# Designing Technologies for Value-based Mental Healthcare: Centering Clinicians’ Perspectives on Outcomes Data Specification, Collection, and Use

## TL;DR

This paper explores how mental health clinicians view the use of data in value-based healthcare, aiming to improve technology design and data collection practices.

## Contribution

The study introduces a new perspective on designing health technologies by centering clinicians' views on outcomes data in mental healthcare.

## Key findings

- Clinicians emphasize aligning outcomes data with payment programs and care goals.
- Opportunities exist for technologies and personal devices to enhance data collection.
- Outcomes data can be used to hold stakeholders like insurers and social services financially accountable.

## Abstract

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.