Development of Quality Indicators for the Ultrasound Department through a Modified Delphi Method

Author:

Zeng Aiping12,Gu Yang12,Ma Li12,Tao Xixi12,Gao Luying12,Li Jianchu12,Wang Hongyan12,Jiang Yuxin12

Affiliation:

1. Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing 100730, China

2. National Ultrasound Medical Quality Control Center, Beijing 100730, China

Abstract

This study aims to establish precise quality indicators for evaluating and enhancing ultrasound performance, employing a methodology based on a comprehensive review of the literature, expert insights, and practical application experiences. We conducted a thorough review of both the domestic and international literature on ultrasound quality control to identify potential indicators. A dedicated team was formed to oversee the complete indicator development process. Utilizing a three-round modified Delphi method, we sought expert opinions through personalized email correspondence. Subsequently, data from diverse hospital indicators were collected to validate and assess feasibility. A novel set of seven indicators was compiled initially, followed by the convening of a 36-member nationally representative expert panel. After three rounds of meticulous revisions, consensus was reached on 13 indicators across three domains. These finalized indicators underwent application in various hospital settings, demonstrating their initial validity and feasibility. The development of thirteen ultrasound quality indicators represents a significant milestone in evaluating ultrasound performance. These indicators empower hospitals to monitor changes in quality effectively, fostering efficient quality management practices.

Funder

International Health Exchange and Cooperation Center

National High Level Hospital Clinical Research Funding

Publisher

MDPI AG

Subject

Clinical Biochemistry

Reference31 articles.

1. Ultrasound Practice Redesign to Improve Image Quality: Implementation of a Quality Control Sonographer;Caserta;J. Am. Coll. Radiol.,2020

2. Magnetic resonance imaging quality control, quality assurance and quality improvement;Sreedher;Pediatr. Radiol.,2021

3. OECD/WHO (2019). Improving Healthcare Quality in Europe: Characteristics, Effectiveness and Implementation of Different Strategies, OECD Publishing.

4. Key Performance Indicators for Quality Imaging Practice: Why, What, and How;Nelson;J. Am. Coll. Radiol.,2022

5. Continuous quality improvement programs provide new opportunities to drive value innovation initiatives in hospital-based radiology practices;Steele;J. Am. Coll. Radiol.,2009

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