Health Insurance Coverage for Farmworkers in California After the Introduction of the Affordable Care Act: A Mixed-methods Study.

BACKGROUND: Previous studies have found that health insurance coverage expanded for farmworkers from 2011-2012 to 2015-2016 due in part to the introduction of the Patient Protection and Affordable Care Act (ACA). This study examines the continued impact of the ACA on insurance coverage for farmworkers to 2018 and identifies barriers to further expansion. METHODS: A mixed-methods approach was utilized. Weighted statistical analyses were conducted on the National Agriculture Worker Survey (NAWS) data for 2011-2012, 2015-2016, and 2017-2018. Qualitative interviews conducted with agricultural employers, health care providers, and community-based organizations examined the impact of the ACA on health insurance coverage for farmworkers. RESULTS: Though health insurance coverage for farmworkers in California increased after the introduction of the ACA (from 37.3% in 2011-2012 to 56.5%% in 2015-2016), coverage rates grew only modestly between 2015-2016 and 2017-2018 (64.8%). Coverage rates were higher for documented (43.0% in 2011-2012 and 77.7% in 2017-2018) than for undocumented workers (26% in 2011-2012 and 46.8% in 2017-2018). The results from the qualitative interviews suggested that barriers to increased coverage include the high cost of insurance for growers, high deductibles and copays for farmworkers, and distrust of government agencies. CONCLUSIONS: While the period after the ACA was associated with notable improvements in health insurance coverage for farmworkers in California, important barriers remain for farmworkers seeking to obtain insurance and for growers seeking to provide coverage. POLICY IMPLICATIONS: States should consider funding a farmworker-specific Medicaid program to provide health insurance coverage and care coordination across counties and states.

Beliefs about marijuana use during pregnancy and breastfeeding held by residents of a Latino-majority, rural region of California.

Marijuana use among pregnant and breastfeeding women is on the rise and carries risks for infant health and well-being. Decisions to use marijuana while pregnant and breastfeeding are motivated by beliefs that use poses minimal risk to infants and offers benefits to maternal users. Misperceptions and usage trend higher among disadvantaged populations. This study surveyed 401 community residents on beliefs about risks and benefits of marijuana use by pregnant and breastfeeding women. The study utilized techniques to enhance recruitment of Latino and disadvantaged residents of rural communities in California, a state where recreational marijuana use is legal. Analyses revealed substantial endorsement of beliefs about benefits and low risks of marijuana use while pregnant and breastfeeding, many of which run counter to current evidence. Misperceptions were particularly prevalent for cannabis users and male respondents. Trends in valid beliefs, while modest, were higher for Latinos and parents.

Biomarkers of respiratory syncytial virus (RSV) infection: specific neutrophil and cytokine levels provide increased accuracy in predicting disease severity.

Despite fundamental advances in the research on respiratory syncytial virus (RSV) since its initial identification almost 60 years ago, recurring failures in developing vaccines and pharmacologic strategies effective in controlling the infection have allowed RSV to become a leading cause of global infant morbidity and mortality. Indeed, the burden of this infection on families and health care organizations worldwide continues to escalate and its financial costs are growing. Furthermore, strong epidemiologic evidence indicates that early-life lower respiratory tract infections caused by RSV lead to the development of recurrent wheezing and childhood asthma. While some progress has been made in the identification of reliable biomarkers for RSV bronchiolitis, a "one size fits all" biomarker capable of accurately and consistently predicting disease severity and post-acute outcomes has yet to be discovered. Therefore, it is of great importance on a global scale to identify useful biomarkers for this infection that will allow pediatricians to cost-effectively predict the clinical course of the disease, as well as monitor the efficacy of new therapeutic strategies.

Sustainability of behavioral interventions: beyond cost-effectiveness analysis.

