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Showing 5 results for Minimum Data Set
The degree of compliance of the information elements in the pathology center information system with the minimum set of cancer record data
Maedeh Hashemi Poor, Mehraban Shahi,
Volume 4, Issue 2 (10-2018)
Abstract
Aim: Achieving high quality cancer registration processes requires, a set of minimum defined data besides standardized. Determining the minimum set of data ensures that all the necessary data are collected in an integrated manner, and plays a role in the integrity of the data. The aim of this study was to determine the compatibility of data elements in laboratory information system of Hormozgan Pathology Centers with Minimum Data Set (MDS) in Demographic Cancer Registration Program (PBCR).
Methods: This descriptive study is a cross-sectional LIS research where data were compared in lab with the minimum data set. The data collection tool was a checklist containing 30 items in 3 sections including the general profile of the pathology lab, the pathology reports structure, and the pathological information system. Data analysis was done using descriptive statistics of SPSS20.
Results: All elements of patient identity information, information provider and data related to the acceptance date of the sample and type of sample, information elements of pathologic diagnosis, and the reporting date were available in all pathology software. All pathology LIS had a section on the history of the report, but only 44% of them had a dedicated section for diagnostic codes that users did not have information about or its use.
Conclusion: The LIS matching with the PBCR-specific MDS showed that all the necessary data are available in the LIS and should be reminded for their completion by the personnel of the pathology labs.

Development a minimum data set for chronic venous disease
Sahar Nabati, Mohammad Mahdi Kamyar, Khalil Kimiafar, Mohammad Hadi Modaghegh, Alireza Banaye Yazdipour, Masoumeh Sarbaz,
Volume 6, Issue 1 (6-2020)
Abstract
Aim:Today, chronic venous diseases are common health problems that can cause death worldwide. The existence of a minimum dataset can be a valuable and standard tool for collecting and registering the data of these patients in the chronic venous disease registry. Therefore, the present study aimed to develop a minimal data set for chronic venous disease registry.
Methods: This applied and descriptive cross-sectional study was conducted in two stages in 2018-19. In the first step, information relevant to the data elements was extracted from Google's search engine and PubMed, Science Direct, and Google Scholar databases based on literature review without time constraints. In the second stage, a Delphi questionnaire was developed using the information obtained from the first stage and given to 15 vascular surgery specialists. During the two Delphi stages, the minimum data set for chronic venous disease registry was determined. Data analysis in both stages was conducted using descriptive statistics in the SPSS v.16 software.
Results:In chronic venous disease, a total of 349 items were collected for the categorization of demographic information, communication, baseline information, and clinical categories. After the first Delphi phase, of the 336 gradable items, 215 gained the required score and 57 were deleted. Eventually, 63 items with a median of 3 and 3.5 based on the suggested items (13 items) were entered the Delphi. A total of 76 items entered the second phase, of which 28 items were selected eventually. Finally, 243 items in 16 subsets were determined as the minimum data set for chronic venous disease.
Conclusion:Today, given the growing trend of chronic venous disease, the existence of a minimum data set can play an important role in improving the quality of care, reducing costs, and evaluating treatments. Moreover, it can be considered as a standard for data collection and registration in the registry.

Developing a minimum data set for malnutrition in children under five years
Behnaz Imani, Somayeh Nasiri, Farahnaz Sadoughi,
Volume 6, Issue 3 (12-2020)
Abstract
Aim: To identify the main causes of malnutrition in childhood, it is necessary to collect quality and coherent data at the national level, which requires the creation of a minimum data set. Therefore, the present study aimed to design a minimum set of malnutrition data for children under five years of age.
Methods: This quantitative applied study was conducted in two stages in 2019. In the first step, the descriptive-comparative method was used to compare the data elements needed for malnutrition in children under five at the national and international levels. In the second stage, the initial MDS was designed and then validated by experts in two rounds using the Delphi method. The study population was composed of 30 experts in nutritionists and pediatrics who were selected by non-random purposive sampling (criterion Sampling) finally, the cases reached a collective agreement of more than 75% were included in the MDS. The items with a score below 50% were excluded from the proposed MDS. The collected data were analyzed by using descriptive statistics and Excel software.
Results: Approved MDS for malnutrition in children under five had 56 data elements and seven subsets, including child development, demographic and management, clinical and diagnostic examinations, nutritional status, medical history, and tests.
Conclusion: The development of MDS plays an important role in improving the quality of information management and early detection of childhood malnutrition. In order to gather uniform data, achieve an integrated information system, and facilitate the sharing of malnutrition data, it is recommended to use this MDS.

