Ishveen Chopra

Follow-up care for breast cancer survivors: improving patient outcomes.

Background Appropriate follow-up care is important for improving health outcomes in breast cancer survivors (BCSs) and requires determination of the optimum intensity of clinical examination and surveillance, assessment of models of follow-up care such as primary care-based follow-up, an understanding of the goals of follow-up care, and unique psychosocial aspects of care for these patients. The objective of this systematic review was to identify studies focusing on follow-up care in BCSs from the patient’s and physician’s perspective or from patterns of care and to integrate primary empirical evidence on the different aspects of follow-up care from these studies. Methods A comprehensive literature review and evaluation was conducted for all relevant publications in English from January 1, 1990 to December 31, 2013 using electronic databases. Studies were included in the final review if they focused on BCS’s preferences and perceptions, physician’s perceptions, patterns of care, and effectiveness of follow-up care. Results A total of 47 studies assessing the different aspects of follow-up care were included in the review, with a majority of studies (n=13) evaluating the pattern of follow-up care in BCSs, followed by studies focusing on BCS’s perceptions (n=9) and preferences (n=9). Most of the studies reported variations in recommended frequency, duration, and intensity of follow-up care as well as frequency of mammogram screening. In addition, variations were noted in patient preferences for type of health care provider (specialist versus non-specialist). Further, BCSs perceived a lack of psychosocial support and information for management of side effects. Conclusion The studies reviewed, conducted in a range of settings, reflect variations in different aspects of follow-up care. Further, this review also provides useful insight into the unique concerns and needs of BCSs for follow-up care. Thus, clinicians and decision-makers need to understand BCS’s preferences in providing appropriate follow-up care tailored specifically for each patient.

Hospital length of stay and all‐cause 30‐day readmissions among high‐risk medicaid beneficiaries

This study examined the association between index hospitalization characteristics and the risk of all-cause 30-day readmission among high-risk Medicaid beneficiaries using multilevel analyses. A retrospective cohort with a baseline and a follow-up period was used. The study population consisted of Medicaid beneficiaries (21-64 years old) with selected chronic conditions, continuous fee-for-service enrollment through the observation period, and at least 1 inpatient encounter during the follow-up period (N = 15,806). The outcome of 30-day readmission was measured using inpatient admissions within 30-days from the discharge date of the first observed hospitalization. Key independent variables included length of stay, reason for admission, and month of index hospitalization (seasonality). Multilevel logistic regression that accounted for beneficiaries nested within counties was used to examine this association, after controlling for patient-level and county-level characteristics. In this study population, 16.7% had all-cause 30-day readmissions. Adults with greater lengths of stay during the index hospitalization were more likely to have 30-day readmissions (adjusted odds ratio [AOR]: 1.03, 95% confidence interval [CI]: 1.02-1.04). Adults who were hospitalized for cardiovascular conditions (AOR: 1.20, 95% CI: 1.08-1.33), diabetes (AOR: 1.23, 95% CI: 1.10-1.39), cancer (AOR: 1.55, 95% CI: 1.26-1.90), and mental health conditions (AOR: 2.17, 95% CI: 1.98-2.38) were more likely to have 30-day readmissions compared to those without these conditions.

Ambulatory Care Sensitive Hospitalizations among Medicaid Beneficiaries with Chronic Conditions

ABSTRACT Objectives: This study examined the relationship between ambulatory care sensitive hospitalizations (ACSH) and patient-level and county-level variables. Methods: Utilizing a retrospective cohort approach, multi-state Medicaid claims data from 2007-2008 was used to examine ACSH at baseline and follow-up periods. The study cohort consisted of adult, non-elderly Medicaid beneficiaries with chronic physical conditions, who were continuously enrolled in fee-for-service programs, not enrolled in Medicare, and did not die during the study period (N=7,021). The dependent variable, ACSH, was calculated in the follow-up year using an algorithm from the Agency for Healthcare Research and Quality algorithm. Patient-level (demographic, health status, continuity of care) and county-level (density of healthcare providers and facilities, socio-economic characteristics, local economic conditions) factors were included as independent variables. Multivariable logistic regression models were used to examine the relationship between ACSH and independent variables. Results: In this study population, 8.2% had an ACSH. African-Americans were more likely to have an ACSH [AOR=1.55, 95% CI 1.16, 2.07] than Caucasians. Adults with schizophrenia were more likely to have an ACSH, compared to those without schizophrenia [AOR=1.54, 95% CI 1.16, 2.04]. Residents in counties with a higher number of community mental health centers [AOR=0.88, 95% CI 0.80, 0.97] and rural health centers [AOR=0.98, 95% CI 0.95, 0.99] were less likely to have an ASCH. Conclusions: Programs and interventions designed to reduce the risk of ACSH may be needed to target specific population subgroups and improve healthcare infrastructure.

