Adler Daniel A, Yang Yuewen, Viranda Thalia, Van Meter Anna R, McGinty Emma Elizabeth, Choudhury Tanzeem
Information Science, Cornell Tech, New York, New York, USA.
Cornell Tech, New York, New York, USA.
Proc SIGCHI Conf Hum Factor Comput Syst. 2025 Apr-May;2025. doi: 10.1145/3706598.3713481. Epub 2025 Apr 25.
Health information technologies are transforming how mental healthcare is paid for through value-based care programs, which tie payment to data quantifying care outcomes. But, it is unclear what outcomes data these technologies should store, how to engage users in data collection, and how outcomes data can improve care. Given these challenges, we conducted interviews with 30 U.S.-based mental health clinicians to explore the design space of health information technologies that support outcomes data specification, collection, and use in value-based mental healthcare. Our findings center clinicians' perspectives on aligning outcomes data for payment programs and care; opportunities for health technologies and personal devices to improve data collection; and considerations for using outcomes data to hold stakeholders including clinicians, health insurers, and social services financially accountable in value-based mental healthcare. We conclude with implications for future research designing and developing technologies supporting value-based care across stakeholders involved with mental health service delivery.
健康信息技术正在改变精神卫生保健通过基于价值的护理计划进行支付的方式,这些计划将支付与量化护理结果的数据挂钩。但是,尚不清楚这些技术应存储哪些结果数据,如何让用户参与数据收集,以及结果数据如何改善护理。鉴于这些挑战,我们采访了30位美国精神卫生临床医生,以探索支持基于价值的精神卫生保健中结果数据规范、收集和使用的健康信息技术的设计空间。我们的研究结果集中在临床医生对使支付计划和护理的结果数据保持一致的看法;健康技术和个人设备改善数据收集的机会;以及在基于价值的精神卫生保健中使用结果数据使包括临床医生、健康保险公司和社会服务机构在内的利益相关者承担财务责任的考虑因素。我们最后对未来研究设计和开发支持涉及精神卫生服务提供的各利益相关者基于价值的护理的技术提出了建议。