A qualitative analysis of algorithm-based decision support usability testing for symptom management across the trajectory of cancer care: one size does not fit all.

BACKGROUND: Adults with cancer experience symptoms that change across the disease trajectory. Due to the distress and cost associated with uncontrolled symptoms, improving symptom management is an important component of quality cancer care. Clinical decision support (CDS) is a promising strategy to integrate clinical practice guideline (CPG)-based symptom management recommendations at the point of care. METHODS: The objectives of this project were to develop and evaluate the usability of two symptom management algorithms (constipation and fatigue) across the trajectory of cancer care in patients with active disease treated in comprehensive or community cancer care settings to surveillance of cancer survivors in primary care practices. A modified ADAPTE process was used to develop algorithms based on national CPGs. Usability testing involved semi-structured interviews with clinicians from varied care settings, including comprehensive and community cancer centers, and primary care. The transcripts were analyzed with MAXQDA using Braun and Clarke's thematic analysis method. A cross tabs analysis was also performed to assess the prevalence of themes and subthemes by cancer care setting. RESULTS: A total of 17 clinicians (physicians, nurse practitioners, and physician assistants) were interviewed for usability testing. Three main themes emerged: (1) Algorithms as useful, (2) Symptom management differences, and (3) Different target end-users. The cross-tabs analysis demonstrated differences among care trajectories and settings that originated in the Symptom management differences theme. The sub-themes of "Differences between diseases" and "Differences between care trajectories" originated from participants working in a comprehensive cancer center, which tends to be disease-specific locations for patients on active treatment. Meanwhile, participants from primary care identified the sub-theme of "Differences in settings," indicating that symptom management strategies are care setting specific. CONCLUSIONS: While CDS can help promote evidence-based symptom management, systems providing care recommendations need to be specifically developed to fit patient characteristics and clinical context. Findings suggest that one set of algorithms will not be applicable throughout the entire cancer trajectory. Unique CDS for symptom management will be needed for patients who are cancer survivors being followed in primary care settings.

Translation of Evidence-Based Interventions Into Oncology Care Settings: An Integrative Review.

BACKGROUND: Adoption of evidence remains slow, leading to variations in practices and quality of care. Examining evidence-based interventions implemented within oncology settings can guide knowledge translation efforts. OBJECTIVE: This integrative review aimed to (1) identify topics implemented for oncology-related evidence-based practice (EBP) change; (2) describe frameworks, guidelines, and implementation strategies used to guide change; and (3) evaluate project quality. METHODS: PubMed and CINAHL were searched to identify published practice change projects. PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) guidelines were followed. Fifty articles met the inclusion criteria. Data were extracted; content analysis was conducted. The Quality Improvement Minimum Quality Criteria Set guided quality assessment. RESULTS: Topics included infection control/prevention (n = 18), pain/palliative care (n = 13), psychosocial assessment (n = 11), and medication adherence (n = 8). Among the projects, Plan, Do, Study, Act (n = 8) and Lean Six Sigma (n = 6) frameworks were used most. Thirty-six projects identified guidelines that directed interventions. Multiple implementation strategies were reported in all articles with planning, education, and restructuring the most common. Reach, sustainability, and ability to be replicated were identified as quality gaps across projects. CONCLUSION: The EBP topics that emerged are consistent with the oncology nursing priorities, including facilitating integration of EBP into practice. The studies identified used national guidelines and implementation strategies to move evidence into practice. Heterogeneity in measurement made synthesis of findings difficult across studies, although individual studies showed improvement in patient outcomes. IMPLICATIONS FOR PRACTICE: Development of an interprofessional oncology consortium could facilitate a standardized approach to implementation of high-priority topics that target improved patient outcomes, harmonize measures, and accelerate translation of evidence into practice.

Leveraging mobile health technology and research methodology to optimize patient education and self-management support for advanced cancer pain.

