Collaboration and Shared Decision-Making Between Patients and Clinicians in Preventive Health Care Decisions and US Preventive Services Task Force Recommendations

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION(2022)

引用 29|浏览21
暂无评分
摘要
This methods report from the US Preventive Services Task Force reviews the ethical and scientific principles behind shared decision-making, highlights the value of ensuring that patients are informed and involved in their care, and reaffirms the role of shared decision-making in making patient-centered decisions about prevention. The US Preventive Services Task Force (USPSTF) works to improve the health of people nationwide by making evidence-based recommendations for preventive services. Patient-centered care is a core value in US health care. Shared decision-making (SDM), in which patients and clinicians make health decisions together, ensures patients' rights to be informed and involved in preventive care decisions and that these decisions are patient-centered. SDM has a role across the spectrum of USPSTF recommendations. For A or B recommendations (judged by the USPSTF to have high or moderate certainty of a moderate or substantial net benefit at the population level), SDM allows individual patients to decide whether to accept such services based on their personal values and preferences. For C recommendations (indicating at least moderate certainty of a small net benefit at the population level), SDM is critical for individual patients to decide whether the net benefit for them is worthwhile. For D recommendations (reflecting at least moderate certainty of a zero or negative net benefit) or I statements (low certainty of net benefit), clinicians should be prepared to discuss these services if patients ask. More evidence is needed to determine if, in addition to promoting patient-centeredness, SDM reduces inequities in preventive care, as well as to define new strategies to find time for discussion of preventive services in primary care.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要