minimum data set

The minimum data set is the first important step in developing a health information system. Considering that in recent years we have been faced with growth and accumulation in the minimum data set research. Therefore, the aim of this study is to conduct a systematic library analysis of the minimum data set and understanding of the field of research and trends.

The present study, with the scientific mapping, and bibliometric approach, examined the scientific publications in the minimum data set research in the PubMed on May 16, 2022. Searches were not limited by publication type, date, or language. The data were exported to Microsoft Excel 2016 and Mendeley Desktop version 1.19.8. after screening based on PRISMA checklist, bibliometric analysis, and scientific mapping were done using the RStudio package and the VOSviewer software tool.

About 35 % of the publications in the field have been published since 2017 and mainly in the Journal of the American Geriatrics Society and Journal of the American Medical Directors Association. The top and most popular authors are MOR V., Fries B.e. And j.n. Morris, that has strong cooperation relationships. The United States also has the most scientific production, and most articles have been published nationally. The analysis of the author's keywords also showed the top five keywords are Humans, Aged, Female, Male and Standards.

Although global studies on minimum data set have a long history, they are still growing. Recently, it has shown promising applications in information systems and clinical research.

 The primary treatment for ureteric obstruction in modern urological practice is the placement of a ureteral stent. Likewise, a standard tool is needed for collecting the data to ensure the ureteral stent is removed. The purpose of this study is to identify the minimum data set (MDS) required for the ureteral stent registry at Urmia University of Medical Sciences.

This research is a cross-sectional descriptive study conducted in two phases. The first phase extracted relevant data elements based on previous studies. In the second phase, a Delphi questionnaire was compiled and given to 20 urologists and experts in medical informatics and health information management using the data elements obtained from the first phase. The MDS of the system was determined during two Delphi steps. This study used descriptive statistics and SPSS software for data analysis.

A total of 78 data items were identified through analyzing various articles. After evaluating the results of the two stages of the Delphi questionnaire, the MDS for the ureteral stent registry was finalized with 63 data elements in 7 categories, including demographic information, social history, medical history, clinical information, diagnostic measures, treatment measures, and patient discharge.

This study aimed to propose a MDS for the ureteral stent registry system. This data can greatly assist in effectively organizing information, supporting evidence-based decision-making, and facilitating high-quality clinical research. Furthermore, it enables the evaluation of treatment outcomes, monitoring of progress, and comparison of care standards.

Mobile-based applications have become increasingly critical for healthcare delivery worldwide over the past few years. Developing a mobile application for hemophilia self-care is one of the tools that can provide helpful information about the disease, reminders, and treatment recommendations. This study aims to determine a minimum data set as the first step in developing a hemophilia self-care mobile application.

This descriptive-analytical study was conducted in 2023 and consisted of three steps. In the first step, relevant databases such as PubMed, Scopus, and Science Direct were reviewed. The data elements collected in the previous step were combined, and their validity was checked and confirmed in the second step. In the last step, all ten hematologists-oncologists at Imam Khomeini hospital complex, affiliated with Tehran university of medical sciences, completed a questionnaire to score the identified elements. Statistical analysis was performed using SPSS (Ver 16).

Based on global guidelines, published research, and specialists' feedback, the minimum data set for hemophilia management was developed. There are four main categories and twenty-three subclasses of identified elements, including demographic data (5 elements), disease management-related data (12 elements), educational data (3 elements), and technical capabilities (3 elements). To determine the importance of each data element, we calculated the percentage points provided by specialists, which were 95.50% for demographic data, 96.45% for disease management-related data, 95.83% for educational data, and 95.83% for technical capabilities.

Due to the lack of hemophilia’s minimum data set at the national level, this study can serve as a turning point toward standardized data collection for this disease. By utilizing these precise, coherent, and standard data elements, hemophilia management and quality of life can be improved.

