آزاده بشیری

Hemodialysis is one of the most common methods of treating patients with chronic kidney failure. People undergoing hemodialysis face various self-management challenges such as physical, emotional, and psychological problems. Mobile phone applications are useful tools for the self-management process of chronic patients. The purpose of this study was to identify and introduce the requirements needed in designing a mobile phone-based self-management application for hemodialysis patients.

This descriptive cross-sectional study was conducted in 2024. The data collection tool was a researcher-made electronic questionnaire that included information-educational needs and application capabilities. A needs assessment was conducted on 33 people (11 doctors and 22 patients) in Afzalipour Hospital in Kerman. Data analysis was done using SPSS version 27 and descriptive statistics.

A total of 89 information-educational needs and application capabilities were identified for hemodialysis patients. The data elements identified for application capabilities were divided into 10 groups: patient profile, clinical data, medication administration, nutrition and dietary management, psychological and psychiatric challenges management, sleep management, pain management, communication, and exercise. According to the views of doctors and patients, all information-educational needs (26 data elements) and application capabilities (63 data elements) except surname, national code, and contact number, with an average greater than and equal to 2.50 (50 percent) were considered essential for designing an application program.

The identified information-educational needs and the application capabilities in this study, can assist designers in creating efficient and user-friendly self-management applications for hemodialysis.

Computerized programs for brain empowerment with regular, intensive, and continuous cognitive exercises improve cognitive functions such as attention in attention deficit hyperactivity disorder. This review study aimed to identify effective computerized programs for improving attention in children and adolescents with attention deficit hyperactivity disorder (ADHD).

This descriptive narrative review was done in 2018 through library review and searching keywords including "attention deficit hyperactivity disorder", "computerized cognitive rehabilitation programs", and "play therapy" in databases such as PubMed, Scopus, and Google Scholar. The results of this review were investigated through the semi-structured interview and classified based on the attention areas of children and adolescents with ADHD.

Based on the review, Caption Log, Pay Attention, Cogmed Working Memory, Memory GYM, Attention GYM, Brainware Safari, 8 Sciences' ACTIVATET, Lumosity, My Happy Neuron, Smart Driver, and educational packages such as Maghzine were effective programs to improve different types of attention (focused, divided, intermittent, continuous, and selective) in the ADHD children aged four years old and older.

Considering the significant effects of computerized cognitive rehabilitation programs in empowering cognitive skills such as attention, their use as a complementary treatment in improving the quality of life of children and adolescents with ADHD is promising. However, it is suggested to evaluate such programs with larger samples, transfer their educational effects to daily life, and improve their quality by providing more components of such programs.

In advanced medicine, large amounts of data are produced. However, there is always a gap between their collection and their understanding and interpretation. Thus, the minimum data sets are prepared. Thalassemia major is a chronic genetic blood disorder and the most common genetic disorder in the world. So, the aim of this study was to determine the data set for personal health record of patients with major thalassemia.
This present applied research was done descriptively by Delphi method. To determine the dataset, the manual health records of thalassemia major patients were first evaluated based on the standard paper forms of the Ministry of Health, and the data required were collected according to the checklist. The questionnaire w first reviewed by a 6-expert team. Its content validity was determined by the team and its reliability by Cronbach's alpha as 96%. Then, a researcher-made questionnaire was prepared and surveyed among 113 experts on blood and oncology specialists around the country (Iran).
from the 126 information element data surveyed, 117 IEDs were identified as the main elements with the agreement of more than 75% in the range of high and very high, while nine elements with the agreement of less than 50% in the range of low and very low were excluded from the elements list of personal health records of thalassemia patients. The information element data with the agreement of 50 to 75 in the range of moderate to high was not found in the survey. Finally, the minimum data set of individual health records of patients with thalassemia major was provided in 9 groups of demographic information, health history information, assessment information, laboratory data, drug information, blood transfusion, physical examinations, immunization (vaccination) and dental care.
In this study, the data elements were defined for personal health record of thalassemia patients. These data elements are considered as an appropriate data set for inclusion in the manual systems and electronic medical records and based on the patient's needs can be changed to be used as a national document.

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. 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. 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. 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.

, Study Type: Research | Subject: hospital managment | Received: 2014/06/30 - Accepted: 2014/06/30 - Published: 2014/06/30 In order to better design an electronic health record system in the country, determining standardized data elements for creating an integrated information system is important. In this study, the minimum data set of radiology reporting system is determined. In this descriptive cross-sectional study, 13 radiologists, 3 anesthesiologists, 3 general practitioners and 3 insurance experts working in the Imaging Center of Imam Khomeini hospital in Tehran were chosen. The research tool was a questionnaire having 11 parts. Content validity and test-retest method were used to measure the validity and reliability of the questionnaire, respectively. Data analysis was performed using the SPSS software. The highest means reported were radiologist's written explanations and suggestions (9.6), image interpretation (9.5), the name of contrast material (9.4), the name of imaging procedure (9.3) type and date of previous measures (9.1), and the final diagnosis (9); and the lowest averages belonged to referring physician's address (4.8), relationship between patients and the primary individual insured (4.3), and religion (2.2). In an electronic health record system, due to the importance of radiology reports for the diagnosis and future management of a patient's clinical problems, it is necessary to pay attention to the minimum set of data related to these reports such as administrative, insurance, patient identity, and clinical data, and the results of radiological examinations for exchanging with electronic health record system.