PubMed Health⌕ Search

Biomedical subjects

James P Smith

Publications and source records attributed to James P Smith.

9 recordsLinked to original sources

Can patient self-management help explain the SES health gradient?

There are large differences in health outcomes by socioeconomic status (SES) that cannot be explained fully by traditional arguments, such as access to care or poor health behaviors. We consider a different explanation-better self-management of disease by the more educated. We examine differences by education in treatment adherence among patients with two illnesses, diabetes and HIV, and then assess the subsequent impact of differential adherence on health status. One unique component of this research is that for diabetes we combine two different surveys-one cohort study and one randomized clinical trial-that are usually used exclusively by either biomedical or/and social scientists separately. For both illnesses, we find significant effects of adherence that are much stronger among patients with high SES. After controlling for other factors, more educated HIV+ patients are more likely to adhere to therapy, and this adherence made them experience improvements in their self-reported general health. Similarly, among diabetics, the less educated were much more likely to switch treatment, which led to worsening general health. In the randomized trial setting, intensive treatment regimens that compensated for poor adherence led to better improvements in glycemic control for the less educated. Among two distinct chronic illnesses, the ability to maintain a better health regimen is an important independent determinant of subsequent health outcomes. This finding is robust across clinical trial and population-based settings. Because this ability varies by schooling, self-maintenance is an important reason for the steep SES gradient in health outcomes.

Adolescent↗

Mammographic screening: no reliable supporting evidence?

Much confusion is being generated by the conclusion of a recent review that "there is no reliable evidence that screening for breast cancer reduces mortality." In that review, however, there was no appreciation of the appropriate mortality-related measure of screening's usefulness; and correspondingly, there was no estimation of the magnitude of this measure. We take this measure to be the proportional reduction in case-fatality rate, and studied its magnitude on the basis of the only valid and otherwise suitable trial. We found reliable evidence of fatality reduction, apparently substantial in magnitude.

Breast Neoplasms↗

Effects of end-of-month admission on length of stay and quality of care among inpatients with myocardial infarction.

PURPOSE: We studied whether transfer of care when house staff and faculty switch services affects length of stay or quality of care among hospitalized patients. SUBJECTS AND METHODS: We performed a retrospective analysis in 976 consecutive patients admitted with myocardial infarction from 1995 to 1998. Patients who were admitted within 3 days of change in staff were denoted end-of-month patients. RESULTS: Of 782 eligible patients, 690 (88%) were admitted midmonth and 92 (12%) at the end of the month. The median length of stay was 7 days for midmonth and 8 days for end-of-month patients (P = 0.06). End-of-month admission was an independent predictor of length of stay in multivariate models. In addition, a significant difference in length of stay was noted between patients admitted at the beginning and end of the academic year. There were no statistically significant differences in the use of aspirin, beta-blockers, angiotensin-converting enzyme inhibitors, or lipid-lowering agents at discharge between midmonth and end-of-month patients. Mortality and in-hospital adverse events did not differ between the two groups, with the possible exception of a greater incidence of acute renal failure in the end-of-month patients. CONCLUSIONS: Although admission during the last 3 days of the month is an independent predictor of length of stay, it does not have a large effect on quality of care among patients with myocardial infarction.

Cardiology Service, Hospital↗

Computed tomography screening for lung cancer.

The development of CT technology reopened the lung cancer screening debate. Computed tomography screening for lung cancer certainly meets all the criteria required for an appropriate screening test. First and perhaps most importantly, the disease for which the screening is being performed should have a significant prevalence in the population being studied and be a significant health risk for those afflicted with it. Lung cancer is the leading cause of cancer death in both men and women, and one of the most lethal of all cancers.

Adenocarcinoma↗

Nuclear weapons.

Explore the source record for details and available documents.

Delivery of Health Care↗