The Effect of Legal and Hospital Policies on Physician Response to Prenatal Substance Exposure

Objectives : To determine the influence of a state's legal environment and a hospital's Prenatal Substance Exposure (PSE) protocol on physicians' propensity to respond when prenatal substance exposure is suspected. Methods : Using a sample of 1367 physicians from every state and the District of Columbia, we formulate a set of linear models to determine the impact of the legal environment and hospital protocol on physicians' response to PSE, the agreement between physicians' perceptions and actual state legal environments, and physicians' motivation to act when PSE is suspected. Results : Both protocol and legal environment showed to be significantly correlated with physicians' propensity to take action when PSE is suspected ( p < 0.05). Our analysis shows that physicians prefer a public health (patient-centered) approach to more punitive measures. Conclusions : Our results suggest a policy strategy focused first on enacting laws that would encourage a patient-centered approach, by developing and using hospital protocols to implement state policy, and then on educating physicians about the actual legal environment.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/45325/1/10995_2004_Article_470716.pd

Comparing effects of tobacco use prevention modalities: need for complex system models

Many modalities of tobacco use prevention programming have been implemented including various policy regulations (tax increases, warning labels, limits on access, smoke-free policies, and restrictions on marketing), mass media programming, school-based classroom education, family involvement, and involvement of community agents (i.e., medical, social, political). The present manuscript provides a glance at these modalities to compare relative and combined impact of them on youth tobacco use. In a majority of trials, community-wide programming, which includes multiple modalities, has not been found to achieve impacts greater than single modality programming. Possibly, the most effective means of prevention involves a careful selection of program type combinations. Also, it is likely that a mechanism for coordinating maximally across program types (e.g., staging of programming) is needed to encourage a synergistic impact. Studying tobacco use prevention as a complex system is considered as a means to maximize effects from combinations of prevention types. Future studies will need to more systematically consider the role of combined programming

Toward Rigorous Idiographic Research in Prevention Science: Comparison Between Three Analytic Strategies for Testing Preventive Intervention in Very Small Samples

Psychosocial prevention research lacks evidence from intensive within-person lines of research to understand idiographic processes related to development and response to intervention. Such data could be used to fill gaps in the literature and expand the study design options for prevention researchers, including lower-cost yet rigorous studies (e.g., for program evaluations), pilot studies, designs to test programs for low prevalence outcomes, selective/indicated/ adaptive intervention research, and understanding of differential response to programs. This study compared three competing analytic strategies designed for this type of research: autoregressive moving average, mixed model trajectory analysis, and P-technique. Illustrative time series data were from a pilot study of an intervention for nursing home residents with diabetes (N=4) designed to improve control of blood glucose. A within-person, intermittent baseline design was used. Intervention effects were detected using each strategy for the aggregated sample and for individual patients. The P-technique model most closely replicated observed glucose levels. ARIMA and P-technique models were most similar in terms of estimated intervention effects and modeled glucose levels. However, ARIMA and P-technique also were more sensitive to missing data, outliers and number of observations. Statistical testing suggested that results generalize both to other persons as well as to idiographic, longitudinal processes. This study demonstrated the potential contributions of idiographic research in prevention science as well as the need for simulation studies to delineate the research circumstances when each analytic approach is optimal for deriving the correct parameter estimates

The impact of relationship stressors on trust and pro-relationship behavior within adolescent romantic relationships: A systems approach

