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Cummins MR, Shishupal S, Wong B, Wan N, Han J, Johnny JD, Mhatre-Owens A, Gouripeddi R, Ivanova J, Ong T, Soni H, Barrera J, Wilczewski H, Welch BM, Bunnell BE. Travel Distance Between Participants in US Telemedicine Sessions With Estimates of Emissions Savings: Observational Study. J Med Internet Res 2024; 26:e53437. [PMID: 38536065 PMCID: PMC11137427 DOI: 10.2196/53437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 11/22/2023] [Accepted: 01/26/2024] [Indexed: 05/16/2024] Open
Abstract
BACKGROUND Digital health and telemedicine are potentially important strategies to decrease health care's environmental impact and contribution to climate change by reducing transportation-related air pollution and greenhouse gas emissions. However, we currently lack robust national estimates of emissions savings attributable to telemedicine. OBJECTIVE This study aimed to (1) determine the travel distance between participants in US telemedicine sessions and (2) estimate the net reduction in carbon dioxide (CO2) emissions attributable to telemedicine in the United States, based on national observational data describing the geographical characteristics of telemedicine session participants. METHODS We conducted a retrospective observational study of telemedicine sessions in the United States between January 1, 2022, and February 21, 2023, on the doxy.me platform. Using Google Distance Matrix, we determined the median travel distance between participating providers and patients for a proportional sample of sessions. Further, based on the best available public data, we estimated the total annual emissions costs and savings attributable to telemedicine in the United States. RESULTS The median round trip travel distance between patients and providers was 49 (IQR 21-145) miles. The median CO2 emissions savings per telemedicine session was 20 (IQR 8-59) kg CO2). Accounting for the energy costs of telemedicine and US transportation patterns, among other factors, we estimate that the use of telemedicine in the United States during the years 2021-2022 resulted in approximate annual CO2 emissions savings of 1,443,800 metric tons. CONCLUSIONS These estimates of travel distance and telemedicine-associated CO2 emissions costs and savings, based on national data, indicate that telemedicine may be an important strategy in reducing the health care sector's carbon footprint.
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Affiliation(s)
- Mollie R Cummins
- College of Nursing, University of Utah, Salt Lake City, UT, United States
- Spencer Fox Eccles School of Medicine, Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States
- Doxy.me Inc, Charleston, SC, United States
| | - Sukrut Shishupal
- Spencer Fox Eccles School of Medicine, Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States
| | - Bob Wong
- College of Nursing, University of Utah, Salt Lake City, UT, United States
| | - Neng Wan
- Department of Geography, University of Utah, Salt Lake City, UT, United States
| | - Jiuying Han
- Department of Geography, University of Utah, Salt Lake City, UT, United States
| | - Jace D Johnny
- College of Nursing, University of Utah, Salt Lake City, UT, United States
| | - Amy Mhatre-Owens
- College of Nursing, University of Utah, Salt Lake City, UT, United States
| | - Ramkiran Gouripeddi
- Spencer Fox Eccles School of Medicine, Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States
| | | | - Triton Ong
- Doxy.me Inc, Charleston, SC, United States
| | - Hiral Soni
- Doxy.me Inc, Charleston, SC, United States
| | - Janelle Barrera
- Doxy.me Inc, Charleston, SC, United States
- Department of Psychiatry and Behavioral Neurosciences, Morsani College of Medicine, University of South Florida, Salt Lake City, UT, United States
| | | | - Brandon M Welch
- Doxy.me Inc, Charleston, SC, United States
- Medical University of South Carolina, Charleston, SC, United States
| | - Brian E Bunnell
- Doxy.me Inc, Charleston, SC, United States
- Department of Psychiatry and Behavioral Neurosciences, Morsani College of Medicine, University of South Florida, Salt Lake City, UT, United States
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Frey MK, Ahsan MD, Webster E, Levi SR, Brewer JT, Lin J, Blank SV, Krinsky H, Nchako C, Wolfe I, Thomas C, Christos P, Cantillo E, Chapman-Davis E, Holcomb K, Sharaf RN. Web-based tool for cancer family history collection: A prospective randomized controlled trial. Gynecol Oncol 2023; 173:22-30. [PMID: 37062188 PMCID: PMC10310435 DOI: 10.1016/j.ygyno.2023.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 03/31/2023] [Accepted: 04/01/2023] [Indexed: 04/18/2023]
Abstract
OBJECTIVES Approximately 1% of individuals have a hereditary cancer predisposition syndrome, however, the majority are not aware. Collecting a cancer family history (CFH) can triage patients to receive genetic testing. To rigorously assess different methods of CFH collection, we compared a web-based tool (WBT) to usual care (clinician collects CFH) in a randomized controlled trial. METHODS New gynecologic oncology patients (seen 9/2019-9/2021) were randomized to one of three arms in a 2:2:1 allocation ratio: 1) usual care clinician CFH collection, 2) WBT completed at home, or 3) WBT completed in office. The WBT generated a cancer-focused pedigree and scores on eight validated cancer risk models. The primary outcome was collection of an adequate CFH (based on established guidelines) with usual care versus the WBT. RESULTS We enrolled 250 participants (usual care - 110; WBT home - 105; WBT office - 35 [closed early due to COVID-19]). Within WBT arms, 109 (78%) participants completed the tool, with higher completion for office versus home (33 [94%] vs. 76 [72%], P = 0.008). Among participants completing the WBT, 63 (58%) had an adequate CFH versus 5 (5%) for usual care (P < 0.001). Participants completing the WBT were significantly more likely to complete genetic counseling (34 [31%] vs. 15 [14%], P = 0.002) and genetic testing (20 [18%] vs. 9 [8%], P = 0.029). Participant and provider WBT experience was favorable. CONCLUSIONS WBTs for CFH collection are a promising application of health information technology, resulting in more comprehensive CFH and a significantly greater percentage of participants completing genetic counseling and testing.
