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本文引用的文献

1
The promise of machine learning in predicting treatment outcomes in psychiatry.机器学习在预测精神病学治疗结果方面的前景。
World Psychiatry. 2021 Jun;20(2):154-170. doi: 10.1002/wps.20882.
2
Patient-reported indicators in mental health care: towards international standards among members of the OECD.精神卫生保健中的患者报告指标：经合组织成员国的国际标准
Int J Qual Health Care. 2021 Mar 6;34(Suppl 1):ii7–ii12. doi: 10.1093/intqhc/mzab020.
3
Assessing the engagement of children and families in selecting patient-reported outcomes (PROs) and developing their measures: a systematic review.评估儿童和家庭参与选择患者报告结局（PROs）并开发其测量工具的情况：系统评价。
Qual Life Res. 2021 Apr;30(4):983-995. doi: 10.1007/s11136-020-02690-4. Epub 2020 Nov 6.
4
Rethinking the concept of insight.重新思考洞察力的概念。
World Psychiatry. 2020 Oct;19(3):389-390. doi: 10.1002/wps.20783.
5
The WPA-Lancet Psychiatry Commission on the Future of Psychiatry.世界精神病学协会-《柳叶刀》精神病学未来委员会
Lancet Psychiatry. 2017 Oct;4(10):775-818. doi: 10.1016/S2215-0366(17)30333-4.
6
Relationship Between Psychiatric-Service Consumers' and Providers' Goal Concordance and Consumers' Personal Goal Attainment.精神卫生服务消费者和提供者目标一致性与消费者个人目标实现之间的关系。
Psychiatr Serv. 2017 Dec 1;68(12):1312-1314. doi: 10.1176/appi.ps.201600580. Epub 2017 Sep 1.
7
Development and evaluation of an Individualized Outcome Measure (IOM) for randomized controlled trials in mental health.心理健康随机对照试验个体化结局测量指标（IOM）的开发与评估
Int J Methods Psychiatr Res. 2015 Dec;24(4):257-65. doi: 10.1002/mpr.1480. Epub 2015 Jul 17.

The utility of patient-reported outcome measures in mental health.

作者信息

Roe David, Slade Mike, Jones Nev

机构信息

Department of Community Mental Health, University of Haifa, Israel.

Department of Clinical Medicine, Psychiatry, Aalborg University, Aalborg, Denmark.

出版信息

World Psychiatry. 2022 Feb;21(1):56-57. doi: 10.1002/wps.20924.

DOI:10.1002/wps.20924
PMID:35015343
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8751576/
Abstract
摘要