Mapping and analyzing the application of digital health for stroke rehabilitation: scientometric analysis.

Introduction: A modern and accessible healthcare system requires digital innovation and connectivity. The term "Digital health" covers vide range technologies, such as mobile health and applications, electronic records, telehealth and telemedicine, wearable devices, robotics, virtual reality and artificial intelligence.

Methods: Scientometrics is the method that we have done in this study by Cite Space and VOSviewer software, and the result of searching the Web of Science database in plain text format to perform analysis and scientometrics and create outputs in the form of graphs and tables in the field of digital health has been used in stroke rehabilitation.

The association between physical activity and risk of gastric cancer; an umbrella review.

Introduction: Gastric cancer (GC), as a highly lethal malignancy, is the fourth most common malignancy and the second leading cause of cancer-related death worldwide. This study is an umbrella review of systematic reviews and meta-analyses to present an overview of the extent and reliability of the claimed association between physical activity and the likelihood of developing or dying from GC.

Method: This study was conducted following the Joanna Brigs Institute (JBI)'s methods for conducting umbrella reviews.

Cost and efficiency analysis in Iranian primary health centers: a micro costing and data envelopment analysis.

Background: Health Complex Model was implemented to provide primary health care services in urban, especially in slum areas. As a pilot at a provincial level, Chamran Health Complex offers healthcare for more than 57,000 residents of Tabriz. Despite the necessity of cost information in healthcare decision-making, there was limited knowledge about the unit cost of services.

Analysis of Iranian health workforce emigration based on a system dynamics approach: a study protocol.

Background: Emigration of health workers has emerged as a significant obstacle in Iran, compelling policymakers to implement a diverse range of interventions and reforms to enhance healthcare services. It is imperative to comprehend the efficacy of emigration control interventions. To explore the intricate dynamics of elite emigration, this study employs a system dynamics modeling approach.

The Factor Structure and Generalizability of the Iranian Socioeconomic Status (SES) Questionnaire Administered in a Nationally Divergent Population.

Background: Measuring socioeconomic status (SES) as an independent variable is challenging, especially in epidemiological and social studies. This issue is more critical in large-scale studies on the national level. The present study aimed to extensively evaluate the validity and reliability of the Iranian SES questionnaire.

Strict association between development of psychological conditions and hypertension incidence: A cross-sectional study.

Background/aims: Previous studies indicated a significant association between mental disorders and cardiovascular diseases, including heart failure (HF) and coronary artery disease (CAD) with comorbidity hypertension (HTN), and vice versa, leading to a challenge in the final decision. To resolve this issue, we aimed to exclude comorbidities and further assessed to better find any association between mental disorders and cardiovascular diseases (CVD).

Methods: The cross-sectional study involved 300 participants: 100 with HTN (without HF or CAD), 100 with HF (without HTN or CAD), 100 with CAD (without HTN or HF), and 100 healthy individuals as a control group.

Designing a core data set for benign hysterectomy registration system and its implementation in a referral teaching hospital in Northwest Iran.

Background And Aims: Although minimally invasive hysterectomy offers advantages, abdominal hysterectomy remains the predominant surgical method. Creating a standardized dataset and establishing a hysterectomy registry system present opportunities for early interventions in reducing volume and selecting benign hysterectomy methods. This research aims to develop a dataset for designing benign hysterectomy registration system.

Predicting dyslipidemia incidence: unleashing machine learning algorithms on Lifestyle Promotion Project data.

Background: Dyslipidemia, characterized by variations in plasma lipid profiles, poses a global health threat linked to millions of deaths annually.

Objectives: This study focuses on predicting dyslipidemia incidence using machine learning methods, addressing the crucial need for early identification and intervention.

Methods: The dataset, derived from the Lifestyle Promotion Project (LPP) in East Azerbaijan Province, Iran, undergoes a comprehensive preprocessing, merging, and null handling process.

Health consequences of the Urmia Lake crisis: the baseline study protocol.

Introduction: Climate change may affect human health due to various mechanisms including overexposure to environmental pollution or dispersed particles. Lake Urmia (LU) drying in recent years has turned into a crisis with particle distribution as its main manifest. It is told that this crisis may affect the health of neighbouring residents.

Exploration of the Challenges of COVID-19 from the Perspective of Emergency Medicine Specialists.

Background: Emergency physicians are at the forefront of the medical system in the face of the COVID-19 crisis. Identifying the challenges, along with the strategies and effective measures implemented by them in the face of the COVID-19 crisis, can be a roadmap for future crisis management planning. This study aims to explain the challenges faced by emergency physicians regarding COVID-19.

Qualitative Analysis of Newborn Hearing Screening Program in Iran.

