Medicine & Community Health and Reproductive Biology, Case Western Reserve University and Case Comprehensive Cancer Center, University Hospitals Case Medical Center, Cleveland, USA
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Chen ES, Carter EW, Winden TJ, Sarkar IN, Wang Y, Melton GB. Multi-source development of an integrated model for family health history. J Am Med Inform Assoc 2015; 22:e67-80. [PMID: 25336591 PMCID: PMC5901119 DOI: 10.1136/amiajnl-2014-003092] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2014] [Revised: 08/20/2014] [Accepted: 09/04/2014] [Indexed: 11/03/2022] Open
Abstract
OBJECTIVE To integrate data elements from multiple sources for informing comprehensive and standardized collection of family health history (FHH). MATERIALS AND METHODS Three types of sources were analyzed to identify data elements associated with the collection of FHH. First, clinical notes from multiple resources were annotated for FHH information. Second, questions and responses for family members in patient-facing FHH tools were examined. Lastly, elements defined in FHH-related specifications were extracted for several standards development and related organizations. Data elements identified from the notes, tools, and specifications were subsequently combined and compared. RESULTS In total, 891 notes from three resources, eight tools, and seven specifications associated with four organizations were analyzed. The resulting Integrated FHH Model consisted of 44 data elements for describing source of information, family members, observations, and general statements about family history. Of these elements, 16 were common to all three source types, 17 were common to two, and 11 were unique. Intra-source comparisons also revealed common and unique elements across the different notes, tools, and specifications. DISCUSSION Through examination of multiple sources, a representative and complementary set of FHH data elements was identified. Further work is needed to create formal representations of the Integrated FHH Model, standardize values associated with each element, and inform context-specific implementations. CONCLUSIONS There has been increased emphasis on the importance of FHH for supporting personalized medicine, biomedical research, and population health. Multi-source development of an integrated model could contribute to improving the standardized collection and use of FHH information in disparate systems.
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Affiliation(s)
- Elizabeth S Chen
- Center for Clinical and Translational Science—Biomedical Informatics Unit, University of Vermont, Burlington, Vermont, USA
- Department of Medicine—Division of General Internal Medicine, University of Vermont, Burlington, Vermont, USA
- Department of Computer Science, University of Vermont, Burlington, Vermont, USA
| | - Elizabeth W Carter
- Center for Clinical and Translational Science—Biomedical Informatics Unit, University of Vermont, Burlington, Vermont, USA
| | - Tamara J Winden
- Institute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, USA
- Division of Applied Research, Allina Health, Minneapolis, Minnesota, USA
| | - Indra Neil Sarkar
- Center for Clinical and Translational Science—Biomedical Informatics Unit, University of Vermont, Burlington, Vermont, USA
- Department of Computer Science, University of Vermont, Burlington, Vermont, USA
- Department of Microbiology and Molecular Genetics, University of Vermont, Burlington, Vermont, USA
| | - Yan Wang
- Institute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, USA
| | - Genevieve B Melton
- Institute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, USA
- Department of Surgery, University of Minnesota, Minneapolis, Minnesota, USA
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Pettey CM, McSweeney JC, Stewart KE, Price ET, Cleves MA, Heo S, Souder E. Perceptions of family history and genetic testing and feasibility of pedigree development among African Americans with hypertension. Eur J Cardiovasc Nurs 2014; 14:8-15. [PMID: 25322748 DOI: 10.1177/1474515114556198] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
BACKGROUND Pedigree development, family history, and genetic testing are thought to be useful in improving outcomes of chronic illnesses such as hypertension (HTN). However, the clinical utility of pedigree development is still unknown. Further, little is known about the perceptions of African Americans (AAs) of family history and genetic testing. AIMS This study examined the feasibility of developing pedigrees for AAs with HTN and explored perceptions of family history and genetic research among AAs with HTN. METHODS The US Surgeon General's My Family Health Portrait was administered, and 30-60 min in-person individual interviews were conducted. Descriptive statistics were used to analyze pedigree data. Interview transcripts were analyzed with content analysis and constant comparison. RESULTS Twenty-nine AAs with HTN were recruited from one free clinic (15 women, 14 men; mean age 49 years, standard deviation (SD) 9.6). Twenty-six (90%) reported their family history in sufficient detail to develop a pedigree. Perceptions of family history included knowledge of HTN in the family, culturally influenced family teaching about HTN, and response to family history of HTN. Most participants agreed to future genetic testing and DNA collection because they wanted to help others; some said they needed more information and others expressed a concern for privacy. CONCLUSION The majority of AAs in this sample possessed extensive knowledge of HTN within their family and were able to develop a three-generation pedigree with assistance. The majority were willing to participate in future genetic research.
