Physician-Targeted Interventions Reduce Surgical Expense and Improve Value-Driven Health Outcomes.

INTRODUCTION: Increasing health-care costs in the United States have not translated to superior outcomes in comparison to other developed countries. The implementation of physician-targeted interventions to reduce costs may improve value-driven health outcomes. This study aimed to evaluate the effectiveness of physician-targeted interventions to reduce surgical expenses and improve care for patients undergoing total thyroidectomies. METHODS: Two separate face-to-face interventions with individual surgeons focusing on surgical expenses associated with thyroidectomy were implemented in two surgical services (endocrine surgery and otolaryngology) by the surgical chair of each service in Jun 2016. The preintervention period was from Dec 2014 to Jun 2016 (19 mo, 352 operations). The postintervention period was from July 2016 to January 2018 (19 mo, 360 operations). Descriptive statistics were utilized, and differences-in-differences were conducted to compare the pre and postintervention outcomes including cost metrics (total costs, fixed costs, and variable costs per thyroidectomy) and clinical outcomes (30-d readmission rate, days to readmission, and total length of stay). RESULTS: Patient demographics and characteristics were comparable across pre- and post-intervention periods. Post-intervention, both costs and clinical outcomes demonstrated improvement or stability. Compared to otolaryngology, endocrine surgery achieved additional savings per surgery post-intervention: mean total costs by $607.84 (SD: 9.76; P < 0.0001), mean fixed costs by $220.21 (SD: 5.64; P < 0.0001), and mean variable costs by $387.82 (SD: 4.75; P < 0.0001). CONCLUSIONS: Physician-targeted interventions can be an effective tool for reducing cost and improving health outcomes. The effectiveness of interventions may differ based on specialty training. Future implementations should standardize these interventions for a critical evaluation of their impact on hospital costs and patient outcomes.

Factors associated with US and Canadian genetic counselors' testing decisions during pregnancy.

Decision-making regarding prenatal screening and diagnostic testing has become more complex as the number of options has increased, with pregnant patients having access to more information about their pregnancies than ever before. Genetic counselors have extensive training in prenatal genetic screening and testing options, but personal decision-making in this well-informed population remains largely unstudied. This study describes the prenatal testing decisions genetic counselors made during their own pregnancies, and the factors identified as important when making those decisions. A web-based, mixed-methods survey was distributed to members of multiple professional societies for genetic counselors. A total of 318 genetic counselors across numerous specialties in the United States and Canada participated in this study. The satisfaction with decision scale was modified and applied to measure participants' decisional satisfaction. In their most recent pregnancies, most genetic counselors pursued carrier screening (77%) and aneuploidy and/or open neural tube defect screening (88%). A minority of genetic counselors (15%) utilized diagnostic testing. Common factors considered when making testing decisions included wanting information that could impact future decisions, test specifics (e.g., accuracy, methodology, and content), and knowledge gained from participants' genetic counseling background. The uptake of diagnostic testing among prenatal genetic counselors was significantly greater (p < 0.05) than the uptake among genetic counselors in other specialties. This informed study population largely self-directed their own prenatal care, leading to high satisfaction with their decisions. Data in this study provide evidence for promoting participation in prenatal screening and testing decision-making to maximize decisional satisfaction.

Neighborhood disadvantage and the sales of unhealthy products: alcohol, tobacco and unhealthy snack food.

BACKGROUND: Individuals may use unhealthy coping mechanisms such as alcohol, tobacco, and unhealthy snack consumption. The purpose of this study was to assess how neighborhood disadvantage is associated with sales of alcohol, tobacco, and unhealthy snacks at stores of a discount variety store chain. METHODS: Alcohol, tobacco, and unhealthy snack sales were measured monthly for 20 months, 2017-2018, in 16 discount variety stores in the United States. Mixed effects linear regressions adjusted for population size, with store-specific random effects, to examine the relationship of weekly unit sales with three outcome variables and neighborhood disadvantage, measured using the Area Deprivation Index (ADI). RESULTS: The discount variety stores were located in neighborhoods where the median ADI percentile was 87 [interquartile range 83,89], compared to the median ADI percentile of 50 for all US communities, indicating that the stores were located in substantially disadvantaged neighborhoods. For every 1% increase in ADI, weekly unit sales of unhealthy snack food increased by 43 [95% confidence interval, CI 28-57], and weekly unit sales of tobacco products increased by 11.5 [95% CI 5-18] per store. No significant relationship between neighborhood disadvantage and the weekly unit sales of alcohol products was identified. CONCLUSIONS: The positive relationship between neighborhood disadvantage and the sale of tobacco and snack foods may help explain the pathway between neighborhood disadvantage and poor health outcomes. It would be useful for future research to examine how neighborhood disadvantage influences resident health-related behaviors.

Social factors and public policies associated with state infant mortality rates.

