Association Between Insurance Type and Fluoride Varnish Application During Well-Child Visits in Massachusetts

OBJECTIVE

To compare rates of fluoride varnish (FV) applications during well-child visits for children covered by Medicaid and private medical insurance in Massachusetts.

METHODS

This cross-sectional study analyzed well-child visits for children aged 1 to 5 years paid by Medicaid and private insurance during 2016.Çô18 in Massachusetts. Multivariate regression models, with all covariates interacting with insurance type, were used to calculate odds ratios and adjusted predicted probabilities of fluoride varnish during well-child visits by calendar year and age.

RESULTS

Across 957,551 well-child visits, 40.0% were paid by private insurers. Unadjusted rates of fluoride varnish were significantly lower among well-child visits paid by private insurers (6.6%) than visits paid by Medicaid (14.2%). In the fully interacted regression model, the odds of a visit including fluoride varnish were significantly lower for older children than for children aged 1 for visits paid by both insurance types. Adjusted rates of fluoride varnish increased significantly from 2016 to 2018 for both insurance types. Moreover, rates were higher among visits for children covered under Medicaid than privately insured children in all years, and the differences by insurance type declined over time (2016: 8.0% points, 95% confidence interval.á=.á.êÆ8.7 to .êÆ7.3, 2018: 5.3% points, 95% confidence interval.á=.á.êÆ6.6 to .êÆ3.9).

CONCLUSIONS

Rates of fluoride varnish applications during well-child visits were low for both Medicaid and private insurance despite growth from 2016 to 2018 in Massachusetts. Low rates are concerning because this is a recommended service with the potential to help address racial, geographic, and income-based disparities in access and oral health outcomes.

Pediatric oral health services in Medicaid managed care and fee for service

OBJECTIVES

In 2008, Florida's Medicaid program began reimbursing medical providers for preventive oral health services (POHS) delivered to children aged 6 months to 42 months. We examine whether Medicaid comprehensive managed care (CMC) and fee for service (FFS) had different rates of POHS during pediatric medical visits.

STUDY DESIGN

Observational study using claims data (2009-2012).

METHODS

Using repeated cross-sections of 2009-2012 Florida Medicaid data for children 3.5 years or younger, we examined pediatric medical visits. We estimated a weighted logistic regression model to compare POHS rates among visits reimbursed by CMC and FFS Medicaid. The model controlled for FFS (vs CMC), years Florida had a policy allowing POHS in medical settings, an interaction between these 2 variables, and additional child- and county-level characteristics. Results are presented as regression-adjusted predictions.

RESULTS

Among 1,765,365 weighted well-child medical visits in Florida, POHS were included in 8.33% of CMC-reimbursed visits and 9.67% of FFS-reimbursed visits. Compared with FFS, CMC-reimbursed visits had a nonsignificant 1.29-percentage-point lower adjusted probability of including POHS (P = .25). When examining differences over time, although the POHS rate was 2.72 percentage points lower for CMC-reimbursed visits after 3 years of policy enactment (P = .03), rates were similar overall and increased over time.

CONCLUSIONS

POHS rates among pediatric medical visits in Florida were similar for visits paid via FFS and CMC, with low rates that increased modestly over time. Our findings are important because more children continue to be enrolled in Medicaid CMC.

The Impact of Nurse Practitioner-Led Primary Care on Quality and Cost for Medicaid-Enrolled Patients in States With Pay Parity

Studies have established that nurse practitioners (NPs) deliver primary care comparable to physicians in quality and cost, but most focus on Medicare, a program that reimburses NPs less than physicians. In this retrospective cohort study, we evaluated the quality and cost implications of receiving primary care from NPs compared to physicians in 14 states that reimburse NPs at the Medicaid fee-for-service (FFS) physician rate (i.e., pay parity). We linked national provider and practice data with Medicaid data for adults with diabetes and children with asthma (2012-2013). We attributed patients to primary care NPs and physicians based on 2012 evaluation & management claims. Using 2013 data, we constructed claims-based primary care quality measures and condition-specific costs of care for FFS enrollees. We estimated the effect of NP-led care on quality and costs using: (1) weighting to balance observable confounders and (2) an instrumental variable (IV) analysis using differential distance from patients' residences to primary care practices. Adults with diabetes received comparable quality of care from NPs and physicians at similar cost. Weighted results showed no differences between NP- and physician-attributed patients in receipt of recommended care or diabetes-related hospitalizations. For children with asthma, costs of NP-led care were lower but quality findings were mixed: NP-led care was associated with lower use of appropriate medications and higher rates of asthma-related emergency department visits but similar rates of asthma-related hospitalization. IV analyses revealed no evidence of differences in quality between NP- and physician-led care. Our findings suggest that in states with Medicaid pay parity, NP-led care is comparable to physician-led care for adults with diabetes, while associations between NP-led care and quality were mixed for children with asthma. Increased use of NP-led primary care may be cost-neutral or cost-saving, even under pay parity.

Improving Diet Quality in U.S. Adults: A 30-Year Health and Economic Impact Microsimulation

INTRODUCTION

Epidemiologic studies relating health outcomes to dietary patterns captured by diet quality indices have shown better quality scores associated with lower mortality and chronic disease incidence. However, changing chronic disease risk factors only alters population health over time, and initial diet quality systematically varies across the population by sociodemographic status. This study uses microsimulation to examine 30-year impacts of improved diet quality by sociodemographic group.

METHODS

Diet quality across 12 sex-, race/ethnicity-, and education-defined subgroups was estimated from the 2011-2012 National Health and Nutrition Examination Survey. In 2021, the Future Adults (dynamic microsimulation) Model was used to simulate population health and economic outcomes over 30 years for these subgroups and all adults. The modeled pathway was through lowering risk for heart disease by following U.S. Dietary Guidelines.