BACKGROUND: Behavioral researchers need to ensure that successful interventions are sustained after the efficacy and effectiveness research concludes. PURPOSE: This article provides an overview of economic analyses that can be incorporated into behavioral medicine interventions to promote sustainability and recommendations regarding their use. We suggest that researchers interested in ensuring that their interventions are sustained include a budget impact analysis and identify the return on investment to the organizations or groups who must adopt and maintain the interventions at the conclusion of the study. RECOMMENDATIONS: We advocate the use of a thorough budget impact analysis that includes assessments of the change in costs and revenues for each organization over the short run and the monetary value of the intervention to the participants. CONCLUSIONS: By anticipating the types of economic information that will best promote sustainability, behavioral medicine researchers can better ensure the successful dissemination and translation of their interventions into sustained practice.

Cost of chronic disease in California: estimates at the county level.

CONTEXT: An estimated 39% of people in California suffer from at least one chronic condition or disease. While the increased coverage provided by the Affordable Care Act will result in greater access to primary health care, coordinated strategies are needed to prevent chronic conditions. To identify cost-effective strategies, local health departments and other agencies need accurate information on the costs of chronic conditions in their region. OBJECTIVE: To present a methodology for estimating the cost of chronic conditions for counties. METHODS: Estimates of the attributable cost of 6 chronic conditions-arthritis, asthma, cancer, cardiovascular disease, diabetes, and depression-from the Centers for Disease Control and Prevention's Chronic Disease Cost Calculator were combined with prevalence rates from the various sources and census data for California counties to estimate the number of cases and costs of each condition. The estimates were adjusted for differences in prices using Medicare geographical adjusters. RESULTS: An estimated $98 billion is currently spent on treating chronic conditions in California. There is significant variation between counties in the percentage of total health care expenditure due to chronic conditions and county size, ranging from a low 32% to a high of 63%. The variations between counties result from differing rates of chronic conditions across age, ethnicity, and gender. CONCLUSIONS: Information on the cost of chronic conditions is important for planning prevention and control efforts. This study demonstrates a method for providing local health departments with estimates of the scope of the problems in their region. Combining the cost estimates with information on current prevention strategies can identify gaps in prevention activities and the prevention measures that promise the greatest return on investment for each county.

US valuation of health outcomes measured using the PROMIS-29.

OBJECTIVES: Health valuation studies enhance economic evaluations of treatments by estimating the value of health-related quality of life (HRQOL). The Patient-Reported Outcomes Measurement Information System (PROMIS) includes a 29-item short-form HRQOL measure, the PROMIS-29. METHODS: To value PROMIS-29 responses on a quality-adjusted life-year scale, we conducted a national survey (N = 7557) using quota sampling based on the US 2010 Census. Based on 541 paired comparisons with over 350 responses each, pair-specific probabilities were incorporated into a weighted least-squared estimator. RESULTS: All losses in HRQOL influenced choice; however, respondents valued losses in physical function, anxiety, depression, sleep, and pain more than those in fatigue and social functioning. CONCLUSIONS: This article introduces a novel approach to valuing HRQOL for economic evaluations using paired comparisons and provides a tool to translate PROMIS-29 responses into quality-adjusted life-years.

Using a discrete choice experiment to inform the design of programs to promote colon cancer screening for vulnerable populations in North Carolina.

BACKGROUND: Screening for colorectal cancer (CRC) is suboptimal, particularly for vulnerable populations. Effective intervention programs are needed to increase screening rates. We used a discrete choice experiment (DCE) to learn about how vulnerable individuals in North Carolina value different aspects of CRC screening programs. METHODS: We enrolled English-speaking adults ages 50-75 at average risk of CRC from rural North Carolina communities with low rates of CRC screening, targeting those with public or no insurance and low incomes. Participants received basic information about CRC screening and potential program features, then completed a 16 task DCE and survey questions that examined preferences for four attributes of screening programs: testing options available; travel time required; money paid for screening or rewards for completing screening; and the portion of the cost of follow-up care paid out of pocket. We used Hierarchical Bayesian methods to calculate individual-level utilities for the 4 attributes' levels and individual-level attribute importance scores. For each individual, the attribute with the highest importance score was considered the most important attribute. Individual utilities were then aggregated to produce mean utilities for each attribute. We also compared DCE-based results with those from direct questions in a post-DCE survey. RESULTS: We enrolled 150 adults. Mean age was 57.8 (range 50-74); 55% were women; 76% White and 19% African-American; 87% annual household income under $30,000; and 51% were uninsured. Individuals preferred shorter travel; rewards or small copayments compared with large copayments; programs that included stool testing as an option; and greater coverage of follow-up costs. Follow-up cost coverage was most frequently found to be the most important attribute from the DCE (47%); followed by test reward/copayment (33%). From the survey, proportion of follow-up costs paid was most frequently cited as most important (42% of participants), followed by testing options (32%). There was moderate agreement (45%) in attribute importance between the DCE and the single question in the post-DCE survey. CONCLUSIONS: Screening test copayments and follow-up care coverage costs are important program characteristics in this vulnerable, rural population.