There is a close relationship between mental health and psychosocial problems in disaster settings, as well as overlap in the support provided for these problems. Therefore, public health officials need to understand the burden of behavioral health conditions among survivors and the needs of the affected community. This study aimed to develop a mental health minimum data set for an electronic disaster registry system to provide timely, essential, and accurate information to personnel on the ground and policymakers to design a disaster response and develop an action plan rapidly.

The present study is a mixed‑method (sequential exploratory) study. In the qualitative phase, a literature review and semi‑structured interviews with experts were conducted to generate an item pool for the mental health response in disasters. In the quantitative phase the quantitative content validity, content validity ratio and content validity index were used.

proposed data elements, 85 data elements were confirmed according to the opinion of experts and categorized into two main parts, pre-disaster part with three sections; including region profile, mental health local background, regional mental health committee affairs, and post-disaster parts with five sections including disaster information, information of mental health teams, mental health status, mental health interventions, and mental health need assessment.

Collecting this minimum data set is critical for helping policymakers and healthcare providers prevent, control, and manage the mental health impacts of disasters during the response phase. Besides facilitating and promoting disaster prevention and response programs and measures.

Mucormycosis, the third most prevalent invasive fungal disease ranked, has a very high mortality rate. The timely diagnosis, coupled with the prompt administration of drug and surgical interventions, yields a substantial reduction in mortality rates. To accomplish these objectives, the acquisition of accurate data and information assumes paramount importance. A minimum data set serves as a crucial tool for data collection, offering healthcare managers a standardized information resource. Consequently, the aim of this study was to develop a MDS to mucormycosis in Iran.

This research was conducted using a practical approach, employing a two-step Delphi method. An extensive literature review was conducted aimed at extracting relevant information specific to mucormycosis. two individual checklists were developed. Following these checklists underwent rigorous evaluation through the Delphi, involving the 20 experts, consisting of five specialists each in the fields of infectious diseases, dermatology, otolaryngology, and health information management.

Experts thoroughly examined a total of 72 out of 86 items on the demographic information checklist throughout both the initial and second phases of the Delphi process. Furthermore, within the clinical information checklist, experts meticulously evaluated 303 out of 323 data elements during the first and second phases of the Delphi process. The demographic checklist was structured into four categories basic information, demographic information, insurance information, and referral information. The clinical checklist consisted of seven categories, encompassing risk factors, types of mucormycosis disease, clinical signs and symptoms, diagnosis, species, treatment, and outcomes.

In recent years, the prevalence of underlying diseases has witnessed an upward trend, resulting in a subsequent escalation in the number of mucormycosis patients. In light of the burgeoning incidence of mucormycosis cases in Iran, it becomes imperative to establish a standardized MDS for this disease.

Rheumatoid arthritis is a systemic, chronic autoimmune disease that affects the joints, and limited mobility. The disease is progressive and can significantly impact a patient's quality of life. Today, mobile applications have the potential to address specific health needs and provide therapeutic interventions. The initial stage of constructing and advancing a healthcare information system involves the utilization of a minimum data set, which comprises essential and standardized data components aimed at capturing and overseeing patient care. This study aims to identify key components for a mobile-based self-care application for patients with rheumatoid arthritis.

In this descriptive analytical study, two steps were undertaken. Firstly, a review of related articles and existing apps was conducted. Secondly, a researcher-developed questionnaire with a high reliability coefficient (Cronbach's alpha=0.97) was used to validate the identified information elements. Elements that scored at least an average of 3.2 (60%) on a 5 point Likert scale were deemed necessary data components for the design of an android-based mobile app catering to the self-care needs of rheumatoid arthritis patients.

Based on the analysis findings, experts identified crucial technical requirements for a mobile-based self-management system. The system should include features for documenting drug side effects and providing educational content and physical exercise videos. Additionally, these requirements encompass reminders for medication, doctor appointments, and physical activities. Priorities also include clinical information, lifestyle management, and patient demographics.

Overall, the implementation of such a system has the potential to enhance patients' self-management skills, promote active involvement in self-care, and facilitate communication with healthcare providers.