Designing a Minimum Data Set for Spinal Muscular Atrophy Registry in Iran
Hadiseh Azadi Cheshmekabodi, Dr Somayeh Nasiri, Farahnaz Sadoughi,
Volume 10, Issue 2 (7-2024)
Abstract
Objective Spinal muscular atrophy (SMA) is the most frequent neuromuscular disorder affecting spinal motor neurons. It is important to collect quality and consistent data on this disease at the national level by developing a minimum data set (MDS). Therefore, the present study aimed to develop an MDS for the SMA registry in Iran.
Methods This is a descriptive-comparative study that was conducted in 2020. In the first stage, the data elements were extracted from the medical records of patients with SMS in Iran. In the second stage, the data elements were compared with those in the national and international registries. In the third stage, to validate the initial MDS, a questionnaire was designed whose validity was confirmed by 16 experts, including neurologists and geneticists, in two Delphi rounds. Finally, the data elements that obtained an inter-rater agreement of 75% or more were included in the final MDS. The data were analyzed using descriptive statistics in Excel software, version 2019.
Results The MDS developed for the SMA registry included 65 data elements in 10 subsets of demographic data, patient clinical history, family history, diagnostic and genetic tests, respiratory status, mobility status, nutritional status, pharmaceutical and therapeutic measures, service provider, and mortality.
Conclusion The developed MDS is recommended to be used to collect integrated information about the SMA in Iran, which can play an important role in improving the quality of information, evaluating the treatment and disease progression, planning and health policy at the national level and reducing medical costs. 

Designing a minimum data set for breast prosthesis registry
Fatemeh Mobasheri, Somayeh Nasiri, Ali Akbar Mohammadi,
Volume 10, Issue 3 (12-2024)
Abstract
Introduction: The growing prevalence of breast implant surgery for both aesthetic and reconstructive purposes, coupled with the imperative for robust, evidence-based assessments, underscores the critical need for a standardized data collection system to capture high-quality data in the field of breast prosthetics. Consequently, the primary objective of this study was to develop a minimum data set (MDS) for a breast prosthesis registry in Iran.
Methods: This applied study was conducted in 2023. In the initial stage, a descriptive analysis was performed on medical records from Amir al-Momenin and Shahid Faqihi educational hospitals in Shiraz to identify existing breast prosthesis data elements. Subsequently, a descriptive-comparative analysis was employed to compare the required data elements in national registries of selected countries (the Netherlands, England, the United States, Korea, Sweden, and Australia). In the third stage, a Delphi questionnaire was designed and distributed to 20 plastic and cosmetic surgery specialists for validation, with 16 responding. Through two rounds of Delphi consensus, items achieving a collective agreement score above 75% were included in the final minimum data set for the breast prosthesis registry. Data analysis was performed using descriptive statistics with SPSS version 20.
Results: Of the 79 data elements proposed for expert consensus, 53 achieved agreement. These elements were categorized into eight subsets: patient demographics (10 elements), socioeconomic information (2 elements), physician and medical characteristics (6 elements), diagnosis information and clinical history (16 elements), prosthesis characteristics (5 elements), surgical procedures (9 elements), potential complications (2 elements), and follow-up (3 elements).
Discussion: It is anticipated that the proposed minimum data set will significantly contribute to information integration, enhanced quality of care, and improved safety for breast prosthesis recipients. Consequently, the inclusion of a minimum data set within the breast prosthesis registry is crucial for the collection of standardized data and the facilitation of data sharing.

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