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How to reduce patient no-shows: what the research says works
The best-supported way to reduce patient no-shows is an automated reminder by text message or phone call, and two reminders (for example 3 days and 1 day before) appear to work better than one. Beyond reminders the evidence is thinner: stating the cost of a missed visit, calling high-risk patients and open-access scheduling have some support, overbooking absorbs no-shows rather than preventing them, and fees or deposits have barely been studied.
Below, each intervention with the study behind it and the effect size exactly as the authors report it. Where the research is weak or missing, we say so.
How common are no-shows?
A 2018 systematic review in Health Policy of 105 studies found an average no-show rate of about 23%, highest in Africa (43.0%) and lowest in Oceania (13.2%). The factors most often linked to no-shows were a long wait between booking and the visit (lead time) and a history of previous no-shows. Younger adults, patients with lower socioeconomic status, those living far from the clinic and those without private insurance were also more likely to miss appointments.
Missed visits cost money. A study of a large US medical center and regional hospitals (1997 to 2008) found a mean no-show rate of 18.8% across 10 main clinics, and an average cost of US$196 per no-show in 2008.
We did not find a reliable, recent source of no-show rates broken down by specialty across countries, so we don't publish one here. Measure your own rate first: it is the baseline every change below should be judged against.
Do appointment reminders work?
Yes. This is the most studied intervention, and the reviews agree on direction even though the size of the effect varies:
- Cochrane review, 2013 (Gurol-Urganci et al., 8 randomized trials, 6,615 participants): text message reminders increased attendance compared with no reminder, risk ratio 1.14 (95% CI 1.03 to 1.26), from 7 studies with 5,841 participants (moderate-quality evidence). Attendance was 67.8% with no reminder, 78.6% with text reminders and 80.3% with phone call reminders. The authors rated the review's evidence overall as low to moderate quality.
- BMJ Open, 2016 (Robotham et al., 26 articles, 21 in the main meta-analysis): patients who received text notifications were 23% more likely to attend (risk ratio 1.23; 67% vs 54%) and 25% less likely to no-show (risk ratio 0.75; 15% vs 21%). Multiple notifications were significantly more effective than single ones.
- Health Services Research, 2012 (Guy et al., 18 reports including 8 randomized trials): the summary effect from the trials was 1.48 (95% CI 1.23 to 1.72), with no significant differences by clinic type, message timing or patient age group.
- Journal of Medical Systems, 2016 (Boksmati et al., 28 studies including 13 randomized trials): pooled odds ratio 1.62 (1.35 to 1.94) for SMS reminders versus no reminder.
In plain terms: in the Cochrane trials, about 68 in 100 patients attended without a reminder and about 79 in 100 with a text reminder. Your numbers will differ, but the direction is consistent across reviews.
Text, phone call or WhatsApp?
- Text vs phone call. The Cochrane review found no significant difference between text and phone call reminders (risk ratio 0.99, 95% CI 0.95 to 1.02, 3 studies, 2,509 participants, moderate-quality evidence), and two studies reported that the cost per text message per attendance was 55% and 65% lower, respectively, than the cost per phone call reminder.
- A person calling vs an automated call. In a 2010 study in The American Journal of Medicine, no-show rates were 13.6% with reminders from clinic staff (n=3,266), 17.3% with automated reminders (n=3,219) and 23.1% with no reminder (n=3,350). Staff reminders were significantly more effective, but they cost staff time.
- Voice vs text. The 2016 BMJ Open review reported that voice notifications appeared more effective than text notifications.
- WhatsApp and other messaging apps. The evidence is thin. The only randomized trial of WhatsApp reminders we found (Favaretti et al., BMC Public Health 2024, 388 patients with high blood pressure in India) combined reminders with messages correcting misconceptions and found no significant difference: 21.8% follow-up attendance versus 19.6% with no messages (p=0.603). It is reasonable to expect a reminder to work similarly on the channel your patients actually read, but that is an inference, not a tested result. On the WhatsApp Business Platform, reminders sent outside an open conversation must use pre-approved templates, which Meta charges per message at rates that vary by country.
When should reminders be sent?
The strongest single trial on timing is a 2018 randomized trial in The American Journal of Managed Care (Steiner et al.): 54,066 patients in 25 primary care clinics received text or voice reminders.
| Reminder schedule | No-show rate, all patients | No-show rate, high-risk patients |
|---|---|---|
| 3 days and 1 day before | 4.4% | 20.5% |
| 3 days before only | 5.8% | 25.0% |
| 1 day before only | 5.3% | 24.2% |
For a single reminder, the exact timing seems to matter less: both Guy et al. (24, 48 and 72+ hours) and Boksmati et al. found no significant differences by timing.
Does the wording of a reminder matter?