Nonadherence to Statins and Antihypertensives and Hospitalizations Among Elderly Medicare Beneficiaries With Incident Cancer

Background: Incident cancer diagnosis may increase the risk of coronary artery disease (CAD)-related hospitalizations, especially in older individuals. Adherence to statins and/or angiotensin-converting enzyme inhibitors (ACEIs)/angiotensin II receptor blockers (ARBs)/β-blockers reduces CAD-related hospitalizations. This study examined the relationship between medication adherence and CAD-related hospitalizations immediately following cancer diagnosis. Patients and Methods: A retrospective observational longitudinal study was conducted using SEER-Medicare data. Elderly Medicare fee-for-service beneficiaries with preexisting CAD and incident breast, colorectal, or prostate cancer (N=12,096) were observed for 12 months before and after cancer diagnosis. Hospitalizations measured every 120 days were categorized into CAD-related hospitalization, other hospitalization, and no hospitalization. Medication adherence was categorized into 5 mutually exclusive groups: adherent to both statins and ACEIs/ARBs/β-blockers (reference group), not adherent to both statins and ACEIs/ARBs/β-blockers, adherent to either statins or ACEIs/ARBs/β-blockers, use of one medication class and adherent to that class, and use of one medication class and not adherent to that class. The relationship between medication adherence and hospitalization was analyzed using repeated measures multinomial logistic regressions. Inverse probability treatment weights were used to control for observed group differences among medication adherence categories. Results: Adherence to both statins and ACEIs/ARBs/β-blockers was estimated at 31.2% during the 120-day period immediately following cancer diagnosis; 13.7% were not adherent to both medication classes during the same period, and 27.4% had CAD-related hospitalizations immediately after cancer diagnosis, which declined to 10.6% during the last 4 months of the postdiagnosis period. In the adjusted analyses, those not adherent to both statins and ACEIs/ARBs/β-blockers were more likely to have CAD-related hospitalization compared with those adherent to both medication classes (adjusted odds ratio, 1.82; 95% CI, 1.72-1.92; P<.0001). Conclusions: Given the complexity of interaction between CAD and cancer, it is important to routinely monitor medication adherence in general clinical practice and to provide linkages to support services that can increase medication adherence.

Breastfeeding: An Unknown Factor to Reduce Heart Disease Risk Among Breastfeeding Women.

BACKGROUND Breastfeeding confers many health benefits not only to babies but also to their lactating mothers. Breastfeeding is a notable protective factor in the Gail model for breast cancer and is protective for heart disease. Although individuals in the Appalachian region have lower risk of developing breast cancer, their risk of heart disease is elevated compared with the national value for the United States. SUBJECTS AND METHODS We surveyed 155 predominantly breastfeeding mothers of toddlers under 3 years old, recruited through parenting groups, daycares, and county extension in Appalachian West Virginia. Participants were asked their perceived comparative risks for breast cancer and heart disease and why they felt their risk was higher, same, or lower than that of the general population. RESULTS For breast cancer, 29.7% felt their risk was lower than the general population. For heart disease, 26.5% felt their risk was lower than the general population. Although these risks were highly correlated (p=0.006), there was considerable variability in responses (p<0.03). Qualitative responses for breast cancer risk frequently included breastfeeding (30.3%) and family history (30.3%). Qualitative responses for heart disease noted family history (36.1%) but did not include breastfeeding. A regression analysis found that greater family history, shorter duration of breastfeeding, and fewer pregnancies were associated with greater breast cancer risk perceptions. Family history, lower household income, and current smoking were associated with greater heart disease risk perceptions. CONCLUSIONS These well-educated, predominantly lactating women did not know the protective effects of breastfeeding for heart disease. Increased educational efforts about heart disease may be helpful to encourage more women to breastfeed.

