scholarly journals Joel D. Howell (ed.), Technology and American medical practice 1880–1930: an anthology of sources, Medical Care in the United States: The Debate before 1940, vol. 6, New York, Garland, 1989, 4to, pp. xix, 366, illus., $50.00. - Edward T. Morman (ed.), Efficiency, scientific management, and hospital standardization: an anthology of sources, Medical Care in the United States: The Debate before 1940, vol. 9, New York, Garland, 1989, 8vo, pp. 274, illus., $45.00.

1990 ◽  
Vol 34 (3) ◽  
pp. 353-354
Author(s):  
John Harley Warner
PEDIATRICS ◽  
1973 ◽  
Vol 52 (1) ◽  
pp. 148-148
Author(s):  
Glenn Austin

Some parents of deaf and hard of hearing children are impatient with American medical care and not without justification. The enclosed "Hearing Checklist"1 was put together by a parent, working for the volunteer organization "Foundation for Hearing Research Inc." She gathered the material from several sources after hearing that deaf infants are routinely picked up in New Zealand by observation in their clinics at 6 months of age. It is evidently rare to pick them up this early in the United States.


1986 ◽  
Vol 2 (2) ◽  
pp. 275-283
Author(s):  
Howard L. Kaye

In a recent article in Commentary, American medical sociologist Florence Ruderman observes that the evolution of medical practice and medical attitudes in the United States has been guided largely by the autonomous development of biomedical science and technology. “Science”, she asserts:… is a profoundly unsettling force … it causes endless dislocations and conflicts. Most basically, science is a source of independent values, motives, norms of conduct, and criteria of judgment. It sets its own course, defines its own goals. As for technology, its impact on medicine is even more obvious and direct; again, not just in producing tools or power but in transmitting values and in shaping the field from within. One need only think of the artificial-heart cases now in the news to realize that the physicians involved … are impelled by a technological drive that has its own logic and values, its own momentum—and its own dangers (24,45).


2020 ◽  
Author(s):  
Shelley H. Liu ◽  
Bian Liu ◽  
Agnes Norbury ◽  
Yan Li

Introduction: We conducted an ecological study to determine if state-level healthcare access is associated with trajectories of daily reported COVID-19 cases in the United States. Our focus is on trajectories of daily reported COVID-19 cases, rather than cumulative cases, as trajectories help us identify trends in how the pandemic naturally develops over time, and study the shapes of the curve in different states. Methods: We analyzed data on daily reported confirmed and probable COVID-19 cases from January 21 to June 16, 2020 in 50 states, adjusted for the population size of each state. Cluster analysis for time-series data was used to split the states into clusters that have distinct trajectories of daily cases. Differences in socio-demographic characteristics and healthcare access between clusters were tested. Adjusted models were used to determine if healthcare access is associated with reporting a high trajectory of COVID-19 cases. Results: Two clusters of states were identified. One cluster had a high trajectory of population-adjusted COVID-19 cases, and comprised of 19 states, including New York and New Jersey. The other cluster of states (n=31) had a low trajectory of population-adjusted COVID-19 cases. There were significantly more Black residents (p=0.027) and more nursing facility residents (p=0.001) in states reporting high trajectory of COVID-19 cases. States reporting a high trajectory of COVID-19 cases also had fewer uninsured persons (p=0.005), fewer persons who reported having to forgo medical care due to cost (p=0.016), more registered physicians (p=0.002) and more nurses (p=0.03), higher health spending per capita (p=0.01), fewer residents in Health Professional Shortage Areas per 100,000 population (p=0.027), and higher adoption of Medicaid Expansion (p=0.05). In adjusted models, a higher proportion of uninsured persons (OR: 0.51 [0.25-0.85]; p=0.032), higher proportion of patients who had to forgo medical care due to cost (OR: 0.55 [0.28-0.95]; p=0.048), and no adoption of Medicaid expansion (OR: 0.05 [0-0.59]; p=0.04), were associated with reporting a low trajectory of COVID-19 cases. Conclusion: Our findings from adjusted models suggest that healthcare access can partially explain variations in COVID-19 case trajectories by state.


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