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Predictors of missed appointments in patients referred for congenital or pediatric cardiac magnetic resonance.

Predictors of missed appointments in patients referred for congenital or pediatric cardiac magnetic resonance.
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Lu JC, Lowery R, Yu S, Ghadimi Mahani M, Agarwal PP, Dorfman AL,


Lu JC, Lowery R, Yu S, Ghadimi Mahani M, Agarwal PP, Dorfman AL, (click to view)

Lu JC, Lowery R, Yu S, Ghadimi Mahani M, Agarwal PP, Dorfman AL,

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Pediatric radiology 2017 04 21() doi 10.1007/s00247-017-3851-8
Abstract
BACKGROUND
Congenital 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.

OBJECTIVE
To characterize the rate of missed appointments and identify modifiable predictors.

MATERIALS AND METHODS
This 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. RESULTS
Of 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).

CONCLUSION
Demographic 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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