Data Quality of Automated Comorbidity Lists in Patients With Mental Health and Substance Use Disorders.

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.

A Scoping Review of Nursing's Contribution to the Management of Patients with Pain and Opioid Misuse.

BACKGROUND: Nursing brings a unique lens to care of patients with pain and opioid misuse. AIMS: This scoping review describes nursing's contribution to the literature on the management of patients with pain and opioid misuse, generating evidence to guide clinical care. DESIGN: The scoping review was conducted according to Preferred Reporting Items for Systematic Review and Meta-Analyses extension for Scoping Reviews guideline. DATA SOURCES: Using combined key terms ("opioid misuse," "pain," "nursing") in systematic searches in PubMed and Cumulative Index to Nursing and Allied Health Literature (CINAHL) electronic databases, snowball technique, and personal knowledge resulted in 108 relevant articles, reports, and websites. ANALYSIS METHOD: Summative approach to content analysis was used to quantify and describe nursing's contribution to the literature. RESULTS: Contributions of nurses emerged in the areas of research, clinical practice, policy, and education. The highest number of publications addressed research (50%, 54 of 108), whereas the fewest number of publications involved education (7%, 8 of 108). CONCLUSION: Results provide a picture of the breadth of expertise and crucial leadership that nurses contribute to influence management of patients with pain and opioid misuse. IMPLICATIONS FOR NURSING: This scoping review indicates the importance of continued support from key stakeholders, including training and interprofessional collaboration opportunities supported by the National Institutes of Health, to sustain nursing's contribution to quality care of patients with pain and opioid misuse. Ultimately, all health care professionals must collaborate to conduct rigorous research and construct evidence-based guidelines to inform policy initiatives and education strategies to solve the complex co-occurring epidemics of pain and opioid misuse.

Multidimensional Pain Assessment Tools for Ambulatory and Inpatient Nursing Practice.

BACKGROUND: One of the critical components in pain management is the assessment of pain. Multidimensional measurement tools capture multiple aspects of a patient's pain experience but can be cumbersome to administer in busy clinical settings. AIM: We conducted a systematic review to identify brief multidimensional pain assessment tools that nurses can use in both ambulatory and acute care settings. METHODS: We searched PUBMED/MEDLINE, PsychInfo, and CINAHL databases from January 1977 through December 2019. Eligible English-language articles were systematically screened and data were extracted independently by two raters. Main outcomes included the number and types of domains captured by each instrument (e.g., sensory, impact on function, temporal components) and tool characteristics (e.g., administration time, validity) that may affect instrument uptake in practice. RESULTS: Our search identified eight multidimensional assessment tools, all of which measured sensory or affective qualities of pain and its impact on functioning. Most tools measured impact of pain on affective functioning, mood, or enjoyment of life. One tool used ecological momentary assessment via a web-based app to assess pain symptoms. Time to administer the varying tools ranged from less than 2 minutes to 10 minutes, and evidence of validity was reported for seven of the eight tools. CONCLUSIONS: Our review identified eight multidimensional pain measurement tools that nurses can use in ambulatory or acute care settings to capture patients' experience of pain. The most important element in selecting a multidimensional pain measure, though, is that one tool is selected that best fits the practice and is used consistently over time.

Moving Beyond Pain as the Fifth Vital Sign and Patient Satisfaction Scores to Improve Pain Care in the 21st Century.

In an attempt to address the issue of undertreated pain, the Pain as the Fifth Vital Sign (P5VS) Initiative was established to improve the quality of pain care across clinical settings. This initiative included policy efforts such as mandatory pain screening and the implementation of pain-related questions on patient satisfaction surveys. These policies have failed to enhance the treatment of pain and may have unintentionally contributed, in part, to the opioid epidemic. To assess pain more effectively, an inter-professional team approach using multi-dimensional pain assessment tools is needed. The inter-professional team can use these multi-dimensional tools to conduct comprehensive assessments to measure aspects of the pain experience (e.g., psychological, spiritual and socio-emotional pain; impact on daily functioning) beyond its sensory component and establish realistic goals that align with patients' needs. To implement multi-dimensional pain assessments in busy clinical practices, nurses will need to play a central role. Nurses can work to ensure that patients complete the questionnaires prior to the visit. Nurses can also take the lead in the use of new technologies in the form of tablets, smart phones, and mobile apps to facilitate collecting patient-level data in the home or in a waiting room before their visits.

