Problems Paying Medical Bills Among Adults With Diagnosed HIV in the United States.

ABSTRACT: Problems paying medical bills may affect HIV outcomes among people with HIV (PWH), thus limiting progress toward achieving national HIV prevention goals. We analyzed nationally representative data from CDC's Medical Monitoring Project collected during 6/2018-5/2020. Among 8,108 PWH, we reported weighted percentages of characteristics and examined associations between problems paying medical bills and clinical outcomes using prevalence ratios with predicted marginal means, adjusting for potential confounding. Nineteen percent of PWH reported problems paying medical bills. Problems paying medical bills were more prevalent among persons who experienced homelessness (26.9% vs. 18.3%). People with problems paying medical bills were more likely to have adverse HIV outcomes and were more likely to have ≥1 emergency room visit (prevalence ratio [PR]: 1.59; 95% CI [1.51-1.68]) or hospitalization (PR: 1.72; 95% CI [1.55-1.91]) in the past year. Identifying PWH experiencing financial barriers and expanding access to safety net programs could improve access to care and outcomes.

Breast Cancer Risk Assessment Tools for Stratifying Women into Risk Groups: A Systematic Review.

BACKGROUND: The benefits and harms of breast screening may be better balanced through a risk-stratified approach. We conducted a systematic review assessing the accuracy of questionnaire-based risk assessment tools for this purpose. METHODS: Population: asymptomatic women aged ≥40 years; Intervention: questionnaire-based risk assessment tool (incorporating breast density and polygenic risk where available); Comparison: different tool applied to the same population; Primary outcome: breast cancer incidence; Scope: external validation studies identified from databases including Medline and Embase (period 1 January 2008-20 July 2021). We assessed calibration (goodness-of-fit) between expected and observed cancers and compared observed cancer rates by risk group. Risk of bias was assessed with PROBAST. RESULTS: Of 5124 records, 13 were included examining 11 tools across 15 cohorts. The Gail tool was most represented (n = 11), followed by Tyrer-Cuzick (n = 5), BRCAPRO and iCARE-Lit (n = 3). No tool was consistently well-calibrated across multiple studies and breast density or polygenic risk scores did not improve calibration. Most tools identified a risk group with higher rates of observed cancers, but few tools identified lower-risk groups across different settings. All tools demonstrated a high risk of bias. CONCLUSION: Some risk tools can identify groups of women at higher or lower breast cancer risk, but this is highly dependent on the setting and population.

Use of Recommended Preventive Health Care Services and Variations in HIV Care Among Women With HIV in the United States, 2013-2014: Opportunities for Expanded Partnerships in Support of Ending the HIV Epidemic.

BACKGROUND: Despite recommendations for preventive health services and routine HIV care for HIV-positive women, limited data are available regarding uptake of recommendations. METHODS: We used data from the 2013-2014 data cycles of the Medical Monitoring Project. We calculated weighted estimates and used multivariable logistic regression with adjusted prevalence ratios and 95% confidence intervals to examine associations between preventive health screenings, routine HIV care [based on viral load (VL) and CD4 measures as proxies], and sociodemographic factors. RESULTS: Of 2766 women, 47.7% were 50 years and older, 61.7% non-Hispanic black, 37.2% had >high school education, 63.3% had been living with HIV for ≥10 years, 68.4% were living ≤the federal poverty level, 67.3% had public health insurance, 93.8% were prescribed antiretroviral therapy, and 66.1% had sustained/durable suppression (12 months). For women aged 18 years and older, cervical cancer, breast cancer, and sexually transmitted infection screenings were documented for 44.3%, 27.6%, and 34.7%, respectively; 26% did not meet 6-month, and 37% did not meet 12-month, VL and CD4 test measure goals. In multivariable analyses, women with no VLs in the past 6 months were less likely to be durably suppressed, and women who did not have ≥3 CD4 or VL tests (past 12 months) were less likely to be living above the poverty level and more likely to have public insurance compared with private health insurance (P < 0.05). CONCLUSION: Receipt of recommended preventive care was suboptimal. Targeted interventions are warranted to help ensure access to comprehensive HIV care and prevention services for women.

Diabetes retinopathy and related health management in Asians versus whites using BRFSS 2005-2017 data.

