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      A General Pathway Model for Improving Health Disparities: Lessons from Community and Cultural Involvement in Improving Cervical Cancer Screening in Vietnamese Women

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          Abstract

          Objective: Chronic diseases have become dominant in the global health landscape. Despite remarkable advances in basic science, pharmacology, surgery, and technology, progress in lifestyle improvements, now considered essential, has been disappointing. Patient adherence to medications and other instructions play the greatest role in individual outcome shortfalls. Classically medicine has approached management using a high-risk model, targeting clinical manifestations of disease with progressively intensive therapies, in contrast with population-based models. In an effort to identify effectiveness among the many models available, the “pathways model” is reevaluated. Methods: Relying upon secondary data from prior studies in which Papanicolaou (Pap) test utilization was successfully improved, a “pathway model” is qualitatively reexamined in which characteristics of patients, providers, and the health system—as impacted by culture, beliefs, values, and habits—are acknowledged and incorporated by community resources into treatment plans. In so doing, health disparities are also addressed. Observations: The culturally inclusive pathways model using immersion community-based participation was successful in modifying behaviors when applied to a high-risk population in great need of improving Pap test adherence. Conclusions: In populations characterized by recognized cultural barriers contributing to low adherence, the pathways model may improve chronic disease outcomes. This model emphasizes a high degree of immersion within a culture and community as vehicles to improve patient behavior and address inequities. Central features are concordant with current concepts in guidelines, scientific statements, manuals, and advisories concerning the conduct of community-based research and social determinants of health. The pathways model deserves consideration for use in other chronic illnesses, such as cardiometabolic disease.

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          Most cited references28

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          Leveraging the Social Determinants of Health: What Works?

          We summarized the recently published, peer-reviewed literature that examined the impact of investments in social services or investments in integrated models of health care and social services on health outcomes and health care spending. Of 39 articles that met criteria for inclusion in the review, 32 (82%) reported some significant positive effects on either health outcomes (N = 20), health care costs (N = 5), or both (N = 7). Of the remaining 7 (18%) studies, 3 had non-significant results, 2 had mixed results, and 2 had negative results in which the interventions were associated with poorer health outcomes. Our analysis of the literature indicates that several interventions in the areas of housing, income support, nutrition support, and care coordination and community outreach have had positive impact in terms of health improvements or health care spending reductions. These interventions may be of interest to health care policymakers and practitioners seeking to leverage social services to improve health or reduce costs. Further testing of models that achieve better outcomes at less cost is needed.
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            Toward a fourth generation of disparities research to achieve health equity.

            Achieving health equity, driven by the elimination of health disparities, is a goal of Healthy People 2020. In recent decades, the improvement in health status has been remarkable for the U.S. population as a whole. However, racial and ethnic minority populations continue to lag behind whites with a quality of life diminished by illness from preventable chronic diseases and a life span cut short by premature death. We examine a conceptual framework of three generations of health disparities research to understand (a) data trends, (b) factors driving disparities, and (c) solutions for closing the gap. We propose a new, fourth generation of research grounded in public health critical race praxis, utilizing comprehensive interventions to address race, racism, and structural inequalities and advancing evaluation methods to foster our ability to eliminate disparities. This new generation demands that we address the researcher's own biases as part of the research process.
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              Social determinants of health--a question of social or economic capital? Interaction effects of socioeconomic factors on health outcomes.

              Social structures and socioeconomic patterns are the major determinants of population health. However, very few previous studies have simultaneously analysed the "social" and the "economic" indicators when addressing social determinants of health. We focus on the relevance of economic and social capital as health determinants by analysing various indicators. The aim of this paper was to analyse independent associations, and interactions, of lack of economic capital (economic hardships) and social capital (social participation, interpersonal and political/institutional trust) on various health outcomes. Data was derived from the 2009 Swedish National Survey of Public Health, based on a randomly selected representative sample of 23,153 men and 28,261 women aged 16-84 year, with a participation rate of 53.8%. Economic hardships were measured by a combined economic hardships measure including low household income, inability to meet expenses and lacking cash reserves. Social capital was measured by social participation, interpersonal (horizontal) trust and political (vertical/institutional trust) trust in parliament. Health outcomes included; (i) self-rated health, (i) psychological distress (GHQ-12) and (iii) musculoskeletal disorders. Results from multivariate logistic regression show that both measures of economic capital and low social capital were significantly associated with poor health status, with only a few exceptions. Significant interactive effects measured as synergy index were observed between economic hardships and all various types of social capital. The synergy indices ranged from 1.4 to 2.3. The present study adds to the evidence that both economic hardships and social capital contribute to a range of different health outcomes. Furthermore, when combined they potentiate the risk of poor health. Copyright © 2012 Elsevier Ltd. All rights reserved.
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                Author and article information

                Journal
                J Clin Med
                J Clin Med
                jcm
                Journal of Clinical Medicine
                MDPI
                2077-0383
                29 January 2019
                February 2019
                : 8
                : 2
                : 154
                Affiliations
                [1 ]Department of Cardiology, The Cardiometabolic Research Institute, Houston, TX 77054 USA; umme.rumana.mbbs@ 123456gmail.com
                [2 ]New York Institute of Technology, Old Westbury, NY 11568, USA
                [3 ]Alzheimer’s Disease Center, NYU Langone Medical Center, New York, NY 10016, USA; fauziaarain@ 123456yahoo.com
                Author notes
                [* ]Correspondence: medkones@ 123456gmail.com
                Author information
                https://orcid.org/0000-0001-5462-9275
                Article
                jcm-08-00154
                10.3390/jcm8020154
                6406352
                30700062
                e5d18e9d-5444-4497-acc8-8c31e58df336
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 14 November 2018
                : 28 January 2019
                Categories
                Article

                papanicolaou tests,pathway model,health-delivery models,community-based participatory research,health disparities,social determinants of health,community developed intervention,chronic disease model,lay health workers

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