Cerebral palsy (CP) is the most common chronic motor disability and neurological complication in children and occurs due to a nonprogressive lesion in the developing brain. Physically handicapped are one of the less frequent but the most different groups among exceptional children. CP is the most common motor disability in children after mental injuries, and the incidence of CP is about 2/1000 live births in Europe.

Introduction: Standard Data processing plays an important role in patient care. Nursing Data forms the first level of nursing informatics. These are essential tools for documentation of nursing process by methodology of assessment, diagnosis, interventions, outcomes, evaluation and documentation of patient care. Nursing Minimum Data Set (NMDS) is the first action for standardization of gathering unified and essential nursing Data for using in multiple Sets and patient groups. The objective of this research was comparison of Data elements of nursing Minimum Data Set in selected countries and recommendation for Iran.Methods: This was a descriptive-comparative study and was done at 2009. Nursing Minimum Data Set in the US, Thailand, Belgium, Finland, Canada, Netherlands, Swiss surveyed. Data collection was performed through internet search, books and journals and was collected in the form of a checklist. Results presented in statistical tables.Results: Findings showed that all countries had a national NMDS. In all NMDSs, Nursing Data elements divided to three groups: Nursing care, patient and service elements. There is a nursing Minimum Data Set for nursing management in US. There is no NMDS in Iran.Conclusion: Since every countries of this study have a domestic NMDS and also there is no standard in Iran for which Data elements must include in Electronic Health Records, then creating an Iranian Nursing Minimum Data Set (IrNMDS) is essential. For identifying Iranian NMDS, we recommend that a professional and legal organization administer to creating of a NMDS.

Background: Orthopedic injuries are the most common types of injuries. To identify the main causes of injuries, collecting Data in the standard manner at the national level are needed, which justifies necessity of making a Minimum Data Set. The aim of this study was designing a Minimum Data Set for orthopedic injuries.Methods: This research was applied and performed in a descriptive and cross-sectional manner in 2013. Data collected from hospitals affiliated to Tehran University of Medical Sciences that had orthopedic department, insurance, medico-legal and emergency centers, and so internet and library. Research documents were orthopedic injury records in 2012 and documents that retrieved from the internet. Records with Random sampling by S22-S99 categories from ICD_10 were selected, and the related Internet sourced Data was evaluated entirely. Data collected using a checklist. In order to make a consensus about the Data elements the Delphi technique was applied, using a questionnaire. The content validity of questionnaire was assessed using expert’s opinions and reliability by test-retest method.Results: A Minimum Data Set of orthopedic injuries divided into two categories: administrative with six classes including 142 Data elements, and clinical with 17 classes including 250 Data elements.Conclusions: This study showed that some of the essential Data elements that were in other country’s MDS or required for organizations and health care providers was not included. So a complete list of a Minimum Set of Data elements was created. Existence of comprehensive Data about the causes and mechanisms of injuries enables public health policy-makers to be informed about injuries occurrence, and taking rationale measures to deal with these problems.

Introduction: Prenatal care documentation is crucial for maintaining a safe pregnancy and desired outcomes for the mother, baby, and family. This study was conducted to determine the national Minimum Data Set of pregnancy status to plan for preventing maternal mortality and reducing of delivery complications outstanding lack of information about pregnancy conditions during childbirth. Methods: This descriptive-comparative study was conducted through qualitative approach in the academic year 2021 in four steps as follows: exploring Minimum Data Set in selected countries, determining information needs of experts, compiling initial Minimum Data Sets, and confirming their validity through Delphi technique. Results: Investigating in IFRC, WHO, EBCOG, and South Africa, Tanzania, Newziland, Australia, England, India and Iran as well as interviewing midwives, 177 Data components were identified and validated. Finally, 86 Data components were agreed upon in seven areas: referral information, maternal information, medical history, previous pregnancy, and delivery history, current pregnancy description, ultrasound results, and test results using the Delphi technique Conclusion: Determining the Minimum pregnancy status Data Set provides a structured framework for collecting and reporting important maternal status Data. Health Information system (HIS) in caregiving will be fed by important maternal status Data, awareness of vital situations during delivery which in turn leads to timely action, and directly prevents many deaths.

Introduction: 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. Materials and Methods: 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. Results: 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. Conclusion: 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.

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.

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.

Background: Thyroid cancer is one of the most common malignancies related to an endocrine disorder. Due to the widespread increase in thyroid cancer disease all over the world, cancer registries play an important task for improving survival, prevention, and control of cancer plans in developing countries. Objectives: This study aimed at developing a Minimum Data Set (MDS) for thyroid cancer registry to improve care and treatment core indicators and to revise related guidelines for thyroid cancer in Iran. Methods: This research was a descriptive and cross sectional study carried out in 2015. Most of the Data were collected from the patient’ s medical records in public hospitals of Ahvaz province, healthcare medicine centers in Ahvaz, in addition to online Databases. The Data were collected, using a checklist. The decision-making classic Delphi method was used to make a consensus about the Data elements. The construct validity and reliability of the questionnaire were approved by the expert’ s opinions in the field of endocrinology. Results: Out of 251 elements of thyroid cancer discussed, 142 and 8 agreed by more than %75 and by 50% to 75% of the experts, respectively. The MDS was divided into 2 categories of identify and clinical Data with 1 and 11 sections, respectively. Conclusions: Comprehensive and uniform Data elements about thyroid cancer was not available in Iran. This Data Set in the field of collecting thyroid cancer information can be useful through facilitating the exchange of health information. The determination of MDS for thyroid cancer will be an effective step to integrate and improve the management of patients’ records.