Risk perception for diabetes in Appalachian women

ABSTRACT The social and economic burden of diabetes is large and growing. Diabetes is a significant public health issue in the Appalachian region; women constitute approximately 50% of those diagnosed with diabetes. This cross-sectional study examined the relationship among sociodemographic, anthropometric, lifestyle, and psychosocial factors (cognitive and affective representations) and perceived risk of diabetes in non-diabetic, non-elderly (21–50 years) Appalachian women residing in West Virginia (N = 202). Participants were recruited through social media, flyers, and a newsletter from the West Virginia University Extension. The final survey was conducted from March 2015 to June 2015. Bivariate analyses were used to examine unadjusted relations among sociodemographic, anthropometric, lifestyle, and psychosocial factors and comparative perceived risk of diabetes. In a multivariable logistic regression model, we found that younger age, higher body mass index, non-White race, greater diabetes knowledge, personal control, and moderate amounts of physical activity were significantly, positively associated with higher diabetes risk perception (p < .05). Our results indicated that diabetes knowledge, personal control, and physical activity were related to diabetes risk perception among Appalachian women. Understanding perceived diabetes-related risk may aid in the development of effective intervention strategies to reduce the burden of diabetes among Appalachian and other populations. These cross-sectional findings need further evaluation in longitudinal studies.

Cancer Risk Information Sharing: The Experience of Individuals Receiving Genetic Counseling for BRCA1/2 Mutations

Genetic counseling and testing for familial cancer is a unique context for the communication of risk information in the family. This study utilized a theoretical framework based on the family systems perspective to understand intrafamilial cancer risk communication patterns in the Ashkenazi Jewish population. Individuals (n = 120) at an elevated risk for BRCA1/2 mutations were included. Change in communication patterns over time was assessed using McNemar tests. Associations with communication patterns were assessed with multivariable logistic regression. Overall, the proportion of participants encouraged by others significantly (p < .001) increased from before to after genetic counseling. A higher proportion of participants were encouraged by female family members compared with male family members. Participants who were older, had no personal history of cancer, and had a higher cancer risk perception were more likely to be encouraged by others for genetic testing. Participant’s intent to encourage family members for genetic testing from before counseling to after receipt of genetic test results decreased by 16.7%. Participants who had no personal history of cancer and had informative test results for a BRCA1/2 mutation were more likely to encourage other family members for genetic testing. In addition, qualitative findings suggested that closeness among family members, concern for family, especially future generations, and cognizance about cancer risk facilitate information sharing and encouragement for genetic testing. Our findings indicate that intrafamilial cancer risk communication varies with the structure of family relationships and that genetic counseling can play an important role in improving intrafamilial cancer risk communication.

Reviewing risks and benefits of low-dose computed tomography screening for lung cancer.

ABSTRACT Lung cancer is the third most common cancer among men and women and is one of the leading causes of cancer-related mortality. Diagnosis at an early stage has been suggested crucial for improving survival in individuals at high-risk of lung cancer. One potential facilitator to early diagnosis is low-dose computed tomography (LDCT). The United States Preventive Services Task Force guidelines call for annual LDCT screening for individuals at high-risk of lung cancer. This recommendation was based on the effectiveness of LDCT in early diagnosis of lung cancer, as indicated by the findings from the National Lung Screening Trial conducted in 2011. Although lung cancer accounts for more than a quarter of all cancer deaths in the United States and LDCT screening shows promising results regarding early lung cancer diagnosis, screening for lung cancer remains controversial. There is uncertainty about risks, cost-effectiveness, adequacy of evidence, and application of screening in a clinical setting. This narrative review provides an overview of risks and benefits of LDCT screening for lung cancer. Further, this review discusses the potential for implementation of LDCT in clinical setting.