Patient Memory for Psychological Treatment Contents: Assessment, Intervention, and Future Directions for a Novel Transdiagnostic Mechanism of Change

2019 ◽  
Vol 36 (1) ◽  
pp. 1-11
Author(s):  
Garret G. Zieve ◽  
Lu Dong ◽  
Allison G. Harvey

AbstractPatient memory for treatment contents is defined as memory for the ideas, concepts, skills, and/or insights (termed treatment points) that the therapist thinks are important for the patient to remember and implement as a part of therapy. This article reviews key findings on patient memory for treatment contents, describes the development and evaluation of the Memory Support Intervention (MSI), and outlines future directions for research. Patient memory for treatment contents is poor, and worse memory is associated with worse treatment outcome. The MSI is composed of eight memory support strategies that therapists incorporate frequently alongside treatment points delivered during treatment-as-usual. Training therapists to deliver the MSI may yield better treatment outcomes by enhancing patient memory for treatment contents. Future research is needed to understand how to best measure patient memory for treatment contents, and the mediators, moderators, and dissemination potential of the MSI.

2021 ◽  
Vol 10 (18) ◽  
pp. 4152
Author(s):  
Valentijn V. P. Alting van Geusau ◽  
Jeroen D. Mulder ◽  
Suzy J. M. A. Matthijssen

It is useful to investigate factors that could predict treatment outcomes for PTSD. The current study aims to investigate the relationship between daily measured PTSD symptoms during an intensive six-day treatment program and overall post-treatment outcomes. The treatment program combines eye movement desensitization with reprocessing and prolonged exposure, as well as physical activity and psychoeducation. It was expected that for the entire duration of treatment, as well as the first half of the treatment, a greater decline in daily PTSD symptoms would be a predictor for a greater decline in PTSD symptoms at a four-week follow-up. Data from 109 PTSD-patients (87.2% female, mean age = 36.9, SD = 11.5) were used. PTSD symptoms were measured with the CAPS-5 and the self-reported PTSD checklist for DSM-5 (PCL-5). Daily PTSD symptoms were measured with an abbreviated version of the PCL-5 (8-item PCL). Latent growth curve models were used to describe changes in daily PTSD symptoms and predict treatment outcome. Results show that a greater decline in daily PTSD symptoms measured by the 8-item PCL predicts better treatment outcome (CAPS-5 and PCL-5), but that a patient’s PTSD symptoms on the first day of treatment has no predictive effect. A decline in PTSD symptoms only during the first half of treatment was also found to predict treatment outcomes. Future research should be focused on replicating the results of the current study.


Author(s):  
Anna Maria Rosso ◽  
Andrea Camoirano ◽  
Gabriele Schiaffino

Abstract. The aim of this study was to collect a Rorschach Comprehensive System (RCS) adult nonpatient sample from Italy using more stringent exclusion criteria and controlling for psychopathology, taking into account the methodological suggestions of Ritzler and Sciara (2008) . The authors hypothesized that: (a) adult nonpatient samples are not truly psychologically healthy, in that a high number of psychopathological symptoms are experienced by participants, particularly anxiety and depression, although they have never been in psychological treatment; (b) significant differences emerge between healthy and nonhealthy groups on Rorschach variables, particularly on CS psychopathological indexes; (c) RCS psychopathological indexes are significantly correlated in the expected direction with scores on psychopathological scales. The results confirmed the hypotheses, indicating the need to collect psychologically healthy samples in addition to normative and nonpatient samples. Because differences were found in the comparison between Exner’s sample (2007) and the healthy group in this study regarding form quality and coping styles, the authors suggest that future research should investigate the construct validity of ambitent style and culturally specific influences on form quality. Moreover, the Rorschach scientific community needs to have more extensive form quality tables, enriched with objects that are currently not included.


