Regional factors associated with pneumococcal vaccination coverage among U.S. adults with underlying chronic or immunocompromising conditions

The Centers for Disease Control recommends pneumococcal vaccination for U.S. adults aged 19-64 years with chronic or immunocompromising conditions, however, vaccination coverage is low and regional variations in coverage are rarely studied. This study examined pneumococcal vaccination coverage at the metropolitan statistical area (MSAs) level and identified regional factors associated with pneumococcal vaccination using the combined IBM® Watson Health MarketScan® Commercial and Medicare Supplemental databases. Pneumococcal vaccination coverage, clinical and socioeconomic factors were calculated for each MSA. Ordinary least square and spatial regression models were used to examine factors associated with vaccination. Results indicated that the national pneumococcal vaccination coverage was 13.4% with a large variation across MSAs (0-34%). The spatial error model, model with the best fit, showed that proportions of the population who were ≥50 years of age, received an influenza vaccine, or had health maintenance organization health plans were positively associated with pneumococcal vaccination coverage. In summary, we found that national pneumococcal vaccination coverage was low and there was substantial variation across MSAs. Regional factors identified may help inform interventions to improve pneumococcal vaccination coverage across geographies.

The Impact of the Human Papillomavirus Vaccine on High-Grade Cervical Lesions in Urban and Rural Areas: An Age-Period-Cohort Analysis

Simple Summary

Human papillomavirus (HPV) vaccination disparities between urban and rural regions may moderate the vaccine’s impact on reducing cervical precancer (CIN2+) and cancer incidence. We assessed population-level trends in CIN2+ incidence (2008–2018) in urban and rural areas among Medicaid-enrolled women aged 18–39 years in Tennessee, United States. A sub-group analysis among women screened for cervical cancer was conducted to control for changing screening trends. CIN2+ incidence among young women aged 18–20 and 21–24 years, who most likely benefited from the HPV vaccine, declined similarly between urban and rural areas, although significant declines began earlier in urban versus rural areas. Our results suggest evidence of HPV vaccine impact regardless of urbanicity but demonstrate lagged impact in rural areas. These findings emphasize the importance of reducing barriers to HPV vaccination, particularly in rural areas, to improve the reduction of cervical precancer and cancer incidence, toward the World Health Organization’s goals of eliminating cervical cancer.

Abstract

Disparities in human papillomavirus (HPV) vaccination exist between urban (metropolitan statistical areas (MSAs)) and rural (non-MSAs) regions. To address whether the HPV vaccine’s impact differs by urbanicity, we examined trends in cervical intraepithelial neoplasia grades 2 or 3 and adenocarcinoma in situ (collectively, CIN2+) incidence in MSAs and non-MSAs among Tennessee Medicaid (TennCare)-enrolled women aged 18–39 years and among the subset screened for cervical cancer in Tennessee, United States. Using TennCare claims data, we identified annual age-group-specific (18–20, 21–24, 25–29, 30–34, and 35–39 years) CIN2+ incidence (2008–2018). Joinpoint regression was used to identify trends over time. Age–period–cohort Poisson regression models were used to evaluate age, period, and cohort effects. All analyses were stratified by urbanicity (MSA versus non-MSA). From 2008–2018, 11,243 incident CIN2+ events (7956 in MSAs; 3287 in non-MSAs) were identified among TennCare-enrolled women aged 18–39 years. CIN2+ incident trends (2008–2018) were similar between women in MSAs and non-MSAs, with largest declines among ages 18–20 (MSA average annual percent change (AAPC): −30.4, 95% confidence interval (95%CI): −35.4, −25.0; non-MSA AAPC: −30.9, 95%CI: −36.8, −24.5) and 21–24 years (MSA AAPC: −14.8, 95%CI: −18.1, −11.3; non-MSA AAPC: −15.1, 95%CI: −17.9, −12.2). Significant declines for ages 18–20 years began in 2008 in MSAs compared to 2010 in non-MSAs. Trends were largely driven by age and cohort effects. These patterns were consistent among screened women. Despite evidence of HPV vaccine impact on reducing CIN2+ incidence regardless of urbanicity, significant declines in CIN2+ incidence were delayed in non-MSAs versus MSAs.

Survival After HIV Infection Stage 3 (AIDS) Diagnosis, by Population Density Areas, United States, 2005-2010

OBJECTIVES

We examined the survival rates after diagnosis of HIV infection stage 3 (AIDS) in the United States by population density area of residence at diagnosis.

METHODS

We used data from the National HIV Surveillance System to calculate survival rates among people aged ≥13 with HIV infection stage 3 (AIDS) diagnosed from 2005 through 2010. We determined survival rates for more than 12, 24, and 36 months after diagnosis; overall and by demographic characteristics; and across 3 population density area categories (large metropolitan statistical areas [MSAs, ≥500 000 people], small-to-medium MSAs [50 000 to 499 999 people], and nonmetropolitan areas [<50 000 people]).

RESULTS

The survival rates for more than 12, 24, and 36 months after diagnosis were highest among people residing in large MSAs (90.2%, 87.2%, and 84.9%, respectively) and lowest among people residing in nonmetropolitan areas (87.3%, 84.1%, and 81.4%, respectively). With a few exceptions, survival rates were lower in those residing in nonmetropolitan areas than those residing in large MSAs and small-to-medium MSAs across most subgroups by age at diagnosis, race/ethnicity, sex, transmission category, region of residence, and year of diagnosis. Between 2005 and 2010, significant year-to-year increases occurred in the proportion of people surviving more than 36 months after diagnosis across all 3 population density area categories (estimated annual percentage change: large MSAs [0.88; 95% confidence interval (CI), 0.56-1.20]; small-to-medium MSAs [0.94; 95% CI, 0.06-1.83]; and nonmetropolitan areas [1.26; 95% CI, 0.07-2.46]).

CONCLUSIONS

Although survival rates for those with HIV infection stage 3 (AIDS) improved in all 3 population density area categories, efforts to remove barriers to care and promote treatment adherence in nonmetropolitan areas will be necessary to eliminate survival disparities.

Urologists and the patient centered medical home

PURPOSE

Hopes are high that the delivery system reforms embodied in the patient centered medical home will improve the quality of care for patients with chronic diseases. While primary care physicians, given their training, will likely be the locus of care under this model, there are certain conditions for which urologists are well suited to provide the continuous and comprehensive care called for by the patient centered medical home. To assess the feasibility of the urology based patient centered medical home, we analyzed national survey data.

MATERIALS AND METHODS

For our measure of medical home infrastructure, we mapped items from the 2007 and 2008 NAMCS (National Ambulatory Medical Care Survey) to the NCQA (National Committee on Quality Assurance) standards for patient centered medical home recognition. We determined the proportion of urology practices in the United States that would achieve patient centered medical home recognition. Finally, we used NAMCS data to estimate the impact of consolidating genitourinary cancer (ie prostate, bladder, kidney and testis) followup care among the current supply of urologists.

RESULTS

Nearly three-quarters of urology practices meet NCQA standards for patient centered medical home recognition. At present, primary care physicians spend 9,295 cumulative workweeks providing direct and indirect care to survivors of genitourinary cancers. Off-loading half of this care to urology practices, in the context of the patient centered medical home, would generate an average of 0.73 additional workweeks for each practicing urologist.

CONCLUSIONS

Urology practices may possess the capacity needed to direct medical homes for their patients with genitourinary cancers. Successful implementation of this model would likely require a willingness to manage some nonurological conditions.