Introduction: Research on disparities in health and health care has demonstrated that social, economic, and political factors are key drivers of poor health outcomes. Yet the role of such structural forces on health and health care has been incorporated unevenly into medical training. The framework of structural competency offers a paradigm for training health professionals to recognize and respond to the impact of upstream, structural factors on patient health and health care. Methods: We report on a brief, interprofessional structural competency curriculum implemented in 32 distinct instances between 2015 and 2017 throughout the San Francisco Bay Area. In consultation with medical and interprofessional education experts, we developed open-ended, written-response surveys to qualitatively evaluate this curriculum's impact on participants. Qualitative data from 15 iterations were analyzed via directed thematic analysis, coding language, and concepts to identify key themes. Results: Three core themes emerged from analysis of participants' comments. First, participants valued the curriculum's focus on the application of the structural competency framework in real-world clinical, community, and policy contexts. Second, participants with clinical experience (residents, fellows, and faculty) reported that the curriculum helped them reframe how they thought about patients. Third, participants reported feeling reconnected to their original motivations for entering the health professions. Discussion: This structural competency curriculum fills a gap in health professional education by equipping learners to understand and respond to the role that social, economic, and political structural factors play in patient and community health.
Guatemala’s 36-year civil war officially ended in December 1996 after some 200,000 deaths and one million refugees. Despite the ceasefire, Guatemala continues to be a violent country with one of the highest homicide rates in the world. We investigated potential associations between violence, mental health, and substance abuse in post-conflict Guatemala using a community-based survey of 86 respondents living in urban and rural Guatemala. Overall, 17.4% of our respondents had at least one, direct violent experience during the civil war. In the post-conflict period, 90.7% of respondents reported being afraid that they might be hurt by violence, 40.7% screened positive for depression, 50.0% screened positive for PTSD, and 23.3% screened positive for alcohol dependence. Potential associations between prior violent experiences during the war and indicators of PTSD and aspects of alcohol dependence were found in regression-adjusted models (p < 0.05). Certain associations between prior civil war experiences, aspects of PTSD and alcohol dependence in this cohort are remarkable, raising concerns for the health and safety of the largely indigenous populations we studied. Higher than expected rates of depression, PTSD, and substance abuse in our cohort may be related to the ongoing violence, injury and fear that have persisted since the end of the civil war. These, in turn, have implications for the growing medical and surgical resources needed to address the continuing traumatic and post-traumatic complications in the post-conflict era. Limitations of the current study are discussed. These findings are useful in beginning to understand the downstream effects of the Guatemalan civil war, although a much larger, randomly sampled survey is now needed.
The COVID-19 pandemic demonstrates the critical need to reimagine and repair the broken systems of global health. Specifically, the pandemic demonstrates the hollowness of the global health rhetoric of equity, the weaknesses of a health security-driven global health agenda, and the negative health impacts of power differentials not only globally, but also regionally and locally. This article analyses the effects of these inequities and calls on governments, multilateral agencies, universities, and NGOs to engage in true collaboration and partnership in this historic moment. Before this pandemic spreads furtherincluding in the Global Southwith potentially extreme impact, we must work together to rectify the field and practice of global health.
Introduction: Research on disparities in health and health care has demonstrated that social, economic, and political factors are key drivers of poor health outcomes. Yet the role of such structural forces on health and health care has been incorporated unevenly into medical training. The framework of structural competency offers a paradigm for training health professionals to recognize and respond to the impact of upstream, structural factors on patient health and health care. Methods: We report on a brief, interprofessional structural competency curriculum implemented in 32 distinct instances between 2015 and 2017 throughout the San Francisco Bay Area. In consultation with medical and interprofessional education experts, we developed open-ended, written-response surveys to qualitatively evaluate this curriculum's impact on participants. Qualitative data from 15 iterations were analyzed via directed thematic analysis, coding language, and concepts to identify key themes. Results: Three core themes emerged from analysis of participants' comments. First, participants valued the curriculum's focus on the application of the structural competency framework in real-world clinical, community, and policy contexts. Second, participants with clinical experience (residents, fellows, and faculty) reported that the curriculum helped them reframe how they thought about patients. Third, participants reported feeling reconnected to their original motivations for entering the health professions. Discussion: This structural competency curriculum fills a gap in health professional education by equipping learners to understand and respond to the role that social, economic, and political structural factors play in patient and community health.
Mexico has the second-highest prevalence of cesarean deliveries in the Americas, behind Brazil. Having had a previous cesarean delivery is highly predictive of having subsequent cesarean deliveries, yet evidence on the drivers of primary (that is, first-time) cesarean deliveries is sparse. Using 2014 Mexican birth certificate data and performing population-level analyses of data on 600,124 first-time mothers giving birth after at least thirty-seven weeks of gestation, we examined the prevalence and determinants of primary cesarean deliveries. We found a very high prevalence of cesarean deliveries among these women-48.7 percent-and wide variations across insurance coverage types. Enrollees in Seguro Popular, the public health insurance program introduced in 2003 for the previously uninsured and gradually rolled out nationally, had a cesarean rate of 40 percent, while women insured through the Social Security Institute for Civil Servants had a rate of 78 percent. The lower risk of primary cesarean deliveries among Seguro Popular enrollees persisted after adjustment for covariates. Rates of primary cesarean deliveries were particularly high in private birthing facilities for all first-time mothers. Reducing the rate of cesarean deliveries in Mexico will require interventions across types of insurance and birthing facilities and will also require targeted public health messaging.
The “political economy of health” is concerned with how political and economic domains interact and shape individual and population health outcomes. However, the term is variously defined in the public health, medical, and social science literatures. This could result in confusion about the term and its associated tradition, thereby constituting a barrier to its application in public health research and practice. To address these issues, I survey the political economy of health tradition, clarify its specifically Marxian theoretical legacy, and discuss its relevance to understanding and addressing public health issues. I conclude by discussing the benefits of employing critical theories of race and racism with Marxian political economy to better understand the roles of class exploitation and racial oppression in epidemiological patterning.
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