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Affiliation(s)
- Melissa K Frey
- Department of Obstetrics and Gynecology, Division of Gynecology Oncology, Weill Cornell Medicine, New York, NY, United States of America.
| | - Muhammad Danyal Ahsan
- Department of Obstetrics and Gynecology, Division of Gynecology Oncology, Weill Cornell Medicine, New York, NY, United States of America
| | - Emily Webster
- Department of Obstetrics and Gynecology, Division of Gynecology Oncology, Weill Cornell Medicine, New York, NY, United States of America
| | - Sarah R Levi
- Department of Obstetrics and Gynecology, Division of Gynecology Oncology, Weill Cornell Medicine, New York, NY, United States of America
| | - Jesse T Brewer
- Department of Obstetrics and Gynecology, Division of Gynecology Oncology, Weill Cornell Medicine, New York, NY, United States of America
| | - Jenny Lin
- Department of Obstetrics and Gynecology, Division of Gynecology Oncology, Weill Cornell Medicine, New York, NY, United States of America
| | - Stephanie V Blank
- Department of Obstetrics and Gynecology, Division of Gynecology Oncology, Icahn School of Medicine at Mount Sinai, United States of America
| | - Hannah Krinsky
- Department of Obstetrics and Gynecology, Division of Gynecology Oncology, Weill Cornell Medicine, New York, NY, United States of America
| | - Corbyn Nchako
- Department of Obstetrics and Gynecology, Division of Gynecology Oncology, Weill Cornell Medicine, New York, NY, United States of America
| | - Isabel Wolfe
- Department of Obstetrics and Gynecology, Division of Gynecology Oncology, Weill Cornell Medicine, New York, NY, United States of America
| | - Charlene Thomas
- Population Health Sciences, Division of Biostatistics and Epidemiology, Weill Cornell Medicine, New York, NY, United States of America
| | - Paul Christos
- Population Health Sciences, Division of Biostatistics and Epidemiology, Weill Cornell Medicine, New York, NY, United States of America
| | - Evelyn Cantillo
- Department of Obstetrics and Gynecology, Division of Gynecology Oncology, Weill Cornell Medicine, New York, NY, United States of America
| | - Eloise Chapman-Davis
- Department of Obstetrics and Gynecology, Division of Gynecology Oncology, Weill Cornell Medicine, New York, NY, United States of America
| | - Kevin Holcomb
- Department of Obstetrics and Gynecology, Division of Gynecology Oncology, Weill Cornell Medicine, New York, NY, United States of America
| | - Ravi N Sharaf
- Division of Gastroenterology, Department of Medicine, Weill Cornell Medicine, New York, NY, United States of America; Division of Epidemiology, Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, United States of America
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Germline Cancer Risk Profiles of Patients With Young-Onset Colorectal Cancer: Findings From a Prospective Universal Germline Testing and Telegenetics Program. Dis Colon Rectum 2023; 66:531-542. [PMID: 35195555 DOI: 10.1097/dcr.0000000000002347] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
BACKGROUND Colorectal cancer is being increasingly diagnosed in people younger than 50 years. An inheritable cancer predisposition has been reported in 22% of the young-onset cases. Assessment of germline risk is critical for personalized cancer care. OBJECTIVE The study aimed to implement universal germline cancer risk assessment and testing and to define the germline cancer risk profiles of patients presenting with young-onset disease. DESIGN This is a prospective cohort study. SETTINGS This study was conducted at a tertiary-referral academic medical center. PATIENTS This study included newly diagnosed patients presenting to surgical clinics between September 2019 and February 2021 who were treated on a standardized care pathway including the universal germline risk assessment. INTERVENTIONS Patients received educational material on young-onset disease, genetic testing, and insurance coverage followed by genetic counseling (either remotely by telegenetics or in person). Consenting patients were assessed on a 47-gene common hereditary cancer panel. MAIN OUTCOME MEASURES The primary outcome was a proportion of patients with identifiable germline cancer predisposition. RESULTS