Quantifying Downstream Healthcare Utilization in Studies of Genomic Testing.

OBJECTIVES: The challenges of understanding how interventions influence follow-up medical care are magnified during genomic testing because few patients have received it to date and because the scope of information it provides is complex and often unexpected. We tested a novel strategy for quantifying downstream healthcare utilization after genomic testing to more comprehensively and efficiently identify related services. We also evaluated the effectiveness of different methods for collecting these data. METHODS: We developed a risk-based approach for a trial of newborn genomic sequencing in which we defined primary conditions based on existing diagnoses and family histories of disease and defined secondary conditions based on unexpected findings. We then created patient-specific lists of services associated with managing primary and secondary conditions. Services were quantified based on medical record reviews, surveys, and telephone check-ins with parents. RESULTS: By focusing on services that genomic testing would most likely influence in the short-term, we reduced the number of services in our analyses by more than 90% compared with analyses of all observed services. We also identified the same services that were ordered in response to unexpected findings as were identified during expert review and by confirming whether recommendations were completed. Data also showed that quantifying healthcare utilization with surveys and telephone check-ins alone would have missed the majority of attributable services. CONCLUSIONS: Our risk-based strategy provides an improved approach for assessing the short-term impact of genomic testing and other interventions on healthcare utilization while conforming as much as possible to existing best-practice recommendations.

The impact of substance use on health care utilization, treatment, and outcomes in patients with non-small cell lung cancer.

Background: Mortality from non-small cell lung cancer (NSCLC) has improved with screening and novel treatments. The substance use epidemic has threatened health outcomes in a variety of diseases, but little is known about how it is associated with NSCLC outcomes. Methods: We performed a retrospective cohort study of 211 patients with NSCLC treated at a safety-net hospital. Sociodemographic data and clinical outcomes were extracted via review of electronic medical records. Patients were stratified based on substance use status. Comparative and multivariable analyses were performed to evaluate baseline characteristics and lung cancer outcomes including survival. Results: Among 193 patients (91.5%) with information available on substance use, 24.9% reported substance use; specifically, alcohol, marijuana, and illicit substances. Patients with substance use were more likely to have increased health care utilization and poor social determinants of health, including safe housing, stable employment, and social support. There were no significant differences in treatment adherence. Only 6.3% of patients with substance use did not receive guideline concordant care (GCC) compared to 24.8% of patients without substance use; due to poor performance status, increased comorbidities, or loss to follow up. On univariable analysis, patients with substance use experienced inferior median overall survival (OS) if they had metastatic disease (0.40 vs. 1.03 years, P=0.01). However, in the multivariable analysis, substance use did not predict for survival. Independent predictors of mortality were sex (male HR, 1.67; 95% CI: 1.04-2.68; P=0.04), smoking status (current smoking HR, 2.63; 95% CI: 1.14-6.08; P=0.02), and stage (stage IV HR, 14.96; 95% CI: 6.28-35.63; P=0.008). Conclusions: Substance use is associated with poor social determinants of health and increased health care utilization. On multivariable analysis, substance use was not independently associated with OS once guideline-concordant care was used. Future studies should focus on improving our understanding of these associations, delineating potential mechanisms, and developing evidence-based strategies to reduce health care utilization and overcome challenges related to poor social determinants of health.