Conectar
To develop a context-specific health technology assessment (HTA) framework tailored to the healthcare needs and system of Iran, to improve evidence-based decision-making, optimise resource allocation and support progress towards universal health coverage.
A mixed-methods Delphi consensus study conducted using a three-phase, sequential approach: document review, qualitative focus group discussions and Delphi consensus rounds. The study reporting follows the Accurate Consensus Reporting Document guideline to ensure transparent reporting of consensus methods.
A national-level study conducted in Iran’s healthcare system between January 2023 and March 2024, including perspectives from public and academic institutions, policy bodies and patient organisations.
The study involved 18 purposively selected stakeholders in three focus group discussions, including policymakers, healthcare professionals, researchers and patient representatives. Subsequently, 20 HTA experts participated in three iterative Delphi rounds to refine and reach consensus on the framework components.
Identification of core components and operational steps required to develop and implement a comprehensive HTA framework in Iran.
The final HTA framework includes nine core components: (1) establishing a national HTA body; (2) engaging stakeholders; (3) building capacity through training and research; (4) developing standard HTA methodologies; (5) implementing prioritisation and evaluation processes; (6) ensuring sustainable funding; (7) enhancing transparency and accountability; (8) promoting continuous improvement and (9) fostering innovation. Detailed operational steps and micro-activities were developed for each component. The framework achieved an 84% consensus among Delphi panellists, indicating strong agreement on its content and applicability.
This tailored HTA framework provides a structured roadmap to institutionalise evidence-based decision-making in Iran’s healthcare system. Its implementation can strengthen the efficiency, equity and sustainability of healthcare planning and policy. Pilot testing is recommended to assess feasibility and scalability, with potential to serve as a model for other low-income and middle-income countries.
by Patrick Kaggwa, Juliet Nabbuye Sekandi, Mcdonald Kerone Adenike, Peter Nabende, Sarah Nabukeera, Kenneth Kidonge Katende, Esther Buregyeya, Nazarius Mbona Tumwesigye
BackgroundUnique patient identification is often challenging in healthcare systems, especially in low- and middle-income countries. Digital facial recognition is a promising alternative to traditional identification methods. This pilot study explores the perceptions and attitudes of healthcare workers towards using facial recognition technology in a healthcare setting in Uganda.
MethodsWe conducted an explorative qualitative study using key informant interviews with healthcare workers in Kampala, Uganda, to assess perceptions and attitudes towards digital facial recognition. We interviewed a total of 10 healthcare workers, including five doctors and five nurses, aged 20–39 years, with at least one year of professional experience. A trained interviewer provided a brief overview and demonstration of the facial recognition application and then used an open-ended interview guide to elicit responses about perceptions and attitudes. The interviews were audio recorded and transcribed verbatim. Data obtained from Key Informant Interviews were manually analyzed using thematic content analysis.
ResultsOverall, the healthcare workers perceived digital facial recognition as a more effective and acceptable way to identify patients who receive service at outpatient clinics. Four themes emerged, including: i) Challenges affecting current patient identification standards, ii) Healthcare workers’ views on facial recognition, iii) Perceived digital facial recognition implementation challenges, and iv) Solutions to challenges of digital facial recognition. The healthcare workers recommended ensuring the protection patients’ images privacy, providing adequate technological infrastructure in clinics, and securing stable internet access for the successful implementation of digital facial recognition.
ConclusionOur exploratory study indicates that overall, healthcare workers have a positive perception of the digital facial recognition application. However, it is crucial to acknowledge and address concerns regarding confidentiality and privacy to pave the way for the future implementation of the system.
by Ariene Silva do Carmo, Paulo César Pereira de Castro Júnior, Thais Cristina Marquezine Caldeira, Daniela Silva Canella, Rafael Moreira Claro, Luiza Delazari Borges, Larissa Loures Mendes
The present study analyzed the prices of food sold in canteens of Brazilian private schools and described price-based marketing strategies, according to the NOVA food classification system. This is a mixed methods study combining a cross-sectional component and time series analysis, with data from 2,241 canteens in private elementary and secondary schools in the 26 capitals of Brazil and the Federal District, collected between June 2022 and June 2024. Price data collected for unprocessed, minimally processed, or processed foods and culinary preparations based on these foods (UMPCP), and ultra-processed foods and culinary preparations based on these foods (UpCP) sold in school canteens and from the National System of Consumer Price Indices (SNIPC), were used to create a data set containing deflated monthly prices for food and beverages sold between August 2022 and July 2024. Calculations were made for adjusted prices (R$/100 g or ml) and absolute prices (R$ per portion), and frequency of use of strategies such as combos and promotions. UMPCP showed lower adjusted price, but higher absolute price than UpCP, especially for solid foods. About 27% of the study canteens implemented pricing strategies for both food groups. Most of these strategies did not exclusively favor healthy foods, indicating that promotions and combos were used without distinction. The affordability of healthy foods is disadvantaged in school canteens when considering the price per portion, which may negatively influence students’ food choices. The findings show that current prices for food sold in most canteens discourage the purchase of healthy items, but favor the purchase of unhealthy ones. These results reinforce the importance of interventions for promoting healthy foods and making them more affordable.by Dwi Sisca Kumala Putri, Kencana Sari, Nur Handayani Utami, Nazarina Nazarina, Tiara Amelia, Nadira Yuthie Salwa, Ning Sulistiyowati, Adindra Vickar Ega, Muhammad Azzumar, Rika Rachmawati, Salimar, Mieska Despitasari, Donny Kristanto Mulyantoro
BackgroundMobile Health (mHealth) Applications offer a promising approach to promote the adoption of healthy nutrition and behavior among adolescent girls. A tailored mobile app, Teen ‘n Fit, was developed to support adolescent girls in Indonesia to assess their nutritional status, physical activity, and eating behavior; as a nutrition education media; and as a reminder of iron folic acid consumption. However, it is essential to measure the app’s usability prior to the release.
