The Breast-Imaging Operations, Practices and Systems Inventory: A framework to examine mammography facility effects on screening in rural communities.

PURPOSE: Develop and test a measurement framework of mammogram facility resources, policies, and practices in Appalachia. METHODS: Survey items describing 7 domains of imaging facility qualities were developed and tested in the Appalachian regions of Kentucky, Ohio, Pennsylvania, Virginia, and West Virginia. Medicare claims data (2016-2018) were obtained on catchment area mammogram services. Construct validity was examined from associations with facility affiliation, community characteristics, mammogram screening uptake, and market reach. Analyses were performed with t-tests and ANOVA. RESULTS: A total of 192 (of 377) sites completed the survey. Five factors were initially selected in exploratory factor analysis (FA) and refined in confirmatory FA: capacity, outreach & marketing, operational support, radiology review (NNFI = .94, GFI = 0.93), and diagnostic services (NNFI = 1.00, GFI = 0.99). Imaging capacity and diagnostic services were associated with screening uptake, with capacity strongly associated with catchment area demographic and economic characteristics. Imaging facilities in economically affluent versus poorer areas belong to larger health systems and have significantly more resources (P < .001). Facilities in economically distressed locations in Appalachia rely more heavily on outreach activities (P < .001). Higher facility capacity was significantly associated (P < .05) with larger catchment area size (median split: 48.5 vs 51.6), mammogram market share (47.4 vs 52.7), and screening uptake (47.6 vs 52.4). CONCLUSIONS: A set of 18 items assessing breast imaging services and facility characteristics was obtained, representing policies and practices related to a facility's catchment area size, market share, and mammogram screening uptake.

Associations between initiating antihypertensive regimens on stage I-III colorectal cancer outcomes: A Medicare SEER cohort analysis.

PURPOSE: Colorectal cancer (CRC) diagnosis is associated with high mortality in the United States and thus warrants the study of novel treatment approaches. Vascular changes are well observed in cancers and evidence indicates that antihypertensive (AH) medications may interfere with both tumor vasculature and in recruiting immune cells to the tumor microenvironment based on preclinical models. Extant literature also shows that AH medications are correlated with improved survival in some forms of cancer. Thus, this study sought to explore the impact of AH therapies on CRC outcomes. PATIENTS AND METHODS: This study was a non-interventional, retrospective analysis of patients aged 65 years and older with CRC diagnosed from January 1, 2007 to December 31st, 2012 in the Surveillance, Epidemiology, and End-Results (SEER)-Medicare database. The association between AH drug utilization on AJCC stage I-III CRC mortality rates in patients who underwent treatment for cancer was examined using Cox proportional hazards models. RESULTS: The study cohort consisted of 13,982 patients diagnosed with CRC. Adjusted Cox proportional hazards regression showed that among these patients, the use of AH drug was associated with decreased cancer-specific mortality (HR: 0.79, 95% CI: 0.75-0.83). Specifically, ACE inhibitors (hazard ratio [HR]: 0.84, 95% CI: 0.80-0.87), beta-blockers (HR: 0.87, 95% CI: 0.84-0.91), and thiazide diuretics (HR: 0.83, 95% CI: 0.80-0.87) were found to be associated with decreased mortality. An association was also found between adherence to AH therapy and decreased cancer-specific mortality (HR: 0.94, 95% CI: 0.90-0.98). CONCLUSION: Further research needs to be performed, but AH medications may present a promising, low-cost pathway to supporting CRC treatment for stage I-III cancers.

Missing information in statewide and national cancer databases: Correlation with health risk factors, geographic disparities, and outcomes.

