Do traditional economic theories of free riding behavior explain spatial clustering of HPV vaccine uptake?

RATIONALE: Geographic clusters of low vaccination uptake reduce the population-level efficacy of vaccination programs. However, little is known about the mechanisms that drive geographic patterns in vaccination rates. Traditional economic theory considers vaccination as a classic public good and suggests that free riding-individuals taking advantage of public goods by relying on others' immunization behavior without contributing toward them-is a primary cause of low vaccination rates. However, behavioral economics suggests that free riding does not fully explain observed individual behavior, and the presence of both high and low clusters of vaccination rates suggest that this theory alone does not fully explain geographic patterns of vaccination. OBJECTIVE: We assessed geographic clustering of HPV vaccination uptake and examined the evidence for or against free riding in HPV vaccination decisions. METHODS: We analyzed HPV vaccination decisions of low-income adolescent females (N = 601) residing in urban neighborhoods in Dallas, Texas, USA during 2011-2012. Spatial econometric models were estimated to assess the relationship between neighborhood vaccination rates and individual vaccination decisions. RESULTS: We found a positive and significant relationship between individual HPV vaccination choices and the average neighborhood vaccination rate at the time parents were making vaccine decisions for their adolescent daughters while controlling for neighborhood sorting and other confounders. CONCLUSION: Individuals were more likely to complete the HPV vaccination series when others in their neighborhood had already completed the series. We do not find evidence for free riding in HPV vaccination decisions.

Evaluation of a Tennessee statewide initiative to reduce early elective deliveries using quasi-experimental methods.

BACKGROUND: Concerted quality improvement (QI) efforts have been taken to discourage the practice of early elective deliveries (EEDs), but few studies have robustly examined the impact of directed QI interventions in reducing EED practices. Using quasi-experimental methods, we sought to evaluate the impact of a statewide QI intervention to reduce the practice of EEDs. METHODS: Retrospective cohort study of vital records data (2007 to 2013) for all singleton births occurring ≥36 weeks in 66 Tennessee hospitals grouped into three QI cohorts. We used interrupted-time series to estimate the effect of the QI intervention on the likelihood of an EED birth statewide, and by hospital cohort. We compared the distribution of hospital EED percentages pre- and post-intervention. Lastly, we used multivariable logistic regression to estimate the effect of QI interventions on maternal and infant outcomes. RESULTS: Implementation of the QI intervention was associated with significant declines in likelihood of EEDs immediately following the intervention (odds ratio, OR = 0.72; p < 0.001), but these results varied by hospital cohort. Hospital risk-adjusted EED percentages ranged from 1.6-13.6% in the pre-intervention period, which significantly declined to 2.2-9.6% in the post-intervention period (p < 0.001). The QI intervention was also associated with significant reductions in operative vaginal delivery and perineal laceration, and immediate infant ventilation, but increased NICU admissions. CONCLUSIONS: A statewide QI intervention to reduce EEDs was associated with modest but significant declines in EEDs beyond concurrent and national trends, and showed mixed results in related infant and maternal outcomes.

Three years in - changing plan features in the U.S. health insurance marketplace.

BACKGROUND: A central objective of recent U.S. healthcare policy reform, most notably the Affordable Care Act's (ACA) Health Insurance Marketplace, has been to increase access to stable, affordable health insurance. However, changing market dynamics (rising premiums, changes in issuer participation and plan availability) raise significant concerns about the marketplaces' ability to provide a stable source of healthcare for Americans that rely on them. By looking at the effect of instability on changes in the consumer choice set, we can analyze potential incentives to switch plans among price-sensitive enrollees, which can then be used to inform policy going forward. METHODS: Data on health plan features for non-tobacco users in 2512 counties in 34 states participating in federally-facilitated exchanges from 2014 to 2016 was obtained from the Centers for Medicaid & Medicare Services. We examined how changes in individual plan features, including premiums, deductibles, issuers, and plan types, impact consumers who had purchased the lowest-cost silver or bronze plan in their county the previous year. We calculated the cost of staying in the same plan versus switching to another plan the following year, and analyzed how costs vary across geographic regions. RESULTS: In most counties in 2015 and 2016 (53.7 and 68.2%, respectively), the lowest-cost silver plan from the previous year was still available, but was no longer the cheapest plan. In these counties, consumers who switched to the new lowest-cost plan would pay less in monthly premiums on average, by $51.48 and $55.01, respectively, compared to staying in the same plan. Despite potential premium savings from switching, however, the majority would still pay higher average premiums compared to the previous year, and most would face higher deductibles and an increased probability of having to change provider networks. CONCLUSION: While the ACA has shown promise in expanding healthcare access, continued changes in the availability and affordability of health plans are likely to result in churning and switching among enrollees, which may have negative ramifications for their health going forward. Future healthcare policy reform should aim to stabilize marketplace dynamics in order to encourage greater care continuity and limit churning.

