Testing and extending strategies for identifying genetic disease-related encounters in pediatric patients.

PURPOSE: To better understand health care utilization and develop decision support tools, methods for identifying patients with suspected genetic diseases (GDs) are needed. Previous studies had identified inpatient-relevant International Classification of Diseases (ICD) codes that were possibly, probably, or definitely indicative of GDs. We assessed whether these codes identified GD-related inpatient, outpatient, and emergency department encounters among pediatric patients with suspected GDs from a previous study (the North Carolina Clinical Genomic Evaluation by Next-Generation Exome Sequencing [NCGENES] study). METHODS: Using the electronic medical records of 140 pediatric patients from the NCGENES study, we characterized the presence of ICD codes representing possible, probable, or definite GD-related diagnoses across encounter types. In addition, we examined codes from encounters for which initially no GD-related codes had been found and determined whether these codes were indicative of a GD. RESULTS: Among NCGENES patients with visits between 2014 and 2017, 92% of inpatient, 75% of emergency department, and 63% of outpatient encounters included ≥1 GD-related code. Encounters with highly specific (ie, definite) GD codes had fewer low-specificity GD codes than encounters with only low-specificity GD codes. We identified an additional 32 ICD-9 and 56 ICD-10 codes possibly indicative of a GD. CONCLUSION: Code-based strategies can be refined to assess health care utilization among pediatric patients and may contribute to a systematic approach to identify patients with suspected GDs.

The Landscape of State Policies Supporting Family Caregivers as Aligned With the National Academy of Medicine Recommendations.

Policy Points In the absence of federal policy, states adopted policies to support family caregivers, but availability and level of support varies. We describe, compare, and rank state policies to support family caregivers as aligned with National Academy of Medicine recommendations. Although the landscape of state policies supporting caregivers has improved over time, few states provide financial supports as recommended, and benefit restrictions hinder accessibility for all types of family caregivers. Implementing policies supporting family caregivers will become more critical over time, as the reliance on family caregivers as essential providers of long-term care is only expected to grow as the population ages. CONTEXT: In the United States in 2020, approximately 26 million individuals provided unpaid care to a family member or friend. On average, 60% of caregivers were employed, and they provided 20.4 hours of care per week on top of employment. Although a handful of patchwork laws exist to aid family caregivers, systematic supports, including comprehensive training, respite, and financial support, remain limited. In the absence of federal supports, states have adopted policies to provide assistance, but they vary in availability and level of support provided. Our objectives were to describe, compare, and rank state policies to support family caregivers over time. METHODS: We used publicly available data from the AARP Long-Term Services and Supports State Scorecard, the National Academy for State Health Policy, and Tax Credits for Workers and Families for all 50 states and the District of Columbia (2015-2019). FINDINGS: We found that states had increased supports to family caregivers over this five-year period, although significant variability in adoption and implementation of policies persists. Approximately 20% of states had enacted policies that exceed the federal Family and Medical Leave Act requirements, and 18% offered paid family leave. However, most states had not improved spousal impoverishment protections for Medicaid beneficiaries. For example, from 2016 to 2019, 24% of states provided fewer or no protections, while 71% of states did not improve spousal impoverishment protections over time. Access to training for caregivers varied based on eligibility criteria (e.g., select populations and/or only co-residing caregivers). CONCLUSIONS: Overall, state approaches to support family caregivers vary by eligibility and scope of services. Substantial gaps in support of caregivers, particularly economic supports, persist. Although the landscape of state policies supporting caregivers has improved over time, few states provide financial supports as recommended by the National Academy of Medicine, and benefit restrictions hinder accessibility for all family caregivers.

Impacts of local public smoking bans on smoking behaviors and tobacco smoke exposure.

This paper examines the immediate and long-term effects of public smoking bans on smoking prevalence, smoking regularity, smoking intensity, and secondhand tobacco smoke exposure. We supplement the extensive literature on the effects of various types of tobacco control legislation on smoking behavior in developed countries by studying the provincial smoking bans and more recent national ban of a middle-income country, Argentina. We focus on the difference between full and partial smoking bans, and take advantage of the time and province variation in ban implementation in order to determine the causal effects of each type of ban. We find that full bans reduce national smoking prevalence over time, especially among younger demographic groups, but have no significant impact on intensity of smoking among smokers. Full bans also benefit nonsmokers, as they are associated with a significant reduction in environmental tobacco smoke exposure. Partial bans do not significantly impact smoking prevalence, and are found to increase smoking intensity among individuals who smoke every day. These findings provide support for ratification of full bans by all provinces according to the National Tobacco Control Law of 2011.

