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  1. Article ; Online: Financial toxicity in patients with leukemia undergoing hematopoietic stem cell transplantation: A systematic review.

    Pail, Orrin / Knight, Thomas G

    Best practice & research. Clinical haematology

    2023  Volume 36, Issue 2, Page(s) 101469

    Abstract: Financial toxicity (FT) is a term used to describe the objective financial burden of cancer care including the associated coping behaviors used by patients and their caregivers. FT has been shown to result in both direct financial burdens and in ... ...

    Abstract Financial toxicity (FT) is a term used to describe the objective financial burden of cancer care including the associated coping behaviors used by patients and their caregivers. FT has been shown to result in both direct financial burdens and in clinically relevant outcomes, such as non-adherence with care, diminished quality of life, and even decreased overall survival. Much of the data has been described in solid tumors, with limited investigations in the malignant hematology population. Patients with hematologic malignancies undergoing hematopoietic stem cell transplantation (HSCT) face a unique financial burden driven by lengthy hospitalizations and acute and chronic morbidity that have downstream implications on their income and costs. In this review, we discuss the prevalence of FT in patients with leukemia who are eligible for HSCT. We review the impact of FT on financial and clinical outcomes and the role of various interventions that have been studied within this population.
    MeSH term(s) Humans ; Financial Stress ; Quality of Life ; Hematopoietic Stem Cell Transplantation ; Leukemia/therapy ; Hematologic Neoplasms/therapy
    Language English
    Publishing date 2023-04-19
    Publishing country Netherlands
    Document type Systematic Review ; Journal Article ; Review
    ZDB-ID 2048027-1
    ISSN 1532-1924 ; 1521-6926
    ISSN (online) 1532-1924
    ISSN 1521-6926
    DOI 10.1016/j.beha.2023.101469
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  2. Article ; Online: Interventions for Financial Toxicity: More Crucial Than Ever in the Time of COVID-19.

    Knight, Thomas G

    Journal of the National Comprehensive Cancer Network : JNCCN

    2020  Volume 18, Issue 7, Page(s) 915–916

    MeSH term(s) Betacoronavirus ; COVID-19 ; Coronavirus Infections ; Humans ; Pandemics ; Pneumonia, Viral/epidemiology ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-07-07
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 2250759-0
    ISSN 1540-1413 ; 1540-1405
    ISSN (online) 1540-1413
    ISSN 1540-1405
    DOI 10.6004/jnccn.2020.7602
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  3. Article ; Online: Improving Hematopoietic Stem Cell Transplant in the Elderly: Can We Finally Start to Impact Nonrelapse Mortality?

    Knight, Thomas G

    Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation

    2020  Volume 26, Issue 12, Page(s) e303–e304

    MeSH term(s) Aged ; Hematopoietic Stem Cell Transplantation ; Humans ; Potentially Inappropriate Medication List ; Transplant Recipients ; Transplantation Conditioning
    Language English
    Publishing date 2020-10-14
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 1474865-4
    ISSN 1523-6536 ; 1083-8791
    ISSN (online) 1523-6536
    ISSN 1083-8791
    DOI 10.1016/j.bbmt.2020.10.013
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  4. Article ; Online: Financial Toxicity in Patients with Hematologic Malignancies: a Review and Need for Interventions.

    Sears-Smith, Megan / Knight, Thomas G

    Current hematologic malignancy reports

    2023  Volume 18, Issue 5, Page(s) 158–166

    Abstract: Introduction: Financial toxicity is a developing research area to quantify the financial stress experienced by patients and caregivers, as well as the mechanisms by which they manage the costs associated with treatment and the very real harms that this ... ...

