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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.

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-to-engraftment (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.

Background: Awareness of disease status has been identified as a factor in the treatment decision-making process. Women with recurrent ovarian cancer are facing the challenge of making treatment decisions throughout the disease trajectory. It is not understood how women with ovarian cancer perceive their disease and subsequently make treatment decisions. Purpose: The purpose of this phenomenological study was to understand the lived experience of women with recurrent ovarian cancer, how they understood their disease and made their treatment decisions. Methods: A qualitative design with a descriptive phenomenological method was used to conduct 2 in-depth interviews with 12 women (n = 24 interviews). Each interview was ∼60 minutes and was digitally recorded and professionally transcribed. Data collection focused on patients' understanding of their disease and how patients participated in treatment decisions. A modified version of Colaizzi's method of phenomenological reduction guided data analysis. Results: Three themes emerged to describe the phenomenon of being aware of disease status: (1) perceiving recurrent ovarian cancer as a chronic illness, (2) perceived inability to make treatment decisions, and (3) enduring emotional distress. Conclusions and Implications: This study revealed how 12 women conceptualized recurrent ovarian cancer as a chronic disease and their perceived inability to make treatment decisions because of lack of information and professional qualifications, resulting in enduring emotional distress. Future research should replicate the study to confirm the persistence of the themes for racially, ethnically, and religiously diverse patient samples and to improve understanding of awareness of disease status and decision-making processes of patients.

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.

Preventing adverse events among chronically ill older adults living in the community is a national health priority. The purpose of this study was to generate distinct risk profiles and compare these profiles in time to: hospitalization, emergency department (ED) visit or death in 371 community-dwelling older adults enrolled in a Medicare demonstration project. Guided by the Behavioral Model of Health Service Use, a secondary analysis was conducted using Latent Class Analysis to generate the risk profiles with Kaplan Meier methodology and log rank statistics to compare risk profiles. The Vuong-Lo-Mendell-Rubin Likelihood Ratio Test demonstrated optimal fit for three risk profiles (High, Medium, and Low Risk). The High Risk profile had significantly shorter time to hospitalization, ED visit, and death (p < 0.001 for each). These findings provide a road map for generating risk profiles that could enable more effective targeting of interventions and be instrumental in reducing health care costs for subgroups of chronically ill community-dwelling older adults.

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.

Objectives: To examine innovative models and other research-based interventions that hold potential to assure high-quality care for the growing older adult population living with cancer as one of multiple chronic conditions. Evidence from these care delivery approaches provides a roadmap for the development of future care models. Data Sources: Published peer-reviewed literature, policy analyses, and web-based resources. Conclusion: Available evidence suggests the need for models that engage patients and their family caregivers, focus on patient's functional capacities, emphasize palliative care, and maximize the contributions of all team members. Implications for Nursing Practice: Nurses are uniquely positioned to lead or play a major role in the evolution and implementation of care models targeting older adults with cancer, but must increase their knowledge and skills related to both oncology and geriatrics to maximize their contributions.

In 2000, the John A. Hartford Foundation established the Building Academic Geriatric Nursing Capacity Program initiative, acknowledging nursing's key role in the care of the growing population of older adults. This program has supported 249 nurse scientists with pre- and postdoctoral awards. As a result of the program's success, several Building Academic Geriatric Nursing Capacity Program awardees formed an alumni organization to continue to advance the quality care of older adults. This group of Building Academic Geriatric Nursing Capacity Program awardees joined others receiving support from the John A. Hartford Foundation nursing initiatives to grow a formal organization, the Hartford Gerontological Nursing Leaders (HGNL). The purpose of this article is to present the development, accomplishments, and challenges of the HGNL, informing other professional nursing organizations that are experiencing similar accomplishments and challenges. This article also demonstrates the power of a funding initiative to grow an organization dedicated to impact gerontological health and health care through research, practice, education, and policy.

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.