Scientific Global Nursing Hackathon Experience.

BACKGROUND: Hackathons are organized to bring together both experienced and novice individuals from a variety of backgrounds to brainstorm creative solutions to complex issues. Hackathons may last from a few hours to a few days and may provide rewards for winning entries. PURPOSE: In this article, we describe an experience with a scientific hackathon at an international nursing research congress in Calgary, Canada. We discuss the purpose, process, benefits, and challenges of this hackathon. APPROACH: For this article, we have used a descriptive approach. OUTCOMES: The scientific hackathon experience united international nursing scholars into a community with a common focus enabling the continuation of mutual, future endeavors. CONCLUSION: Hackathons are a means of connecting novices and experts from different backgrounds to develop technology-based solutions for health care issues. The ideas generated at hackathons may be further developed to bring the project to fruition to positively impact health care.

What symptoms are important to patients? Developing a symptom burden measure for women with breast cancer.

PURPOSE: The American Cancer Society predicted that 266,120 women would be diagnosed with breast cancer in 2018. Women experience significant symptom burden in response to tumor and treatment-related adverse effects, particularly in advanced disease. Use of valid and reliable patient-reported outcomes (PRO) symptom measures may assist clinicians in systematically monitoring and managing symptoms. The MD Anderson Symptom Inventory (MDASI) is a brief PRO measure of cancer symptom burden; specific symptoms can be added to the core symptoms to produce disease- and treatment-specific modules. The purpose of this study was to describe the patient symptom experience, define the content domain, and generate items for a breast cancer-specific MDASI module for measuring symptom burden in women with breast cancer. METHODS: Women with breast cancer were qualitatively interviewed about their experiences of disease and treatment. Descriptive exploratory analysis identified symptoms and symptom interference to define the symptom burden of breast cancer. An expert panel rated the relevance of the identified symptoms to patients with breast cancer. RESULTS: A conceptual model of breast cancer symptom burden was developed from interviews with 36 women (mean age of 57.9 years, 86.1% had stages I-III, and 52.8% were on chemotherapy and/or radiation therapy) across the breast cancer disease and treatment trajectory. Thirty-six symptoms and 6 interference categories were identified. Symptoms specific to treatment modalities and breast cancer met the criteria for inclusion in the provisional instrument for psychometric testing. CONCLUSIONS: We generated an instrument with content validity for measuring symptom burden specific to women with breast cancer.