No abstract

Objectives Health services to date have inadequately addressed the physical and mental health needs of patients with medically unexplained symptoms. This qualitative study evaluates a piloted facilitated support group (FSG) developed for patients with medically unexplained symptoms to inform recommendations and resources for this patient population. Methods Using a qualitative descriptive design, we conducted and thematically analyzed semi-structured interviews with participants (n = 8) and facilitators (n = 4) to explore their experiences of the facilitated support group. Common themes that captured strengths and challenges of the facilitated support group were identified. Results The following key themes were identified through analysis of the data: Participants described 1) feeling validated through sharing similar experiences with peers; 2) learning practical symptom management and coping strategies; and 3) gaining new perspectives for navigating conversations with PCPs. Conclusions Our findings show that a facilitated support group may provide additional forms of support and resources for patients with medically unexplained symptoms, filling a gap in currently available clinical care offered by health care professionals. Potential implications: This paper highlights lessons learned that can inform the design and delivery of future supports and resources directed toward optimizing patient care for this underserved patient population. Our findings are relevant to those who are involved in direct patient care or involved in designing and implementing self-management programs.

The Ohmeda 3700 pulse oximeter provides trend data storage of arterial oxygen saturation (SaO2) and pulse rate measurements for a maximum of 8 hours. This feature allows the oximeter to be used as a stand-alone unit for overnight studies of saturation during sleep. Subsequent transfer and processing of the stored SaO2 data requires additional software. We present a program for data processing that uses the Lotus 1-2-3 program on IBM and compatible microcomputers and that performs a data distribution and statistical analysis on these trend data and presents them in graphic form. Processing SaO2 trend data within the Lotus 1-2-3 worksheet format allows the user to easily add to or modify the program presented here, depending on individual needs.