View clinical trials related to Expectations.
Filter by:The purpose of this study is to test if priming expectations of transcranial Direct Current Stimulation (tDCS) can improve the efficacy of tDCS in enhancing motor learning.
Expectations are a major driver of changes in health-related outcomes and are related to reduced pain after medical treatment. However, no studies have specifically addressed the role of expectations in connection with the success of interventional pain techniques and the specific effect of expectations on diagnostic and therapeutic procedures in this field. Further, there are no studies on prolonged pain reduction after diagnostic nerve blocks. This prospective cohort study will investigate patients' outcome-related expectations measured by validated questionnaires (i.a. the Expectation for Treatment Scale) before standardized diagnostic nerve blocks (i.e. lumbar medial branch and greater occipital nerve blocks) and their association with immediate pain reduction, calculated using a numeric rating scale (NRS) before and after the block. Secondary outcomes are specificity of pain relief duration in relation to the local anesthetic, changes in pain-related interference, quality of life and function, as well as patients' global impression of change after one week in order to assess possible therapeutic effects of the nerve blocks themselves. The sample size of 110 patients is based on a power of 80% and a significance level of 0.05. Additional endpoints will be evaluated using mixed-effects linear regression, non-linear relationships between expectation and endpoints will be modelled using fractional polynomials. This research will quantify the effect of patients' expectations on pain reduction after nerve blocks, extend our knowledge which patients are likely to respond to interventional pain treatments and under which circumstances nerve blocks may exhibit therapeutic effects.
Various studies have shown that a more positive outcome expectation can have an influence on the actual treatment outcome of outpatient psychotherapeutic treatments. Therefore, the aim of this online study is to investigate whether [1] the patients' outcome expectation of outpatient psychotherapy can be optimized by a brief nonguided online intervention and whether [2] this intervention can influence important factors of psychotherapy, such as active cooperation, the therapeutic relationship, motivation, and regular attendance to therapy. To examine these questions, patients who are waiting for outpatient therapy will be randomized into two groups (control vs. intervention group) after baseline assessment. The intervention group will participate in a brief therapy preparation (30 minutes) that focuses on optimizing outcome expectations. Both groups will fill out questionnaires again on the following day, during the diagnostic phase at the beginning of therapy and six months later (or at the end of therapy in case therapy ends before the 6-month-follow-up). Furthermore, therapists will also fill out questionnaires during the diagnostic phase at the beginning of therapy and six months later (or at the end of therapy in case therapy ends before the 6-month-follow-up).
Investigators hypothesize that patients with higher expectations regarding their epidural injection experience a higher pain reduction of their lower back pain and/or leg pain after an epidural injection. Patients' expectations of an epidural injection can influence their level of pain reduction. The primary objective of this study is to investigate the prognostic significance of patient expectations on pain reduction after epidural injections ('expected benefits', see under) in patients with low back pain and/or leg pain. Investigators furthermore hypothesize that patients that have a higher match between their expectations of improvement and actual improvement are more satisfied. A secondary objective of this study is to investigate the prognostic significance of a high match between expectations of improvement and actual improvement on patient satisfaction of the treatment.
Antidepressant medication is established as an evidence-based, guideline-recommended treatment for Major Depressive Disorders. In the past decades, prescriptions of antidepressant medication have markedly increased, with a specific surge in maintenance prescriptions and therefore, long-term intake, despite guideline recommendations to discontinue antidepressant medication after maintenance therapy has been completed. Over half of fully remitted patients who attempt to discontinue their antidepressant medication report adverse discontinuation symptoms. For many patients, discontinuation symptoms are so severe, that they do not manage to complete their discontinuation attempt. While discontinuation symptoms, deterioration of depressive symptoms, and recurrence can result from pharmacological effects of antidepressant discontinuation, patients' expectations towards discontinuation are likely to play an essential role in occurrence, too. The aim of the present study is to explore the interplay of expectations and pharmacological effects in antidepressant discontinuation. Participants who fulfill German national S3 guideline recommendations will receive a 1:1 chance to either discontinue their antidepressant medication or remain on their antidepressant medication. In addition, participants' expectations are intended to be manipulated by varying verbal instructions using the open-hidden paradigm. Within the open trial arms, participants will receive full information about their treatment (i.e., high expectation). Within the hidden trial arms, participants will be informed about a 50% chance of discontinuing versus remaining on their antidepressant medication (i.e., moderate expectation). Participants will have a 1:1:1:1 chance of being allocated to 1 of the 4 experimental groups: open discontinuation (OD), hidden discontinuation (HD), open continuation (OC), or hidden continuation (HC) of their antidepressant medication. This preregistration is part of the collaborative research center (CRC) SFB/TRR289 which aims to characterize the psychological and neurobiological effects of treatment expectations on health outcome (https://treatment-expectation.de) and is funded by the Deutsche Forschungsgemeinschaft (DFG).
This study will assess patients expectations pre-op and assess their views on their outcome at one year follow up
It has been widely recognized that the placebo effect has a profound impact on treatment outcome in many different conditions. Recent studies imply that this effect appears even if placebos are openly administered; so called "open-label placebos" (OLP). Compelling evidence suggests the efficacy of OLP in the treatment of pain disorders, neuropsychological syndromes, menopausal hot flushes, depression and allergic rhinitis. Research on the underlying mechanisms of OLP is scarce, yet studies indicate that psychological mechanisms as well as neurobiological processes related to expectation- and prediction mechanisms may play a role. While these effects have been linked to OLP as additional treatment, to date, it has not been examined whether OLP could support discontinuation of drug treatments. Antidepressant discontinuation has been frequently associated with negative side effects, interfering with the discontinuation process and generally discouraging discontinuation. Patients frequently report negative expectations towards the discontinuation process, such as fear of experiencing a relapse and negative side effects. Interestingly, OLP may support antidepressant discontinuation, not only through the generation of (positive) expectations, but also mechanisms related to habituation (i.e. taking pills). The objective of this study is to investigate whether OLP is efficacious in reducing negative side effects caused by discontinuation of antidepressant medication. This preregistration is part of the collaborative research center (CRC) SFB/ TRR289 which aims to characterize the psychological and neurobiological effects of treatment expectations on health outcome (https://treatment-expectation.de) and is funded by the Deutsche Forschungsgemeinschaft (DFG).