Background Patients with irritable bowel syndrome (IBS) experience abdominal pain, altered bowel habits, and defecation-related anxiety, which can result in reduced productivity and impaired health-related quality of life (HRQL). Cognitive behavioral therapy (CBT) has been shown to reduce symptoms of IBS and to improve HRQL, but access to qualified therapists is limited. Smartphone-based digital therapeutic interventions have potential to increase access to guided CBT at scale, but require careful study to assess their benefits and risks. Objective The aim of this study was to test the efficacy of a novel app, Zemedy, as a mobile digital therapeutic that delivers a comprehensive CBT program to individuals with IBS. Methods This was a crossover randomized controlled trial. Participants were recruited online and randomly allocated to either immediate treatment (n=62) or waitlist control (n=59) groups. The Zemedy app consists of 8 modules focusing on psychoeducation, relaxation training, exercise, the cognitive model of stress management, applying CBT to IBS symptoms, reducing avoidance through exposure therapy, behavioral experiments, and information about diet. Users interact with a chatbot that presents the information and encourages specific plans, homework, and exercises. The treatment was fully automated, with no therapist involvement or communication. At baseline and after 8 weeks, participants were asked to complete the battery of primary (Irritable Bowel Syndrome Quality of Life [IBS-QOL], Gastrointestinal Symptom Rating Scale [GSRS]) and secondary (Fear of Food Questionnaire [FFQ], Visceral Sensitivity Index [VSI], Gastrointestinal Cognition Questionnaire [GI-COG], Depression Anxiety Stress Scale [DASS], and Patient Health Questionnaire-9 [PHQ-9]) outcome measures. Waitlist controls were then offered the opportunity to crossover to treatment. All participants were assessed once more at 3 months posttreatment. Results Both intention-to-treat and completer analyses at posttreatment revealed significant improvement for the immediate treatment group compared to the waitlist control group on both primary and secondary outcome measures. Gains were generally maintained at 3 months posttreatment. Scores on the GSRS, IBS-QoL, GI-COG, VSI, and FFQ all improved significantly more in the treatment group (F1,79=20.49, P<.001, Cohen d=1.01; F1,79=20.12, P<.001, d=1.25; F1,79=34.71, P<.001, d=1.47; F1,79=18.7, P<.001, d=1.07; and F1,79=12.13, P=.001, d=0.62, respectively). Depression improved significantly as measured by the PHQ-9 (F1,79=10.5, P=.002, d=1.07), and the DASS Depression (F1,79=6.03, P=.02, d=.83) and Stress (F1,79=4.47, P=.04, d=0.65) subscales in the completer analysis but not in the intention-to-treat analysis. The impact of treatment on HRQL was mediated by reductions in catastrophizing and visceral sensitivity. Conclusions Despite its relatively benign physical profile, IBS can be an extraordinarily debilitating condition. Zemedy is an effective modality to deliver CBT for individuals with IBS, and could increase accessibility of this evidence-based treatment. Trial Registration ClinicalTrials.gov NCT04170686; https://www.clinicaltrials.gov/ct2/show/NCT04170686

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Patients seeking total joint arthroplasty frequently undergo preoperative optimization with the assistance of nurse navigators to facilitate interactions between patients, consulting services, and the orthopaedic surgical team. Given the enormous impact nurse navigator programs have on reducing postoperative complications, our aim is to characterize the involvement of nurse navigators in preoperative optimization programs across the country. We conducted a survey of nurse navigators identified through the National Association of Orthopaedic Nurses to assess the involvement of nurse navigators in the preoperative optimization process. Sixty-seven percent of responding nurse navigators were involved in preoperative optimization, including components such as heart disease (53%) and poorly controlled diabetes (52%). Orthopaedic nurse navigators are commonly involved in preoperative optimization programs for total joint arthroplasty but most of these involve gated yes/no checklists with limited established referral care pathways. Only some of the programs include standardized referrals for specific medical comorbidities.

Preoperative optimization programs are becoming more common for patients seeking total joint arthroplasty; yet, limited research has been conducted to monitor the long-term effects of these programs on patient outcomes. Our aim was to develop a set of metrics that programs can use to monitor the success of preoperative optimization programs. As part of a larger survey of orthopaedic nurses, we collected data regarding current monitoring techniques for preoperative optimization programs and the feasibility of collecting specific variables. Surgical factors such as length of stay and 30-day readmissions were most often used to monitor the success of preoperative optimization programs. Surgical factors were the most likely to be accessible using the electronic medical record. Surgical factors and patient characteristics are the most feasible components for programs to monitor in order to track the outcomes of patients participating in preoperative optimization programs.