There are increasing calls for public health policies to realize the visions of a health literate society and health literacy on a global scale. However, there are still more gaps in what researchers recognize and what steps they should take to improve health literacy (HL) skills. This review aimed to measure the HL status of the Iranian population and the effect size of the underlying association between HL and other health outcomes, and to examine the effectiveness of HL interventions on improving the functional dimension of HL, self-efficacy, and health-promoting behaviors. All full text published articles written in English and Persian language were included from inception until January 2019, but the type of study is not limited. A total of 52 potentially relevant articles with data on 36,523 participants were included in this review. In the population with health conditions, the average HL score was 62.51 (95% CI: 59.95–65.08), while in the patient population, the HL score was 64.04 (95% CI: 60.64–67.45). Health literacy was positively and significantly correlated with self-care behaviors 0.42 (95% CI; 0.35–0.49), self-efficacy 0.35 (95% CI; 0.26–0.43), knowledge 0.50 (95% CI; 0.44–0.55), communication skills 0.33 (95% CI; 0.25–0.41), and health promotion behaviors 0.39 (95% CI; 0.35–0.44). The meta-analyses showed that overall, HL interventions significantly improved HL status, self-efficacy, and health promotion behaviors. Results indicate that HL status was in the range of marginal HL level in the Iranian population. Our finding highlights the beneficial impact of HL intervention on health-promoting behaviors and self-efficacy, particularly in low literacy/socioeconomic status people.

Background: The identification and management of unmet needs is an essential component of health care for the growing cancer patient population. Information about the prevalence of unmet need can help medical service planning/redesigning. Therefore, this study aimed to identify unmet needs in Iranian patients suffering from cancer. Methods: This cross-sectional correlational study was conducted on 650 cancer patients admitted to the major medical centers in Mashhad and Neyshabur by census sampling. The data was gathered by the Survivor Unmet Needs Survey (SUNS). Data were analyzed using ANOVA, t-test and Pearson correlation. Results: Most of participants were female (56%, n=263) and Mashhad resident (67.1%, n=436). The most common cancers were colorectal (17.8 %, n=116), stomach (13.6%, n=88) and lung (9.4%, n=62), respectively. The highest unmet needs score belonged to work and financial needs (2.46 ± 0.91), and the least was the emotional domain (1.92±0.90). Among demographic factors, a significant relationship was found between resident places (p<0.001), and cancer type (p<0.0001). Conclusion: This is the first study addressing the unmet needs of cancer patients in Iran. It reveals that cancer patients had a relative high number of unmet needs; this shows the necessity of including these factors in the routine assessment of all cancer patients and planning treatment interventions based on their individual’s need.

Background: Inadequate health literacy (HL) is associated with poorer health outcomes and worse health care. Up to one-half of Iranian women have difficulty in interpreting medical information, and national HL assessment has been limited in Iran. We have undertaken a systematic review of the literature and used a metaanalysis to examine the situation of HL status in Iranian women, and determine the relationship between HL and self-efficacy, and self-care behaviors. Methods: Six databases (PubMed, Web of Science, Scopus, Google Scholar, Scientific Information Database) and other non-indexed citations were searched using a variety of keywords regarding HL and Iranian women. The bias risk was decreased by the involvement of two independent reviewers assessing study quality and eligibility of included articles. Results: The average HL scores were in the range of marginal or limited (63.08; 95% CI, 59.83–66.32) in the Iranian women. The HL score was significantly higher among pregnant women (67.55; 95% CI, 32.54– 82.57) and was lower in women with chronic disease (57.79; CI, 48.34-67.24). There was a significant association between HL and self-efficacy and self-care behaviors. Conclusion: The average level of HL in the period of the review was marginal among Iranian women. The relationship of HL with self-efficacy and self-care behaviors was statistically significant but moderate.

Data on how the complex cognitive processes, personal, and social factors influence health promoting behaviors of women are very limited and the results have been inconsistent. Here, we examine how prior behaviors, behavior-specific cognition (perceived benefits/barriers, self efficacy, and activity-related affect), situational and interpersonal factors (social support, modeling, and norms) associated with the level of dietary behaviors in Iranian women. A cross sectional survey of 356 women aged 18–60 years from health care centers in Iran was undertaken from October 2015 to September 2016. Multiple analytical models and Pender’s health promotion model (HPM) were implemented to examine the effectiveness of HPM and its potential constructs on PA behaviors. The instruments used were designed using Pender’s HPM as a basis. The path model fitted data and accounted for 51% of the variance in dietary behaviors; and prior behavior, perceived self-efficacy, interpersonal influences, and commitment to plan were significantly associated with dietary behavior. We found that constructs from the HPM are empirically improved dietary behavior among the women population. This result provides a suitable source for designing strategies of a nutrition education intervention for improving the frequency and nutrient intake of breakfast consumption among female students.

Background. Risk factors of coronary heart disease have been discussed in the literature; however, conventional statistical models are not appropriate when the outcome of interest is number of vessels with obstructive coronary artery disease. In this paper, a novel statistical model is discussed to investigate the risk factors of number of vessels with obstructive coronary artery disease. Methods. This cross-sectional study was conducted on 633 elderly cardiovascular patients at Ghaem Hospital, Mashhad, Iran from September 2011 to May 2013. Clinical outcome is number of vessels with obstructive coronary artery disease (=0, 1, 2, 3), and predictor variables are baseline demographics and clinical features. A right-truncated zero-inflated double Poisson regression model is performed which can accommodate both underdispersion and excess zeros in the outcome. The goodness-of-fit of the proposed model is compared with conventional regression models. Results. Out of 633 cardiovascular patients, 327 were male (51.7%). Mean age was ~ 65 ± 7 years (for individuals with zero, one ,and two coronary artery stenosis) and ~ 66 ± 7 years (for individuals with three coronary artery stenosis). BMI ( 0.04 ± 0.01 , p = 0.011 ) and female gender ( 0.19 ± 0.09 , p = 0.032 ) were significant associated with the count part of the model, and only BMI ( − 0.47 ± 0.2 , p = 0.011 ) was significantly predictive of logit part of the model. The goodness-of-fit measurements indicate that the proposed model outperforms the conventional regression models. Conclusion. The proposal regression model shows a better fit compared to the standard regression analysis in modeling number of vessels with obstructive coronary artery disease. Hence, using truncated zero-inflated double Poisson regression model—as an alternative model—is advised to study the risk factors of number of involved vessels of coronary artery stenosis.