Ali Rashidi, Thao Pham, Aldo Arce, Diya Garg, Gelareh Sadigh
{"title":"价格透明度与患者决定完成门诊影像之间的关系。","authors":"Ali Rashidi, Thao Pham, Aldo Arce, Diya Garg, Gelareh Sadigh","doi":"10.1016/j.clinimag.2024.110397","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>The impact of price transparency on patients' decisions to receive the recommended care is unclear. This study aimed to assess the utilization rate of hospital price estimator tools for outpatient imaging appointments, and the association between price estimator utilization and subsequent imaging completion.</p><p><strong>Methods: </strong>In this retrospective, cross-sectional study, adult patients with scheduled outpatient radiology examinations between August 2022 and 2023 at a single tertiary academic health system were included. Data regarding whether an out-of-pocket cost (OOPC) estimate was generated for the scheduled imaging exam, the estimate generation date, amount, generator (patient vs. staff), the date of first view by patients, appointment status (completed vs. missed appointment), and demographics were extracted. The association between price estimator use and imaging completion was assessed using generalized estimation equation multivariable regression models.</p><p><strong>Results: </strong>A total of 470,422 imaging encounters (mean age: 55.6 ± 19.1; 57.5 % female; 56.3 % white) were included. Overall, 70,437 (15.0 %) OOPC estimates were generated (99.9 % by hospital staff and 0.1 % by patients). There was a higher number of self-pay patients among those with self-generated (55.8 %) vs. staff-generated (8.9 %) estimates (P < 0.001). The odds of imaging appointment completion were significantly higher when an OOPC estimate was generated (OR,1.91; 95 % CI, 1.87, 1.95), and significantly lower when the estimate was self-generated (OR,0.29; 95%CI, 0.17, 0.51).</p><p><strong>Conclusion: </strong>Price-aware patients with staff-generated cost estimates were more likely to complete imaging. Self-pay patients were more likely to self-generate estimates, which was associated with lower likelihood of completing imaging.</p>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":"119 ","pages":"110397"},"PeriodicalIF":1.8000,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Association between price transparency and patient decision to complete outpatient imaging.\",\"authors\":\"Ali Rashidi, Thao Pham, Aldo Arce, Diya Garg, Gelareh Sadigh\",\"doi\":\"10.1016/j.clinimag.2024.110397\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>The impact of price transparency on patients' decisions to receive the recommended care is unclear. This study aimed to assess the utilization rate of hospital price estimator tools for outpatient imaging appointments, and the association between price estimator utilization and subsequent imaging completion.</p><p><strong>Methods: </strong>In this retrospective, cross-sectional study, adult patients with scheduled outpatient radiology examinations between August 2022 and 2023 at a single tertiary academic health system were included. Data regarding whether an out-of-pocket cost (OOPC) estimate was generated for the scheduled imaging exam, the estimate generation date, amount, generator (patient vs. staff), the date of first view by patients, appointment status (completed vs. missed appointment), and demographics were extracted. The association between price estimator use and imaging completion was assessed using generalized estimation equation multivariable regression models.</p><p><strong>Results: </strong>A total of 470,422 imaging encounters (mean age: 55.6 ± 19.1; 57.5 % female; 56.3 % white) were included. Overall, 70,437 (15.0 %) OOPC estimates were generated (99.9 % by hospital staff and 0.1 % by patients). There was a higher number of self-pay patients among those with self-generated (55.8 %) vs. staff-generated (8.9 %) estimates (P < 0.001). The odds of imaging appointment completion were significantly higher when an OOPC estimate was generated (OR,1.91; 95 % CI, 1.87, 1.95), and significantly lower when the estimate was self-generated (OR,0.29; 95%CI, 0.17, 0.51).</p><p><strong>Conclusion: </strong>Price-aware patients with staff-generated cost estimates were more likely to complete imaging. Self-pay patients were more likely to self-generate estimates, which was associated with lower likelihood of completing imaging.</p>\",\"PeriodicalId\":50680,\"journal\":{\"name\":\"Clinical Imaging\",\"volume\":\"119 \",\"pages\":\"110397\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2024-12-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Imaging\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.clinimag.2024.110397\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Imaging","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.clinimag.2024.110397","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
Association between price transparency and patient decision to complete outpatient imaging.
Purpose: The impact of price transparency on patients' decisions to receive the recommended care is unclear. This study aimed to assess the utilization rate of hospital price estimator tools for outpatient imaging appointments, and the association between price estimator utilization and subsequent imaging completion.
Methods: In this retrospective, cross-sectional study, adult patients with scheduled outpatient radiology examinations between August 2022 and 2023 at a single tertiary academic health system were included. Data regarding whether an out-of-pocket cost (OOPC) estimate was generated for the scheduled imaging exam, the estimate generation date, amount, generator (patient vs. staff), the date of first view by patients, appointment status (completed vs. missed appointment), and demographics were extracted. The association between price estimator use and imaging completion was assessed using generalized estimation equation multivariable regression models.
Results: A total of 470,422 imaging encounters (mean age: 55.6 ± 19.1; 57.5 % female; 56.3 % white) were included. Overall, 70,437 (15.0 %) OOPC estimates were generated (99.9 % by hospital staff and 0.1 % by patients). There was a higher number of self-pay patients among those with self-generated (55.8 %) vs. staff-generated (8.9 %) estimates (P < 0.001). The odds of imaging appointment completion were significantly higher when an OOPC estimate was generated (OR,1.91; 95 % CI, 1.87, 1.95), and significantly lower when the estimate was self-generated (OR,0.29; 95%CI, 0.17, 0.51).
Conclusion: Price-aware patients with staff-generated cost estimates were more likely to complete imaging. Self-pay patients were more likely to self-generate estimates, which was associated with lower likelihood of completing imaging.
期刊介绍:
The mission of Clinical Imaging is to publish, in a timely manner, the very best radiology research from the United States and around the world with special attention to the impact of medical imaging on patient care. The journal''s publications cover all imaging modalities, radiology issues related to patients, policy and practice improvements, and clinically-oriented imaging physics and informatics. The journal is a valuable resource for practicing radiologists, radiologists-in-training and other clinicians with an interest in imaging. Papers are carefully peer-reviewed and selected by our experienced subject editors who are leading experts spanning the range of imaging sub-specialties, which include:
-Body Imaging-
Breast Imaging-
Cardiothoracic Imaging-
Imaging Physics and Informatics-
Molecular Imaging and Nuclear Medicine-
Musculoskeletal and Emergency Imaging-
Neuroradiology-
Practice, Policy & Education-
Pediatric Imaging-
Vascular and Interventional Radiology