Study Design: Retrospective and prospective patient surveys and a physician survey using a sample from American Medical Association master file.
Objective: To evaluate the performance of a new instrument designed to measure the quality of decisions about treatment of herniated disc.
Summary Of Background Data: There is growing consensus on the importance of engaging and informing patients to improve the quality of significant medical decisions, yet there are no instruments currently available to measure decision quality.
Methods: The herniated disc-decision quality instrument (HD-DQI) was developed with input from clinical experts, survey research experts, and patients. The HD-DQI produces 2 scores each scaled to 0% to 100%, with higher scores indicating better quality: (1) a total knowledge score and (2) a concordance score (indicating the percentage of patients who received treatments that matched their goals). We examined hypotheses relating to the acceptability, feasibility, validity, and reliability of the instrument, using data from 3 samples.
Results: The HD-DQI survey was feasible to implement and acceptable to patients, with good response rates and low missing data. The knowledge score discriminated between patients who had seen a decision aid or no decision aid (55% vs. 38%, P < 0.001) and between providers and patients (73% vs. 46%, P < 0.001). The knowledge score also had good retest reliability (intraclass correlation coefficient = 0.85). Most patients (78%) received treatments that matched their goals. Patients who received treatments that matched their goals were less likely to regret the decision than those who did not (13% vs. 39%, P = 0.004).
Conclusion: The HD-DQI met several criteria for high-quality patient-reported survey instruments. It can be used to determine the quality of decisions for treatment of herniated disc. More work is needed to examine acceptability for use as part of routine patient care.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1097/BRS.0b013e3182532924 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Effect of Education on Nutritional Knowledge of Cancer Prevention based on Health Belief Model: A Systematic Review and Meta-Analysis.
Asian Pac J Cancer Prev
January 2025
Counseling and Reproductive Health Research Center, Department of Midwifery, School of Nursing and Midwifery, Golestan University of Medical Sciences, Gorgan, Iran.
Objective: This systematic review was conducted to examine the impact of education on nutritional knowledge for cancer prevention using the Health Belief Model.
Methods: Comprehensive searches were performed in international electronic databases, including Scopus, PubMed, and Web of Science, from their inception until June 16, 2024. Keywords derived from Medical Subject Headings such as "Nutrition Knowledge," "Education," "Health Belief Model," and "Cancer" were utilized.
Impact of comorbidity on survival in cancer patients receiving immune checkpoint inhibitors.
Clin Transl Oncol
January 2025
Medical Oncology Department, Faculty of Medicine, School of Medicine, Cebeci Hospital, Ankara University, Dikimevi, 06590, Ankara, Turkey.
Purpose: Immunotherapy efficacy in elderly patients with comorbidities and poor performance status is not well understood. More knowledge on this topic is needed to identify subgroups that will benefit from immunotherapy. We aimed to evaluate the effect of comorbidity burden in patients receiving immunotherapy.
View Article and Find Full Text PDFDermatologists' knowledge, attitudes, and practices regarding omalizumab therapy for chronic urticaria.
Arch Dermatol Res
January 2025
Department of dermatology, Lishui Central Hospital, Lishui, 323000, China.
The purpose of this study was to evaluate dermatologists' knowledge, attitudes, and practices (KAP) concerning omalizumab therapy for chronic urticaria. We conducted a cross-sectional study in several hospitals in China, mainly in hospitals in Zhejiang Province, during August 1, 2024 - August 15, 2024 using a self-administered KAP questionnaire. Wilcoxon-Mann-Whitney tests and Kruskal-Wallis analysis of variance were performed to compare differences across groups Factors influencing practice were determined through multivariable logistic regression.
View Article and Find Full Text PDFFast and interpretable mortality risk scores for critical care patients.
J Am Med Inform Assoc
January 2025
Department of Computer Science, Duke University, Durham, NC 27708, United States.
Objective: Prediction of mortality in intensive care unit (ICU) patients typically relies on black box models (that are unacceptable for use in hospitals) or hand-tuned interpretable models (that might lead to the loss in performance). We aim to bridge the gap between these 2 categories by building on modern interpretable machine learning (ML) techniques to design interpretable mortality risk scores that are as accurate as black boxes.
Material And Methods: We developed a new algorithm, GroupFasterRisk, which has several important benefits: it uses both hard and soft direct sparsity regularization, it incorporates group sparsity to allow more cohesive models, it allows for monotonicity constraint to include domain knowledge, and it produces many equally good models, which allows domain experts to choose among them.
Evaluating the Effectiveness of a Culturally Adapted Dementia Prevention Animation on Ethnically Diverse participants' Knowledge of Dementia Prevention.
Clin Gerontol
January 2025
Division of Social Gerontology, National Ageing Research Institute, Parkville, Victoria, Australia.
Objectives: To determine whether culturally adapted dementia prevention animations increased dementia prevention knowledge in ethnically diverse communities.
Methods: A before-and after survey conducted online and in-person between 1 February and 5 June 2022. Participants viewed the animation in Arabic, Hindi, Tamil, Cantonese, Mandarin, Greek, Italian, Spanish, Vietnamese or English.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!