Objective: Inadequate communication about endometriosis symptom burden between women and healthcare providers is a barrier for optimal treatment. This study describes the development of the EndoWheel, a patient-reported assessment tool that visualizes the multi-dimensional burden of endometriosis to facilitate patient-provider communication.
Methods: Assessment questions for the tool were developed using an iterative Delphi consensus process. A consensus phase included additional practitioners and specialists to broaden perspectives and select revised statements. Semi-structured qualitative interviews were conducted with 13 women with endometriosis to assess the scoring and content of the measures.
Results: Symptoms included in the tool were pelvic pain, vaginal bleeding, bowel/bladder symptoms, energy levels, fertility, impact on activities, emotional and sexual well-being, and self-perceived global health. Additional life impact areas included relationships, social and occupational activity, and self-perception. The 13 interviewees completed the tool in approximately 5-6 min (range 4.0-7.5 min). Most participants (92%) perceived that the tool would enable better patient-provider communication, including addressing symptoms and areas of impact not normally discussed during office visits.
Conclusion: Similar to visual circular tools used in burden assessment of other chronic diseases, the tool may facilitate improved patient dialogue with providers around endometriosis treatment goals and options.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1080/03007995.2021.1929896 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
MFF-Net: A Lightweight Multi-Frequency Network for Measuring Heart Rhythm from Facial Videos.
Sensors (Basel)
December 2024
College of Electrical Engineering, Sichuan University, Chengdu 610065, China.
Remote photo-plethysmography (rPPG) is a useful camera-based health motioning method that can measure the heart rhythm from facial videos. Many well-established deep learning models can provide highly accurate and robust results in measuring heart rate (HR) and heart rate variability (HRV). However, these methods are unable to effectively eliminate illumination variation and motion artifact disturbances, and their substantial computational resource requirements significantly limit their applicability in real-world scenarios.
View Article and Find Full Text PDFCanonical correlation analysis of family burden of disease and quality of life in caregivers of people living with schizophrenia: evidence from Schizophrenia-specific cohort in the less-developed multi-ethnic region of Southwest China.
BMC Psychiatry
January 2025
Yunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, 1168# West Chunrong Road, Chenggong Zone, Kunming, 650500, China.
Background: Health-related quality of life is a multi-dimensional concept that involves individual's perceived physical and mental health, social relationships, and environment. Family members are the primary caregivers of people living with schizophrenia in China, the quality of life of caregiver of people living with schizophrenia is generally poorer, which may indirectly affect the quality of life of the people with schizophrenia.
Methods: We conducted a comprehensive survey on quality of life in caregivers of people living with schizophrenia based on the Schizophrenia-specific cohort in the Less-developed Multi-ethnic Region of Southwest China to validate the accessibility and effectiveness of the schizophrenia family care model at the family level, caregivers of people living with schizophrenia were selected as participants in Baoshan City, Yunnan Province from September 2022 to March 2023, quality of life, family burden of disease, sociodemographic and behavioral information of participants were collected.
Association between adherence to behavioral intervention and capability well-being among parents of autistic children: a cross-sectional study from China.
BMC Psychiatry
December 2024
Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, 518000, China.
Background: High adherence to behavioral interventions among parents of autistic children contribute to improvement in children's behaviors and parental outcomes. However, most of previous studies focused on the effects of intervention adherence on health-related well-being among parents, which is inadequate to capture the multi-dimensional parental burden of caring for autistic children. The aim of this study is to assess the association between parents' adherence to behavioral intervention and their capability well-being.
View Article and Find Full Text PDFTowards standardization of person-reported outcomes (PROs) in pediatric diabetes research: A consensus report.
Diabet Med
December 2024
Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Background: Diabetes ranks among the most common chronic conditions in childhood and adolescence. It is unique among chronic conditions, in that clinical outcomes are intimately tied to how the child or adolescent living with diabetes and their parents or carers react to and implement good clinical practice guidance. It is widely recognized that the individual's perspective about the impact of trying to manage the disease together with the burden of self-management should be addressed to achieve optimal health outcomes.
View Article and Find Full Text PDFDesign of a hazard prediction system with intelligent multimodal fusion based on artificial intelligence & internet of things technology: taking a crib as an example.
PeerJ Comput Sci
October 2024
School of Mechanical Engineering, Zhejiang University, Hangzhou, Zhejiang, China.
Problem: How to design an intelligent multimodal fusion hazard prediction system using AIoT (Artificial Intelligence & Internet of Things) technology to predict some potential dangers. This article will provide some ideas and methods.
Introduction: This article designs an intelligent multimodal fusion hazard prediction system based on AIoT technology.
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!