SARS-CoV-2 infection and long COVID among California farmworkers.

PURPOSE: The purpose of this cross-sectional study was to determine the prevalence of long COVID and identify its clinical manifestations among farmworkers in California. METHODS: We collected data on sociodemographic characteristics, anthropometrics, clinical chemistries and anti-SARS-CoV-2 immunoglobulin G antibodies, self-reported SARS-CoV-2 infection history, and standardized health tests and scales from 297 farmworkers in California between February and July 2022. RESULTS: Most participants were born in Mexico or Central America, had less than a high school diploma, and were overweight or obese. The prevalence of long COVID (defined as self-reported SARS-CoV-2 infection with symptoms >28 days) among farmworkers with a suspected or test-confirmed infection was 61.8%. Participants with long COVID had higher mean [95% CI] body mass index (32.9 [31.6-34.1]) and high-sensitivity C-reactive protein levels (4.8 [3.7, 6.0]) than those with no COVID-19 history (30.5 [29.3-31.7], and 3.3 [2.2, 4.3], respectively). Farmworkers with long COVID also reported greater fatigue, dyspnea, taste and smell problems, and overall poorer mental and physical health, than those with no COVID-19 history. Farmworkers with long COVID had increased odds of functional limitations compared to those with a self-reported SARS-CoV-2 infection with symptoms ≤28 days (OR [95% CI]: 7.46 [3.26, 17.09]). CONCLUSIONS: A significant proportion of farmworkers experience long COVID with persistent symptoms that limit their ability to perform their work. A comprehensive approach that addresses the unique needs and challenges of farmworkers is warranted given this population's high prevalence of long COVID and the essential nature of their work.

Long-term kidney outcomes of semaglutide in obesity and cardiovascular disease in the SELECT trial.

The SELECT trial previously reported a 20% reduction in major adverse cardiovascular events with semaglutide (n = 8,803) versus placebo (n = 8,801) in patients with overweight/obesity and established cardiovascular disease, without diabetes. In the present study, we examined the effect of once-weekly semaglutide 2.4 mg on kidney outcomes in the SELECT trial. The incidence of the pre-specified main composite kidney endpoint (death from kidney disease, initiation of chronic kidney replacement therapy, onset of persistent estimated glomerular filtration rate (eGFR) < 15 ml min-1 1.73 m-2, persistent ≥50% reduction in eGFR or onset of persistent macroalbuminuria) was lower with semaglutide (1.8%) versus placebo (2.2%): hazard ratio (HR) = 0.78; 95% confidence interval (CI) 0.63, 0.96; P = 0.02. The treatment benefit at 104 weeks for eGFR was 0.75 ml min-1 1.73 m-2 (95% CI 0.43, 1.06; P < 0.001) overall and 2.19 ml min-1 1.73 m-2 (95% CI 1.00, 3.38; P < 0.001) in patients with baseline eGFR <60 ml min-1 1.73 m-2. These results suggest a benefit of semaglutide on kidney outcomes in individuals with overweight/obesity, without diabetes.ClinicalTrials.gov identifier: NCT03574597 .

Political views, health literacy, and COVID-19 beliefs and behaviors: A moderated mediation model.

