The geographical origin of modern humans is the subject of ongoing scientific debate. The 'multiregional evolution' hypothesis argues that modern humans evolved semi-independently in Europe, Asia and Africa between 100,000 and 40,000 years ago, whereas the 'out of Africa' hypothesis contends that modern humans evolved in Africa between 200 and 100 kyr ago, migrating to Eurasia at some later time. Direct palaeontological, archaeological and biological evidence is necessary to resolve this debate. Here we report the discovery of early Middle Stone Age artefacts in an emerged reef terrace on the Red Sea coast of Eritrea, which we date to the last interglacial (about 125 kyr ago) using U-Th mass spectrometry techniques on fossil corals. The geological setting of these artefacts shows that early humans occupied coastal areas and exploited near-shore marine food resources in East Africa by this time. Together with similar, tentatively dated discoveries from South Africa this is the earliest well-dated evidence for human adaptation to a coastal marine environment, heralding an expansion in the range and complexity of human behaviour from one end of Africa to the other. This new, wide-spread adaptive strategy may, in part, signal the onset of modern human behaviour, which supports an African origin for modern humans by 125 kyr ago.
BACKGROUND:Optimal care for patients with diabetes is difficult to achieve in clinical practice.
OBJECTIVE:To evaluate the impact of a registry and decision support system on processes of care, and physiologic control.PARTICIPANTS: Randomized trial with clustering at the practice level, involving 7,412 adults with diabetes in 64 primary care practices in the Northeast.
INTERVENTIONS:Provider decision support (reminders for overdue diabetes tests, alerts regarding abnormal results, and quarterly population reports with peer comparisons) and patient decision support (reminders and alerts).
MEASUREMENTS AND MAIN RESULTS:Process and physiologic outcomes were evaluated in all subjects. Functional status was evaluated in a random patient sample via questionnaire. We used multiple logistic regression to quantify the effect, adjusting for clustering and potential confounders. Intervention subjects were significantly more likely to receive guideline-appropriate testing for cholesterol (OR=1.39; [95%CI 1.07, 1.80] P=0.012), creatinine (OR=1.40; [95%CI 1.06, 1.84] P=0.018), and proteinuria (OR=1.74; [95%CI 1.13, 1.69] P=0.012), but not A1C (OR=1.17; [95% CI 0.80, 1.72] P = 0.43). Rates of control of A1C and LDL cholesterol were similar in the two groups. There were no differences in blood pressure, body mass index, or functional status.
CONCLUSIONS:A chronic disease registry and decision support system based on easily obtainable laboratory data was feasible and acceptable to patients and providers. This system improved the process of laboratory monitoring in primary care, but not physiologic control.
Background-Despite evidence that optimal care for diabetes can result in reduced complications and improved economic outcomes, such care is often not achieved. The Vermont Diabetes Information System (VDIS) is a registry-based decision support and reminder system based on the Chronic Care Model and targeted to primary care physicians and their patients with diabetes.
Adverse drug events and the challenges of clarifying and adhering to complex medication regimens are central drivers of hospital readmissions. Medication reconciliation programs can reduce the incidence of adverse drug events after discharge, but evidence regarding the impact of medication reconciliation on readmission rates and health care costs is less clear. We studied an insurer-initiated care transition program based on medication reconciliation delivered by pharmacists via home visits and telephone and explored its effects on high-risk patients. We examined whether voluntary program participation was associated with improved medication use, reduced readmissions, and savings net of program costs. Program participants had a 50 percent reduced relative risk of readmission within thirty days of discharge and an absolute risk reduction of 11.1 percent. The program saved $2 for every $1 spent. These results represent real-world evidence that insurer-initiated, pharmacist-led care transition programs, focused on but not limited to medication reconciliation, have the potential to both improve clinical outcomes and reduce total costs of care.
Data were collected of children admitted with ALF to 16 US pediatric liver transplant centers from 2008 to 2013 using the PHIS for a retrospective analysis of PALF trends. Patient data linked to the principal diagnosis code for acute necrosis of the liver (570.00) were analyzed for the following: demographics, regional differences, changes over time, pharmaceutical trends, procedural trends, associated diagnoses, and patient outcomes. In 52.5% of 583 patients who met the selection criteria for PALF, the etiology remained undetermined. Acetaminophen toxicity (18.7%) was the most common identifiable etiology, and hepatic encephalopathy (38.6%) was the most common complication. Mortality was lower than previously reported; 95.4% survived and 73.2% survived without a liver transplant. Acute respiratory failure (OR = 3.4, p = 0.035), acute kidney injury (OR = 3.6, p = 0.003), and cerebral edema (OR = 3.6, p = 0.02) were independently associated with increased risk of mortality. The use of N-acetylcysteine in non-acetaminophen-related ALF, the use of intracranial pressure monitoring, and the proportion of sepsis decreased significantly during the study period. The PHIS database can be a useful tool to study the future trends of PALF patients.
Interventions that have proven effective in the management of chronic illness have often been difficult to establish in widespread practice. The Chronic Care Model provides a framework for implementing interventions, but it is expensive and difficult to implement. We developed a decision support system based on this model to improve the care of adults who have diabetes and receive primary care in Vermont or adjacent New York. The Vermont Diabetes Information System uses a network of community laboratories for providing data to produce flowsheets, reminders, action alerts, and population reports that are sent to primary care providers by fax and to patients by mail. Currently, 7295 patients are cared for by 124 primary care providers in 62 practices and are enrolled in a randomized controlled trial to study its effects.
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