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Bradshaw RL, Kawamoto K, Bather JR, Goodman MS, Kohlmann WK, Chavez-Yenter D, Volkmar M, Monahan R, Kaphingst KA, Del Fiol G. Enhanced family history-based algorithms increase the identification of individuals meeting criteria for genetic testing of hereditary cancer syndromes but would not reduce disparities on their own. J Biomed Inform 2024; 149:104568. [PMID: 38081564 PMCID: PMC10842777 DOI: 10.1016/j.jbi.2023.104568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 11/07/2023] [Accepted: 12/07/2023] [Indexed: 12/17/2023]
Abstract
OBJECTIVE This study aimed to 1) investigate algorithm enhancements for identifying patients eligible for genetic testing of hereditary cancer syndromes using family history data from electronic health records (EHRs); and 2) assess their impact on relative differences across sex, race, ethnicity, and language preference. MATERIALS AND METHODS The study used EHR data from a tertiary academic medical center. A baseline rule-base algorithm, relying on structured family history data (structured data; SD), was enhanced using a natural language processing (NLP) component and a relaxed criteria algorithm (partial match [PM]). The identification rates and differences were analyzed considering sex, race, ethnicity, and language preference. RESULTS Among 120,007 patients aged 25-60, detection rate differences were found across all groups using the SD (all P < 0.001). Both enhancements increased identification rates; NLP led to a 1.9 % increase and the relaxed criteria algorithm (PM) led to an 18.5 % increase (both P < 0.001). Combining SD with NLP and PM yielded a 20.4 % increase (P < 0.001). Similar increases were observed within subgroups. Relative differences persisted across most categories for the enhanced algorithms, with disproportionately higher identification of patients who are White, Female, non-Hispanic, and whose preferred language is English. CONCLUSION Algorithm enhancements increased identification rates for patients eligible for genetic testing of hereditary cancer syndromes, regardless of sex, race, ethnicity, and language preference. However, differences in identification rates persisted, emphasizing the need for additional strategies to reduce disparities such as addressing underlying biases in EHR family health information and selectively applying algorithm enhancements for disadvantaged populations. Systematic assessment of differences in algorithm performance across population subgroups should be incorporated into algorithm development processes.
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Affiliation(s)
- Richard L Bradshaw
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA; University of Utah Health, Salt Lake City, UT, USA
| | - Kensaku Kawamoto
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA; University of Utah Health, Salt Lake City, UT, USA
| | - Jemar R Bather
- Department of Biostatistics, New York University School of Global Public Health, New York, NY, USA; Center for Anti-racism, Social Justice, & Public Health, New York University School of Global Public Health, New York, NY, USA
| | - Melody S Goodman
- Department of Biostatistics, New York University School of Global Public Health, New York, NY, USA; Center for Anti-racism, Social Justice, & Public Health, New York University School of Global Public Health, New York, NY, USA
| | - Wendy K Kohlmann
- University of Utah Health, Salt Lake City, UT, USA; Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA; Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Daniel Chavez-Yenter
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA; Department of Communication, University of Utah, Salt Lake City, UT, USA
| | - Molly Volkmar
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | | | - Kimberly A Kaphingst
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA; Department of Communication, University of Utah, Salt Lake City, UT, USA
| | - Guilherme Del Fiol
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA; University of Utah Health, Salt Lake City, UT, USA.
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Mooney R, Wu YP, Kehoe K, Volkmar M, Kohlmann W, Koptiuch C, Kaphingst KA. Experiences of patients and family members with follow-up care, information needs and provider support after identification of Lynch Syndrome. Hered Cancer Clin Pract 2023; 21:28. [PMID: 38115072 PMCID: PMC10731879 DOI: 10.1186/s13053-023-00273-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 12/05/2023] [Indexed: 12/21/2023] Open
Abstract
BACKGROUND Lynch Syndrome is among the most common hereditary cancer syndromes and requires ongoing cancer surveillance, repeated screenings and potential risk-reducing surgeries. Despite the importance of continued surveillance, there is limited understanding of patient experiences after initial testing and counseling, the barriers or facilitators they experience adhering to recommendations, and how they want to receive information over time. METHODS A cross-sectional, observational study was conducted among 127 probands and family members who had received genetic testing for Lynch Syndrome. We conducted semi-structured interviews to determine proband and family member experiences after receiving genetic testing results including their surveillance and screening practices, information needs, and interactions with health care providers. Both closed-ended and open-ended data were collected and analyzed. RESULTS Both probands (96.9%) and family members (76.8%) received recommendations for follow-up screening and all probands (100%) and most family members (98.2%) who tested positive had completed at least one screening. Facilitators to screening included receiving screening procedure reminders and the ease of making screening and surveillance appointments. Insurance coverage to pay for screenings was a frequent concern especially for those under 50 years of age. Participants commented that their primary care providers were often not knowledgeable about Lynch Syndrome and surveillance recommendations; this presented a hardship in navigating ongoing surveillance and updated information. Participants preferred information from a knowledgeable health care provider or a trusted internet source over social media or support groups. CONCLUSIONS Probands and family members receiving genetic testing for Lynch Syndrome generally adhered to initial screening and surveillance recommendations. However, factors such as insurance coverage and difficulty finding a knowledgeable healthcare provider presented barriers to receiving recommended follow-up care. There is an opportunity to improve care through better transitions in care, procedures to keep primary care providers informed of surveillance guidelines, and practices so that patients receive reminders and facilitated appointment setting for ongoing screening and surveillance at the time they are due.
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Affiliation(s)
- Ryan Mooney
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.
| | - Yelena P Wu
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
- Department of Dermatology, University of Utah, Salt Lake City, UT, USA
| | - Kelsey Kehoe
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
- Department of Psychology, University of Massachusetts Boston, Boston, MA, USA
| | - Molly Volkmar
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Wendy Kohlmann
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Cathryn Koptiuch
- VA Medical Center, National TeleOncology Service, Durham, NC, USA
| | - Kimberly A Kaphingst
- Department of Communication, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
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Daly BM, Kaphingst KA. Variability in conceptualizations and measurement of genetic literacy. PEC Innov 2023; 2:100147. [PMID: 37214533 PMCID: PMC10194132 DOI: 10.1016/j.pecinn.2023.100147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 03/01/2023] [Accepted: 03/05/2023] [Indexed: 05/24/2023]
Abstract
Objective To examine definitions and measures for genetic literacy in the published literature, and the associations between commonly utilized measures. Methods We completed a systematic review searching eight databases for empirical articles containing quantitative measures of genetic literacy. Articles were assessed for study properties, definitions, and measure characteristics. An online survey was then completed by 531 U.S. adults to examine correlations between frequently used genetic literacy measures. Results 92 articles met inclusion criteria for the systematic review. Articles rarely defined genetic literacy, and existing definitions showed inconsistencies in the knowledge and cognitive domains that comprise genetic literacy. Definitions frequently included objective conceptual knowledge, comprehension, and applied knowledge, however most measures only assessed objective or subjective knowledge. Genetic literacy measures were infrequently assessed for psychometric properties and the content domains assessed by measures varied considerably. Correlation analyses showed weak to moderate relationships between genetic literacy measures. Conclusion A comprehensive and consistent definition of genetic literacy and its cognitive and conceptual domains should be implemented to inform the development of concordant measurement tools and improve research and clinical care in genetics. Innovation We examine and compare definitions and measures of genetic literacy, suggest a more comprehensive definition, and recommendations for research development.
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Affiliation(s)
- Brianne M. Daly
- Huntsman Cancer Institute, University of Utah, 2000 Circle of Hope Drive, Salt Lake City, UT 84112, USA
| | - Kimberly A. Kaphingst
- Huntsman Cancer Institute, University of Utah, 2000 Circle of Hope Drive, Salt Lake City, UT 84112, USA
- Department of Communication, University of Utah, 255 S. Central Campus Drive, Salt Lake City, UT 84112, USA
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Zhong L, Bather JR, Daly BM, Kohlmann WK, Goodman MS, Rothwell E, Kaphingst KA. Investigation of interest in and timing preference for cancer predisposition testing and expanded carrier screening among women of reproductive age. PEC Innov 2023; 2:100128. [PMID: 37214524 PMCID: PMC10194195 DOI: 10.1016/j.pecinn.2023.100128] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 01/19/2023] [Accepted: 01/23/2023] [Indexed: 05/24/2023]
Abstract
Objective To examine cognitive, relational, and social predictors of interest in and timing preference for cancer predisposition testing (CPT) and expanded carrier screening (ECS) offered in routine gynecologic care for women of reproductive age. Methods Women between 20 and 35 years old who were currently pregnant or had a prior pregnancy (N = 351) completed an online survey. Bivariate and multivariable analyses were used to identify significant predictors of women's interest in and timing preference for CPT and ECS. Results Most respondents reported high interest in CPT and ECS and preferred to have them when planning for a pregnancy. Perceived importance of genetic information and negative attitude towards uncertainty predicted interest in CPT and ECS in multivariable models. Genetic knowledge predicted preference for CPT or ECS when planning for a pregnancy. Conclusion Educational and decision support tools should be developed to enhance women's knowledge and awareness of CPT and ECS and to provide them with strategies to manage uncertainty. Innovation We examined women's timing preference for CPT and ECS and the impact of partner support and trust with gynecologist. A context-specific attitudes toward uncertainty scale was used to investigate women's particular perceptions of uncertainty in genetic testing.
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Affiliation(s)
- Lingzi Zhong
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States
- Department of Communication, University of Utah, Salt Lake City, UT, United States
| | - Jemar R. Bather
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Brianne M. Daly
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States
| | - Wendy K. Kohlmann
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States
| | - Melody S. Goodman
- Department of Biostatistics, New York University School of Global Public Health, New York City, NY, United States
| | - Erin Rothwell
- Department of Obstetrics and Gynecology, University of Utah, Salt Lake City, UT, USA
| | - Kimberly A. Kaphingst
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States
- Department of Communication, University of Utah, Salt Lake City, UT, United States
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Wellman ML, Holton AE, Kaphingst KA. "Where do I go? Who do I go to?": BRCA Previvors, genetic counselors and family planning. PEC Innov 2023; 2:100157. [PMID: 37214521 PMCID: PMC10194322 DOI: 10.1016/j.pecinn.2023.100157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 03/18/2023] [Accepted: 04/19/2023] [Indexed: 05/24/2023]
Abstract
Objective We sought to understand BRCA previvors' perceptions of communication with genetic counselors and other healthcare providers. Methods We conducted 16 qualitative interviews and utilized thematic analysis to develop patterns present in the narratives of previvors. Results Interviews with previvors suggest genetic counselors and other providers often make assumptions about previvors' family planning and treatment needs based on perceived gender, age, and sexual orientation. Conclusion BRCA patients require individualized attention when planning for their future and making healthcare decisions and we argue that implementing patient-centered care practices into the communication process can provide a higher quality of care. Innovation This study offers an innovative lens through which scholars and healthcare providers may examine the experiences of BRCA previvors as they seek adequate care. Asking previvors to explain their perceptions of conversations with genetic counselors and healthcare providers offers insight into the communicative process of seeking care rather than the health outcomes of the care itself. Our findings suggest biases among providers related to gender, age, and sexual orientation are concerning elements of family planning communication that potentially interrupt previvors' abilities to express their care needs in a safe environment. We argue for an increased awareness of, and advocacy for, more inclusive conversations regarding treatment and family planning decisions.
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Affiliation(s)
- Mariah L. Wellman
- Department of Communication, University of Illinois Chicago, 1007 W. Harrison St., Chicago, IL, 60607, United States of America
| | - Avery E. Holton
- Department of Communication, University of Utah, United States of America
| | - Kimberly A. Kaphingst
- Department of Communication, Huntsman Cancer Institute, University of Utah, United States of America
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Huang LC, Bleicher J, Torre M, Johnson JE, Presson A, Millar MM, Gordon AJ, Brooke BS, Kaphingst KA, Harris AHS. Evaluating a health system-wide opioid disposal intervention distributing home-disposal bags. Health Serv Res 2023; 58:1256-1265. [PMID: 37700549 PMCID: PMC10622267 DOI: 10.1111/1475-6773.14227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/14/2023] Open
Abstract
OBJECTIVE To evaluate a health system-wide intervention distributing free home-disposal bags to surgery patients prescribed opioids. DATA SOURCES AND STUDY SETTING We collected patient surveys and electronic medical record data at an academic health system. STUDY DESIGN We conducted a prospective observational study. The bags were primarily distributed at pharmacies, though pharmacists delivered bags to some patients. The primary outcome was disposal of leftover opioids (effectiveness). Secondary outcomes were patient willingness to dispose and factors associated with disposal (effectiveness), recalling receipt of the bag (reach), and recalling receipt of bags and disposal over time (maintenance). We used a modified Poisson regression to evaluate the relative risk of disposal. Inverse probability of treatment weighting, based on propensity scores, was used to account for differences between survey responders and non-responders and reduce nonresponse bias. DATA COLLECTION/EXTRACTION METHODS From August 2020 to May 2021, we surveyed patients 2 weeks after discharge (allowing for home opioid use). Eligibility criteria were age ≥18, English being primary language, valid email address, hospitalization ≤30 days, discharge home, and an opioid prescription sent to a system pharmacy. PRINCIPAL FINDINGS We identified 5134 patients with 2174 completing the survey (response rate 42.3%). Among respondents, 1375 (63.8%) recalled receiving the disposal bag. Among 1075 respondents with leftover opioids, 284 (26.4%) disposed, 552 (51.3%) planned to dispose, 79 (7.4%) did not plan to dispose, 69 (6.4%) had undecided, and 91 (8.5%) had not considered disposal. Recalling receipt of the bag (incidence rate ratio [IRR] 1.25, 95% confidence interval [CI] 1.13-1.37) was positively associated with disposal. Patients who used opioids in the last year were less likely to dispose (IRR 0.82, 95% CI 0.73-0.93). Disposal rates remained stable over the study period while recalling receipt of bags trended up. CONCLUSIONS A pragmatic implementation of a disposal intervention resulted in lower disposal rates than prior trials.
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Affiliation(s)
- Lyen C. Huang
- Department of SurgeryUniversity of UtahSalt Lake CityUtahUSA
- Huntsman Cancer InstituteUniversity of UtahSalt Lake CityUtahUSA
| | - Josh Bleicher
- Department of SurgeryUniversity of UtahSalt Lake CityUtahUSA
| | - Michael Torre
- Department of Internal MedicineUniversity of UtahSalt Lake CityUtahUSA
| | | | - Angela Presson
- Department of Internal MedicineUniversity of UtahSalt Lake CityUtahUSA
| | - Morgan M. Millar
- Department of Internal MedicineUniversity of UtahSalt Lake CityUtahUSA
| | - Adam J. Gordon
- Program for Addiction Research, Clinical Care, Knowledge and Advocacy (PARCKA), Division of Epidemiology, Department of Internal MedicineUniversity of Utah School of MedicineSalt Lake CityUtahUSA
- Informatics, Decision‐Enhancement, and Analytic Sciences (IDEAS) CenterVA Salt Lake City Health Care SystemSalt Lake CityUtahUSA
| | | | - Kimberly A. Kaphingst
- Huntsman Cancer InstituteUniversity of UtahSalt Lake CityUtahUSA
- Department of CommunicationUniversity of UtahSalt Lake CityUtahUSA
| | - Alex H. S. Harris
- Department of SurgeryStanford UniversityStanfordCaliforniaUSA
- VA HSR&D Center for Innovation to ImplementationPalo Alto VA Health Care SystemPalo AltoCaliforniaUSA
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Beach WA, Canary HE, Chen YW, Daly BM, Gammon A, Savage MW, Madlensky L, Kaphingst KA. Communication About Negative and Uncertain Results: Interactional Dilemmas During a Genetic Telehealth Consult. Health Commun 2023; 38:3252-3263. [PMID: 36415031 PMCID: PMC10200822 DOI: 10.1080/10410236.2022.2145770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
This case study focuses on a video telehealth consult to discuss genetic testing results. Participants include a Genetic Counselor (GC) and a Patient (P) previously diagnosed with ovarian cancer who is currently undergoing chemotherapy treatments. Utilizing conversation analysis (CA), attention is first given to a series of interactional dilemmas as GC delivers and P responds to negative, uncertain, and complex test results. Specific findings address practices employed by GC to structure the encounter and establish authority, impacts on P's participation and understandings, recurring and at times problematic orientations to "negative" findings, and inherent ambiguities faced by GC and P when attempting to discern good and bad news. Close examination of these moments provides a unique opportunity to identify, describe, and explain genetic counseling as a co-produced, interactional achievement. These findings are then integrated with patient's post-counseling survey (susceptibility, anxiety, uncertainty, fear, and hope), including reported experiences which broaden understandings of the interactional environment. Specific recommendations are raised for improving counseling skills, enhancing patients' understandings, and building therapeutic alliances addressing both patients' emotional circumstances and the complexities of genetic test results.
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Affiliation(s)
| | | | - Yea-Wen Chen
- School of Communication, San Diego State University
| | | | | | | | - Lisa Madlensky
- Department of Medicine and Moores Cancer Center; University of California San Diego
| | - Kimberly A. Kaphingst
- Huntsman Cancer Institute, University of Utah
- Department of Communication, University of Utah
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Abstract
Research on previvors, individuals with a genetic predisposition to develop hereditary breast and ovarian cancer but who have not yet been diagnosed with breast or other cancers, examines online information gathering and community support to alleviate uncertainty. However, research exploring online content published by previvors themselves is limited. We examined content published to Instagram and TikTok to explore how breast cancer previvors discussed their lived experience which included, but was not limited to, genetic testing, diagnosis with a BRCA1/2 pathogenic (i.e. risk-increasing) variant, the decision to undergo preventative measures like surgery and/or reconstruction, and how they cope after diagnosis and surgical procedures. In the findings, we explicate how many previvors feel a responsibility to share their authentic experience on social media in order to help others and mitigate their own feelings of uncertainty. This study offers a snapshot of how women are sharing breast cancer previvorship and building social connections with each other online.