RESULTS

Diet quality varied across the sociodemographic subgroups, and half of U.S. adults had diet quality that would be classified as poor. Improving U.S. diet quality to that reported for the top 20% in 2 large health professionals' samples could reduce incidence of heart disease by 9.9% (7.6%-13.8% across the 12 sociodemographic groups) after 30 years. Year 30 would also have 37,000 fewer deaths, 694,000 more quality-adjusted life years, and healthcare cost savings of $59.6 billion (2019 U.S. dollars).

CONCLUSIONS

Dynamic microsimulation enables predictions of socially important outcomes of prevention efforts, most of which are many years in the future and beyond the scope of trials. This paper estimates the 30-year population health and economic impact of poor diet quality by sociodemographic group.

Depressive Symptoms among US Adults during the Great Recession and Economic Recovery

BACKGROUND AND AIMS

We study the trajectory of depressive symptoms among US adults before, during, and after the 2008/2009 Great Recession.

METHODS

We use repeated cross-sectional surveys of the National Health and Nutrition Examination Survey (NHANES) between 2005 and 2018. Mental health is assessed with the Patient Health Questionnaire-9 (PHQ-9), with the following categorization for depressive symptoms: none or mild (score 0-9), moderate or severe (score 10-27). A parallel time series was calculated from the Behavioral Risk Factor Surveillance System (BRFSS) on self-reported number of days with poor mental health.

RESULTS

NHANES data show a statistically significant increase in depressive symptoms from 2005/2006 to 2007/2008 (the beginning of the Great Recession), but there were no significant or consistent changes after 2007/2008. In particular, the deterioration in the adjusted predicted PHQ-9 scores occurred prior to the large increase in unemployment rate (2009/2010). As the macroeconomic situations improved and unemployment rates recovered, mental health did not return to the previous level. In the latest wave of NHANES (2017/2018), unemployment rates were at the lowest level over the analysis period; however, the adjusted predicted PHQ-9 scores were higher than that at the beginning of the Great Recession. Trends of PHQ-9 scores were similar across income groups - all groups had an increase in depressive symptoms after 2005/2006 and PHQ-9 scores were still high in 2017/2018 after controlling for sociodemographic status. Group with the lowest income had higher levels of depressive symptoms at every time point. BRFSS data shows no consistent changes in the number of days with poor mental health that parallel economic conditions.

DISCUSSION

Depressive symptoms at the population level did not match the economic cycle before, during and after the Great Recession. Future research is needed to better understand the lack of correlation between population mental health and macroeconomic conditions.

Diet quality in the US improved during the Great Recession and deteriorated during economic recovery

BACKGROUND

Macroeconomic changes are associated with population health outcomes, such as mortality, accidents, and alcohol use. Diet quality is a risk or protective factor that could be influenced by economic conditions.

OBJECTIVE

This study examined the trajectory of diet quality measured by the Healthy ] before, during, and after the 2008/2009 Great Recession.

DESIGN

Repeated cross-sectional survey data from the National Health and Nutrition Examination Survey (NHANES) were analyzed.

PARTICIPANTS/SETTING

The analytic sample included 48,679 adults who completed at least one dietary recall from NHANES 1999-2018.

MAIN OUTCOME MEASURES

Diet quality was assessed with a 24-hour dietary recall to calculate the Healthy Eating Index (HEI)-2015 total scores, a measure of the conformance with the 2015-2020 Dietary Guidelines for Americans.

STATISTICAL ANALYSES PERFORMED

Least squares regression was used to adjust for demographic changes across waves.

RESULTS

Diet quality improved noticeably during the Great Recession and deteriorated as economic conditions improved.

CONCLUSIONS

Deteriorating economic circumstances may constrain choices, but that does not necessarily imply a worsening of dietary quality. During the Great Recession, American diets became more consistent with Dietary Guidelines for Americans recommendations, possibly because of a shift towards food prepared at home instead of prepared food bought away from home.

Do patients bypass primary care for common health problems under a free-access system? Experience of Taiwan

Background

A common challenge for free-access systems is that people may bypass primary care and seek secondary care through self-referral. Taiwan’s government has undertaken various initiatives to mitigate bypass; however, little is known about whether the bypass trend has decreased over time. This study examined the extent to which patients bypass primary care for treatment of common diseases and factors associated with bypass under Taiwan’s free-access system.

Methods

This repeated cross-sectional study analyzed data from Taiwan’s National Health Insurance Research Database. A random sample of 1 million enrollees was drawn repeatedly from the insured population during 2000–2017. To capture visits beyond the community level, the bypass rate was defined as the proportion of self-referred visits to the top two levels of providers, namely academic medical centers and regional hospitals, among all visits to all providers. Subgroup analyses were conducted for visits with a single diagnosis. Logistic regressions were used to investigate factors associated with bypass.

Results

The standardized bypass rate for all diseases analyzed exhibited a decreasing trend. In 2017, it was low for common cold (0.7–1.3%), moderate for hypertension (14.0–29.5%), but still high for diabetes (32.0–47.0%). Moreover, the likelihood of bypass was higher for male, patients with higher salaries or comorbidities, and in areas with more physicians practicing in large hospitals or less physicians working in primary care facilities.

Conclusions

Although the bypass trend has decreased over time, continuing efforts may be required to reduce bypass associated with chronic diseases. Both patient sociodemographic and market characteristics were associated with the likelihood of bypass. These results may help policymakers to develop strategies to mitigate bypass.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-020-05908-w.