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جستجوی مقالات مرتبط با کلیدواژه « health inequalities » در نشریات گروه « پزشکی »

  • Eric Breton *, Yann Le Bodo

    We argue that the lessons drawn by Guglielmin and colleagues, from the Health in All Policies (HiAP) approach in the municipality of Kuopio, are of limited use to centralised health systems. There is a need for research more attuned to the circumstances of local governments that have little power over the provision of health programmes; yet can address a range of determinants of population health. In these cases, adopting a state-centric perspective may fail to capture the role of other actors such as non-governmental organizations (NGOs) and local branches of state agencies. Evidence from France shows that centralised health systems can foster HiAP locally through political commitment and dedicated coordination staff whose role is to mobilise and support NGOs, inhabitants, and other local branches of regional and central governments. We highlight, as three important challenges, the issue of legitimacy, funding and positioning of the HiAP instrument in the local government structure.

    Keywords: HIAP, System Theory, Governance, Community Health, Health Inequalities, France}
  • Ardavan Mohammad Aghaei, Lawrence Wissow, Ramin Mojtabai, Hadi Zarafshan, Zahra Shahrivar, AmirHossein Nikzad .
    Background

     Children from lower socioeconomic status (SES) households are at greater risk for mental illnesses. Socioeconomic status has different dimensions: Objective SES, subjective SES, and contextual SES. Evidence suggests that subjective SES partially mediates the impact of objective SES on mental health. However, these hypotheses have not been tested in Middle Eastern cultures, including Iran.

    Objectives

     We aimed to investigate: (1) If there is an association between parental objective, subjective, and contextual SES measures and their children's mental health in a network of general practitioners' clients, (2) If such an association exists for objective or contextual indicators, is it partially or fully mediated through subjective measure? and (3) if such an association exists, is it affected by children's age?

    Methods

     We assessed 1,103 parent-child pairs in the general practitioners' network of clients. The child's mental health was assessed by the Strengths and Difficulties Questionnaire (SDQ) and parental objective SES by education level, subjective SES by the MacArthur scale, and contextual SES by the household neighborhood. Linear regression models were used to investigate the impact of different SES measures on the SDQ score both bivariately and adjusted for each other. A mediation analysis was performed for objective SES' indirect effect on SDQ score through subjective SES.

    Results

     We found a significant association between objective and subjective SES and the SDQ score, which remained significant after adjusting for each other. Both objective and subjective measures had a small effect size (Cohen's f-squared = 0.03). There was no association between contextual SES and SDQ scores in our sample.

    Conclusions

     Socioeconomic status impacts children and adolescents' mental health. However, SES is a multi-dimensional concept. Further research considering different dimensions is needed to understand the interplay of these dimensions in different cultures and contexts. Addressing such exploratory questions may help pave the way for detecting and addressing these social determinants in primary care settings.

    Keywords: Health inequalities, Social Class, Mental Disorders, Child Psychiatry, Adolescent Psychiatry}
  • Elizabeth Such *, Katherine Smith, Helen Buckley Woods, Petra Meier

    Background :

    A ‘Health in All Policies’ (HiAP) approach has been widely advocated as a way to involve multiple government sectors in addressing health inequalities, but implementation attempts have not always produced the expected results. Explaining how HiAP-style collaborations have been governed may offer insights into how to improve population health and reduce health inequalities.

    Methods :

    Theoretically focused systematic review. Synthesis of evidence from evaluative studies into a causal logic model.

    Results 

    Thirty-one publications based on 40 case studies from nine high-income countries were included. Intersectoral collaborations for population health and equity were multi-component and multi-dimensional with collaborative activity spanning policy, strategy, service design and service delivery. Governance of intersectoral collaboration included structural and relational components. Both internal and external legitimacy and credibility delivered collaborative power, which in turn enabled intersectoral collaboration. Internal legitimacy was driven by multiple structural elements and processes. Many of these were instrumental in developing (often-fragile) relational trust. Internal credibility was supported by multi-level collaborations that were adequately resourced and shared power. External legitimacy and credibility was created through meaningful community engagement, leadership that championed collaborations and the identification of ‘win-win’ strategies. External factors such as economic shocks and short political cycles reduced collaborative power.

    Conclusion 

    This novel review, using systems thinking and causal loop representations, offers insights into how collaborations can generate internal and external legitimacy and credibility. This offers promise for future collaborative activity for population health and equity; it presents a clearer picture of what structural and relational components and dynamics collaborative partners can focus on when planning and implementing HiAP initiatives. The limits of the literature base, however, does not make it possible to identify if or how this might deliver improved population health or health equity.

