关键词: Hysterectomy Minimally invasive hysterectomy Minimum data set Patient registry Registry

Mesh : Humans Female Iran Hysterectomy / methods statistics & numerical data Registries Hospitals, Teaching Adult Middle Aged Referral and Consultation / statistics & numerical data Qualitative Research Datasets as Topic

来  源:   DOI:10.1186/s12884-024-06656-z   PDF(Pubmed)

Abstract:
OBJECTIVE: Although minimally invasive hysterectomy offers advantages, abdominal hysterectomy remains the predominant surgical method. Creating a standardized dataset and establishing a hysterectomy registry system present opportunities for early interventions in reducing volume and selecting benign hysterectomy methods. This research aims to develop a dataset for designing benign hysterectomy registration system.
METHODS: Between April and September 2020, a qualitative study was carried out to create a data set for enrolling patients who were candidate for hysterectomy. At this stage, the research team conducted an information needs assessment, relevant data element identification, registry software development, and field testing; Subsequently, a web-based application was designed. In June 2023the registry software was evaluated using data extracted from medical records of patients admitted at Al-Zahra Hospital in Tabriz, Iran.
RESULTS: During two months, 40 patients with benign hysterectomy were successfully registered. The final dataset for the hysterectomy patient registry comprise 11 main groups, 27 subclasses, and a total of 91 Data elements. Mandatory data and essential reports were defined. Furthermore, a web-based registry system designed and evaluated based on data set and various scenarios.
CONCLUSIONS: Creating a hysterectomy registration system is the initial stride toward identifying and registering hysterectomy candidate patients. this system capture information about the procedure techniques, and associated complications. In Iran, this registry can serve as a valuable resource for assessing the quality of care delivered and the distribution of clinical measures.
摘要:
目的:虽然微创子宫切除术具有优势,腹式子宫切除术仍然是主要的手术方法。创建标准化数据集和建立子宫切除术登记系统为减少体积和选择良性子宫切除术方法的早期干预提供了机会。本研究旨在开发一个用于设计良性子宫切除术配准系统的数据集。
方法:在2020年4月至9月之间,进行了一项定性研究,以创建一个数据集,用于招募子宫切除术的候选患者。在这个阶段,研究小组进行了信息需求评估,相关数据元素标识,注册表软件开发,和现场测试;随后,设计了一个基于Web的应用程序。2023年6月,使用从大不里士Al-Zahra医院收治的患者的医疗记录中提取的数据对注册软件进行了评估,伊朗。
结果:在两个月内,40例良性子宫切除术患者均成功登记。子宫切除术患者登记的最终数据集包括11个主要组,27个子类,总共91个数据元素。定义了强制性数据和基本报告。此外,基于Web的注册系统,根据数据集和各种场景进行设计和评估。
结论:创建子宫切除术登记系统是识别和登记子宫切除术候选患者的第一步。此系统捕获有关程序技术的信息,和相关的并发症。在伊朗,该注册可以作为评估所提供护理质量和临床措施分布的宝贵资源.
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