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Baldry E, Baty BJ, Kaphingst KA, Gammon A, Erby LH, Roter DL. Applying the practice-based competencies to evaluate and characterize the contracting process within genetic counseling sessions. J Genet Couns 2023. [PMID: 37746670 DOI: 10.1002/jgc4.1728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 04/17/2023] [Accepted: 04/24/2023] [Indexed: 09/26/2023]
Abstract
Contracting is a skill used by genetic counselors (GCs) to establish a shared vision for the session. Ensuring that patients and GCs are aligned on expectations for the encounter allows GCs to meet patient needs and support patient autonomy. Although contracting is described in the practice-based competencies (PBCs), the process has not been systematically observed in practice. We sought to further elucidate the skills used for contracting within genetic counseling sessions through directed content analysis of transcripts from 148 simulated prenatal and cancer genetic counseling sessions. An a priori codebook and rating scale were developed based on four contracting sample skills described in the PBCs: (a) describing the genetic counseling process, (b) eliciting client concerns, (c) applying client concerns to a session agenda, (d) modifying the agenda in response to emerging concerns. The rating scale described the quality of each skill on a 4-point scale of "absent," "minimal," "adequate," and "excellent." The codebook and rating scale were pilot tested with 40% of transcripts (n = 60). Three authors independently coded and rated the final 60% of transcripts (n = 88), resolving discrepancies via a consensus process. We found that the four PBC skills were present in most sessions (88%-98%), and on average, GCs received "adequate" scores on all four skills. We also identified three additional components of contracting not described in the PBCs: assessing whether client concerns were met, inviting to interrupt, and providing opportunity for partner concerns. This study represents the first attempt to evaluate GC performance of a PBC during a genetic counseling session. Our findings demonstrate that the PBC sample contracting skills reflect practice and suggest that they can be used in assessment of the genetic counseling contracting process. This type of analysis could be adapted in the future to provide support for other standards of practice in the genetic counseling field.
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Affiliation(s)
- Emma Baldry
- University of Utah Graduate Program in Genetic Counseling, Salt Lake City, Utah, USA
| | - Bonnie J Baty
- University of Utah Graduate Program in Genetic Counseling, Salt Lake City, Utah, USA
| | | | - Amanda Gammon
- Huntsman Cancer Institute, Salt Lake City, Utah, USA
| | - Lori H Erby
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA
- Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Debra L Roter
- Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
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Kaphingst KA. Future Forecasting for Research and Practice in Genetic Literacy. Public Health Genomics 2023; 26:159-164. [PMID: 37699364 PMCID: PMC10614492 DOI: 10.1159/000533968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Accepted: 08/31/2023] [Indexed: 09/14/2023] Open
Affiliation(s)
- Kimberly A Kaphingst
- Department of Communication and Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
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11
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Chavez-Yenter D, Holton A, Vega AS, Zamora G, Kaphingst KA. Ciencia, Genética, y ¿Desinformación?: A content analysis of genetic testing coverage from US Spanish-language news media. J Genet Couns 2023. [PMID: 37421231 DOI: 10.1002/jgc4.1747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 06/12/2023] [Accepted: 06/25/2023] [Indexed: 07/10/2023]
Abstract
Genetic testing (GT) has become ubiquitous in the United States, either in clinical or direct-to-consumer markets. White and English-speaking populations have primarily benefited from this new technology, leaving other groups, like Hispanic populations, behind. Explanations for this disparity has cited a lack of awareness and knowledge of genetic testing purposes. Science communication from English-language media play an important role in setting initial attitudes and influencing decision-making for audiences. However, Spanish-language media have virtually no research published on documented potential effects for GT utilization despite the continued growth of Hispanic Spanish-speaking groups in the United States. Thus, this study characterized coverage of GT from two of the most prominent US Spanish-language media outlets, Telemundo and Univision. Over a 12-year time period, we identified 235 written articles of GT, mainly focusing on forensics applications, followed by gossip and health. There were 292 sources referenced across all 235 articles drawing from governmental agencies or officials, other news agencies, and medical institutions or officials. The findings suggest that coverage of GT among Spanish-language news outlets is limited. When Spanish-language news outlets do cover GT, they focus on aspects of intrigue or entertainment more than demystifying and explaining GT. Stories tend to cite other published articles, with author attribution often missing, leading to questions of comfort of Spanish-media to cover these topics. Further, the publishing process may lead to confusion of the purpose of genetic testing for health purposes and may bias Spanish-speaking groups towards genetic testing for health purposes. Thus, reconciliation and education initiatives around genetic testing purposes are needed for Spanish-speaking communities from not only media, but also genetics providers and institutions.
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Affiliation(s)
- Daniel Chavez-Yenter
- Department of Communication, University of Utah, Salt Lake City, Utah, USA
- Utah Center for Excellence in ELSI Research, University of Utah, Salt Lake City, Utah, USA
- Cancer Control and Population Sciences, Huntsman Cancer Institute, Salt Lake City, Utah, USA
| | - Avery Holton
- Department of Communication, University of Utah, Salt Lake City, Utah, USA
- Utah Center for Excellence in ELSI Research, University of Utah, Salt Lake City, Utah, USA
| | - Alexis S Vega
- Department of Communication, University of Utah, Salt Lake City, Utah, USA
| | - Ginger Zamora
- Department of Communication, University of Utah, Salt Lake City, Utah, USA
| | - Kimberly A Kaphingst
- Department of Communication, University of Utah, Salt Lake City, Utah, USA
- Utah Center for Excellence in ELSI Research, University of Utah, Salt Lake City, Utah, USA
- Cancer Control and Population Sciences, Huntsman Cancer Institute, Salt Lake City, Utah, USA
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12
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Stump TK, Wetter DW, Kuzmenko T, Orleans B, Kolp L, Wirth J, Del Fiol G, Chipman J, Haaland B, Kaphingst KA, Hersh AL, Wu YP. Preliminary Reach of an Information Technology Approach to Support COVID-19 Testing in Schools. Pediatrics 2023; 152:e2022060352E. [PMID: 37394508 PMCID: PMC10312282 DOI: 10.1542/peds.2022-060352e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/04/2023] [Indexed: 07/04/2023] Open
Abstract
OBJECTIVES SCALE-UP Counts tests population health management interventions to promote coronavirus disease 2019 (COVID-19) testing in kindergarten through 12th-grade schools that serve populations that have been historically marginalized. METHODS Within 6 participating schools, we identified 3506 unique parents/guardians who served as the primary contact for at least 1 student. Participants were randomized to text messaging (TM), text messaging + health navigation (HN) (TM + HN), or usual care. Bidirectional texts provided COVID-19 symptom screening, along with guidance on obtaining and using tests as appropriate. If parents/guardians in the TM + HN group were advised to test their child but either did not test or did not respond to texts, they were called by a trained health navigator to address barriers. RESULTS Participating schools served a student population that was 32.9% non-white and 15.4% Hispanic, with 49.6% of students eligible to receive free lunches. Overall, 98.8% of parents/guardians had a valid cell phone, of which 3.8% opted out. Among the 2323 parents/guardians included in the intervention, 79.6% (n = 1849) were randomized to receive TM, and 19.1% (n = 354) engaged with TM (ie, responded to at least 1 message). Within the TM + HN group (40.1%, n = 932), 1.3% (n = 12) qualified for HN at least once, of which 41.7% (n = 5) talked to a health navigator. CONCLUSIONS TM and HN are feasible ways to reach parents/guardians of kindergarten through 12th-grade students to provide COVID-19 screening messages. Strategies to improve engagement may strengthen the impact of the intervention.
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Affiliation(s)
- Tammy K. Stump
- Departments of Dermatology
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - David W. Wetter
- Population Health Sciences
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | | | - Brian Orleans
- Population Health Sciences
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Leighann Kolp
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Jennifer Wirth
- Population Health Sciences
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | | | - Jonathan Chipman
- Population Health Sciences
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Benjamin Haaland
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | | | | | - Yelena P. Wu
- Departments of Dermatology
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
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13
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Schlechter CR, Reese TJ, Wirth J, Gibson B, Kawamoto K, Siaperas T, Pruhs A, Dinkins CP, Zhang Y, Friedrichs M, George S, Lam CY, Pierce JH, Borsato EP, Cornia RC, Stevens L, Martinez A, Bradshaw RL, Kaphingst KA, Hess R, Del Fiol G, Wetter DW. Rapid-cycle designs to adapt interventions for COVID-19 in safety-net healthcare systems. Transl Behav Med 2023; 13:389-399. [PMID: 36999823 PMCID: PMC10255772 DOI: 10.1093/tbm/ibac101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/01/2023] Open
Abstract
Racial/ethnic minority, low socioeconomic status, and rural populations are disproportionately affected by COVID-19. Developing and evaluating interventions to address COVID-19 testing and vaccination among these populations are crucial to improving health inequities. The purpose of this paper is to describe the application of a rapid-cycle design and adaptation process from an ongoing trial to address COVID-19 among safety-net healthcare system patients. The rapid-cycle design and adaptation process included: (a) assessing context and determining relevant models/frameworks; (b) determining core and modifiable components of interventions; and (c) conducting iterative adaptations using Plan-Do-Study-Act (PDSA) cycles. PDSA cycles included: Plan. Gather information from potential adopters/implementers (e.g., Community Health Center [CHC] staff/patients) and design initial interventions; Do. Implement interventions in single CHC or patient cohort; Study. Examine process, outcome, and context data (e.g., infection rates); and, Act. If necessary, refine interventions based on process and outcome data, then disseminate interventions to other CHCs and patient cohorts. Seven CHC systems with 26 clinics participated in the trial. Rapid-cycle, PDSA-based adaptations were made to adapt to evolving COVID-19-related needs. Near real-time data used for adaptation included data on infection hot spots, CHC capacity, stakeholder priorities, local/national policies, and testing/vaccine availability. Adaptations included those to study design, intervention content, and intervention cohorts. Decision-making included multiple stakeholders (e.g., State Department of Health, Primary Care Association, CHCs, patients, researchers). Rapid-cycle designs may improve the relevance and timeliness of interventions for CHCs and other settings that provide care to populations experiencing health inequities, and for rapidly evolving healthcare challenges such as COVID-19.
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Affiliation(s)
- Chelsey R Schlechter
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Thomas J Reese
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jennifer Wirth
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Bryan Gibson
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
| | - Kensaku Kawamoto
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
| | - Tracey Siaperas
- Association for Utah Community Health, Salt Lake City, UT, USA
| | - Alan Pruhs
- Association for Utah Community Health, Salt Lake City, UT, USA
| | | | - Yue Zhang
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | | | - Stephanie George
- Utah Department of Health and Human Services, Salt Lake City, UT, USA
| | - Cho Y Lam
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Joni H Pierce
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
| | - Emerson P Borsato
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
| | - Ryan C Cornia
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
| | - Leticia Stevens
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
| | - Anna Martinez
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Richard L Bradshaw
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
| | - Kimberly A Kaphingst
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
- Department of Communication, University of Utah, Salt Lake City, UT, USA
| | - Rachel Hess
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
- Department of Communication, University of Utah, Salt Lake City, UT, USA
| | - Guilherme Del Fiol
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - David W Wetter
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
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14
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Wu YP, Hamilton JG, Kaphingst KA, Jensen JD, Kohlmann W, Parsons BG, Lillie HM, Wang X, Haaland B, Wankier AP, Grossman D, Hay JL. Increasing Skin Cancer Prevention in Young Adults: the Cumulative Impact of Personalized UV Photography and MC1R Genetic Testing. J Cancer Educ 2023; 38:1059-1065. [PMID: 36306029 PMCID: PMC10502947 DOI: 10.1007/s13187-022-02232-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 10/19/2022] [Indexed: 06/02/2023]
Abstract
Skin cancer has become increasingly common among young adults; however, this population does not consistently adhere to recommended methods for preventing the disease. Interventions in college settings have relied on appearance-focused appeals and have not been able to examine the cumulative effect of multiple behavior change and skin cancer risk communication strategies. The goal of the current study was to examine the unique and combined impacts of personalized ultraviolet (UV) radiation photographs, genetic testing for skin cancer risk, and general skin cancer prevention education. Participants were randomly assigned to one of four conditions: (1) skin cancer prevention education, (2) education + UV photo, (3) education + genetic testing, and (4) education + UV photo + genetic testing. Self-reported sun protection, tanning, and sunburn were assessed at baseline, immediately post-intervention, and 1 month post-intervention. The findings indicated benefits of the interventions to skin cancer prevention behaviors in the overall sample; however, the combined (UV photo + genetic testing) intervention had the most consistent positive effects on behaviors. Intervention effects were distinct across seasons. These results suggest that interventions containing multiple skin cancer risk communication strategies hold promise in benefitting health-promoting behavior changes in an at-risk, young adult population.Trial Registration Number: NCT03979872; Registered 6/5/2019.
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Affiliation(s)
- Yelena P Wu
- Department of Dermatology, University of Utah Health Sciences Center, 30 North 1900 East, 4A330-Salt Lake City, UT, 84132, USA.
- Huntsman Cancer Institute, University of Utah, 2000 Circle of Hope Drive, Rm LL376, Salt Lake City, UT, 84112, USA.
| | - Jada G Hamilton
- Department of Psychiatry & Behavioral Sciences, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY, 10065, USA
- Department of Medicine, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY, 10065, USA
| | - Kimberly A Kaphingst
- Huntsman Cancer Institute, University of Utah, 2000 Circle of Hope Drive, Rm LL376, Salt Lake City, UT, 84112, USA
- Department of Communication, University of Utah, 255 Central Campus Drive, Salt Lake City, UT, 84112, USA
| | - Jakob D Jensen
- Huntsman Cancer Institute, University of Utah, 2000 Circle of Hope Drive, Rm LL376, Salt Lake City, UT, 84112, USA
- Department of Communication, University of Utah, 255 Central Campus Drive, Salt Lake City, UT, 84112, USA
| | - Wendy Kohlmann
- Huntsman Cancer Institute, University of Utah, 2000 Circle of Hope Drive, Rm LL376, Salt Lake City, UT, 84112, USA
| | - Bridget G Parsons
- Huntsman Cancer Institute, University of Utah, 2000 Circle of Hope Drive, Rm LL376, Salt Lake City, UT, 84112, USA
| | - Helen M Lillie
- Department of Communication, University of Utah, 255 Central Campus Drive, Salt Lake City, UT, 84112, USA
| | - Xuechen Wang
- Huntsman Cancer Institute, University of Utah, 2000 Circle of Hope Drive, Rm LL376, Salt Lake City, UT, 84112, USA
- Department of Population Health Sciences, University of Utah, 295 Chipeta Way, Williams Building Room 1N410, Salt Lake City, UT, 84108, USA
| | - Benjamin Haaland
- Huntsman Cancer Institute, University of Utah, 2000 Circle of Hope Drive, Rm LL376, Salt Lake City, UT, 84112, USA
- Department of Population Health Sciences, University of Utah, 295 Chipeta Way, Williams Building Room 1N410, Salt Lake City, UT, 84108, USA
| | - Ali P Wankier
- Huntsman Cancer Institute, University of Utah, 2000 Circle of Hope Drive, Rm LL376, Salt Lake City, UT, 84112, USA
| | - Douglas Grossman
- Department of Dermatology, University of Utah Health Sciences Center, 30 North 1900 East, 4A330-Salt Lake City, UT, 84132, USA
- Huntsman Cancer Institute, University of Utah, 2000 Circle of Hope Drive, Rm LL376, Salt Lake City, UT, 84112, USA
| | - Jennifer L Hay
- Department of Psychiatry & Behavioral Sciences, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY, 10065, USA
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15
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Bleicher J, Johnson JE, Cain BT, Shaw RD, Acher AA, Gleason L, Barth RJ, Chu DI, Jung S, Melnick D, Kaphingst KA, Smith BK, Huang LC. Surgical Trainee Perspectives on the Opioid Crisis: The Influence of Explicit and Hidden Curricula. J Surg Educ 2023; 80:786-796. [PMID: 36890045 DOI: 10.1016/j.jsurg.2023.02.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Accepted: 02/16/2023] [Indexed: 05/23/2023]
Abstract
OBJECTIVE In order to effectively create and implement an educational program to improve opioid prescribing practices, it is important to first consider the unique perspectives of residents on the frontlines of the opioid epidemic. We sought to better understand resident perspectives on opioid prescribing, current practices in pain management, and opioid education as a needs assessment for designing future educational interventions. DESIGN This is a qualitative study using focus groups of surgical residents at 4 different institutions. SETTING We conducted focus groups using a semistructured interview guide in person or over video conferencing. The residency programs selected for participation represent a broad geographic range and varying residency sizes. PARTICIPANTS We used purposeful sampling to recruit general surgery residents from the University of Utah, University of Wisconsin, Dartmouth-Hitchcock Medical Center, and the University of Alabama at Birmingham. All general surgery residents at these locations were eligible for inclusion. Participants were assigned to focus groups by residency site and their status as junior (PGY-2, PGY-3) or senior resident (PGY-4, PGY-5). RESULTS We completed 8 focus groups with a total of 35 residents included. We identified 4 main themes. First, residents relied on clinical and nonclinical factors when making decisions about opioid prescribing. However, hidden curricula based on unique institutional cultures and attending preferences heavily influenced residents' prescribing practices. Second, residents acknowledged that stigma and biases towards certain patient groups influenced opioid prescribing practices. Third, residents encountered barriers within their health systems to evidence-based opioid prescribing. Fourth, residents did not routinely receive formal education on pain management or opioid prescribing. Residents recommended several interventions to improve the current state of opioid prescribing, including standardized prescribing guidelines, improved patient education, and formal training during the first year of residency. CONCLUSIONS Our study highlighted several areas of opioid prescribing that can be improved upon through educational interventions. These findings can be used to develop programs aimed at improving residents' opioid prescribing practices, both during and after training, and ultimately the safe care of surgical patients. ETHICS STATEMENT This project was approved by the University of Utah Institutional Review Board, ID # 00118491. All participants provided written informed consent.