RATIONALE: Mitigating the spread of COVID-19 requires that people understand the need for and engage in protective behaviors. Given the complexity and rapid progression of media information about the pandemic, health literacy could be essential to acquiring the accurate beliefs, concern for societal risks, and appreciation of restrictive policies needed to motivate these behaviors. Yet with the increasingly politicized nature of COVID-related issues in the United States, health literacy could be an asset for those with more liberal views but less so for those with more conservative views. OBJECTIVE: This study tested a hypothesized model proposing that political views moderate the associations of health literacy with COVID-19 protective behaviors as well as the mediational roles of accurate and inaccurate COVID-19 beliefs, concern for society, and governmental control attitudes. METHODS: We surveyed residents in three diverse regions of California in June 2020 (N = 669) and February 2021 (N = 611). Participants completed measures of health literacy, political views, and COVID-19 beliefs and behaviors. RESULTS: Moderated mediational analyses largely supported the proposed model with both samples. Health literacy was associated with more accurate COVID-19 beliefs, less inaccurate COVID-19 beliefs, greater concern for societal risks, more positive attitudes regarding restrictive government control, more protective behavior, less risky behavior, and stronger vaccine intentions; beliefs, concern for society, and governmental control attitudes mediated the health literacy-behavior relationships. As predicted, however, these associations of health literacy with adaptive beliefs, attitudes, and behaviors varied according to political views. The direct and mediated relationships were held for participants with more liberal views and, to a lesser extent, for those with moderate views, but they were weaker or absent for participants with more conservative views. CONCLUSIONS: These findings contribute new evidence of processes linking health literacy with adaptive beliefs, attitudes, and behaviors and how social and political contexts can shape those processes.

The Assessment of Services Promoting Independence and Recovery in Elders Trial (ASPIRE): a pre-planned meta-analysis of three independent randomised controlled trial evaluations of ageing in place initiatives in New Zealand.

INTRODUCTION: intermediate care has been developed to support older people to remain living in their own homes, combining a higher level of support with a rehabilitation focus. Evidence around their effectiveness remains mixed and there is ambiguity around the components. AIMS: to establish the impact of intermediate care on institutional free survival in frail older people referred for needs assessment in New Zealand (NZ). METHODS: pre-planned meta-analysis of three randomised controlled trials with follow-up at 3, 6, 12, 18 and 24 months. A total of 567 older people at risk of permanent institutionalisation as well as their primary informal carer (n = 234) were randomised to either intermediate or usual care. Interventions had common key features of care management, though varied in the use of ongoing care provision. RESULTS: the adjusted hazard ratio for the combined primary outcome of death or residential entry was 31% lower with a 95% confidence interval of (9%, 47%) for the intermediate care initiatives compared with usual care. CONCLUSION: intermediate care utilising a care management approach reduces a frail older person's risk of mortality and permanent institutionalisation.

Communication strategies for enhancing understanding of the behavioral implications of genetic and biomarker tests for disease risk: the role of coherence.

Individuals frequently have difficulty understanding how behavior can reduce genetically-conferred risk for diseases such as colon cancer. With increasing opportunities to purchase genetic tests, communication strategies are needed for presenting information in ways that optimize comprehension and adaptive behavior. Using the Common-Sense Model, we tested the efficacy of a strategy for providing information about the relationships (links) among the physiological processes underlying disease risk and protective action on understanding, protective action motivations, and willingness to purchase tests. We tested the generalizability of the strategy's effects across varying risk levels, for genetic tests versus tests of a non-genetic biomarker, and when using graphic and numeric risk formats. In an internet-based experiment, 749 adults from four countries responded to messages about a hypothetical test for colon cancer risk. Messages varied by Risk-Action Link Information (provision or no provision of information describing how a low-fat diet reduces risk given positive results, indicating presence of a gene fault), Risk Increment (20%, 50%, or 80% risk given positive results), Risk Format (numeric or graphic presentation of risk increments), and Test Type (genetic or enzyme). Providing risk-action link information enhanced beliefs of coherence (understanding how a low-fat diet reduces risk) and response efficacy (low-fat diets effectively reduce risk) and lowered appraisals of anticipated risk of colon cancer given positive results. These effects held across risk increments, risk formats, and test types. For genetic tests, provision of risk-action link information reduced the amount individuals were willing to pay for testing. Brief messages explaining how action can reduce genetic and biomarker-detected risks can promote beliefs motivating protective action. By enhancing understanding of behavioral control, they may reduce the perceived value of genetic risk information.

Gynaecologic cancer patients' needs and experiences of supportive health services in New Zealand.