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Affiliation(s)
| | - Jean C McSweeney
- College of Nursing, University of Arkansas for Medical Sciences, USA
| | - Katharine E Stewart
- General Administration, University of North Carolina and Department of Public Health Sciences, University of North Carolina - Charlotte, USA
| | - Elvin T Price
- College of Pharmacy, University of Arkansas for Medical Sciences, USA
| | - Mario A Cleves
- College of Medicine, University of Arkansas for Medical Sciences, USA
| | - Seongkum Heo
- College of Nursing, University of Arkansas for Medical Sciences, USA
| | - Elaine Souder
- College of Nursing, University of Arkansas for Medical Sciences, USA
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Shiloh S, deHeer HD, Peleg S, Hensley Alford S, Skapinsky K, Roberts JS, Hadley DW. The impact of multiplex genetic testing on disease risk perceptions. Clin Genet 2014; 87:117-23. [PMID: 24720448 DOI: 10.1111/cge.12403] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2014] [Revised: 03/25/2014] [Accepted: 04/09/2014] [Indexed: 12/11/2022]
Abstract
This study assessed the effects of multiplex genetic testing on disease risk perceptions among 216 healthy adults. Participants, aged 25-40, were recruited through the Multiplex Initiative, which offered a genetic susceptibility test for eight common diseases. Participants completed baseline telephone and web-based surveys prior to making the testing decision. Three months after the receipt of mailed test results, participants completed a follow-up telephone survey. Risk perceptions for the eight diseases were measured at baseline and follow-up, along with beliefs about genetic causation of those diseases. The main results were: (i) mean risk perceptions were considerably stable from baseline to follow-up; (ii) the best predictors of follow-up risk perceptions were the corresponding baseline perceptions and family history; and (iii) within-individuals, most participants increased or decreased their risk perceptions for specific diseases in concordance with the number of risk markers they carry, their family history and their beliefs about genetic causality of diseases. In conclusion, participants presented a vigilant approach to the interpretation of genetic test results, which provides reassurance with regard to a potential inflation of risk perceptions in the population because of multiplex genetic testing.
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Affiliation(s)
- S Shiloh
- School of Psychological Sciences, Tel Aviv University, Tel Aviv, Israel
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Hovick SR, Wilkinson AV, Ashida S, de Heer HD, Koehly LM. The impact of personalized risk feedback on Mexican Americans' perceived risk for heart disease and diabetes. HEALTH EDUCATION RESEARCH 2014; 29:222-34. [PMID: 24463396 PMCID: PMC3959204 DOI: 10.1093/her/cyt151] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2013] [Accepted: 12/17/2013] [Indexed: 05/28/2023]
Abstract
Little is known about the effect of personalized risk information on risk perceptions over time, particularly among ethnically diverse subpopulations. The present study examines Mexican American's (MAs) risk perceptions for heart disease and diabetes at baseline and following receipt of risk feedback based on family health history. Participants comprising 162 households received a pedigree or personalized risk feedback, with or without behavioral risk reduction recommendations. Multiple logistic regression analyses were used to assess lifetime perceived risk (LPR) at baseline, 3 months and 10 months following the receipt of risk feedback. Having an elevated familial risk of heart disease or diabetes increased the odds of an elevated LPR for both diseases at baseline. At 3 months, compared with receipt of a pedigree only, MAs receiving elevated risk feedback for both diseases were more likely to have an elevated LPR for both diseases. At 10 months, participants receiving weak risk feedback for both diseases indicated an adjustment to a lower LPR for heart disease only. Results suggest that communicating risk for multiple diseases may be more effective than a single disease, with responses to increased risk feedback more immediate than to weak risk feedback.
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Affiliation(s)
- Shelly R. Hovick
- School of Communication, The Ohio State University Columbus, Ohio 43210 USA, The University of Texas School of Public Health, Austin Regional Campus, Austin, TX, 78712 USA, University of Iowa College of Public Health, Iowa City, IA, 52242 USA, Department of Physical Therapy and Athletic Training, Northern Arizona University, Flagstaff, AZ, 86011 USA and National Human Genome Research Institute, Social and Behavioral Research Branch, National Institutes of Health, Bethesda, MD, 20892 USA
| | - Anna V. Wilkinson
- School of Communication, The Ohio State University Columbus, Ohio 43210 USA, The University of Texas School of Public Health, Austin Regional Campus, Austin, TX, 78712 USA, University of Iowa College of Public Health, Iowa City, IA, 52242 USA, Department of Physical Therapy and Athletic Training, Northern Arizona University, Flagstaff, AZ, 86011 USA and National Human Genome Research Institute, Social and Behavioral Research Branch, National Institutes of Health, Bethesda, MD, 20892 USA
| | - Sato Ashida
- School of Communication, The Ohio State University Columbus, Ohio 43210 USA, The University of Texas School of Public Health, Austin Regional Campus, Austin, TX, 78712 USA, University of Iowa College of Public Health, Iowa City, IA, 52242 USA, Department of Physical Therapy and Athletic Training, Northern Arizona University, Flagstaff, AZ, 86011 USA and National Human Genome Research Institute, Social and Behavioral Research Branch, National Institutes of Health, Bethesda, MD, 20892 USA
| | - Hendrik D. de Heer
- School of Communication, The Ohio State University Columbus, Ohio 43210 USA, The University of Texas School of Public Health, Austin Regional Campus, Austin, TX, 78712 USA, University of Iowa College of Public Health, Iowa City, IA, 52242 USA, Department of Physical Therapy and Athletic Training, Northern Arizona University, Flagstaff, AZ, 86011 USA and National Human Genome Research Institute, Social and Behavioral Research Branch, National Institutes of Health, Bethesda, MD, 20892 USA
| | - Laura M. Koehly
- School of Communication, The Ohio State University Columbus, Ohio 43210 USA, The University of Texas School of Public Health, Austin Regional Campus, Austin, TX, 78712 USA, University of Iowa College of Public Health, Iowa City, IA, 52242 USA, Department of Physical Therapy and Athletic Training, Northern Arizona University, Flagstaff, AZ, 86011 USA and National Human Genome Research Institute, Social and Behavioral Research Branch, National Institutes of Health, Bethesda, MD, 20892 USA
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De Melo-Martín I. The ethics of anonymous gamete donation: is there a right to know one's genetic origins? Hastings Cent Rep 2014; 44:28-35. [PMID: 24532424 DOI: 10.1002/hast.285] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
A growing number of jurisdictions hold that gamete donors must be identifiable to the children born with their eggs or sperm, on grounds that being able to know about one's genetic origins is a fundamental moral right. But the argument for that belief has not yet been adequately made.