Longitudinal Self-Management and/or Transition Readiness per the TRxANSITION Index among Patients with Chronic Conditions in Pediatric or Adult Care Settings.

OBJECTIVE: To evaluate the roles of key individual, family, and illness characteristics on the levels of and gains in longitudinal healthcare transition (HCT) readiness in the pediatric setting and/or self-management skills (SMS) in the adult-focused setting, we used a large dataset with longitudinal measurements from 2006 to 2015. STUDY DESIGN: This longitudinal observational study followed 566 adolescents and young adults with chronic conditions at University of North Carolina Hospitals. TRxANSITION Index measurements, which represent learning outcomes rather than health outcomes, were collected multiple times per patient and analyzed using a novel application of an education-based approach. RESULTS: Levels of and gains in HCT/SMS scores increased with age (P < .001) with smaller increases at older ages. Mastery of skills varied by age with self-management achieved after 20 years of age. Scores varied positively by father's education and negatively by mother's education and duration of diagnosis. Gains in scores further varied positively with private insurance and negatively with mother's education and duration of diagnosis. CONCLUSIONS: We found diminishing positive increases in HCT/SMS scores as patients become older and smaller levels of and gains in readiness among younger patients with more educated mothers. Risk factors for absolute level of HCT/SMS readiness and inadequate longitudinal gains are not always the same, which motivates a deeper understanding of this dynamic process through additional research. This information can guide providers to focus HCT/SMS preparation efforts on skills mastered at particular ages and to identify patients at risk for inadequate development of HCT/SMS skills.

Infant Mortality Rate as a Measure of a Country's Health: A Robust Method to Improve Reliability and Comparability.

Researchers and policymakers often rely on the infant mortality rate as an indicator of a country's health. Despite arguments about its relevance, uniform measurement of infant mortality is necessary to guarantee its use as a valid measure of population health. Using important socioeconomic indicators, we develop a novel method to adjust country-specific reported infant mortality figures. We conclude that an augmented measure of mortality that includes both infant and late fetal deaths should be considered when assessing levels of social welfare in a country. In addition, mortality statistics that exhibit a substantially high ratio of late fetal to early neonatal deaths should be more closely scrutinized.

The Effects of Parental Health Shocks on Adult Offspring Smoking Behavior and Self-Assessed Health.

An important avenue for smoking deterrence may be through familial ties if adult smokers respond to parental health shocks. In this paper, we merge the Original Cohort and the Offspring Cohort of the Framingham Heart Study to study how adult offspring smoking behavior and subjective health assessments vary with elder parent smoking behavior and health outcomes. These data allow us to model the smoking behavior of adult offspring over a 30-year period contemporaneously with parental behaviors and outcomes. We find strong 'like father, like son' and 'like mother, like daughter' correlations in smoking behavior. We find that adult offspring significantly curtail their own smoking following an own health shock; however, we find limited evidence that offspring smoking behavior is sensitive to parent health, with the notable exception that women significantly reduce both their smoking participation and intensity following a smoking-related cardiovascular event of a parent. We also model the subjective health assessment of adult offspring as a function of parent health, and we find that women report significantly worse health following the smoking-related death of a parent. Copyright © 2015 John Wiley & Sons, Ltd.

Nurse scientists overcoming challenges to lead transdisciplinary research teams.

Increasingly, scientific funding agencies are requiring that researchers move toward an integrated, transdisciplinary team science paradigm. Although the barriers to and rewards of conducting this type of research have been discussed in the literature, examples of how nurse investigators have led these teams to reconcile the differences in theoretical, methodological, and/or analytic perspectives that inevitably exist are lacking. In this article, we describe these developmental trajectory challenges through a case study of one transdisciplinary team, focusing on team member characteristics and the leadership tasks associated with successful transdisciplinary science teams in the literature. Specifically, we describe how overcoming these challenges has been essential to examining the complex and potentially cumulative effects that key intersections between legal, social welfare, and labor market systems may have on the health of disadvantaged women. Finally, we discuss this difficult but rewarding work within the context of lessons learned and transdisciplinary team research in relation to the future of nursing science.

Changing the Clock in Medical Education: Addressing Physician Shortages and Patient Outcomes.

Despite the shortage of physicians in the United States, there is no consensus among medical educators as to how to address the nation's unmet needs. A growing but unfulfilled argument is to revisit the configuration of medical education and the time required to complete medical training. Pilot programs, such as shortened programs or advancement-in-place structures to accelerate the practice capability of trainees, have been attempted. This manuscript addresses underlying economic and human considerations that medical educators must reconcile, drawing on lessons from international educational structures, as we advance toward a system that supports the needs of the communities that our graduates will serve.