PURPOSE: Patient education is critical for management of advanced cancer pain, yet the benefits of psychoeducational interventions have been modest. We used mobile health (mHealth) technology to better meet patients' needs. METHODS: Using the Agile and mHealth Development and Evaluation Frameworks, a multidisciplinary team of clinicians, researchers, patients, and design specialists followed a four-phase iterative process to develop comprehensive, tailored, multimedia cancer pain education for a patient-facing smartphone application. The target population reviewed the content and provided feedback. RESULTS: The resulting application provides comprehensive cancer pain education spanning pharmacologic and behavioral aspects of self-management. Custom graphics, animated videos, quizzes, and audio-recorded relaxations complemented written content. Computable algorithms based upon daily symptom surveys were used to deliver brief, tailored motivational messages that linked to more comprehensive teaching. Patients found the combination of pharmacologic and behavioral support to be engaging and helpful. CONCLUSION: Digital technology can be used to provide cancer pain education that is engaging and tailored to individual needs. A replicable interdisciplinary and patient-centered approach to intervention development was advantageous. mHealth interventions may be a scalable approach to improve cancer pain. Frameworks that merge software and research methodology can be useful in developing interventions.

Effect of Sustained Smoking Cessation Counseling and Provision of Medication vs Shorter-term Counseling and Medication Advice on Smoking Abstinence in Patients Recently Diagnosed With Cancer: A Randomized Clinical Trial.

Importance: Persistent smoking may cause adverse outcomes among patients with cancer. Many cancer centers have not fully implemented evidence-based tobacco treatment into routine care. Objective: To determine the effectiveness of sustained telephone counseling and medication (intensive treatment) compared with shorter-term telephone counseling and medication advice (standard treatment) to assist patients recently diagnosed with cancer to quit smoking. Design, Setting, and Participants: This unblinded randomized clinical trial was conducted at Massachusetts General Hospital/Dana-Farber/Harvard Cancer Center and Memorial Sloan Kettering Cancer Center. Adults who had smoked 1 cigarette or more within 30 days, spoke English or Spanish, and had recently diagnosed breast, gastrointestinal, genitourinary, gynecological, head and neck, lung, lymphoma, or melanoma cancers were eligible. Enrollment occurred between November 2013 and July 2017; assessments were completed by the end of February 2018. Interventions: Participants randomized to the intensive treatment (n = 153) and the standard treatment (n = 150) received 4 weekly telephone counseling sessions and medication advice. The intensive treatment group also received 4 biweekly and 3 monthly telephone counseling sessions and choice of Food and Drug Administration-approved cessation medication (nicotine replacement therapy, bupropion, or varenicline). Main Outcome and Measures: The primary outcome was biochemically confirmed 7-day point prevalence tobacco abstinence at 6-month follow-up. Secondary outcomes were treatment utilization rates. Results: Among 303 patients who were randomized (mean age, 58.3 years; 170 women [56.1%]), 221 (78.1%) completed the trial. Six-month biochemically confirmed quit rates were 34.5% (n = 51 in the intensive treatment group) vs 21.5% (n = 29 in the standard treatment group) (difference, 13.0% [95% CI, 3.0%-23.3%]; odds ratio, 1.92 [95% CI, 1.13-3.27]; P < .02). The median number of counseling sessions completed was 8 (interquartile range, 4-11) in the intensive treatment group. A total of 97 intensive treatment participants (77.0%) vs 68 standard treatment participants (59.1%) reported cessation medication use (difference, 17.9% [95% CI, 6.3%-29.5%]; odds ratio, 2.31 [95% CI, 1.32-4.04]; P = .003). The most common adverse events in the intensive treatment and standard treatment groups, respectively, were nausea (n = 13 and n = 6), rash (n = 4 and n = 1), hiccups (n = 4 and n = 1), mouth irritation (n = 4 and n = 0), difficulty sleeping (n = 3 and n = 2), and vivid dreams (n = 3 and n = 2). Conclusions and Relevance: Among smokers recently diagnosed with cancer in 2 National Cancer Institute-designated Comprehensive Cancer Centers, sustained counseling and provision of free cessation medication compared with 4-week counseling and medication advice resulted in higher 6-month biochemically confirmed quit rates. However, the generalizability of the study findings is uncertain and requires further research. Trial Registration: ClinicalTrials.gov Identifier: NCT01871506.

