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The effectiveness of non-governmental organization (NGO) participation in the healthcare sector has been demonstrated globally. The purpose of this paper is to investigate the status of Iranian NGOs’ contribution to health policy-making, the barriers to and strategies for developing their contribution.

In this qualitative study, 25 participants were recruited from health-related NGOs in Tabriz, Iran. Semi-structured, in-depth qualitative interviews were conducted. Furthermore, a set of relevant documents were collected and their contents evaluated. The text of documents and interviews were analyzed using a thematic (deductive–inductive) approach using NVivo software.

Most NGO activity has been in the area of providing services, whereas the least amount of activity has been in the domain of policy-making. Factors that were influential for NGO participation in policy-making were divided into three categories: those related to government, to civil society and within NGOs themselves. The primary barriers to participation in policy-making were related to government and the way that NGOs operated. Recommendations include the production of supportive law, financial aid to NGO and infrastructure that facilitates NGO participation.

Financial support from the government and legislation of supportive laws could help to realize the potential of NGOs.

No such research has been undertaken before to evaluate what activities health-related NGOs undertake, their contribution in health policy-making and obstacles and facilitators of this contribution. NGOs can play a key role in ensuring accountability, transparency and empower citizens to demand basic health services from government.

Visit time is a crucial aspect of patient–physician interaction; its inadequacy can negatively impact the efficiency of treatment and diagnosis. In addition, visit time is a fundamental demand of patients, and it is one of the rights of every patient. The purpose of this paper is to determine factors influencing the consultation length of physicians and to compare consultation length in different countries.

MEDLINE (PubMed), Web of Science, Cochrane, ProQuest, Scopus, and Google Scholar were searched. In addition, references of references were checked, and publication lists of individual scholars in the field were examined. We used data sources up to June 2018, without language restriction. We used a random-effects model for the meta-analyses. Meta-analyses were conducted using Comprehensive Meta-Analysis Version (CMA) 3.0.

Of 16,911 identified studies, 189 studies were assessed of which 125 cases (67 percent) have been conducted in the USA. A total of 189 studies, 164 (86.77 percent) involved face-to face-consultations. The effects of three variables, physician gender, patient gender, and type of consultation were analyzed. According to moderate and strong evidence studies, no significant difference was found in the consultation lengths of female and male doctors (Q=42.72, df=8, I²=81.27, p=0.891) and patients’ gender (Q=55.98, df=11, I²=80.35, p=0.314). In addition, no significant difference was found in the telemedicine or face-to-face visits (Q=41.25, df=5, I²=87.88, p=0.170).

In this systematic review and meta-analysis, all of physicians’ visits in 34 countries were surveyed. The evidence suggests that specified variables do not influence the length of consultations. Good relationship is essential to a safe and high-quality consultation and referral process. A high-quality consultation can improve decisions and quality of visits, treatment effectiveness, efficiency of service, quality of care, patient safety and physician and patient satisfaction.

This study aims to identify the effect of strawberry supplementation on some metabolic, inflammatory and oxidative parameters in adults with cardiovascular (CV) risk factors.

A systematic literature search was performed up to November 2020 using PubMed, Embase, Cochrane, Web of Sciences and Scopus databases. The pooled mean difference (MD) with 95% confidence interval (CI) was used to analyze the data by random-effects model. I² statistics and Cochrane risk of bias tool were used for investigating heterogeneity and quality of included studies, respectively.

In total, 13 randomized controlled trials with 488 participants were included. Strawberry supplementation significantly reduced diastolic blood pressure (MD = −2.1, 95% CI [−3.7, −0.42], P = 0.01), low-density lipoprotein cholesterol (−0.16, −0.30, −0.02, P = 0.03), high-sensitivity C-reactive protein (CRP) (−0.76, −1.4, −0.05, P < 0.001) and CRP (−0.31, −0.43, −0.18, P = 0.04). Leptin levels were raised in control group compared with participants who had received strawberry (0.65, 0.09 and 1.2, P = 0.02). The results of subgroup analysis based on the follow-up duration and supplementation dose showed that consumption of strawberry for more than eight weeks and 50 g day⁻¹ can significantly decrease some other CV risk factors compared to control group. Further, both higher follow-up duration and supplementation dose were more effective in increasing leptin levels of control group compared to intervention group.

The use of some useful plant foods such as strawberries by the pharmaceutical industry and the community health sector can greatly help improve people’s CV and metabolic health.

According to the great importance of community health as well as the ever-increasing development of health technologies, the importance of designing an interactive model of factors affecting health technology assessment (HTA) can be highlighted. The purpose of designing and implementing the framework of health information system assessment is to ensure that the required accurate data which are necessary to measure the main health indicators are available. The purpose of this paper is to design an interactive model of factors affecting HTA.

This is a cross-sectional, descriptive-analytic study conducted in the Iran Ministry of Health and Medical Education in the second half of 2017. A sample of 60 experts and professionals working in the field of health technologies are selected using purposive and snowball sampling methods. Two researcher-made questionnaires are used to collect the required data. The collected data are analyzed using decision-making trial and evaluation laboratory (DEMATEL) and MATLAB R2013a.

The results showed that “Legal dimension,” “safety,” “Effectiveness” and “Social dimension” were the affecting factors and net causes, and “Current application,” “Knowledge of technology,” “Ethical dimension,” “Costs” and “Organizational dimension” were the affected factors and net effects in the interactive model. Furthermore, “Legal dimension” with the coordinates C: [1.88, 1.27] and “Ethical dimension” with the coordinates C: [1.75, −75] were known as the most affecting and most affected factors in the interactive model, respectively.

The DEMATEL model is an appropriate tool for managers and policy makers to structure and prioritize factors influencing the HTA. Policy makers and decision makers can use this model for identifying relationships among factors and prioritize them. Because health policy makers and managers have a major role in formulating the regulations and guidelines related to the HTA, they should pay more attention to the legal considerations in their decisions and use the management tools to move the available resources toward implementing and enforcing rules and guidelines related to the HTA.