The Impact of Multimorbidity on Labor Force Participation among the Middle-aged and Older Working Population in the United States.

OBJECTIVE: Multimorbidity, known as multiple chronic conditions (MCCs), is the co-existence of two or more chronic health conditions (CHC). The near-retirement-age population with MCC is more likely to experience discontinued labor force participation (LFP). Our objective was to evaluate the impact of MCC on LFP among adults aged 50-64 and to explore heterogeneous effects between self-employed and non-self-employed workers. METHOD: We constructed our sample using the Health and Retirement Study (HRS) from 1996 to 2018. We adopted an individual fixed-effect (F.E.) model and Propensity Score Matching (PSM) to measure the impact of MCC on the probability of being employed and changes in annual work hours. RESULTS: 50.5% of respondents have MCC. Individuals with MCC exhibit a predicted probability of being employed that is 9.3 percentage points (P<0.01, 95% CI: -0.109, -0.078) lower than those without MCC. Compared with non-CHC, MCC significantly reduced annual working hours by 6.1% (P<0.01, 95% CI: -0.091, -0.036) in the F.E. model and by 4.9% (P<0.01, CI: -0.064, -0.033) in PSM estimation. The effect is more pronounced for the self-employed with MCC, who have 13.0% (P<0.05, CI: -0.233, -0.026) fewer annual work hours than non-CHCs based on the FE model and 13.4% (P<0.01, CI: -0.197, -0.070) in PSM estimation. DISCUSSION: MCC significantly reduces LFP compared with non-MCC. MCC has a heterogeneous impact across occupational types. It is important to support the near-retirement-age working population with multimorbidity through effective clinical interventions and workplace wellness policies to help manage health conditions and remain active in the labor market.

Short-term effects of comprehensive caregiver supports on caregiver outcomes.

OBJECTIVE: To estimate the association of the Veterans Health Administration (VHA) Program of Comprehensive Assistance for Family Caregivers (PCAFC) implemented in 2011 with caregiver health and health care use. DATA SOURCES: VHA claims and electronic health records from May 2009 to May 2018. STUDY DESIGN: Using a retrospective, pre-post study design with inverse probability of treatment weights to address selection into treatment, we examine the association of PCAFC on caregivers who are veterans: (1) outpatient primary, specialty, and mental health care visits; (2) probability of uncontrolled hypertension and anxiety/depression; and (3) VHA health care costs. We compare outcomes for caregivers approved for PCAFC (treatment) to caregivers denied PCAFC (comparison). DATA COLLECTION/EXTRACTION METHODS: Not applicable. PRINCIPAL FINDINGS: In the year pre-application, we observe similar probabilities of having any VHA primary care (~36%), VHA specialty care (~24%), and VHA or VHA-purchased mental health care (~22%) for treatment and comparison caregivers. In the year post-application, treated caregivers had a 5.89 percentage point larger probability of any outpatient VHA primary care (p = 0.002) and 4.34 percentage points larger probability of any outpatient mental health care use (p = 0.014). Post-application, probabilities of having uncontrolled hypertension or diagnosed anxiety/depression were higher for both treated and comparison groups. In the second year post-application, treated caregivers had a 1.88 percentage point larger probability of uncontrolled hypertension (p = 0.019) and 4.68 percentage points larger probability of diagnosed anxiety/depression (predicted probabilities: treated = 0.30; comparison = 0.25; p = 0.005). We find no evidence of differences in VHA total costs by PCAFC status. CONCLUSIONS: Our findings that PCAFC enrollment is associated with increased health care diagnosis and service use may reflect improved access for previously unmet needs in the population of veteran caregivers for veterans in PCAFC. The costs and value of these increases can be weighed against other effects of the program to inform national policies supporting caregivers.

In focus: perplexing increase of urinary stone disease in children, adolescent and young adult women and its economic impact.