Health-related quality of life after treatment of Hodgkin lymphoma in young adults.

PURPOSE/OBJECTIVES: To describe changes in health-related quality of life (HRQOL) and to identify supportive care services used after treatment for Hodgkin lymphoma (HL) in young adults. DESIGN: A longitudinal, repeated-measures study design was used to test the feasibility of data collection at the conclusion of treatment for HL and at one, three, and six months post-treatment. SETTING: Participants were identified from two large comprehensive cancer centers in New England. SAMPLE: 40 young adults with newly diagnosed HL were enrolled in the study prior to the completion of chemotherapy or radiation. METHODS: Data were collected by interviews, standardized questionnaires, and medical record reviews. MAIN RESEARCH VARIABLES: HRQOL variables defined as symptom distress, functional status, emotional distress, and intimate relationships; use of specific supportive care services; and baseline demographic and disease-related information. FINDINGS: Results indicate that symptom distress improved at one month post-treatment and remained low at three and six months. Similarly, functional status improved at one month post-treatment. Only 13% of the sample had significant emotional distress at baseline, and this decreased to 8% over time. Patients placed high value on their intimate relationships (i.e., family and friends or sexual partners). A variety of supportive care services were used after treatment, the most common of which were related to economic issues. However, by six months post-treatment, services shifted toward enhancing nutrition and fitness. CONCLUSIONS: The results from this study suggest that HRQOL in young adults with HL improved one-month post-treatment and that interest in using supportive care services was high. IMPLICATIONS FOR NURSING: Facilitating the use of supportive care services at the end of cancer treatment appears to be an important part of helping young adults transition to survivorship. KNOWLEDGE TRANSLATION: Supportive care services appear to be a vital component of the transition to survivorship and often change over time from an emphasis on economic issues to enhancing wellness through nutrition and fitness programs.

The power of partnership: addressing cancer health disparities through an academic-service partnership.

Partnerships between universities and healthcare organizations help foster interdisciplinary collaboration and can yield programs to address pressing needs in both sectors. In spite of these benefits, such partnerships remain more the exception than the norm. This article describes a partnership between a comprehensive cancer center and a university-based college of nursing and health sciences that serves a diverse student population. With the support of U-56 funding, the 2 organizations collaborated to develop a new, 87-credit BS-to-PhD in Nursing program and to enhance the university's traditional PhD in nursing program. Both PhD programs prepare nurses for careers in teaching, health policy, and research related to cancer health disparities. In addition to an innovative curriculum, the programs include a mentorship that leverages the research expertise and scholarly resources of both organizations and a community outreach component that gives students experience in planning and implementing educational and risk-reduction programs addressing cancer health disparities.

Use of complementary and alternative medicine therapies to control symptoms in women living with lung cancer.

Complementary and alternative medicine (CAM) use by cancer patients, especially women, is increasing. However, CAM use among patients with lung cancer, who have been reported to have the highest symptom burden, is poorly documented. This study describes types and frequencies of specific CAM therapies used by women with lung cancer to manage symptoms, and examines differences in demographic and clinical characteristics between CAM users and non-CAM users. Participants included 189 women with non-small cell lung cancer and > or =1 of 8 symptoms. Six CAM therapies, used to control symptoms, were assessed, including herbs, tea, acupuncture, massage, meditation, and prayer. Forty-four percent (84 women) used CAM therapies, including prayer (34.9%), meditation (11.6%), tea (11.6%), herbs (9.0%), massage (6.9%), and acupuncture (2.6%). Complementary and alternative medicine use was greatest for difficulty breathing and pain (54.8% each), with prayer the most commonly used CAM for all symptoms. Significant differences (P < .05) were found for age (t = 2.24), symptom frequency (t = -3.02), and geographic location (chi = 7.51). Women who were younger, experienced more symptoms, and lived on the West Coast or South (vs Northeast) were more likely to use CAM. We found that CAM use is variable by symptom and may be an indicator of symptom burden. Our results provide important initial data regarding CAM use for managing symptoms by women with lung cancer.