Patient Factors Associated with Increased Cancer Worry, Fatigue, and Impact on Work Following a Breast Cancer Diagnosis: A Cross-Sectional Analysis.

A breast cancer diagnosis may result in disabling effects which may persist after treatment. The aim of this study was to identify patient factors that are associated with increased cancer worry, fatigue, and impact on work. Women with a history of breast cancer, aged ≥18 years, and English-speaking were recruited through the Love Research Army between October and November 2019.

Iterative qualitative approach to establishing content validation of a patient-reported outcome measure for arm lymphedema: the LYMPH-Q Upper Extremity Module.

Background: Breast cancer-related lymphedema (BRCL) is one of the most common causes of upper extremity (UE) lymphedema in developed nations and substantially impacts health-related quality of life. To advance our understanding of the epidemiology and treatment of BRCL, rigorously developed and validated patient-reported outcome measures (PROMs) are needed. This study aimed to demonstrate the iterative content validity of a modular UE lymphedema-specific PROM called the LYMPH-Q UE module.

Patient factors associated with cancer worry post-breast reconstruction: A cross-sectional study.

Purpose: The BREAST-Q Breast Cancer module is a patient-reported outcome measure for women with breast cancer diagnosis. Our research team developed and validated a novel BREAST-Q scale for this module that measures quality of life outcomes specific to cancer worry. The aim of this study was to investigate patient related breast reconstruction factors that are associated with worse scores on the new BREAST-Q Cancer Worry Scale.

The SKIN-Q: An Innovative Patient-Reported Outcome Measure for Evaluating Minimally Invasive Skin Treatments for the Face and Body.

As the aesthetics field continues to innovate, it is important that outcomes are carefully evaluated. To develop item libraries to measure how skin looks and feels from the patient perspective, that is, SKIN-Q. Concept elicitation interviews were conducted and data were used to draft the SKIN-Q, which was refined with patient and expert feedback.