Tablet-based cognitive behavioral intervention to improve arthritis associated fatigue: A pilot study.

This pilot study evaluated the effect of the tablet-based cognitive behavioral intervention ("Tab-CBI") on daily steps, fatigue, and self-efficacy. Tab-CBI combined simple walking and a cognitive behavioral approach. An experimental pretest-posttest repeated measures design was used with 24 older adults. RM-ANOVA results showed a significant group difference (Tab-CBI vs. Comparison), F (1, 22) = 2.25, p =0.048 and time difference (baseline vs. week 4 vs. week 6), F (2, 44) =5.04, p =0.01 in daily steps. There was no significant group difference, F (1, 22) = 2.99, p =0.09, but significant time difference existed, F (2, 44) =2.65, p =0.04 in the PROMIS Fatigue scores. In the PROMIS Self-efficacy scores, no significant group difference, F (1, 22) = 0.02, p =0.90) was found, but significant time difference existed, F (2, 44) =3.27, p = 0.04. The findings provide preliminary evidence for the positive impact of Tab-CBI, but should be interpreted cautiously.

Usability testing of tablet-based cognitive behavioral intervention application to improve a simple walking activity for older adults with arthritis fatigue.

The purpose of this study was to test usability of a tablet-based cognitive behavioral intervention ("Tab-CBI") application. Tab-CBI was designed to improve a simple walking activity for older adults with arthritis fatigue. Two phases of usability evaluation were conducted: phase I with 5 older adults to identify any initial design issues and phase II with 10 older adults to examine if Tab-CBI was seamlessly integrated into their daily living. Participants perceived that Tab-CBI was easy, light, and intuitive to use and helped them walking. They reported two key benefit as a motivator to make more active in walking and improved confidence of self-management of fatigue. They referred video recordings and videoconferencing communications as two preferable features. There were also comments for improvement, for example, a challenge for holding a tablet when videoconferencing communications. Participants comments were incorporated into a final version of Tab-CBI to prepare for a future pilot study.

Developing an Innovative Tablet-Based Walking Program to Improve Arthritis Fatigue.

Fatigue associated with arthritis is highly prevalent and interferes with patients' daily routines. An interdisciplinary research team developed the Tablet-based Cognitive Behavioral Intervention (Tab-CBI) for older adults with arthritis fatigue. The goal of the Tab-CBI is to alleviate fatigue by promoting a simple walking activity. The Tab-CBI application used off-the-shelf technologies and was implemented on a mini-tablet computer. The four key components of Tab-CBI are: (a) multimedia cognitive-behavioral therapy (CBT)-based educational modules; (b) videoconferencing communication; (c) individualized goal setting; and (d) electronic data submission. Experts perceived that the Tab-CBI was engaging and user friendly, and effective in improving simple walking routines and alleviating fatigue. Experts' feedback was incorporated into refining the Tab-CBI. The current study demonstrated that the Tab-CBI has potential to be a useful innovation for fatigue management in older adults. [Journal of Gerontological Nursing, 46(10), 13-18.].

Evidence-based practice day: an innovative educational opportunity.

To maximize patient outcomes, the latest research and practice updates must be disseminated across the patient care continuum to include all members of the nursing team. The Clinical Research Council (CRC) recognized the need to bridge the gap between nursing research and practice, using evidence to decrease variation in practice. To meet this challenge, a Magnet-designated, rural community hospital developed an innovative educational program. This article describes Evidence-Based Practice (EBP) day, an interactive learning environment that engages nursing staff and strengthens their understanding of the science that guides practice. Topics for inclusion were selected based on staff requests, current research, quality improvement data, and institutional priorities. Evidence was provided in a format that supported rapid implementation into practice. Key components of the program included a clinical scenario, internal and external data, nursing interventions, patient outcomes (nursing-sensitive and organizational), and regulatory requirement updates.