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Affiliation(s)
- Josh Bleicher
- Department of Surgery, University of Utah, Salt Lake City, Utah.
| | | | - Brian T Cain
- Department of Surgery, University of Utah, Salt Lake City, Utah
| | - Robert D Shaw
- Department of Surgery, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire
| | - Alexandra A Acher
- Department of Surgery, University of Utah, Salt Lake City, Utah; Department of Surgery, University of Wisconsin, Madison, Wisconsin
| | - Lauren Gleason
- Department of Surgery, The University of Alabama at Birmingham, Birmingham, Alabama
| | - Richard J Barth
- Department of Surgery, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire
| | - Daniel I Chu
- Department of Surgery, The University of Alabama at Birmingham, Birmingham, Alabama
| | - Sarah Jung
- Department of Surgery, University of Wisconsin, Madison, Wisconsin
| | - David Melnick
- Department of Surgery, University of Wisconsin, Madison, Wisconsin
| | - Kimberly A Kaphingst
- Department of Communication, Unversity of Utah and Huntsman Cancer Institute, Salt Lake City, Utah
| | | | - Lyen C Huang
- Department of Surgery, University of Utah, Salt Lake City, Utah; Huntsman Cancer Institute at the University of Utah, Salt Lake City, Utah
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16
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Huang LC, Johnson JE, Bleicher J, Blumling AN, Savarise M, Wetter DW, Cohan JN, Harris AA, Kaphingst KA. Promoting Disposal of Left-Over Opioids After Surgery in Rural Communities: A Qualitative Description Study. Health Educ Behav 2023; 50:281-289. [PMID: 34963358 PMCID: PMC10473843 DOI: 10.1177/10901981211057540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND Patients rarely dispose of left-over opioids after surgery. Disposal serves as a primary prevention against misuse, overdose, and diversion. However, current interventions promoting disposal have mixed efficacy. Increasing disposal in rural communities could prevent or reduce the harms caused by prescription opioids. AIMS Identify barriers and facilitators to disposal in the rural communities of the United States Mountain West region. METHODS We conducted a qualitative description study with 30 participants from Arizona, Idaho, Montana, Nevada, Oregon, Utah, and Wyoming. We used a phronetic iterative approach combining inductive content and thematic analysis with deductive interpretation through the Precaution Adoption Process Model (PAPM). RESULTS We identified four broad themes: (a) awareness, engagement, and education; (b) low perceived risk associated with nondisposal; (c) deciding to keep left-over opioids for future use; and (d) converting decisions into action. Most participants were aware of the importance of disposal but perceived the risks of nondisposal as low. Participants kept opioids for future use due to uncertainty about their recovery and future treatments, breakdowns in the patient-provider relationship, chronic illness or pain, or potential future injury. The rural context, particularly convenience, cost, and environmental contamination, contributes to decisional burden. CONCLUSIONS We identified PAPM stage-specific barriers to disposal of left-over opioids. Future interventions should account for where patients are along the spectrum of deciding to dispose or not dispose as well as promoting harm-reduction strategies for those who choose not to dispose.
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Affiliation(s)
| | | | | | | | | | | | | | - Alex A.S. Harris
- Stanford University, CA, USA
- VA Palo Alto Healthcare System, CA, USA
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17
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Cook KE, Baty BJ, Dent KM, Kaphingst KA, Erby LH. Defining orienting language in the genetic counseling process. J Genet Couns 2023. [PMID: 36806333 PMCID: PMC10405641 DOI: 10.1002/jgc4.1675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 12/23/2022] [Accepted: 12/26/2022] [Indexed: 02/22/2023]
Abstract
We defined orienting language in genetic counseling sessions as 'language intended to direct focus to a particular aspect of the counseling process; a physical, emotional, or cognitive space; or an outcome'. This is a concept expanding on the idea of 'orientation' statements in the genetic counseling literature. We propose that orienting language is an important component of effective communication in the genetic counseling process. Our goals were to document the presence of orienting language in genetic counseling sessions with practicing genetic counselors and simulated clients, categorize types of orienting language, and evaluate the purpose of this language. A sample of Genetic Counseling Video Project videotape transcripts was evaluated through consensus coding for orienting language. Orienting language was found to be abundant in the dataset evaluated. Each excerpt was coded for orienting language Strategies and Purpose. The six categories of Strategy codes identified were Logical Consistency, Providing Context, Guidance, Structuring the Session, Anchoring, and Procedural. The six categories of Purpose codes were Counselee Understanding, Guidance, Engagement, Promoting Effective Counselor/Counselee Interactions, Counselee Adaptation, and Relationship Building. Results support our expanded definition of orienting language, which was similar in both cancer and prenatal specialties and across years of counselor experience. Orienting language acts as a series of signposts to help clients navigate the sometimes complex and unfamiliar territory of a genetic counseling session. The introduction of this term into the genetic counseling literature allows its use by genetic counselors to be further evaluated and potentially incorporated into genetic counselor training.
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Affiliation(s)
- Katherine E Cook
- Graduate Program in Genetic Counseling, University of Utah, Utah, Salt Lake City, USA.,St. Luke's Cancer Institute, Idaho, Boise, USA
| | - Bonnie J Baty
- Graduate Program in Genetic Counseling, University of Utah, Utah, Salt Lake City, USA
| | - Karin M Dent
- Graduate Program in Genetic Counseling, University of Utah, Utah, Salt Lake City, USA
| | - Kimberly A Kaphingst
- Department of Communication, University of Utah, Utah, Salt Lake City, USA.,Huntsman Cancer Institute, Utah, Salt Lake City, USA
| | - Lori H Erby
- Johns Hopkins Bloomberg School of Public Health, Maryland, Baltimore, USA.,Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Maryland, Bethesda, USA
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18
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Rothwell E, Riches NO, Johnson E, Kaphingst KA, Kehoe K, Jenkins SM, Palmquist R, Torr C, Frost CJ, Wong B, Bonkowsky JL. Evaluating visual imagery for participant understanding of research concepts in genomics research. J Community Genet 2023; 14:51-62. [PMID: 36534338 PMCID: PMC9947213 DOI: 10.1007/s12687-022-00628-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 12/07/2022] [Indexed: 12/23/2022] Open
Abstract
Informed consent is crucial for participant understanding, engagement, and partnering for research. However, current written informed consents have significant limitations, particularly for complex topics such as genomics and biobanking. Our goal was to identify how participants visually conceptualize terminology used in genomics and biobanking research studies, which might provide a novel approach for informed consent. An online convenience sample was used from May to July 2020 to collect data. Participants were asked to draw 10 randomly chosen words out of 32 possible words commonly used in consent forms for genomics and biobanking research. An electronic application captured drawings that were downloaded into a qualitative software program for analysis. A total of 739 drawings by 269 participants were captured. Participants were mostly female (61.3%), eight different race/ethnicities were represented (15.6% Black, 13.8% Hispanic), and most had some college education (68.8%). Some words had consistent visual themes such as different types of risky activities for risk or consistent specific images such as a double helix for DNA. Several words were frequently misunderstood (e.g., ascend for assent), while others returned few submissions (e.g., phenotype or whole genome sequencing). We found that although some words used in genomics and biobanking research were visually conceptualized in a common fashion, but misunderstood or less well-known words had no, few, or mistaken drawings. Future research can explore the incorporation of visual images to improve participant comprehension during consent processes, and how to utilize visual imagery to address more challenging concepts.
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Affiliation(s)
- Erin Rothwell
- Department of Obstetrics and Gynecology, School of Medicine, University of Utah, Salt Lake City, UT, USA.
| | - Naomi O Riches
- Department of Obstetrics and Gynecology, School of Medicine, University of Utah, Salt Lake City, UT, USA
| | - Erin Johnson
- Department of Obstetrics and Gynecology, School of Medicine, University of Utah, Salt Lake City, UT, USA
| | - Kimberly A Kaphingst
- Department of Communication and Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Kelsey Kehoe
- Department of Psychology, University of Massachusetts Boston, Boston, MA, USA
| | - Sabrina Malone Jenkins
- Division of Neonatology, Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Rachel Palmquist
- Division of Pediatric Neurology, Department of Pediatrics, University of Utah School of Medicine; Center for Personalized Medicine, Primary Children's Hospital, Intermountain Healthcare, Salt Lake City, UT, USA
| | - Carrie Torr
- Division of Pediatric Neurology, Department of Pediatrics, University of Utah School of Medicine; Center for Personalized Medicine, Primary Children's Hospital, Intermountain Healthcare, Salt Lake City, UT, USA
| | - Caren J Frost
- College of Social Work, University of Utah, Salt Lake City, UT, USA
| | - Bob Wong
- College of Nursing, University of Utah, Salt Lake City, UT, USA
| | - Joshua L Bonkowsky
- Division of Pediatric Neurology, Department of Pediatrics, University of Utah School of Medicine; Center for Personalized Medicine, Primary Children's Hospital, Intermountain Healthcare, Salt Lake City, UT, USA
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19
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Winskill C, Goodman MS, Daly BM, Elrick A, Mooney R, Espinel W, Kohlmann W, Kaphingst KA. Predictors of Women's Intentions to Communicate Updated Genetic Test Results to Immediate and Extended Family Members. Public Health Genomics 2023; 26:24-34. [PMID: 36642066 PMCID: PMC10015742 DOI: 10.1159/000528522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 11/28/2022] [Indexed: 01/17/2023] Open
Abstract
INTRODUCTION Many individuals who previously received negative genetic test results are eligible for updated testing. This study examined intention to communicate updated genetic test results to relatives in participants who previously received negative genetic test results. METHODS Women with a personal or family history of breast or ovarian cancer who tested negative for BRCA1/2 before 2013 were enrolled between April 2018 and October 2019. Proportions were calculated to assess intention to communicate updated genetic test results to living immediate family, extended family, and all family. Potential predictors of intentions from the theory of planned behavior (attitudes, subjective norms, perceived behavioral control) were assessed. The three outcomes were analyzed using generalized linear models with a quasi-binomial probability distribution. RESULTS 110 women completed the baseline assessment prior to updated testing. Participants intended to communicate genetic test results to 90% of immediate family, 51% of extended family, and 66% of all living relatives. Participants with higher subjective norms (aOR = 1.93, 95% CI: 1.08-3.57) had higher intentions to communicate genetic test results to extended family, while participants with more positive attitudes (aOR = 1.27, 95% CI: 1.01-1.60) had higher intentions to communicate to all family. Placing higher importance on genetic information was associated with higher intentions to communicate to immediate family (aOR = 1.40, 95% CI: 1.06-1.83). Lower subjective numeracy was associated with higher intentions to communicate to extended family (aOR = 0.50, 95% CI: 0.32-0.76). CONCLUSION Attitudes and subjective norms were predictors of intention to communicate updated genetic information to at-risk biological relatives, and predictors may vary by degree of relationship.
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Affiliation(s)
- Carolyn Winskill
- New York University School of Global Public Health, New York, New York, USA
| | - Melody S. Goodman
- New York University School of Global Public Health, New York, New York, USA
| | - Brianne M. Daly
- Huntsman Cancer Institute, University of UT, Salt Lake City, Utah, USA
| | - Ashley Elrick
- Department of Communications, Huntsman Cancer Institute, University of UT, Salt Lake City, Utah, USA
| | - Ryan Mooney
- Huntsman Cancer Institute, University of UT, Salt Lake City, Utah, USA
| | - Whitney Espinel
- Huntsman Cancer Institute, University of UT, Salt Lake City, Utah, USA
| | - Wendy Kohlmann
- Huntsman Cancer Institute, University of UT, Salt Lake City, Utah, USA
| | - Kimberly A. Kaphingst
- Department of Communications, Huntsman Cancer Institute, University of UT, Salt Lake City, Utah, USA
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20
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Johnson JE, Bleicher J, Blumling AN, Cain BT, Cohan JN, Savarise M, Harris AHS, Kaphingst KA, Huang LC. The Influence of Rural Healthcare Systems and Communities on Surgery and Recovery: A Qualitative Study. J Surg Res 2023; 281:155-163. [PMID: 36155272 PMCID: PMC10473841 DOI: 10.1016/j.jss.2022.08.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 07/27/2022] [Accepted: 08/19/2022] [Indexed: 01/31/2023]
Abstract
INTRODUCTION Successful recovery after surgery is complex and highly individual. Rural patients encounter greater barriers to successful surgical recovery than urban patients due to varying healthcare and community factors. Although studies have previously examined the recovery process, rural patients' experiences with recovery have not been well-studied. The rural socioecological context can provide insights into potential barriers or facilitators to rural patient recovery after surgery. METHODS We conducted semi-structured qualitative interviews with a purposeful sample of 30 adult general surgery patients from rural areas in the Mountain West region of the United States. We used the socioecological framework to analyze their responses. Interviews focused on rural participants' experiences accessing healthcare and the impact of family and community support during postoperative recovery. Interviews were transcribed verbatim and coded using content and thematic analysis. RESULTS All participants commented on the quality of their rural healthcare systems and its influence on postoperative care. Some enjoyed the trust developed through long-standing relationships with providers in their communities. However, participants described community providers' lack of money, equipment, and/or knowledge as barriers to care. Following surgery, participants recognized that there are advantages and disadvantages to receiving family and community support. Some participants worried about being stigmatized or judged by their community. CONCLUSIONS Future interventions aimed at improving access to and recovery from surgery for rural patients should take into account the unique perspectives of rural patients. Addressing the socioecological factors surrounding rural surgery patients, such as healthcare, family, and community resources, will be key to improving postoperative recovery.
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Affiliation(s)
- Jordan E Johnson
- Department of Surgery, University of Utah, Salt Lake City, Utah.
| | - Josh Bleicher
- Department of Surgery, University of Utah, Salt Lake City, Utah
| | | | - Brian T Cain
- Department of Surgery, University of Utah, Salt Lake City, Utah
| | - Jessica N Cohan
- Department of Surgery, University of Utah, Salt Lake City, Utah; Huntsman Cancer Institute, Salt Lake City, Utah
| | - Mark Savarise
- Department of Surgery, University of Utah, Salt Lake City, Utah
| | - Alex H S Harris
- VA HSR&D Center for Innovation to Implementation, Palo Alto VA Health Care System, Washington, District of Columbia
| | - Kimberly A Kaphingst
- Department of Communication, University of Utah, Salt Lake City, Utah; Huntsman Cancer Institute, Salt Lake City, Utah
| | - Lyen C Huang
- Department of Surgery, University of Utah, Salt Lake City, Utah; Huntsman Cancer Institute, Salt Lake City, Utah
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21
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Liebermann E, Taber P, Vega AS, Daly BM, Goodman MS, Bradshaw R, Chan PA, Chavez-Yenter D, Hess R, Kessler C, Kohlmann W, Low S, Monahan R, Kawamoto K, Del Fiol G, Buys SS, Sigireddi M, Ginsburg O, Kaphingst KA. Barriers to family history collection among Spanish-speaking primary care patients: a BRIDGE qualitative study. PEC Innov 2022; 1:100087. [PMID: 36532299 PMCID: PMC9757734 DOI: 10.1016/j.pecinn.2022.100087] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Objectives Family history is an important tool for assessing disease risk, and tailoring recommendations for screening and genetic services referral. This study explored barriers to family history collection with Spanish-speaking patients. Methods This qualitative study was conducted in two US healthcare systems. We conducted semi-structured interviews with medical assistants, physicians, and interpreters with experience collecting family history for Spanish-speaking patients. Results The most common patient-level barrier was the perception that some Spanish-speaking patients had limited knowledge of family history. Interpersonal communication barriers related to dialectical differences and decisions about using formal interpreters vs. Spanish-speaking staff. Organizational barriers included time pressures related to using interpreters, and ad hoc workflow adaptations for Spanish-speaking patients that might leave gaps in family history collection. Conclusions This study identified multi-level barriers to family history collection with Spanish-speaking patients in primary care. Findings suggest that a key priority to enhance communication would be to standardize processes for working with interpreters. Innovation To improve communication with and care provided to Spanish-speaking patients, there is a need to increase healthcare provider awareness about implicit bias, to address ad hoc workflow adjustments within practice settings, to evaluate the need for professional interpreter services, and to improve digital tools to facilitate family history collection.