Among 500 patients with colorectal cancer, 185 (37%) were 50 years of age or younger (median: 44). A family history was absent for the majority of patients (123; 67%), and in 15 patients, tumors (8.1%) were deficient in DNA mismatch repair. Germline testing was completed in 130 patients (70%); the remainder were pending (7%), deceased (1%), or declined (22%). Pathogenic germline mutations were identified in 25 of 130 (19%) patients: 12 in mismatch repair genes and 13 in other genes. A variant of uncertain significance was found in 23 (18%) patients. Importantly, a pathogenic germline mutation was identified in 12% of the patients without a family history (versus 32% with; p = 0.015) and in 13% of those with proficient mismatch repair colorectal cancers (versus 71% if deficient; p < 0.001). LIMITATIONS The study is limited by its implementation at a single tertiary academic institution. CONCLUSIONS One in 5 patients with young-onset disease harbored germline cancer predisposition. This detection rate, coupled with a high level of interest and acceptance from patients and feasibility of implementation, supports universal germline cancer risk assessment in this patient population. See Video Abstract at http://links.lww.com/DCR/B925 . PERFILES DE RIESGO DE CNCER DE LNEA GERMINAL DE PACIENTES CON CNCER COLORRECTAL DE INICIO JOVEN HALLAZGOS DE UN PROGRAMA UNIVERSAL PROSPECTIVO DE PRUEBAS DE LNEA GERMINAL Y TELEGENTICA ANTECEDENTES:El cáncer colorrectal se diagnostica cada vez más en personas menores de 50 años. Se ha informado una predisposición hereditaria al cáncer en el 22 % de los casos de aparición temprana. La evaluación del riesgo de la línea germinal es fundamental para la atención personalizada del cáncer.OBJETIVO:Implementar la evaluación y las pruebas universales de riesgo de cáncer de línea germinal, y definir los perfiles de riesgo de cáncer de línea germinal de los pacientes que presentan una enfermedad de aparición temprana.DISEÑO:Un estudio de cohorte prospectivo.AJUSTE:Un centro médico académico de referencia terciaria.PACIENTES:Los pacientes recién diagnosticados que se presentaron en clínicas quirúrgicas entre Septiembre de 2019 y Febrero de 2021 fueron tratados en una vía de atención estandarizada que incluye una evaluación de riesgo de línea germinal universal.INTERVENCIÓN:Los pacientes recibieron material educativo sobre enfermedades de aparición temprana, pruebas genéticas y cobertura de seguro, seguido de asesoramiento genético (ya sea a distancia por telegenética o en persona). Los pacientes que dieron su consentimiento fueron evaluados en un panel de cánceres hereditarios comunes de 47 genes.MEDIDA DE RESULTADO PRINCIPAL:Proporción de pacientes con predisposición identificable al cáncer de línea germinal.RESULTADOS:Entre 500 pacientes con cáncer colorrectal, 185 (37%) tenían 50 años o menos (mediana: 44). No había antecedentes familiares en la mayoría (123, 67%) y 15 tumores (8,1%) eran deficientes en la reparación del desajuste de ácido desoxirribonucleico. La prueba de línea germinal se completó en 130 pacientes (70%); el resto estaban pendientes (7%), fallecidos (1%) o declinados (22%). Se identificaron mutaciones patogénicas de la línea germinal en 25 (de 130, 19%) pacientes: 12 en genes de reparación de errores de emparejamiento y 13 en otros genes. Se encontró una variante de significado incierto en 23 (18%) pacientes. Es importante señalar que se identificó una mutación germinal patogénica en el 12% de los pacientes sin antecedentes familiares (frente al 32% con; p = 0,015) y en el 13% de aquellos con cánceres colorrectales competentes en la reparación de errores de emparejamiento (frente al 71% si eran deficientes; p < 0,001).LIMITACIÓN:Implementado en una sola institución académica terciaria.CONCLUSIÓN:Uno de cada cinco pacientes con enfermedad de inicio joven albergaba predisposición al cáncer de línea germinal. Esta tasa de detección, junto con un alto nivel de interés y aceptación por parte de los pacientes y la viabilidad de la implementación, respaldan la evaluación universal del riesgo de cáncer de línea germinal en esta población de pacientes. Consulte el Video Resumen en http://links.lww.com/DCR/B925 . (Traducción-Dr. Yesenia Rojas-Khalil ).
