SAIMSARA Journal

Machine-Readable Science • ISSN 3054-3991

Missed Appointments, No-Show Rates, and Appointment Attendance Interventions: Scoping Review with ☸️SAIMSARA

Digital Health & Biotech icon

Digital Health & Biotech

Issue 3, Volume 1, 2026

DOI: 10.62487/saimsarabe3a427b

Editorial note
• Last update: 2026-06-10 21:12:33
What is this paper about
Missed appointments are not solved by reminders alone: the strongest signals come from reducing practical friction, shortening access delays, and adding accountable human contact through calls, navigation, scheduling redesign, and targeted outreach. The full read shows which interventions actually improve attendance, where SMS and nudges fail, and how clinics can design barrier-matched systems instead of wasting capacity on generic reminders.
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Abstract: To map and synthesize original evidence on interventions designed to improve appointment attendance, identify recurrent intervention mechanisms and contextual modifiers, and translate these findings into practical implications for health-system implementation. The review uses 242 references and builds its evidence map from 456 original studies with 23815833 total participants/sample observations (topic-deduplicated ΣN). This scoping review suggests that appointment attendance improves most reliably when interventions reduce practical friction and add personalized, accountable contact, rather than relying on generic one-way reminders. Human phone calls, navigation, pre-discharge scheduling, and fixed rebooking pathways were repeatedly associated with meaningful gains, including a 2.80 odds ratio for tuberculosis clinic attendance with phone reminders and a rise from 43.9% to 62.9% follow-up attendance after embedding a discharge scheduler, whereas financial penalties and generic SMS nudges showed null or inconsistent effects. Because non-attendance clustered with deprivation, minority ethnicity, and transportation barriers, attendance programs should prioritize barrier-matched, equity-centered designs over punitive approaches. The dominant evidence gap is the absence of head-to-head pragmatic comparisons; future research should test adaptive, barrier-matched intervention bundles with standardized attendance endpoints and prespecified equity subgroup analyses.

Keywords: Appointment attendance; Missed appointments; No-show rates; SMS reminders; Phone reminders; Behavioral nudges; Patient adherence; Healthcare access; Transportation barriers; Predictive modeling

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Reference Index (242)

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