ArticleJournal of general internal medicine2015
Appointment "no-shows" are an independent predictor of subsequent quality of care and resource utilization outcomes.
Article in Journal of general internal medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07779161 (Effect of Reminder Strategies on No-Show Rates in a Nicotine Cessation Clinic), which is not on this map. Cited by 71 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Effect of Reminder Strategies on No-Show Rates in a Nicotine Cessation Clinic: A Randomized Controlled Trial
Who cites it
71 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Predictive model-based interventions to reduce outpatient no-shows: a rapid systematic review.Journal of the American Medical Informatics Association : JAMIA · 2023Pooled it
- Understanding barriers of receiving short message service appointment reminders across African regions: a systematic review.BMJ health & care informatics · 2022Pooled it
- Factors associated with missed appointments by adults with type 2 diabetes mellitus: a systematic review.BMJ open diabetes research & care · 2021Pooled it
- Effect of a Patient Portal Reminder Message After No-Show on Appointment Reattendance in Ophthalmology: A Randomized Clinical Trial.American journal of ophthalmology · 2024Trial
- Using Nudges to Reduce Missed Appointments in Primary Care and Mental Health: a Pragmatic Trial.Journal of general internal medicine · 2023Trial
- The success of behavioral economics in improving patient retention within an intensive primary care practice.BMC family practice · 2021Trial
- Enhancing Usability of Appointment Reminders: Qualitative Interviews of Patients Receiving Care in the Veterans Health Administration.Journal of general internal medicine · 2021Trial
- Association of Rideshare-Based Transportation Services and Missed Primary Care Appointments: A Clinical Trial.JAMA internal medicine · 2018Trial
- Targeted Reminder Phone Calls to Patients at High Risk of No-Show for Primary Care Appointment: A Randomized Trial.Journal of general internal medicine · 2016Trial
- Patterns of appointment cancellations and no-shows across and within ophthalmology subspecialties.Eye (London, England) · 2026Article
- Relationship Between Unmet Transportation Needs and Missed Primary Care Appointments: An Observational Study.Journal of general internal medicine · 2026Article
- Exploring the Association Between Adverse Childhood Experiences and Missed Primary Care Appointments in Adult Patients.The Permanente journal · 2026Article
- Clinic visit no-shows and last-minute cancellations are common among teens and emerging adults with type 1 diabetes.Diabetic medicine : a journal of the British Diabetic Association · 2026Article
- Preferences for Personalized Text Message Appointment Reminders Among Outpatients in a Universal Health System: Cross-Sectional Study.Journal of medical Internet research · 2026Article
- Global Predictors of Appointment Non-Adherence in Primary Care Settings: A Systematic Review.Healthcare (Basel, Switzerland) · 2026Review
- Overcoming Transportation Barriers for Low-Income Individuals with Chronic Conditions: Identifying Barriers and Strategies in Access to Healthcare and Food as Medicine (FAM).Healthcare (Basel, Switzerland) · 2025Article
- Association Between Sociodemographic Risk Factors and No-Show Propensity in a Glaucoma Population Before and During COVID-19 Pandemic.Journal of glaucoma · 2025Article
- Predicting Missed Appointments in Primary Care: A Personalized Machine Learning Approach.Annals of family medicine · 2025Article
- External Validation of an EHR-Based Model for Risk of Patient No-Show in Primary Care.JAMA network open · 2025Article
- Comparing 3 Evidence-Based Strategies to Reduce Cardiovascular Disease Burden: An Individual-Based Cardiometabolic Policy Simulation.Journal of the American Heart Association · 2025Article
11 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIdentifying individuals at high risk for suboptimal outcomes is an important goal of healthcare delivery systems. Appointment no-shows may be an important risk predictor.
objectivesTo test the hypothesis that patients with a high propensity to "no-show" for appointments will have worse clinical and acute care utilization outcomes compared to patients with a lower propensity.
designWe calculated the no-show propensity factor (NSPF) for patients of a large academic primary care network using 5 years of outpatient appointment data. NSPF corrects for patients with fewer appointments to avoid over-weighting of no-show visits in such patients. We divided patients into three NSPF risk groups and evaluated the association between NSPF and clinical and acute care utilization outcomes after adjusting for baseline patient characteristics.
participantsA total of 140,947 patients who visited a network practice from January 1, 2007, through December 31, 2009, and were either connected to a primary care physician or to a primary care practice, based on a previously validated algorithm. MAIN MEASURES: Outcomes of interest were incomplete colorectal, cervical, and breast cancer screening, and above-goal hemoglobin A1c (HbA1c) and low-density lipoprotein (LDL) levels at 1-year follow-up, and hospitalizations and emergency department visits in the subsequent 3 years. KEY
resultsCompared to patients in the low NSPF group, patients in the high NSPF group (n=14,081) were significantly more likely to have incomplete preventive cancer screening (aOR 2.41 [2.19-.66] for colorectal, aOR 1.85 [1.65-.08] for cervical, aOR 2.93 [2.62-3.28] for breast cancer), above-goal chronic disease control measures (aOR 2.64 [2.22-3.14] for HbA1c, aOR 1.39 [1.15-1.67] for LDL], and increased rates of acute care utilization (aRR 1.37 [1.31-1.44] for hospitalization, aRR 1.39 [1.35-1.43] for emergency department visits).
conclusionsNSPF is an independent predictor of suboptimal primary care outcomes and acute care utilization. NSPF may play an important role in helping healthcare systems identify high-risk patients.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.