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Farnè M, Fortunato F, Neri M, Farnè M, Balla C, Albamonte E, Barp A, Armaroli A, Perugini E, Carinci V, Facchini M, Chiarini L, Sansone VA, Straudi S, Tugnoli V, Sette E, Sensi M, Bertini M, Evangelista T, Ferlini A, Gualandi F. TeleNEwCARe: An Italian case-control telegenetics study in patients with Hereditary NEuromuscular and CArdiac diseases. Eur J Med Genet 2023; 66:104749. [PMID: 36948289 DOI: 10.1016/j.ejmg.2023.104749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 02/23/2023] [Accepted: 03/18/2023] [Indexed: 03/24/2023]
Abstract
Telemedicine provides healthcare services remotely and represents a fundamental resource for the management of rare and fragile patients. Tele-health implementation is a main objective of the European Reference Networks (ERNs) mission to accelerate diagnosis for rare diseases. TeleNewCAre is a pilot case-control project which evaluates the efficacy and satisfaction of telegenetics for neuromuscular and cardiac adult patients, compared to face-to-face genetic counselling. The virtual sessions were co-hosted by a medical geneticist and a neurologist/cardiologist. Specific questionnaires (Clinical Genetics Satisfaction Questionnaire (CGS), Telemedicine Satisfaction Questionnaire (TSQ) and a Satisfaction Questionnaire for medical geneticists) were used to assess the effectiveness and fulfilment of telecounselling, both for patients and health care providers. Satisfaction expressed for telegenetics did not significantly differ from face-to-face counselling. The virtually enrolled patients declared they had the possibility to relate confidentially with the specialists, to share information and to be informed in an exhaustive way about their disease. Almost all patients declared themselves willing to reuse the telecounselling in the future. The multidisciplinary care was perceived as a significant added value. No overt technical problems were reported although the need for digital skills and tools can limit patients' compliance. Our experience supports telegenetics as a valid alternative to traditional genetic counselling in cardiac and neuromuscular patients. This innovative approach facilitates multidisciplinary care, grants a periodical follow up, without forcing patients to discomfortable travelling, and allows to maintain expert care. This result meets the ERNs needs to reduce patients' burden to access and monitor their healthcare.
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Affiliation(s)
- Marianna Farnè
- Medical Genetics Unit, Department of Medical Sciences, University of Ferrara, Ferrara, Italy; Medical Genetics Unit, Department of Mother and Child, Sant'Anna University Hospital of Ferrara, Ferrara, Italy
| | - Fernanda Fortunato
- Medical Genetics Unit, Department of Medical Sciences, University of Ferrara, Ferrara, Italy; Medical Genetics Unit, Department of Mother and Child, Sant'Anna University Hospital of Ferrara, Ferrara, Italy
| | - Marcella Neri
- Medical Genetics Unit, Department of Mother and Child, Sant'Anna University Hospital of Ferrara, Ferrara, Italy
| | - Matteo Farnè
- Department of Statistical Sciences, University of Bologna, Bologna, Italy
| | - Cristina Balla
- Cardiological Center, Sant'Anna University Hospital of Ferrara, Ferrara, Italy
| | - Emilio Albamonte
- The NEMO Clinical Center in Milan, Neurorehabilitation Unit, University of Milan, ASST Niguarda Hospital, Milan, Italy
| | - Andrea Barp
- The NEMO Clinical Center in Milan, Neurorehabilitation Unit, University of Milan, ASST Niguarda Hospital, Milan, Italy
| | - Annarita Armaroli
- Medical Genetics Unit, Department of Mother and Child, Sant'Anna University Hospital of Ferrara, Ferrara, Italy
| | | | | | - Marco Facchini
- Information and Communication Technology Department, Sant'Anna University Hospital of Ferrara, Ferrara, Italy
| | - Luca Chiarini
- Information and Communication Technology Department, Sant'Anna University Hospital of Ferrara, Ferrara, Italy
| | - Valeria A Sansone
- The NEMO Clinical Center in Milan, Neurorehabilitation Unit, University of Milan, ASST Niguarda Hospital, Milan, Italy
| | - Sofia Straudi
- Physical and Rehabilitation Medicine Unit, Sant'Anna University Hospital of Ferrara, Ferrara, Italy
| | - Valeria Tugnoli
- Neurology Unit, Sant'Anna University Hospital of Ferrara, Ferrara, Italy
| | - Elisabetta Sette
- Neurology Unit, Sant'Anna University Hospital of Ferrara, Ferrara, Italy
| | - Mariachiara Sensi
- Neurology Unit, Sant'Anna University Hospital of Ferrara, Ferrara, Italy
| | - Matteo Bertini
- Cardiological Center, Sant'Anna University Hospital of Ferrara, Ferrara, Italy
| | - Teresinha Evangelista
- Functional Unit of Neuromuscular Pathology, Nord/Est/Ile-de-France Neuromuscular Reference Center, Institute of Myology, Pitié-Salpêtrière Hospital, APHP, Sorbonne University, Paris, France
| | - Alessandra Ferlini
- Medical Genetics Unit, Department of Medical Sciences, University of Ferrara, Ferrara, Italy; Medical Genetics Unit, Department of Mother and Child, Sant'Anna University Hospital of Ferrara, Ferrara, Italy.
