Background And Objectives: We described a new treatment model for Posttraumatic Stress Disorder (PTSD) and Dissociative Identity Disorder (DID), based on cognitive-behavioural principles. In this model, dissociation is seen as a maladaptive avoidant coping strategy. In addition, we stress that patients have dysfunctional beliefs about dissociation. Both elements, avoidance behaviour and dysfunctional beliefs, are challenged during the brief, intensive trauma-focused treatment. When the PTSD-symptoms decrease, the patient is offered a fare-well ritual to say goodbye to their identities in one or more additional sessions.
Methods: We illustrate this treatment approach with a case report of a woman with PTSD as a result of sexual abuse in her childhood, and DID with four identities. Treatment outcome was measured at intake, at pre-treatment, at post-treatment and at 3 and 6 months follow-up.
Results: After the short treatment of only 2 weeks, she no longer fulfilled the DSM-5 diagnostic criteria for PTSD nor DID. These results were maintained at the follow-ups.
Limitations: Although we included a baseline-controlled time phase, it was not a controlled study, and only one patient was treated.
Conclusions: This new treatment model for DID-patients is promising but results should be interpreted cautiously since we described only one patient.
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http://dx.doi.org/10.1016/j.jbtep.2021.101655 | DOI Listing |
J Med Internet Res
January 2025
School of Nursing, Anhui Medical University, Hefei, China.
Background: Body image issues are prevalent among individuals diagnosed with cancer, leading to detrimental effects on their physical and psychological recovery. eHealth has emerged as a promising approach for enhancing the body image of patients with cancer.
Objective: The purpose of this study was to evaluate the effectiveness of eHealth interventions on body image and other health outcomes (quality of life, physical symptoms, and emotional distress) among patients with cancer.
Retin Cases Brief Rep
October 2024
Singapore National Eye Centre, Singapore.
Purpose: We describe an atypical presentation of an 11-year-old female with enhanced S-cone syndrome (ESCS).
Methods: Case report. The patient underwent a thorough ophthalmic examination and investigations such as colour fundus photography, optical coherence tomography, fundus autofluorescence, fluorescein and indocyanine angiography, an electroretinogram and genetic testing.
Wounds
December 2024
Smith+Nephew, Watford, Hertfordshire, UK.
Background: Achievement of moisture balance can be a critical factor affecting time to closure of nonhealing wounds, and dry wounds can take much longer to heal than those with high exudate levels. Whether the goal of management is to donate moisture to the wound or control excessive fluid until the cause has been identified and addressed, choice of dressing and other wound management products can affect nursing resources, clinical outcomes, concordance, and quality of life for the patient.
Case Reports: The cases discussed illustrate differences in management approaches for dry and wet wounds and show how clinician support tools (eg, tissue type, infection/inflammation, moisture imbalance, epithelial edge advancement [TIME] clinical decision support tool) can facilitate treatment decisions.
J Craniofac Surg
October 2024
State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University.
Lipomas are benign soft tissue tumors composed of mature adipocytes, commonly found in subcutaneous tissues. Despite their prevalence in various body regions, they are relatively rare in the oral and maxillofacial regions. This study retrospectively analyzed the clinical and imaging characteristics, as well as the treatment outcomes of 57 patients diagnosed with lipoma.
View Article and Find Full Text PDFJ Speech Lang Hear Res
January 2025
Department of Psychology, University of Western Ontario, London, Canada.
Purpose: Recent advances in artificial intelligence provide opportunities to capture and represent complex features of human language in a more automated manner, offering potential means of improving the efficiency of language assessment. This review article presents computerized approaches for the analysis of narrative language and identification of language disorders in children.
Method: We first describe the current barriers to clinicians' use of language sample analysis, narrative language sampling approaches, and the data processing stages that precede analysis.
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