Maintenance

How can a clinic tell if treatment is working?

Short answer

By measuring, the right way. A 2017 review in Psychiatric Services found that clinics can tell whether treatment is working when they collect a brief validated symptom score often, on time, and review it with the patient during the visit. One-time screening and scores that arrive late do not help.

The research
Fortney, J. C., Unützer, J., Wrenn, G., et al. (2017). A Tipping Point for Measurement-Based Care. Psychiatric Services, volume 68, pages 179 to 188.
Sample A review of 51 articles on measurement-based care, not a single trial of patients. It gathers the evidence on what kind of symptom tracking changes outcomes and what kind does not, drawing on published studies and a focus group of experts.
Published 2017
Journal Psychiatric Services
John Fortney and colleagues reviewed measurement-based care, which they define as giving a patient a validated symptom rating scale on a routine schedule and using the result to guide the next treatment decision. They pulled together 51 articles. The central finding was consistent: nearly every randomized trial that fed frequent, timely patient-reported scores back to the clinician during the encounter improved outcomes. Just as important was what did not work. One-time screening, assessment done only now and then, and feedback that reached the provider outside the visit did not improve results. In short, measurement helps a clinic see whether treatment is working only when it is repeated, current, and in the room when decisions are made. The authors also reported that large pragmatic trials and demonstration projects suggest the approach can scale and is well accepted by both patients and providers, and that scores gathered across a caseload can support clinician development, quality improvement, and reporting to payers. They urged clinics to build measurement-based systems on their own terms before accreditation and payment changes required it. Because this is a narrative review rather than a pooled meta-analysis, it counts and weighs the studies rather than combining them into a single effect size.
Read the paper

What does this mean for your clinic?

The honest answer is that a clinic cannot tell whether treatment is working from impressions alone, and it cannot tell from a single screen at intake either. A score taken once, at the start, says where a patient began. It says nothing about the direction they are moving now. What this review shows is that the signal you are looking for lives in the trend, and the trend only appears when you measure the same thing again and again.

Three conditions separated the tracking that helped from the tracking that did not. The measure had to be collected often, so a change could show up between visits rather than after months. It had to be timely, so the score in front of the clinician reflected how the patient is today, not how they were at a check that happened weeks ago. And it had to land during the encounter, while the plan is actually being set, rather than in a report filed somewhere after the visit ended. Miss any one of those and the measurement stops telling you whether treatment is working. That is why a clinic can be collecting data and still be flying blind.

The practical read for your clinic is encouraging. The review found that this way of working is feasible at scale and that patients and clinicians generally accept it. The same scores that tell you about one patient, gathered across your caseload, also give your team something to learn from and give payers something real to see. The authors framed it as a choice about timing: clinics that build a measurement habit now, on their own terms, are better placed than clinics that wait until an outside rule forces a rushed version of it.

Two limits are worth stating plainly. This is a narrative review, so it describes a clear and repeated pattern rather than ranking approaches by a single number, and much of the evidence comes from United States settings that may run differently from yours. What it does establish is simple and useful: whether treatment is working is a question you answer with repeated, current, in-the-room measurement, not with a one-time form. This is also where the gap between visits matters. A score captured only in the appointment tells you how a patient was on one day every few weeks. The same validated measure, collected between visits and waiting for your team, is how the trend gets frequent and timely without stealing minutes from the room.

The takeaway

Terms in this page
Between-session support Mental readiness

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 the measurement that tells you whether treatment is working happens often and on time instead of competing for minutes in the room.

See how Asendar™ works for clinics

People also ask

Does measurement-based care actually improve depression treatment?

In a blind-rated trial by Guo and colleagues (2015), tying each treatment decision to regular scores and a guideline more than doubled remission compared with clinician judgment alone. The gain comes from reading the score and acting on it, not from collecting it.

Does showing clinicians a patient's progress scores change outcomes?

Often, yes. A 2018 meta-analysis by Lambert and colleagues found that feeding progress scores back to clinicians during care beat usual treatment in about two thirds of studies, with the largest gains for patients who were quietly heading off track.

Why do so few clinics track outcomes if it helps?

A 2019 review by Lewis and colleagues found fewer than 20% of behavioral health practitioners track routinely. The barriers are practical, at the patient, practitioner, organization, and system levels, and so are the fixes, like building the measure into the workflow.

Explore more in the Maintenance pillar