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Background: Abnormal blood glucose (BG) levels during hematopoietic cell transplantation (HCT) are associated with increased infections, delayed engraftment, and prolonged hospitalization, though little is known about these associations. Materials and Methods: We retrospectively evaluated mean BG levels in the week prior to HCT and subsequent outcomes for 852 HCTs at our hospital from 1/2009 - 12/2013 pertaining to 745 patients. Outcomes included infections (pneumonia, C. difficile, positive cultures, administration of antimicrobials, or neutropenic fever), time-to-engraftment (TTE), and quality indicators (30- and 90-day readmission rates [RR] and median length-of-stay [LOS]). Results: We retrospectively evaluated mean BG levels in the week prior to HCT and subsequent outcomes for 852 HCTs at our hospital from 1/2009 - 12/2013 pertaining to 745 patients. Outcomes included infections (pneumonia, C. difficile, positive cultures, administration of antimicrobials, or neutropenic fever), time-toengraftment (TTE), and quality indicators (30- and 90-day readmission rates [RR] and median length-of-stay [LOS]). Conclusion: Pre-HCT BG trends may be a prognostic biomarker for adverse outcomes, and thus can help improve quality of care for HCT patients. [ABSTRACT FROM AUTHOR]

PROBLEM IDENTIFICATION: The impact of mental health disorders (MHDs) and substance use disorders (SUDs) on healthcare utilization (HCU) in patients with cancer is an understudied phenomenon. LITERATURE SEARCH: A literature search of studies published prior to January 2018 that examined HCU in patients with preexisting MHDs or SUDs diagnosed with cancer was conducted. DATA EVALUATION: The research team evaluated 22 studies for scientific rigor and examined significant trends in HCU, as well as types of the MHD, SUD, and cancer studied. SYNTHESIS: The heterogeneity of HCU outcome measures, MHD, SUD, sample sizes, and study settings contributed to inconsistent study findings. However, study trends indicated higher rates of HCU by patients with depression and lower rates of HCU by patients with schizophrenia. In addition, the concept of HCU measures is evolving, addressing not only volume of health services, but also quality and efficacy. IMPLICATIONS FOR RESEARCH: Oncology nurses are essential to improving HCU in patients with MHDs and SUDs because of their close connections with patients throughout the stages of cancer care. Additional prospective studies are needed to examine specific MHDs and different types of SUDs beyond alcohol use, improving cancer care and the effectiveness of HCU in this vulnerable population. [ABSTRACT FROM AUTHOR]

The article offers information on how nurses use innovation to perform symptom and pain assessments. It mentions that symptom and pain assessment tools can measure multiple aspects of a patient's pain experience in both ambulatory and acute care settings. It discusses that how symptom management can make a positive difference in patients' lives and ability to tolerate cancer treatment.

EHRs provide an opportunity to conduct research on underrepresented oncology populations with mental health and substance use disorders. However, a lack of data quality may introduce unintended bias into EHR data. The objective of this article is describe our analysis of data quality within automated comorbidity lists commonly found in EHRs. Investigators conducted a retrospective chart review of 395 oncology patients from a safety-net integrated healthcare system. Statistical analysis included κ coefficients and a condition logistic regression. Subjects were racially and ethnically diverse and predominantly used Medicaid insurance. Weak κ coefficients ( κ = 0.2-0.39, P < .01) were noted for drug and alcohol use disorders indicating deficiencies in comorbidity documentation within the automated comorbidity list. Further, conditional logistic regression analyses revealed deficiencies in comorbidity documentation in patients with drug use disorders (odds ratio, 11.03; 95% confidence interval, 2.71-44.9; P = .01) and psychoses (odds ratio, 0.04; confidence interval, 0.02-0.10; P < .01). Findings suggest deficiencies in automatic comorbidity lists as compared with a review of provider narrative notes when identifying comorbidities. As healthcare systems increasingly use EHR data in clinical studies and decision making, the quality of healthcare delivery and clinical research may be affected by discrepancies in the documentation of comorbidities., (Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.)