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Affiliation(s)
- Erica Liebermann
- College of Nursing, University of Rhode Island, RINEC, 350 Eddy Street, Providence, RI 02903, USA,Corresponding author. (E. Liebermann)
| | - Peter Taber
- Department of Biomedical Informatics, University of Utah, 421 Wakara Way, Suite 140, Salt Lake City, UT 84108, USA
| | - Alexis S. Vega
- Department of Communication, University of Utah, 255 S. Central Campus Drive, Salt Lake City, UT 84112, USA
| | - Brianne M. Daly
- Huntsman Cancer Institute, 2000 Circle of Hope Drive, Salt Lake City, UT 84112, USA
| | - Melody S. Goodman
- School of Global Public Health, New York University, 726 Broadway, New York, NY 10012, USA
| | - Richard Bradshaw
- Department of Biomedical Informatics, University of Utah, 421 Wakara Way, Suite 140, Salt Lake City, UT 84108, USA
| | - Priscilla A. Chan
- Perlmutter Cancer Center, NYU Langone Health, 160 E. 34th Street, New York, NY 10016, USA
| | - Daniel Chavez-Yenter
- Department of Communication, University of Utah, 255 S. Central Campus Drive, Salt Lake City, UT 84112, USA,Huntsman Cancer Institute, 2000 Circle of Hope Drive, Salt Lake City, UT 84112, USA
| | - Rachel Hess
- Department of Population Health Sciences, University of Utah, 295 Chipeta Way, Salt Lake City, UT, 84108, USA
| | - Cecilia Kessler
- Huntsman Cancer Institute, 2000 Circle of Hope Drive, Salt Lake City, UT 84112, USA
| | - Wendy Kohlmann
- Huntsman Cancer Institute, 2000 Circle of Hope Drive, Salt Lake City, UT 84112, USA
| | - Sara Low
- Huntsman Cancer Institute, 2000 Circle of Hope Drive, Salt Lake City, UT 84112, USA
| | - Rachel Monahan
- Perlmutter Cancer Center, NYU Langone Health, 160 E. 34th Street, New York, NY 10016, USA
| | - Kensaku Kawamoto
- Department of Biomedical Informatics, University of Utah, 421 Wakara Way, Suite 140, Salt Lake City, UT 84108, USA
| | - Guilherme Del Fiol
- Department of Biomedical Informatics, University of Utah, 421 Wakara Way, Suite 140, Salt Lake City, UT 84108, USA
| | - Saundra S. Buys
- Huntsman Cancer Institute, 2000 Circle of Hope Drive, Salt Lake City, UT 84112, USA,Department of Internal Medicine, University of Utah, 30 N 1900 E, Salt Lake City, UT 84132, USA
| | - Meenakshi Sigireddi
- Perlmutter Cancer Center, NYU Langone Health, 160 E. 34th Street, New York, NY 10016, USA
| | - Ophira Ginsburg
- Center for Global Health, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20892-9760, USA
| | - Kimberly A. Kaphingst
- Department of Communication, University of Utah, 255 S. Central Campus Drive, Salt Lake City, UT 84112, USA,Huntsman Cancer Institute, 2000 Circle of Hope Drive, Salt Lake City, UT 84112, USA
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22
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Brady HL, Hamilton JG, Kaphingst KA, Jensen JD, Kohlmann W, Parsons BG, Lillie HM, Wankier AP, Smith HJ, Grossman D, Hay JL, Wu YP. 'I had a bigger cancer risk than I thought…': The experience of receiving personalized risk information as part of a skin cancer prevention intervention in the college setting. Health Expect 2022; 25:2937-2949. [PMID: 36225123 PMCID: PMC9700178 DOI: 10.1111/hex.13601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 07/25/2022] [Accepted: 08/25/2022] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Diagnoses of both melanoma and nonmelanoma skin cancers are becoming increasingly common among young adults. Interventions in this population are a priority because they do not consistently follow skin cancer prevention recommendations. OBJECTIVES The goal of the current study was to examine college students' perspectives on and experience with receiving a skin cancer prevention intervention that provided personalized skin cancer risk feedback in the form of an ultraviolet (UV) photograph, the results of genetic testing for common skin cancer risk variants, and/or general skin cancer prevention education. METHODS Qualitative interviews were conducted with 38 college students who received a skin cancer prevention intervention. The interview covered students' feelings about their personal skin cancer risk information, the impact of the intervention on their skin cancer risk perceptions, actions or intentions to act with regard to their sun protection practices and feedback for improvement of the intervention content or delivery. RESULTS Participants reported that different intervention components contributed to increased awareness of their sun protection behaviours, shifts in cognitions about and motivation to implement sun protection strategies and reported changes to their skin cancer prevention strategies. CONCLUSION Our findings indicate that college students are interested in and responsive to these types of multicomponent skin cancer preventive interventions. Further, students demonstrate some motivation and intentionality toward changing their skin cancer risk behaviour in the short term. PATIENT OR PUBLIC CONTRIBUTION Participants involved in this study were members of the public (undergraduate students) who were involved in a skin cancer prevention intervention, then participated in semistructured interviews, which provided the data analysed for this study.
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Affiliation(s)
- Hannah L. Brady
- Cancer Control and Population Sciences Division, Huntsman Cancer InstituteUniversity of UtahSalt Lake CityUtahUSA
| | - Jada G. Hamilton
- Department of Psychiatry & Behavioral SciencesMemorial Sloan Kettering Cancer CenterNew YorkNew YorkUSA,Department of MedicineMemorial Sloan Kettering Cancer CenterNew YorkNew YorkUSA
| | - Kimberly A. Kaphingst
- Cancer Control and Population Sciences Division, Huntsman Cancer InstituteUniversity of UtahSalt Lake CityUtahUSA,Department of CommunicationUniversity of UtahSalt Lake CityUtahUSA
| | - Jakob D. Jensen
- Department of CommunicationUniversity of UtahSalt Lake CityUtahUSA,Department of DermatologyUniversity of Utah Health Sciences CenterSalt Lake CityUtahUSA
| | - Wendy Kohlmann
- Cancer Control and Population Sciences Division, Huntsman Cancer InstituteUniversity of UtahSalt Lake CityUtahUSA
| | - Bridget G. Parsons
- Cancer Control and Population Sciences Division, Huntsman Cancer InstituteUniversity of UtahSalt Lake CityUtahUSA
| | - Helen M. Lillie
- Department of CommunicationUniversity of UtahSalt Lake CityUtahUSA
| | - Ali P. Wankier
- Cancer Control and Population Sciences Division, Huntsman Cancer InstituteUniversity of UtahSalt Lake CityUtahUSA
| | - Heather J. Smith
- Cancer Control and Population Sciences Division, Huntsman Cancer InstituteUniversity of UtahSalt Lake CityUtahUSA
| | - Douglas Grossman
- Cancer Control and Population Sciences Division, Huntsman Cancer InstituteUniversity of UtahSalt Lake CityUtahUSA,Department of DermatologyUniversity of Utah Health Sciences CenterSalt Lake CityUtahUSA
| | - Jennifer L. Hay
- Department of Psychiatry & Behavioral SciencesMemorial Sloan Kettering Cancer CenterNew YorkNew YorkUSA
| | - Yelena P. Wu
- Cancer Control and Population Sciences Division, Huntsman Cancer InstituteUniversity of UtahSalt Lake CityUtahUSA,Department of DermatologyUniversity of Utah Health Sciences CenterSalt Lake CityUtahUSA
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23
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Chavez-Yenter D, Goodman MS, Chen Y, Chu X, Bradshaw RL, Lorenz Chambers R, Chan PA, Daly BM, Flynn M, Gammon A, Hess R, Kessler C, Kohlmann WK, Mann DM, Monahan R, Peel S, Kawamoto K, Del Fiol G, Sigireddi M, Buys SS, Ginsburg O, Kaphingst KA. Association of Disparities in Family History and Family Cancer History in the Electronic Health Record With Sex, Race, Hispanic or Latino Ethnicity, and Language Preference in 2 Large US Health Care Systems. JAMA Netw Open 2022; 5:e2234574. [PMID: 36194411 PMCID: PMC9533178 DOI: 10.1001/jamanetworkopen.2022.34574] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
IMPORTANCE Clinical decision support (CDS) algorithms are increasingly being implemented in health care systems to identify patients for specialty care. However, systematic differences in missingness of electronic health record (EHR) data may lead to disparities in identification by CDS algorithms. OBJECTIVE To examine the availability and comprehensiveness of cancer family history information (FHI) in patients' EHRs by sex, race, Hispanic or Latino ethnicity, and language preference in 2 large health care systems in 2021. DESIGN, SETTING, AND PARTICIPANTS This retrospective EHR quality improvement study used EHR data from 2 health care systems: University of Utah Health (UHealth) and NYU Langone Health (NYULH). Participants included patients aged 25 to 60 years who had a primary care appointment in the previous 3 years. Data were collected or abstracted from the EHR from December 10, 2020, to October 31, 2021, and analyzed from June 15 to October 31, 2021. EXPOSURES Prior collection of cancer FHI in primary care settings. MAIN OUTCOMES AND MEASURES Availability was defined as having any FHI and any cancer FHI in the EHR and was examined at the patient level. Comprehensiveness was defined as whether a cancer family history observation in the EHR specified the type of cancer diagnosed in a family member, the relationship of the family member to the patient, and the age at onset for the family member and was examined at the observation level. RESULTS Among 144 484 patients in the UHealth system, 53.6% were women; 74.4% were non-Hispanic or non-Latino and 67.6% were White; and 83.0% had an English language preference. Among 377 621 patients in the NYULH system, 55.3% were women; 63.2% were non-Hispanic or non-Latino, and 55.3% were White; and 89.9% had an English language preference. Patients from historically medically undeserved groups-specifically, Black vs White patients (UHealth: 17.3% [95% CI, 16.1%-18.6%] vs 42.8% [95% CI, 42.5%-43.1%]; NYULH: 24.4% [95% CI, 24.0%-24.8%] vs 33.8% [95% CI, 33.6%-34.0%]), Hispanic or Latino vs non-Hispanic or non-Latino patients (UHealth: 27.2% [95% CI, 26.5%-27.8%] vs 40.2% [95% CI, 39.9%-40.5%]; NYULH: 24.4% [95% CI, 24.1%-24.7%] vs 31.6% [95% CI, 31.4%-31.8%]), Spanish-speaking vs English-speaking patients (UHealth: 18.4% [95% CI, 17.2%-19.1%] vs 40.0% [95% CI, 39.7%-40.3%]; NYULH: 15.1% [95% CI, 14.6%-15.6%] vs 31.1% [95% CI, 30.9%-31.2%), and men vs women (UHealth: 30.8% [95% CI, 30.4%-31.2%] vs 43.0% [95% CI, 42.6%-43.3%]; NYULH: 23.1% [95% CI, 22.9%-23.3%] vs 34.9% [95% CI, 34.7%-35.1%])-had significantly lower availability and comprehensiveness of cancer FHI (P < .001). CONCLUSIONS AND RELEVANCE These findings suggest that systematic differences in the availability and comprehensiveness of FHI in the EHR may introduce informative presence bias as inputs to CDS algorithms. The observed differences may also exacerbate disparities for medically underserved groups. System-, clinician-, and patient-level efforts are needed to improve the collection of FHI.
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Affiliation(s)
- Daniel Chavez-Yenter
- Huntsman Cancer Institute, University of Utah, Salt Lake City
- Department of Communication, University of Utah, Salt Lake City
| | - Melody S. Goodman
- School of Global Public Health, New York University, New York, New York
| | - Yuyu Chen
- School of Global Public Health, New York University, New York, New York
| | - Xiangying Chu
- School of Global Public Health, New York University, New York, New York
| | - Richard L. Bradshaw
- Department of Biomedical Informatics, University of Utah, Salt Lake City
- School of Medicine, University of Utah Health, Salt Lake City, Utah
| | | | | | - Brianne M. Daly
- Huntsman Cancer Institute, University of Utah, Salt Lake City
| | - Michael Flynn
- School of Medicine, University of Utah Health, Salt Lake City, Utah
| | - Amanda Gammon
- Huntsman Cancer Institute, University of Utah, Salt Lake City
| | - Rachel Hess
- Department of Population Health Sciences, University of Utah, Salt Lake City
- Department of Internal Medicine, University of Utah, Salt Lake City
| | - Cecelia Kessler
- Huntsman Cancer Institute, University of Utah, Salt Lake City
| | | | - Devin M. Mann
- Department of Population Health, New York University Grossman School of Medicine, New York University, New York, New York
| | - Rachel Monahan
- Perlmutter Cancer Center, NYU Langone Health, New York, New York
- Department of Population Health, New York University Grossman School of Medicine, New York University, New York, New York
| | - Sara Peel
- Huntsman Cancer Institute, University of Utah, Salt Lake City
| | - Kensaku Kawamoto
- Department of Biomedical Informatics, University of Utah, Salt Lake City
| | - Guilherme Del Fiol
- Department of Biomedical Informatics, University of Utah, Salt Lake City
| | | | - Saundra S. Buys
- Huntsman Cancer Institute, University of Utah, Salt Lake City
- Department of Internal Medicine, University of Utah, Salt Lake City
| | - Ophira Ginsburg
- Center for Global Health, National Cancer Institute, Rockville, Maryland
| | - Kimberly A. Kaphingst
- Huntsman Cancer Institute, University of Utah, Salt Lake City
- Department of Communication, University of Utah, Salt Lake City
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24
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Resnicow K, Delacroix E, Chen G, Austin S, Stoffel E, Hanson EN, Gerido LH, Kaphingst KA, Yashar BM, Marvin M, Griggs JJ, Cragun D. Motivational interviewing for genetic counseling: A unified framework for persuasive and equipoise conversations. J Genet Couns 2022; 31:1020-1031. [PMID: 35906848 PMCID: PMC9796431 DOI: 10.1002/jgc4.1609] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 05/31/2022] [Accepted: 06/12/2022] [Indexed: 01/01/2023]
Abstract
Genetic counselors (GCs) have traditionally been trained to adopt a position of equipoise or clinical neutrality. They provide information, answer questions, address barriers, and engage in shared decision-making, but generally, they do not prescribe a genetic test. Historically, GCs have generally been trained not to persuade the ambivalent or resistant patient. More recently, however, there has been discussion regarding when a greater degree of persuasion or directionality may be appropriate within genetic counseling (GC) and what role MI may play in this process. The role for "persuasive GC" is based on the premise that some genetic tests provide actionable information that would clearly benefit patients and families by impacting treatment or surveillance. For other tests, the benefits are less clear as they do not directly impact patient care or the benefits may be more subjective in nature, driven by patient values or psychological needs. For the former, we propose that GCs may adopt a more persuasive clinical approach while for the latter, a more traditional equipoise stance may be more appropriate. We suggest that motivational interviewing (MI) could serve as a unifying counseling model that allows GCs to handle both persuasive and equipoise encounters. For clearly beneficial tests, while directional, the MI encounter can still be non-directive, autonomy-supportive, and patient-centered. MI can also be adapted for equipoise situations, for example, placing less emphasis on eliciting and strengthening change talk as that is more a behavior change strategy than a shared decision-making strategy. The core principles and strategies of MI, such as autonomy support, evocation, open questions, reflective listening, and affirmation would apply to both persuasive and equipoise encounters. Key issues that merit discussion include how best to train GCs both during their initial and post-graduate education.
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Affiliation(s)
- Ken Resnicow
- University of Michigan School of Public HealthAnn ArborMichiganUSA
- Rogel Cancer CenterUniversity of MichiganAnn ArborMichiganUSA
| | - Emerson Delacroix
- University of Michigan School of Public HealthAnn ArborMichiganUSA
- Department of Internal MedicineUniversity of Michigan School of MedicineAnn ArborMichiganUSA
| | - Gabriela Chen
- University of Michigan School of Public HealthAnn ArborMichiganUSA
- Genetic Counseling Graduate Training Program, Department of Human GeneticsUniversity of MichiganAnn ArborMichiganUSA
| | - Sarah Austin
- Rogel Cancer CenterUniversity of MichiganAnn ArborMichiganUSA
| | - Elena Stoffel
- Rogel Cancer CenterUniversity of MichiganAnn ArborMichiganUSA
- Department of Internal MedicineUniversity of Michigan School of MedicineAnn ArborMichiganUSA
| | - Erika N. Hanson
- Department of Internal MedicineUniversity of Michigan School of MedicineAnn ArborMichiganUSA
| | | | - Kimberly A. Kaphingst
- Department of CommunicationUniversity of UtahSalt Lake CityUtahUSA
- Huntsman Cancer InstituteUniversity of UtahSalt Lake CityUtahUSA
| | - Beverly M. Yashar
- Department of Internal MedicineUniversity of Michigan School of MedicineAnn ArborMichiganUSA
- Genetic Counseling Graduate Training Program, Department of Human GeneticsUniversity of MichiganAnn ArborMichiganUSA
| | - Monica Marvin
- Rogel Cancer CenterUniversity of MichiganAnn ArborMichiganUSA
- Department of Internal MedicineUniversity of Michigan School of MedicineAnn ArborMichiganUSA
- Genetic Counseling Graduate Training Program, Department of Human GeneticsUniversity of MichiganAnn ArborMichiganUSA
| | - Jennifer J. Griggs
- University of Michigan School of Public HealthAnn ArborMichiganUSA
- Rogel Cancer CenterUniversity of MichiganAnn ArborMichiganUSA
- Department of Internal MedicineUniversity of Michigan School of MedicineAnn ArborMichiganUSA
| | - Deborah Cragun
- University of South Florida, College of Public HealthTampaFloridaUSA
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25
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Shi J, Morgan KL, Bradshaw RL, Jung SH, Kohlmann W, Kaphingst KA, Kawamoto K, Fiol GD. Correction: Identifying Patients Who Meet Criteria for Genetic Testing of Hereditary Cancers Based on Structured and Unstructured Family Health History Data in the Electronic Health Record: Natural Language Processing Approach. JMIR Med Inform 2022; 10:e42533. [PMID: 36099593 PMCID: PMC9516360 DOI: 10.2196/42533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 09/07/2022] [Indexed: 11/16/2022] Open
Affiliation(s)
- Jianlin Shi
- Veterans Affairs Informatics and Computing Infrastructure, Department of Veterans Affairs Salt Lake City Health Care System, Salt Lake City, UT, United States.,Division of Epidemiology, Department of Internal Medicine, School of Medicine, University of Utah, Salt Lake City, UT, United States.,Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States
| | - Keaton L Morgan
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States.,Department of Emergency Medicine, University of Utah, Salt Lake City, UT, United States
| | - Richard L Bradshaw
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States
| | - Se-Hee Jung
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States.,College of Nursing, University of Utah, Salt Lake City, UT, United States
| | - Wendy Kohlmann
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, United States.,Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States
| | - Kimberly A Kaphingst
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States.,Department of Communication, University of Utah, Salt Lake City, UT, United States
| | - Kensaku Kawamoto
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States
| | - Guilherme Del Fiol
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States
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26
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Shi J, Morgan KL, Bradshaw RL, Jung SH, Kohlmann W, Kaphingst KA, Kawamoto K, Fiol GD. Identifying Patients Who Meet Criteria for Genetic Testing of Hereditary Cancers Based on Structured and Unstructured Family Health History Data in the Electronic Health Record: Natural Language Processing Approach. JMIR Med Inform 2022; 10:e37842. [PMID: 35969459 PMCID: PMC9412758 DOI: 10.2196/37842] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 06/29/2022] [Accepted: 07/06/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Family health history has been recognized as an essential factor for cancer risk assessment and is an integral part of many cancer screening guidelines, including genetic testing for personalized clinical management strategies. However, manually identifying eligible candidates for genetic testing is labor intensive. OBJECTIVE The aim of this study was to develop a natural language processing (NLP) pipeline and assess its contribution to identifying patients who meet genetic testing criteria for hereditary cancers based on family health history data in the electronic health record (EHR). We compared an algorithm that uses structured data alone with structured data augmented using NLP. METHODS Algorithms were developed based on the National Comprehensive Cancer Network (NCCN) guidelines for genetic testing for hereditary breast, ovarian, pancreatic, and colorectal cancers. The NLP-augmented algorithm uses both structured family health history data and the associated unstructured free-text comments. The algorithms were compared with a reference standard of 100 patients with a family health history in the EHR. RESULTS Regarding identifying the reference standard patients meeting the NCCN criteria, the NLP-augmented algorithm compared with the structured data algorithm yielded a significantly higher recall of 0.95 (95% CI 0.9-0.99) versus 0.29 (95% CI 0.19-0.40) and a precision of 0.99 (95% CI 0.96-1.00) versus 0.81 (95% CI 0.65-0.95). On the whole data set, the NLP-augmented algorithm extracted 33.6% more entities, resulting in 53.8% more patients meeting the NCCN criteria. CONCLUSIONS Compared with the structured data algorithm, the NLP-augmented algorithm based on both structured and unstructured family health history data in the EHR increased the number of patients identified as meeting the NCCN criteria for genetic testing for hereditary breast or ovarian and colorectal cancers.