A minimum data set improves the potential of data standardization and overcoming the problem of low-quality speech therapy data by providing coherent, complete, and uniform data elements. Therefore, this study was conducted to compare speech therapy minimum data set among different countries.

A systematic review was conducted without time limits in PubMed, Scopus, Web of Science, Embase, SID, Magiran, Elmnet databases, and in the Google search engine to retrieve articles, speech therapy forms, and speech therapy registry sites. Keywords related to speech therapy minimum data set including minimum data set, registry, and speech therapy, were used. First, studies were reviewed based on titles and abstracts. Then, the selected studies from the previous stage were examined independently by two researchers. A similar standard checklist was used to extract and compare the findings.

A total of 1710 related records were extracted for review, and finally, six main articles and 11 forms were included in this review. The six original articles included two related to speech therapy minimum data set in the United States, two related to Iran, and one related to Australia and Germany. A comparative review of the most important data elements obtained from the articles and input forms in this review, including identity and admission information, referral information, history, assessment of verbal skills, assessment of non-verbal skills, assessment of organs of production, assessment of cognitive skills, assessment of other aspects of speech, and linguistic and cultural considerations, were information elements related to diagnoses, recommendations, and treatment plans.

It could be concluded that an agreed classification system is needed to facilitate communication between speech therapists. This potentially enables further testing of diagnostic and therapeutic hypotheses with more coherent and simultaneous data collection. The challenge ahead is to create a comprehensive and universally agreed-upon classification system that meets the needs of professionals and researchers.

The minimum data set (MDS) is one of the important steps in the development of health care information systems. According to the Ministry of Health in Iran, a central and national registry along with Parkinson’s MDS (PMDS) has not yet existed. So, this research was conducted to establish a PMDS in Iran.

This study was a descriptive–comparative method, which was done in 2019–2021 in four phases: (1) determining data elements related to Parkinson’s disease in Iran and selected countries; (2) extracting and categorizing the data elements; (3) making a PMDS draft; (4) evaluating a draft by Delphi technique. The research population was the MDS in Australia, Canada, the United States of America, and Iran. After extracting the data elements of Parkinson’s disease from various resources, the primary draft PMDS was developed. Then, the research group divided it into two categories (administrative and clinical). After that, it was sent to 50 healthcare professionals for validation by the Delphi method.

Following the results of the two rounds of Delphi technique, Finally, PMDS was established including a total of 223 data elements in two categories: administrative and clinical with 72 and 151, respectively. Every category included 10 and 14 subcategories.

The first and the most important step for standardization of data collection nationally is creating MDS. Due to the necessity of the existence of PMDS, a complete list of PMDS was established for collecting data on Parkinson’s patients.

In recent decades, following the upward trend of aging, one out of three people in the world need rehabilitation services during the period of illness or injury. Consideringthe long-term complications and high costs of treatment, the need to follow up and review the evidence to find the best care programs and extensive planning in this field seems mandatory. Registry systems in this area can provide the necessary evidence for strategic decisions in this field. Therefore, the purpose of this comprehensive literature review is to examine the challenges and benefits of developing a rehabilitation registration system.

A systematic review, in studies published in English, without time limit and by searching for keywords in the keywords, title and abstract of reliable scientific databases Web of Science, Scopus, PubMed and Science Direct, as well as searching the title of studies in the database Cochrane data was accessed on March 31, 2021. Studies that were a possible answer to the researched question based on the title and content were examined.

One of the most important challenges investigated was the limitation of rehabilitation comprehensive registration systems. Other challenges include the lack of support for ensuring the quality of registration data, insufficient funds for investment, privacy and data security, the unclear purpose of registration system development, access to hardware infrastructure, lack of binding laws and regulations related to registration systems, lack of access to sufficient information. To implement information registration systems, continuous monitoring and holding training courses.

The most important challenge investigated was that currently the health care and rehabilitation registration systems around the world are focused on single diseases (single discipline rehabilitation), which does not meet the needs of patients due to the multifactorial nature of rehabilitation services and chronic diseases. Therefore, it seems that the connection between the data registration systems with the help of a comprehensive guideline or model or the creation of a national integrated central database in the form of integrationwith other health information systems and based on electronic health records will be very efficient.

