Advancing biomedical science through investments in elite training.

How can governments invest in the public good of science in a way that accelerates advancement and encourages innovation at the frontier of science-all the while acknowledging that investing in science means investing in scientists? The Ruth L. Kirschstein National Research Service Award (NRSA) program is a research-training program administered by the National Institutes of Health (NIH) that makes such investments. This study examines the impact of NRSA postdoctoral fellowships on subsequent career outcomes using NIH administrative records on applicants for the fellowship from 1996 to 2008. It finds that fellowships increased the probability of receiving subsequent research awards from 4.0 to 6.3 percentage points and of achieving a major independent research award from 2.6 to 4.6 percentage points. The findings demonstrate that federally funded fellowships promote the retention of scientists in the biomedical research workforce.

Associations Between State TANF Policies, Child Protective Services Involvement, And Foster Care Placement.

The Temporary Assistance for Needy Families (TANF) program, which was established in 1996 and renewed in 2005, constituted a major reform of the US welfare system. Since its renewal, few studies have examined its effects on children. We used instrumental variables, two-way fixed effects, and event studies to examine the associations between state-level TANF policies, Child Protective Services involvement, and foster care placement during the period 2004-16. We found that each additional TANF policy that restricted access to benefits was associated with a 13 percent reduction in TANF caseloads. Using TANF policies as an instrument, we found that increases in TANF caseloads were associated with significant reductions in numbers of neglect victims and foster care placements. In two-way fixed effects models, restrictions on TANF access were associated with more than forty-four additional neglect victims per 100,000 child population and between nineteen and twenty-two additional children per 100,000 placed in foster care. Our findings suggest that additional research using data that capture the nuances of maltreatment should be used to investigate the relationships among TANF policies, child maltreatment, and foster care placement.

Association Between State Supplemental Nutrition Assistance Program Policies, Child Protective Services Involvement, and Foster Care in the US, 2004-2016.

Importance: Public assistance policies may play a role in preventing child maltreatment by improving household resources among families of low incomes. The Supplemental Nutrition Assistance Program (SNAP) is one of the largest public assistance programs in the US. However, the association of state SNAP policy options to Child Protective Services (CPS) outcomes has not been rigorously examined. Objective: To model the association of state SNAP policies with changes in CPS and foster care outcomes in the US over time. Design, Setting, and Participants: This cohort study used panel data to examine the association between SNAP policy options and study outcomes from 2004 to 2016 for 50 US states and the District of Columbia in 2-way fixed-effects regression models. The count of SNAP policies was used as an instrument for SNAP caseloads in instrumental variables models. Data analysis was conducted in November 2021. Exposures: The adoption of 1 or more state SNAP income generosity policies that improves or stabilizes household resources for SNAP participants. Main Outcomes and Measures: Reports of child maltreatment accepted for CPS investigation, children in substantiated reports, and children receiving foster care services for all forms of maltreatment, and specifically for child neglect per 100 000 child population. Results: The mean (SD) number of SNAP income generosity policies increased from 1.47 (0.95) in 2004 to 2.37 (0.94) in 2010, to 2.49 (0.86) in 2016 across states; the median increased from 1 to 3 (range, 0-4) over the same period. A count of state income generosity policies was associated with large reductions in reports accepted for CPS investigation (-352.6 per 100 000 children; 95% CI, -557.1 to -148.2). Income generosity policy was associated with -94.8 (95% CI, -155.6 to -34.0) fewer substantiated reports and -77.0 (95% CI, -125.4 to -28.6) fewer reports substantiated for neglect per 100 000. Each additional income generosity policy adopted by a state was associated with -45.1 (95% CI, -71.6 to -18.5) to -42.3 (95% CI, -64.8 to -19.8) fewer total foster care placements per 100 000 children. Conclusions and Relevance: State SNAP policies that improve and stabilize household resources appear to be associated with reductions in CPS involvement and use of foster care. The number of policies implemented had cumulative outcomes beyond individual policy outcomes.

Reflections on race, ethnicity, and NIH research awards.

It has been a decade since "Race, Ethnicity, and NIH Research Awards" was published. Receiving the American Society for Cell Biology Public Service Award allows me to reflect on this research and its impact. In this essay, I share the story of how my research interests and professional networks provided the opportunity to do this important work. I also make the case for improved data and mentoring to address race and ethnic disparities in NIH funding.

Economy-Sensitive Conditions: Are Some Pediatric Hospitalizations Triggered By Economic Recessions?

