Initiation of Trastuzumab by Women Younger Than 64 Years for Adjuvant Treatment of Stage I-III Breast Cancer

Social, political, and economic determinants of access to biologics: A scoping review of structural determinants in the clinical disparities literature

BACKGROUND

The number of biologics among new medication approvals is increasing. Social, political, and economic factors influence access to these expensive medications. Disparities in access to new medications can exacerbate health disparities. The notion of "structural determinants" provides a theoretical framework for broadly evaluating the integration of upstream social, political, and economic determinants in the clinical study of access.

OBJECTIVE

To review the literature on access to FDA approved biologic medications with particular focus on the integration of social, political, and economic determinants into study design and interpretation.

METHODS

We used PRISMA guidelines to review studies on racial and socioeconomic disparities in biologic access through August 2020. We assessed whether the design or interpretation of studies considered key economic determinants of access: the biologics supply chain, trade agreements, patents, drug research and development, insurance reimbursement, and non-insurance drug policies.

RESULTS

100 studies met our inclusion criteria. Sixty-six studies considered insurance reimbursement, but trade law, patents, and other key economic determinants were rarely considered. The literature focuses on a small number of older biologics.

CONCLUSIONS

A small number of studies model the integration of structural determinants into clinical research on access to biologics, but overall this literature has many limitations and lacks integration of structural determinants. Increased interdisciplinary collaboration, availability of manufacturer data, and use of disease registries can help create structurally grounded understandings of the relationship between the political economy of expensive medications and clinical disparities.

Are there socio-economic inequalities in utilization of predictive biomarker tests and biological and precision therapies for cancer? A systematic review and meta-analysis

BACKGROUND

Novel biological and precision therapies and their associated predictive biomarker tests offer opportunities for increased tumor response, reduced adverse effects, and improved survival. This systematic review determined if there are socio-economic inequalities in utilization of predictive biomarker tests and/or biological and precision cancer therapies.

METHODS

MEDLINE, Embase, Scopus, CINAHL, Web of Science, PubMed, and PsycINFO were searched for peer-reviewed studies, published in English between January 1998 and December 2019. Observational studies reporting utilization data for predictive biomarker tests and/or cancer biological and precision therapies by a measure of socio-economic status (SES) were eligible. Data was extracted from eligible studies. A modified ISPOR checklist for retrospective database studies was used to assess study quality. Meta-analyses were undertaken using a random-effects model, with sub-group analyses by cancer site and drug class. Unadjusted odds ratios (ORs) and 95% confidence intervals (CIs) were computed for each study. Pooled utilization ORs for low versus high socio-economic groups were calculated for test and therapy receipt.

RESULTS

Among 10,722 citations screened, 62 papers (58 studies; 8 test utilization studies, 37 therapy utilization studies, 3 studies on testing and therapy, 10 studies without denominator populations or which only reported mean socio-economic status) met the inclusion criteria. Studies reported on 7 cancers, 5 predictive biomarkers tests, and 11 biological and precision therapies. Thirty-eight studies (including 1,036,125 patients) were eligible for inclusion in meta-analyses. Low socio-economic status was associated with modestly lower predictive biomarker test utilization (OR 0.86, 95% CI 0.71-1.05; 10 studies) and significantly lower biological and precision therapy utilization (OR 0.83, 95% CI 0.75-0.91; 30 studies). Associations with therapy utilization were stronger in lung cancer (OR 0.71, 95% CI 0.51-1.00; 6 studies), than breast cancer (OR 0.93, 95% CI 0.78-1.10; 8 studies). The mean study quality score was 6.9/10.

CONCLUSIONS

These novel results indicate that there are socio-economic inequalities in predictive biomarker tests and biological and precision therapy utilization. This requires further investigation to prevent differences in outcomes due to inequalities in treatment with biological and precision therapies.

Wage losses among spouses of women with nonmetastatic breast cancer

BACKGROUND

The aim of this study was to evaluate the wage losses incurred by spouses of women with nonmetastatic breast cancer in the 6 months after the diagnosis.