Psychiatric emergencies are acute mental health, behavioral, and social disorders requiring immediate intervention. The primary role of psychiatric emergency services is to provide mental health services for eligible patients. This study aimed to design a Minimum Data Set (MDS) for emergency psychiatry. 

A comprehensive Grey Literature review was conducted in Iran, the United States, Australia, and England to identify sets of data elements for psychiatric emergencies in April 2019. Three psychiatric MSDs, two psychiatric emergency guidelines, and five psychiatric record forms were identified. Then, the identified data elements were extracted and categorized. An expert panel assessed the face validity. The content validity of a set of data elements and the clinical importance of data elements in emergency psychiatry were evaluated. Data elements that received a score of 4-5 from 79% of the specialists remained in the study. 

Out of a total of 93 identified data elements, 53 were considered essential data elements for MDS of emergency psychiatry. The data elements were categorized as follows: Socio-demographic data, psychiatric history, family psychiatric history, medical history, mental health/ psychiatric status, suicidal risk and harm risk for others, and diagnosis and treatment.

Given the importance of psychiatric disorders and the lack of a national system for gathering psychiatric information, performing the same study on psychiatric data elements is essential. The findings of this study can be applied to design psychiatric emergency forms and accurate and complete data gathering in psychiatric records.

Bipolar disorder (BD) is one of the most challenging psychiatric disorders in the management area that can lead to functional, occupational, and cognitive disorders. Without proper care, this complication can lead to profound psychological challenges and even death. The aim of this study is to design a minimum data set (MDS) for BD.

This descriptive cross‑sectional study was conducted in two steps. In the first step, a survey was conducted in PubMed, Web of Science, and SCOPUS databases to identify the demographic, managerial, and clinical data elements. Then, the required data elements were extracted from the studies by the data extraction form and used in a questionnaire. In the second step, to confirm the data element set, the designed questionnaire was distributed and collected among 20 psychiatrists and subspecialists during a two‑stage Delphi technique. Descriptive statistics (frequency and mean) were conducted to analyze the data.

Totally, 112 managerial and clinical data elements in 14 categories were extracted from the studies. Based on the experts’ opinion and their consensus, 88 necessary data elements were considered to bipolar MDS. “Medication nonadherence,” “history of suicide,” and “substance abuse and addiction” were the most important data elements.

In this study, an MDS was designed for BD. Providing this MDS, in addition to improving the clinical processes, it is possible to help electronic system designers and health data managers to know what information should be included in the health systems or any kind of self‑care or self‑management software to meet the information needs of these patients.

Fatty liver disease is rising as the most common liver disease in recent years. One of the new approaches to manage the disease is the use of intelligent systems. The recommender system is increasingly utilized in managing chronic conditions. This study was performed to identify the common data elements and features of a recommender system for people living with fatty liver. This study was a narrative review exploring the minimum data set for a recommender system in fatty liver disease. We aimed to review the current literature evidence to comprehend the specific requirements of the related knowledge. The search was carried out in November 2020 using PubMed, Scopus, Science Direct, and Web of Science databases. We searched the keywords including fatty liver, liver disease, nonalcoholic fatty liver disease, intelligent, smart system, recommender system, minimum data set, data element, and data requirements. A review of the articles showed that the most common data elements of the administrative category were sex/gender (n=22), age (n=22), and ethnic group/race (n=8). We also identified the clinical data elements and technical features of a recommender system for people living with fatty liver. Based on the findings of this study, “diabetes and glucose status” (n=18), “AST” (n=15), “BMI” (n=13), and “ALT” (n=13) were the most frequent data elements of clinical category. Furthermore, “predicting and identifying” (n=8) was the most common technical feature mentioned in the reviewed articles.‎ We determined the common elements and features of a recommender system in ‎three different categories: clinical data elements, demographic data elements, and technical ‎capabilities. Using these requirements, it is possible to structure data gathering, medication ‎adherence, and communication with healthcare providers in a standard manner. It is ‎suggested that appropriate policies and national grants be adopted to identify and prioritize a ‎minimum data set to support the healthcare services of people living with chronic conditions.

