Quality improvement tools in disease management

Disease management programs require constant monitoring to assure quality and address problems efficiently. To initiate continuous quality improvement in a disease management program, there are several methods available to identify potential problems within the program that may be affecting quality. Some common quality improvement instruments include the Plan-Do-Check-Act model, check sheets, and so forth. Whatever model is used, Statistical Process Control using flow charts, histograms, Pareto diagrams, scatter diagrams, control charts, and cause-and-effect diagrams provides a better understanding about how the organization\u27s processes are functioning. These tools facilitate problem recognition and allow an organization to meet established standards of quality in the most economical manner

Chief medical officers\u27 perceptions of disease management programs

The purpose of this article is to examine chief medical officers\u27 (CMOs) perception of disease management programs. Five open-ended questions, each addressing a major issue in the development of disease management programs, were given to 31 CMOs who attended a series of invitation-only conferences on disease management in the fall of 1999. Qualitative data analysis was conducted using the transcripts on each of the issues. Overall, the CMOs viewed the emergence of capitated disease management programs positively. They considered the population of a program to be the contractual patients and/or those at risk for the target disease. On the issue of quality and cost, they preferred an optimal balance between the two. They saw the Internet as an opportunity for the education of patients as well as providers. However, they were concerned about patient confidentiality and further widening of the gap between those who have the financial means to access healthcare and those who do not. In spite of concerns expressed about the current generation of disease management programs, the CMOs held an optimistic view of the future of these programs. To become better accepted, disease management programs must address the issues of confidentiality and quality of care

Blood Meal Analysis to Identify Reservoir Hosts for Amblyomma americanum Ticks

Blood meal analysis identified white-tailed deer as hosts for ticks that carry zoonotic pathogens

Validation of the PROMIS physical function measures in a diverse US population-based cohort of cancer patients

To evaluate the validity of the Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function measures in a diverse, population-based cancer sample

Phytoestrogen consumption from foods and supplements and epithelial ovarian cancer risk: a population-based case control study

BACKGROUND: While there is extensive literature evaluating the impact of phytoestrogen consumption on breast cancer risk, its role on ovarian cancer has received little attention. METHODS: We conducted a population-based case-control study to evaluate phytoestrogen intake from foods and supplements and epithelial ovarian cancer risk. Cases were identified in six counties in New Jersey through the New Jersey State Cancer Registry. Controls were identified by random digit dialing, CMS (Centers for Medicare and Medicaid Service) lists, and area sampling. A total of 205 cases and 390 controls were included in analyses. Unconditional logistic regression analyses were conducted to examine associations with total phytoestrogens, as well as isoflavones (daidzein, genistein, formononetin, and glycitein), lignans (matairesinol, lariciresinol, pinoresinol, secoisolariciresinol), and coumestrol. RESULTS: No statistically significant associations were found with any of the phytoestrogens under evaluation. However, there was a suggestion of an inverse association with total phytoestrogen consumption (from foods and supplements), with an odds ratio (OR) of 0.62 (95% CI: 0.38-1.00; p for trend: 0.04) for the highest vs. lowest tertile of consumption, after adjusting for reproductive covariates, age, race, education, BMI, and total energy. Further adjustment for smoking and physical activity attenuated risk estimates (OR: 0.66; 95% CI: 0.41-1.08). There was little evidence of an inverse association for isoflavones, lignans, or coumestrol. CONCLUSIONS: This study provided some suggestion that phytoestrogen consumption may decrease ovarian cancer risk, although results did not reach statistical significance

Clinical parameters affecting survival outcomes in patients with low-grade serous ovarian carcinoma: An international multicentre analysis

Background: Women with low-grade ovarian serous carcinoma (LGSC) benefit from surgical treatment; however, the role of chemotherapy is controversial. We examined an international database through the Ovarian Cancer Association Consortium to identify factors that affect survival in LGSC. Methods: We performed a retrospective cohort analysis of patients with LGSC who had had primary surgery and had overall survival data available. We performed univariate and multivariate analyses of progression-free survival and overall survival, and generated Kaplan–Meier survival curves. Results: Of the 707 patients with LGSC, 680 (96.2%) had available overall survival data. The patients’ median age overall was 54 years. Of the 659 patients with International Federation of Obstetrics and Gynecology stage data, 156 (23.7%) had stage I disease, 64 (9.7%) had stage II, 395 (59.9%) had stage III, and 44 (6.7%) had stage IV. Of the 377 patients with surgical data, 200 (53.0%) had no visible residual disease. Of the 361 patients with chemotherapy data, 330 (91.4%) received first-line platinum-based chemotherapy. The median follow-up duration was 5.0 years. The median progression-free survival and overall survival were 43.2 months and 110.4 months, respectively. Multivariate analysis indicated a statistically significant impact of stage and residual disease on progression-free survival and overall survival. Platinum-based chemotherapy was not associated with a survival advantage. Conclusion: This multicentre analysis indicates that complete surgical cytoreduction to no visible residual disease has the most impact on improved survival in LGSC. This finding could immediately inform and change practice.publishedVersio

Cigarette smoking is associated with adverse survival among women with ovarian cancer: Results from a pooled analysis of 19 studies

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/136359/1/ijc30600_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/136359/2/ijc30600.pd

Ebola virus epidemiology, transmission, and evolution during seven months in Sierra Leone

The 2013-2015 Ebola virus disease (EVD) epidemic is caused by the Makona variant of Ebola virus (EBOV). Early in the epidemic, genome sequencing provided insights into virus evolution and transmission and offered important information for outbreak response. Here, we analyze sequences from 232 patients sampled over 7 months in Sierra Leone, along with 86 previously released genomes from earlier in the epidemic. We confirm sustained human-to-human transmission within Sierra Leone and find no evidence for import or export of EBOV across national borders after its initial introduction. Using high-depth replicate sequencing, we observe both host-to-host transmission and recurrent emergence of intrahost genetic variants. We trace the increasing impact of purifying selection in suppressing the accumulation of nonsynonymous mutations over time. Finally, we note changes in the mucin-like domain of EBOV glycoprotein that merit further investigation. These findings clarify the movement of EBOV within the region and describe viral evolution during prolonged human-to-human transmission

Recreational physical inactivity and mortality in women with invasive epithelial ovarian cancer: evidence from the Ovarian Cancer Association Consortium

Background: Little is known about modifiable behaviours that may be associated with epithelial ovarian cancer (EOC) survival. We conducted a pooled analysis of 12 studies from the Ovarian Cancer Association Consortium to investigate the association between pre-diagnostic physical inactivity and mortality. Methods: Participants included 6806 women with a primary diagnosis of invasive EOC. In accordance with the Physical Activity Guidelines for Americans, women reporting no regular, weekly recreational physical activity were classified as inactive. We utilised Cox proportional hazard models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) representing the associations of inactivity with mortality censored at 5 years. Results: In multivariate analysis, inactive women had significantly higher mortality risks, with (HR=1.34, 95% CI: 1.18–1.52) and without (HR=1.22, 95% CI: 1.12–1.33) further adjustment for residual disease, respectively. Conclusion: In this large pooled analysis, lack of recreational physical activity was associated with increased mortality among women with invasive EOC