    Keywords: Intersectoral Collaboration, Health in All Policies, Healthy Public Policy, Health Inequalities, Health Equity, Governance}
  • Vahid Marandi*

    Many efforts were made to control the COVID-19 pandemic in Iran. Such preventive measures, namely, social distancing, vaccination with foreign vaccines and supporting the domestic vaccine production, on-time diagnostic efforts and treatment of the infected put additional pressure on the health system and the country's budget. The COVID-19 crisis has subsided in the country recently, and now is the time to evaluate and review policies in various domains that were adopted during the crisis. Success in policies and implementation of programs is due to good governance which works in the context of a correct decision-making system. Moreover, efforts to reduce health inequality fall within this context. This note is written to emphasize the importance of policy coherence for the access of people to health through vaccination as a hot current issue in vaccination policymaking. Based on the country’s talented human resources and supporting knowledge-based companies, producing domestic vaccines seems to be a reasonable action that could be done through re-skilling or up-skilling as well as a partnership with pioneer companies. However at this point, one should evaluate and assess the outcomes and achievements of these policies and actions, especially in the field of domestic vaccine production. Moreover, the impact of cost-benefit ratio of such actions on the public health system should be evaluated for preparedness during the future pandemics

    Keywords: Health inequalities, Policymaking, Vaccine strategy, Policy coherence, HiAP, HEiAP}
  • Phillip Baker, Sharon Friel *, Adrian Kay, Fran Baum, Lyndall Strazdins, Tamara Mackean
    BackgroundDespite decades of evidence gathering and calls for action, few countries have systematically attenuated health inequities (HI) through action on the social determinants of health (SDH). This is at least partly because doing so presents a significant political and policy challenge. This paper explores this challenge through a review of the empirical literature, asking: what factors have enabled and constrained the inclusion of the social determinants of health inequities (SDHI) in government policy agendas?
    MethodsA narrative review method was adopted involving three steps: first, drawing upon political science theories on agenda-setting, an integrated theoretical framework was developed to guide the review; second, a systematic search of scholarly databases for relevant literature; and third, qualitative analysis of the data and thematic synthesis of the results. Studies were included if they were empirical, met specified quality criteria, and identified factors that enabled or constrained the inclusion of the SDHI in government policy agendas.
    ResultsA total of 48 studies were included in the final synthesis, with studies spanning a number of country-contexts and jurisdictional settings, and employing a diversity of theoretical frameworks. Influential factors included the ways in which the SDHI were framed in public, media and political discourse; emerging data and evidence describing health inequalities; limited supporting evidence and misalignment of proposed solutions with existing policy and institutional arrangements; institutionalised norms and ideologies (ie, belief systems) that are antithetical to a SDH approach including neoliberalism, the medicalisation of health and racism; civil society mobilization; leadership; and changes in government.
    ConclusionA complex set of interrelated, context-dependent and dynamic factors influence the inclusion or neglect of the SDHI in government policy agendas. It is better to think about these factors as increasing (or decreasing) the ‘probability’ of health equity reaching a government agenda, rather than in terms of ‘necessity’ or ‘sufficiency.’ Understanding these factors may help advocates develop strategies for generating political priority for attenuating HI in the future.
    Keywords: Health Inequities, Health Inequalities, Social Determinants of Health, Agenda-Setting, Policy Process}
  • Walieh Menati, Abdolvahab Baghbanian, Mohsen Asadi-Lari, Javad Moazen, Rostam Menati, Malihe Sohrabivafa, Ali Sadeghi Moghaddam, Aziz Kassani *
    Background
    Socioeconomic status (SES) is one of the main determinants of health-related quality of life (HRQoL), where people with lower SES experience more health problems, have a lower quality of life, and are exposed to have a greater number of health-related risk factors.
    Objectives
    This study aimed to examine the relationships between HRQoL, SES, and several demographic factors among the residents of the city of Ilam (located at the West of Iran).
    Methods
