Information Needs of Men with Localized Prostate Cancer During Radiation Therapy.

The purpose of this study was to describe how patient information needs change over the course of receiving radiation therapy for prostate cancer. Convenience sampling was utilized to recruit men with stage I-III prostate cancer. A longitudinal repeated measures design was implemented for this pilot study. Patients were presented with 36 paired comparisons, each asking the participant to choose the most important information topic(s) for today. Following completion of the survey instruments, the clinic nurse delivered the four top-ranked information topic handouts to each patient with brief instruction on how to use the handouts. Over the course of 6 months, we were able to recruit 35 men. The four highest priority topics across all four sessions were prognosis, stage of disease, treatment options, and side effects. Our results suggest trends in the information priorities that men hold over the course of radiation treatment. The information priorities do appear to shift over time, notably prognosis concerns and risk for family members continued to rise over time, while side effect information declined. These findings will extend an already strong foundation of evidence for preparatory information in radiation therapy. Furthermore, these findings will strengthen current evidence that computerized assessment of patient self-report information is feasible and an important adjunct to clinical practice.

Computerized symptom and quality-of-life assessment for patients with cancer part I: development and pilot testing.

PURPOSE/OBJECTIVES: To develop and test an innovative computerized symptom and quality-of-life (QOL) assessment for patients with cancer who are evaluated for and treated with radiation therapy. DESIGN: Descriptive, longitudinal prototype development and cross-sectional clinical data. SETTING: Department of radiation oncology in an urban, academic medical center. SAMPLE: 101 outpatients who were evaluated for radiation therapy, able to communicate in English (or through one of many interpreters available at the University of Washington), and competent to understand the study information and give informed consent. Six clinicians caring for the patients in the sample were enrolled. METHODS: Iterative prototype development was conducted using a standing focus group of clinicians. The software was developed based on survey markup language and implemented in a wireless, Web-based format. Patient participants completed the computerized assessment prior to consultation with the radiation physician. Graphical output pages with flagged areas of symptom distress or troublesome QOL issues were made available to consulting physicians and nurses. MAIN RESEARCH VARIABLES: Pain intensity, symptoms, QOL, and demographics. INSTRUMENTS: Computerized versions of a 0 to 10 Pain Intensity Numerical Scale (PINS), Symptom Distress Scale, and Short Form-8. FINDINGS: Focus group recommendations included clinician priorities of brevity, flexibility, and simplicity for both input interface and output and that the assessment output contain color graphic display. Patient participants included 45 women and 56 men with a mean age of 52.7 years (SD = 13.8). Fewer than half of the participants (40%) reported using a computer on a regular basis (weekly or daily). Completion time averaged 7.8 minutes (SD = 3.7). Moderate to high levels of distress were reported more often for fatigue, pain, and emotional issues than for other symptoms or concerns. CONCLUSIONS: Computerized assessment of cancer symptoms and QOL is technically possible and feasible in an ambulatory cancer clinic. A wireless, Web-based system facilitates access to results and data entry and retrieval. The symptom and QOL profiles of these patients new to radiation therapy were comparable to other samples of outpatients with cancer. IMPLICATIONS FOR NURSING: The ability to capture an easily interpreted illustration of a patients symptom and QOL experience in less than 10 minutes is a potentially useful adjunct to traditional face-to-face interviewing. Ultimately, electronic patient-generated data could produce automated red flags directed to the most appropriate clinicians (e.g., nurse, pain specialist, social worker, nutritionist) for further evaluation. Such system enhancement could greatly facilitate oncology nurses coordination role in caring for complex patients with cancer.