Background: Urinary stone disease (USD) historically has affected older men, but studies suggest recent increases in women, leading to a near identical sex incidence ratio. USD incidence has doubled every 10 years, with disproportionate increases amongst children, adolescent, and young adult (AYA) women. USD stone composition in women is frequently apatite (calcium phosphate), which forms in a higher urine pH, low urinary citrate, and an abundance of urinary uric acid, while men produce more calcium oxalate stones. The reasons for this epidemiological trend are unknown. Methods: This perspective presents the extent of USD with data from a Canadian Province and a North American institution, explanations for these findings and offers potential solutions to decrease this trend. We describe the economic impact of USD. Findings: There was a significant increase of 46% in overall surgical interventions for USD in Ontario. The incidence rose from 47.0/100,000 in 2002 to 68.7/100,000 population in 2016. In a single United States institution, the overall USD annual unique patient count rose from 10,612 to 17,706 from 2015 to 2019, and the proportion of women with USD was much higher than expected. In the 10-17-year-old patients, 50.1% were girls; with 57.5% in the 18-34 age group and 53.6% in the 35-44 age group. The roles of obesity, diet, hormones, environmental factors, infections, and antibiotics, as well as the economic impact, are discussed. Interpretation: We confirm the significant increase in USD among women. We offer potential explanations for this sex disparity, including microbiological and pathophysiological aspects. We also outline innovative solutions - that may require steps beyond typical preventive and treatment recommendations.

The influence of endogenous behaviors among social pairs: Social interaction effects of smoking.

We model the observed smoking outcomes of an individual and her social contact - a spouse, friend, sibling, parent or adult child - as a simultaneous move game with complete information. We allow an individual's smoking behavior to depend on her previous behavior and carefully account for observed and unobserved heterogeneity. Our econometric model addresses simultaneity, homophily, health endogeneity, non-random attrition, and multiplicity of equilibria together. Using network data from the Framingham Heart Study, we find smaller social interaction effects among spouses and friends than Christakis and Fowler (2008) who pioneered such exploration with these data. We also find that social interaction impacts of the endogenous behaviors of siblings or a parent and an adult child are not statistically significant after disentangling them from homophily. In addition, we find that the effects of social contacts' cardiovascular disease shocks on individual smoking behavior are not statistically significant.

Smoking and Mortality: New Evidence from a Long Panel.

Many public health policies are rooted in findings from medical and epidemiological studies that fail to consider behavioral influences. Using nearly 50 years of data from Framingham Heart Study male participants, we evaluate the longevity consequences of different lifetime smoking patterns by jointly estimating smoking behavior and health outcomes over the life cycle, by richly including smoking and health histories, and by flexibly incorporating correlated unobserved heterogeneity. Unconditional difference-in-mean calculations that treat smoking behaviors as random indicate a 9.3 year difference in age of death between lifelong smokers and nonsmokers; our findings suggest the bias-corrected difference is 4.3 years.

Disentangling the Contemporaneous and Dynamic Effects of Human and Health Capital on Wages over the Life Cycle.

We quantify the life-cycle effects of human and health capital on the wage distribution of women, with a focus on health capital measured by body mass. We use NLSY79 data on women followed annually up to twenty years during the time of their lives when average annual weight gain is greatest. We measure the wage impact of current body mass (i.e., the contemporaneous or direct effect) while controlling for observed measures of human capital (namely, educational attainment, employment experience, marital status tenure, and family size) and the impacts of an evolving body mass (i.e., the dynamic or indirect effects) on the endogenous histories of behaviors that produce these human capital stocks. We find significant differences in the contemporaneous and dynamic effects of body mass on wages by age, by race, and by wage level.

A Generalized Assessment of the Impact of Regionalization and Provider Learning on Patient Outcomes.

We present a generalized model to assess the impact of regionalization on patient care outcomes in the presence of heterogeneity in provider learning. The model characterizes best regionalization policies as optimal allocations of patients across providers with heterogeneous learning abilities. We explore issues that arise when solving for best regionalization, which depends on statistically estimated provider learning curves. We explain how to maintain the problem's tractability and reformulate it into a binary integer program problem to improve solvability. Using our model, best regionalization solutions can be computed within reasonable time using current-day computers. We apply the model to minimally invasive radical prostatectomy and estimate that, in comparison to current care delivery, within-state regionalization can shorten length of stay by at least 40.8%.

A flexible approach for estimating the effects of covariates on health expenditures.

Our estimation strategy uses sequences of conditional probability functions, similar to those used in discrete time hazard rate analyses, to construct a discrete approximation to the density function of an outcome of interest conditional on exogenous explanatory variables. Once the conditional density function has been constructed, we can examine expectations of arbitrary functions of the outcome of interest and evaluate how these expectations vary with observed exogenous covariates. We demonstrate the features and precision of the conditional density estimation method (and compare it to other commonly used methods) through Monte Carlo experiments and an application to health expenditures using the RAND Health Insurance Experiment data. Overall, we find that the approximate conditional density estimator provides accurate and precise estimates of derivatives of expected outcomes for a wide range of types of explanatory variables.