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Enhancing colposcopy training using a widely accessible digital education tool in China.
Chen, Mingyang; Xue, Peng; Li, Qing; Shen, Yu; Ye, Zichen; Wang, Huike; Cui, Xiaoli; Zhao, Tiantian; Li, Gaoqin; Seery, Samuel; Wang, Yanzhu; Lin, Qiufen; Zhang, Wenhua; Zhang, Xun; Jiang, Yu; Qiao, Youlin.
Affiliation
  • Chen M; Center for Global Health, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Xue P; Department of Epidemiology and Biostatistics, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Li Q; Diagnosis and Treatment for Cervical Lesions Center, Shenzhen Maternity & Child Healthcare Hospital, Shenzhen, China; Shenzhen Hyzen Hospital, Shenzhen, China.
  • Shen Y; Zonsun Healthcare, Shenzhen, China.
  • Ye Z; Department of Epidemiology and Biostatistics, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Wang H; Center for Global Health, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Cui X; Department of Gynecologic Oncology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, China.
  • Zhao T; Zonsun Healthcare, Shenzhen, China.
  • Li G; Zonsun Healthcare, Shenzhen, China.
  • Seery S; Faculty of Health and Medicine, Division of Health Research, Lancaster University, Lancaster, United Kingdom.
  • Wang Y; Diagnosis and Treatment for Cervical Lesions Center, Shenzhen Maternity & Child Healthcare Hospital, Shenzhen, China.
  • Lin Q; Diagnosis and Treatment for Cervical Lesions Center, Shenzhen Maternity & Child Healthcare Hospital, Shenzhen, China.
  • Zhang W; National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Zhang X; National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Jiang Y; Department of Epidemiology and Biostatistics, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. Electronic address: jiangyu@pumc.edu.cn.
  • Qiao Y; Center for Global Health, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. Electronic address: qiaoy@cicams.ac.cn.
Am J Obstet Gynecol ; 229(5): 538.e1-538.e9, 2023 11.
Article in En | MEDLINE | ID: mdl-37516400
ABSTRACT

BACKGROUND:

Colposcopy is a cornerstone of cervical cancer prevention; however, there is a global shortage of colposcopists. It is challenging to train a sufficient number of colposcopists through in-person methods, which hinders our ability to adequately diagnose and manage positive cases. A digital platform is needed to make colposcopy training more efficient, scalable, and sustainable; however, current online training programs are generally based on didactic curricula that do not incorporate image analysis training. In addition, long-term assessments of online training are not readily available. Therefore, innovative digital training and an assessment of its effectiveness are needed.

OBJECTIVE:

This study aimed to evaluate the short- and long-term effects of DECO (an online Digital Education Tool for Colposcopy) on trainees' colposcopy competencies and confidence. STUDY

DESIGN:

DECO can be used both on laptops and smartphones and comprises 4 training modules (image interpretation; terminology learning; video teaching; and collection of guidelines and typical cases) and 2 test modules. DECO was tested through a pre-post study between September and November 2022. Participants were recruited in China, and DECO training lasted 12 days. Trainees initially learned basic theory before completing training using 200 image-based cases. Pretest, posttest, and follow-up testing included 20 distinct image-based questions, and was conducted on Days 0, 13, and 60. Primary outcomes were competence and confidence scores. Secondary measures were response distributions for colposcopic diagnoses, biopsies, and DECO training satisfaction. Multilevel modeling was used to determine improvement from baseline to posttraining and follow-up for the outcomes of interest.

RESULTS:

Among 402 participants recruited, 96.8% (n=389) completed pretesting, 84.1% (n=338) posttesting, and 75.1% (n=302) follow-up testing. Colposcopic competence and confidence increased across this study. Diagnostic scores improved on average from 55.3 (53.7-56.9) to 70.4 (68.9-71.9). The diagnostic accuracy for normal/benign lesions, low-grade squamous intraepithelial lesions, and high-grade squamous intraepithelial lesions or worse increased by 16.9%, 13.1%, and 16.9%, respectively. Mean confidence scores increased from 48.1 (45.6-50.6) to 56.2 (54.5-57.9). These improvements remained evident 2 months after training. Trainees were also satisfied with DECO overall. Most found DECO to be scientific (82.5%), easy to use (75.2%), and clinically useful (98.4%), and would recommend it to colleagues (93.2%).

CONCLUSION:

DECO is a useful, acceptable digital education tool that improves colposcopy competencies and confidence. DECO could make colposcopy training more efficient, scalable, and sustainable because there are no geographic or time limitations. Therefore, DECO could be used to alleviate the shortage of trained colposcopists around the world.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Uterine Cervical Dysplasia / Uterine Cervical Neoplasms Type of study: Guideline / Prognostic_studies Limits: Female / Humans / Pregnancy Language: En Journal: Am J Obstet Gynecol Year: 2023 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Uterine Cervical Dysplasia / Uterine Cervical Neoplasms Type of study: Guideline / Prognostic_studies Limits: Female / Humans / Pregnancy Language: En Journal: Am J Obstet Gynecol Year: 2023 Document type: Article Affiliation country: China