Background: To maximize the benefit of therapies, patients must understand their condition, recall treatment suggestions and comply with treatments. The Pain Explanation and Treatment Diagram (PETD) is a one-page worksheet that identifies risk factors (health-related habits, sleep, exercise, ergonomics and psychosocial factors) involved in chronic pain. Clinician and patient complete the PETD together, and the clinician notes recommended treatments and lifestyle changes.
Objectives: To examine the effect of use of the PETD on patient recall of diagnostic and treatment information on the sheet.
Methods: The present study was a cross-sectional analysis. Patients with chronic musculoskeletal pain seen by one physiatrist at an outpatient pain clinic in a university-affiliated hospital between 2009 and 2012 (all of whom received the PETD) were eligible. A structured telephone interview lasting approximately 1 h was used to determine recall of PETD diagnostic and treatment information.
Results: Of the 84 eligible patients, 46 were contacted and 29 completed the telephone interview. Participants recalled an average of 12.2% (95% CI 7.8% to 17.4%) of items without prompting and 48.5% (95% CI 42.0% to 53.5%) when prompted. Participants who referred to the PETD at home (n=13) recalled significantly more items than those who did not (n=15) (17.6% [95% CI 11.1% to 23.9%] versus 5.2% [95% CI 3.0% to 14.5%], P=0.004); when prompted, the rates increased to 54.3% (95% CI 48.3% to 61.2%) and 41.2% (95% CI 34.7% to 50.7%), respectively (P=0.032).
Conclusions: The PETD is a promising, feasible and inexpensive tool that can improve patients' recall of diagnostic- and treatment-related information.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4447158 | PMC |
http://dx.doi.org/10.1155/2015/897293 | DOI Listing |
Clin Exp Med
January 2025
Department of Clinical Oncology, Maria Sklodowska-Curie National Research Institute of Oncology, Krakow Branch, Poland.
Immune checkpoint inhibitors have improved the treatment of metastatic renal cell carcinoma (RCC), with the combination of nivolumab (NIVO) and ipilimumab (IPI) showing promising results. However, not all patients benefit from these therapies, emphasizing the need for reliable, easily assessable biomarkers. This multicenter study involved 116 advanced RCC patients treated with NIVO + IPI across nine oncology centers in Poland.
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View Article and Find Full Text PDFClin Oral Investig
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Fujian Key Laboratory of Oral Diseases & Stomatological Key lab of Fujian College and University, School and Hospital of Stomatology, Fujian Medical University, Fuzhou, Fujian Province, 350002, China.
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Neurosurg Rev
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Department of Neurosurgery, Mount Sinai Hospital, Icahn School of Medicine, New York City, NY, USA.
Currently, the World Health Organization (WHO) grade of meningiomas is determined based on the biopsy results. Therefore, accurate non-invasive preoperative grading could significantly improve treatment planning and patient outcomes. Considering recent advances in machine learning (ML) and deep learning (DL), this meta-analysis aimed to evaluate the performance of these models in predicting the WHO meningioma grade using imaging data.
View Article and Find Full Text PDFClin Oral Investig
January 2025
Department of Endodontics, Texas A&M College of Dentistry, Dallas, Texas, USA.
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