| | - Francesca Gualandi
- Medical Genetics Unit, Department of Mother and Child, Sant'Anna University Hospital of Ferrara, Ferrara, Italy
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Cazzaniga A, Plebani M, Crimi M. Genome access and other web-based IT solutions: Genetic counseling in the digital era. Front Public Health 2022; 10:1035316. [PMID: 36420016 PMCID: PMC9677116 DOI: 10.3389/fpubh.2022.1035316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 10/21/2022] [Indexed: 11/09/2022] Open
Abstract
Genetic counselors are healthcare professionals who are trained in both medical genetics and counseling to help guide individuals through what is known about genetic predispositions toward a variety of diseases, how they are inherited, and what impact this information can have on them and their partners and families. The range and scope of practice of GC has greatly expanded beyond where it started and now, it is employed in a variety of clinical and research settings. The traditional approach to GC involves meeting with a counselor in person. However, with the increasing availability of online resources, more people are seeking information about genetic disorders online. This shift has led to the development of online GC services. Indeed, genetic counselors are no strangers to improvements in terms of adopting digital solutions in their clinical routine, however, there are few studies assessing genetic counselors' attitudes regarding existing digital tools. Genome Access® is a digital platform that improves patient knowledge in the field of genetic diseases and supports specialists throughout different stages of counseling. This study aims to present Genome Access and discuss the importance of adopting digital technologies designed specifically for GC and what tools these solutions should include.
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Lin J, Wolfe I, Ahsan MD, Krinsky H, Lackner AI, Pelt J, Bolouvi K, Gamble C, Thomas C, Christos PJ, Cantillo E, Holcomb K, Chapman-Davis E, Sharaf R, Lipkin SM, Blank SV, Frey MK. Room for improvement in capturing cancer family history in a gynecologic oncology outpatient setting. Gynecol Oncol Rep 2022; 40:100941. [PMID: 35242980 PMCID: PMC8861387 DOI: 10.1016/j.gore.2022.100941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 02/07/2022] [Accepted: 02/09/2022] [Indexed: 11/29/2022] Open
Abstract
The literature demonstrates that the quality of cancer family history (CFH) as currently collected in the outpatient setting is inadequate to assess disease risk. Prior to implementation of a web-based application for cancer family history collection, we aimed to review the quality of collected CFH in a gynecologic oncology outpatient clinic and determine contributing patient factors. Medical records were reviewed for 200 new patients presenting between 4/2019-7/2019. CFH was collected during the patient interview and evaluated for inclusion of eight elements based on standards set by the genetics community. Univariate and multivariable linear regression analyses were utilized to evaluate the effect of patient characteristics on the number of relatives included in the CFH. Among our cohort of 200 patients, CFH was documented for 185 patients (92.5%). On univariate analysis, patients with a family history of cancer and prior genetic testing had significantly greater median number of relatives included in the CFH. On multivariable analysis, patients with family members with cancer had significantly more relatives included. Our data are consistent with the literature, suggesting that the current collection methods may not adequately capture all measures of a high quality CFH. Patients reporting no family history of cancer and those without prior genetic testing were least likely to have CFH that included key quality elements and these patients might benefit from health information technology CFH collection tools.
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Affiliation(s)
- Jenny Lin
- Weill Cornell Medicine, United States
| | | | | | | | | | - Joe Pelt
- Weill Cornell Medicine, United States
| | | | | | | | | | | | | | | | | | | | - Stephanie V. Blank
- Icahn School of Medicine at Mount Sinai, Blavatnik Family Women’s Health Research Institute, United States
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Ritchie JB, Welch BM, Allen CG, Frey LJ, Morrison H, Schiffman JD, Alekseyenko AV, Dean B, Hughes Halbert C, Bellcross C. Comparison of a Cancer Family History Collection and Risk Assessment Tool - ItRunsInMyFamily - with Risk Assessment by Health-Care Professionals. Public Health Genomics 2021; 25:1-9. [PMID: 34872100 PMCID: PMC9167897 DOI: 10.1159/000520001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2021] [Accepted: 09/28/2021] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Primary care providers (PCPs) and oncologists lack time and training to appropriately identify patients at increased risk for hereditary cancer using family health history (FHx) and clinical practice guideline (CPG) criteria. We built a tool, "ItRunsInMyFamily" (ItRuns) that automates FHx collection and risk assessment using CPGs. The purpose of this study was to evaluate ItRuns by measuring the level of concordance in referral patterns for genetic counseling/testing (GC/GT) between the CPGs as applied by the tool and genetic counselors (GCs), in comparison to oncologists and PCPs. The extent to which non-GCs are discordant with CPGs is a gap that health information technology, such as ItRuns, can help close to facilitate the identification of individuals at risk for hereditary cancer. METHODS We curated 18 FHx cases and surveyed GCs and non-GCs (oncologists and PCPs) to assess concordance with ItRuns CPG criteria for referring patients for GC/GT. Percent agreement was used to describe concordance, and logistic regression to compare providers and the tool's concordance with CPG criteria. RESULTS GCs had the best overall concordance with the CPGs used in ItRuns at 82.2%, followed by oncologists with 66.0% and PCPs with 60.6%. GCs were significantly more likely to concur with CPGs (OR = 4.04, 95% CI = 3.35-4.89) than non-GCs. All providers had higher concordance with CPGs for FHx cases that met the criteria for genetic counseling/testing than for cases that did not. DISCUSSION/CONCLUSION The risk assessment provided by ItRuns was highly concordant with that of GC's, particularly for at-risk individuals. The use of such technology-based tools improves efficiency and can lead to greater numbers of at-risk individuals accessing genetic counseling, testing, and mutation-based interventions to improve health.
