The PREEMPT study - evaluating smartphone-assisted n-of-1 trials in patients with chronic pain: study protocol for a randomized controlled trial.

BACKGROUND: Chronic pain is prevalent, costly, and clinically vexatious. Clinicians typically use a trial-and-error approach to treatment selection. Repeated crossover trials in a single patient (n-of-1 trials) may provide greater therapeutic precision. N-of-1 trials are the most direct way to estimate individual treatment effects and are useful in comparing the effectiveness and toxicity of different analgesic regimens. The goal of the PREEMPT study is to test the 'Trialist' mobile health smartphone app, which has been developed to make n-of-1 trials easier to accomplish, and to provide patients and clinicians with tools for individualizing treatments for chronic pain. METHODS/DESIGN: A randomized controlled trial is being conducted to test the feasibility and effectiveness of the Trialist app. A total of 244 participants will be randomized to either the Trialist app intervention group (122 patients) or a usual care control group (122 patients). Patients assigned to the Trialist app will work with their clinicians to set up an n-of-1 trial comparing two pain regimens, selected from a menu of flexible options. The Trialist app provides treatment reminders and collects data entered daily by the patient on pain levels and treatment side effects. Upon completion of the n-of-1 trial, patients review results with their clinicians and develop a long-term treatment plan. The primary study outcome (comparing Trialist to usual care patients) is pain-related interference with daily functioning at 26 weeks. DISCUSSION: Trialist will allow patients and clinicians to conduct personalized n-of-1 trials. In prior studies, n-of-1 trials have been shown to encourage greater patient involvement with care, which has in turn been associated with better health outcomes. mHealth technology implemented using smartphones may offer an efficient means of facilitating n-of-1 trials so that more patients can benefit from this approach. TRIAL REGISTRATION: ClinicalTrials.gov: NCT02116621 , first registered 15 April 2014.

Potential antidepressant overtreatment associated with office use of brief depression symptom measures.

BACKGROUND: Use of brief depression symptom measures for identifying or screening cases may help to address depression undertreatment, but whether it also leads to diagnosis and treatment of patients with few or no symptoms-a group unlikely to have major depression or benefit from antidepressants-is unknown. We examined the associations of use of a brief depression symptom measure with depression diagnosis and antidepressant recommendation and prescription among patients with few or no depression symptoms. METHODS: We conducted exploratory observational analyses of data from a randomized trial of depression engagement interventions conducted in primary care offices in California. Analyses focused on participants scoring <10 on a study-administered 9-item Patient Health Questionnaire (PHQ-9) (completed immediately before an office visit and not disclosed to the provider) with complete chart review data (n = 595). We reviewed visit notes for evidence of practice administration of a brief symptom measure (independent of the trial) and whether the provider (1) diagnosed depression or (2) recommended and/or prescribed an antidepressant. RESULTS: Among the 545 patients without a practice-administered measure, 57 (10.5%) had a visit diagnosis of depression; 9 (1.6%) were recommended and another 21 (3.8%) prescribed an antidepressant. Among the 50 patients (8.4% of total sample) with a practice-administered measure, 10 (20%) had a visit diagnosis of depression; 6 (12%) were recommended and another 6 (12%) prescribed an antidepressant. Adjusting for nesting within providers, trial intervention, stratification variables, and sample weighting, use of a brief symptom measure was associated with depression diagnosis (adjusted odds ratio, 3.2; 95% confidence interval, 1.1-9.2) and antidepressant recommendation and/or prescription (adjusted odds ratio, 3.80; 95% confidence interval, 1.0-13.9). Analyses using progressively lower PHQ-9 thresholds (<9 to <5) and examining antidepressant prescription alone yielded consistent findings. Analyses by practice-administered measure (PHQ-9 vs PHQ-2) indicated the study findings were largely associated with PHQ-9 use. CONCLUSIONS: These exploratory findings suggest administration of brief depression symptom measures, particularly the PHQ-9, may be associated with depression diagnosis and antidepressant recommendation and prescription among patients unlikely to have major depression. If these findings are confirmed, researchers should investigate the balance of benefits and risks (eg, overdiagnosis of depression and overtreatment with antidepressants) associated with use of a brief symptom measure.

The impact of patient-physician Web messaging on provider productivity.

Patients increasingly want electronic access to providers, but physicians have been slow to offer e-access, fearing they will be overwhelmed by unreimbursed patient messages. This article reports on efforts to measure how patient-provider Web messaging affects physician productivity. To measure productivity, researchers analyzed the work of a group of physicians using a secure Web messaging system, compared with a control group that did not use the system. Results showed that physicians using the electronic media to communicate had about a 10 percent increase in productivity. Secure Web messaging's benefits also outweigh those of e-mail in increasing productivity and allaying concerns of physicians.

Patient-physician web messaging. The impact on message volume and satisfaction.

BACKGROUND: Patients want electronic access to providers. Providers fear being overwhelmed by unreimbursed messages. OBJECTIVE: Measure the effects of patient-physician web messaging on primary care practices. DESIGN/SETTING: Retrospective analysis of 6 case and 9 control internal medicine (IM) and family practice (FP) physicians' message volume, and a survey of 5,971 patients' web messaging with 267 providers and staff in 16 community primary care clinics in the Sacramento, CA region. MEASUREMENTS AND MAIN RESULTS: Case telephone volume was 18.2% lower (P=.002) and fell 6.50 times faster than control. Case total telephone plus web message volume was 13.7% lower (P=.025) and fell 5.84 times faster than control. Surveys were responded to by 40.3% (1,743/4,320) of patients and 61.4% (164/267) of providers and staff. Patients were overwhelmingly satisfied and providers and staff were generally satisfied; both found the system easy to use. Patient satisfaction correlated strongly with provider response time (Gamma=0.557), and provider/staff satisfaction with computer skills (Gamma=0.626) (Goodman-Kruskal Gamma [Gamma] measure of ordinal association). CONCLUSIONS: Secure web messaging improves on e-mail with encryption, access controls, message templates, customized message and prescription routing, knowledge content, and reimbursement. Further study is needed to determine whether reducing telephone traffic through the use of web messaging decreases provider interruptions and increases clinical efficiency during the workday. Satisfaction with web messaging may increase patient retention.