Data on Medicare eligibility and cancer screening utilization

Health insurance is associated with increased utilization of cancer screening services. Data on breast, prostate and colorectal cancer screening were abstracted from the 2012 Behavioral Risk Factor and Surveillance System. This data in brief includes two sets of analyses: (i) the use of cancer screening in individuals within the low-income bracket and (ii) determinants for each of the three approaches to colorectal cancer screening (fecal occult blood test, colonoscopy and sigmoidoscopy+fecal occult blood test). Covariates included education attainment, residency, and access to health care provider. The data supplement our original research article on the effect of Medicare eligibility on cancer screening utilization “The impact of Medicare eligibility on cancer screening behaviors” [1]

Financial Incentive Increases CPAP Acceptance in Patients from Low Socioeconomic Background

OBJECTIVE: We explored whether financial incentives have a role in patients' decisions to accept (purchase) a continuous positive airway pressure (CPAP) device in a healthcare system that requires cost sharing. DESIGN: Longitudinal interventional study. PATIENTS: The group receiving financial incentive (n = 137, 50.8±10.6 years, apnea/hypopnea index (AHI) 38.7±19.9 events/hr) and the control group (n = 121, 50.9±10.3 years, AHI 39.9±22) underwent attendant titration and a two-week adaptation to CPAP. Patients in the control group had a co-payment of $330-660; the financial incentive group paid a subsidized price of$55. RESULTS: CPAP acceptance was 43% greater (p = 0.02) in the financial incentive group. CPAP acceptance among the low socioeconomic strata (n = 113) (adjusting for age, gender, BMI, tobacco smoking) was enhanced by financial incentive (OR, 95% CI) (3.43, 1.09-10.85), age (1.1, 1.03-1.17), AHI (>30 vs. <30) (4.87, 1.56-15.2), and by family/friends who had positive experience with CPAP (4.29, 1.05-17.51). Among average/high-income patients (n = 145) CPAP acceptance was affected by AHI (>30 vs. <30) (3.16, 1.14-8.75), living with a partner (8.82, 1.03-75.8) but not by the financial incentive. At one-year follow-up CPAP adherence was similar in the financial incentive and control groups, 35% and 39%, respectively (p = 0.82). Adherence rate was sensitive to education (+yr) (1.28, 1.06-1.55) and AHI (>30 vs. <30) (5.25, 1.34-18.5). CONCLUSIONS: Minimizing cost sharing reduces a barrier for CPAP acceptance among low socioeconomic status patients. Thus, financial incentive should be applied as a policy to encourage CPAP treatment, especially among low socioeconomic strata patients

Determinants of OSAS Patients Accepting CPAP Treatment among Low Income and Average/High Income Strata.

<p>AHI – apnea-hypopnea index, BMI – body mass index, CPAP – continuous positive airway pressure, CVD – cardiovascular disease, ESS – Epworth Sleepiness Scale, Financial Incentive – received financial support, HTN – hypertension.</p><p>Area under the ROC 81.0% and 69.3% for low income and average/high income patients, respectively.</p

Flow chart showing stages of the diagnostic and therapeutic process and number of patients at each stage.

<p>Flow chart showing stages of the diagnostic and therapeutic process and number of patients at each stage.</p

Comparison of control and incentive groups.

<p>AHI – Apnea-Hypopnea Index, BMI – Body Mass Index, CPAP accepting – patients who purchased CPAP and commence treatment. CVD – cardiovascular disease, ESS – Epworth Sleepiness Scale, HTN – hypertension, T₉₀ – percent sleeping time in which oxygen saturation was below 90%. Values are mean±SD.</p

Patient Characteristics According to Income Level.

<p>AHI – Apnea-Hypopnea Index, BMI – Body Mass Index, CVD – Cardiovascular Diseases, ESS – Epworth Sleepiness Scale, FOSQ – Functional Outcomes of Sleep Questionnaire, HTN – Hypertension, T₉₀ – percent sleeping time in which oxygen saturation was below 90%. Values are mean±SD.</p

Preoperative assessment of surgical risk: Creation of a scoring tool to estimate 1-year mortality after emergency abdominal surgery in the elderly patient

Background: The risk of mortality after emergency general surgery (EGS) in elderly patients is prolonged beyond initial hospitalization. Our objective was to develop a preoperative scoring tool to quantify risk of 1-year mortality. Methods: Three hundred ninety EGS patients aged 70 years or more were analyzed. Risk factors for 1-year mortality were identified using stepwise-forward logistic multivariate regression and weights assigned using natural logarithm of odds ratios. A geriatric emergency surgery mortality (GEM) score was derived from the aggregate of weighted scores. Leave-one-out cross-validation was performed. Results: One-year mortality was 32%. Risk factors and their weights were: acute kidney injury (2), American Society of Anesthesiology class greater than or equal to 4 (2), Charlson Comorbidity Index greater than or equal to 4 (1), albumin less than 3.5 mg/dL (1), and body mass index (less than 18.5 kg/m2 [1]; 18.5 to 29.9 kg/m2 [0]; ≥30 kg/m2 [-1]). One-year mortality was: GEM 0 to 1 (0% to 7%); GEM 2 to 5 (32% to 68%); GEM 6 to 8 (94% to 100%). C-statistics were .82 and .75 in training and validation data sets, respectively. Conclusions: A simple score using 5 clinical variables predicts 1-year mortality after EGS with reasonable accuracy and assists in preoperative counselin

Outcomes after emergency abdominal surgery in patients with advanced cancer

BACKGROUND: There is increasing emphasis on the appropriateness and quality of acute surgical care for patients with serious illness and at the end of life. However, there is a lack of evidence regarding outcomes after emergent major abdominal surgery among patients with advanced cancer to guide treatment decisions. This analysis sought to characterize adverse outcomes (mortality, complications, institutional discharge) and to identify factors independently associated with 30-day mortality among patients with disseminated cancer who undergo emergent abdominal surgery for intestinal obstruction or perforation. METHODS:This is a retrospective cohort study of 875 disseminated cancer patients undergoing emergency surgery for perforation (n = 499) or obstruction (n = 376) at hospitals participating in the American College of Surgeons' National Surgical Quality Improvement Program from 2005 to 2012. Predictors of 30-day mortality were identified using multivariate logistic regression. RESULTS:Among patients who underwent surgery for perforation, 30-day mortality was 34%, 67% had complications, and 52% were discharged to an institution. Renal failure, septic shock, ascites, dyspnea at rest, and dependent functional status were independent preoperative predictors of death at 30 days. When complications were considered, postoperative respiratory complications and age (75-84 years) were also predictors of mortality.Patients who had surgery for obstruction had a 30-day mortality rate of 18% (n = 68), 41% had complications, and 60% were discharged to an institution. Dependent functional status and ascites were independent predictors of death at 30 days. In addition to these predictors, postoperative predictors of mortality included respiratory and cardiac complications. Few patients (4%) had do-not-resuscitate orders before surgery. CONCLUSION:Emergency abdominal operations in patients with disseminated cancer are highly morbid, and many patients die soon after surgery. High rates of complications and low rates of preexisting do-not-resuscitate orders highlight the need for targeted interventions to reduce complications and integrate palliative approaches into the care of these patients