It can. Two randomized trials at a single hospital location in England (Hallsworth et al., PLOS ONE 2015) tested different SMS texts:
- Trial 1 (10,111 patients): a message stating the specific cost of a missed appointment to the health system produced a missed-appointment rate of 8.4%, compared with 11.1% for the existing reminder.
- Trial 2 (9,848 patients): the specific-cost message again did best (8.2%), while a message expressing the same idea in general terms did significantly worse (9.9%).
The authors note the change added no cost. Whether a cost message works the same way in private practice, where the patient pays, has not been tested in these trials.
Using more than one channel can also help. In a 2010 randomized trial at an urban primary care clinic in Geneva serving mostly vulnerable patients (2,123 patients), a reminder 48 hours ahead, by phone call first, then a text if the patient did not answer, then a letter if there was no mobile number, reduced missed appointments from 11.4% to 7.8%. The clinic was also able to reallocate 28% of cancelled appointments.
Should you call the patients most likely to miss?
A 2023 randomized quality-improvement study in the Journal of General Internal Medicine at a primary care internal medicine clinic in a US safety-net health system used a prediction model to flag 5,840 appointments with at least a 15% predicted no-show risk, then randomized them: schedulers phoned patients in the intervention group (2,858 appointments) on top of standard automated reminders, while the rest (2,982) got the automated reminders only. No-shows were 33% versus 36% overall, and 36% versus 42% for Black patients, narrowing a disparity. There was no comparable benefit for white, non-Hispanic patients. This is useful for large practices with scheduling data; for a small clinic, a simple rule such as "call anyone who missed before" is the low-tech version, though it has not been tested as such.
Does overbooking help?
Overbooking doesn't reduce no-shows; it fills the gaps they leave. In a 2007 simulation study in Decision Sciences, LaGanga and Lawrence found overbooking improved patient access and provider productivity but increased patient wait times and provider overtime. It helped most in clinics with larger patient populations, higher no-show rates and less variable visit lengths. Because this was a simulation, test it carefully on a few sessions and watch waiting times before rolling it out.
Does open access (same-day) scheduling help?
Because long lead times predict no-shows, booking patients closer to the visit should help, and it sometimes does:
- A 2011 systematic review in Archives of Internal Medicine (24 studies, all from the UK or US) found no-show rates improved only in practices whose baseline no-show rate was higher than 15%.
- A 2024 systematic review in Health Science Reports found that 10 of 16 articles reported a significant decrease in no-shows with open access; 6 found no significant or meaningful change.
Open access is a big operational change to how the whole schedule works. Given the 2011 finding, it is most worth considering if your own no-show rate is above 15%.
Do no-show fees or deposits work?
We don't know, because they have rarely been studied. A 2023 systematic review of behavioural economic interventions for non-attendance included 61 studies; 56 tested reminders, and the authors reported a lack of evidence on alternative interventions. We did not find a randomized trial of no-show fees in our September 2026 search.
Where you practise also decides whether you can charge:
- US: Medicare allows providers to charge beneficiaries for missed appointments only if the same policy applies to all patients, and Medicare itself does not pay these charges (CMS transmittal on charges for missed appointments; Claims Processing Manual, Chapter 1, §30.3.13).
- UK: the BMA says NHS GP practices cannot charge registered patients for treatment or prescriptions, but can charge for services other than treatment. Its guidance does not address missed-appointment fees, so check with the BMA or your commissioner before introducing one.
- Elsewhere: rules differ by country, payer and professional code. This is not legal advice; check with your regulator or lawyer before introducing a fee or deposit.
Intervention, evidence, effort and cost
| Intervention | Evidence | Effort | Cost |
|---|---|---|---|
| Automated SMS reminder | Strongest in this list. Several meta-analyses of randomized trials (Cochrane RR 1.14 for attendance, rated moderate quality) | Low | Low; cost per attendance 55% and 65% lower than phone calls in two Cochrane-included studies |
| Two reminders instead of one | Good. One large randomized trial (4.4% vs 5.3 to 5.8%) | Low | Low |
| Staff phone call | Good. 13.6% vs 17.3% automated vs 23.1% none (one large study) | High | Staff time |
| Stating the cost of a missed visit | Moderate. Two randomized trials, one location in England | Low | None beyond rewording |
| Targeted calls to high-risk patients | Moderate. One randomized study (33% vs 36%) | Medium | Staff time, prediction model |
| WhatsApp reminders | Weak. One randomized trial, no significant effect | Low | Per-template fees by country |
| Open access scheduling | Mixed. Two systematic reviews; works mainly where no-shows exceed 15% | High | Reorganizing the schedule |
| Overbooking | Modelling only. Absorbs no-shows, adds waits and overtime | Medium | Patient wait time, overtime |
| Fees or deposits | Little to none. No randomized trial found | Medium | Admin; legal limits vary |
Do you need a new tool?