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Shuval K, Chiu CY, Barlow CE, Gabriel KP, Kendzor DE, Businelle MS, Skinner CS, Balasubramanian BA. Family history of chronic disease and meeting public health guidelines for physical activity: the cooper center longitudinal study. Mayo Clin Proc 2013; 88:588-92. [PMID: 23726398 DOI: 10.1016/j.mayocp.2013.04.006] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2013] [Revised: 03/15/2013] [Accepted: 04/02/2013] [Indexed: 11/30/2022]
Abstract
We aimed to assess whether a family history of coronary heart disease, diabetes, or cancer is linked to meeting public health guidelines for health-promoting physical activity. To achieve this objective, we analyzed data on 29,513 adults who came to the Cooper Clinic (Dallas, Texas) between January 1, 1990, and December 31, 2010, for a preventive medicine visit. Patients completed a comprehensive medical survey including information on family medical history, physical activity, and other lifestyle behaviors. Bivariate and multivariate logistic regression were used to examine the relationship between having a family history of chronic disease and meeting physical activity guidelines. The results indicated that individuals with a family history of disease had reduced odds for meeting or exceeding physical activity guidelines. For example, participants with a family history of 3 diseases were 36% less likely to meet or exceed physical activity guidelines than their counterparts without a family history of disease (odds ratio, 0.64; 95% CI, 0.58-0.72), while controlling for covariates. Among this large sample of adults, those with a family history of chronic disease were less inclined to regularly engage in physical activity. Thus, targeted programs encouraging adoption and maintenance of health-promoting physical activity might be warranted, specifically targeting individuals with familial history of disease.
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Affiliation(s)
- Kerem Shuval
- University of Texas Health Science Center at Houston, School of Public Health, Dallas, TX 75390, USA.
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Wijdenes M, Henneman L, Qureshi N, Kostense PJ, Cornel MC, Timmermans DRM. Using web-based familial risk information for diabetes prevention: a randomized controlled trial. BMC Public Health 2013; 13:485. [PMID: 23683372 PMCID: PMC3711930 DOI: 10.1186/1471-2458-13-485] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2012] [Accepted: 05/10/2013] [Indexed: 01/22/2023] Open
Abstract
Background It has been suggested that family history information may be effective in motivating people to adopt health promoting behaviour. The aim was to determine if diabetic familial risk information by using a web-based tool leads to improved self-reported risk-reducing behaviour among individuals with a diabetic family history, without causing false reassurance among those without a family history. Methods An online sample of 1,174 healthy adults aged 35–65 years with a BMI ≥ 25 was randomized into two groups receiving an online diabetes risk assessment. Both arms received general tailored diabetes prevention information, whilst the intervention arm also received familial risk information after completing a detailed family history questionnaire. Separate analysis was performed for four groups (family history group: 286 control versus 288 intervention group; no family history: 269 control versus 266 intervention group). Primary outcomes were self-reported behavioural outcomes: fat intake, physical activity, and attitudes towards diabetes testing. Secondary outcomes were illness and risk perceptions. Results For individuals at familial risk there was no overall intervention effect on risk-reducing behaviour after three months, except for a decrease in self-reported saturated fat intake among low-educated individuals (Beta (b) -1.01, 95% CI −2.01 to 0.00). Familial risk information resulted in a decrease of diabetes risk worries (b −0.21, -0.40 to −0.03). For individuals without family history no effect was found on risk-reducing behaviour and perceived risk. A detailed family history assessment resulted in a greater percentage of individuals reporting a familial risk for diabetes compared to a simple enquiry. Conclusions Web-based familial risk information reduced worry related to diabetes risk and decreased saturated fat intake of those at greatest need of preventative care. However, the intervention was not effective for the total study population on improving risk-reducing behaviour. The emphasis on familial risk does not seem to result in false reassurance among individuals without family history. Additionally, a detailed family history questionnaire identifies more individuals at familial risk than a simple enquiry. Trial registration NTR1938
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Affiliation(s)
- Miranda Wijdenes
- Department of Public and Occupational Health, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
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