View clinical trials related to PROMs.
Filter by:The purpose of this study is to translate and culturally adapt the subscale of the Knee Injury and Osteoarthritis Outcome Score for patellofemoral pain and osteoarthritis (KOOS-PF) into Turkish, and to determine the measurement properties of the Turkish version.
The utilization of patient reported outcome measures (PROMs) during in-person care allows for on-going assessment of the severity of mental illness and patient outcomes across treatment. Additionally, it provides immediate feedback on the patient's psychiatric status to both the patient and practitioner. Carilion Clinic - Psychiatry & Behavioral Medicine ambulatory clinic implemented PROMs prior to the start of the COVID-19 (Coronavirus Disease 2019) pandemic and continues to utilize them as part of patient care. All new patients are asked to complete an initial PROM bundle of assessments 24 hours before their initial appointment, including the Brief Adjustment Scale, Patient Health Questionnaire, Generalized Anxiety Disorder survey, US Alcohol Use Disorder Identification Test, and Drug Assessment Screening Test. Automatic monthly reminders to complete the assessments continue after the first visit with the clinician. Over the last 2 years, research members of Carilion Clinic Psychiatry and Virginia Tech Psychology have been actively using PROM data to assess psychiatric health outcomes before and after the outbreak of COVID-19 in the United States. Initial results indicate that patients who received care via telepsychiatry not only did not experience worsening symptoms, but showed improvements in depression, anxiety and psychological functioning. However, without a control group of untreated patients to compare, the impact of telepsychiatry plus PROMs remains unclear. A waitlist control group design would allow investigators to compare patients receiving telepsychiatry and repeated completion of PROMs (current practice) to patients referred to psychiatry, but not receiving telepsychiatry treatment or completing PROMs during the same period. In this study, investigators plan to randomize individuals on the waitlist to one of two groups to assess the influence of time alone awaiting initial psychiatric clinician assessment (no intervention) versus minimal intervention using repeated PROMs and microlearning patient education videos while awaiting initial psychiatric clinician assessment. This kind of design allows assessment for the influence of time and the type of health service contact that replicates the basics of measurement-based psychiatric services (measurement of symptomology and well-being), but with none of the benefits of psychiatric supports, interventions, and techniques.
During the COVID-19 pandemic, patients with cancer are subject to multiple risks (e.g. frequent hospital visits, increased infection risk, more severe clinical course, discontinued cancer treatment etc.). Patients undergoing cancer therapy are also faced with several Quality of Life - impairing side effects. In the case of a positive COVID-19 cancer patient, the need and intensity of treating must be weighed against the possible higher risk of developing severe complications in the course of a COVID-19 infection. Nevertheless, both for COVID-19 positive and negative patients who will continue or discontinue cancer treatment throughout the pandemic, providing supportive care is more important than ever. Digitally monitoring patient-reported outcome measures (PROMs) could offer a solution to improve the supportive care measures during cancer treatment, and certainly in times of COVID-19. Digitalized PROMS could significantly contribute to improved communication, patient satisfaction, supportive care, monitoring of cancer treatment, and detection of problems. To date, clinical trials investigating the benefits of digital PROMS in patients with cancer during the current COVID-19 pandemic are lacking. At the Jessa Hospital, the investigators already have experience in collecting PROMs via a digital platform (Awell Health) since 2019 for patients with breast cancer undergoing chemotherapy using validated QoL questionnaires. The overall aim of this project is to prospectively evaluate the impact of a COVID-19 infection on the severity of the cancer therapy-related complications and the QoL of patients with cancer undergoing chemotherapy using a digital PROMs-platform.
Main indications for distal pancreatectomy (DP) are pancreatic body and tail tumors including ductal adenocarcinoma, neuroendocrine tumors, and cystic neoplasms. Despite a less invasive operation with lower morbidity compared to pancreatic head surgery, DP is burdened by the occurrence of clinically-relevant postoperative pancreatic fistula (CR-POPF) in a significant proportion of patients. Drain fluid amylase (DFA) on POD 1 (postoperative day 1) > 2,000 U/L appears as the best performing threshold to predict the occurrence of CR-POPF after distal pancreatectomy. Although there is preliminary evidence that early drain removal in the subgroup of patients with DFA1 < 2,000 U/L may reduce POPF, no prospective study has yet evaluated the impact of an early drain removal strategy compared to standard management. The research question of this study is to evaluate to what extent early postoperative drain removal according to a validated DFA1 impact on clinically-relevant POPF rate after distal pancreatectomy in comparison to standard drain management. The primary hypothesis is that, early drain removal will result in a reduced proportion of patients experiencing grade B-C POPF according to ISGPS definition. The proposed study is a two-group, assessor-blind, randomized trial. Participants will be randomly assigned with a 1:1 ratio into one of two groups: (1) standard drain management or (2) early drain removal strategy. In this study adults (>18 years) patients with pancreatic body or tail diseases planned for distal pancreatectomy with or without splenectomy will be enrolled.The primary outcome is the POPF at 90 days after surgery, defined as grade B or C POPF according to ISGPS definition. Participants will be asked to complete some questionnaires in order to assess their general health status, and they will be evaluated at time of hospital admission, at 15 days, at 30 days after surgery (via telephone follow-up), and at 90 days after surgery (via telephone follow-up).
Chronic musculoskeletal disorders such as low back and neck pain are responsible for an enormous global burden. Fear-avoidance (FA) can be a predictor for the transition from subacute to chronic low back pain. In patients with neck pain, those who were less fearful about harming their neck, had higher pain tolerance, which might have a positive impact on their level of disability. A new scale, the Fear-Avoidance Component Scale (FACS) was developed by Neblett, Mayer, Hartzell, Williams and Gatchel (2015) to assess FA. It consists of an all-encompassing set of constructs that more effectively deals with all critical issues of the FA concept than current scales do. Current scales have been criticized because of following findings: limited construct validity, little evidence on treatment responsiveness, a lack of evidence-based cut-off scores and items being too narrow or too general. The new scale comprehensively assesses all cognitive, emotional and behavioral components related to the updated version of the FA model by combining items of well-known scales in context of the FA model with items on one's perception of victimization and blame related to an injury. A Dutch version of the FACS is currently lacking. Subsequently, the aim of this study is to investigate different psychometric properties of the generated Dutch version in patients with musculoskeletal disorders.
The general aim of this project is to investigate the long-term treatment outcome after implant therapy. The patients' satisfaction with implant treatment will be studied and correlated to biological and technical problems. The survival rates of implants at patient level and the degree of bone loss of remaining teeth and implants will be calculated. The levels of cytokines and bone loss markers in peri-implantitis sites and periodontal defects and at healthy sites will be analyzed in order to study the correlation between cytokine and bone loss marker levels, and clinical conditions. Independent variables which could be regarded as significant risk factors or risk predictors on the incidence of peri-implantitis are aimed to be identified