ArticlePediatric radiology2017
Predictors of missed appointments in patients referred for congenital or pediatric cardiac magnetic resonance.
Article in Pediatric radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Social determinants of health and outcomes for children and adults with congenital heart disease: a systematic review.Pediatric research · 2021Pooled it
- Characterizing neurodevelopmental follow-up attendance of children with congenital heart disease.Pediatric research · 2026Article
- Sociodemographic factors and Child Opportunity Index disparities associated with missed care opportunities in pediatric patients with lymphoma and leukemia referred for FDG-PET/CT.Pediatric radiology · 2024Article
- Decision analysis framework for predicting no-shows to appointments using machine learning algorithms.BMC health services research · 2024Article
- Healthcare Use Among Black and White Congenital Heart Disease Medicaid Enrollees.Pediatric cardiology · 2023Article
- Ethnicity and trends in pediatric specialty care clinic attendance at an academic medical center in the rural southeastern US.PLOS global public health · 2023Article
- Improving intervention design to promote cervical cancer screening among hard-to-reach women: assessing beliefs and predicting individual attendance probabilities in Bogotá, Colombia.BMC women's health · 2022Article
- Analysis of socioeconomic and demographic factors and imaging exam characteristics associated with missed appointments in pediatric radiology.Pediatric radiology · 2021Article
- Combining Nonclinical Determinants of Health and Clinical Data for Research and Evaluation: Rapid Review.JMIR public health and surveillance · 2019Review
- Factors associated with appointment non-attendance at a medical imaging department in regional Australia: a retrospective cohort analysis.Journal of medical radiation sciences · 2018Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCongenital cardiac magnetic resonance is a limited resource because of scanner and physician availability. Missed appointments decrease scheduling efficiency, have financial implications and represent missed care opportunities.
objectiveTo characterize the rate of missed appointments and identify modifiable predictors. MATERIALS AND
methodsThis single-center retrospective study included all patients with outpatient congenital or pediatric cardiac MR appointments from Jan. 1, 2014, through Dec. 31, 2015. We identified missed appointments (no-shows or same-day cancellations) from the electronic medical record. We obtained demographic and clinical factors from the medical record and assessed socioeconomic factors by U.S. Census block data by patient ZIP code. Statistically significant variables (P<0.05) were included into a multivariable analysis.
resultsOf 795 outpatients (median age 18.5 years, interquartile range 13.4-27.1 years) referred for congenital cardiac MR, a total of 91 patients (11.4%) missed appointments; 28 (3.5%) missed multiple appointments. Reason for missed appointment could be identified in only 38 patients (42%), but of these, 28 (74%) were preventable or could have been identified prior to the appointment. In multivariable analysis, independent predictors of missed appointments were referral by a non-cardiologist (adjusted odds ratio [AOR] 5.8, P=0.0002), referral for research (AOR 3.6, P=0.01), having public insurance (AOR 2.1, P=0.004), and having scheduled cardiac MR from November to April (AOR 1.8, P=0.01).
conclusionDemographic factors can identify patients at higher risk for missing appointments. These data may inform initiatives to limit missed appointments, such as targeted education of referring providers and patients. Further data are needed to evaluate the efficacy of potential interventions.
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