Policy Research Challenges in Comparing Care Models for Dual-Eligible Beneficiaries.

Providing affordable, high-quality care for the 10 million persons who are dual-eligible beneficiaries of Medicare and Medicaid is an ongoing health-care policy challenge in the United States. However, the workforce and the care provided to dual-eligible beneficiaries are understudied. The purpose of this article is to provide a narrative of the challenges and lessons learned from an exploratory study in the use of clinical and administrative data to compare the workforce of two care models that deliver home- and community-based services to dual-eligible beneficiaries. The research challenges that the study team encountered were as follows: (a) comparing different care models, (b) standardizing data across care models, and (c) comparing patterns of health-care utilization. The methods used to meet these challenges included expert opinion to classify data and summative content analysis to compare and count data. Using descriptive statistics, a summary comparison of the two care models suggested that the coordinated care model workforce provided significantly greater hours of care per recipient than the integrated care model workforce. This likely represented the coordinated care model's focus on providing in-home services for one recipient, whereas the integrated care model focused on providing services in a day center with group activities. The lesson learned from this exploratory study is the need for standardized quality measures across home- and community-based services agencies to determine the workforce that best meets the needs of dual-eligible beneficiaries.

Multiple Chronic Conditions and Hospitalizations Among Recipients of Long-Term Services and Supports.

BACKGROUND: Among older adults receiving long-term services and supports (LTSS), debilitating hospitalizations is a pervasive clinical and research problem. Multiple chronic conditions (MCCs) are prevalent in LTSS recipients. However, the combination of MCCs and diseases associated with hospitalizations of LTSS recipients is unclear. OBJECTIVE: The purpose of this analysis was to determine the association between classes of MCCs in newly enrolled LTSS recipients and the number of hospitalizations over a 1-year period following enrollment. METHODS: This report is based on secondary analysis of extant data from a longitudinal cohort study of 470 new recipients of LTSS, 60 years and older, receiving services in assisted living facilities, nursing homes, or through home- and community-based services. Using baseline chronic conditions reported in medical records, latent class analysis was used to identify classes of MCCs and posterior probabilities of membership in each class. Poisson regressions were used to estimate the relative ratio between posterior probabilities of class membership and number of hospitalizations during the 3-month period prior to the start of LTSS (baseline) and then every 3 months forward through 12 months. RESULTS: Three latent MCC-based classes named Cardiopulmonary, Cerebrovascular/Paralysis, and All Other Conditions were identified. The Cardiopulmonary class was associated with elevated numbers of hospitalizations compared to the All Other Conditions class (relative ratio [RR] = 1.88, 95% CI [1.33, 2.65], p < .001). CONCLUSION: Older LTSS recipients with a combination of MCCs that includes cardiopulmonary conditions have increased risk for hospitalization.

Pharmacological Approaches for the Management of Persistent Pain in Older Adults: What Nurses Need to Know.