The prevalence of poisoning is on the rise in Iran. A poisoning registry is a key source of information about poisoning patterns used for decision-making and healthcare provision, and a minimum dataset (MDS) is a prerequisite for developing a registry.

This study aimed to design a MDS for a poisoning registry.

This applied study was conducted in 2021. A poisoning MDS was developed with a four-stage process: (1) conducting a systematic review of the Web of Science, Scopus, PubMed, and EMBASE, (2) examining poisoning-related websites and online forms, (3) classification of data elements in separate meetings with three toxicology specialists, and (4) validating data elements using the two-stage Delphi technique. A researcher-made checklist was employed for this purpose. The content validity of the checklist was examined based on the opinions of five health information management and medical informatics experts with respect to the topic of the study. Its test-retest reliability was also confirmed with the recruitment of 25 experts (r = 0.8).

Overall, 368 data elements were identified from the articles and forms, of which 358 were confirmed via the two-stage Delphi technique and classified into administrative (n = 88) and clinical data elements (n = 270).

The creation of a poisoning registry requires identifying the information needs of healthcare centers, and an integrated and comprehensive framework should be developed to meet these needs. To this end, a MDS contains the essential data elements that form a framework for integrated and standard data collection.

Electronic medical records play an important role in the management of patients. In order to develop cardiovascular electronic medical record systems, determining minimum data set is necessary. This study aimed to determine the essential data elements for electronic cardiovascular medical record systems.

Medical records of patients with cardiovascular diseases and also the literature were reviewed to develop a questionnaire regarding the data elements. 87 cardiovascular specialists and residents as well as 50 nurses working in cardiovascular departments of hospitals affiliated with Iran University of Medical Sciences participated in the study. The data elements with at least 75% of agreement were considered essential for electronic medical records. Data were analyzed using descriptive statistics in SPSS software.

The essential data elements were classified in 29 classes including admission, death, patients’ main complaints, clinical signs, observations, medications, cardiac surgery, risk factors, laboratory and pathology results, consultation, resuscitation, anesthetic, electrocardiography, blood transfusion or blood products, rehabilitation measures, angiography/venography, exercise testing, endoscopy/colonoscopy, medical imaging, echocardiography, nursing interventions, allergies and side effects, therapeutic implantations, cardiac examinations, physical examinations, angina, referrals, social backgrounds and history. Totally, out of 276 data elements, 245 elements were identified as the essential dataelements for electronic cardiovascular medical record systems.

In this study, essential data elements were defined for electronic cardiovascular medical records. Identifying cardiovascular minimum data set will be an effective step towards integrating and improving the management of these patients' information.

One way to reduce medication errors in the cardiovascular settings is to electronically prescribe medication through the computerized physician order entry system (CPOE). Improper design and non - compliance with users' needs are obstacles to implementing this system. Therefore, it is necessary to consider the standard mini mum data set (MDS) of this system in order to meet the basic needs of its users. The aim of this study was to introduce MDS in the cardiovascular CPOE drug system to standardize data items as well as to facilitate data sharing and integration with other sy stems.

This study was a survey study conducted in 1399 in Iran. The study population was all cardiologists in Iran. The data collection tool was a researcher - made questionnaire consisting of 33 questions. Data were analyzed in SPSS - 24 using descriptive statistics.

A total of 31 cardiologists participated in this study. The participants identified 19 of the 25 drug data items as essential for drug MDS. Five data items (Medication name, Medication dosage, Medication frequency, Medication start date and Patient medication history) were considered essential by more than 90% of the participants.

The results of this study identified drug MDS for the cardiovascular CPOE system. The results of this study can be a model for CPOE system designers to develop new systems or upgrade existing systems.