OBJECTIVE: The objectives of this study were to analyze factors associated with outcomes and missing data in women with epithelial ovarian cancer using institutional, state and national databases. METHODS: Data were abstracted from the University of Virginia cancer registry, Virginia Department of Health (VDH) database, and Surveillance, Epidemiology, and End Results (SEER) Program and analyzed for correlations with demographics, cancer characteristics, and outcomes. Statewide spatial associations between health risk factors such as smoking, obesity, and missing grade/stage were evaluated using bivariate LiSA in Geoda. RESULTS: There were 524 institutional, 3544 VDH, and 44,464 SEER cases of epithelial ovarian cancer. Institutional cases were younger, most often of white race, had increased grade 1, and decreased unknown grade and stage (all p < 0.001). Significant predictors of unknown grade were non-white race, older age, no surgery, unknown stage/stage IV, and unknown histology/adenocarcinoma. Unknown grade correlated with a significant survival disadvantage. Missing stage and grade correlated with county-level obesity and smoking, as rural regions in Southwest and Southside Virginia had high rates of health risk factors and missing stage/grade compared to urban, affluent regions in Northern Virginia. CONCLUSIONS: Over a third of nationally reported cases have an unknown grade and 10-20% have an unknown stage which correlates with the worst survival. Predictors of unknown grade include insurance, age, race, smoking status, obesity, and rural setting. Missing data may represent geographical differences or disparities in cancer care available as significantly fewer cases had an unknown grade/stage at a tertiary academic medical center compared to VDH and SEER.

Impact of patient race and geographical factors on initiation and adherence to adjuvant endocrine therapy in medicare breast cancer survivors.

To evaluate variations in the use of adjuvant endocrine therapy (AET) by race and geography, this research examined their influence on initiation and adherence to AET in female Medicare enrollees with breast cancer, diagnosed between 2007 and 2011.Using SEER (Surveillance, Epidemiology, and End Results Program)-Medicare data from 2007 to 2001, logistic regressions with random intercept for county of residence were used to predict AET initiation during 1st year and AET adherence assessed by the medication possession ratio (MPR) during year after initiation in a sample of fee-for-service medicare beneficiaries. Part D enrollment was required for the examination of adherence. Independent variables examined were race (black, white, or other) and geographical indicators (area deprivation, non-metropolitan status, and physician shortage).Overall, 23% of patients did not initiate AET within 1 year and 26% of the initiation sample was not adherent to AET, with average follow-up time among initiators of 141 days and an average MPR of 0.84. Significant heterogeneity (P < .01) was found between SEER sites, with initiation rates as low as 69% for Washington and as high as 81% for New Jersey; MPR adherence varied from 77% in New Jersey to 68% in Utah.Blacks had lower initiation, enrollees not in Medicaid had lower adherence, lower area deprivation counties had lower initiation, earlier SEER-Medicare years had both later initiation and nonadherence, and significant (P < .05) variations between SEER sites remained after accounting for area deprivation index, metropolitan status, and physician shortage. Subgroup analysis showed particular pockets of lower initiation for blacks with stage III tumors, on chemotherapy and lower adherence for blacks in youngest age group, with stage III tumors, tamoxifen use and blacks/others in oldest age group.Black women and women living in states with more rurality in the United States were less likely to receive guideline-recommended AET, which necessitates future efforts to alleviate these disparities to improve AET use and ultimately pursue more survival gains through optimizing adjuvant treatment use among cancer survivors.

Evaluating and Comparing Methods for Measuring Spatial Access to Mammography Centers in Appalachia (Re-Revised).

PURPOSE: This study evaluated spatial access to mammography centers in Appalachia using both traditional access measures and the two-step floating catchment area (2SFCA) method. METHODS: Ratios of county mammography centers to women age 45 and older, driving time to nearest mammography facility, and various 2SFCA approaches were compared throughout Pennsylvania, Ohio, Kentucky, and North Carolina. RESULTS: Closest travel time measures favored urban areas. The 2SFCA method produced varied results depending on the parameters chosen. Appalachia areas had greater travel times to their closest mammography center. Appalachia areas in OH and NC had worse 2SFCA scores than non-Appalachia areas of the same states. CONCLUSION: A relative 2SFCA approach, the spatial access ratio (SPAR) method, was recommended because it helped minimize the differences between various 2SFCA approaches.

Spatial Access to Primary Care Providers in Appalachia: Evaluating Current Methodology.