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Affiliation(s)
- Jordon B. Ritchie
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, U.S
| | - Brandon M. Welch
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, U.S
- Hollings Cancer Center, Medical University of South Carolina, Charleston, SC US
| | - Caitlin G. Allen
- Department of Behavioral, Social, and Health Education Sciences, Emory University, Rollins School of Public Health, Atlanta, Georgia, U.S
| | - Lewis J. Frey
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, U.S
| | - Heath Morrison
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, U.S
| | - Joshua D. Schiffman
- Oncological Sciences, Huntsman Cancer Institute at the University of Utah, Salt Lake City, UT, U.S
| | | | - Brian Dean
- Computer Science, Clemson University, Clemson, SC, U.S
| | - Chanita Hughes Halbert
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, U.S
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC US
- Hollings Cancer Center, Medical University of South Carolina, Charleston, SC US
| | - Cecelia Bellcross
- Department of Human Genetics, Emory University, Atlanta, Georgia, U.S
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Li X, Kahn RM, Wing N, Zhou ZN, Lackner AI, Krinsky H, Badiner N, Fogla R, Wolfe I, Bergeron H, Nelson BB, Thomas C, Christos PJ, Sharaf RN, Cantillo E, Holcomb K, Chapman-Davis E, Frey MK. Leveraging Health Information Technology to Collect Family Cancer History: A Systematic Review and Meta-Analysis. JCO Clin Cancer Inform 2021; 5:775-788. [PMID: 34328789 PMCID: PMC8812651 DOI: 10.1200/cci.21.00004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
PURPOSE Collection of family cancer histories (FCHs) can identify individuals at risk for familial cancer syndromes. The aim of this study is to evaluate the literature on existing strategies whereby providers use information technology to assemble FCH. METHODS A systematic search of online databases (Ovid MEDLINE, Cochrane, and Embase) between 1980 and 2020 was performed. Statistical heterogeneity was assessed through the chi-square test (ie, Cochrane Q test) and the inconsistency statistic (I2). A random-effects analysis was used to calculate the pooled proportions and means. RESULTS The comprehensive search produced 4,005 publications. Twenty-eight studies met inclusion criteria. Twenty-seven information technology tools were evaluated. Eighteen out of 28 studies were electronic surveys administered before visits (18, 64.3%). Five studies administered tablet surveys in offices (5, 17.8%). Four studies collected electronic survey via kiosk before visits (4, 14.3%), and one study used animated virtual counselor during visits (1, 3.6%). Among the studies that use an FCH tool, the pooled estimate of the overall completion rate was 86% (CI, 72% to 96%), 84% (CI, 65% to 97%) for electronic surveys before visits, 89% (CI, 0.74 to 0.98) for tablet surveys, and 85% (CI, 0.66 to 0.98) for surveys via kiosk. Mean time required for completion was 31.0 minutes (CI, 26.1 to 35.9), and the pooled estimate of proportions of participants referred to genetic testing was 12% (CI, 4% to 23%). CONCLUSION Our review found that electronic FCH collection can be completed successfully by patients in a time-efficient manner with high rates of satisfaction.
