Development a national minimum data set (MDS) of the information management system for disability in Iran

Ahmadi, Maryam; Madani, Talat; Alipour, Jahanpour

doi:10.1016/j.dhjo.2019.05.008

Cited by 16 publications

(28 citation statements)

References 16 publications

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“…Based on nature and application, the MDS data elements of a disease can be divided into two general categories of administrative and clinical data. The administrative data usually include demographic, socio-economic, address, phone number, patient referral data, and the main characteristic of a healthcare provider or healthcare center [ 15 – 18 ].…”

Section: Introductionmentioning

confidence: 99%

A study to design minimum data set of COVID-19 registry system

et al. 2021

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Background From the beginning of the COVID-19 pandemic, the development of infrastructures to record, collect and report COVID-19‏ ‏data has become a fundamental necessity in the world. The disease registry system can help build an infrastructure to collect data systematically. The study aimed to design a minimum data set for the COVID-19 registry system. Methods A qualitative study to design an MDS for the COVID-19 registry system was performed in five phases at Ahvaz University of Medical Sciences in Khuzestan Province in southwestern Iran, 2020–2021. In the first phase, assessing the information requirements was performed for the COVID-19 registry system. Data elements were identified in the second phase. In the third phase, the MDS was selected, and in the four phases, the COVID-19 registry system was implemented as a pilot study to test the MDS. Finally, based on the experiences gained from the COVID-19 registry system implementation, the MDS were evaluated, and corrections were made. Results MDS of the COVID-19 registry system contains eight top groups including administrative (34 data elements), disease exposure (61 data elements), medical history and physical examination (138 data elements), findings of clinical diagnostic tests (101 data elements), disease progress and outcome of treatment (55 data elements), medical diagnosis and cause of death (12 data elements), follow-up (14 data elements), and COVID-19 vaccination (19 data elements) data, respectively. Conclusion Creating a standard and comprehensive MDS can help to design any national data dictionary for COVID-19 and improve the quality of COVID-19 data.

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Section: Introductionmentioning

confidence: 99%

A study to design minimum data set of COVID-19 registry system

et al. 2021

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“…for healthcare system evaluation on the organizational level and for national and international comparison on the aggregated level. 10,13 Reviewing different studies carried out in pelvic floor disorder, as well as the existing registry systems, provided a basis for defining the core data set. The data elements developed in this project are also in accordance with data items reported for PFD registry protocol developed by AUGS.…”

Section: Resultsmentioning

confidence: 99%

“…Although the developed data set for PFD is rather similar to most previous data sets in some sections such as demographic, surgical and outcome data elements, it contains details of specific data elements such as para clinic, prescription, voiding diary and PFMT which could provide comprehensive data elements required and can be useful in meeting the needs of the PFD data users. Classification of data elements into clinical and demographic groups is similar to the majority of categories of data determined as data sets for breast cancer, 14 traffic accidents, 15 thalassemia, 16 orthopedic injuries, 17 burn injuries, 9 schizophrenia, 18 speech therapy, 19 diabetes mellitus, 20 disability 13 and esophageal atresia 10 . However, since the minimal data set provided is specific to female PFDs, gender is not considered among our established data set.…”

Section: Discussionmentioning

confidence: 99%

“…Lima et al suggested that the collection of clinical data is significant for the permanence of care and developing clinical knowledge, guaranteeing security and managing health care 12 . Indeed, developing a data set is essential as a tool for collecting accurate, clear and uniform data elements for the sustainability of care on an individual level, for healthcare system evaluation on the organizational level and for national and international comparison on the aggregated level 10,13 . Reviewing different studies carried out in pelvic floor disorder, as well as the existing registry systems, provided a basis for defining the core data set.…”

Section: Discussionmentioning

confidence: 99%

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Development of a core data set for pelvic floor disorder patients registry

Reyhan

Damanabi

Kalankesh

et al. 2020

LUTS

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Objectives: Pelvic floor disorders (PFDs) are important public health concerns due to their increasing prevalence. Hence, there is an increasing need for developing systematically collected quality data to assist appropriate clinical decision-making. This study aimed to develop a core data set for patients with PFDs based on the PFDs registry. Methods: A descriptive cross-sectional study was conducted in 2019. Data were retrieved from electronic databases including PubMed, Embase and Google scholar. Available documents and data systems in clinical centers were also assessed. The Delphi technique was applied to reach a consensus about the data elements using a questionnaire. A panel of experts evaluated the content validity of the questionnaire. Results: We developed a dataset for PFDs that included two classes of data (65 data items) identified from the related literature. In the Delphi survey, 74 data elements were determined by the experts and final data were divided into two demographic and clinical categories that included 12 and 62 data elements, respectively. Conclusions: This dataset has the potential for standardizing the data by providing accurate, consistent, complete and uniform data elements. Furthermore, it can provide valuable research facilities for clinicians and researchers in the healthcare system resulting in improvement of the quality of care and containment of costs.

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“…Ahmadi et al, suggested providing specific guidelines on information that should be documented and/or coded [8]. The authors described the development of a national minimum dataset for disabilities in Iran.…”

Section: Quality Of Ehr Datamentioning

confidence: 99%

Findings from the Health Information Management Section of the 2020 International Medical Informatics Association Yearbook

Bloomrosen¹,

Berner

2020

Yearb Med Inform

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Objectives: To summarize the recent literature and research and present a selection of the best papers published in 2019 in the field of Health Information Management (HIM) and Health Informatics. Methods: A systematic review of the literature was performed by the two section editors with the help of a medical librarian. The search through bibliographic databases for HIM-related papers was achieved using both MeSH headings and keywords in titles and abstracts. A shortlist of 15 candidate best papers was first selected by section editors before being peer-reviewed by independent external reviewers. Results: Over half of the 15 papers addressed the issue of data quality in the electronic health record (EHR). In addition to the focus on data quality, there were papers on other topics of long-standing interest to the field of HIM. These topics include privacy, security, and confidentiality of health information, comparability of different coding vocabularies, classifications and terminologies, and the HIM workforce. Finally, there were papers on newer topics for the HIM field, including mobile Health (mHealth), EHR use by public health departments, and usability of different strategies for displaying information in the EHR. Conclusions: Traditional HIM concerns about HIM practice and workforce as well as issues about data in the EHR including data quality, coding, and privacy and confidentiality continue to be a large part of the HIM research literature. However, newer topics which reflect innovative and emerging technologies, usability assessments, and the application of the EHR outside the traditional clinical setting are starting to appear and more research is needed on these newer areas.

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Development a national minimum data set (MDS) of the information management system for disability in Iran

Cited by 16 publications

References 16 publications

A study to design minimum data set of COVID-19 registry system

A study to design minimum data set of COVID-19 registry system

Development of a core data set for pelvic floor disorder patients registry

Findings from the Health Information Management Section of the 2020 International Medical Informatics Association Yearbook

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