Purpose: Trust is an essential component of romantic relationships. It is not understood how youth respond to a relationship stressor, which may impact trust, such as perceiving to be at risk for a sexually transmitted infection or their partner has other sex partners. We used a system science approach to examine feedback between trust and prorelationship behaviors within adolescent relationships. Methods: A prospective cohort of clinic-recruited young women (N = 122), aged 16-19 years, completed daily questionnaires on partner-specific feelings and risk perceptions for 18 months. Relationship stressor defined as either perceiving the risk of sexually transmitted infection from a partner or partner had other sex partners. Prorelationship behaviors were more time spent with partner, sex with partner, and/or gift from partner. Time-lagged generalized estimating equation models were used to examine whether a relationship stressor is associated with a decrease in trust and whether prorelationship behaviors changed following the stressor. Results: Experiencing a stressor was associated with threefold increased odds of having a decrease in trust in the same week (odds ratio [OR] = 3.30, 95% confidence interval [CI]: 2.30-4.72). Trust increased significantly the week following the stressor (OR = 2.09, 95% CI: 1.54-2.85). An increase in trust relative to the week of the stressor was associated with a 65% increase in prorelationship behavior in the week following the stressor (OR = 1.65, 95% CI: 1.20-2.26). Conclusions: Data uniquely show that trust is impacted following a relationship stressor and that youth increase prorelationship behaviors following a drop in trust. The findings suggest that adolescents prioritize maintaining trust, which may impact engagement in protective health behaviors

A non-experimental study of oral anticoagulation therapy initiation before and after national patient safety goals

ObjectivesThe Joint Commission revised its National Patient Safety Goals (NPSGs) to include oral anticoagulation therapy (OAT) in 2008. We sought to examine the effect of including OAT in The Joint Commission's NPSGs on historically low rates of OAT initiation for individuals with incident atrial fibrillation (AF).SettingSoutheastern state in the USA.ParticipantsNorth Carolina State Health Plan claims data from 944 500 individuals enrolled between 1 January 2006 and 31 December 2010, supplemented with data from the Area Resource File and Online Survey, Certification and Reporting data network. We evaluated OAT initiation before and after the 2008 NPSGs revisions in a retrospective cohort new user design with an AF intervention group and two control groups: a positive control—patients estimated to be at very high risk of thromboembolism (mechanical heart valve and pulmonary embolism); and a negative control—patients with very low perceived risk of thromboembolism (paroxysmal AF). We developed multivariable models using a difference-in-difference parameterisation. Effects were estimated with generalised estimating equations.Primary outcome measureOAT initiation, a binary outcome defined as having a prescription drug claim for warfarin within 30 days of the index claim.ResultsOAT initiation was low (26.8%) for eligible individuals with incident AF in 2006–2008 but increased after NPSGs implementation (31.7%, p=0.022). OAT initiation was high but decreased in the positive control group (67.5% vs 62.0%, p=0.003). Multivariate analysis resulted in a relative 11% (95% CI (4% to 18%), p<0.01) increase in OAT initiation for incident AF patients.ConclusionsWe document a substantial increase in guideline concordant OAT initiation in incident AF after the establishment of NPSGs, suggesting that regulatory healthcare agency initiatives can influence clinical practice

Association of Simulated COVID-19 Vaccination and Nonpharmaceutical Interventions With Infections, Hospitalizations, and Mortality

IMPORTANCE Vaccination against SARS-CoV-2 has the potential to significantly reduce transmission and COVID-19 morbidity and mortality. The relative importance of vaccination strategies and nonpharmaceutical interventions (NPIs) is not well understood. OBJECTIVE To assess the association of simulated COVID-19 vaccine efficacy and coverage scenarios with and without NPIs with infections, hospitalizations, and deaths. DESIGN, SETTING, AND PARTICIPANTS An established agent-based decision analytical model was used to simulate COVID-19 transmission and progression from March 24, 2020, to September 23, 2021. The model simulated COVID-19 spread in North Carolina, a US state of 10.5 million people. A network of 1 017 720 agents was constructed from US Census data to represent the statewide population. EXPOSURES Scenarios of vaccine efficacy (50% and 90%), vaccine coverage (25%, 50%, and 75% at the end of a 6-month distribution period), and NPIs (reduced mobility, school closings, and use of face masks) maintained and removed during vaccine distribution. MAIN OUTCOMES AND MEASURES Risks of infection from the start of vaccine distribution and risk differences comparing scenarios. Outcome means and SDs were calculated across replications. RESULTS In the worst-case vaccination scenario (50% efficacy, 25%coverage), a mean (SD) of 2 231 134 (117 867) new infections occurred after vaccination began with NPIs removed, and a mean (SD) of 799 949 (60 279) new infections occurred with NPIs maintained during 11 months. In contrast, in the best-case scenario (90% efficacy, 75%coverage), a mean (SD) of 527 409 (40 637) new infections occurred with NPIs removed and a mean (SD) of 450 575 (32 716) new infections occurred with NPIs maintained. With NPIs removed, lower efficacy (50%) and higher coverage (75%) reduced infection risk by a greater magnitude than higher efficacy (90%) and lower coverage (25%) compared with theworst-case scenario (mean [SD] absolute risk reduction, 13%[1%] and 8%[1%], respectively). CONCLUSIONS AND RELEVANCE Simulation outcomes suggest that removing NPIs while vaccines are distributed may result in substantial increases in infections, hospitalizations, and deaths. Furthermore, as NPIs are removed, higher vaccination coverage with less efficacious vaccines can contribute to a larger reduction in risk of SARS-CoV-2 infection compared with more efficacious vaccines at lower coverage. These findings highlight the need for well-resourced and coordinated efforts to achieve high vaccine coverage and continued adherence to NPIs before many prepandemic activities can be resumed

