scholarly journals The Relationship Between the Social Determinants of Health and Preterm Birth in Iran Based on the WHO Model: A Systematic Review and Meta-analysis

2017 ◽  
Vol 6 (2) ◽  
pp. 113-122 ◽  
Author(s):  
Nasibeh Sharifi ◽  
Mahrokh Dolatian ◽  
Azita Fath Nezhad Kazemi ◽  
Reza Pakzad
Keyword(s):  
Systematic Review ◽  
Preterm Birth ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
Meta Analysis ◽  
Determinants Of Health ◽  
The Social ◽  
The Relationship

scholarly journals Developing a critical realist informed framework to explain how the human rights and social determinants of health relationship works

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Fiona Haigh ◽  
Lynn Kemp ◽  
Patricia Bazeley ◽  
Neil Haigh
Keyword(s):  
Human Rights ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
Critical Realism ◽  
Determinants Of Health ◽  
Construction Of Knowledge ◽  
Critical Realist ◽  
Significant Relationships ◽  
The Social ◽  
The Relationship

Abstract Background That there is a relationship between human rights and health is well established and frequently discussed. However, actions intended to take account of the relationship between human rights and social determinants of health have often been limited by lack of clarity and ambiguity concerning how these rights and determinants may interact and affect each other. It is difficult to know what to do when you do not understand how things work. As our own understanding of this consideration is founded on perspectives provided by the critical realist paradigm, we present an account of and commentary on our application of these perspectives in an investigation of this relationship. Findings We define the concept of paradigm and review critical realism and related implications for construction of knowledge concerning this relationship. Those implications include the need to theorise possible entities involved in the relationship together with their distinctive properties and consequential power to affect one another through exercise of their respective mechanisms (ways of working). This theorising work enabled us identify a complex, multi-layered assembly of entities involved in the relationship and some of the array of causal mechanisms that may be in play. These are presented in a summary framework. Conclusion Researchers’ views about the nature of knowledge and its construction inevitably influence their research aims, approaches and outcomes. We demonstrate that by attending to these views, which are founded in their paradigm positioning, researchers can make more progress in understanding the relationship between human rights and the social determinants of health, in particular when engaged in theorizing work. The same approaches could be drawn on when other significant relationships in health environments are investigated.

scholarly journals Frailty in older adults and their association with social determinants of Health. The SABE Colombia Study

2019 ◽  
pp. 89-101 ◽  
Author(s):  
José M Ocampo Chaparro ◽  
Carlos A Reyes Ortiz ◽  
Ximena Castro Flórez ◽  
Fernando Gómez
Keyword(s):  
Social Determinants Of Health ◽  
Social Determinants ◽  
Rural Areas ◽  
Cross Sectional Study ◽  
Determinants Of Health ◽  
Cross Sectional ◽  
Childhood Health ◽  
The Social ◽  
Urban And Rural Areas ◽  
The Relationship

Objective: To estimate the prevalence of frailty and evaluate the relationship with the social determinants of health in elderly residents in urban and rural areas of Colombia. Methods: The SABE (Health, Wellbeing, and Aging) Colombia project is a cross-sectional study, carried out in 2014-2015, involving 24,553 men and women aged 60 years and older who live in the community in Colombia. For this analysis, we used data from 4,474 participants included as a subsample with grip strength measurements. The frailty syndrome was diagnosed according to the Fried criteria (weakness, low speed, low physical activity, exhaustion, and weight loss). The independent variables were grouped as (a) biological and genetic flow, (b) lifestyle (adverse conditions in childhood) (c) social networks and community, and (d) socio-economic, cultural and environmental conditions. Multiple logistic and linear regression analyses were used to assess the prognostic value of frailty for the outcomes of interest. Results: The prevalence of frailty was 17.9%. The factors significantly associated with frailty were older age, being women, living in rural areas, having low education, a greater number of medical conditions, insufficient current income, childhood health problems and a poor economic situation in childhood. Conclusions: Our results support the need to include frailty prevention programs, to improve the socioeconomic health conditions of infants to avoid future development of frailty.

scholarly journals Are COVID-19 models blind to the social determinants of health? A systematic review protocol

BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e048995
Author(s):  
Ava John-Baptiste ◽  
Marc S Moulin ◽  
Shehzad Ali
Keyword(s):  
Infectious Disease ◽  
Systematic Review ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
Social Factors ◽  
Determinants Of Health ◽  
Disease Models ◽  
The Social ◽  
Modelling Studies ◽  
Infectious Disease Models

IntroductionInfectious disease models are important tools to inform public health policy decisions. These models are primarily based on an average population approach and often ignore the role of social determinants in predicting the course of a pandemic and the impact of policy interventions. Ignoring social determinants in models may cause or exacerbate inequalities. This limitation has not been previously explored in the context of the current pandemic, where COVID-19 has been found to disproportionately affect marginalised racial, ethnic and socioeconomic groups. Therefore, our primary goal is to identify the extent to which COVID-19 models incorporate the social determinants of health in predicting outcomes of the pandemic.Methods and analysisWe will search MEDLINE, EMBASE, Cochrane Library and Web of Science databases from December 2019 to August 2020. We will assess all infectious disease modelling studies for inclusion of social factors that meet the following criteria: (a) focused on human spread of SARS-CoV-2; (b) modelling studies; (c) interventional or non-interventional studies; and (d) focused on one of the following outcomes: COVID-19-related outcomes (eg, cases, deaths), non-COVID-19-related outcomes (ie, impacts of the pandemic or control policies on other health conditions or health services), or impact of the pandemic or control policies on economic outcomes. Data will only be extracted from models incorporating social factors. We will report the percentage of models that considered social factors, indicate which social factors were considered, and describe how social factors were incorporated into the conceptualisation and implementation of the infectious disease models. The extracted data will also be used to create a narrative synthesis of the results.Ethics and disseminationEthics approval is not required as only secondary data will be collected. The results of this systematic review will be disseminated through peer-reviewed publication and conference proceedings.PROSPERO registration numberCRD42020207706.