2019 ◽  
Vol 14 ◽  
Author(s):  
Khaleel Ahmad ◽  
Afsar Kamal

Background: Privacy enhancing techniques are developed in order to provide strong protection to cyberspace. These techniques aim to allow users to keep their identities hidden during the communication when they are sending email, making payments online, browsing the Web or posting to newsgroups. MixNet is the most practical solution for concealing identities of message and sender’s identities. Objective: It provides sender and receiver anonymity as well as message security. The main goal of MixNet is to overcome vulnerability and enhance the performance of communication. It can efficiently handle the messages of various length and produce desirable results with privacy. The main objective of this paper is to acquire information and concepts regarding MixNet. We also provide guidelines for future research and references. Methods : The designing of MixNet depends on what cryptosystem method is used. Symmetric and Asymmetric both are used. Other methods could be also used such as PIR, CSP and FDR model, RPC, Token-based approach or others. Result: In this paper we provide an overview of MixNet approaches and presented a survey on MixNet based techniques and different models. We also constructed the comparison tables as per our requirements for better understanding. For this purpose, we found a total of 120 articles related to the MixNet published between 1990 and 2018 from the most relevant scientific resources. However, only 86 papers were analyzed due to comprehensiveness and relevancy to this article. Conclusion: Focused on the security and privacy of communication and how it can be achieved. This survey also reveals research progress and research gap on MixNet.


Author(s):  
Tera D. Letzring

This chapter identifies several well-established findings and overarching themes within personality trait accuracy research, and highlights especially promising directions for future research. Topics include (1) theoretical frameworks for accuracy, (2) moderators of accuracy and the context or situation in which judgments are made, (3) the important consequences of accuracy, (4) interventions and training programs to increase judgmental ability and judgability, (5) the generalizability of previous findings, and (6) standardized tests of the accuracy of judging personality traits. The chapter ends by stating that it is an exciting time to be a researcher studying the accuracy of personality trait judgments.


Author(s):  
Gert Kootstra ◽  
Xin Wang ◽  
Pieter M. Blok ◽  
Jochen Hemming ◽  
Eldert van Henten

Abstract Purpose of Review The world-wide demand for agricultural products is rapidly growing. However, despite the growing population, labor shortage becomes a limiting factor for agricultural production. Further automation of agriculture is an important solution to tackle these challenges. Recent Findings Selective harvesting of high-value crops, such as apples, tomatoes, and broccoli, is currently mainly performed by humans, rendering it one of the most labor-intensive and expensive agricultural tasks. This explains the large interest in the development of selective harvesting robots. Selective harvesting, however, is a challenging task for a robot, due to the high levels of variation and incomplete information, as well as safety. Summary This review paper provides an overview of the state of the art in selective harvesting robotics in three different production systems; greenhouse, orchard, and open field. The limitations of current systems are discussed, and future research directions are proposed.


BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e040238
Author(s):  
Belayneh Kefale ◽  
Amien Ewunetei ◽  
Mulugeta Molla ◽  
Gobezie Temesgen Tegegne ◽  
Amsalu Degu

ObjectivesThis study aimed to assess the clinical pattern and predictors of stroke treatment outcomes among hospitalised patients in Felege Hiwot comprehensive specialised hospital (FHCSH) in northwest Ethiopia.DesignA retrospective cross-sectional study.SettingThe study was conducted medical ward of FHCSH.ParticipantsThe medical records of 597 adult patients who had a stroke were included in the study. All adult (≥18 years) patients who had a stroke had been admitted to the medical ward of FHSCH during 2015–2019 were included in the study. However, patients with incomplete medical records (ie, incomplete treatment regimen and the status of the patients after treatment) were excluded in the study.ResultsIn the present study, 317 (53.1%) were males, and the mean age of the study participants was 61.08±13.76 years. About two-thirds of patients (392, 65.7%) were diagnosed with ischaemic stroke. Regarding clinical pattern, about 203 (34.0%) of patients complained of right-side body weakness and the major comorbid condition identified was hypertension (216, 64.9%). Overall, 276 (46.2%) of them had poor treatment outcomes, and 101 (16.9%) of them died. Patients who cannot read and write (AOR=42.89, 95% CI 13.23 to 111.28, p<0.001), attend primary school (AOR=22.11, 95% CI 6.98 to 55.99, p<0.001) and secondary school (AOR=4.20, 95% CI 1.42 to 12.51, p<0.001), diagnosed with haemorrhagic stroke (AOR=2.68, 95% CI 1.62 to 4.43, p<0.001) and delayed hospital arrival more than 24 hours (AOR=2.92, 95% CI 1.83 to 4.66, p=0.001) were the independent predictors of poor treatment outcome.ConclusionsApproximately half of the patients who had a stroke had poor treatment outcomes. Ischaemic stroke was the most predominantly diagnosed stroke type. Education status, types of stroke and the median time from onset of symptoms to hospitalisation were the predictors of treatment outcome. Health education should be given to patients regarding clinical symptoms of stroke. In addition, local healthcare providers need to consider the above risk factors while managing stroke.


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