BACKGROUND AND OBJECTIVES: Psychosocial care across the cancer continuum is a core component of quality gynaecologic cancer services. The purpose of this qualitative study was to identify needs for supportive care in a sample of New Zealand women and to understand to what extent they feel their needs are being met by health services. METHODS: Purposive sampling was used to recruit women (n=28) diagnosed with a gynaecologic cancer. Unstructured interviews were conducted and a thematic analysis was performed. RESULTS: Interviews revealed a range of shared and unique needs and support experiences. Three themes emerged reflecting participants' sense of control, need for validation of the cancer experience and organisation of their care. Findings suggest issues of continuity and coordination of care result in unmet support needs across the continuum of care, but primarily after treatment finishes. CONCLUSION: While broadly consistent with previous results, findings highlight the need for a patient-focused, comprehensive, integrated approach to supportive cancer care encompassing diagnosis, treatment and long-term recovery.

Within a smoking-cessation program, what impact does genetic information on lung cancer need to have to demonstrate cost-effectiveness?

BACKGROUND: Many smoking-cessation programs and pharmaceutical aids demonstrate substantial health gains for a relatively low allocation of resources. Genetic information represents a type of individualized or personal feedback regarding the risk of developing lung cancer, and hence the potential benefits from stopping smoking, may motivate the person to remain smoke-free. The purpose of this study was to explore what the impact of a genetic test needs to have within a typical smoking-cessation program aimed at heavy smokers in order to be cost-effective. METHODS: Two strategies were modelled for a hypothetical cohort of heavy smokers aged 50 years; individuals either received or did not receive a genetic test within the course of a usual smoking-cessation intervention comprising nicotine replacement therapy (NRT) and counselling. A Markov model was constructed using evidence from published randomized controlled trials and meta-analyses for estimates on 12-month quit rates and long-term relapse rates. Epidemiological data were used for estimates on lung cancer risk stratified by time since quitting and smoking patterns. Extensive sensitivity analyses were used to explore parameter uncertainty. RESULTS: The discounted incremental cost per QALY was AU$34,687 (95% CI $12,483, $87,734) over 35 years. At a willingness-to-pay of AU$20,000 per QALY gained, the genetic testing strategy needs to produce a 12-month quit rate of at least 12.4% or a relapse rate 12% lower than NRT and counselling alone for it to be equally cost-effective. The likelihood that adding a genetic test to the usual smoking-cessation intervention is cost-effective was 20.6% however cost-effectiveness ratios were favourable in certain situations (e.g., applied to men only, a 60 year old cohort). CONCLUSIONS: The findings were sensitive to small changes in critical variables such as the 12-month quit rates and relapse rates. As such, the cost-effectiveness of the genetic testing smoking cessation program is uncertain. Further clinical research on smoking-cessation quit and relapse rates following genetic testing is needed to inform its cost-effectiveness.

Cost benefit analysis of amethocaine (Ametop) compared with EMLA for intravenous cannulation in a children's emergency department.

INTRODUCTION: Starship Hospital Children's Emergency Department (CED) uses EMLA for topical anaesthesia during insertion of intravenous cannula (IVC). Amethocaine has recently been shown to offer more effective pain relief and work faster than EMLA, but may be more expensive. AIM: To determine cost implications of introducing topical amethocaine into CED practice. METHODS: Data were obtained from a randomised controlled trial, quality assurance project and an audit of topical anaesthetic use, with economic evaluation performed from the District Health Board perspective in 2007 NZ dollars and Euros. Proportion of children receiving topical anaesthetic cream during insertion of IVC was the primary benefit measure, and cost per child presenting to the department was the primary cost measure. A decision tree model was developed as a baseline, and sensitivity analysis was conducted. Multiple clinical scenarios were modelled, and incremental cost effectiveness ratios calculated compared to the baseline model. RESULTS: Scenarios modelled include providing no topical anaesthesia, using amethocaine exclusively or using a mixture of amethocaine and EMLA. All models are sensitive to the amount of cream applied at triage. The most cost effective model provided EMLA at triage to those most likely to need IVC; then amethocaine to other children later thought to require IVC. This model would cost NZ$1.05 per child, down from NZ$1.47. Proportion of children receiving cream during insertion of IVC would increase from 51% to 64%. The recommended model dominated the current situation. CONCLUSION: Use of amethocaine in a mixed model in the CED could reduce cost and increase the proportion of children receiving topical anaesthetic during insertion of IVC. Trial registration number Australian New Zealand Clinical Trials Register ACTRN12606000409572.

