Maintenance

Why do so few clinics track mental health outcomes?

Short answer

Not because clinics do not care. A 2019 JAMA Psychiatry review found that fewer than 20% of behavioral health practitioners regularly track outcomes with a validated measure. The reasons sit at every level: patient worries, practitioner doubt, thin time and budget, and competing rules. The barriers are known, and so are the fixes.

The research
Lewis, C. C., Boyd, M., Puspitasari, A., et al. (2019). Implementing Measurement-Based Care in Behavioral Health: A Review. JAMA Psychiatry, volume 76, issue 3, pages 324 to 335.
Sample A narrative review of the research on measurement-based care rather than a single study of patients. It gathers the evidence on how often the practice is used, what blocks it, and what helps a clinic adopt it.
Published 2019
Journal JAMA Psychiatry
Cara Lewis and colleagues reviewed measurement-based care, the practice of giving a patient a brief validated symptom questionnaire before or during a visit and using the score to guide treatment. Despite strong evidence that it speeds improvement and catches patients who are quietly getting worse, they report that fewer than 20% of behavioral health practitioners use it regularly, and far fewer use it at every session. No earlier review had pulled together why, so this one set out to. The authors group the barriers into four levels. Patients can worry about how the information will be used. Practitioners may believe a short questionnaire adds little to their clinical judgment. Organizations often lack the time, training, and budget to support it. And the wider system adds competing paperwork and pays for visits rather than for tracking. The review then lists what helps: measurement feedback systems built into the workflow, respected local champions, learning collaboratives, leadership training, expert consultation for clinical staff, and incentives that line up with the practice. It closes with a 10-point research agenda, including better links to electronic health records and reimbursement that rewards tracking. Because it is a narrative review, it summarizes the evidence rather than pooling it into a single effect size.
Read the paper

What does this mean for your clinic?

The honest answer is that tracking outcomes well is harder than it looks, and most clinics were never set up to do it. The evidence that it helps is not really in dispute. When a clinic measures symptoms at each visit and acts on the trend, patients tend to improve faster, and the ones who are quietly sliding backward get caught sooner. Yet fewer than one in five behavioral health practitioners do it regularly. That gap is not about how much your staff care. It is about the conditions around the work.

The review sorts the reasons into four levels, and most clinics feel all four at once. Patients can be wary of what a score will be used for. Practitioners may feel a conversation already tells them more than a questionnaire will. Organizations often have no time built into the schedule, no training budget, and no one whose job it is to own the data. And the wider system piles on competing paperwork and pays for the visit, not for the tracking. Any one of these can stall a rollout. Together they explain why good intentions so rarely turn into a steady habit.

The more useful half of the review is what it found that works. Tracking sticks when the measure is built into the normal workflow, so it is not felt as extra work. It sticks when a respected local champion carries it day to day, and when leaders are trained to back it rather than simply announce it. Clinics that learn alongside each other in a collaborative, that give staff access to expert consultation, and that line up incentives with the practice are the ones that keep it going. The pattern is clear: adoption is an implementation problem, not a motivation problem.

Two honest limits are worth stating. This is a narrative review, so it maps the landscape rather than ranking the fixes by a single effect size, and the usage numbers come mostly from United States surveys that may read differently in your setting. What it does establish is that the obstacles are known and so are the levers. This is also where the gap between visits comes in. A score taken only in the room tells you how a patient was on one day every few weeks. The same validated measure, collected between visits and waiting for your team, turns tracking from a chore squeezed into an appointment into something that runs quietly on its own.

The takeaway

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This is the work Asendar™ was built for: collecting the same validated scores between visits and keeping the trend in front of your team, so tracking happens on its own instead of competing for time in the room.

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