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Affiliation(s)
- Jianlin Shi
- Veterans Affairs Informatics and Computing Infrastructure, Department of Veterans Affairs Salt Lake City Health Care System, Salt Lake City, UT, United States
- Division of Epidemiology, Department of Internal Medicine, School of Medicine, University of Utah, Salt Lake City, UT, United States
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States
| | - Keaton L Morgan
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States
- Department of Emergency Medicine, University of Utah, Salt Lake City, UT, United States
| | - Richard L Bradshaw
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States
| | - Se-Hee Jung
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States
- College of Nursing, University of Utah, Salt Lake City, UT, United States
| | - Wendy Kohlmann
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, United States
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States
| | - Kimberly A Kaphingst
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States
- Department of Communication, University of Utah, Salt Lake City, UT, United States
| | - Kensaku Kawamoto
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States
| | - Guilherme Del Fiol
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States
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27
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Kaphingst KA, Bather JR, Daly BM, Chavez-Yenter D, Vega A, Kohlmann WK. Interest in Cancer Predisposition Testing and Carrier Screening Offered as Part of Routine Healthcare Among an Ethnically Diverse Sample of Young Women. Front Genet 2022; 13:866062. [PMID: 35495140 PMCID: PMC9047995 DOI: 10.3389/fgene.2022.866062] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Accepted: 03/17/2022] [Indexed: 12/21/2022] Open
Abstract
Sequencing technologies can inform individuals’ risks for multiple conditions, supporting population-level screening approaches. Prior research examining interest in genetic testing has not generally examined the context of population-based approaches offered in routine healthcare or among ethnically diverse populations. Cancer predisposition testing and carrier screening could be offered broadly to women of reproductive age. This study therefore examined interest in these tests when offered as part of routine care, and predictors of interest, among an ethnically diverse sample of women aged 20–35. We conducted an online English-language survey of 450 women; 39% identified as Latina. We examined predictors of interest for two outcomes, interest in testing in the next year and level of interest, in multivariable logistic regression models and stratified analyses by Latina ethnicity. More than half of respondents reported being interested in cancer predisposition testing (55%) and carrier screening (56%) in the next year; this did not differ by ethnicity. About 26% reported being very interested in cancer predisposition testing and 27% in carrier screening. Latina respondents (32%) were more likely to be very interested in cancer predisposition testing than non-Latina respondents (22%; p < 0.03). In multivariable models, having higher worry about genetic risks, higher genetic knowledge, and higher perceived importance of genetic information were associated with higher interest across multiple models. Predictors of interest were generally similar by ethnicity. Our findings show substantial interest in both cancer predisposition testing and carrier screening among young women as part of routine healthcare with similar interest between Latina and non-Latina women. Efforts to broadly offer such testing could be important in improving access to genetic information. It will be critical to develop tools to help healthcare providers communicate about genetic testing and to address the needs of those who have less prior knowledge about genetics to support informed decision making.
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Affiliation(s)
- Kimberly A. Kaphingst
- Department of Communication, University of Utah, Salt Lake City, UT, United States
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States
- *Correspondence: Kimberly A. Kaphingst,
| | - Jemar R. Bather
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Brianne M. Daly
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States
| | - Daniel Chavez-Yenter
- Department of Communication, University of Utah, Salt Lake City, UT, United States
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States
| | - Alexis Vega
- Department of Communication, University of Utah, Salt Lake City, UT, United States
| | - Wendy K. Kohlmann
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States
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28
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Bradshaw RL, Kawamoto K, Kaphingst KA, Kohlmann WK, Hess R, Flynn MC, Nanjo CJ, Warner PB, Shi J, Morgan K, Kimball K, Ranade-Kharkar P, Ginsburg O, Goodman M, Chambers R, Mann D, Narus SP, Gonzalez J, Loomis S, Chan P, Monahan R, Borsato EP, Shields DE, Martin DK, Kessler CM, Del Fiol G. OUP accepted manuscript. J Am Med Inform Assoc 2022; 29:928-936. [PMID: 35224632 PMCID: PMC9006693 DOI: 10.1093/jamia/ocac028] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 02/03/2022] [Accepted: 02/18/2022] [Indexed: 11/17/2022] Open
Abstract
Population health management (PHM) is an important approach to promote wellness and deliver health care to targeted individuals who meet criteria for preventive measures or treatment. A critical component for any PHM program is a data analytics platform that can target those eligible individuals. Objective The aim of this study was to design and implement a scalable standards-based clinical decision support (CDS) approach to identify patient cohorts for PHM and maximize opportunities for multi-site dissemination. Materials and Methods An architecture was established to support bidirectional data exchanges between heterogeneous electronic health record (EHR) data sources, PHM systems, and CDS components. HL7 Fast Healthcare Interoperability Resources and CDS Hooks were used to facilitate interoperability and dissemination. The approach was validated by deploying the platform at multiple sites to identify patients who meet the criteria for genetic evaluation of familial cancer. Results The Genetic Cancer Risk Detector (GARDE) platform was created and is comprised of four components: (1) an open-source CDS Hooks server for computing patient eligibility for PHM cohorts, (2) an open-source Population Coordinator that processes GARDE requests and communicates results to a PHM system, (3) an EHR Patient Data Repository, and (4) EHR PHM Tools to manage patients and perform outreach functions. Site-specific deployments were performed on onsite virtual machines and cloud-based Amazon Web Services. Discussion GARDE’s component architecture establishes generalizable standards-based methods for computing PHM cohorts. Replicating deployments using one of the established deployment methods requires minimal local customization. Most of the deployment effort was related to obtaining site-specific information technology governance approvals.
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Affiliation(s)
- Richard L Bradshaw
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
- University of Utah Health, Salt Lake City, Utah, USA
- Corresponding Author: Richard L. Bradshaw, MS, PhD, Department of Biomedical Informatics, University of Utah, 421 Wakara Way, Suite 140, Salt Lake City, UT 84108-3514, USA;
| | - Kensaku Kawamoto
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
- University of Utah Health, Salt Lake City, Utah, USA
| | - Kimberly A Kaphingst
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
- Department of Communication, University of Utah, Salt Lake City, Utah, USA
| | - Wendy K Kohlmann
- University of Utah Health, Salt Lake City, Utah, USA
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
- Departments of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA
| | - Rachel Hess
- University of Utah Health, Salt Lake City, Utah, USA
- Departments of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA
- Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Michael C Flynn
- University of Utah Health, Salt Lake City, Utah, USA
- Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA
- Community Physicians Group, University of Utah, Salt Lake City, Utah, USA
| | - Claude J Nanjo
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
- University of Utah Health, Salt Lake City, Utah, USA
| | - Phillip B Warner
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
- University of Utah Health, Salt Lake City, Utah, USA
| | - Jianlin Shi
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Keaton Morgan
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
- University of Utah Health, Salt Lake City, Utah, USA
- Department of Surgery, University of Utah, Salt Lake City, Utah, USA
| | - Kadyn Kimball
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Pallavi Ranade-Kharkar
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
- Intermountain Healthcare, Salt Lake City, Utah, USA
| | - Ophira Ginsburg
- New York University Langone Health, New York City, New York, USA
| | - Melody Goodman
- School of Global and Public Health, New York University, New York City, New York, USA
| | | | - Devin Mann
- New York University Langone Health, New York City, New York, USA
| | - Scott P Narus
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Javier Gonzalez
- New York University Langone Health, New York City, New York, USA
| | - Shane Loomis
- New York University Langone Health, New York City, New York, USA
- Epic Systems Corporation, Madison, Wisconsin, USA
| | - Priscilla Chan
- New York University Langone Health, New York City, New York, USA
| | - Rachel Monahan
- New York University Langone Health, New York City, New York, USA
| | - Emerson P Borsato
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - David E Shields
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
- University of Utah Health, Salt Lake City, Utah, USA
| | - Douglas K Martin
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
- University of Utah Health, Salt Lake City, Utah, USA
| | - Cecilia M Kessler
- University of Utah Health, Salt Lake City, Utah, USA
- Department of Communication, University of Utah, Salt Lake City, Utah, USA
| | - Guilherme Del Fiol
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
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29
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Khan E, Kaphingst KA, Meyer White K, Sussman A, Guest D, Schofield E, Dailey YT, Robers E, Schwartz MR, Li Y, Buller D, Hunley K, Berwick M, Hay JL. Comprehension of skin cancer genetic risk feedback in primary care patients. J Community Genet 2021; 13:113-119. [PMID: 34797550 DOI: 10.1007/s12687-021-00566-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 11/09/2021] [Indexed: 10/19/2022] Open
Abstract
Few studies have examined comprehension and miscomprehension of genetic risk feedback for moderate-risk genes in the general population. We examined the prevalence and nature of accurate and inaccurate genetic risk feedback comprehension among those who received genetic testing for melanocortin-1-receptor (MC1R) gene variants that confer moderate melanoma risk. Participants (N = 145 Albuquerque, NM) were tested as part of a randomized controlled trial. Two weeks after receiving MC1R genetic risk feedback, participants answered open-ended questions regarding their reactions to the MC1R feedback report. Participants' comprehension of their feedback (average-risk or higher-risk for melanoma) was evaluated through qualitative analysis of open-ended responses. Most participants demonstrated comprehension of their feedback results (i.e., 63% of average-risk participants [ARPs]; 51% of higher-risk participants [HRPs]). Miscomprehension was evident in fewer participants (i.e., 16% of ARPs, 11% of HRPs). A few ARPs misunderstood the purpose of testing, whereas a few HRPs reported confusion about the meaning of their risk feedback. Some participants' responses to the open-ended questions were too ambiguous to ascertain comprehension or miscomprehension (i.e., 21% of ARPs, 38% of HRPs). Taken together, these findings suggest that genetic testing feedback for MC1R risk variants is largely comprehensible to general population participants. This study adds to the work examining comprehension and usage of common, moderate risk genetic information in public health contexts. However, to maximize the utility of genetic risk information in the general population, further research is needed to investigate and address areas where common genetic risk feedback misunderstandings occur.
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Affiliation(s)
- Erva Khan
- Department of Psychiatry and Behavioral Sciences, Mount Sinai Beth Israel, 281 1st Avenue, New York, NY, 10003, USA.
| | - Kimberly A Kaphingst
- Huntsman Cancer Institute and Department of Communication, University of Utah, Salt Lake City, UT, USA
| | - Kirsten Meyer White
- Department of Internal Medicine, University of New Mexico, Albuquerque, NM, USA
| | - Andrew Sussman
- Department of Internal Medicine, University of New Mexico, Albuquerque, NM, USA
| | - Dolores Guest
- Department of Internal Medicine, University of New Mexico, Albuquerque, NM, USA
| | - Elizabeth Schofield
- Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yvonne T Dailey
- Department of Internal Medicine, University of New Mexico, Albuquerque, NM, USA
| | - Erika Robers
- Department of Internal Medicine, University of New Mexico, Albuquerque, NM, USA
| | - Matthew R Schwartz
- Department of Internal Medicine, University of New Mexico, Albuquerque, NM, USA
| | - Yuelin Li
- Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Keith Hunley
- Department of Internal Medicine, University of New Mexico, Albuquerque, NM, USA
| | - Marianne Berwick
- Department of Internal Medicine, University of New Mexico, Albuquerque, NM, USA
| | - Jennifer L Hay
- Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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30
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Chavez-Yenter D, Kimball KE, Kohlmann W, Lorenz Chambers R, Bradshaw RL, Espinel WF, Flynn M, Gammon A, Goldberg E, Hagerty KJ, Hess R, Kessler C, Monahan R, Temares D, Tobik K, Mann DM, Kawamoto K, Del Fiol G, Buys SS, Ginsburg O, Kaphingst KA. Patient Interactions With an Automated Conversational Agent Delivering Pretest Genetics Education: Descriptive Study. J Med Internet Res 2021; 23:e29447. [PMID: 34792472 PMCID: PMC8663668 DOI: 10.2196/29447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 08/22/2021] [Accepted: 09/12/2021] [Indexed: 11/13/2022] Open
Abstract
Background Cancer genetic testing to assess an individual’s cancer risk and to enable genomics-informed cancer treatment has grown exponentially in the past decade. Because of this continued growth and a shortage of health care workers, there is a need for automated strategies that provide high-quality genetics services to patients to reduce the clinical demand for genetics providers. Conversational agents have shown promise in managing mental health, pain, and other chronic conditions and are increasingly being used in cancer genetic services. However, research on how patients interact with these agents to satisfy their information needs is limited. Objective Our primary aim is to assess user interactions with a conversational agent for pretest genetics education. Methods We conducted a feasibility study of user interactions with a conversational agent who delivers pretest genetics education to primary care patients without cancer who are eligible for cancer genetic evaluation. The conversational agent provided scripted content similar to that delivered in a pretest genetic counseling visit for cancer genetic testing. Outside of a core set of information delivered to all patients, users were able to navigate within the chat to request additional content in their areas of interest. An artificial intelligence–based preprogrammed library was also established to allow users to ask open-ended questions to the conversational agent. Transcripts of the interactions were recorded. Here, we describe the information selected, time spent to complete the chat, and use of the open-ended question feature. Descriptive statistics were used for quantitative measures, and thematic analyses were used for qualitative responses. Results We invited 103 patients to participate, of which 88.3% (91/103) were offered access to the conversational agent, 39% (36/91) started the chat, and 32% (30/91) completed the chat. Most users who completed the chat indicated that they wanted to continue with genetic testing (21/30, 70%), few were unsure (9/30, 30%), and no patient declined to move forward with testing. Those who decided to test spent an average of 10 (SD 2.57) minutes on the chat, selected an average of 1.87 (SD 1.2) additional pieces of information, and generally did not ask open-ended questions. Those who were unsure spent 4 more minutes on average (mean 14.1, SD 7.41; P=.03) on the chat, selected an average of 3.67 (SD 2.9) additional pieces of information, and asked at least one open-ended question. Conclusions The pretest chat provided enough information for most patients to decide on cancer genetic testing, as indicated by the small number of open-ended questions. A subset of participants were still unsure about receiving genetic testing and may require additional education or interpersonal support before making a testing decision. Conversational agents have the potential to become a scalable alternative for pretest genetics education, reducing the clinical demand on genetics providers.
