14 research outputs found
Feasibility assessment of patient reporting of symptomatic adverse events in multicenter cancer clinical trials
IMPORTANCE: In cancer clinical trials, symptomatic adverse events (AEs), such as nausea, are reported by investigators rather than by patients. There is increasing interest to collect symptomatic AE data via patient-reported outcome (PRO) questionnaires, but it is unclear whether it is feasible to implement this approach in multicenter trials. OBJECTIVE: To examine whether patients are willing and able to report their symptomatic AEs in multicenter trials. DESIGN, SETTING, AND PARTICIPANTS: A total of 361 consecutive patients enrolled in any 1 of 9 US multicenter cancer treatment trials were invited to self-report 13 common symptomatic AEs using a PRO adaptation of the National Cancer Instituteâs Common Terminology Criteria for Adverse Events (CTCAE) via tablet computers at 5 successive clinic visits. Patient adherence was tracked with reasons for missed self-reports. Agreement with clinician AE reports was analyzed with weighted Îș statistics. Patient and investigator perspectives were elicited by survey. The study was conducted from March 15, 2007, to August 11, 2011. Data analysis was performed from August 9, 2013, to March 21, 2014. RESULTS: Of the 361 patients invited to participate, 285 individuals enrolled, with a median age of 57 years (range, 24-88), 202 (74.3%) female, 241 (85.5%) white, 73 (26.8%) with a high school education or less, and 176 (64.7%) who reported regular internet use (denominators varied owing to missing data). Across all patients and trials, there were 1280 visits during which patients had an opportunity to self-report (ie, patients were alive and enrolled in a treatment trial at the time of the visit). Self-reports were completed at 1202 visits (93.9% overall adherence). Adherence was highest at baseline and declined over time (visit 1, 100%; visit 2, 96%; visit 3, 95%; visit 4, 91%; and visit 5, 85%). Reasons for missing PROs included institutional errors in 27 of 48 (56.3%) of the cases (eg, staff forgetting to bring computers to patients at visits), patients feeling âtoo illâ in 8 (16.7%), patient refusal in 8 (16.7%), and internet connectivity problems in 5 (10.4%). Patient-investigator CTCAE agreement was moderate or worse for most symptoms (most Îș < 0.05), with investigators reporting fewer AEs than patients across symptoms. Most patients believed that the system was easy to use (234 [93.2%]) and useful (230 [93.1%]), and investigators thought that the patient-reported AEs were useful (133 [94.3%]) and accurate (119 [83.2%]). CONCLUSIONS AND RELEVANCE: Participants in multicenter cancer trials are willing and able to report their own symptomatic AEs at most clinic visits and report more AEs than investigators. This approach may improve the precision of AE reporting in cancer trials
Progressive language impairment without dementia: a case with isolated category specific semantic defect.
Managing and transforming policy stigmas in international finance: Emerging markets and controlling capital inflows after the crisis
The past three decades have shown the increasing importance of the efforts of the international financial community to socialize emerging markets to accept norms of financial governance. Social sanctions often have been used to mark non-compliant states and their policies as deviant. Yet, we know little about how deviant states strategically manage such policy stigmas in international finance and how this management shapes the international normative order. Recent scholarship in international relations suggests that stigma management strategies tend to either reinforce or fracture the international normative order. This article, by contrast, contends that such strategies also have the potential to transform the international normative order so that it resembles more closely the preferences of the deviant. This argument is illustrated using evidence drawn from Brazil and South Korea's management of the policy stigma associated with controls on capital inflows