PURPOSE: The goal of this research was to examine spatial access to primary care physicians in Appalachia using both traditional access measures and the 2-step floating catchment area (2SFCA) method. Spatial access to care was compared between urban and rural regions of Appalachia. METHODS: The study region included Appalachia counties of Pennsylvania, Ohio, Kentucky, and North Carolina. Primary care physicians during 2008 and total census block group populations were geocoded into GIS software. Ratios of county physicians to population, driving time to nearest primary care physician, and various 2SFCA approaches were compared. RESULTS: Urban areas of the study region had shorter travel times to their closest primary care physician. Provider to population ratios produced results that varied widely from one county to another because of strict geographic boundaries. The 2SFCA method produced varied results depending on the distance decay weight and variable catchment size techniques chose. 2SFCA scores showed greater access to care in urban areas of Pennsylvania, Ohio, and North Carolina. CONCLUSION: The different parameters of the 2SFCA method-distance decay weights and variable catchment sizes-have a large impact on the resulting spatial access to primary care scores. The findings of this study suggest that using a relative 2SFCA approach, the spatial access ratio method, when detailed patient travel data are unavailable. The 2SFCA method shows promise for measuring access to care in Appalachia, but more research on patient travel preferences is needed to inform implementation.

Predicting Late-stage Breast Cancer Diagnosis and Receipt of Adjuvant Therapy: Applying Current Spatial Access to Care Methods in Appalachia.

PURPOSE: The 2-step floating catchment area (2SFCA) method of measuring access to care has never been used to study cancer disparities in Appalachia. First, we evaluated the 2SFCA method in relation to traditional methods. We then examined the impact of access to mammography centers and primary care on late-stage breast cancer diagnosis and receipt of adjuvant hormonal therapy. METHODS: Cancer registries from Pennsylvania, Ohio, Kentucky, and North Carolina were linked with Medicare data to identify the stage of breast cancer diagnosis for Appalachia women diagnosed between 2006 and 2008. Women eligible for adjuvant therapy had stage I, II, or III diagnosis; mastectomy or breast-conserving surgery; and hormone receptor-positive breast cancers. Geographically weighted regression was used to explore nonstationarity in the demographic and spatial access predictor variables. RESULTS: Over 21% of 15,299 women diagnosed with breast cancer had late-stage (stages III-IV) diagnosis. Predictors included age at diagnosis [odds ratio (OR)=0.86; P<0.001], insurance status (OR=1.32; P<0.001), county primary care to population ratio (OR=0.95; P<0.001), and primary-care 2SFCA score (OR=0.96; P=0.006). Only 46.9% of eligible women received adjuvant hormonal therapy, and predictors included comorbidity status (OR=1.18; P=0.047), county economic status (OR=1.32; P=0.006), and mammography center 2SFCA scores (OR=1.12; P=0.021). CONCLUSIONS: Methodologically, the 2SFCA method offered the greatest predictive validity of the access measures examined. Substantively, rates of late-stage breast cancer diagnosis and adjuvant hormonal therapy are substandard in Appalachia.

Diabetes management before and after cancer diagnosis: missed opportunity.

BACKGROUND: Few studies have examined the management of comorbidities in cancer patients. This study used population-based data to estimate the guideline concordance rates for diabetes management before and after cancer diagnosis and examined if diabetes management services among cancer patients was associated with characteristics of the hospital where the patient was treated. METHODS: We linked 2005-2009 Medicare claims data to information on 2,707 breast and colorectal cancers patients in state cancer registry files. Multivariate logistic regression models examined hospital characteristics associated with receipt of diabetes management care after cancer diagnosis. RESULTS: The rates of HbAlc testing, LDL-C testing, and retinal eye exam decreased from 72.7%, 79.6%, and 57.9% before cancer diagnosis to 58.3%, 69.5%, and 55.8% after diagnosis. The pre- and post-diagnosis diabetes management care was not significantly different by hospital characteristics in the bivariate analysis except for that the distance between residence and hospital was negatively related to retinal eye exam after diagnosis (P<0.05). The multivariate analysis did not identify any significant differences in diabetes management care after cancer diagnosis by hospital characteristics. CONCLUSIONS: Cancer patients received fewer diabetes management care after diagnosis than prior to diagnosis, even for those who were treated in large comprehensive centers. This may reflect a missed opportunity to connect diabetic cancer patients to diabetes care. This study provides benchmarks to measure improvements in comorbidity management among cancer patients.