PURPOSE: Asian Americans had high rate of type 2 diabetes and less risk for diabetes complications compared to white. The purpose of this study was to examine diabetic retinopathy and related healthcare management among Asian American adults with diabetes. MATERIALS AND METHOD: Asian and white type 2 diabetes participants from 2005-2017 Behavioral Risk Factor Surveillance System (BRFSS) data were used to perform the analysis. SAS 9.4 survey procedures were used to conduct the statistical test. Health care management variables (self-blood sugar check, eye check and HbA1C check with doctors, health care professional visit) were analyzed and compared between Asian and white. RESULTS: During 2005-2017, diabetic retinopathy (DR) rate among Asian Americans was 10% higher than white, and Asian Americans was more than 100% more likely to develop DR compared to white. Asian Americans was less likely to check their blood sugar once a day (P<0.05 for all years except 2005 and 2007) and more likely to see the health care professional and perform eye and HbA1C check even the relationship was not statistically significant. After adjusting all the demo-social factors and health care management factors, Asian still had higher rate of DR compared to white. CONCLUSION: Asian Americans had higher rate of DR rate compared to white. Asian and white all had low rate of selfcare of blood sugar. Interventions for DR need to apply among Asian population.

Differences in Characteristics and Clinical Outcomes Among Hispanic/Latino Men and Women Receiving HIV Medical Care - United States, 2013-2014.

The prevalence of diagnosed human immunodeficiency virus (HIV) infection among Hispanics/Latinos in the United States is approximately twice that of non-Hispanic whites (1). Barriers to, and experiences with, medical care have been found to vary by sex (2). Describing characteristics of Hispanics/Latinos in care by sex can help identify disparities and inform delivery of tailored services to this underserved population. Data from the 2013 and 2014 cycles of the Medical Monitoring Project (MMP) were analyzed to describe demographic, behavioral, and clinical characteristics among Hispanics/Latinos by sex. MMP is an annual cross-sectional, nationally representative surveillance system that, during 2013-2014, collected information about behaviors, medical care, and clinical outcomes among adults receiving outpatient HIV care. Hispanic/Latina women were significantly more likely than were men to live in poverty (78% versus 54%), report not speaking English well (38% versus 21%), and receive interpreter (27% versus 16%), transportation (35% versus 21%), and meal (44% versus 26%) services. There were no significant differences between Hispanic/Latino women and men in prescription of antiretroviral therapy (ART) (95% versus 96%) or sustained viral suppression (68% versus 73%). Although women faced greater socioeconomic and language-related challenges, the clinical outcomes among Hispanic/Latina women were similar to those among men, perhaps reflecting their higher use of ancillary services. Levels of viral suppression for Hispanics/Latinos are lower than those found among non-Hispanic whites (3) and lower than the national prevention goal of at least 80% of persons with diagnosed HIV infection. Providers should be cognizant of the challenges faced by Hispanics/Latinos with HIV infection in care and provide referrals to needed ancillary services.

Contrasting temporal trends in lung cancer incidence by socioeconomic status among women in New South Wales, Australia, 1985-2009.

OBJECTIVE: We examined long-term trends in lung cancer incidence for women by socioeconomic groups in New South Wales (NSW), Australia. METHODS: Data on lung cancer incidence for women were extracted from the NSW Cancer Registry database. We divided the study cohort into five quintiles according to an area-based index of education and occupation (IEO) and calculated annual age-standardised incidence rates by IEO quintile for the period 1985-2009. The age-standardised incidence ratio (SIR) was estimated for IEO quintiles and 5-year period of diagnosis using the highest IEO quintile as the reference. RESULTS: Overall, lung cancer incidence for women aged 25-69 years increased gradually from 19.8 per 100,000 in 1985 to 25.7 per 100,000 in 2009. The trends by IEO quintile were somewhat comparable from 1985 through to 1995, but from then on rates remained relatively stable for women residing in the highest quintile while increasing for women residing in the remaining four quintiles. Consequently, the SIR for all four of the lower IEO quintiles increased significantly over the 25-year period. For example, the SIR in the lowest IEO quintile increased from 1.16 (95% CI, 0.99-1.37) during 1985-1989 to 1.70 (95% CI, 1.50-1.93) during 2005-2009. The corresponding estimates for women aged 70 years or older showed no clear pattern of socioeconomic gradient. CONCLUSION: The increasing gap in lung cancer incidence between women in the highest socioeconomic group and all others suggests that there is a continued need for the broad implementation of tobacco control interventions, so that smoking prevalence is reduced across all segments of the population and the subsequent benefits are shared more equitably across all demographic groups.