    Abstract Introduction: Financial toxicity is a developing research area to quantify the financial stress experienced by patients and caregivers, as well as the mechanisms by which they manage the costs associated with treatment and the very real harms that this stress can inflict upon cancer care. Patients with blood malignancies experience increased costs associated with their diagnosis due to possible inpatient admissions for treatment, frequent office visits, and even more frequent lab evaluations and testing.
    Purpose of review: Multiple studies have examined the causes and effects of financial toxicity on patient care and outcomes, and there have been several validated tools developed to identify patients experiencing or at risk for financial harm.
    Discussion: However, few studies to date have focused on implementing successful interventions to assist in mitigating financial difficulties for patients diagnosed with hematologic malignancies and their families. In this review, we examine the current literature with an emphasis on levels of care, including providers, systems, and policies. Specifically, we discuss published interventions including physician education about treatment costs, financial navigation in cancer centers, and novel institutional multidisciplinary review of patients' financial concerns. We also discuss the urgent need for societal and governmental interventions to lessen financial distress experienced by these highly vulnerable blood cancer patients.
    MeSH term(s) Humans ; Financial Stress ; Health Care Costs ; Neoplasms/therapy ; Hematologic Neoplasms/therapy
    Language English
    Publishing date 2023-07-25
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2229765-0
    ISSN 1558-822X ; 1558-8211
    ISSN (online) 1558-822X
    ISSN 1558-8211
    DOI 10.1007/s11899-023-00707-6
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  6. Article ; Online: Interventions for Financial Toxicity

    Knight, Thomas G.

    Journal of the National Comprehensive Cancer Network

    More Crucial Than Ever in the Time of COVID-19

    2020  Volume 18, Issue 7, Page(s) 915–916

    Keywords Oncology ; covid19
    Publisher Harborside Press, LLC
    Publishing country us
    Document type Article ; Online
    ZDB-ID 2250759-0
    ISSN 1540-1405
    ISSN 1540-1405
    DOI 10.6004/jnccn.2020.7602
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  7. Article: A psychometric reevaluation of the TCU criminal thinking scales (CTS).

    Sease, Thomas B / Joe, George / Pankow, Jennifer / Lehman, Wayne E K / Knight, Kevin

    Journal of offender rehabilitation

    2022  Volume 61, Issue 3, Page(s) 135–147

    Abstract: ... people must overcome (e.g., criminal thinking) to achieve adequate psychosocial functioning ...

    Abstract In the United States, approximately 9 million people cycle in and out of jail and more than 600,000 people are released from prison each year. Unfortunately, the reentry process includes several barriers people must overcome (e.g., criminal thinking) to achieve adequate psychosocial functioning. As such, valid and reliable assessments that allow correctional staff to monitor clients' progress in treatment and test program effectiveness are paramount to reducing this major public safety concern. The TCU Criminal Thinking Scales (CTS) are a widely used assessment of criminal thinking in correctional settings. This study reevaluated the psychometric properties of the TCU CTS using Item Response Theory. Results showed the TCU CTS had good internal reliability and each scale loaded onto one factor. Item level analysis revealed most items adequately fit the model, generally measuring moderate levels of criminal thinking. Furthermore, several TCU CTS scales were negatively correlated with motivation for treatment and psychosocial functioning.
    Language English
    Publishing date 2022-03-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1061172-1
    ISSN 1050-9674
    ISSN 1050-9674
    DOI 10.1080/10509674.2022.2045528
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  8. Article ; Online: Perioperative optimisation in low- and middle-income countries (LMICs): A systematic review and meta-analysis of enhanced recovery after surgery (ERAS).

    Riad, Aya M / Barry, Aisling / Knight, Stephen R / Arbaugh, Carlie J / Haque, Parvez D / Weiser, Thomas G / Harrison, Ewen M

    Journal of global health

    2023  Volume 13, Page(s) 4114

    Abstract: Background: Enhanced recovery after surgery (ERAS) protocols have largely been incorporated into practice in high-income settings due to proven improvement in perioperative outcomes. We aimed to review the implementation of ERAS protocols and other ... ...