Risk stratification for long-term mortality after percutaneous coronary intervention.

BACKGROUND: A simple risk score to predict long-term mortality after percutaneous coronary intervention (PCI) using preprocedural risk factors is currently not available. In this study, we created one by simplifying the results of a Cox proportional hazards model. METHODS AND RESULTS: A total of 11,897 patients who underwent PCI from October through December 2003 in New York State were randomly divided into derivation and validation samples. Patients' vital statuses were tracked using the National Death Index through the end of 2008. A Cox proportional hazards model was fit to predict death after PCI using the derivation sample, and a simplified risk score was created. The Cox model identified 12 separate risk factors for mortality including older age, extreme body mass indexes, multivessel disease, a lower ejection fraction, unstable hemodynamic state or shock, several comorbidities (cerebrovascular disease, peripheral vascular disease, congestive heart failure, chronic obstructive pulmonary disease, diabetes mellitus, and renal failure), and a history of coronary artery bypass graft surgery. The C statistics of this model when applied to the validation sample were 0.787, 0.785, and 0.773 for risks of death within 1, 3, and 5 years after PCI, respectively. In addition, the point-based risk score demonstrated good agreement between patients' observed and predicted risks of death. CONCLUSIONS: A simple risk score created from a more complicated Cox proportional hazards model can be used to accurately predict a patient's risk of long-term mortality after PCI.

Health care avoidance among rural populations: results from a nationally representative survey.

BACKGROUND: Previous research suggests that certain populations, including rural residents, exhibit health care avoidant behaviors more frequently than other groups. Additionally, health care avoidance is related to sociodemographics, attitudes, social expectations, ability to pay for care, and prior experiences with providers. However, previous studies have been limited to specific geographic areas, particular health conditions, or by analytic methods. METHODS: The 2008 Health Information Trends Survey (HINTS) was used to estimate the magnitude of health care avoidance nationally and, while controlling for confounding factors, identify groups of people in the United States who are more likely to avoid health care. Chi-square procedures tested the statistical significance (P < .05) of bivariate relationships. Multivariable analysis was conducted through a weighted multiple logistic regression with backward selection. RESULTS: For 6,714 respondents, bivariate analyses revealed differences (P < .05) in health care avoidance for multiple factors. However, multiple regression reduced the set of significant factors (P < .05) to rural residence (OR = 1.69), male sex (OR = 1.24), younger age (18-34 years OR = 2.34; 35-49 years OR = 2.10), lack of health insurance (OR = 1.43), lack of confidence in personal health care (OR = 2.24), lack of regular provider (OR = 1.49), little trust in physicians (OR = 1.34), and poor provider rapport (OR = 0.94). CONCLUSION: The results of this study will help public health practitioners develop programs and initiatives targeted and tailored to specific groups, particularly rural populations, which seek to address avoidant behavior, thereby reducing the likelihood of adverse health outcomes.

Long-term mortality of coronary artery bypass graft surgery and stenting with drug-eluting stents.

BACKGROUND: Few studies have examined differences in long-term mortality between coronary artery bypass graft surgery and stenting with drug-eluting stents (DES) for multivessel disease without left main coronary artery stenosis. This study compares the risks of long-term mortality between these 2 procedures during a follow-up of up to 5 years. METHODS: Patients who underwent isolated bypass surgery (n=13,212) and stenting with DES (n=20,161) between October 2003 and December 2005 in New York State were followed for their vital status through 2008. To control for treatment selection bias, bypass and stenting patients were matched on age, number of diseased coronary vessels, presence of proximal or nonproximal left anterior descending (LAD) artery disease, and propensity of undergoing bypass surgery. Five-year survival rates for the 2 procedures were compared and hazard ratios for death of bypass surgery compared with stenting were obtained. RESULTS: The respective 5-year survival rates in the 8,121 pairs of matched bypass and stenting patients were 80.4% and 73.6% (p<0.001), and the risk of death after bypass surgery was 29% lower than for stenting (hazard ratio = 0.71, 95% confidence interval: 0.67 to 0.77, p<0.001). Significantly lower risks of death for bypass surgery were observed in patients with LAD artery disease but not in patients without LAD artery disease. Significantly lower risks of death for bypass surgery were also found in all patient subgroups defined by the presence of selected baseline risk factors. CONCLUSIONS: Bypass surgery is associated with lower risk of death than stenting with DES for multivessel disease without left main stenosis.