ObjectiveThis study aimed to measure the usability of a mobile application designed to promote nutrition and healthy behavior of adolescent girls by modifying the mHealth App Usability Questionnaire (MAUQ).
MethodsA cross-sectional usability study was conducted on 64 adolescent girls aged 15–18 from a public high school in Depok, Indonesia. Participants completed app-based tasks and filled out a post-task usability questionnaire. The usability questionnaire was adapted from a validated MAUQ for a standalone mHealth app. The exploratory factor analysis was conducted to determine the items constituting each component in the modified MAUQ. Mann-Whitney analysis was employed to analyze the difference in usability score means based on participants’ characteristics.
ResultsThe modified MAUQ demonstrated strong reliability (Cronbach’s alpha = 0.945). The app achieves a strong usability score, 6.0 ± 0.8 out of 7, with 79.7 percent of participants reporting no prior mHealth experience. The score among participants who occasionally used mHealth applications was higher (p = 0.046) than those who had never made prior use.
ConclusionThe findings indicate strong usability potential of Teen ‘n Fit as a digital health promotion tool for adolescent girls; however, future efforts in conducting effectiveness tests and maintaining user engagement are needed.
by Ramtin Naderian, Sajjad Ahmad, Mojgan Rahmanian, Shahrzad Aghaamoo, Aryan Rahbar, Omid Pajand, Akram Alizadeh, Shahin Nazarian, Samira Sanami, Majid Eslami
Chandipura virus (CHPV) is endemic in India, with frequent outbreaks reported. No approved medicines or vaccines exist for CHPV. We aimed to develop a multi-epitope vaccine for CHPV using immunoinformatics approaches. In this study, a multi-epitope vaccine construct was developed by combining 11 CTL epitopes, 2 HTL epitopes, and 1 linear B-cell epitope from glycoprotein (G) with 1 EAAAK linker, 10 AAY linkers, 2 GPGPG linkers, 1 KK linker, and adjuvant (RS-09 peptide). We predicted and optimized the vaccine’s protein structure. Furthermore, the vaccine 3D structure was docked with Toll-like receptor 4 (TLR4) using the Cluspro 2.0 server, and the docked complex was analyzed using molecular dynamics (MD) simulation by the assisted model building with energy refinement (AMBER) v.20 package. The vaccine’s immune simulation profile was determined, and the vaccine sequence was reverse translated and in silico cloned into the pET28a (+). The vaccine’s population coverage was 99.79% across the worldwide. The vaccine was soluble, non-allergenic and non-toxic, with high levels of antigenicity. The quality of the vaccine’s 3D structure improved following refining, and the number of residues in the most favoured regions of the Ramachandran plot increased by 94.2%. The molecular docking, with a docking score of −1157 kcal/mol, and MD simulation results revealed a robust interaction and remarkable stability between the vaccine and TLR4. The immune response simulation indicated a decrease in antigen levels and an increase in interferon‐gamma (IFN‐γ) and interleukin-2 (IL-2) concentrations after each injection. In silico results indicate that this vaccine possesses significant promise against CHPV; however, laboratory and animal studies are necessary to validate our findings.Coronary artery bypass grafting (CABG) remains one of the most commonly performed cardiac surgeries worldwide. Despite surgical advancements, a significant proportion of patients experience psychological distress following surgery, with depression being particularly common. Current evidence regarding the effectiveness of preoperative psychological interventions in improving postoperative mental health outcomes remains inconclusive. There is a critical need for predictive models that can identify patients at risk of developing clinically significant depressive symptoms (CSDSs) and related psychological conditions after CABG. This multicentre observational study aims to develop and validate prognostic models for predicting CSDSs and other psychological outcomes, including anxiety, post-traumatic stress symptoms and quality of life, 6 weeks after elective CABG surgery.
The study will recruit 300 adult patients undergoing elective CABG (with or without valve intervention) across two Swiss hospitals. Data collected will include demographic, clinical, psychometric, inflammation-related and interoceptive variables. A training set (n=200) will be used to develop predictive models using machine learning, while a held-out test set (n=100) will be used for model validation. The primary outcome prediction will focus on CSDSs, assessed using the Patient Health Questionnaire-9 (PHQ-9), with analyses conducted both categorically (PHQ-9 total score ≥10) and continuously as complementary approaches. Secondary models will address anxiety, using the General Anxiety Disorder Scale-7, post-traumatic stress, using the post-traumatic stress disorder checklist for Diagnostic and Statistical Manual of Mental Disorders-5 and health-related quality of life, using the 12-item Short Form Survey. A simplified ‘light solution’ model with fewer predictors will also be developed for broader applicability. This study will address an important gap in perioperative mental healthcare by identifying key predictors of psychological morbidity following CABG, particularly CSDSs. The resulting models may inform future screening and preventive strategies and improve postsurgical outcomes through early identification and intervention in high-risk individuals.
The responsible ethics committee has reviewed and approved this project (Kantonale Ethikkommission Zürich, BASEC number: 2023-02040). The study minimises participant burden by integrating brief validated instruments and limiting psychiatric interviews to relevant outcomes, while ensuring ethical safeguards and respect for participant rights (including written consent). Results will be shared through peer-reviewed publications, conference presentations and stakeholder meetings involving clinicians and mental health professionals. Findings will also be communicated to participating centres and patient communities in accessible formats.
FreshRSS 