Delivering interventions is the main task of health systems whose accurate measurement is an essential input into tracking performance. Recently, the concept of effective coverage was introduced by World Health Organization to incorporate into health system performance assessment. The aim of present scoping review was mapping the key elements and steps of effective coverage assessment in practical efforts including kinds of interventions, criteria for selecting them and the need, use and quality estimation approaches and strategies of each intervention. We conducted a scoping review of health system/program assessments which assessed effective coverage till May 2017. Seven databases were systematically searched with no time and language restriction through applying combined keyword of “effective coverage”. Eighteen studies contributed findings on monitoring effective coverage of health interventions and they all were included in the review. Only 4 contributed findings on health system and the others were related to specific intervention(s) assessment. The interventions monitored by effective coverage were mainly in child health, prenatal and antenatal care and delivery, and chronic conditions areas. Potential impact on the burden of disease, leading causes of mortality and morbidity, and high occurrence and prevalence rate were among the main intervention selection criteria. Availability of data was the critical prerequisite, especially, in all of the studies applied ex post approach in estimating effective coverage. Estimation based on a norm, self- reporting from surveys and biomarkers were the main strategies and methods of need, utilization and quality measurement, respectively. More studies are needed to contribute to the ongoing improvement in the development of effective coverage concept and increasing practical efforts, especially through defining prospective approaches and strategies into estimation of composite measures based on the effective coverage framework. Also, further attention needs to be paid to quality measures of effective coverage in a manner that better conceptualizes and measures the connection between coverage rates and interventions’ effectiveness. At the administrative system level, more innovation is needed to develop data systems in order to enhance capacity of routine health service information.

Providing comprehensive and high-quality services is one of the most important goals of the health systems and a basic principle for Universal Health Coverage (UHC). Fulfilling this important task would be feasible through continuous evaluation and improvement of the health services quality. The aim of this study was to develop a framework for quality assessment of Primary Health Care (PHC) in Iran’s health system. This study is a literature review which continued by a qualitative research. The extracted quality dimensions and indicators for initial screening were reviewed and discussed in two panel meetings attended by the experts with regard to the current package of health system in Iran. Using Delphi method, the dimensions and Quality Indicators(QIs) were evaluated and approved by 39 national health professionals in two rounds. Finally, after 4 panel sessions at ministerial level, the selected QIs were categorized in form of the final dimensions of the quality of care. The literature review emerged 13 Primary Health Care Quality Assessment Frameworks (PHCQAF) including 20 and 698 QIs. Delphi study resulted in developing Iranian PHCQAF comprising 7 dimensions and 40 QIs. Among these, 8 QIs of the dimension of access and equity, 5 QIs of safety dimension, 2 QIs of efficiency dimension, 13 QIs of effectiveness dimension, 2 QIs of patient-centeredness dimension, 3 QIs of governance dimension and 7 QIs of appropriateness dimension were presented. The presented PHCQAF can be used as a comprehensive and practical tool for continuous improvement of the quality of PHC services at local, national and regional levels. Moreover, it can give some useful information to the health managers and policy makers on how the services are provided.

This study investigated public trust in health services in Tabriz, Islamic Republic of Iran. A crosssectional household study was conducted in 2014, using random cluster sampling. A total of 1050 households were enrolled in the study and a valid questionnaire was used to collect data through interviews. The mean score for public trust in health services in Tabriz (out of 100) was 53.91 ± 13.7. People had most trust in professional expertise and lowest in macro-level policy. Specialists, pharmacy doctors and nurses were the health providers that enjoyed the highest levels of trust. It is concluded that public trust in health services in Tabriz is low and policy-makers need to employ appropriate policies to improve patients' experience of health services.

Use of helmet by motorcyclists decreases the incidence and severity of an injury and its related death. Unfortunately, the helmet use rate is not in an acceptable level in Iran. This study aimed to systematically identify the determinants and barriers of helmet use among Iranian motorcyclists. A systematic search of literature was done using PubMed, Scopus, Science Direct and Web of knowledge databases for English literature and SID for Persian articles by specified keywords. Manual searching and reference of references were used to improve the articles identification. Articles published before 1995 and those which did not report the barriers and determinants of helmet use were excluded. Data were extracted using an extraction table. Out of 49 retrieved articles, 13 articles were included in the study. Most of them (70%) had a cross-sectional design. Personal factors (such as older age, marital status and education) and motorcyclist's attitude and beliefs about the helmet effectiveness were reported as important determinants of helmet use. Helmet weight and its visual and audial limitation for motorcyclists were known as the main reported barriers to use a helmet. Interventions affecting the motorcyclists' attitude must be employed along with the legal interventions. Moreover, cost-effective engineering improvements in helmet production remain an important policy to improve the compliance of helmet use.

Background: Scientometric studies are one of the most important and useful tools to assess the research performance and knowledge impact of researchers. The aim of this study was to map out the scientific performance of the Iranian medical academics with respect to a detailed range of scientometric indicators. Methods: Using scientometric approach, individual and scientific performance data of medical academic staff were extracted from the Iranian Scientometric Information Database (ISID). Total number of publications, total number of citations, citation per paper, h-index, international collaboration, self-citation, SJR decile, i10-Index, Quartile distribution were the studied scientometric variables. Out of the registered 19,023 academic staff, 746 were included in the study through simple random sampling method using random sample extraction function in STATA. Data were analyzed using STATA 14 statistical software package. Results: Most of the included academicians were men (60%). A total of 13,682 articles were published by them until 2018, being cited 114,928 times with a mean of 5.77 citation per paper. H-index median was three and about 90% of the staff had an H-index below 10. Number of published papers, cite per paper and H-index metrics were significantly different with respect to gender, academic position/degree, and general field of study (p < 0.05). About 2.5% of published articles were contributed through international collaboration. The scientometric performance of academic staff was highly diverse with respect to the employing institution and its national classification group (type 1, 2, 3). Conclusions: Nevertheless to the great scientific production of medical academics, individual and institutional characteristics were identified as effective variables in academics research performance and should be considered in their assessment. Academicians affiliated with type 2 and 3 universities (based on national ranking of medical universities) had weaker research performance compared to those affiliated with type 1 universities. However, low rate of international research collaborations was a common challenge in medical universities.