Background: Patients with head and neck cancer (HNC) experience painful, debilitating symptoms and functional limitations that can interrupt cancer treatment, and decrease their health-related quality of life (HRQoL). The Electronic Patient Visit Assessment (ePVA) for head and neck is a web-based mHealth patient-reported measure that asks questions about 21 categories of symptoms and functional limitations common to HNC. This article presents the development and usefulness of the ePVA as a clinical support tool for real-time interventions for patient-reported symptoms and functional limitations in HNC., Methods: Between January 2018 and August 2019, 75 participants were enrolled in a clinical usefulness study of the ePVA. Upon signing informed consent, participants completed the ePVA and the European Organization for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire (QLQ) general (C30) questionnaire v3.0 (scores range from 0 to 100 with 100 representing best HRQoL). Clinical usefulness of the ePVA was defined as demonstration of reliability, convergent validity with HRQoL, and acceptability of the ePVA (i.e., >70% of eligible participants complete the ePVA at two or more visits and >70% of ePVA reports are read by providers). Formal focus group discussions with the interdisciplinary team that cared for patients with HNC guided the development of the ePVA as a clinical support tool. Qualitative and quantitative methods were used throughout the study. Descriptive statistics consisting of means and frequencies, Pearson correlation coefficient, and Student's t-tests were calculated using SAS 9.4 and STATA., Results: The participants were primarily male (71%), White (76%), diagnosed with oropharyngeal or oral cavity cancers (53%), and undergoing treatment for HNC (69%). Data analyses supported the reliability (alpha =0.85), convergent validity with HRQoL scores, and acceptability of the ePVA. Participants with the highest number of symptoms and functional limitations reported significantly worse HRQoL (sum of symptoms: r=-0.50, P<0.0001; sum of function limitations: r=-0.56, P<0.0001). Ninety-two percent of participants (59 of 64) who had follow-up visits within the 6-month study period completed the ePVA at two or more visits and providers read 89% (169 of 189) of automated ePVA reports. The use of the ePVA as a clinical support tool for real-time interventions for symptoms and functional limitations reported by patients is described in a clinical exemplar., Conclusions: This research indicates that the ePVA may be a useful mHealth tool as a clinical support tool for real-time interventions for patient-reported symptoms and functional limitations in HNC. The study findings support future translational research to enhance the usefulness of the ePVA in real world settings for early interventions that decrease symptom burden and improve the QoL of patients with HNC., Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/mhealth-19-250). The series “Real-Time Detection and Management of Chronic Illnesses” was commissioned by the editorial office without any funding or sponsorship. MRF serves as an unpaid Guest Editor of the series and serves as an unpaid editorial board member of mHealth from Aug 2018 to Jul 2020. MRF reports grants from Louis and Rachel Rudin Foundation Interdisciplinary Pilot Project Award, from NIH/2017 Palliative Care Research Cooperative Group Investigator Development Pilot Award (funded by National Institute of Nursing Research U24NR014637); from New York University Research Challenge Fund, and from John A. Harford Foundation Change AGEnts Action Award, during the conduct of the study. BLE reports grants from USA. National Institutes of Health/National Cancer Institute (P30CA006927 Fox Chase Cancer Center Support Grant), during the conduct of the study. JHVC reports grants from Louis and Rachel Rudin Foundation Interdisciplinary Pilot Project, from 2017 Palliative Care Research Cooperative Group Investigator Development Pilot (funded by National Institute of Nursing Research U24NR014637), grants from NYU University Research Challenge Fund, grants from John A. Harford Foundation Change AGEnts Action Award, during the conduct of the study. The authors have no other conflicts of interest to declare., (2021 mHealth. All rights reserved.)

Background: Frailty is defined as a disability in those of advanced age, often with comorbidities, poor nutritional status, cognitive decline, and reduced functional status., Objectives: The purpose of this article is to discuss the concept of frailty, assess the use of a comprehensive geriatric assessment (CGA), and understand the implications for treatment to maintain or enhance physical, functional, and cognitive health of older adult patients with cancer., Methods: Literature about frailty in older adult patients diagnosed with cancer was reviewed to determine evidence-based assessment and treatment options., Findings: About half of all older adult patients with cancer experience some degree of frailty. CGA is a useful way to evaluate frailty and the extent of limitations. Many frailty-specific tools have been developed. Evidence-based strategies are available to address limitations associated with frailty in older adult patients with cancer.

The growing number of individuals with comorbidities experiencing care transitions represents a challenge to the current health care system. A qualitative study of empirical literature, using the Dimensional Analysis approach, was conducted to elucidate the theoretical underpinnings of the phenomenon of individuals with comorbidities undergoing care transitions. The findings were arranged in a novel schematic demonstrating that the relationship among individual attributes, comorbidities, and care processes informed the individual's risk for adverse outcomes. This schematic is useful for future nursing research studies evaluating innovative programs implemented to improve health outcomes among vulnerable populations undergoing care transitions.