Publications
Department of Medicine faculty members published more than 3,000 peer-reviewed articles in 2022.
2017
2017
2017
2017
OBJECTIVE
This study examined mammogram screening rates among women with severe mental illness by using a socioecological framework. Because it has been shown that people with severe mental illness receive less preventive health care overall, the analysis included psychosocial predictors of mammogram screening rates in a cohort of women with severe mental illness.
METHODS
This retrospective cohort study (N=14,651) used existing statewide data for women ages 48-67 in California with Medicaid insurance who received treatment in the specialty mental health care system. The primary outcome of interest was evidence of breast cancer screening via mammogram. The associations of each predictor of interest with mammogram screening were evaluated by using Poisson models with robust standard errors.
RESULTS
Across all demographic and diagnostic categories, rates of breast cancer screening in this cohort of women with severe mental illness fell below the national average. Only 26.3% (3,859/14,651) of women in the cohort received breast cancer screening in the past year. This study replicated previous findings that women with schizophrenia spectrum disorder and those with a comorbid substance use disorder are less likely to receive screening than those with other types of mental illness. In this cohort of women with severe mental illness, evidence of nonpsychiatric health care utilization was strongly associated with breast cancer screening (adjusted risk ratio=3.30, 95% confidence interval=2.61-4.16, p<.001).
CONCLUSIONS
The findings can inform efforts to improve breast cancer screening among women with severe mental illness, such as targeted outreach to population subsets and colocation of primary care services in mental health treatment settings.
View on PubMed2017
OBJECTIVE
We sought to determine the impact of changes in breastfeeding rates on population health.
MATERIALS AND METHODS
We used a Monte Carlo simulation model to estimate the population-level changes in disease burden associated with marginal changes in rates of any breastfeeding at each month from birth to 12 months of life, and in rates of exclusive breastfeeding from birth to 6 months of life. We used these marginal estimates to construct an interactive online calculator (available at www.usbreastfeeding.org/saving-calc ). The Institutional Review Board of the Cambridge Health Alliance exempted the study.
RESULTS
Using our interactive online calculator, we found that a 5% point increase in breastfeeding rates was associated with statistically significant differences in child infectious morbidity for the U.S. population, including otitis media (101,952 cases, 95% confidence interval [CI] 77,929-131,894 cases) and gastrointestinal infection (236,073 cases, 95% CI 190,643-290,278 cases). Associated medical cost differences were $31,784,763 (95% CI $24,295,235-$41,119,548) for otitis media and $12,588,848 ($10,166,203-$15,479,352) for gastrointestinal infection. The state-level impact of attaining Healthy People 2020 goals varied by population size and current breastfeeding rates.
CONCLUSION
Modest increases in breastfeeding rates substantially impact healthcare costs in the first year of life.
View on PubMed2017
2017