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Affiliation(s)
- Daniel Chavez-Yenter
- Department of Communication, University of Utah, Salt Lake City, UT, United States.,Cancer Control and Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT, United States
| | - Kadyn E Kimball
- Cancer Control and Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT, United States
| | - Wendy Kohlmann
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States
| | | | - Richard L Bradshaw
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States
| | - Whitney F Espinel
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States
| | - Michael Flynn
- University of Utah Health, Salt Lake City, UT, United States
| | - Amanda Gammon
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States
| | - Eric Goldberg
- Department of Medicine, New York University Grossman School of Medicine, New York University, New York, NY, United States
| | - Kelsi J Hagerty
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States
| | - Rachel Hess
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, United States
| | - Cecilia Kessler
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States
| | - Rachel Monahan
- Perlmutter Cancer Center, New York University Langone Health, New York, NY, United States.,Department of Population Health, New York University Grossman School of Medicine, New York University, New York, NY, United States
| | - Danielle Temares
- Perlmutter Cancer Center, New York University Langone Health, New York, NY, United States
| | - Katie Tobik
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States
| | - Devin M Mann
- Department of Population Health, New York University Grossman School of Medicine, New York University, New York, NY, United States
| | - Kensaku Kawamoto
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States
| | - Guilherme Del Fiol
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States
| | - Saundra S Buys
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States.,Department of Internal Medicine, University of Utah, Salt Lake City, UT, United States
| | - Ophira Ginsburg
- Perlmutter Cancer Center, New York University Langone Health, New York, NY, United States.,Department of Population Health, New York University Grossman School of Medicine, New York University, New York, NY, United States
| | - Kimberly A Kaphingst
- Department of Communication, University of Utah, Salt Lake City, UT, United States.,Cancer Control and Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT, United States
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31
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Bleicher J, Esplin J, Blumling AN, Cohan JN, Savarise Md M, Wetter DW, Harris AHS, Kaphingst KA, Huang LC. Expectation-setting and patient education about pain control in the perioperative setting: A qualitative study. J Opioid Manag 2021; 17:455-464. [PMID: 34904694 PMCID: PMC10473844 DOI: 10.5055/jom.2021.0680] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
OBJECTIVE Interventions aimed at limiting opioid use are widespread. These are most often targeted toward prescribers or health systems. Patients' perspectives are too often absent during the creation of such interventions. This qualitative study aims to understand patient experiences with education about perioperative pain control, from preoperative expectation-setting to post-operative pain control strategies and ultimately opioid disposal. DESIGN We performed semistructured interviews focused on patient experiences in the perioperative period. Content from interview transcripts was analyzed using a constant comparative method. SETTING All participants underwent surgery at a single, academic tertiary-care center. PARTICIPANTS Adult patients who had a general surgery operation in the prior 60 days. OUTCOME MEASURE Key themes from interviews about perioperative pain management, specifically related to preoperative expectation-setting and post-operative education. RESULTS Patients identified gaps in communication and education in three main areas: preoperative expectation setting of post-operative pain; post-operative pain control strategies, including use of opioid medications; and the importance of appropriate opioid disposal. Failure to set expectations led to either significant patient anxiety preoperatively or poor preparation for home discharge. Poor education on pain control strategies led to misinformation on when and how to use opioids. Lack of education on opioid disposal led to most participants failing to properly dispose of leftover medication. CONCLUSIONS Gaps in education surrounding post-operative pain and opioid use can lead to patient anxiety, inappropriate use of opioids, and poor disposal rates of leftover medications. Future interventions aimed at patient education to improve pain management and opioid stewardship should be created with an understanding of patient experiences and perceptions.
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Affiliation(s)
- Josh Bleicher
- Department of Surgery, University of Utah, Salt Lake City, Utah
| | - Jordan Esplin
- Department of Surgery, University of Utah, Salt Lake City, Utah
| | | | - Jessica N Cohan
- Department of Surgery, University of Utah; Huntsman Cancer Institute at the University of Utah, Salt Lake City, Utah
| | | | - David W Wetter
- Huntsman Cancer Institute at the University of Utah, Salt Lake City, Utah
| | - Alex H S Harris
- Department of Surgery, Stanford University, Stanford; Center for Innovation to Implementation, VA Palo Alto Healthcare System, Palo Alto, California
| | - Kimberly A Kaphingst
- Department of Communication, University of Utah; Huntsman Cancer Institute at the University of Utah, Salt Lake City, Utah
| | - Lyen C Huang
- Department of Surgery, University of Utah; Huntsman Cancer Institute at the University of Utah, Salt Lake City, Utah
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32
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Mooney R, Espinel W, Elrick A, Kehoe K, Kohlmann W, Kaphingst KA. Uptake of genetic counseling and multi-gene panel testing among women in the Intermountain West with previous negative BRCA1 and BRCA2 results contacted for updated testing. J Genet Couns 2021; 31:470-478. [PMID: 34570943 PMCID: PMC9206233 DOI: 10.1002/jgc4.1513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Women with a personal history of breast or ovarian cancer who previously had BRCA1/2 testing now have the opportunity for additional genetic risk information through multi-gene panel testing. However, little is known about women's receptivity to further contact and uptake of genetic counseling and updated genetic testing. Utilizing a clinic database to identify potential participants, we prospectively contacted women in the United States with a personal and/or family history of breast or ovarian cancer who had negative BRCA1/2 testing, which was performed primarily between 2011 and 2018. Eligible and interested participants were scheduled for a genetic counseling appointment to discuss updated genetic testing using a multi-gene panel. We attempted to contact 455 participants, screened 203 (45%), and 103 (23%) completed a pre-test genetic counseling visit to discuss updated testing. Of these, 88 participants had updated multi-gene panel testing. Participants had an average age of 59 years, and most (78%) had breast cancer with an average age of 45 at diagnosis. The majority (97%) of participants were white. Of participants who underwent panel testing, 13% (n = 11) had at least one pathogenic variant identified. Most participants (86%) had an out-of-pocket cost of $100 or less for their panel. There is a sizable population of women with a personal and/or family history of breast or ovarian cancer and negative BRCA1/2 test results who would qualify for updated multi-gene panel testing. In our study, 59% of those reached who were eligible completed a pre-test genetic counseling visit. Clinics could consider an outreach program to offer genetic counseling and updated genetic testing. Supports for this type of effort may include coordinators and genetic counseling assistants and an available database with patients' contact information and prior genetic test results. Updated testing allows women more information about their risk and may expand the value of genetic counseling.
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Affiliation(s)
- Ryan Mooney
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Whitney Espinel
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Ashley Elrick
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA.,Department of Communication, University of Utah, Salt Lake City, Utah, USA
| | - Kelsey Kehoe
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Wendy Kohlmann
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Kimberly A Kaphingst
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA.,Department of Communication, University of Utah, Salt Lake City, Utah, USA
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33
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Riley KE, Sussman AL, Schofield E, Guest DD, Dailey YT, Schwartz MR, Buller DB, Hunley K, Kaphingst KA, Berwick M, Hay JL. Effect of Superstitious Beliefs and Risk Intuitions on Genetic Test Decisions. Med Decis Making 2021; 42:398-403. [PMID: 34455851 DOI: 10.1177/0272989x211029272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
INTRODUCTION Moving beyond numeric representations of risk perceptions, we examine cognitive causation, or superstitious thinking, and negative affect in risk as predictors of MC1R (i.e., moderate v. high risk) skin cancer genetic testing and responses to this testing. METHODS Participants (N = 496) completed baseline assessments using validated measures of cognitive causation (beliefs that thinking about cancer risk increases cancer likelihood) and negative affect in risk (negative feelings generated during risk perception) and subsequently received a test offer. Participants could access a website to learn about and request genetic testing. Those who tested (n = 167) completed assessments of cognitive and affective reactions 2 wk after testing, including the Impact of Events-Revised Intrusive thoughts subscale. RESULTS Those with higher negative affect in risk were less likely to return a saliva sample for testing (odds ratio = 0.98, 95% confidence interval = 0.96-0.99). Those with higher cognitive causation reported more fear (b = 0.28-0.31; P's < 0.05). Higher negative affect in risk was associated with more emotion-laden test responses, particularly in those receiving higher-risk as compared with average-risk results. CONCLUSION Negative affect in risk did not hamper test information seeking, although it did inhibit the uptake of genetic testing. Those with higher cognitive causation showed more fear regarding their test result, as indicated by higher distress in those who received average-risk results and lower believability in those who received higher-risk results.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Jennifer L Hay
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
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34
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Kawamoto K, Kukhareva PV, Weir C, Flynn MC, Nanjo CJ, Martin DK, Warner PB, Shields DE, Rodriguez-Loya S, Bradshaw RL, Cornia RC, Reese TJ, Kramer HS, Taft T, Curran RL, Morgan KL, Borbolla D, Hightower M, Turnbull WJ, Strong MB, Chapman WW, Gregory T, Stipelman CH, Shakib JH, Hess R, Boltax JP, Habboushe JP, Sakaguchi F, Turner KM, Narus SP, Tarumi S, Takeuchi W, Ban H, Wetter DW, Lam C, Caverly TJ, Fagerlin A, Norlin C, Malone DC, Kaphingst KA, Kohlmann WK, Brooke BS, Del Fiol G. Establishing a multidisciplinary initiative for interoperable electronic health record innovations at an academic medical center. JAMIA Open 2021; 4:ooab041. [PMID: 34345802 PMCID: PMC8325485 DOI: 10.1093/jamiaopen/ooab041] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 02/18/2021] [Accepted: 05/04/2021] [Indexed: 12/02/2022] Open
Abstract
Objective To establish an enterprise initiative for improving health and health care through interoperable electronic health record (EHR) innovations. Materials and Methods We developed a unifying mission and vision, established multidisciplinary governance, and formulated a strategic plan. Key elements of our strategy include establishing a world-class team; creating shared infrastructure to support individual innovations; developing and implementing innovations with high anticipated impact and a clear path to adoption; incorporating best practices such as the use of Fast Healthcare Interoperability Resources (FHIR) and related interoperability standards; and maximizing synergies across research and operations and with partner organizations. Results University of Utah Health launched the ReImagine EHR initiative in 2016. Supportive infrastructure developed by the initiative include various FHIR-related tooling and a systematic evaluation framework. More than 10 EHR-integrated digital innovations have been implemented to support preventive care, shared decision-making, chronic disease management, and acute clinical care. Initial evaluations of these innovations have demonstrated positive impact on user satisfaction, provider efficiency, and compliance with evidence-based guidelines. Return on investment has included improvements in care; over $35 million in external grant funding; commercial opportunities; and increased ability to adapt to a changing healthcare landscape. Discussion Key lessons learned include the value of investing in digital innovation initiatives leveraging FHIR; the importance of supportive infrastructure for accelerating innovation; and the critical role of user-centered design, implementation science, and evaluation. Conclusion EHR-integrated digital innovation initiatives can be key assets for enhancing the EHR user experience, improving patient care, and reducing provider burnout.
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Affiliation(s)
- Kensaku Kawamoto
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.,University of Utah Health, Salt Lake City, Utah, USA
| | - Polina V Kukhareva
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.,University of Utah Health, Salt Lake City, Utah, USA
| | - Charlene Weir
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Michael C Flynn
- University of Utah Health, Salt Lake City, Utah, USA.,Community Physicians Group, University of Utah, Salt Lake City, Utah, USA.,Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Claude J Nanjo
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.,University of Utah Health, Salt Lake City, Utah, USA
| | - Douglas K Martin
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.,University of Utah Health, Salt Lake City, Utah, USA
| | - Phillip B Warner
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.,University of Utah Health, Salt Lake City, Utah, USA
| | - David E Shields
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.,University of Utah Health, Salt Lake City, Utah, USA
| | - Salvador Rodriguez-Loya
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.,University of Utah Health, Salt Lake City, Utah, USA
| | - Richard L Bradshaw
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.,University of Utah Health, Salt Lake City, Utah, USA
| | - Ryan C Cornia
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.,University of Utah Health, Salt Lake City, Utah, USA
| | - Thomas J Reese
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Heidi S Kramer
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Teresa Taft
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Rebecca L Curran
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.,Department of Family & Preventive Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Keaton L Morgan
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.,University of Utah Health, Salt Lake City, Utah, USA.,Department of Surgery, University of Utah, Salt Lake City, Utah, USA
| | - Damian Borbolla
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | - Maia Hightower
- University of Utah Health, Salt Lake City, Utah, USA.,Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA
| | | | - Michael B Strong
- University of Utah Health, Salt Lake City, Utah, USA.,Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Wendy W Chapman
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
| | | | - Carole H Stipelman
- University of Utah Health, Salt Lake City, Utah, USA.,Department of Pediatrics, University of Utah, Salt Lake City, Utah, USA
| | - Julie H Shakib
- University of Utah Health, Salt Lake City, Utah, USA.,Department of Pediatrics, University of Utah, Salt Lake City, Utah, USA
| | - Rachel Hess
- University of Utah Health, Salt Lake City, Utah, USA.,Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA.,Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA
| | - Jonathan P Boltax
- Division of Pulmonary Medicine, Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Joseph P Habboushe
- MD Aware, LLC, New York, New York, USA.,Department of Emergency Medicine, New York University, New York, New York, USA
| | - Farrant Sakaguchi
- University of Utah Health, Salt Lake City, Utah, USA.,Community Physicians Group, University of Utah, Salt Lake City, Utah, USA.,Department of Family & Preventive Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Kyle M Turner
- University of Utah Health, Salt Lake City, Utah, USA.,Community Physicians Group, University of Utah, Salt Lake City, Utah, USA.,Department of Pharmacotherapy, University of Utah College of Pharmacy, Salt Lake City, Utah, USA
| | - Scott P Narus
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.,Intermountain Healthcare, Murray, Utah, USA
| | - Shinji Tarumi
- Research & Development Group, Hitachi, Ltd, Tokyo, Japan
| | | | - Hideyuki Ban
- Research & Development Group, Hitachi, Ltd, Tokyo, Japan
| | - David W Wetter
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA.,Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Cho Lam
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA.,Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Tanner J Caverly
- VA Center for Clinical Management Research, Ann Arbor, Michigan, USA.,Departments of Learning Health Sciences and Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Angela Fagerlin
- Department of Population Health Sciences, University of Utah, Salt Lake City, Utah, USA.,VA Center for Informatics Decision Enhancement and Surveillance (IDEAS), Salt Lake City, Utah, USA
| | - Chuck Norlin
- University of Utah Health, Salt Lake City, Utah, USA.,Department of Pediatrics, University of Utah, Salt Lake City, Utah, USA
| | - Daniel C Malone
- Department of Pharmacotherapy, University of Utah College of Pharmacy, Salt Lake City, Utah, USA
| | - Kimberly A Kaphingst
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA.,Department of Communication, University of Utah, Salt Lake City, Utah, USA
| | - Wendy K Kohlmann
- University of Utah Health, Salt Lake City, Utah, USA.,Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Benjamin S Brooke
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.,Department of Surgery, University of Utah, Salt Lake City, Utah, USA
| | - Guilherme Del Fiol
- Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA
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Ratcliff CL, Wong B, Jensen JD, Kaphingst KA. The Impact of Communicating Uncertainty on Public Responses to Precision Medicine Research. Ann Behav Med 2021; 55:1048-1061. [PMID: 34297059 DOI: 10.1093/abm/kaab050] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Precision medicine research depends upon recruiting large and diverse participant cohorts to provide genetic, environmental, and lifestyle data. How prospective participants react to information about this research, including depictions of uncertainty, is not well understood. PURPOSE The current study examined public responses to precision medicine research, focusing on reactions toward (a) uncertainty about the scientific impact of sharing data for research, and (b) uncertainty about the privacy, security, or intended uses of participant data. METHODS U.S. adults (N = 674; 51.9% male; 50% non-Hispanic white; Mage = 42.23) participated in an online experimental survey. Participants read a manipulated news article about precision medicine research that conveyed either certainty or uncertainty of each type (scientific, data). Participants then rated their attitudes toward the research, trust in the researchers, and willingness to join a cohort. We tested direct and mediated paths between message condition and outcomes and examined individual characteristics as moderators. RESULTS Overall attitudes were positive and a majority of participants (65%) reported being somewhat or very likely to participate in precision medicine research if invited. Conveying uncertainty of either type had no overall main effect on outcomes. Instead, those who reported perceiving greater uncertainty had lower attitudes, trust, and willingness to join, while those with more tolerance for uncertainty, support for science, and scientific understanding responded favorably to the scientific uncertainty disclosure. CONCLUSIONS Findings suggest responses to precision medicine research uncertainty are nuanced and that successful cohort enrollment may be well-supported by a transparent approach to communicating with prospective participants.
