Background: In the United States, medical care accounts for roughly 10% of HEALTH outcomes. All other contributions to HEALTH outcomes are attributed to genetics, environment, social circumstances, and behaviors. These categories are collectively known as social determinants of HEALTH (SDOH), which can cause HEALTH inequities and disparities. It is becoming increasingly important to address the underlying factors of HEALTH outcomes as reimbursement for quality of care becomes the norm in the United States. Methods: A literature review using Google Scholar was conducted to identify strategies that HEALTH care organizations can implement to address social determinants of HEALTH within their communities. Results: At the organizational level, a robust population HEALTH management program and screening for social determinants are important to identify patients who may need assistance with social determinants of HEALTH. Technology is a critical tool for success with these endeavors; however, organizations must be cognizant of physician burnout. At the community level, community partnerships are necessary to extend care outside of the hospital’ s walls. Additionally, selecting medical conditions associated with key social determinants is a practical approach to measuring return on investment. Conclusion: Effectively integrating new programs, technology, and community partnerships that target the vulnerable populations into a HEALTHcare organization can prove to be beneficial in improving HEALTH outcomes and lowering HEALTHcare costs.

Background: Social HEALTH insurances are created to achieve public coverage in order to access affordable HEALTH care services. Therefore, stewardships of HEALTH system should intervene to fulfill these objectives. Objectives: The current study aimed at proposing an interaction pattern between HEALTH system and insurances in the field of financing. Methods: A mixed-method study was conducted in two phases from 2017 to 2018. A qualitative interview was employed to identify dimensions and requirements of the interactions in Iran. In the second phase, the extracted items and dimensions were reviewed by experts using Delphi technique and focus-group discussions in two rounds. The data were analyzed by SPSS software version 22 using one-sample t-test. Results: In the qualitative section, two aspects of interaction ways and mechanisms were determined and finally six themes were extracted. In the first round of Delphi, out of 43 extracted items, 12 items were omitted and 31 items achieved the agreement limit. All 31 items were approved by the experts in the second round of Delphi (P < 0. 05). Conclusions: Employment of interaction concepts in the field of financing requires a thorough examination of the conditions of each country and it is necessary to create the required infrastructures to achieve the desired situation. Interaction mechanisms of stewardship and social HEALTH insurances are not clear in Iran; therefore, creating constituency committees of uniformity is suggested.

Background: Women’s HEALTH is a key factor affecting the HEALTH of the whole population. Tackling inequality in determinants of HEALTH is recognized as the main path toward reducing the inequality in HEALTH outcomes. This study aimed to analyze the provincial inequality in determinants of women's HEALTH and HEALTH care in Iran.Methods: Using the Moss’s model (2002) as a comprehensive framework of determinants of women’s HEALTH, including “geopolitical environment, ” “culture, norms, sanctions, ” “women’s roles in reproduction and production, ” “HEALTH‑related mediators, ” and “HEALTH outcome” categories, we chose 13 indicators. Afterward, using data sources including the Iranian Multiple Indicators of Demographics and HEALTH Survey, the National Organization for Civil Registration, and Statistics Centre of Iran, we analyzed provincial inequality in these indicators in Iran (2011). Gini coefficient and Lorenz curve were used for measuring inequality.Results: Gini coefficients calculated as follows; life satisfaction level (0.027), literate women (0.398), women with proper knowledge about HIV/AIDS prevention (0.483), unemployed women (0.380), women without an income (0.384), women who use at least one type of mass media (0.389), women who used computer or internet (0.467), women who had received pregnancy care from a skill birth attendant (SBA) (0.420), women who had delivered with the help of an SBA (0.426), women who currently smoke cigarettes (0.603), women who currently consume hookah (0.561), women with at least one chronic disease (0.438), and women’s deaths in 2010 and 2011 (0.393 and 0.359, respectively).Conclusions: We found large provincial disparities in determinants of women’s HEALTH in Iran.Determinants such as lifestyle, HEALTH behavior, HEALTH knowledge, and HEALTH‑care services availability should be considered by HEALTH policymakers in addressing the inequality in women’s HEALTH at a provincial level.