Evidence map›Paper›PMID 38961444›Full record

ArticleBMC pregnancy and childbirth2024

Designing a core data set for benign hysterectomy registration system and its implementation in a referral teaching hospital in Northwest Iran.

Fatemeh Moghadami Asl, Elham Maserat, Maryam Vaezi, Zeinab Mohammadzadeh

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Article in BMC pregnancy and childbirth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Fatemeh Moghadami AslDepartment of Health Information Technology, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Daneshgah St, Tabriz, 5165665811, Iran.
Elham MaseratDepartment of Medical Informatics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
Maryam VaeziAssociate professor of Gynecology, Oncology, Department of Obstetrics and Gynecology, Women's Reproductive Health Research Center, Clinical Research Institute, Alzahra Hospital, Tabriz University of Medical Sciences, Tabriz, Iran.
Zeinab MohammadzadehDepartment of Health Information Technology, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Daneshgah St, Tabriz, 5165665811, Iran. Mohammadzadehz@tbzmed.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsAlthough 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.

methodsBetween 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.

resultsDuring 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.

conclusionCreating 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.

Indexed as

Hospitals, TeachingHysterectomyRegistriesAdultDatasets as TopicFemaleHumansIranMiddle AgedQualitative ResearchReferral and ConsultationHysterectomyMinimally invasive hysterectomyMinimum data setPatient registryRegistry

Identifiers

PMID38961444
PMCPMC11223272

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.