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Affiliation(s)
- Xuan Li
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Weill Cornell Medicine, New York, NY
| | - Ryan M Kahn
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Weill Cornell Medicine, New York, NY
| | - Noelani Wing
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Weill Cornell Medicine, New York, NY
| | - Zhen Ni Zhou
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Weill Cornell Medicine, New York, NY
| | - Andreas Ian Lackner
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Weill Cornell Medicine, New York, NY
| | - Hannah Krinsky
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Weill Cornell Medicine, New York, NY
| | - Nora Badiner
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Weill Cornell Medicine, New York, NY
| | - Rhea Fogla
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Weill Cornell Medicine, New York, NY
| | - Isabel Wolfe
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Weill Cornell Medicine, New York, NY
| | - Hannah Bergeron
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Weill Cornell Medicine, New York, NY
| | - Becky Baltich Nelson
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Weill Cornell Medicine, New York, NY
| | - Charlene Thomas
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Weill Cornell Medicine, New York, NY
| | - Paul J Christos
- Division of Biostatistics, Department of Population Health Sciences, Weill Cornell Medicine, New York, NY
| | - Ravi N Sharaf
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Weill Cornell Medicine, New York, NY
| | - Evelyn Cantillo
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Weill Cornell Medicine, New York, NY
| | - Kevin Holcomb
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Weill Cornell Medicine, New York, NY
| | - Eloise Chapman-Davis
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Weill Cornell Medicine, New York, NY
| | - Melissa K Frey
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Weill Cornell Medicine, New York, NY
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9
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Brown EG, Watts I, Beales ER, Maudhoo A, Hayward J, Sheridan E, Rafi I. Videoconferencing to deliver genetics services: a systematic review of telegenetics in light of the COVID-19 pandemic. Genet Med 2021; 23:1438-1449. [PMID: 33824502 PMCID: PMC8023770 DOI: 10.1038/s41436-021-01149-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 03/02/2021] [Accepted: 03/04/2021] [Indexed: 11/09/2022] Open
Abstract
Purpose The COVID-19 pandemic has forced reorganization of clinical services to minimize face-to-face contact between patients and health-care providers. Specialist services, including clinical genetics, must consider methods of remote delivery including videoconferencing—termed telegenetics. This review evaluates the evidence for telegenetics and its applicability to future service development. Methods A systematic review of six databases was conducted to identify studies from 2005 onward using synchronous videoconferencing to deliver clinical genetics services. Included studies compared telegenetics to an alternative method or used a before and after design. Results Thirteen studies met the inclusion criteria (eight compared telegenetics to in-person consultations and three to telephone delivery). Patient satisfaction, genetic knowledge, and psychosocial outcomes were similar for in-person and telegenetic counseling. There was some evidence that telegenetics may be superior to telephone delivery for knowledge gain and reduction in anxiety and depression. There is limited evidence concerning the effect of telegenetics on provider satisfaction and behavioral outcomes. Conclusions are limited by at least moderate risk of bias in all evaluated studies and small sample sizes. Conclusion Across most outcomes measured, telegenetics had equivalent outcomes to in-person appointment; however, the extent to which the available evidence is applicable to longer-term use is debatable.
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Affiliation(s)
- Elizabeth G Brown
- St George's University of London, Department of Academic Primary Care, London, UK
| | - Isabella Watts
- St George's University of London, Department of Academic Primary Care, London, UK.
| | - Emily R Beales
- St George's University of London, Department of Academic Primary Care, London, UK
| | - Ashwini Maudhoo
- St George's University of London, Department of Academic Primary Care, London, UK
| | - Judith Hayward
- Yorkshire and Humber Genomics Medicine Centre, Leeds, UK
| | | | - Imran Rafi
- St George's University of London, Department of Academic Primary Care, London, UK
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10
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Donohue KE, Gooch C, Katz A, Wakelee J, Slavotinek A, Korf BR. Pitfalls and challenges in genetic test interpretation: An exploration of genetic professionals experience with interpretation of results. Clin Genet 2021; 99:638-649. [PMID: 33818754 DOI: 10.1111/cge.13917] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 12/11/2020] [Accepted: 01/04/2021] [Indexed: 12/17/2022]
Abstract
The interpretation of genetic testing results is subject to error. This observational study illustrates examples of pitfalls and challenges in interpretation of genetic testing results as reported by genetics professionals. We surveyed genetics professionals to describe interpretation challenges, the types of variants that were involved, and the reported clinical impact of misconception of a test result. Case studies were then collected from a select group to further explore potential causes of misunderstanding. A total of 83% of survey respondents were aware of at least one instance of genetic test misinterpretation. Both professionals with and without formal training in genetics were challenged by test reports, and variants of unknown significance were most frequently involved. Case submissions revealed that interpretation pitfalls extend beyond variant classification analyses. Inferred challenges in case submissions include lack of genetic counseling, unclear wording of reports, and suboptimal communication among providers. Respondents and case submitters noted that incorrect interpretation can trigger unnecessary follow-up tests and improperly alter clinical management. Further research is needed to validate and quantify large-scale data regarding challenges of genetic results interpretation.