HOW TO OBTAIN CONTACT HOURS BY READING THIS ARTICLE INSTRUCTIONS 1.4 contact hours will be awarded by Villanova University College of Nursing upon successful completion of this activity. A contact hour is a unit of measurement that denotes 60 minutes of an organized learning activity. This is a learner-based activity. Villanova University College of Nursing does not require submission of your answers to the quiz. A contact hour certificate will be awarded once you register, pay the registration fee, and complete the evaluation form online at http://goo.gl/gMfXaf. To obtain contact hours you must: 1. Read the article, "Pharmacological Approaches for the Management of Persistent Pain in Older Adults: What Nurses Need to Know" found on pages 49-57, carefully noting any tables and other illustrative materials that are included to enhance your knowledge and understanding of the content. Be sure to keep track of the amount of time (number of minutes) you spend reading the article and completing the quiz. 2. Read and answer each question on the quiz. After completing all of the questions, compare your answers to those provided within this issue. If you have incorrect answers, return to the article for further study. 3. Go to the Villanova website listed above to register for contact hour credit. You will be asked to provide your name; contact information; and a VISA, MasterCard, or Discover card number for payment of the $20.00 fee. Once you complete the online evaluation, a certificate will be automatically generated. This activity is valid for continuing education credit until November 30, 2019. CONTACT HOURS This activity is co-provided by Villanova University College of Nursing and SLACK Incorporated. Villanova University College of Nursing is accredited as a provider of continuing nursing education by the American Nurses Credentialing Center's Commission on Accreditation. ACTIVITY OBJECTIVES 1. Describe age-related barriers to pain assessment and key aspects of the assessment process. 2. Identify benefits and risks associated with commonly prescribed analgesic medications for the treatment of later life pain. DISCLOSURE STATEMENT Neither the planners nor the authors have any conflicts of interest to disclose. The current article addresses pharmacological treatment issues regarding the management of persistent pain in later life, which is a worldwide problem associated with substantial disability. Recommendations from guidelines were reviewed and data are presented regarding the benefits and risks of commonly prescribed analgesic medications. The evidence base supports a stepwise approach with acetaminophen as first-line therapy for mild-to-moderate pain. Oral nonsteroidal anti-inflammatory drugs are not recommended for long-term use. In properly selected older patients, opioid drugs should be considered if pain is not adequately controlled. Careful surveillance to monitor for benefits and harms of therapy is critical, given that advancing age increases risk for adverse effects. Key aspects of the pain care process that nurses routinely engage in are covered, including conducting pain assessments prior to initiating therapy, addressing barriers to effective pain care, educating patients and family members about the importance of reducing pain, discussing treatment-related risks and benefits, and formulating strategies to monitor for treatment outcomes. Finally, a case is presented to illustrate issues that arise in the care of affected patients. [Journal of Gerontological Nursing, 42(12), 49-57.].

A Preliminary Validation of an Optimal Cutpoint in Total Number of Patient-Reported Symptoms in Head and Neck Cancer for Effective Alignment of Clinical Resources with Patients' Symptom Burden.

Background: Patients with head and neck cancer (HNC) often experience high symptom burden leading to lower quality of life (QoL). Objective: This study aims to conceptually model optimal cutpoint by examining where total number of patient-reported symptoms exceeds patients' coping capacity, leading to a decline in QoL in patients with HNC. Methods: Secondary data analysis of 105 individuals with HNC enrolled in a clinical usefulness study of the NYU Electronic Patient Visit Assessment (ePVA)©, a digital patient-reported symptom measure. Patients completed ePVA and European Organization for Research and Treatment of Cancer (EORTC©) QLQ-C30 v3.0. The total number of patient-reported symptoms was the sum of symptoms as identified by the ePVA questionnaire. Analysis of variance (ANOVA) was used to define optimal cutpoint. Results: Study participants had a mean age of 61.5, were primarily male (67.6%), and had Stage IV HNC (53.3%). The cutpoint of 10 symptoms was associated with significant decline of QoL (F= 44.8, P<.0001), dividing the population into categories of low symptom burden (< 10 symptoms) and high symptom burden (≥ 10 symptoms). Analyses of EORTC© function subscales supported the validity of 10 symptoms as the optimal cutpoint (Physical: F=28.3, P<.0001; Role: F=21.6, P<.0001; Emotional: F=9.5, P=.003; Social: F=33.1, P<.0001). Conclusions: In HNC, defining optimal cutpoints in the total number of patient-reported symptoms is feasible. Implications for Practice: Cutpoints in the total number of patient-reported symptoms may identify patients experiencing a high symptom burden from HNC. Foundational: Using optimal cutpoints of the total number of patient-reported symptoms may help effectively align clinical resources with patients' symptom burden.

Prevalence and correlates of fear of recurrence among oral and oropharyngeal cancer survivors.

