Distribution of Genomic Testing Resources by Oncology Practice and Rurality: A Nationally Representative Study

被引:21
|
作者
Gardner, Brittany [1 ]
Doose, Michelle [2 ]
Sanchez, Janeth, I [2 ]
Freedman, Andrew N. [3 ]
de Moor, Janet S. [2 ]
机构
[1] NCI, Div Canc Control & Populat Sci, 9609 Med Ctr Dr,4E556, Rockville, MD 20850 USA
[2] NCI, Healthcare Delivery Res Program, Div Canc Control & Populat Sci, Rockville, MD 20850 USA
[3] NCI, Epidemiol & Genom Res Program, Div Canc Control & Populat Sci, Rockville, MD 20850 USA
基金
美国国家卫生研究院;
关键词
ON-SITE EVALUATION; CANCER; CHALLENGES; HOSPITALS; ATTITUDES; MEDICINE; FUTURE; VOLUME; LUNG; CARE;
D O I
10.1200/PO.21.00109
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
PURPOSE Oncologists are increasingly using molecular profiling to inform personalized patient treatment decisions. Despite its promising utility, the integration of genomic testing into diverse clinical health care settings across geographic settings has been understudied. METHODS We used data from the National Survey of Precision Medicine in Cancer Treatment, a nationally representative sample of practicing US oncologists, to assess the availability of six genomic testing resources, including on-site pathology, contracts with outside laboratories, on-site genetic counselors, internal policies or protocols for using genomic and biomarker testing, electronic medical record alerts, and genomic or molecular tumor boards. We used multivariate logistic regression models to examine differences in the availability of each genomic testing resource by practice type and rurality while adjusting for payer mix and patient volume. RESULTS A larger proportion of multispecialty group and academic practices had genomic testing resources available compared with solo and nonacademic practices. Electronic medical record alerts were the least available resource, whereas contracts with outside laboratories were the most available resource. Compared with urban practices, there were significantly fewer practices located in rural areas that had on-site pathology, on-site genetic counselors, protocols for genomic tests, and molecular tumor boards. CONCLUSION Genomic testing resources varied by practice type and geography among a nationally representative sample of practicing oncologists. This variation has important implications for the development of interventions and policies to support the more equitable delivery of precision oncology to patients with cancer.
引用
收藏
页码:1060 / 1068
页数:9
相关论文
共 34 条
  • [21] Effect of a multi-disciplinary approach and incorporation of reflex testing on genomic profiling of non-squamous lung cancer in a community oncology practice.
    Gupta, Niraj K.
    Toney, Brent
    Uprety, Sajeev
    Mastrodicasa, Mark
    Ascioti, Anthony
    Nuthakki, Vijay
    Leagre, Christopher A.
    Mahidhara, Raja
    Freeman, Richard K.
    Jhajria, Sunil
    Schroeder, Ryan
    Mintz, Ed
    Schmidt, Kristen
    Tumati, Vas
    Liebross, Robert H.
    JOURNAL OF CLINICAL ONCOLOGY, 2019, 37 (15)
  • [22] Distribution and determinants of pneumonia diagnosis using integrated management of childhood illness guidelines: a nationally representative study in Malawi (vol 3, e000506, 2018)
    Uwemedimo, O. T.
    Lewis, T. P.
    Essien, E. A.
    BMJ GLOBAL HEALTH, 2018, 3 (03):
  • [23] Decreased Management of Genital Warts in Young Women in Australian General Practice Post Introduction of National HPV Vaccination Program: Results from a Nationally Representative Cross-Sectional General Practice Study
    Harrison, Christopher
    Britt, Helena
    Garland, Suzanne
    Conway, Lynne
    Stein, Alicia
    Pirotta, Marie
    Fairley, Christopher
    PLOS ONE, 2014, 9 (09):
  • [24] Fast Healthcare Interoperability Resources (FHIR)-Based Quality Information Exchange for Clinical Next-Generation Sequencing Genomic Testing: Implementation Study
    Seong, Donghyeong
    Jung, Sungwon
    Bae, Sungchul
    Chung, Jongsuk
    Son, Dae-Soon
    Yi, Byoung-Kee
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2021, 23 (04)
  • [25] Fractional Flow Reserve Cardio-Oncology Effects on Inpatient Mortality, Length of Stay, and Cost Based on Malignancy Type: Machine Learning Supported Nationally Representative Case-Control Study of 30 Million Hospitalizations
    Chauhan, Siddharth
    Monlezun, Dominique J.