The impact of economic recessions on child health is complex and varied. Here we examine associations between county-level unemployment and pediatric hospitalizations in fourteen states every third year from 2002 to 2014. After adjusting for state-specific effects of unemployment across all counties and years, we found that increased unemployment was associated with increased pediatric hospitalizations for four potentially economy-sensitive conditions, such that a 1 percent increase in unemployment was associated with a 5 percent increase in hospitalizations for substance abuse, a 4 percent increase for diabetes mellitus, and a 2 percent increase both for children with medical complexity and for poisoning and burns. Mean pediatric all-cause hospitalizations increased by 2 percent for every 1 percent increase in unemployment (or 54,177 excess hospitalizations in 2011 compared with 2005). Hospitalizations for mental health, despite the increased severity of these conditions during recessions, were not associated with unemployment. Further research is needed to examine potential federal, state, and local policies that may mitigate the influence of unemployment on child health and pediatric hospitalizations.

Publications as predictors of racial and ethnic differences in NIH research awards.

This research expands efforts to understand differences in NIH funding associated with the self-identified race and ethnicity of applicants. We collected data from 2,397 NIH Biographical Sketches submitted between FY 2003 and 2006 as part of new NIH R01 Type 1 applications to obtain detailed information on the applicants' training and scholarly activities, including publications. Using these data, we examined the association between an NIH R01 applicant's race or ethnicity and the probability of receiving an R01 award. The applicant's publication history as reported in the NIH biographical sketch and the associated bibliometrics narrowed the black/white funding gap for new and experienced investigators in explanatory models. We found that black applicants reported fewer papers on their Biosketches, had fewer citations, and those that were reported appeared in journals with lower impact factors. Incorporating these measures in our models explained a substantial portion of the black/white funding gap. Although these predictors influence the funding gap, they do not fully address race/ethnicity differences in receiving a priority score.

The Effects of Research & Development Funding on Scientific Productivity: Academic Chemistry, 1990-2009.

This article examines the relationship between Research & Development (R&D) funding and the production of knowledge by academic chemists. Using articles published, either raw counts or adjusted for quality, we find a strong, positive causal effect of funding on knowledge production. This effect is similar across subsets of universities, suggesting a relatively efficient allocation of R&D funds. Finally, we document a rapid acceleration in the rate at which chemical knowledge was produced in the late 1990s and early 2000s relative to the financial and human resources devoted to its production.

Are race, ethnicity, and medical school affiliation associated with NIH R01 type 1 award probability for physician investigators?

PURPOSE: To analyze the relationship among National Institutes of Health (NIH) R01 Type 1 applicant degree, institution type, and race/ethnicity, and application award probability. METHOD: The authors used 2000-2006 data from the NIH IMPAC II grants database and other sources to determine which individual and institutional characteristics of applicants may affect the probability of applications being awarded funding. They used descriptive statistics and probit models to estimate correlations between race/ethnicity, degree (MD or PhD), and institution type (medical school or other institution), and application award probability, controlling for a large set of observable characteristics. RESULTS: Applications from medical schools were significantly more likely than those from other institutions to receive funding, as were applications from MDs versus PhDs. Overall, applications from blacks and Asians were less likely than those from whites to be awarded funding; however, among applications from MDs at medical schools, there was no difference in funding probability between whites and Asians, and the difference between blacks and whites decreased to 7.8%. The inclusion of human subjects significantly decreased the likelihood of receiving funding. CONCLUSIONS: Compared with applications from whites, applications from blacks have a lower probability of being awarded R01 Type 1 funding, regardless of the investigator's degree. However, funding probability is increased for applications with MD investigators and for those from medical schools. To some degree, these advantages combine so that applications from black MDs at medical schools have the smallest difference in funding probability compared with those from whites.

Race, ethnicity, and NIH research awards.

We investigated the association between a U.S. National Institutes of Health (NIH) R01 applicant's self-identified race or ethnicity and the probability of receiving an award by using data from the NIH IMPAC II grant database, the Thomson Reuters Web of Science, and other sources. Although proposals with strong priority scores were equally likely to be funded regardless of race, we find that Asians are 4 percentage points and black or African-American applicants are 13 percentage points less likely to receive NIH investigator-initiated research funding compared with whites. After controlling for the applicant's educational background, country of origin, training, previous research awards, publication record, and employer characteristics, we find that black applicants remain 10 percentage points less likely than whites to be awarded NIH research funding. Our results suggest some leverage points for policy intervention.

Family structure and children's educational outcomes: blended families, stylized facts, and descriptive regressions.

This article adds to the growing literature describing correlations between children's educational outcomes and family structure. Popular discussions have focused on the distinction between two-parent families and single-parent families. This article shows that educational outcomes for both types of children in blended families--stepchildren and their half-siblings who are the joint children of both parents--are similar to each other and substantially worse than outcomes for children reared in traditional nuclear families. We conclude that as a description of the data, the crucial distinction is between children reared in traditional nuclear families (i.e., families in which all children are the joint children of both parents) and children reared in other family structures (e.g., single-parent families or blended families). We then turn from "stylized facts" (i.e., simple correlations) that control only for family structure to "descriptive regressions" that control for other variables such as family income. When controls for other variables are introduced, the relationship between family structure and children's educational outcomes weakens substantially and is often statistically insignificant.