Synthesizing Marketing, Community Engagement, and Systems Science Approaches for Advancing Translational Research

The adoption and implementation of evidence-based interventions (EBIs) are end goals of translational research, however, potential end-users’ perceptions of an EBI’s value have contributed to low rates of adoption. In this article, we describe our application of emerging dissemination and implementation science theoretical perspectives, community engagement, and systems science principles to develop a novel EBI dissemination approach. Using consumer-driven, graphics-rich simulation, the approach demonstrates predicted implementation effects on health and employment outcomes for socioeconomically disadvantaged women at the local level, and is designed to increase adoption interest of county program managers accountable for improving these outcomes in their communities

Does a transition to accountable care in Medicaid shift the modality of colorectal cancer testing?

Abstract Background Health care reform is changing preventive services delivery. This study explored trajectories in colorectal cancer (CRC) testing over a 5-year period that included implementation of 16 Medicaid Accountable Care Organizations (ACOs, 2012) and Medicaid expansion (2014) – two provisions of the Affordable Care Act (ACA) - within the state of Oregon, USA. Methods Retrospective analysis of Oregon’s Medicaid claims for enrollee’s eligible for CRC screening (50–64 years) spanning January 2010 through December 2014. Our analysis was conducted and refined April 2016 through June 2018. The analysis assessed the annual probability of patients receiving CRC testing and the modality used (e.g., colonoscopy, fecal testing) relative to a baseline year (2010). We hypothesized that CRC testing would increase following Medicaid ACO formation – called Coordinated Care Organizations (CCOs). Results A total of 132,424 unique Medicaid enrollees (representing 255,192 person-years) met inclusion criteria over the 5-year study. Controlling for demographic and regional factors, the predicted probability of CRC testing was significantly higher in 2014 (+ 1.4 percentage points, p < 0.001) compared to the 2010 baseline but not in 2012 or 2013. Increased fecal testing using Fecal Occult Blood Tests (FOBT) or Fecal Immunochemical Tests (FIT) played a prominent role in 2014. The uptick in statewide fecal testing appears driven primarily by a subset of CCOs. Conclusions Observed CRC testing did not immediately increase following the transition to CCOs in 2012. However increased testing in 2014, may reflect a delay in implementation of interventions to increase CRC screening and/or a strong desire by newly insured Medicaid CCO members to receive preventive care

Cost-Effectiveness Analysis of Four Simulated Colorectal Cancer Screening Interventions, North Carolina

Colorectal cancer (CRC) screening rates are suboptimal, particularly among the uninsured and the under-insured and among rural and African American populations. Little guidance is available for state-level decision makers to use to prioritize investment in evidence-based interventions to improve their population’s health. The objective of this study was to demonstrate use of a simulation model that incorporates synthetic census data and claims-based statistical models to project screening behavior in North Carolina