Rationale and Design of the Registry for Stones of the Kidney and Ureter (ReSKU): A Prospective Observational Registry to Study the Natural History of Urolithiasis Patients

被引:32
作者
Chang, Helena C. [1 ]
Tzou, David T. [1 ]
Usawachintachit, Manint [1 ,2 ,3 ]
Duty, Brian D. [4 ]
Hsi, Ryan S. [1 ]
Harper, Jonathan D. [5 ]
Sorensen, Mathew D. [5 ]
Stoller, Marshall L. [1 ]
Sur, Roger L. [6 ]
Chi, Thomas [1 ]
机构
[1] Univ Calif San Francisco, Dept Urol, 400 Parnassus Ave,Suite A610 Box 0330, San Francisco, CA 94143 USA
[2] Chulalongkorn Univ, Div Urol, Fac Med, Bangkok, Thailand
[3] King Chulalongkorn Mem Hosp, Bangkok, Thailand
[4] Oregon Hlth & Sci Univ, Dept Urol, Portland, OR 97201 USA
[5] Univ Washington, Dept Urol, Seattle, WA 98195 USA
[6] Univ Calif San Diego, Dept Urol, La Jolla, CA 92093 USA
关键词
prospective studies; registries; urolithiasis; EAU GUIDELINES; COMPLICATIONS; MANAGEMENT; PROGRAM;
D O I
10.1089/end.2016.0648
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Objectives: Registry-based clinical research in nephrolithiasis is critical to advancing quality in urinary stone disease management and ultimately reducing stone recurrence. A need exists to develop Health Insurance Portability and Accountability Act (HIPAA)-compliant registries that comprise integrated electronic health record (EHR) data using prospectively defined variables. An EHR-based standardized patient database-the Registry for Stones of the Kidney and Ureter (ReSKU (TM))-was developed, and herein we describe our implementation outcomes. Materials and Methods: Interviews with academic and community endourologists in the United States, Canada, China, and Japan identified demographic, intraoperative, and perioperative variables to populate our registry. Variables were incorporated into a HIPAA-compliant Research Electronic Data Capture database linked to text prompts and registration data within the Epic EHR platform. Specific data collection instruments supporting New patient, Surgery, Postoperative, and Follow-up clinical encounters were created within Epic to facilitate automated data extraction into ReSKU. Results: The number of variables within each instrument includes the following: New patient-60, Surgery-80, Postoperative-64, and Follow-up-64. With manual data entry, the mean times to complete each of the clinic-based instruments were (minutes) as follows: New patient-12.06 +/- 2.30, Postoperative-7.18 +/- 1.02, and Follow-up-8.10 +/- 0.58. These times were significantly reduced with the use of ReSKU structured clinic note templates to the following: New patient-4.09 +/- 1.73, Postoperative-1.41 +/- 0.41, and Follow-up-0.79 +/- 0.38. With automated data extraction from Epic, manual entry is obviated. Conclusions: ReSKU is a longitudinal prospective nephrolithiasis registry that integrates EHR data, lowering the barriers to performing high quality clinical research and quality outcome assessments in urinary stone disease.
引用
收藏
页码:1332 / 1338
页数:7
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