PURPOSE: Fear of recurrence (FoR) is a prevalent and difficult experience among cancer patients. Most research has focused on FoR among breast cancer patients, with less attention paid to characterizing levels and correlates of FoR among oral and oropharyngeal cancer survivors. The purpose was to characterize FoR with a measure assessing both global fears and the nature of specific worries as well as evaluate the role of sociodemographic and clinical factors, survivorship care transition practices, lifestyle factors, and depressive symptoms in FoR. METHODS: Three hundred eighty-nine oral and oropharyngeal survivors recruited from two cancer registries completed a survey assessing demographics, cancer treatment, symptoms, alcohol and tobacco use, survivorship care practices, depression, and FoR. RESULTS: Forty percent reported elevated global FoR, with similar percentages for death (46%) and health worries (40.3%). Younger, female survivors and survivors experiencing more physical and depressive symptoms reported more global fears and specific fears about the impact of recurrence on roles, health, and identity, and fears about death. Depression accounted for a large percent of the variance. Lower income was associated with more role and identity/sexuality worries, and financial hardship was associated with more role worries. CONCLUSIONS: FoR is a relatively common experience for oral and oropharyngeal cancer survivors. Many of its correlates are modifiable factors that could be addressed with multifocal, tailored survivorship care interventions. IMPLICATIONS FOR CANCER SURVIVORS: Assessing and addressing depressive symptoms, financial concerns, expected physical symptoms in the first several years of survivorship may impact FoR among oral and oropharyngeal cancer survivors.

Enhancing Self-care Among Oral Cancer Survivors: Protocol for the Empowered Survivor Trial.

BACKGROUND: Survivors of oral cavity and oropharyngeal cancer frequently experience difficulties in swallowing; tasting; speaking; chewing; and maintaining comfortable movements of the head, neck, and shoulder. Engagement in regular self-care can reduce further loss of function and mitigate late effects. Despite the substantial self-care requirements, there are no empirically based interventions to enhance the skills and confidence of these survivors in managing their ongoing care. OBJECTIVE: The aim of this study is to describe the rationale and methodology for a randomized controlled trial evaluating Empowered Survivor (ES) versus Springboard Beyond Cancer, a general web-based program for cancer survivors, on self-efficacy in managing care, preparedness for managing survivorship, and health-related quality of life (QOL). METHODS: This study will recruit a total of 600 individuals who were diagnosed with oral cavity or oropharyngeal cancer in the past 3 years and are currently cancer free primarily from state cancer registries; these individuals will be randomly assigned to either the ES or Springboard Beyond Cancer condition. The participants complete measures of self-efficacy in managing care, preparedness for survivorship, health-related QOL, and engagement in oral self-examination and head and neck strengthening and flexibility exercises at baseline and 2 and 6 months after baseline. The primary aim of this study is to evaluate the impact of ES versus Springboard Beyond Cancer on self-efficacy, preparedness, and health-related QOL. The secondary aim is to examine the mediators and moderators of ES's impact on self-efficacy in managing care, preparedness, and health-related QOL at 6 months. The exploratory aim is to conduct a process evaluation of ES to identify potential oncology or community settings for future implementation. RESULTS: Multilevel modeling will be used to examine whether there are significant differences between the ES and Springboard Beyond Cancer interventions over time. Mediational models will evaluate the indirect effects of ES on outcomes. Quantitative analyses will evaluate the predictors of ES use, and qualitative analyses will evaluate the preferred timing and settings for the implementation of ES. CONCLUSIONS: This randomized controlled trial evaluates a completely web-based intervention, ES, versus a general web-based program for cancer survivors, Springboard Beyond Cancer, on self-efficacy in managing care, preparedness for managing survivorship, and health-related QOL and identifies the putative mediators and moderators of the intervention's effects. If an effect on the primary outcomes is illustrated, the next step could be an implementation trial to evaluate the intervention's uptake in and impact on an oncology care setting or nonprofit organizations. TRIAL REGISTRATION: ClincalTrials.gov NCT04713449; https://clinicaltrials.gov/ct2/show/NCT04713449. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/39996.

Functional status in older women following gynecological cancer surgery: can choice of measure influence evidence for clinical practice?