Background: Early diagnosis of hearing loss and timely interventions are important to minimize the consequences of this condition, especially for children. This research was conducted to analyze the newborn hearing loss screening program in Iran.

Methods: This qualitative study was conducted using the content analysis method and based on the CIPP model in 2023.

Development, Validation, and Cross Cultural Adoption of Persian Version of Behavioral Risk Factor Tool.

Background: One of the most crucial objectives of policymakers is to enhance the population's overall health. Establishing a surveillance system is a way to achieve this goal. The Behavioral Risk Factor Surveillance System (BRFSS) is a national system that collects data on the health-related behaviors of the United States residents using the Behavioral Risk Factor Questionnaire (BRFSSQ).

Iron deficiency anemia status in Iranian pregnant women and children: an umbrella systematic review and meta-analysis.

Background: Iron deficiency anemia (IDA) is a global health challenge, especially affecting females and children. We aimed to conduct an umbrella systematic review of available evidence on IDA's prevalence in Iranian pregnant women and children.

Methods: We searched the Web of Science, Science Direct, PubMed, Scopus, and Google Scholar databases for articles published by April 2023.

Familial aggregation of traffic risky behaviours among pedestrians: a cross-sectional study in northwestern Iran.

Objective: This study aims to assess the familial aggregation of traffic risky behaviours among pedestrians and describe the sociodemographic profile of pedestrians in northwestern Iran.

Methods: A cross-sectional study was conducted among 933 pedestrians in 2023. Participants were selected using stratified random sampling.

Economic evaluation of stereotactic radiotherapy and stereotactic radiosurgery technologies in the treatment of cancers: a systematic review.

Introduction: This systematic review study investigated the cost-effectiveness of stereotactic radiotherapy (SRT) and stereotactic radiosurgery (SRS) for treatment of various types of cancers.

Methods: PubMed, Scopus, and Web of Science were searched from 30 December 1990 to 1 January 2023. The entered studies were screened in accordance with the inclusion criteria.

Financial protection and equity in the healthcare financing system in Iran: a cross-sectional study among slum dwellers with type 2 diabetes.

Objectives: This study was conducted to assess financial protection and equity in the healthcare financing system among slum dwellers with type 2 diabetes (T2D) in Iran in 2022.

Design: Cross-sectional study.

Setting: Primary care centres in Iran were selected from slums.

Terrorist attacks in Iran: A counter-terrorism medicine analysis.

Introduction: Terrorism is a combined phenomenon, the concept of which is strongly affected by the spatial and temporal situation. Terrorist attacks can affect the demand for and delivery of healthcare services and often put a unique burden on the first responders, hospitals, and health systems. This study provides an epidemiological description of all -terrorist-related attacks in Iran from 1979 to 2020.

A systematic review of reviews on the advantages of mHealth utilization in mental health services: A viable option for large populations in low-resource settings.

Global mental health services face challenges such as stigma and a shortage of trained professionals, particularly in low- and middle-income countries, which hinder access to high-quality care. Mobile health interventions, commonly referred to as mHealth, have shown to have the capacity to confront and solve most of the challenges within mental health services. This paper conducted a comprehensive investigation in 2024 to identify all review studies published between 2000 and 2024 that investigate the advantages of mHealth in mental health services.

The Effect of the COVID-19 Pandemic on the Factors Influencing Iranian Medical Residents' Specialty Selection: A Qualitative Study.

Background: Medical students' specialty selection influences the composition of the physician workforce and the effectiveness of health systems. Therefore, the identification of factors that influence the choice of specialty is critical for an evidence-based health policy. This study aimed to investigate the effect of the Coronavirus Disease 2019 (COVID-19) pandemic on the determinants of specialty choice among Iranian medical residents.

Service quality: perspective of people with type 2 diabetes mellitus and hypertension in rural and urban public primary healthcare centers in Iran.

Objective: This study aimed to assess the service quality (SQ) for Type 2 diabetes mellitus (T2DM) and hypertension in primary healthcare settings from the perspective of service users in Iran.

Methods: The Cross-sectional study was conducted from January to March 2020 in urban and rural public health centers in the East Azerbaijan province of Iran. A total of 561 individuals aged 18 or above with either or both conditions of T2DM and hypertension were eligible to participate in the study.

Factors influencing patient engagement in mental health chatbots: A thematic analysis of findings from a systematic review of reviews.

Introduction: Mental health disorders affect millions of people worldwide. Chatbots are a new technology that can help users with mental health issues by providing innovative features. This article aimed to conduct a systematic review of reviews on chatbots in mental health services and synthesized the evidence on the factors influencing patient engagement with chatbots.