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Affiliation(s)
- Katherine E Donohue
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Catherine Gooch
- Department of Genetics, University of Alabama at Birmingham, Birmingham, Alabama, USA.,Pediatrics, Division of Genetics and Genomic Medicine, Washington University at St Louis School of Medicine, St. Louis, MO, USA
| | - Alexander Katz
- Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, NIH, Bethesda, Maryland, USA
| | - Jessica Wakelee
- Center for the Study of Community Health, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Anne Slavotinek
- Division of Genetics, Department of Pediatrics, University of California, San Francisco, California, USA
| | - Bruce R Korf
- Department of Genetics, University of Alabama at Birmingham, Birmingham, Alabama, USA
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11
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Allen CG, Ritchie JB, Morrison H, Lauzon SD, Nichols M, Schiffman JD, Hughes Halbert C, Welch BM. A thematic analysis of health information technology use among cancer genetic counselors. J Genet Couns 2020; 30:170-179. [PMID: 32643297 DOI: 10.1002/jgc4.1306] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Revised: 05/13/2020] [Accepted: 05/14/2020] [Indexed: 12/14/2022]
Abstract
As precision medicine becomes a mainstay in health care, the use of health information technology (IT) platforms will play an important role in the delivery of services across the cancer care continuum. Currently, there is both limited understanding about perceptions of health IT tools and barriers to their use among cancer genetic counselors. We assessed open-ended responses from a survey conducted among 128 board-certified cancer genetic counselors in the United States. We evaluated the utility of ten health IT tools and perceived barriers to adoption. Responses about characteristics of health IT tools that influence current use (i.e., technology-specific challenges) were deductively analyzed using the diffusion of innovations (DOI) characteristics. Responses about cancer genetic counselors' perceived challenges to adopting health IT tools (i.e., discipline-specific challenges) were inductively coded using a thematic approach. DOI innovation characteristics included mixed perceptions about the relative advantage, complexity, compatibility, trialability, and observability of tools based on the type of tool and perceived end-user. One-third of participants indicated that they were considering adopting or switching health IT tools. Common barriers to adoption included no perceived need for change, lack of organizational infrastructure, cost, and lack of decision-making power. Our findings indicate that addressing barriers to use and adoption of health IT may allow for expansion of these tools among cancer genetic counselors. Integrating health IT is critical for enhancing cancer genetic counselors' capacity to address patient needs and realizing the potential of precision medicine.
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Affiliation(s)
- Caitlin G Allen
- Department of Behavioral Sciences and Health Education, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Jordon B Ritchie
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina, USA
| | | | - Steven D Lauzon
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Michelle Nichols
- College of Nursing, Medical University of South Carolina, Charleston, South Carolina, USA
| | | | - Chanita Hughes Halbert
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina, USA.,Hollings Cancer Center, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Brandon M Welch
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina, USA.,Hollings Cancer Center, Medical University of South Carolina, Charleston, South Carolina, USA
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12
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Ritchie JB, Allen CG, Morrison H, Nichols M, Lauzon SD, Schiffman JD, Hughes Halbert C, Welch BM. Utilization of health information technology among cancer genetic counselors. Mol Genet Genomic Med 2020; 8:e1315. [PMID: 32468681 PMCID: PMC7434745 DOI: 10.1002/mgg3.1315] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 04/22/2020] [Accepted: 04/27/2020] [Indexed: 12/29/2022] Open
Abstract
Background Health information technology (IT) is becoming increasingly utilized by cancer genetic counselors (CGCs). We sought to understand the current engagement, satisfaction, and opportunities to adopt new health IT tools among CGCs. Methods We conducted a mixed‐mode survey among 128 board‐certified CGCs using both closed‐ and open‐ended questions. We then evaluated the utilization and satisfaction among 10 types of health IT tools, including the following: cancer screening tool, family health history (FHx) collection tools, electronic health records (EHRs), telegenetics software, pedigree drawing software, genetic risk assessment tools, gene test panel ordering tools, electronic patient education tools, patient communication tools, and family communication tools. Results Seven of 10 health IT tools were used by a minority of CGCs. The vast majority of respondents reported using EHRs (95.2%) and genetic risk assessment tools (88.6%). Genetic test panel ordering software had the highest satisfaction rate (very satisfied and satisfied) at 80.0%, followed by genetic risk assessment tools (77.1%). EHRs had the highest dissatisfaction rate among CGCs at 18.3%. Dissatisfaction with a health IT tool was associated with desire to change: EHRs (p < .001), cancer screening tools (p = .010), genetic risk assessment tools (p = .024), and family history collection tools (p = .026). We found that nearly half of CGCs were considering adopting or changing their FHx tool (49.2%), cancer screening tool (44.9%), and pedigree drawing tool (41.8%). Conclusion Overall, CGCs reported high levels of satisfaction among commonly used health IT tools. Tools that enable the collection of FHx, cancer screening tools, and pedigree drawing software represent the greatest opportunities for research and development.
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Affiliation(s)
- Jordon B Ritchie
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA.,Biomedical Informatics Center, Medical University of South Carolina, Charleston, SC, USA
| | - Caitlin G Allen
- Department of Behavioral Sciences and Health Education, Emory University, Atlanta, GA, USA
| | - Heath Morrison
- Biomedical Informatics Center, Medical University of South Carolina, Charleston, SC, USA
| | - Michelle Nichols
- College of Nursing, Medical University of South Carolina, Charleston, SC, USA
| | - Steven D Lauzon
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA
| | - Joshua D Schiffman
- University of Utah, Family Cancer Assessment Clinic, Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Chanita Hughes Halbert
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA.,Medical University of South Carolina, Hollings Cancer Center, Charleston, SC, USA
| | - Brandon M Welch
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA.,Biomedical Informatics Center, Medical University of South Carolina, Charleston, SC, USA
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