    This cross sectional study was conducted on 400 households from 3 districts of the city of Ilam in 2015. The participants were selected on the basis of the multistage sampling method. The second version of the 12-item Short-Form Health Survey (SF-12v2) questionnaire and the Wealth Index were used to measure HRQoL and SES, respectively.
    Results
    The mean scores of the physical component summary (PCS) and the mental component summary (MCS) were 46.32 ± 9.69 and 42.12 ± 9.11, respectively. The findings indicated that PCS (P = 0.01) and MCS (P = 0.01) were significantly related to SES (wealth index). The demographic variables of age, gender, education level, marital status, job status, and home ownership (P
    Conclusions
    HRQoL is directly related to SES, in that HRQoL is higher in families with higher SES. Similarly, HRQL is higher in younger people, men, and those with a university degree. A decrease in socio-economic inequalities and the gap between the rich and the poor can enhance the individuals’ health status and HRQoL within a community.
    Keywords: Quality of Life, Socioeconomic Status, Health Inequalities, Iran}
  • Sayyed Morteza Hosseini Shokouh, Mohammad Arab, Sara Emamgholipour, Arash Rashidian, Ali Montazeri, Rouhollah Zaboli
    Background
    There are several conflicting conceptual models to explain social determinants of health (SDH) as responsible for most health inequalities. This study aimed to present these models in historical perspective and provide main component of SDH models as an SES indicators.
    Methods
    This was a narrative study using international databases to retrieve literature dealing with conceptual models of SDH. All publication in English language until Mar 2015 was included. The CASP and PRISMA were used to summarize the literature.
    Results
    Overall, 248 publications were retrieved and screened. After exclusion of irrelevant and duplicates, 94 citations were found to be relevant and 21 publications included in this review. In general, 21 models of SDH were found: some models presented before year 1995(n=4), some models presented between 1995 and 2005 (n=13) and some models presented after 2005 (n=4). However, we found three categories of indicators that contribute to SDH models and that were classic factors, fixed and demographic factors and proxy factors.
    Conclusion
    Reduction of socioeconomic inequalities in health requires understanding of mechanisms and causal pathways; therefore, every country needs to design the specific model. As the available models are for developed countries, lack of a specific model for developing ones is tangible. As there is no gold standard related to SES indicators, therefore, it is proposed to use the various indicators based on life course approach, which leads to understanding and adopting effective policy interventions.
    Keywords: Conceptual model, Social determinants of health, Health inequalities, SES indicator}
  • حسن الماس پور خانقاه، علی جنتی، ناصر درخشانی*
    زمینه و اهداف
    نابرابری در سلامت اصطلاح کلی است که برای نشان دادن اختلاف ها، تغییرات و ناهمسانی های موجود در دسترسی به سلامت افراد یا گروه ها از آن استفاده می شود. مطالعه حاضر با هدف بررسی نابرابری های سلامت و عوامل موثر بر آن برای استفاده محققان و علاقه مندان عدالت در سلامت انجام شده است.
    مواد و روش ها
    پژوهش حاضر یک بررسی مروری می باشد که با جستجو در پایگاه های داده ای Pubmed، Scopus، Proquest و موتور جست و جوی Google و در پایگاه های داده ای فارسی زبان SID، Iran doc، در بازه زمانی 2014-2000 انجام گرفت. حاصل این جست و جو 746 مقاله بود که براساس هدف مطالعه، مرحله به مرحله به ترتیب با مطالعه عنوان، چکیده و مقاله کامل، پالایش شد و در نهایت 16 مقاله از میان آن ها انتخاب و مورد بررسی تکمیلی قرار گرفتند.
    یافته ها
    در مطالعه حاضر عوامل موثر در نابرابری های سلامت شناسایی شده عبارت بودند از: 1- عوامل اقتصادی و درآمدی 2- عوامل سیاسی و سیاست های اجتماعی و عمومی 3- عوامل فرهنگی و ارزش های اجتماعی 4- عوامل اجتماعی و جمعیتی 5- عوامل رفتاری، روانی و بیولوژیکی. البته عوامل دیگر مثل عوامل حاکمیتی، بین المللی، انسجام اجتماعی، حوادث و حتی خود نظام سلامت نیز در نابرابری های سلامت دخیل بوده، ولی عوامل پنج گانه ذکر شده جزو مهمترین عوامل موثر در نابرابری های سلامت در مطالعات اکثریت نویسندگان اشاره شده بود.
    بحث و نتیجه گیری
    با توجه به اهمیت سلامت در اقشار مختلف جامعه و موضوع نابرابری در سلامت، باید رویکرد و توجه به سمت کاهش این نابرابری ها در تمامی سیاست ها و برنامه های توسعه مد نظر قرار گیرد و نقش این عوامل در سلامت افراد و جامعه برای مدیران و سیاست گذاران به خوبی روشن و آشکار گردد.
    کلید واژگان: سلامتی, نابرابری در سلامت, عدالت در سلامت, بررسی مروری}
    Hassan Almaspoor Khanghah, Ali Janati, Naser Derakhshani*
    Background And Objectives
    Inequity in health is a universal term which is used for showing current differences، variations and inequalities of people in accessing to health services. The current study aimed to assess the factors influencing health inequalities to present the results to the researchers and health care professionals.
    Material And Methods