Risk score for predicting long-term mortality after coronary artery bypass graft surgery.

BACKGROUND: No simplified bedside risk scores have been created to predict long-term mortality after coronary artery bypass graft surgery. METHODS AND RESULTS: The New York State Cardiac Surgery Reporting System was used to identify 8597 patients who underwent isolated coronary artery bypass graft surgery in July through December 2000. The National Death Index was used to ascertain patients' vital statuses through December 31, 2007. A Cox proportional hazards model was fit to predict death after CABG surgery using preprocedural risk factors. Then, points were assigned to significant predictors of death on the basis of the values of their regression coefficients. For each possible point total, the predicted risks of death at years 1, 3, 5, and 7 were calculated. It was found that the 7-year mortality rate was 24.2 in the study population. Significant predictors of death included age, body mass index, ejection fraction, unstable hemodynamic state or shock, left main coronary artery disease, cerebrovascular disease, peripheral arterial disease, congestive heart failure, malignant ventricular arrhythmia, chronic obstructive pulmonary disease, diabetes mellitus, renal failure, and history of open heart surgery. The points assigned to these risk factors ranged from 1 to 7; possible point totals for each patient ranged from 0 to 28. The observed and predicted risks of death at years 1, 3, 5, and 7 across patient groups stratified by point totals were highly correlated. CONCLUSION: The simplified risk score accurately predicted the risk of mortality after coronary artery bypass graft surgery and can be used for informed consent and as an aid in determining treatment choice.

A comparison of long-term mortality for off-pump and on-pump coronary artery bypass graft surgery.

BACKGROUND: The survival difference between off-pump and on-pump coronary artery bypass graft surgery for follow-up longer than 5 years is not well-understood. The objective of this study is to examine the difference in 7-year mortality after these 2 procedures. METHODS AND RESULTS: The state of New York's Cardiac Surgery Reporting System was used to identify the 2640 off-pump and 5940 on-pump patients discharged from July through December 2000. The National Death Index was used to ascertain patients' vital statuses through 2007. A logistic regression model was fit to predict the probability of receiving an off-pump procedure using baseline patient characteristics. Off-pump and on-pump patients were matched with a 1:1 ratio based on the probability of receiving an off-pump procedure. Kaplan-Meier survival curves for the 2 procedures were compared using the propensity-matched data, and the hazard ratio for death for off-pump in comparison with on-pump procedures was obtained. In subgroup analyses, the significance of interactions between type of surgery and baseline risk factors was tested. In this study, 2631 pairs of off-pump and on-pump patients were propensity matched. The 7-year Kaplan-Meier survival rates were 71.2% and 73.4% (P=0.07) for off-pump and on-pump surgery, respectively. The hazard ratio for death (off-pump versus on-pump) was 1.10 (95% confidence interval: 0.99 to 1.21, P=0.07). No statistical significance was detected for the interaction terms between the type of surgery and a number of different baseline risk factors. CONCLUSIONS: The difference in long-term mortality between on-pump and off-pump coronary artery bypass graft surgery is not statistically significant.

Development and validation of a scale measuring satisfaction with maternal and newborn health care following childbirth.

To demonstrate the validity and internal consistency of a multi-item scale measuring women's satisfaction with health care received in the weeks following childbirth for both themselves and their newborns. Data are from 1,154 women delivering healthy singletons or twins recruited for a randomized trial. Satisfaction with care items were selected from prior research, including the previously validated Primary Care Satisfaction Survey for Women (PCSSW) and studies of postpartum care. After randomly splitting the sample (1:1) for cross-validation purposes, Exploratory (EFA) and Confirmatory factor analysis (CFA) on ordinal data using the WLSMV estimator available in the MPLUS statistical modeling program were conducted. A CFA was also conducted on available data at 2 weeks and 2 months after discharge in order to examine internal consistency at follow-up. A one factor model with 11 items was selected, with the main factor explaining 83% of total 11-item variation in the overall sample. The Cronbach's alpha for the final 11-item scale at baseline and follow-up time periods was 0.96. High correlations with overall trust in provider (Spearman rho = 0.78) and quality of healthcare (0.75) supported convergent validity. The baseline mean score was 47.9 with a standard deviation of 7.13 and a possible range of 11 (low) to 55 (high satisfaction). This validated scale is a new tool for measuring satisfaction with health care received during the postpartum period for mothers and their newborns. This tool will be useful in studies assessing quality of care and the outcomes of postpartum health care interventions, and it is the first tool to focus on care for the mother-baby unit.

