What Can Addiction Treatment Outcomes Actually Tell You?
When a residential placement ends, the people who arranged it usually receive something back.
A medical aid receives a final claim and a discharge date.
An employer receives a return-to-work date, and sometimes a fitness-for-duty note.
A referring doctor or EAP provider receives a discharge summary.
Each of these says something about how the placement went. None of them, on its own, says whether it worked.
Funders, employers and referring clinicians are regularly asked to make decisions based on outcomes: whether to fund a further stay, whether to refer to the same facility again, whether an employee is ready to come back.
Those decisions rest on figures and reports that are quick to read and easy to read wrongly.
This article sets out four questions that make any outcome figure easier to interpret, from a single discharge summary to a facility’s headline success rate. It also covers what addiction treatment outcomes can’t tell you, however carefully they’re measured.
Why addiction treatment outcomes are hard to read
Two things make this area different from most of what a funder or employer measures.
The first is the nature of the condition. The UNODC and WHO International Standards for the Treatment of Drug Use Disorders (2020 edition) describe drug use disorders as often following a chronic, relapsing course, and say treatment services need to work with people over the long term.
The US National Institute on Drug Abuse puts relapse rates for substance use disorders at 40 to 60 percent, compared with 50 to 70 percent for hypertension and for asthma. It states plainly that relapse doesn’t mean treatment has failed. A single event after discharge is a weak signal on its own, in either direction.
The second is the state of the data. South Africa’s most widely cited treatment dataset, SACENDU, run by the South African Medical Research Council, gathers a standardized 22-question form for each person admitted to around 86 specialist treatment centers, compiled every six months.
It records the substance involved, the referral source, employment, funding source and more.
Its most recent brief, published in May 2026 and covering January to June 2025, reports who entered treatment. It does not report completion or post-discharge outcomes for those centers.
The UNODC and WHO standards expect treatment services to benchmark their performance against comparable services. In practice, a decision maker in South Africa is usually reading an outcome figure without a national reference point beside it.
That makes how the figure is read more important, not less.
Question 1: What counts as a good outcome here?
“Successful” can describe very different things. The UNODC and WHO standards set out treatment goals that include stopping or reducing drug use and improving health, well-being and social functioning. These are separate measures, and they don’t always move together.
Each party to a placement tends to weight them differently.
An employer is usually most concerned with whether someone returns to work and can do the job safely.
A medical aid may focus on whether the person is readmitted within the year.
A referring clinician may look at clinical stability and whether a co-occurring condition is being managed.
None of these is the wrong measure. The difficulty starts when a figure built on one definition is read as if it answered another.
A high completion rate says something about engagement with treatment. It doesn’t say whether someone is back at work three months later.
The question to put to any figure: when it says “successful,” what exactly was measured?
Question 2: Who is included in the number?
Every percentage has a denominator, and the denominator changes the result more than almost anything else. An outcome rate calculated only on people who completed a program will usually look different from one calculated on everyone who was admitted, including people who left early or were transferred elsewhere.
Follow-up works the same way. If a facility contacts people three months after discharge, the result describes the people who answered. Those who couldn’t be reached may be doing well or may not. Either way, they’re not in the number.
Both are legitimate ways to count. They describe different groups, and a figure is only comparable with another figure that counted the same group.
The question to put to any figure: who started in this group, and who is still in the result?
Question 3: When was it measured?
A status recorded on the day of discharge, at three months and at twelve months are three different findings. Because substance use disorders so often follow a long-term course, an early measure and a later one can point in different directions without either being inaccurate.
Discharge-day measures tend to be the most complete, because almost everyone can be accounted for. Later measures are usually more meaningful to a funder or employer, but they tend to cover fewer people.
That trade-off ties this question directly back to the previous one.
The question to put to any figure: how long after discharge was it measured, and how many people could still be reached at that point?
Question 4: How was it confirmed?
Outcome information can come from several places: the person’s own account, a family member, an employer, a referring clinician or a clinical review.
A person’s own account is direct, but depends on what was asked and who asked it.
An employer’s view of attendance and performance is concrete, but covers one part of someone’s life.
A clinical review adds depth, but takes place at fixed points.
A figure drawn from a single source isn’t unreliable for that reason. It is narrower. Knowing the source tells you which part of the picture you are looking at.
The question to put to any figure: who provided this information, and which part of the person’s life does it cover?
What a single outcome can’t tell you
Even read carefully, one outcome describes one moment, for one person or one group. On its own, it can’t tell a funder whether a placement worked in any lasting sense.
NIDA describes a return to use as a sign that treatment may need to resume or change, not as proof that the original placement failed. In the same way, a strong result at discharge doesn’t settle the months that follow.
What outcomes can show is a pattern over time, provided the same definition, group, timing and source are used each time they are measured. Several years of figures measured the same way say more than any single headline percentage.
The four questions together
Any outcome figure in a recovery partnership can be read through four questions:
What counts as a good outcome here? (the definition)
Who is included in the number? (the group counted)
When was it measured? (the timing)
How was it confirmed? (the source)
None of them require research training. They require recognizing that every figure is the product of choices, and asking what those choices were before acting on it.
For a funder, employer, EAP provider or referring clinician, that is often the difference between a decision based on a number and a decision based on what the number actually describes.
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