Although functional status serves as a major predictor of morbidity, researchers and clinicians use different terms and measures, limiting comparisons across studies. To demonstrate how differing measures may generate varied findings, we compared and contrasted data from the SF-12 Health Survey Physical Component Summary Scale (SF-12 PCS) and the Enforced Social Dependency Scale (ESDS). The sample consisted of 49 women aged 65 and older recovering from gynecological cancer surgery with data collection at baseline (postoperative period) and then at 3 and 6 months. Analysis of the relationship between SF-12 PCS and ESDS over time using generalized estimating equations (GEE) demonstrated the relationship was less than 1.0, signaling less than perfect agreement between measures (ß = 0.16, P = .002). These findings suggest that that the 2 measures are not interchangeable and may produce conflicting evidence. This highlights the importance of researchers' and clinicians' careful conceptualization and operationalization of functional status before measure selection.

An Integrative Review on Factors Contributing to Fear of Cancer Recurrence Among Young Adult Breast Cancer Survivors.

BACKGROUND: Fear of cancer recurrence (FCR) is the most prevalent need among breast cancer survivors. Age is the most consistent predictor of higher FCR, with prevalence rates as high as 70% among young adults. Although the association between age and higher FCR is well established, a more comprehensive understanding of the factors contributing to higher FCR among young adult breast cancer survivors is needed. OBJECTIVE: The purpose of this integrative review was to explore the factors associated with higher FCR among young adult breast cancer survivors (≤ 45 years old). METHODS: A literature search was conducted using PubMed, CINAHL, PsycINFO, and EMBASE databases with specific Medical Subject Headings terms delimited to FCR, diagnosis, sex, and age range. The initial search yielded 378 studies, 13 of which met the eligibility criteria. RESULTS: Themes include motherhood status, health behaviors and decision making (eg, surveillance behaviors and surgical decision making), psychological morbidity, and social support. Cognitive behavioral factors include cognitive processing, metacognition, illness intrusiveness, and self-efficacy. CONCLUSION: Fear of cancer recurrence among young adult breast cancer survivors is a unique construct requiring further exploration and tailored interventions to improve the health-related quality of life for this population. IMPLICATIONS FOR PRACTICE: Oncology nurses should screen all cancer survivors for FCR, with particular attention to the unique needs of young adults. Future research should address the role of age-appropriate support and increased levels of FCR during surveillance periods.

The usefulness of the Electronic Patient Visit Assessment (ePVA)© as a clinical support tool for real-time interventions in head and neck cancer.

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.

Mental Health and Substance Use Disorders in Patients Diagnosed With Cancer: An Integrative Review of Healthcare Utilization.

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.

The Effect of Glucose Levels Prior to Hematopoietic Cell Transplantation on Post-Transplant Complications and Health Resource Utilization.

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: 404 patients met the criteria for involvement in this study. The population was 55% male and was racially and ethnically mixed (White 38%, African American 23%, Hispanic 6%, Asian 7%, Other 21%). Mean age was 57+14 years. Significantly more patients in Group 2 were diagnosed with pneumonia (19%) compared with the Group 1 (7%) and Group 3 (10%) [p=.0054]. Patients in Group 2 also had significantly longer median LOS: Group 1-23 days, Group 2-26 days, Group 3-22 days [p = .0157]. No significant differences were noted in terms of the other infectious complications or in time-to-engraftment or readmissions. Conclusion: Pre-HCT BG trends may be a prognostic biomarker for adverse outcomes, and thus can help improve quality of care for HCT patients.

The development, usability, and reliability of the Electronic Patient Visit Assessment (ePVA) for head and neck cancer.