Despite mounting evidence that social factors and public policies affect state infant mortality rates (IMRs), few researchers have examined variation in IMRs associated with those factors and policies. We quantified disparities in infant mortality by state social factors and public policy characteristics. We hypothesized that some social factors and public policies would be more strongly associated with infant mortality than others, and that states with similar factors and policies would form clusters with varying levels of infant mortality. We examined associations of women's economic empowerment, health and well-being, political participation, reproductive rights, and work and family-related policies with state IMRs in 2012 and 2015, using indicators created by the Institute for Women's Policy Research. Methods included generalized linear models, principal component analysis, and cluster analysis. Health and well-being predicted IMRs (2012, 2015, both p < .05), as did poverty and opportunity, and reproductive rights (2012, p < .10). Consistent with our hypothesis, states formed clusters, with the states in each cluster having similar social factors and public policies, and similar IMRs. Women's health status and insurance coverage were more predictive of state IMRs than other social factors. Improving health and insurance coverage may be an effective way to reduce state IMRs.

Pediatric Practice Readiness for Disaster Response.

OBJECTIVES: The American Academy of Pediatrics (AAP) calls for the inclusion of office-based pediatricians in disaster preparedness and response efforts. However, there is little research about disaster preparedness and response on the part of pediatric practices. This study describes the readiness of pediatric practices to respond to disaster and delineates factors associated with increased preparedness. METHODS: An AAP survey was distributed to members to assess the state of pediatric offices in readiness for disaster. Potential predictor variables used in chi-square analysis included community setting, primary employment setting, area of practice, and previous disaster experience. RESULTS: Three-quarters (74%) of respondents reported some degree of disaster preparedness (measured by 6 indicators including written plans and maintaining stocks of supplies), and approximately half (54%) reported response experience (measured by 3 indicators, including volunteering to serve in disaster areas). Respondents who reported disaster preparation efforts were more likely to have signed up for disaster response efforts, and vice versa. CONCLUSIONS: These results contribute information about the state of pediatric physician offices and can aid in developing strategies for augmenting the inclusion of office-based pediatricians in community preparedness and response efforts.

Increasing Access to WIC through Discount Variety Stores: Findings from Qualitative Research.

BACKGROUND: Many low-income neighborhoods do not include a full-service grocery store. In these communities, discount variety stores (DVS) can be convenient points of food access. However, no identified DVS are authorized to accept Special Supplemental Nutrition Program for Women, Infants, and Children Program (WIC) benefits. OBJECTIVE: One national DVS retailer implemented WIC in 10 stores located in low-income communities in North Carolina over a 10-month pilot period to assess WIC feasibility. METHODS: To better understand the facilitators and barriers to WIC implementation from the perspective of DVS staff, we analyzed 36 in-depth interviews with employees of this DVS chain at corporate, manager, and store clerk levels. RESULTS: Most participants provided positive feedback about implementing and offering WIC. Many store employees had personal experience participating in WIC, which increased their understanding of the WIC shopping experience. Store staff's prior WIC participation and customers' proximity to DVS locations were facilitators to implementation. Primary barriers included limited choice of store products for customers, complicated or unclear labeling of WIC products, and difficulty training employees to process WIC vouchers. CONCLUSIONS: These findings suggest that whereas most employees viewed WIC positively, barriers related to product selection and training must be addressed. Notably, North Carolina's recent change to an electronic system to process WIC transactions requires minimal manual employee training and should address several barriers to implementation. However, the computer system upgrades necessary to accept electronic WIC transactions may be a barrier for DVS to continued WIC acceptance. Future research is needed to evaluate implementation of electronic WIC transactions in DVS.

Validity of the American Thoracic Society and other spirometric algorithms using FVC and forced expiratory volume at 6 s for predicting a reduced total lung capacity.

OBJECTIVES: (1) To compare the performance of three spirometric algorithms developed to predict whether the total lung capacity (TLC) is reduced vs normal or increased, (2) to determine if forced expiratory volume at 6 s (FEV(6)) can be substituted for FVC in these algorithms, and (3) to determine if ascertainment bias was present in patients referred for the measurement of spirometry and TLC compared to patients referred for spirometry only. METHODS: We analyzed the results of 219 consenting consecutive patients referred to a New Zealand tertiary hospital respiratory laboratory for spirometry and TLC measurements. Spirometry results from 370 patients referred for spirometry but not lung volumes were used to test for potential ascertainment bias. Spirometry results were analyzed using the lower limit of normal (LLN) values from the third National Health and Nutrition Examination Study reference equations. The equations of Goldman and Becklake, and Crapo were used to classify TLC as normal or abnormal. Receiver operator characteristic curves were used to produce an algorithm using the LLN for FVC and FEV(6). The performances of previous algorithms and our own algorithms were analyzed for predicting a reduced lung volume against the "gold standard," plethysmographic TLC. RESULTS: All three algorithms predicted a reduced TLC with an accuracy of approximately 50%. In contrast, all algorithms predicted TLC was either normal or increased with an accuracy of > or = 99% regardless of the reference set used. The algorithms based on FEV(6) performed equally as well as the FVC algorithms. No ascertainment bias was found. CONCLUSIONS: This study provides evidence that spirometry-based algorithms can accurately predict when TLC is either normal or increased, and can also increase the a priori probability that TLC is reduced to approximately 50%. FEV(6) is equivalent to FVC in these predictions.