METHODS

A prospective cohort study of spouses of women diagnosed with nonmetastatic breast cancer who were recruited in 8 hospitals in the province of Quebec (Canada) was performed. Information for estimating wage losses was collected by telephone interviews conducted 1 and 6 months after the diagnosis. Log-binomial regressions were used to identify personal, medical, and employment characteristics associated with experiencing wage losses, and generalized linear models were used to identify characteristics associated with the proportion of usual wages lost.

RESULTS

Overall, 829 women (86% participation) and 406 spouses (75% participation) consented to participate. Among the 279 employed spouses, 78.5% experienced work absences because of breast cancer. Spouses were compensated for 66.3% of their salary on average during their absence. The median wage loss was $0 (mean, $1820) (2003 Canadian dollars). Spouses were more likely to experience losses if they were self-employed or lived 50 km or farther from the hospital. Among spouses who experienced wage losses, those who were self-employed or whose partners had invasive breast cancer lost a higher proportion of wages.

CONCLUSIONS

Although spouses took some time off work, for many, the resulting wage losses were modest because of compensation received. Still, the types of compensation used may hide other forms of burden for families facing breast cancer.

Treatment and Survival Disparities in the National Cancer Institute's Patterns of Care Study (1987-2017)

BACKGROUND

Cancer health services research is a primary tool for analyzing the association between various factors, cancer health care delivery, and the resultant outcomes. To address disparities strategies must be developed to target factors that are related to differences in care; however, to date, most disparities studies have been descriptive. The primary objective was to describe cancer treatment and survival disparities in community oncology practice patterns found in the National Cancer Institute's population-based Patterns of Care (POC) Study (1987-2017). Secondarily, we compared POC findings to peer-reviewed literature. In POC data, older age was consistently associated with decreased odds of treatment and increased mortality. Interestingly, in contrast to current literature, few POC studies found race/ethnicity significantly predicted disparities. Cancer health disparities are complex; they are multifactorial, differ by cancer site and may wax and wane. The complexity supports the need for deeper understanding and targeted interventions to ensure equitable cancer care and outcomes.

Trastuzumab uptake in HER2-positive breast cancer patients: a systematic review and meta-analysis of observational studies

Overexpression of the HER2 gene is predictive of treatment benefit with trastuzumab therapy for breast cancer (BC) patients. The study objective was to investigate whether all eligible patients with HER2-positive BC initiated trastuzumab therapy. A systematic search was conducted through PubMed, Web of Science PsycINFO, Cumulative Index to Nursing and Allied Health Literature (CINAHL) and Cochrane Library. From 2651 studies identified, 107 observational studies were included for full text review, of which 26 met the inclusion criteria and an additional 7 studies were identified through citation searching. Two independent reviewers extracted data for accuracy and completeness. From 33 observational studies, 14,644 patients were exposed to trastuzumab therapy. Age range varied across studies; the youngest cohort had a median age of 50 and the oldest had a median age of 84. Sample sizes ranged from 11 to 1928 and included patients from 10 countries. Studies were heterogenous and few studies accounted for confounders. We identified large variability in uptake of trastuzumab in HER2-positive early BC patients (9.1-100%) and metastatic BC patients (50.8-84.0%). The pooled uptake was 71.3% (95% CI 64.6-77.9%), with high heterogeneity (I² = 99.05%). The most conservative predictors of higher uptake included younger age (OR 2.09; 95% CI 1.36-3.20) and lower Charlson Comorbidity Index of patients (OR 1.62; 95% CI 1.32-1.99). In addition, tumour characteristics including higher tumour grade (OR 1.73; 95% CI 1.23-2.45), larger tumour size (OR 1.80; 95% CI 1.54-2.10), advanced tumour stage (OR 2.07; 95% CI 1.44-2.96) and hormone receptor negative tumor (OR 1.54; 95% CI 1.35-1.77) were associated with higher uptake. The uptake of trastuzumab therapy varied widely between studies and across subgroups suggesting that there may be some inequalities in the use of this agent. However, our findings should be interpreted with caution due to study heterogeneity and potential confounding, and thus additional studies of individual level data which control for confounders are needed to understand more about inequalities in uptake.