IntroductionThe outcome questionnaire (OQ-45) has been one of the most frequently used instrument to measure clinical outcomes in psychotherapy. Probably due to its subscale structure, its applicability for a variety of disorders and life struggles, its sensitivity to change by repeated measurements and its predictive ability. Given its popularity, OQ-45 has been translated into several languages.ObjectiveAs the Spanish version has not been published, through this poster it is going to show the reliability and the dimensional structure of the OQ-45.MethodOne hundred and thirty-nine patients in clinical settings have completed the Spanish version. Three different confirmatory factor analysis have been calculated to analyze the construct validity.ResultsThe Cronbach Alpha of the instrument was adequate .92, but also, in the three dimensions: symptoms distress (.90), interpersonal relations (.78) and social role (.66). Through the CFA was proved that the Four-factor bi-level model structure [χ2(900) = 3930.47, P < .001, AGF = .86, CFI = .91, RMSEA = .061(.049 to .073)]suited appropriately, in fact, more properly than the three-factor correlated or the three-factor with a second order factor models.DiscussionThe three-factor bi-level model structure of the OQ-45 is confirmed indicating an empirically and clinically relevant measure of client functioning. In this model each item loaded on one of the three subscales originally created. Besides, each item also captures common variance represented by the general factor of overall maladjustment, where this factor may indicate the degree to which respondents are functionally impaired. Thus, OQ-45 is an instrument that could be used for monitoring treatment efficacy and for making informed decisions about clinically significant changes.Disclosure of interestThe authors have not supplied their declaration of competing interest.
Healthcare professionals were especially vulnerable to pandemic, both to become infected and to develop a psychological problem. The aim of this systematic review is to analyze the effectiveness of psychological interventions for healthcare professionals in reducing the experienced psychological impact. From the 405 identified studies, 10 were included in this review. Four databases were searched and the risk of bias of included studies was assessed. The studies considered were randomized controlled trials. The screening and selection process was conducted by two independent reviewers. All studies presented results related with depression, anxiety, and stress during pandemic. Six were delivered using new technologies. The most effective were two psychological interventions with frequent contact and feedback provided by a mental health professional. The psychological interventions compared with non‐intervention groups presented more significant results than those compared with another intervention. The highlights of this systematic review were the urgency of designing effectiveness psychological interventions for healthcare professionals to reduce the emotional burden associate with this job. These interventions should be maintained over the time, supported by a professional and provided from the workplace. These proposals presented promising results but were more psychological resources than psychological interventions.
IntroductionThe assessment of therapeutic outcomes and the evaluation of treatment efficiency and effectiveness is an area of interest for clinicians and researchers. Scientific evidence demands randomized controlled trials and inter-groups comparisons with a minimum number of participants in each treatment modality, a requirement rarely feasible in clinical practice where the assessment of treatment outcomes, with regards to therapeutic goals, is crucial both in terms of statistical significance and clinical relevance.ObjectiveThe aim of this poster is to present an alternative methodology which permits to evaluate the individual's change.MethodThe reliable change index methodology allows for the estimation of statistical significance (statistically reliable change) and clinical relevance (calculation of cutoff points and its interpretation criteria). Two examples are presented: a group of patients with asthma in treatment and a female with major depression who underwent electroconvulsive therapy (ECT).Results/discussionBoth cases were analyzed using standardized statistical analyses and the RCI method in order to estimate clinical change. The results illustrated the adequacy of both procedures for decision making in terms of effectiveness. However the RCI offered greater specificity with regards to individual changes. More specifically, RCI provided a more concrete estimation of the proportion of cases of asthma that showed change after the intervention, and also, indicated if such change were not only statistically significant, but also clinically relevant. Besides, when a single case was assessed (ex: ECT case) this methodology proved useful to estimate the efficacy of a continuation and maintenance program.Disclosure of interestThe authors have not supplied their declaration of competing interest.
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