Academic Impact Evaluation in National Health Research System: Toward Public Health Promotion

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Help Seeking Behaviors During COVID 19 Pandemic in Iran: A Qualitative Study

Background: With rapid outbreak of coronavirus disease 2019 (COVID-19), due to high transmission, long incubation, rapid spread and lack of definitive treatment of disease, extensive efforts were simultaneously made to identify the transmission chain and ways to control the disease.Aim: This study aimed to accurately identify help seeking behaviors during Covid-19 pandemic.Method: This qualitative study was performed based on explanatory model of Kleinman’s theory and through semi-structured interviews with 15 individuals who were confirmed as COVID-19 cases in Tehran. Interviews were conducted by telephone, digitally recorded and transcribed verbatim and analyzed via directional content analysis based on Graneheim and Lundman. Help seeking behaviors in different levels were extracted by purposive sampling approach.Results: Three main categories were extracted including popular, professional and folk sectors in help seeking behaviors. In popular sector, four levels were extracted consisting of individual, familial, social and community. In individual level, phone consultation and self-medication were two main subcategories. In familial level, conflict of expectation and the key role of wife in Covid-19 management were expressed. In social level, three subcategories included donors / charity, media and social media. Community level had one subcategory named ethical commitment. In professional sector, three subcategories were extracted including training, medical insurance and emergency services. In folk sector, the majority of participants believed that Covid-19 is God's punishment for people's sins.Implications for Practice: Exploring help-seeking behaviors at different levels can help the national health system to better control COVID-19 pandemic and provide preventive services

Local perceptions of mental health in Iran, Semnan Province

Introduction: Understanding local perceptions of mental health in different cultures and contexts is crucial for designing and implementing appropriate mental healthcare services. Methods: This qualitative study was conducted to investigate local perceptions of mental health in two highly populated provincial districts in Iran. Data were collected using the free list technique and interviews. A two-phase training workshop was held with the research team at a local health center, followed by a pilot study with the participation of six subjects. All the interviews were audio-recorded, transcribed, and then analyzed by the third and fourth authors in DEDOOSE. Results: A total of 30 individuals (20 in the free list and 10 as key informants in the interviews) took part in the study. Based on the study findings and the key informants' ideas, mental health problems were categorized into three categories of depression, anxiety, and obsessive�compulsive disorder (OCD). Conclusions: Mental health problems appear to be expressed in different ways and with different symptoms in different cultures, and there is a distinct need for examining mental disorders in each culture and nationality separately using culturally appropriate tools for disease screening. © 2020 The Authors. Brain and Behavior published by Wiley Periodicals LL

The evaluation of a virtual education system based on the DeLone and McLean model: A path analysis [version 2; referees: 3 approved]

Background: The Internet has dramatically influenced the introduction of virtual education. Virtual education is a term that involves online education and e-learning. This study was conducted to evaluate a virtual education system based on the DeLone and McLean model. Methods: This descriptive analytical study was conducted using the census method on all the students of the Nursing and Midwifery Department of Alborz University of Medical Sciences who had taken at least one online course in 2016-2017. Data were collected using a researcher-made questionnaire based on the DeLone and McLean model in six domains and then analyzed in SPSS-16 and LISREL-8.8 using the path analysis. Results: The goodness of fit indices (GFI) of the model represent the desirability and good fit of the model, and the rational nature of the adjusted relationships between the variables based on a conceptual model (GFI = 0.98; RMSEA = 0.014).The results showed that system quality has the greatest impact on the net benefits of the system through both direct and indirect paths (β=0.52), service quality through the indirect path (β=0.03) and user satisfaction through the direct path (β=0.73). Conclusions: According to the results, system quality has the greatest overall impact on the net benefits of the system, both directly and indirectly by affecting user satisfaction and the intention to use. System quality should therefore be further emphasized, to use these systems more efficiently

Establishing research impact assessment in Iran: The first report from a non-high-income country

Background This study presents the first report on research impact assessment (RIA) in non-high-income countries, undertaken as a pilot initiative in 2021. Within it, we aimed to explore the feasibility of employing the ‘payback’ model for evaluating the impact of health research and enhancing the accountability of universities. We focussed on three key impact domains: ‘production of decision support documents and knowledge-based products,’ ‘implementation of research results,’ and ‘health and economic impact.’ Methods We adopted a case study approach to assess the impact of 5334 health research projects conducted by researchers from 18 universities from 2018 to 2020. Researchers were required to submit evidence related to at least one of the specified impact domains; six scientific committees verified and scored claimed impacts at the national level. Results Only 25% of the assessed projects achieved impact in at least one domain, with the production of decision support documents and knowledge products being the most reported impact. Notably, economic impact was verified in only three projects, indicating room for improvement in this area. Technology research exhibited the highest acceptance rate of claimed impact, suggesting a positive correlation between technology-focused projects and impactful outcomes. Conclusions This study demonstrates the feasibility of employing a case study approach and the ‘payback’ model to evaluate the impact of health research, even within the constraints of a moderately equipped research infrastructure. These findings underscore the potential of integrating RIA into the governance of health research in Iran and other non-high-income countries, as well as the importance of using RIA to assess the accountability of health research systems, guide the allocation of research funding, and advocate for the advancement of health research. The study sets a precedent for future assessments in similar contexts and contributes to the ongoing global dialogue on the societal impact of health research

Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017

A double burden of malnutrition occurs when individuals, household members or communities experience both undernutrition and overweight. Here, we show geospatial estimates of overweight and wasting prevalence among children under 5 years of age in 105 low- and middle-income countries (LMICs) from 2000 to 2017 and aggregate these to policy-relevant administrative units. Wasting decreased overall across LMICs between 2000 and 2017, from 8.4% (62.3 (55.1–70.8) million) to 6.4% (58.3 (47.6–70.7) million), but is predicted to remain above the World Health Organization’s Global Nutrition Target of <5% in over half of LMICs by 2025. Prevalence of overweight increased from 5.2% (30 (22.8–38.5) million) in 2000 to 6.0% (55.5 (44.8–67.9) million) children aged under 5 years in 2017. Areas most affected by double burden of malnutrition were located in Indonesia, Thailand, southeastern China, Botswana, Cameroon and central Nigeria. Our estimates provide a new perspective to researchers, policy makers and public health agencies in their efforts to address this global childhood syndemic

Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017

A double burden of malnutrition occurs when individuals, household members or communities experience both undernutrition and overweight. Here, we show geospatial estimates of overweight and wasting prevalence among children under 5 years of age in 105 low- and middle-income countries (LMICs) from 2000 to 2017 and aggregate these to policy-relevant administrative units. Wasting decreased overall across LMICs between 2000 and 2017, from 8.4 (62.3 (55.1�70.8) million) to 6.4 (58.3 (47.6�70.7) million), but is predicted to remain above the World Health Organization�s Global Nutrition Target of <5 in over half of LMICs by 2025. Prevalence of overweight increased from 5.2 (30 (22.8�38.5) million) in 2000 to 6.0 (55.5 (44.8�67.9) million) children aged under 5 years in 2017. Areas most affected by double burden of malnutrition were located in Indonesia, Thailand, southeastern China, Botswana, Cameroon and central Nigeria. Our estimates provide a new perspective to researchers, policy makers and public health agencies in their efforts to address this global childhood syndemic. © 2020, The Author(s)

Author Correction: Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017 (Nature Medicine, (2020), 26, 5, (750-759), 10.1038/s41591-020-0807-6)

An amendment to this paper has been published and can be accessed via a link at the top of the paper. © 2020, The Author(s)