    In this review، several databases including PubMed، Proquest، Scopus، Google Scholar search engine، SID and IranDoc were searched within 2000-2014 period. We found 746 articles and refined them step by step according to the aim of the study by reviewing the titles، abstracts and full texts. Finally، 16 articles were selected for further study
    Results
    In the present study، identified determinants in health inequalities were as follows: 1- Economic and income factors 2- Political factors، social and public policy 3- Cultural and social values 4- social and demographic factors 5- Behavioral، psychological and biological factors. Although، other factors like governmental، international، social cohesion، incidents and even the health system itself were involved in health inequalities، but the listed determinants were among the most important determinants in health inequalities in the conducted studies.
    Conclusion
    Given the importance of people''s health and inequalities in health، the approach should focus on reducing the inequalities in all policies and development programs and the role of these factors should be taken into consideration by managers and policy-makers.
    Keywords: Health, Health Inequalities, Inequity in Health, Review}
  • Sharon Friel
    There are many reasons for the health inequities that we see around the world today. Public policy and the way society organises its affairs affects the economic, social and physical factors that influence the conditions in which people are born, grow, live, work and age - the social determinants of health. Tackling health inequities is a political issue that requires leadership, political courage, progressive public policy, social struggle and action, and a sound evidence base.
    Keywords: Health Inequalities, Social Determinants, Public Policy}
  • محمد توکل، محسن ناصری راد
    زمینه و هدف
    سرمایه اجتماعی یکی از تعیین کننده های اجتماعی سلامت است که ممکن است نقش بسزایی در نابرابری های سلامت داشته باشد. میزان سرمایه اجتماعی که افراد بدست می آورند نسبت به موقعیت های اجتماعی متفاوت است و همه افراد نمی توانند از منابع اجتماعی سرمایه اجتماعی به طور یکسان برخوردار باشند. هدف این پژوهش، مطالعه تاثیر ابعاد سرمایه اجتماعی بر ابتلاء به سرطان در مراجعه کنندگان به انستیتو کانسر دانشگاه علوم پزشکی تهران می باشد.
    روش بررسی
    این پژوهش، مطالعه ای توصیفی- تحلیلی است. جامعه آماری شامل بیماران مبتلا به سرطان های معده، کلون و پستان بالاتر از 14 سال مراجعه کننده به انستیتو کانسر تهران در شش ماهه اول سال 1388 است. حجم نمونه برابر با 106 نفر است که با روش نمونه گیری احتمالی طبقه بندی شده متناسب انتخاب گردیده اند. سرمایه اجتماعی بر دو بعد ساختاری و شناختی تاکید دارد. علاوه بر این، بر سرمایه اجتماعی شخصی تاکید شده است.
    یافته ها
    یافته ها نشان می دهد که سرطان نمی تواند صرفا بر حسب عوامل مستقیم آن شناخته شود. نابرابری های سلامت و سرطان حاصل تعامل توامان مولفه های مختلف سرمایه اجتماعی با فاکتورهای رفتاری/روانشناختی و بیولوژیک است. افرادی که در زندگی از سرمایه اجتماعی مشابهی برخوردارند، استرس و رفتارهای ناسالم مرتبط با سرطان را به وجوه متفاوتی تجربه می کنند.
    نتیجه گیری
    افزایش یا کاهش برخورداری از هر یک از مولفه های سرمایه اجتماعی، بعنوان بخشی از سیاست های اجتماعی، می تواند به تغییر در میزان ابتلاء به سرطان بیانجامد.
    کلید واژگان: تعیین کننده های اجتماعی سلامت, جامعه شناسی سلامت, سرطان, سرمایه اجتماعی, نابرابری های سلامت}
    Mohammad Tavakol, Mohsen Naseri Rad
    Background And Aim
    Social capital is one of the social determinants of health, which might have an important role in health inequalities. The amount of social capital gained by individuals differs depending on social circumstances; in fact, not all individuals can equally benefit from social resources of social capital. This study aims to examine the effect of social capital dimensions on being afflicted by cancer in patients referring to Cancer Institute of Tehran.
    Materials And Methods
    This is an analytic-descriptive study, the population of which included all patients aged over 14 and affected by stomach, colon and breast cancers, referring to Cancer Institute of Tehran University of Medical Sciences, Tehran, Iran. The sample consists of 106 subjects who have been chosen using the classified probability sampling method. The data collection device was a questionnaire together with a structured interview. Social capital emphasizes the two structural and cognitive dimensions. Moreover, it stresses personal social capital.
    Results
    Health inequalities and cancer are the results of simultaneous interaction between the different dimensions of social capital and behavioral/psychological and biological factors. People enjoying similar social capital in life experience cancer-related stress and unhealthy behavior in different ways
    Conclusion
    An increase or decrease in any of the social capital components can lead to a change in the number of those getting the disease.
    Keywords: Cancer, Health Inequalities, Social Capital, Social Determinants, Sociology of Health}
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