Phase of care prevalence for prostate cancer in New South Wales, Australia: A population-based modelling study.

OBJECTIVE: To develop a method for estimating the future numbers of prostate cancer survivors requiring different levels of care. DESIGN, SETTING AND PARTICIPANTS: Analysis of population-based cancer registry data for prostate cancer cases (aged 18-84 years) diagnosed in 1996-2007, and a linked dataset with hospital admission data for men with prostate cancer diagnosed during 2005-2007 in New South Wales (NSW), Australia. METHODS: Cancer registry data (1996-2007) were used to project complete prostate cancer prevalence in NSW, Australia for 2008-2017, and treatment information from hospital records (2005-2007) was used to estimate the inpatient care needs during the first year after diagnosis. The projected complete prevalence was divided into care needs-based groups. We first divided the cohort into two groups based on patient's age (<75 and 75-84 years). The younger cohort was further divided into initial care and monitoring phases. Cause of death data were used as a proxy for patients requiring last year of life prostate cancer care. Finally, episode data were used to estimate the future number of cases with metastatic progression. RESULTS: Of the estimated total of 60,910 men with a previous diagnosis of prostate cancer in 2017, the largest groups will be older patients (52.0%) and younger men who require monitoring (42.5%). If current treatment patterns continue, in the first year post-diagnosis 41% (1380) of patients (<75 years) will have a radical prostatectomy, and 52.6% (1752) will be likely to have either active surveillance, external beam radiotherapy or androgen deprivation therapy. About 3% will require care for subsequent metastases, and 1288 men with prostate cancer are likely to die from the disease in 2017. CONCLUSIONS: This method extends the application of routinely collected population-based data, and can contribute much to the knowledge of the number of men with prostate cancer and their health care requirements. This could be of significant use in planning future cancer care services and facilities in Australia.

Temporal trends show improved breast cancer survival in Australia but widening urban-rural differences.

We examined geographic patterns in breast cancer survival over time using population-based data for breast cancer diagnosed between 1987 and 2007 in New South Wales, Australia. We found that five-year relative survival increased during the entire study period. Multivariable analysis indicated that there was little geographic variation in 1992-1996, but in 1997-2001 and 2002-2007 geographic variation was statistically significant (P < 0.01), with women living in rural areas having higher risk of death from breast cancer. The underlying reasons for this widening survival disparity must be identified so that appropriately targeted interventions can be implemented and the disparity reduced.

A population-based study of breast cancer prevalence in Australia: predicting the future health care needs of women living with breast cancer.

BACKGROUND: Breast cancer places a heavy burden on the Australian healthcare system, but information about the actual number of women living with breast cancer and their current or future health service needs is limited. We used existing population-based data and innovative statistical methods to address this critical research question in a well-defined geographic region. METHODS: Breast cancer data from the New South Wales (NSW) Central Cancer Registry and PIAMOD (Prevalence and Incidence Analysis MODel) software were used to project future breast cancer prevalence in NSW. Parametric models were fitted to incidence and survival data, and the modelled incidence and survival estimates were then used to estimate current and future prevalence. To estimate future healthcare requirements the projected prevalence was then divided into phases of care according to the different stages of the survivorship trajectory. RESULTS: The number of women in NSW living with a breast cancer diagnosis had increased from 19,305 in 1990 to 48,754 in 2007. This number is projected to increase further to 68,620 by 2017. The majority of these breast cancer survivors will require continued monitoring (31,974) or will be long-term survivors (29,785). About 9% will require active treatment (either initial therapy, or treatment for subsequent metastases or second cancer) and 1% will need end of life care due to breast cancer. CONCLUSIONS: Extrapolating these projections to the national Australian population would equate to 209,200 women living with breast cancer in Australia in 2017, many of whom will require active treatment or post-treatment monitoring. Thus, careful planning and development of a healthcare system able to respond to this increased demand is required.