Correction to: The Cost Effectiveness of Genetic Testing for CYP2C19 Variants to Guide Thienopyridine Treatment in Patients with Acute Coronary Syndromes.

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Impact of genetic risk information and type of disease on perceived risk, anticipated affect, and expected consequences of genetic tests.

OBJECTIVE: Genetic tests vary in their prediction of disease occurrence, with some mutations conferring relatively low risk and others indicating near certainty. The authors assessed how increments in absolute risk of disease influence risk perceptions, interest, and expected consequences of genetic tests for diseases of varying severity. DESIGN: Adults (N = 752), recruited from New Zealand, Australia, and the United Kingdom for an online analogue study, were randomly assigned to receive information about a test of genetic risk for diabetes, heart disease, colon cancer, or lung cancer. The lifetime risk varied across conditions by 10% increments, from 20% to 100%. MAIN OUTCOME MEASURES: Participants completed measures of perceived likelihood of disease for individuals with mutations, risk-related affect, interest, and testing consequences. RESULTS: Analyses revealed two increment clusters yielding differences in likelihood perceptions: A "moderate-risk" cluster (20%-70%), and a "high-risk" cluster (80%-100%). Risk increment influenced anticipated worry, feelings of risk, testing-induced distress, and family obligations, with nonlinear patterns including disproportionately high responses for the 50% increment. Risk increment did not alter testing interest or perceived benefits. These patterns of effects held across the four diseases. CONCLUSION: Magnitude of risk from genetic testing has a nonlinear influence on risk-related appraisals and affect but is unrelated to test interest.

Identification of new genetic risk factors for prostate cancer.

There is evidence that a substantial part of genetic predisposition to prostate cancer (PCa) may be due to lower penetrance genes which are found by genome-wide association studies. We have recently conducted such a study and seven new regions of the genome linked to PCa risk have been identified. Three of these loci contain candidate susceptibility genes: MSMB, LMTK2 and KLK2/3. The MSMB and KLK2/3 genes may be useful for PCa screening, and the LMTK2 gene might provide a potential therapeutic target. Together with results from other groups, there are now 23 germline genetic variants which have been reported. These results have the potential to be developed into a genetic test. However, we consider that marketing of tests to the public is premature, as PCa risk can not be evaluated fully at this stage and the appropriate screening protocols need to be developed. Follow-up validation studies, as well as studies to explore the psychological implications of genetic profile testing, will be vital prior to roll out into healthcare.

Multitype Events and the Analysis of Heart Failure Readmissions: Illustration of a New Modeling Approach and Comparison With Familiar Composite End Points.

BACKGROUND: Heart failure-related hospital readmissions and mortality are often outcomes in clinical trials. Patients may experience multiple hospital readmissions over time with mortality acting as a dependent terminal event. Univariate composite end points are used for the analysis of readmissions. We may amend these approaches to include emergency department visits as a further outcome. An alternative multivariate modeling approach that categorizes hospital readmissions and emergency department visits as separate event types is proposed. METHODS AND RESULTS: We seek to compare the modeling approach which handles event types as separate, correlated end points against composites that amalgamate them to create a unified end point. Using a heart failure data set for illustration, a model with random effects for event types is estimated. The time-to-first event, unmatched win-ratio, and days-alive-and-out-of-hospital composites are derived for comparison. The model provides supplementary statistics such as the correlation among event types and yields considerably more power than the competing composite end points. CONCLUSIONS: The effect on individual outcomes is lost when they are intermingled to form a univariate composite. Simultaneously modeling different outcomes provides an alternative or supplementary analysis that may yield greater statistical power and additional insights. Improvements in software have made the multitype events model easier to implement and thus a useful, more efficient option when analyzing heart failure hospital readmissions and emergency department visits.