A randomized trial of single home nursing visits vs office-based care after nursery/maternity discharge: the Nurses for Infants Through Teaching and Assessment After the Nursery (NITTANY) Study.

OBJECTIVE: To compare office-based care (OBC) with a care model using a home nursing visit (HNV) as the initial postdischarge encounter for "well" breastfeeding newborns and mothers. DESIGN: Randomized controlled trial. SETTING: A single academic hospital. PARTICIPANTS: A total of 1154 postpartum mothers intending to breastfeed and their 1169 newborns of at least 34 weeks' gestation. INTERVENTIONS: Home nursing visits were scheduled no later than 2 days after discharge; OBC timing was physician determined. OUTCOME MEASURES: Mothers completed telephone surveys at 2 weeks, 2 months, and 6 months. The primary outcome was unplanned health care utilization for mothers and newborns within 2 weeks of delivery. Other newborn outcomes were proportion seen within 2 days after discharge and breastfeeding duration. Maternal mental health, parenting competence, and satisfaction with care outcomes were assessed. Analyses followed an intent-to-treat paradigm. RESULTS: At 2 weeks, hospital readmissions and emergency department visits were uncommon, and there were no study group differences in these outcomes or with unplanned outpatient visit frequency. Newborns in the HNV group were seen no more than 2 days after discharge more commonly than those in the OBC group (85.9% vs 78.8%) (P = .002) and were more likely to be breastfeeding at 2 weeks (92.3% vs 88.6%) (P = .04) and 2 months (72.1% vs 66.4%) (P = .05) but not 6 months. No group differences were detected for maternal mental health or satisfaction with care, but HNV group mothers had a greater parenting sense of competence (P < .01 at 2 weeks and 2 months). CONCLUSIONS: Home nursing visits are a safe and effective alternative to OBC for the initial outpatient encounter after maternity/nursery discharge with similar patterns of unplanned health care utilization and modest breastfeeding and parenting benefits.

Preconception predictors of birth outcomes: prospective findings from the central Pennsylvania women's health study.

OBJECTIVE: To examine maternal pre-pregnancy (preconception) predictors of birthweight and fetal growth for singleton live births occurring over a 2-year period in a prospective study. METHODS: Data are from a population-based cohort study of 1,420 women who were interviewed at baseline and 2-years later; self-report data and birth records were obtained for incident live births during the followup period. The analytic sample includes 116 singleton births. Baseline preconception maternal health status and health-related behaviors were examined as predictors of birthweight and fetal growth, controlling for prenatal and sociodemographic variables, using multiple regression analysis. RESULTS: Preconception BMI (overweight or obese) and vegetable consumption (at least one serving per day) had statistically significant independent and positive effects on birthweight and fetal growth. Maternal weight gain during pregnancy, a prenatal variable, was an additional independent predictor of birthweight and fetal growth. Sociodemographic variables were not significant predictors after controlling for preconception and prenatal maternal characteristics. CONCLUSIONS: Findings confirm that preconception maternal health status and health-related behaviors can affect birthweight and fetal growth independent of prenatal and socioeconomic variables. Implications for preconception care are discussed.

Good adherence and early efficacy using desonide hydrogel for atopic dermatitis: results from a program addressing patient compliance.