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Affiliation(s)
- Chelsea L Ratcliff
- Department of Communication Studies, University of Georgia, Athens, GA, USA
| | - Bob Wong
- College of Nursing, University of Utah, Salt Lake City, UT, USA
| | - Jakob D Jensen
- Department of Communication, University of Utah, Salt Lake City, UT, USA
| | - Kimberly A Kaphingst
- Department of Communication, University of Utah, Salt Lake City, UT, USA.,Huntsman Cancer Institute, Salt Lake City, UT, USA
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Kaphingst KA, Kohlmann W, Chambers RL, Goodman MS, Bradshaw R, Chan PA, Chavez-Yenter D, Colonna SV, Espinel WF, Everett JN, Gammon A, Goldberg ER, Gonzalez J, Hagerty KJ, Hess R, Kehoe K, Kessler C, Kimball KE, Loomis S, Martinez TR, Monahan R, Schiffman JD, Temares D, Tobik K, Wetter DW, Mann DM, Kawamoto K, Del Fiol G, Buys SS, Ginsburg O. Comparing models of delivery for cancer genetics services among patients receiving primary care who meet criteria for genetic evaluation in two healthcare systems: BRIDGE randomized controlled trial. BMC Health Serv Res 2021; 21:542. [PMID: 34078380 PMCID: PMC8170651 DOI: 10.1186/s12913-021-06489-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Accepted: 05/06/2021] [Indexed: 01/07/2023] Open
Abstract
Background Advances in genetics and sequencing technologies are enabling the identification of more individuals with inherited cancer susceptibility who could benefit from tailored screening and prevention recommendations. While cancer family history information is used in primary care settings to identify unaffected patients who could benefit from a cancer genetics evaluation, this information is underutilized. System-level population health management strategies are needed to assist health care systems in identifying patients who may benefit from genetic services. In addition, because of the limited number of trained genetics specialists and increasing patient volume, the development of innovative and sustainable approaches to delivering cancer genetic services is essential. Methods We are conducting a randomized controlled trial, entitled Broadening the Reach, Impact, and Delivery of Genetic Services (BRIDGE), to address these needs. The trial is comparing uptake of genetic counseling, uptake of genetic testing, and patient adherence to management recommendations for automated, patient-directed versus enhanced standard of care cancer genetics services delivery models. An algorithm-based system that utilizes structured cancer family history data available in the electronic health record (EHR) is used to identify unaffected patients who receive primary care at the study sites and meet current guidelines for cancer genetic testing. We are enrolling eligible patients at two healthcare systems (University of Utah Health and New York University Langone Health) through outreach to a randomly selected sample of 2780 eligible patients in the two sites, with 1:1 randomization to the genetic services delivery arms within sites. Study outcomes are assessed through genetics clinic records, EHR, and two follow-up questionnaires at 4 weeks and 12 months after last genetic counseling contactpre-test genetic counseling. Discussion BRIDGE is being conducted in two healthcare systems with different clinical structures and patient populations. Innovative aspects of the trial include a randomized comparison of a chatbot-based genetic services delivery model to standard of care, as well as identification of at-risk individuals through a sustainable EHR-based system. The findings from the BRIDGE trial will advance the state of the science in identification of unaffected patients with inherited cancer susceptibility and delivery of genetic services to those patients. Trial registration BRIDGE is registered as NCT03985852. The trial was registered on June 6, 2019 at clinicaltrials.gov. Supplementary Information The online version contains supplementary material available at 10.1186/s12913-021-06489-y.
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Affiliation(s)
- Kimberly A Kaphingst
- Huntsman Cancer Institute, 2000 Circle of Hope Drive, Salt Lake City, UT, 84112, USA. .,Department of Communication, University of Utah, 255 S. Central Campus Drive, Salt Lake City, UT, 84112, USA.
| | - Wendy Kohlmann
- Huntsman Cancer Institute, 2000 Circle of Hope Drive, Salt Lake City, UT, 84112, USA
| | | | - Melody S Goodman
- School of Global Public Health, New York University, 726 Broadway, New York, NY, 10012, USA
| | - Richard Bradshaw
- Department of Biomedical Informatics, University of Utah, 421 Wakara Way, Suite 140, Salt Lake City, UT, 84108, USA
| | - Priscilla A Chan
- Perlmutter Cancer Center, NYU Langone Health, 160 E. 34th Street, New York, NY, 10016, USA
| | - Daniel Chavez-Yenter
- Huntsman Cancer Institute, 2000 Circle of Hope Drive, Salt Lake City, UT, 84112, USA.,Department of Communication, University of Utah, 255 S. Central Campus Drive, Salt Lake City, UT, 84112, USA
| | - Sarah V Colonna
- Huntsman Cancer Institute, 2000 Circle of Hope Drive, Salt Lake City, UT, 84112, USA.,Veterans Administration Medical Center, 500 S. Foothill Boulevard, Salt Lake City, UT, 84149, USA
| | - Whitney F Espinel
- Huntsman Cancer Institute, 2000 Circle of Hope Drive, Salt Lake City, UT, 84112, USA
| | - Jessica N Everett
- Perlmutter Cancer Center, NYU Langone Health, 160 E. 34th Street, New York, NY, 10016, USA.,Department of Population Health, NYU Grossman School of Medicine, 550 First Avenue, New York, NY, 10016, USA
| | - Amanda Gammon
- Huntsman Cancer Institute, 2000 Circle of Hope Drive, Salt Lake City, UT, 84112, USA
| | - Eric R Goldberg
- Department of Medicine, NYU Grossman School of Medicine, 550 First Avenue, New York, NY, 10016, USA
| | - Javier Gonzalez
- Medical Center Information Technology, NYU Langone Health, 360 Park Avenue South, New York, NY, 10010, USA
| | - Kelsi J Hagerty
- Huntsman Cancer Institute, 2000 Circle of Hope Drive, Salt Lake City, UT, 84112, USA
| | - Rachel Hess
- Department of Population Health Sciences, University of Utah, 295 Chipeta Way, Salt Lake City, UT, 84108, USA
| | - Kelsey Kehoe
- Huntsman Cancer Institute, 2000 Circle of Hope Drive, Salt Lake City, UT, 84112, USA
| | - Cecilia Kessler
- Huntsman Cancer Institute, 2000 Circle of Hope Drive, Salt Lake City, UT, 84112, USA
| | - Kadyn E Kimball
- Huntsman Cancer Institute, 2000 Circle of Hope Drive, Salt Lake City, UT, 84112, USA
| | - Shane Loomis
- NYU Langone Health, 550 First Avenue, New York, NY, 10016, USA.,Boost Services, Epic Systems Corporation, 1979 Milky Way, Verona, WI, 53593, USA
| | - Tiffany R Martinez
- Department of Population Health, NYU Grossman School of Medicine, 550 First Avenue, New York, NY, 10016, USA
| | - Rachel Monahan
- Perlmutter Cancer Center, NYU Langone Health, 160 E. 34th Street, New York, NY, 10016, USA.,Department of Population Health, NYU Grossman School of Medicine, 550 First Avenue, New York, NY, 10016, USA
| | - Joshua D Schiffman
- Huntsman Cancer Institute, 2000 Circle of Hope Drive, Salt Lake City, UT, 84112, USA.,Department of Pediatrics, University of Utah, 295 Chipeta Way, Salt Lake City, UT, 84108, USA
| | - Dani Temares
- Perlmutter Cancer Center, NYU Langone Health, 160 E. 34th Street, New York, NY, 10016, USA
| | - Katie Tobik
- Huntsman Cancer Institute, 2000 Circle of Hope Drive, Salt Lake City, UT, 84112, USA
| | - David W Wetter
- Huntsman Cancer Institute, 2000 Circle of Hope Drive, Salt Lake City, UT, 84112, USA.,Department of Pediatrics, University of Utah, 295 Chipeta Way, Salt Lake City, UT, 84108, USA
| | - Devin M Mann
- Department of Population Health, NYU Grossman School of Medicine, 550 First Avenue, New York, NY, 10016, USA
| | - Kensaku Kawamoto
- Department of Biomedical Informatics, University of Utah, 421 Wakara Way, Suite 140, Salt Lake City, UT, 84108, USA
| | - Guilherme Del Fiol
- Department of Biomedical Informatics, University of Utah, 421 Wakara Way, Suite 140, Salt Lake City, UT, 84108, USA
| | - Saundra S Buys
- Huntsman Cancer Institute, 2000 Circle of Hope Drive, Salt Lake City, UT, 84112, USA.,Department of Internal Medicine, University of Utah, 30 N 1900 E, Salt Lake City, UT, 84132, USA
| | - Ophira Ginsburg
- Perlmutter Cancer Center, NYU Langone Health, 160 E. 34th Street, New York, NY, 10016, USA.,Department of Population Health, NYU Grossman School of Medicine, 550 First Avenue, New York, NY, 10016, USA
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Albrechtsen RD, Goodman MS, Bather JR, Kaphingst KA. Impact of numeracy preferences on information needs for genome sequencing results. Patient Educ Couns 2021; 104:467-472. [PMID: 33036816 PMCID: PMC7965229 DOI: 10.1016/j.pec.2020.09.032] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Revised: 09/05/2020] [Accepted: 09/22/2020] [Indexed: 05/30/2023]
Abstract
OBJECTIVE This study investigated how self-reported numeracy ability and preferences predict preferences for the amount and types of information provided about genome sequencing results among 1080 women diagnosed with breast cancer at age 40 or younger. METHODS Participants reported their level of interest in 14 topics related to genome sequencing results on a survey. We calculated a Participant Information Needs (PIN) value based on the number of topics for which a participant wanted "a lot" of information. Numeracy was assessed using the Subjective Numeracy Scale. Analyses examined associations between the numeracy ability and preferences subscales, information needs for individual content topics, and PIN. RESULTS Higher preference for numeric data was correlated with increased PIN (β = 0.60, p < 0.01), while numeric ability was not correlated (β=0.16, p = 0.22). Family composition and knowledge about sequencing benefits were also significant covariates. Patients most preferred information on topics related to disease risk and health implications. CONCLUSION There may be utility in separating numeracy ability and preferences into two components in future research in order to investigate how numeracy impacts the return of genetic testing results. PRACTICE IMPLICATIONS These data suggest that numeracy preferences may be important to inform strategies for the return of genetic results.
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Affiliation(s)
| | - Melody S Goodman
- New York University School of Global Public Health, 715 Broadway, New York, NY, USA
| | - Jemar R Bather
- Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, USA
| | - Kimberly A Kaphingst
- Huntsman Cancer Institute, 2000 Circle of Hope Dr, Salt Lake City, UT, USA; Department of Communication, University of Utah, 255 Central Campus Dr, Salt Lake City, UT, USA.
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Koptiuch C, Espinel WF, Kohlmann WK, Zhao J, Kaphingst KA. Implications of Multigene Panel Testing on Psychosocial Outcomes: A Comparison of Patients With Pancreatic and Breast or Ovarian Cancer. JCO Precis Oncol 2021; 5:PO.20.00199. [PMID: 34250392 PMCID: PMC8232274 DOI: 10.1200/po.20.00199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 12/01/2020] [Accepted: 12/07/2020] [Indexed: 11/20/2022] Open
Abstract
PURPOSE National Comprehensive Cancer Network guidelines for germline genetic testing have included pancreatic cancer in the context of additional family cancer history for many years but this was not recommended for patients with pancreatic ductal adenocarcinoma (PDAC) independent of a family history until 2019. This hypothesis-generating study reports the results from multigene panel testing for PDAC patients at an academic medical center. PATIENTS AND METHODS This prospective longitudinal feasibility study examined responses to genetic counseling and multigene panel testing among PDAC and breast or ovarian cancer (BrOv) patients between October 2016 and November 2017. Pre- and post-test surveys assessed perceptions of genetic risk and testing, recall, comprehension, and emotional reactions to results using open-ended and closed-ended items. RESULTS Forty-six BrOv and 33 PDAC patients were enrolled, and 44 BrOv and 31 PDAC participants underwent genetic testing. Seven pathogenic variants were identified in six BrOv participants (13.6%), and three pathogenic variants were identified in three PDAC participants (9.7%). The majority of both cohorts expressed similar attitudes about the importance of genetic testing for their personal and family medical management and expressed accurate understanding of implications of their results. Although sample size was small, there were no significant differences between the BrOv and PDAC cohorts for positive or negative emotions. CONCLUSION This study points to high rates of positive emotions and low rates of negative emotions following genetic test results, suggesting that the emotional reactions to genetic test results are similar for patients with BrOv and PDAC, despite poor prognosis with PDAC diagnoses. Because of the unique needs of the PDAC population following diagnosis, a multidisciplinary approach to germline genetic testing following diagnosis may result in best patient and family member outcomes.
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Affiliation(s)
- Cathryn Koptiuch
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
| | | | - Wendy K Kohlmann
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
| | - Jingsong Zhao
- Department of Behavioral, Social, and Health Education Sciences, Emory University, Atlanta, GA
| | - Kimberly A Kaphingst
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT.,Department of Communication, University of Utah, Salt Lake City, UT
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Kaphingst KA, Khan E, White KM, Sussman A, Guest D, Schofield E, Dailey YT, Robers E, Schwartz MR, Li Y, Buller D, Hunley K, Berwick M, Hay JL. Effects of health literacy skills, educational attainment, and level of melanoma risk on responses to personalized genomic testing. Patient Educ Couns 2021; 104:12-19. [PMID: 32773237 PMCID: PMC7749822 DOI: 10.1016/j.pec.2020.07.019] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Revised: 05/27/2020] [Accepted: 07/21/2020] [Indexed: 06/11/2023]
Abstract
OBJECTIVE Few studies have examined how health literacy impacts responses to genetic information. METHODS We examined this issue among 145 English or Spanish-speaking adult primary care patients enrolled in a trial that offered testing for MC1R gene variants that confer moderately increased melanoma risk. We investigated whether health literacy skills, educational attainment, or melanoma risk were related to short-term cognitive and affective responses to genetic test results. RESULTS On average, participants found the test results to be highly believable and clear, with low levels of negative emotional responses and moderate levels of positive responses. In adjusted models, health literacy skills were significantly inversely associated with confusion (OR = 0.75, 95 % CI = 0.58, 0.96); those with higher education thought significantly less about their test results (β = -0.66), were less hopeful (β = -0.89), and had lower distress (β = -1.15). We also observed a significant interaction (p < .001) between health literacy and melanoma risk in affecting the frequency of thoughts about test results. CONCLUSION The findings indicate that health literacy skills may affect to what extent individuals elaborate cognitively on genetic information. PRACTICE IMPLICATIONS Patients with lower health literacy skills or education may need support in understanding genetic test results.
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Affiliation(s)
- Kimberly A Kaphingst
- Huntsman Cancer Institute and Department of Communication, University of Utah, Salt Lake City, UT, USA.
| | - Erva Khan
- Memorial Sloan Kettering Cancer Center, New York, USA
| | - Kirsten Meyer White
- Department of Internal Medicine, University of New Mexico, Albuquerque, NM, USA
| | - Andrew Sussman
- Department of Internal Medicine, University of New Mexico, Albuquerque, NM, USA
| | - Dolores Guest
- Department of Internal Medicine, University of New Mexico, Albuquerque, NM, USA
| | | | - Yvonne T Dailey
- Department of Internal Medicine, University of New Mexico, Albuquerque, NM, USA
| | - Erika Robers
- Department of Internal Medicine, University of New Mexico, Albuquerque, NM, USA
| | - Matthew R Schwartz
- Department of Internal Medicine, University of New Mexico, Albuquerque, NM, USA
| | - Yuelin Li
- Memorial Sloan Kettering Cancer Center, New York, USA
| | | | - Keith Hunley
- Department of Internal Medicine, University of New Mexico, Albuquerque, NM, USA
| | - Marianne Berwick
- Department of Internal Medicine, University of New Mexico, Albuquerque, NM, USA
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40
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Nick HP, Kehoe K, Gammon A, Contreras JL, Kaphingst KA. Researcher Knowledge, Attitudes, and Communication Practices for Genomic Data Sharing. J Empir Res Hum Res Ethics 2020; 16:125-137. [PMID: 33135549 DOI: 10.1177/1556264620969301] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
This study examines knowledge, attitudes, and communication practices toward genomic data sharing among principal investigators and research coordinators engaged in cancer and non-cancer studies. We conducted 25 individual semi-structured interviews and conducted a qualitative thematic analysis. Most interviewees had basic knowledge of data sharing requirements, but lacked specific details of recent changes to NIH policy. Principal investigators perceived more risks to participants for data sharing than the research coordinators who generally obtained consent. Interviewees perceived a trend toward providing fewer data sharing options to participants in the consent process, and had observed that parents of pediatric patients asked more questions than adult patients. Our findings highlight potential areas for improvement related to data sharing during consent processes.
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Affiliation(s)
| | - Kelsey Kehoe
- Huntsman Cancer Institute, Salt Lake City, UT, USA
| | | | | | - Kimberly A Kaphingst
- University of Utah, Salt Lake City, UT, USA.,Huntsman Cancer Institute, Salt Lake City, UT, USA
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41
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Chavez-Yenter D, Chou WYS, Kaphingst KA. State of recent literature on communication about cancer genetic testing among Latinx populations. J Genet Couns 2020; 30:911-918. [PMID: 33142015 DOI: 10.1002/jgc4.1351] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 09/29/2020] [Accepted: 10/01/2020] [Indexed: 12/30/2022]
Abstract
Cancer-related genetic testing (hereafter CGT) has transformed cancer prevention, treatment, and care. Researchers debate whether diffusion and use of genetic testing will reduce or widen cancer health disparities through effects on improving or worsening cancer-related mortality, morbidity, and outcomes that disproportionately affect racial and ethnic minority populations. Cancer disparities by race and ethnicity have been associated with social determinants of health and healthcare access and experience. However, little research has explored how communication about CGT may contribute to these disparities. As such, the goal of this study was to characterize the literature published between 2010 and 2017 on communication about CGT among Latinx populations through a secondary analysis of papers identified in a larger scoping review. We found thirteen (2.5%) of 513 papers in the parent scoping review had over 50% Latinx representation; only nine of these (69%) had fully Latinx comprised study cohorts. The majority of the 13 identified studies (n = 9) were conducted to assess knowledge and attitudes regarding CGT. Most studies included services or materials in both Spanish and English. Few studies assessed language preference or acculturation or compared outcomes across sub-ethnicities. We identified opportunities for researchers to explore differences in outcomes by language preference and acculturation, and between sub-ethnicities in future studies. Leveraging a greater understanding of the heterogeneity within the Latinx population will allow genetics researchers and providers to improve utilization of CGT and therein health outcomes to advance health equity.