    Kim, Jin Wan
    Goel, Harsh
    Hanna, Alex
    Hoang, Kenneth
    Palaskas, Nicolas
    Lopez-Mattei, Juan
    Hassan, Saamir
    Kim, Peter
    Cilingiroglu, Mehmet
    Marmagkiolis, Konstantinos
    Iliescu, Cezar A.
    MEDICINA-LITHUANIA, 2022, 58 (07):
  • [26] Differences in patient characteristics, clinical practice and outcomes of cardiac implantable electric device therapy between Japan and the USA: a cross-sectional study using data from nationally representative administrative databases
    Tonegawa-Kuji, Reina
    Inoue, Yuko Y.
    Nakai, Michikazu
    Kanaoka, Koshiro
    Sumita, Yoko
    Miyazaki, Yuichiro
    Wakamiya, Akinori
    Shimamoto, Keiko
    Ueda, Nobuhiko
    Nakajima, Kenzaburo
    Wada, Mitsuru
    Kamakura, Tsukasa
    Yamagata, Kenichiro
    Ishibashi, Kohei
    Miyamoto, Koji
    Nagase, Satoshi
    Aiba, Takeshi
    Miyamoto, Yoshihiro
    Iwanaga, Yoshitaka
    Kusano, Kengo
    BMJ OPEN, 2023, 13 (01):
  • [27] The impact of single gene testing (SGT) on subsequent comprehensive genomic profiling (CGP) success in community oncology practice for advanced non-small cell lung cancer (NSCLC): Results from a prospective observational reference laboratory testing program
    Nesline, Mary K.
    DePietro, Paul
    Cooper, Maureen
    Zhang, Shengle
    Howarth, Sarah
    Wallen, Zachary D.
    Biorn, Michael D.
    Strickland, Kyle C.
    Previs, Rebecca A.
    Ko, Heidi Chwan
    Sausen, Mark
    Jackson, Jennifer B.
    Saini, Kamal S.
    Wise, Scott
    Jensen, Taylor J.
    Pabla, Sarabjot
    Conroy, Jeffrey M.
    Reddy, Prasanth
    Severson, Eric A.
    Ramkissoon, Shakti
    JOURNAL OF CLINICAL ONCOLOGY, 2023, 41 (16)
  • [28] Body count- distribution, determinants and geographical mapping of lifetime sexual partners among Gen-X, Millennial and Gen-Z: hierarchical regression modelling study of nationally representative Indian survey
    Halder, Pritam
    Jeer, Girish
    Rathor, Shivani
    Prabhakar, Manish Chandra
    Chattopadhyay, Ankita
    Sarkar, Sushanta
    Das, Anamika
    JOURNAL OF HEALTH POPULATION AND NUTRITION, 2025, 44 (01)
  • [29] Genomic testing among patients with newly diagnosed advanced non-small cell lung cancer in the United States: A contemporary clinical practice patterns study
    Paz-Ares, Luis
    Gondos, Adam
    Saldana, Diego
    Thomas, Marlene
    Mascaux, Celine
    Bubendorf, Lukas
    Barlesi, Fabrice
    LUNG CANCER, 2022, 167 : 41 - 48
  • [30] Screening for cognitive impairment in routine clinical oncology practice: a pilot study using Patient Reported Outcome Measures and online cognitive testing in melanoma and breast cancer patients
    Albers, Elaine
    de Ligt, Kelly
    Schagen, Sanne
    van de Poll-Franse, Lonneke
    QUALITY OF LIFE RESEARCH, 2024, 33 : S115 - S115