Often not. If your scheduling or practice-management system already sends reminders, the cheapest steps with trial evidence behind them are to turn on a second reminder and test a wording that states what a missed visit costs. Adding a clear way to cancel or reschedule, so the slot can be offered to someone else, is sensible but has not been tested on its own in the studies above. A dedicated reminder or messaging tool makes sense when your current system can't send two reminders, can't reach patients on the channel they actually read, or can't collect cancellations so the slot can be offered to someone else.
Checklist
- Measure your no-show rate for at least a month, by day of week and lead time.
- Send two reminders: about 3 days and 1 day before.
- Let patients cancel or reschedule by replying, and refill freed slots.
- Try a reminder wording that states the cost or impact of a missed visit, and compare.
- Call patients with a previous no-show or a very long lead time.
- If your rate is above 15%, consider holding some same-day slots.
- Only overbook with data on your own no-show rate and visit lengths.
- Check your country's rules before charging a fee or deposit.
- Re-measure after 60 days and keep only what moved the number.
Disclosure: we make ClinicConvo. It is an AI assistant that answers a clinic's WhatsApp and passes appointment requests to the front desk; it does not book on its own unless the clinic turns that on, and you can try it here.
Sources
- Dantas LF et al. No-shows in appointment scheduling: a systematic literature review. Health Policy. 2018. doi:10.1016/j.healthpol.2018.02.002 (PMID 29482948).
- Kheirkhah P et al. Prevalence, predictors and economic consequences of no-shows. BMC Health Serv Res. 2016. doi:10.1186/s12913-015-1243-z (PMID 26769153).
- Gurol-Urganci I et al. Mobile phone messaging reminders for attendance at healthcare appointments. Cochrane Database Syst Rev. 2013. doi:10.1002/14651858.CD007458.pub3 (PMID 24310741).
- Robotham D et al. Using digital notifications to improve attendance in clinic: systematic review and meta-analysis. BMJ Open. 2016. doi:10.1136/bmjopen-2016-012116 (PMID 27798006).
- Guy R et al. How effective are short message service reminders at increasing clinic attendance? Health Serv Res. 2012. doi:10.1111/j.1475-6773.2011.01342.x (PMID 22091980).
- Boksmati N et al. The effectiveness of SMS reminders on appointment attendance: a meta-analysis. J Med Syst. 2016. doi:10.1007/s10916-016-0452-2 (PMID 26852337).
- Parikh A et al. The effectiveness of outpatient appointment reminder systems in reducing no-show rates. Am J Med. 2010. doi:10.1016/j.amjmed.2009.11.022 (PMID 20569761).
- Favaretti C et al. Effectiveness of WhatsApp based debunking reminders on follow-up visit attendance for individuals with hypertension. BMC Public Health. 2024. doi:10.1186/s12889-024-19894-9 (PMID 39245777).
- Steiner JF et al. Optimizing number and timing of appointment reminders: a randomized trial. Am J Manag Care. 2018. PMID 30130032.
- Hallsworth M et al. Stating appointment costs in SMS reminders reduces missed hospital appointments: findings from two randomised controlled trials. PLOS ONE. 2015. doi:10.1371/journal.pone.0137306 (PMID 26366885).
- Perron NJ et al. Reduction of missed appointments at an urban primary care clinic: a randomised controlled study. BMC Fam Pract. 2010. doi:10.1186/1471-2296-11-79 (PMID 20973950).
- Tarabichi Y et al. Reducing disparities in no show rates using predictive model-driven live appointment reminders for at-risk patients. J Gen Intern Med. 2023. doi:10.1007/s11606-023-08209-0 (PMID 37126125).
- LaGanga LR, Lawrence SR. Clinic overbooking to improve patient access and increase provider productivity. Decision Sciences. 2007;38(2):251-276. doi:10.1111/j.1540-5915.2007.00158.x.
- Rose KD, Ross JS, Horwitz LI. Advanced access scheduling outcomes: a systematic review. Arch Intern Med. 2011. doi:10.1001/archinternmed.2011.168 (PMID 21518935).
- Mazaheri Habibi MR et al. Evaluation of no-show rate in outpatient clinics with open access scheduling system: a systematic review. Health Sci Rep. 2024. doi:10.1002/hsr2.2160 (PMID 38983686).
- Werner K et al. Behavioural economic interventions to reduce health care appointment non-attendance: a systematic review and meta-analysis. BMC Health Serv Res. 2023. doi:10.1186/s12913-023-10059-9 (PMID 37872612).
- Centers for Medicare & Medicaid Services. Charges for missed appointments (transmittal); Medicare Claims Processing Manual, Chapter 1, §30.3.13.
- British Medical Association. What services GP practices can and cannot charge for.
- Meta. WhatsApp Business Platform pricing. Read Sep 24, 2026.