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Affiliation(s)
- Daniel Chavez-Yenter
- Department of Communication, University of Utah, Salt Lake City, UT, USA.,Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Wen-Ying Sylvia Chou
- Health Communication and Informatics Research Branch, National Cancer Institute, Rockville, MD, USA
| | - Kimberly A Kaphingst
- Department of Communication, University of Utah, Salt Lake City, UT, USA.,Huntsman Cancer Institute, Salt Lake City, UT, USA
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Abstract
This study investigates how patients' privacy concerns about research uses of biospecimen and trust in doctors are associated with their preferences for informed consent and need for control over biospecimens in a biobank. Particularly, this study focuses on the perspectives of Communication Privacy Management theory, precision medicine, and racial health disparities. We recruited 358 women aged 40 and older stratified by race (56% African American and 44% European American). Multivariable linear regression models examined hypothesis and research questions. Individuals' privacy concerns and trust in doctors were significantly associated with their need for control. Although participants' privacy concerns were positively associated with their preference for study-specific model, trust in doctors had no effect on the preference. African American participants needed more control over their sample and were more likely to prefer study-specific model compared to European American participants. Significant interactions by race on the associations between trust and need for control and between privacy concerns and preference for study-specific model were found. These findings suggest that when developing large diverse biobanks for future studies it is important to consider privacy concerns, trust, and need for control with an understanding that there are differences in preferences by race.
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Affiliation(s)
- Soo Jung Hong
- Department of Communications and New Media, National University of Singapore, Singapore
| | - Bettina Drake
- Division of Public Health Sciences, Washington University School of Medicine, St. Louis, MO
| | - Melody Goodman
- Department of Biostatistics, NYU College of Global Public Health, New York City, NY
| | - Kimberly A. Kaphingst
- Department of Communication, University of Utah, Salt Lake City, UT
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
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McBride CM, Graves KD, Kaphingst KA, Allen CG, Wang C, Arredondo E, Klein WMP. Behavioral and social scientists' reflections on genomics: a systematic evaluation within the Society of Behavioral Medicine. Transl Behav Med 2020; 9:1012-1019. [PMID: 30950497 DOI: 10.1093/tbm/ibz044] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Clinical and public health translation of genomics could be facilitated by expertise from behavioral medicine, yet genomics has not been a significant focus of the Society of Behavioral Medicine (SBM). SBM convened a working group (WG) to lead a systematic exploration of members' views on: (a) whether SBM should give a higher priority to genomic translation and (b) what efforts, if any, should be made to support this increased engagement. The WG used a stepped process over 2 years that began by gaining input from SBM leadership regarding key issues and suggestions for approach, engaging a cross section of membership to expand and record these discussions, followed by systematic qualitative analyses to inform priority action steps. Discussions with SBM leaders and members suggested that genomics was relevant to SBM, particularly for junior members. SBM members' expertise in social and behavioral theory, and implementation study designs, were viewed as highly relevant to genomic translation. Participants expressed that behavioral and social scientists should be engaged in translational genomics work, giving special attention to health disparities. Proposed action steps are aligned with a "push-pull" framework of innovation dissemination. "Push" strategies aim to reach potential adopters and included linking members with genomics expertise to those wanting to become involved and raising awareness of evidence-based genomic applications ready for implementation. "Pull" strategies aim to expand demand and included developing partnerships with genomics societies and advocating for funding, study section modifications, and training programs.
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Affiliation(s)
- Colleen M McBride
- Department of Behavioral Sciences and Health Education, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Kristi D Graves
- Fisher Center for Hereditary Cancer, Georgetown University, Washington, DC, USA
| | | | - Caitlin G Allen
- Department of Behavioral Sciences and Health Education, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Catharine Wang
- Community Sciences Department, Boston University School of Public Health, Boston, MA, USA
| | - Elva Arredondo
- Division of Health Promotion and Behavioral Science, School of Public Health, San Diego State University, San Diego, CA, USA
| | - William M P Klein
- Division of Cancer Control and Population Science, National Cancer Institute, Bethesda, MD, USA
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Hong SJ, Goodman M, Kaphingst KA. Relationships of Family History-related Factors and Causal Beliefs to Cancer Risk Perception and Mammography Screening Adherence Among Medically Underserved Women. J Health Commun 2020; 25:531-542. [PMID: 32673182 PMCID: PMC7749030 DOI: 10.1080/10810730.2020.1788677] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
This study examines how family history-related factors and causal beliefs affect underserved women's cancer risk perceptions and adherence to mammography. 1,010 patients at a primary care safety net clinic at a large urban hospital completed a survey in 2015. Of the 1,010 patients, 467 women 45 years of age or older were included in this analysis. The majority of participants were African American (68%). We built multivariable linear and logistic regression models to examine the dependent variables of cancer risk perception and mammography screening adherence. According to the results, those with a family history of cancer were significantly more likely to be adherent to mammography. Perceived importance of family health history also significantly predicted their mammography screening adherence. However, cancer risk perceptions did not predict underserved women's mammography adherence. Significant interaction effects on the associations 1) between family cancer history, cancer risk perceptions, and mammography screening adherence and 2) between race, behavioral causal beliefs, and risk perceptions were found. Findings suggest that implementing different strategies across racial groups and by cancer history may be necessary to promote regular mammography screening.
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Affiliation(s)
- Soo Jung Hong
- Department of Communications and New Media, National University of Singapore , Singapore
| | - Melody Goodman
- Department of Biostatistics, New York University School of Global Public Health , New York, New York, USA
| | - Kimberly A Kaphingst
- Huntsman Cancer Institute, University of Utah , Salt Lake City, Utah, USA
- Department of Communication, University of Utah , Salt Lake City, Utah, USA
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Politi MC, Goodwin CM, Kaphingst KA, Wang X, Fagerlin A, Fuzzell LN, Philpott-Streiff SE. How Do Subjective Health Literacy Measures Work in Young Adults? Specifying "Online" or "Paper-Based" Forms Impacts Results. MDM Policy Pract 2020; 5:2381468320924672. [PMID: 32529034 PMCID: PMC7263163 DOI: 10.1177/2381468320924672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Accepted: 04/09/2020] [Indexed: 11/16/2022] Open
Abstract
Purpose. There is no gold-standard health literacy measure. The Single Item Literacy Screener (SILS) and Subjective Literacy Screener (SLS) ask people to self-report ability to understand health information. They were developed in older adults, before common use of electronic health information. This study explored whether the SILS and SLS related to objective literacy, numeracy, and comprehension among young adults, and whether specifying "online" or "paper-based" wording affected these relationships. Methods. Eligible individuals (18-35 years of age, English-speaking, US residents) from an online survey company were randomized to 1) original measures; 2) measures adding "paper-based" to describe health information/forms; or 3) measures adding "online" to describe health information/forms. We examined how each measure related to e-Health Literacy (eHEALS), subjective numeracy (SNS), objective numeracy (ONS), and comprehension of a short passage. Results. A total of 848/1342 respondents correctly answered attention-checks and were analyzed. The validated SILS related to comprehension (P = 0.003), eHEALS (P = 0.04), and ONS (P < 0.001) but not SNS (P = 0.44). When adding "paper-based," SILS related to eHEALS (P < 0.001) and ONS (P = 0.003) but did not relate to comprehension (P = 0.25) or SNS (P = 0.35). When adding "online," SILS related to comprehension (P < 0.001), eHEALS (P < 0.001), ONS (P = 0.005), and SNS (P = 0.03). The validated SLS related to comprehension (P < 0.001), eHEALS (P < 0.001), ONS (P < 0.001), and SNS (P < 0.001). When adding "paper-based," the SLS only related to eHEALS (P = <0.001) and comprehension (P = 0.03) but did not relate to ONS (P = 0.13) or SNS (P = 0.33). When adding "online," the SLS related to comprehension (P < 0.001), eHEALS (P < 0.001), and SNS (P = 0.03) but not ONS (P = 0.06). Conclusions. Young adults might interpret subjective health literacy measures differently when prompted to think about electronic or paper-based information. Researchers should consider clearer instructions or modified wording when using these measures in this population.
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Affiliation(s)
- Mary C Politi
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri
| | - Courtney M Goodwin
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri
| | - Kimberly A Kaphingst
- Department of Communication, University of Utah, and Huntsman Cancer Institute, Salt Lake City, Utah
| | - Xuechen Wang
- Department of Population Health Sciences, University of Utah, and Salt Lake City VA Informatics Decision-Enhancement and Analytic Sciences (IDEAS) Center for Innovation, Salt Lake City, Utah
| | - Angela Fagerlin
- Department of Population Health Sciences, University of Utah, and Salt Lake City VA Informatics Decision-Enhancement and Analytic Sciences (IDEAS) Center for Innovation, Salt Lake City, Utah
| | - Lindsay N Fuzzell
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, Florida
| | - Sydney E Philpott-Streiff
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri
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Matsen CB, Ray D, Kaphingst KA, Zhang C, Presson AP, Finlayson SRG. Patient Satisfaction With Decision Making Does Not Correlate With Patient Centeredness of Surgeons. J Surg Res 2020; 246:411-418. [PMID: 31635834 DOI: 10.1016/j.jss.2019.09.028] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Revised: 08/09/2019] [Accepted: 09/13/2019] [Indexed: 11/26/2022]
Abstract
BACKGROUND High-quality decision making is important in patient-centered care. Although patient involvement in decision making varies widely, most patients desire to share in decision making. The Press-Ganey Patient Satisfaction survey includes questions that measure patients' perceptions of their providers' efforts to involve them in decision making (PGDM). We hypothesized that higher PGDM scores would correlate with higher scores on a validated measure of patient centeredness. MATERIALS AND METHODS Surgical providers at a university hospital who routinely receive Press-Ganey scores received a survey that included the Patient-Practitioner Orientation Scale (PPOS), a validated tool that measures the provider's orientation toward patient centeredness on a continuous six-point scale: score ≥5 = high, 4.57-5 = moderate, and <4.57 = low and includes nine-item "caring" or "sharing" subscales. We compared PPOS scores to PGDM scores, averaged from April 2015 to January 2016. RESULTS Eighty-six of 112 (75%) of surgical providers responded to the survey. Fifty-two (46%) had PGDM scores available and 26% achieved a perfect score on the PGDM. The overall PPOS scores were low, with a mean of 4.2 (SD = 0.5). The PPOS was not correlated with the PGDM, correlation coefficient (rs) = -0.07 (CI: -0.34-0.21, P = 0.63). Similarly, the two subscales of the PPOS did not correlate with the PGDM with rs = -0.15 (CI: -0.41-0.13, P = 0.29) for "caring" and rs = -0.04 (CI: -0.31-0.23, P = 0.76) for "sharing". CONCLUSIONS Although surgical providers scored low in patient centeredness using the PPOS, over one-quarter (26%) of them rank in the top 1% on the PGDM. No correlation was found between providers' patient centeredness and their patients' perceptions of efforts to include them in decision making.
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Affiliation(s)
- Cindy B Matsen
- Department of Surgery, University of Utah, Salt Lake City, Utah.
| | - David Ray
- Department of Surgery, University of Utah, Salt Lake City, Utah
| | - Kimberly A Kaphingst
- Department of Communication, University of Utah College of Humanities, Salt Lake City, Utah
| | - Chong Zhang
- Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, Utah
| | - Angela P Presson
- Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, Utah
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Hong SJ, Drake B, Goodman M, Kaphingst KA. Relationships of health information orientation and cancer history on preferences for consent and control over biospecimens in a biobank: A race-stratified analysis. J Genet Couns 2020; 29:479-490. [PMID: 31990114 DOI: 10.1002/jgc4.1217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2019] [Revised: 12/31/2019] [Accepted: 01/06/2020] [Indexed: 11/11/2022]
Abstract
In this study, we investigated how patients' self-reported health information efficacy, relationship with health providers, and cancer history are associated with their preferences for informed consent and need for control over biobank biospecimens. We recruited 358 women aged 40 and older (56% African American; 44% European American) and analyzed the data using multivariable regression models. Results show that African American participants' health information efficacy was significantly and negatively associated with their need for control over biospecimens and preference for a study-specific model. European American participants' dependency on doctors was a significant and negative predictor of their preference for a study-specific model. Several significant interaction effects, which varied across races, were found with regard to health information efficacy, personal cancer history, need for control, and preference for a study-specific model. The study findings suggest it is important to consider health information efficacy, relationship with providers, and need for control when developing large diverse biobanks.
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Affiliation(s)
- Soo Jung Hong
- Department of Communications and New Media, National University of Singapore, Singapore
| | - Bettina Drake
- Division of Public Health Science, Washington University School of Medicine, St. Louis, MO, USA
| | - Melody Goodman
- Department of Biostatistics, New York University College of Global Public Health, New York, NY, USA
| | - Kimberly A Kaphingst
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.,Department of Communication, University of Utah, Salt Lake City, UT, USA
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Pokharel M, Elrick A, Canary HE, Clayton MF, Sukovic M, Champine M, Hong SJ, Kaphingst KA. Health communication roles in Latino, Pacific Islander, and Caucasian Families: A qualitative investigation. J Genet Couns 2019; 29:399-409. [PMID: 31605434 DOI: 10.1002/jgc4.1177] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Revised: 08/28/2019] [Accepted: 09/16/2019] [Indexed: 11/06/2022]
Abstract
Family communication about health is critical for the dissemination of information that may improve health management of all family members. Communication about health issues, attitudes, and behaviors in families is associated with life expectancy as well as quality of life for family members. This study addresses family communication about health by examining individual roles for family health communication and factors related to these roles, among families of three different racial/ethnic groups: Caucasians, Latinos, and Pacific Islanders. Data were collected from 60 participants recruited as 30 family dyads, 10 from each group, through qualitative semistructured interviews. Interviews were conducted with each participant separately and then together in a dyadic interview. Two coders independently coded interview transcripts using NVivo 11. Results identified the family health communication roles of collector, disseminator, health educator, and researcher. We also identified several factors related to these roles using the lens of family systems theory-the presence of chronic conditions in the family, previous experience, medical education, and family hierarchy. Findings demonstrate many similarities and relatively few differences in the family health communication roles and the related factors among the families of different race/ethnicity. Conclusions highlight implications for future research and intervention development.
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Affiliation(s)
- Manusheela Pokharel
- Department of Communication Studies, Texas State University, San Marcos, Texas
| | - Ashley Elrick
- Department of Communication, University of Utah, Salt Lake City, Utah.,Huntsman Cancer Institute, Salt Lake City, Utah
| | - Heather E Canary
- School of Communication, San Diego State University, San Diego, California
| | - Margaret F Clayton
- Huntsman Cancer Institute, Salt Lake City, Utah.,College of Nursing, University of Utah, Salt Lake City, Utah
| | - Masha Sukovic
- Department of Communication, University of Utah, Salt Lake City, Utah
| | | | - Soo Jung Hong
- Department of Communications and New Media, National University of Singapore, Singapore
| | - Kimberly A Kaphingst
- Department of Communication, University of Utah, Salt Lake City, Utah.,Huntsman Cancer Institute, Salt Lake City, Utah
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Huang LC, Esplin J, Cohan J, Savarise M, Kaphingst KA. Rural Patient Experience after Surgery. J Am Coll Surg 2019. [DOI: 10.1016/j.jamcollsurg.2019.08.831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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White KAM, Dailey YT, Guest DD, Zielaskowski K, Robers E, Sussman A, Hunley K, Hughes CR, Schwartz MR, Kaphingst KA, Buller DB, Hay JL, Berwick M. MC1R Variation in a New Mexico Population. Cancer Epidemiol Biomarkers Prev 2019; 28:1853-1856. [PMID: 31488411 DOI: 10.1158/1055-9965.epi-19-0378] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2019] [Revised: 06/10/2019] [Accepted: 08/30/2019] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND The Melanocortin 1 Receptor (MC1R) contributes to pigmentation, an important risk factor for developing melanoma. Evaluating SNPs in MC1R and association with race/ethnicity, skin type, and perceived cancer risk in a New Mexico (NM) population will elucidate the role of MC1R in a multicultural population. METHODS We genotyped MC1R in 191 NMs attending a primary care clinic in Albuquerque. We obtained individuals' self-identified race/ethnicity, skin type, and perceived cancer risk. We defined genetic risk as carriage of any one or more of the nine most common SNPs in MC1R. RESULTS We found that one MC1R SNP, R163Q (rs885479), was identified in 47.6% of self-identified Hispanics and 12.9% of non-Hispanic whites (NHW), making Hispanics at higher "genetic risk" (as defined by carrying one of the MC1R common variants). When we deleted R163Q from analyses, Hispanics were no longer at higher genetic risk (33.3%) compared with NHW (48.3%), consistent with melanoma rates, tanning ability, and lower perceived risk. Hispanics had a perceived risk significantly lower than NHW and a nonsignificant better tanning ability than NHW. CONCLUSIONS The R163Q variant in MC1R may not be a risk factor for melanoma among NM Hispanics. This suggestion points to the need to carefully interpret genetic risk factors among specific populations. IMPACT Genetic risk cannot be extrapolated from Northern European populations directly to non-European populations.
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Affiliation(s)
- Kirsten A M White
- Department of Internal Medicine, University of New Mexico, Albuquerque, New Mexico
| | - Yvonne T Dailey
- Department of Internal Medicine, University of New Mexico, Albuquerque, New Mexico
| | - Dolores D Guest
- Comprehensive Cancer Center, University of New Mexico, Albuquerque, New Mexico
| | - Kate Zielaskowski
- Department of Psychiatry & Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Erika Robers
- Comprehensive Cancer Center, University of New Mexico, Albuquerque, New Mexico
| | - Andrew Sussman
- Comprehensive Cancer Center, University of New Mexico, Albuquerque, New Mexico
| | - Keith Hunley
- Department of Anthropology, University of New Mexico, Albuquerque, New Mexico
| | | | - Matthew R Schwartz
- Comprehensive Cancer Center, University of New Mexico, Albuquerque, New Mexico
| | | | | | - Jennifer L Hay
- Department of Psychiatry & Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Marianne Berwick
- Department of Internal Medicine, University of New Mexico, Albuquerque, New Mexico. .,Comprehensive Cancer Center, University of New Mexico, Albuquerque, New Mexico
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