Healthcare
No-Show Rates and What Reminders Really Change: An Evidence Review for Practice and Engagement Teams
By Artem KukharenkoPublished Updated 7 min read
Updated 1 November 2026.
How big the problem is
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| Figure | Finding | Source |
|---|---|---|
| Average outpatient no-show rate | ~23% across 105 studies | Dantas et al., 2018 (figure via secondary summaries; verify against the article) |
| Regional range | ~13.2% (Oceania) to ~43.0% (Africa) | Dantas et al., 2018 |
| Number of identified predictors | More than 40 | Dantas et al., 2018, as cited by a 2020 systematic review of no-show prediction |
| Strongest predictors | Appointment lead time; prior no-show history | Dantas et al., 2018 |
| US medical groups reporting rising no-shows | 37% (2024 poll); 27% (Aug 2025, n = 265); 32% (Aug 2026) | MGMA Stat |
| Reasons cited by leaders | Transportation, cost burdens, access barriers such as long waits, Medicaid coverage churn; patients often give no reason | MGMA Stat, Aug 2025 |
| No-shows as a 2026 priority | Top patient-access priority at 27%, ahead of online scheduling at 24% | MGMA Stat, Dec 2025 |
Two things the averages hide. First, the 23% is a mean across very different settings; a US primary-care practice with reminders in place will be below it and a safety-net clinic with long lead times above it. Second, the no-show rate is partly a scheduling artifact: a practice that books eight weeks out manufactures no-shows that a practice booking one week out does not see.
What the evidence says about reminders
The Cochrane review Mobile phone messaging reminders for attendance at healthcare appointments (Gurol-Urganci et al., 2013 update) included eight randomized trials with 6,615 participants.
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| Comparison | Result | Quality of evidence |
|---|---|---|
| Text-message reminders vs no reminders | Attendance improved; RR 1.14 (seven studies, 5,841 participants) | Moderate |
| Text reminders vs phone-call reminders | Similar effect; RR 0.99 (95% CI 0.95–1.02; three studies, 2,509 participants) | Moderate |
| Text plus postal vs postal alone | RR 1.10 (95% CI 1.02–1.19; one study, 291 participants) | Low |
| Cost | Two studies found text reminders cost less per attendance than phone calls | — |
How to read RR 1.14: if 70% of patients attend without a reminder, about 80% attend with one. That is a meaningful change for a practice, and much smaller than the "cut no-shows by 30–40%" language in vendor material. The review's authors also called for further trials, which is a fair description of how thin the evidence base still is. A summary of the review in American Family Physician (2013) reported a slightly different pooled estimate (RR 1.10, four trials), which reflects different review versions; both say the same thing in practice.
Email reminders were not the subject of the Cochrane review. The reasonable inference is that email works through the same mechanism (a timely, visible prompt) and should be combined with text or a call for patients who have not opened or confirmed, rather than used alone for high-risk appointments.
Vendor claims, labeled
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| Claim | Who says it | Why it is not evidence |
|---|---|---|
| Automated reminders reduce no-shows by 24% | A dental email vendor, 2026 | No methodology; dental only |
| Automated reminders reduce no-shows by 30–40% | A healthcare marketing agency, 2026 | No methodology; conflicts with the 24% claim and with the trial evidence |
| AI no-show prediction "up to 90% accurate" | Prediction vendors, 2024–2026 | Accuracy on an imbalanced outcome is not useful; the question is whether the intervention changed attendance |
| Hybrid AI outreach plus human follow-up beats automation by 4 points | Vendor, 2026 | Unverified |
Quote them, if at all, as vendor claims. Plan on the Cochrane effect and measure your own.
What the evidence supports doing
- Remind everyone, by the channel they chose, twice. A reminder several days out and one the day before. The trials show the effect of reminders; they do not settle the ideal timing, so use two touches and test the gap.
- Require a confirmation. A reply, a tap or a portal confirmation turns a reminder into a commitment and surfaces cancellations early enough to fill the slot.
- Shorten lead time where you can. Open same-week slots, use waitlists to pull appointments forward, and send an "earlier slot available" message when one opens; lead time is one of the two strongest predictors.
