Consensus guidelines for enhanced recovery after gastrectomyKaroline Mortensen, Magnus Nilsson, K. Slim et al.|British journal of surgery|2014 BACKGROUND: Application of evidence-based perioperative care protocols reduces complication rates, accelerates recovery and shortens hospital stay. Presently, there are no comprehensive guidelines for perioperative care for gastrectomy. METHODS: An international working group within the Enhanced Recovery After Surgery (ERAS®) Society assembled an evidence-based comprehensive framework for optimal perioperative care for patients undergoing gastrectomy. Data were retrieved from standard databases and personal archives. Evidence and recommendations were classified according to the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) system and were discussed until consensus was reached within the group. The quality of evidence was rated 'high', 'moderate', 'low' or 'very low'. Recommendations were graded as 'strong' or 'weak'. RESULTS: The available evidence has been summarized and recommendations are given for 25 items, eight of which contain procedure-specific evidence. The quality of evidence varies substantially and further research is needed for many issues to improve the strength of evidence and grade of recommendations. CONCLUSION: The present evidence-based framework provides comprehensive advice on optimal perioperative care for the patient undergoing gastrectomy and facilitates multi-institutional prospective cohort registries and adequately powered randomized trials for further research.
Comparing Amazon’s Mechanical Turk Platform to Conventional Data Collection Methods in the Health and Medical Research LiteratureKaroline Mortensen, Taylor L. Hughes|Journal of General Internal Medicine|2018 Racial and Ethnic Disparities in Health Care Access and Utilization Under the Affordable Care ActOBJECTIVE: To examine racial and ethnic disparities in health care access and utilization after the Affordable Care Act (ACA) health insurance mandate was fully implemented in 2014. RESEARCH DESIGN: Using the 2011-2014 National Health Interview Survey, we examine changes in health care access and utilization for the nonelderly US adult population. Multivariate linear probability models are estimated to adjust for demographic and sociodemographic factors. RESULTS: The implementation of the ACA (year indicator 2014) is associated with significant reductions in the probabilities of being uninsured (coef=-0.03, P<0.001), delaying any necessary care (coef=-0.03, P<0.001), forgoing any necessary care (coef=-0.02, P<0.001), and a significant increase in the probability of having any physician visits (coef=0.02, P<0.001), compared with the reference year 2011. Interaction terms between the 2014 year indicator and race/ethnicity demonstrate that uninsured rates decreased more substantially among non-Latino African Americans (African Americans) (coef=-0.04, P<0.001) and Latinos (coef=-0.03, P<0.001) compared with non-Latino whites (whites). Latinos were less likely than whites to delay (coef=-0.02, P<0.001) or forgo (coef=-0.02, P<0.001) any necessary care and were more likely to have physician visits (coef=0.03, P<0.005) in 2014. The association between year indicator of 2014 and the probability of having any emergency department visits is not significant. CONCLUSIONS: Health care access and insurance coverage are major factors that contributed to racial and ethnic disparities before the ACA implementation. Our results demonstrate that racial and ethnic disparities in access have been reduced significantly during the initial years of the ACA implementation that expanded access and mandated that individuals obtain health insurance.
Food insecurity, health care utilization, and health care expendituresOBJECTIVE: To disentangle the relationships among food insecurity, health care utilization, and health care expenditures. DATA SOURCES/STUDY SETTING: We use national data on 13 465 adults (age ≥ 18) from the 2016 Medical Expenditure Panel Survey (MEPS), the first year of the food insecurity measures. STUDY DESIGN: We employ two-stage empirical models (probit for any health care use/expenditure, ordinary least squares, and generalized linear models for amount of utilization/expenditure), controlling for demographics, health insurance, poverty status, chronic conditions, and other predictors. PRINCIPAL FINDINGS: Our results show that the likelihood of any health care expenditure (total, inpatient, emergency department, outpatient, and pharmaceutical) is higher for marginal, low, and very low food secure individuals. Relative to food secure households, very low food secure households are 5.1 percentage points (P < .001) more likely to have any health care expenditure, and have total health care expenditures that are 24.8 percent higher (P = .011). However, once we include chronic conditions in the models (ie, high blood pressure, heart disease, stroke, emphysema, high cholesterol, cancer, diabetes, arthritis, and asthma), these underlying health conditions mitigate the differences in expenditures by food insecurity status (only the likelihood of any having any health care expenditure for very low food secure households remains statistically significant). CONCLUSIONS: Policy makers and government agencies are focused on addressing deficiencies in social determinants of health and the resulting impacts on health status and health care utilization. Our results indicate that chronic conditions are strongly associated with food insecurity and higher health care spending. Efforts to alleviate food insecurity should consider the dual burden of chronic conditions. Finally, future research can address specific mechanisms underlying the relationships between food security, health, and health care.
Eliminating health care inequities through strengthening access to careOBJECTIVE: To provide a research agenda and recommendations to address inequities in access to health care. DATA SOURCES AND STUDY SETTING: The Agency for Healthcare Research and Quality (AHRQ) organized a Health Equity Summit in July 2022 to evaluate what equity in access to health care means in the context of AHRQ's mission and health care delivery implementation portfolio. The findings are a result of this Summit, and subsequent convenings of experts on access and equity from academia, industry, and the government. STUDY DESIGN: Multi-stakeholder input from AHRQ's Health Equity Summit, author consensus on a framework and key knowledge gaps, and summary of evidence from the supporting literature in the context of the framework ensure comprehensive recommendations. DATA COLLECTION/EXTRACTION METHODS: Through a stakeholder-engaged process, themes were developed to conceptualize access with a lens toward health equity. A working group researched the most appropriate framework for access to care to classify limitations identified during the Summit and develop recommendations supported by research in the context of the framework. This strategy was intentional, as the literature on inequities in access to care may itself be biased. PRINCIPAL FINDINGS: The Levesque et al. framework, which incorporates multiple dimensions of access (approachability, acceptability, availability, accommodation, affordability, and appropriateness), is the backdrop for framing research priorities for AHRQ. However, addressing inequities in access cannot be done without considering the roles of racism and intersectionality. Recommendations include funding research that not only measures racism within health care but also tests burgeoning anti-racist practices (e.g., co-production, provider training, holistic review, discrimination reporting, etc.), acting as a convener and thought leader in synthesizing best practices to mitigate racism, and forging the path forward for research on equity and access. CONCLUSIONS: AHRQ is well-positioned to develop an action plan, strategically fund it, and convene stakeholders across the health care spectrum to employ these recommendations.