Use of a web-based app to improve postoperative outcomes for patients receiving gynecological oncology care: A randomized controlled feasibility trial.

OBJECTIVE: Nearly 1 in 5 patients hospitalized for ovarian cancer surgery are readmitted for complications that may have been prevented with monitoring. We conducted a randomized controlled feasibility trial to evaluate a postoperative web-based app intervention to provide real-time symptom monitoring among patients diagnosed or with suspected gynecological cancer who had open bilateral salpingo-oophorectomy surgery. METHODS: Participants were randomized into two groups: (1) App + Reminder: had access to the app, and use was encouraged with daily and/or weekly reminders; (2) app: had access to the app but received no reminders. The app displayed discharge instructions and queried symptoms. Patients' self-reported health information was integrated into their electronic health records. Outcomes above a predetermined threshold triggered alerts that indicated a patient may need medical intervention. Participants completed a questionnaire at baseline and 30-day follow-up. They were also invited to provide qualitative, post-intervention feedback. RESULTS: We screened 35 patients, with high rates of recruitment (74%, N = 26) and completion (93%, N = 24). Participants in the App + Reminder group had more frequent app use relative to the app group (p = 0.05). Using differences-in-differences (DID) analysis for quality of life, the App + Reminder group had relative increase in the mental health score (DID = 7.51, p = 0.15) but decrease in the physical health score (DID = -7.49, p = 0.13). Participant feedback suggested the relative decrease in physical quality of life was attributable to the app activating patients' focus on physical symptoms, not the intervention. CONCLUSION: The pilot established feasibility, acceptability, and some potential benefits of a new web-based app intervention for gynecological oncology postoperative care.

Use of a web-based app to improve breast cancer symptom management and adherence for aromatase inhibitors: a randomized controlled feasibility trial.

PURPOSE: For postmenopausal women with hormone receptor-positive breast cancer, long-term use of aromatase inhibitors (AIs) significantly reduces the risk of cancer recurrence and improves survival. Still, many patients are nonadherent due to adverse side effects. We conducted a pilot randomized controlled trial to test the use of a web-based application (app) designed with and without weekly reminders for patients to report real-time symptoms and AI use outside of clinic visits with built-in alerts to patients' oncology providers. Our goal was to improve symptom burden and medication adherence. METHODS: Forty-four women with early-stage breast cancer and a new AI prescription were randomized to either an App+Reminder (weekly reminders to use app) or an App (no reminders) group. Pre- and post-assessment data were collected from all participants. RESULTS: Participants in the App+Reminder group had higher weekly app usage rate (74 vs. 38%, p < 0.05) during the intervention and reported higher AI adherence at 8 weeks (100 vs. 72%, p < 0.05). Symptom burden increase was higher for the App group compared to the App+Reminder group but did not reach statistical significance. CONCLUSIONS: Weekly reminders to use a web-based app to report AI adherence and treatment-related symptoms demonstrated feasibility and improved short-term AI adherence, which may reduce symptom burden for women with breast cancer and a new AI prescription. IMPLICATIONS FOR CANCER SURVIVORS: If short-term gains in adherence persist, this low-cost intervention could improve survival outcomes for women with breast cancer. A larger, long-term study should examine if AI adherence and symptom burden improvements persist for a 5-year treatment period.

Lessons Learned From the Affordable Care Act: The Premium Subsidy Design May Promote Adverse Selection.

Since 2014, average premiums for health plans available in the Affordable Care Act marketplaces have increased. We examine how premium price changes affected the amount consumers pay after subsidies for the lowest-cost bronze and silver plans available by age in the federally facilitated exchanges. Between 2015 and 2016, benchmark plan premiums increased in 83.3% of counties. Overall, rising benchmark premiums were associated with lower average after-subsidy premiums for the lowest-cost bronze and silver plans for older subsidy-eligible adults, but with higher after-subsidy premiums for younger adults purchasing the same plans, regardless of income. With recent discussions to replace or overhaul the Affordable Care Act, it is critical that we learn from the successes and failures of the current policy. Our findings suggest that the subsidy design, which makes rising premiums costlier for younger adults looking to purchase an entry-level plan, may be contributing to adverse selection and instability in the marketplace.