2023 ARRS ANNUAL MEETING - ABSTRACTS

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E2260. Topics Most Predictive of Favorable Patient Satisfaction in Outpatient Radiology
Authors
  1. Amna Ajam; The Ohio State University College of Medicine
  2. Colin Berkheimer; Lake Erie College of Osteopathic Medicine
  3. Bin Xing; GE Healthcare
  4. Aadil Umerani; The Ohio State University College of Medicine
  5. Shayaan Rasheed; The Ohio State University College of Medicine
  6. Xuan Nguyen; The Ohio State University College of Medicine
Objective:
Patients’ subjective experiences during clinical interactions may affect their engagement in healthcare, and better understanding of the issues patients consider most important may help improve service quality and patient-staff relationships. Although diagnostic imaging is a growing component of healthcare utilization, few studies have quantitatively and systematically assessed what patients deem most relevant in radiology settings. To elucidate factors driving patient satisfaction in outpatient radiology, we derived quantitative models to identify items most predictive of patients’ overall assessment of radiology encounters.

Materials and Methods:
Press-Ganey survey data (n = 69,319) collected over a 9-year period at a single institution were retrospectively analyzed, with each item response dichotomized as favorable or unfavorable. Multiple logistic regression analyses were performed on 18 binarized Likert items to compute odds ratios (OR) for those question items significantly predicting overall rating of care or likelihood of recommending. In a secondary analysis to identify topics more relevant to radiology than other encounter types, items significantly more predictive of concordant ratings in radiology compared to nonradiology visits were also identified.

Results:
Among radiology survey respondents, top predictors of overall rating and likelihood of recommending were items addressing patient concerns or complaints (OR 6.8 and 4.9, respectively) and sensitivity to patient needs (OR 4.7 and 4.5, respectively). When comparing radiology and nonradiology visits, the top items more predictive for radiology included unfavorable responses to helpfulness of registration desk personnel (OR 1.4-1.6), comfort of waiting areas (OR 1.4), and ease of obtaining an appointment at the desired time (OR 1.4).

Conclusion:
Items related to patient-centered empathic communication were the most predictive of favorable overall ratings among radiology outpatients, whereas underperformance in logistical issues related to registration, scheduling, and waiting areas may have greater adverse impact on radiology than nonradiology encounters. Findings may offer potential targets for future quality improvement efforts.