Mobile Health Interventions to Support Caregivers of Older Adults: An Equity-Focused Systematic Review (Preprint)

2021 ◽  
Author(s):  
Anna Garnett ◽  
Melissa Northwood ◽  
Justine Ting ◽  
Ruheena Sangrar
Keyword(s):  
Systematic Review ◽  
Older Adults ◽  
Social Determinants Of Health ◽  
Mobile Health ◽  
Social Determinants ◽  
Determinants Of Health ◽  
Health Technologies ◽  
Health And Wellbeing ◽  
The Social ◽  
The Impact

BACKGROUND Caregivers provide crucial support to older adults so they can remain safely in their homes as they age. Over time, caregivers’ own health can be negatively impacted by their caregiving role. The social determinants of health, such as gender and socioeconomic status, can influence assuming a caregiving role as well as the impacts of caregiving on the caregiver. While programs exist to support caregivers, uptake of these services does not match the need for services expressed by caregivers. Research suggests that supportive interventions offered via mobile health technologies have the potential to increase caregiver accessibility of supportive services. However, a knowledge gap exists regarding the extent to which the social determinants of health are considered in the design, implementation, and evaluation of mobile health (mHealth) interventions intended to support caregivers of older adults. Furthermore, a comprehensive review of the impact of mHealth interventions in this population does not exist. OBJECTIVE To conduct a systematic review to: (1) determine how health inequities are considered in the design, implementation, and evaluation of mHealth interventions for caregivers of older adults using Cochrane-Equity's PROGRESS-Plus framework; and (2) synthesize evidence of the impacts of caregiver-focused mHealth interventions. METHODS A systematic review was conducted in five databases and articles published between January 2010 and June 2021 were included if they evaluated or explored the impacts of mHealth interventions on the health and wellbeing of informal caregivers of older adults. mHealth interventions were defined as those that caregivers of older adults accessed via mobile or wireless devices. RESULTS A total of 28 articles met the inclusion criteria and were included in the systematic review. The interventions evaluated by the included studies sought to help caregivers make connections with services, facilitate the caregiving process, and promote the caregivers’ health and wellbeing. The PROGRESS-Plus framework factors were mainly considered in the results, discussion, and limitations sections of included studies. Some PROGRESS-Plus factors such as sexual orientation, religion and occupation, received little to no consideration in all phases of intervention design, implementation, or evaluation. Overall, findings of this review suggest that mHealth interventions were positively received by users. Such interventions may have the potential to reduce caregiver burden and positively impact caregivers’ physical and mental health while supporting them in their caregiving role. Study findings highlight the importance of available supports to help facilitate caregivers’ use of mHealth interventions particularly early on as well as the use of appropriate language and text. CONCLUSIONS Successful uptake and spread of mHealth interventions to support caregivers of older adults will depend on creating opportunities for inclusive involvement of a broad range of stakeholders at all stages of design, implementation, and assessment. CLINICALTRIAL PROSPERO CRD42021239584; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=239584

scholarly journals Impact and variability of social determinants of health on the transmission and outcomes of COVID-19 across the world: a systematic review protocol

BMJ Open ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. e053481
Author(s):  
Minhazul Abedin ◽  
Abrar Wahab ◽  
Farah Naz Rahman ◽  
Fardina Rahman Omi ◽  
Saadia Shareen ◽  
...  
Keyword(s):  
Systematic Review ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
Observational Studies ◽  
Meta Analysis ◽  
Geographical Location ◽  
Determinants Of Health ◽  
Wide Range ◽  
Meta Analyses ◽  
The Impact

IntroductionThe COVID-19 pandemic has exacerbated health inequalities across the globe, disproportionately affecting those with poor social determinants of health (SDOHs). It is imperative to understand how SDOH influences the transmission and outcomes (positive case, hospitalisation and mortality) of COVID-19. This systematic review will investigate the impact of a wide range of SDOHs across the globe on the transmission and outcomes of COVID-19.Methods and analysisThis review will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocol guidelines. We will search three electronic bibliographical databases (MEDLINE via PubMed, Embase and Scopus), as well as the WHO COVID-19 Global Research on Coronavirus Disease database. We will consider observational studies that report statistical relationships between the SDOHs (as listed in PROGRESS-Plus and Healthy People 2020) and COVID-19 transmission and outcomes. There will be no limitation on the geographical location of publications. The quality of included observational studies will be assessed using a modified version of the Newcastle-Ottawa Scale. A narrative synthesis without meta-analysis reporting standards will be used to report the review findings.Ethics and disseminationThis review will be based on published studies obtained from publicly available sources, and therefore, ethical approval is not required. We will publish the results of this review in a peer-reviewed journal, as well as present the study findings at a national conference.PROSPERO registration numberCRD42021228818.

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