BACKGROUND: Annually, over 65,000 persons are diagnosed with head and neck cancer in the United States. During treatment, up to 50% of patients become severely symptomatic with pain, fatigue, mouth sores, and inability to eat. Long term complications are lymphedema, fibrosis, dysphagia, and musculoskeletal impairment. Patients' ability to perform daily activities and to interact socially may be impaired, resulting in poor quality of life. A pragmatic, clinically useful assessment is needed to ensure early detection and intervention for patients to report symptoms and functional limitations over time. We developed the Electronic Patient Visit Assessment (ePVA) that enables patients to report 42 symptoms related to head and neck cancer and 17 limitations of functional status. This manuscript reports (I) the development of the ePVA, (II) the content validity of the ePVA, and (III) the usability and reliability of the ePVA. METHODS: Usability was evaluated using the "Think Aloud" technique to guide the iterative process to refine the ePVA based on participants' evaluations. After signing the informed consent, 30 participants with head and neck cancer completed the ePVA using digital tablet devices while thinking aloud about ease of use. All patient conversations were recorded and professionally transcribed. Reliability of the ePVA symptom and functional limitation measures was estimated using the Kuder-Richardson test. Convergent validity of the ePVA was evaluated using the European Organization for Research and Treatment of Cancer (EORTC) QLQ-C30 global QoL/health scale. Transcribed qualitative data were analyzed using directed content analysis approach. Quantitative analyses consisted of descriptive statistics and correlation analyses. RESULTS: Among participants, 90% strongly agreed or agreed that the ePVA system was easy to use and 80% were very satisfied. Only minor usability problems were reported due to formatting and software "bugs". Reporting of usability problems decreased in frequency over the study period and no usability problems were reported by the last 3 participants who completed the ePVA. Based on participants' suggestions during the iterative process, refinement of the ePVA included increased touch sensitivity of the touch screen technology and customized error messages to improve ease of use. The ePVA also recorded patient reported symptoms (mouth symptoms: 93%, fibrosis: 60%, fatigue: 60%). The ePVA demonstrated acceptable reliability (alpha =0.82-0.85) and convergent validity (ePVA total number of reported symptoms and function limitations was negatively correlated with EORTC QLQ-C30 global QOL/health scale: r=-0.55038, P<0.01). CONCLUSIONS: The ePVA was rigorously developed, accepted by patients with satisfaction, and demonstrated acceptable reliability and convergent validity. Future research will use data generated by the ePVA to determine the impact of symptom trajectories on functional status, treatment interruptions and terminations, and health resource use in head and neck cancer.

Frailty in Older Adults: Assessment, Support, and Treatment Implications in Patients With Cancer

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.

Machine learning for detection of lymphedema among breast cancer survivors.

BACKGROUND: In the digital era when mHealth has emerged as an important venue for health care, the application of computer science, such as machine learning, has proven to be a powerful tool for health care in detecting or predicting various medical conditions by providing improved accuracy over conventional statistical or expert-based systems. Symptoms are often indicators for abnormal changes in body functioning due to illness or side effects from medical treatment. Real-time symptom report refers to the report of symptoms that patients are experiencing at the time of reporting. The use of machine learning integrating real-time patient-centered symptom report and real-time clinical analytics to develop real-time precision prediction may improve early detection of lymphedema and long term clinical decision support for breast cancer survivors who face lifelong risk of lymphedema. Lymphedema, which is associated with more than 20 distressing symptoms, is one of the most distressing and dreaded late adverse effects from breast cancer treatment. Currently there is no cure for lymphedema, but early detection can help patients to receive timely intervention to effectively manage lymphedema. Because lymphedema can occur immediately after cancer surgery or as late as 20 years after surgery, real-time detection of lymphedema using machine learning is paramount to achieve timely detection that can reduce the risk of lymphedema progression to chronic or severe stages. This study appraised the accuracy, sensitivity, and specificity to detect lymphedema status using machine learning algorithms based on real-time symptom report. METHODS: A web-based study was conducted to collect patients' real-time report of symptoms using a mHealth system. Data regarding demographic and clinical information, lymphedema status, and symptom features were collected. A total of 355 patients from 45 states in the US completed the study. Statistical and machine learning procedures were performed for data analysis. The performance of five renowned classification algorithms of machine learning were compared: Decision Tree of C4.5, Decision Tree of C5.0, gradient boosting model (GBM), artificial neural network (ANN), and support vector machine (SVM). Each classification algorithm has certain user-definable hyper parameters. Five-fold cross validation was used to optimize these hyper parameters and to choose the parameters that led to the highest average cross validation accuracy. RESULTS: Using machine leaning procedures comparing different algorithms is feasible. The ANN achieved the best performance for detecting lymphedema with accuracy of 93.75%, sensitivity of 95.65%, and specificity of 91.03%. CONCLUSIONS: A well-trained ANN classifier using real-time symptom report can provide highly accurate detection of lymphedema. Such detection accuracy is significantly higher than that achievable by current and often used clinical methods such as bio-impedance analysis. Use of a well-trained classification algorithm to detect lymphedema based on symptom features is a highly promising tool that may improve lymphedema outcomes.