- Target extra effort by prior no-show history. A patient who has missed before gets a call in addition to the text, or a slot that is easier to keep. This is the whole practical content of most prediction models.
- Remove the stated barriers. Transportation and cost are what MGMA's respondents name; a reminder cannot fix a bus route, but a message can include the ride-share program, the telehealth alternative or the payment-plan link.
- Measure attendance, not opens. The outcome is kept appointments per scheduled; reminders are judged on that, by channel and by risk tier, with a holdout if the practice can tolerate one.
- Keep it compliant. Reminders are treatment communications under HIPAA, but the list is PHI: BAA with the platform, no procedure detail in subject lines, aggregate reporting.
EngageHealth's no-show workflow is built on these levers: reminders by channel preference with confirmation, lead-time and prior-no-show flags from the EHR, and attendance reported by cohort. Request early access →
A planning example
A practice with 2,000 appointments a month and a 20% no-show rate loses 400 visits. Applying the Cochrane effect (RR 1.14) to the 80% who attend gives about 91% attendance, or roughly 220 fewer no-shows a month. If a fifth of appointments carry a prior no-show and that group's rate is 35%, a phone call layered on the text for those 400 appointments is where the next gains sit. The numbers are illustrative; the point is that the realistic gain is in the tens of percent of no-shows, not their elimination.
FAQ
What is the average patient no-show rate? About 23% of outpatient appointments, averaged across 105 studies in a 2018 systematic review (Dantas et al.), with regional averages from about 13% to 43%. Individual practices vary widely with lead time and population.
Do appointment reminders reduce no-shows? Yes. A Cochrane review of eight randomized trials found text-message reminders improved attendance with a risk ratio of 1.14 compared with no reminders, about the same as phone calls and at lower cost.
How much do reminders reduce no-shows? On the trial evidence, attendance rises by about 14% in relative terms (for example, from 70% to 80%). Vendor claims of 30–40% reductions are not supported by trials.
What predicts a no-show? More than 40 factors have been studied; the strongest are appointment lead time and the patient's prior no-show history. Practical targeting uses those two.
Are no-shows getting worse? MGMA polls show 27% of medical groups reporting increases in 2025 and 32% in 2026, with transportation, cost and access barriers cited as reasons.
Is email effective for appointment reminders? The trial evidence covers text and phone. Email works as a low-cost first touch with a confirmation link; for higher-risk appointments, pair it with text or a call.
Running recall and reminders across several sites? EngageHealth unifies the patient profile, consent and status across systems. Contact us →
Sources
- Dantas LF, Fleck JL, Oliveira FLC, Hamacher S. No-shows in appointment scheduling: a systematic literature review. Health Policy 2018;122(4):412–421. https://doi.org/10.1016/j.healthpol.2018.02.002 (figures via Textbook of Digital Health summary and a 2020 PMC review citing it; verify against the article)
- Gurol-Urganci I, de Jongh T, Vodopivec-Jamsek V, Atun R, Car J. Mobile phone messaging reminders for attendance at healthcare appointments. Cochrane Database of Systematic Reviews 2013, Issue 12, CD007458. https://www.cochrane.org/CD007458 (checked 1 Nov 2026)
- American Family Physician, Text Message Appointment Reminders (2013), summary of the Cochrane review. https://www.aafp.org/afp/2013/0701/p20
- MGMA Stat, Patient no-shows in 2025 (12 Aug 2025); About 1 in 3 medical groups see higher no-shows in 2026 (11 Aug 2026); Patient access priorities for 2026 (Dec 2025); Patient no-shows still an issue despite more automated reminders (2024). https://www.mgma.com/mgma-stat/patient-no-shows-in-2025 (checked 1 Nov 2026)
- Vendor claims on reminder effectiveness and prediction accuracy (Webtonic, AB Marketing Group, Dialzara and others, 2024–2026). Vendor figures.
- EngageMKTG, Patient Recall Systems, Patient Reactivation for Clinics and Health Systems, HIPAA-Compliant Email Marketing, EngageHealth (internal).
Cite this page
No-Show Rates and What Reminders Really Change: An Evidence Review for Practice and Engagement Teams. Artem Kukharenko. EngageMKTG. 2026-11-02. https://engagemktg.com/knowledge/no-show-rates-reminders-evidence
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