BACKGROUND: Patients with atopic dermatitis (AD) may have poor adherence for several reasons, including fear of side effects or dislike of messy topical therapies. PURPOSE: To assess adherence to and efficacy of a multifaceted program for atopic dermatitis using a lightweight, easy-to-apply medication and more frequent return visits. METHODS: Forty-one subjects with mild-to-moderate atopic dermatitis were instructed to use desonide hydrogel 0.05% twice daily. Disease severity was measured at baseline and weeks 1, 2 and 4. Subjects also received a follow-up phone call on day 3. Adherence was assessed using electronic monitors. At the end of the study, subjects sampled and rated the vehicle attributes of six different topical corticosteroid formulations. RESULTS: Mean adherence to twice-daily application slowly declined over time, from 81% on day 1 to 50% by day 27. An improvement in pruritus was observed as early as day 3, and by week 4, mean pruritus and EASI scores improved from baseline by 60% and 61%, respectively. Mean SGA scores also improved to marked improvement/almost clear by week 4. In vehicle attribute surveys, the hydrogel was consistently rated higher than the other vehicles in all categories. CONCLUSION: Subjects responded very well to treatment, and adherence to desonide hydrogel 0.05% was much better than previously reported with ointments. The early efficacy, favorable attributes of the hydrogel vehicle and judicious follow up likely increased adherence to topical therapy. The use of ointments or more potent topical steroids as a first choice may be counterproductive in the treatment of atopic dermatitis.

Pregnancy intention and health behaviors: results from the Central Pennsylvania Women's Health Study cohort.

OBJECTIVE: Our objective was to determine whether intention for future pregnancy affects selected preconception health behaviors that may impact pregnancy outcomes. METHODS: Analyses are based on data from a population-based cohort study of women ages 18-45 residing in Central Pennsylvania. A subsample of 847 non-pregnant women with reproductive capacity comprise the analytic sample. We determined the associations between intention for future pregnancy and the pattern in the following health behaviors over a 2-year period: nutrition (fruit and vegetable consumption), folic acid supplementation, physical activity, binge drinking, smoking, and vaginal douching. Multivariable analyses controlled for pregnancy-related variables, health status, health care utilization, and sociodemographic variables. RESULTS: At baseline, 9% of women were considering pregnancy in the next year, 37% of women were considering pregnancy some other time in the future, and 53% of women were not considering future pregnancy. In multivariable analyses, there were no associations between intention for future pregnancy and maintaining healthy behavior or improving behavior for any of the seven longitudinal health behaviors studied. CONCLUSIONS: The importance of nutrition, folic acid supplementation, physical activity, avoiding binge drinking, not smoking, and avoiding vaginal douching in the preconception period needs to be emphasized by health care providers and policy makers.

Cost impact of oral capecitabine compared to intravenous taxane-based chemotherapy in first-line metastatic breast cancer.

OBJECTIVE: Few studies have examined the costs associated with differing first-line chemotherapy regimens in patients with metastatic breast cancer (MBC). This study compares the relative cost impact of women starting first-line chemotherapy with capecitabine versus taxanes. METHODS: Women receiving first-line chemotherapy for MBC from 1998 to 2002 were identified from a hybrid North Carolina Medicaid-claims-tumour registry linked database and Medicare records, and were followed through to 2005 with claims data. Statistical t- and chi-square tests were used to compare baseline characteristics between patients who received first-line chemotherapy with capecitabine versus taxanes. Projected mean costs for 12 months continuous eligibility were estimated using an ordinary least squares linear regression. Overall cost impact of capecitabine after start of therapy was then examined using a multivariate log-linear regression model. RESULTS: While patients starting taxanes had significantly lower total costs in the pre-index year than patients starting capecitabine (mean: $20,042 vs. $35,538, p<0.001), in the post-index year, the patients on taxanes experienced significantly higher healthcare utilisation and associated costs compared to patients on capecitabine (mean: $43,353 vs. $35,842, p=0.0089). The differences were primarily attributable to lower expenses in chemotherapy related claims and fewer visit days to outpatient settings for patients on capecitabine. After adjustment with propensity scores and other confounders, the capecitabine group was associated with 32% lower healthcare costs compared to the taxane group (p=0.0001). CONCLUSIONS: In this population-based study, women who received capecitabine as first-line treatment for MBC had significantly lower costs compared to women starting taxane therapy.