医学
正式舞会
医疗保健
德尔菲法
家庭医学
多学科方法
焦点小组
梅德林
乳腺癌
护理部
癌症
统计
内科学
产科
社会学
业务
经济增长
经济
营销
法学
社会科学
数学
政治学
作者
Wee Loon Ong,Maartje G. Schouwenburg,A.C.M. van Bommel,Caleb Stowell,Kim H. Allison,Karen Benn,John Browne,Rodney D. Cooter,Geoff P. Delaney,François P. Duhoux,Patricia A. Ganz,Patricia Hancock,Reshma Jagsi,Felícia Marie Knaul,Anne M. Knip,Linetta B. Koppert,Henry M. Kuerer,Sarah McLaughin,Marc A.M. Mureau,Ann H. Partridge
出处
期刊:JAMA Oncology
[American Medical Association]
日期:2016-12-29
卷期号:3 (5): 677-677
被引量:208
标识
DOI:10.1001/jamaoncol.2016.4851
摘要
A major challenge in value-based health care is the lack of standardized health outcomes measurements, hindering optimal monitoring and comparison of the quality of health care across different settings globally. The International Consortium for Health Outcomes Measurement (ICHOM) assembled a multidisciplinary international working group, comprised of 26 health care providers and patient advocates, to develop a standard set of value-based patient-centered outcomes for breast cancer (BC). The working group convened via 8 teleconferences and completed a follow-up survey after each meeting. A modified 2-round Delphi method was used to achieve consensus on the outcomes and case-mix variables to be included. Patient focus group meetings (8 early or metastatic BC patients) and online anonymized surveys of 1225 multinational BC patients and survivors were also conducted to obtain patients' input. The standard set encompasses survival and cancer control, and disutility of care (eg, acute treatment complications) outcomes, to be collected through administrative data and/or clinical records. A combination of multiple patient-reported outcomes measurement (PROM) tools is recommended to capture long-term degree of health outcomes. Selected case-mix factors were recommended to be collected at baseline. The ICHOM will endeavor to achieve wide buy-in of this set and facilitate its implementation in routine clinical practice in various settings and institutions worldwide.
科研通智能强力驱动
Strongly Powered by AbleSci AI