    Abstract Background: Enhanced recovery after surgery (ERAS) protocols have largely been incorporated into practice in high-income settings due to proven improvement in perioperative outcomes. We aimed to review the implementation of ERAS protocols and other perioperative optimisation strategies in low- and middle-income countries (LMICs) and their impact on length of hospital stay (LOS).
    Methods: We searched MEDLINE, PubMed, Global Health (CABI), WHO Global Index Medicus, Index Medicus, and Latin American and Caribbean Health Sciences Literature (LILACS) for studies incorporating ERAS or other prehabilitation approaches in LMICs. We conducted a pooled analysis of LOS using a random-effects model to evaluate the impact of such programs. This systematic review was pre-registered on PROSPERO.
    Results: We screened 1205 studies and included 70 for a full-text review; six were eligible for inclusion and five for quantitative analysis, two of which were randomised controlled trials. ERAS was compared to routine practice in all included studies, while none implemented prehabilitation or other preoperative optimisation strategies. Pooled analysis of 290 patients showed reduced LOS in the ERAS group with a standardised mean difference of -2.18 (95% confidence interval (CI) = -4.13, -.0.05, P < 0.01). The prediction interval was wide (95% CI = -7.85, 3.48) with substantial heterogeneity (I
    Conclusions: Perioperative optimisation is feasible in LMICs and appears to reduce LOS, despite high levels of between-study heterogeneity. There is a need for high-quality data on perioperative practice in LMICs and supplementary qualitative analysis to further understand barriers to perioperative optimisation implementation.
    Registration: PROSPERO: CRD42021279053.
    MeSH term(s) Humans ; Enhanced Recovery After Surgery ; Developing Countries ; Postoperative Complications/epidemiology ; Postoperative Complications/prevention & control ; Length of Stay ; Caribbean Region
    Language English
    Publishing date 2023-10-03
    Publishing country Scotland
    Document type Meta-Analysis ; Systematic Review ; Journal Article
    ZDB-ID 2741629-X
    ISSN 2047-2986 ; 2047-2986
    ISSN (online) 2047-2986
    ISSN 2047-2986
    DOI 10.7189/jogh.13.04114
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  9. Article ; Online: Transforming Big Data into AI-ready data for nutrition and obesity research.

    Thomas, Diana M / Knight, Rob / Gilbert, Jack A / Cornelis, Marilyn C / Gantz, Marie G / Burdekin, Kate / Cummiskey, Kevin / Sumner, Susan C J / Pathmasiri, Wimal / Sazonov, Edward / Gabriel, Kelley Pettee / Dooley, Erin E / Green, Mark A / Pfluger, Andrew / Kleinberg, Samantha

    Obesity (Silver Spring, Md.)

    2024  Volume 32, Issue 5, Page(s) 857–870

    Abstract: Objective: Big Data are increasingly used in obesity and nutrition research to gain new insights and derive personalized guidance; however, this data in raw form are often not usable. Substantial preprocessing, which requires machine learning (ML), ... ...

    Abstract Objective: Big Data are increasingly used in obesity and nutrition research to gain new insights and derive personalized guidance; however, this data in raw form are often not usable. Substantial preprocessing, which requires machine learning (ML), human judgment, and specialized software, is required to transform Big Data into artificial intelligence (AI)- and ML-ready data. These preprocessing steps are the most complex part of the entire modeling pipeline. Understanding the complexity of these steps by the end user is critical for reducing misunderstanding, faulty interpretation, and erroneous downstream conclusions.
    Methods: We reviewed three popular obesity/nutrition Big Data sources: microbiome, metabolomics, and accelerometry. The preprocessing pipelines, specialized software, challenges, and how decisions impact final AI- and ML-ready products were detailed.
    Results: Opportunities for advances to improve quality control, speed of preprocessing, and intelligent end user consumption were presented.
    Conclusions: Big Data have the exciting potential for identifying new modifiable factors that impact obesity research. However, to ensure accurate interpretation of conclusions arising from Big Data, the choices involved in preparing AI- and ML-ready data need to be transparent to investigators and clinicians relying on the conclusions.
    Language English
    Publishing date 2024-03-01
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2230457-5
    ISSN 1930-739X ; 1071-7323 ; 1930-7381
    ISSN (online) 1930-739X
    ISSN 1071-7323 ; 1930-7381
    DOI 10.1002/oby.23989
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  10. Article ; Online: Use of GPS tracking collars and accelerometers for rangeland livestock production research.

    Bailey, Derek W / Trotter, Mark G / Knight, Colt W / Thomas, Milt G

    Translational animal science

    2018  Volume 2, Issue 1, Page(s) 81–88

    Abstract: Over the last 20 yr, global positioning system ( ...

    Abstract Over the last 20 yr, global positioning system (
    Language English
    Publishing date 2018-01-25
    Publishing country England
    Document type Journal Article
    ISSN 2573-2102
    ISSN (online) 2573-2102
    DOI 10.1093/tas/txx006
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