A systematic review and meta-analysis of synthetic cathinone use and psychosis.

RATIONALE: Synthetic cathinones (SC), commonly referred to as "bath salts", are stimulants resembling the natural alkaloid cathinone found in the khat plant. These substances have the potential to induce serious health risks such as hallucinations, delusions, paranoia and agitation which can lead to substance-induced psychotic disorders. Despite growing concerns, there is a limited understanding of the association between SC consumption and the devolvement of such psychopathologies. METHODS: We conducted a systematic review to investigate the frequency of substance-induced psychotic disorder (SIPD) and associated conditions in humans following synthetic cathinone consumption. We qualitatively and quantitatively analyzed SC exposure cases. RESULTS: A total of 32 studies were included, with a diverse range of demographics, synthetic cathinone types, and consumption patterns. The proportion of individuals developing psychotic symptoms was reported at 0.380 (Random-effects model, 95% CI 0.289 - 0.475). Additionally, the significant heterogeneity in diagnostic approaches limited our ability to provide a precise estimate of prevalence. CONCLUSIONS: Synthetic cathinone consumption is associated with the risk of developing psychotic symptoms as indicated by the prevalence of hallucinations and/or delusions. Due to the lack of information on classifying factors, particularly duration of symptoms, we are unable to conclude synthetic cathinone-induced psychosis. Further research is warranted to elucidate the underlying mechanism linking synthetic cathinone consumption and psychosis. This review underscores the urgency of addressing the growing health risks posed by synthetic cathinone use. Additionally, it highlights the necessity of proper quantification of psychotic symptoms through scales and reporting of classification criteria to accurately diagnose SIPD.

Relationship between drug-induced movement disorders and psychosis in adults living in precarious housing or homelessness.

BACKGROUND: Studies have reported positive associations between drug-induced movement disorders (DIMDs) and symptoms of psychosis in patients with schizophrenia. However, it is not clear which subtypes of symptoms are related to each other, and whether one symptom precedes another. The current report assessed both concurrent and temporal associations between DIMDs and symptoms of psychosis in a community-based sample of homeless individuals. METHODS: Participants were recruited in Vancouver, Canada. Severity of DIMDs and psychosis was rated annually, allowing for the analysis of concurrent associations between DIMDs and Positive and Negative Syndrome Scale (PANSS) five factors. A brief version of the PANSS was rated monthly using five psychotic symptoms, allowing for the analysis of their temporal associations with DIMDs. Mixed-effects linear and logistic regression models were used to assess the associations. RESULTS: 401 participants were included, mean age of 40.7 years (SD = 11.2) and 77.4% male. DIMDs and symptoms of psychosis were differentially associated with each other, in which the presence of parkinsonism was associated with greater negative symptoms, dyskinesia with disorganized symptoms, and akathisia with excited symptoms. The presence of DIMDs of any type was not associated with depressive symptoms. Regarding temporal associations, preceding delusions and unusual thought content were associated with parkinsonism, whereas dyskinesia was associated with subsequent conceptual disorganization. CONCLUSIONS: The current study found significant associations between DIMDs and symptoms of psychosis in individuals living in precarious housing or homelessness. Moreover, there were temporal associations between parkinsonism and psychotic symptoms (delusions or unusual thought content), and the presence of dyskinesia was temporally associated with higher odds of clinically relevant conceptual disorganization.

Perturbational phenotyping of human blood cells reveals genetically determined latent traits associated with subsets of common diseases.

Although genome-wide association studies (GWAS) have successfully linked genetic risk loci to various disorders, identifying underlying cellular biological mechanisms remains challenging due to the complex nature of common diseases. We established a framework using human peripheral blood cells, physical, chemical and pharmacological perturbations, and flow cytometry-based functional readouts to reveal latent cellular processes and performed GWAS based on these evoked traits in up to 2,600 individuals. We identified 119 genomic loci implicating 96 genes associated with these cellular responses and discovered associations between evoked blood phenotypes and subsets of common diseases. We found a population of pro-inflammatory anti-apoptotic neutrophils prevalent in individuals with specific subsets of cardiometabolic disease. Multigenic models based on this trait predicted the risk of developing chronic kidney disease in type 2 diabetes patients. By expanding the phenotypic space for human genetic studies, we could identify variants associated with large effect response differences, stratify patients and efficiently characterize the underlying biology.

Development and Validation of the US Diabetes, Obesity, Cardiovascular Disease Microsimulation (DOC-M) Model: Health Disparity and Economic Impact Model.

BACKGROUND: Few simulation models have incorporated the interplay of diabetes, obesity, and cardiovascular disease (CVD); their upstream lifestyle and biological risk factors; and their downstream effects on health disparities and economic consequences. METHODS: We developed and validated a US Diabetes, Obesity, Cardiovascular Disease Microsimulation (DOC-M) model that incorporates demographic, clinical, and lifestyle risk factors to jointly predict overall and racial-ethnic groups-specific obesity, diabetes, CVD, and cause-specific mortality for the US adult population aged 40 to 79 y at baseline. An individualized health care cost prediction model was further developed and integrated. This model incorporates nationally representative data on baseline demographics, lifestyle, health, and cause-specific mortality; dynamic changes in modifiable risk factors over time; and parameter uncertainty using probabilistic distributions. Validation analyses included assessment of 1) population-level risk calibration and 2) individual-level risk discrimination. To illustrate the application of the DOC-M model, we evaluated the long-term cost-effectiveness of a national produce prescription program. RESULTS: Comparing the 15-y model-predicted population risk of primary outcomes among the 2001-2002 National Health and Nutrition Examination Survey (NHANES) cohort with the observed prevalence from age-matched cross-sectional 2003-2016 NHANES cohorts, calibration performance was strong based on observed-to-expected ratio and calibration plot analysis. In most cases, Brier scores fell below 0.0004, indicating a low overall prediction error. Using the Multi-Ethnic Study of Atherosclerosis cohorts, the c-statistics for assessing individual-level risk discrimination were 0.85 to 0.88 for diabetes, 0.93 to 0.95 for obesity, 0.74 to 0.76 for CVD history, and 0.78 to 0.81 for all-cause mortality, both overall and in three racial-ethnic groups. Open-source code for the model was posted at https://github.com/food-price/DOC-M-Model-Development-and-Validation. CONCLUSIONS: The validated DOC-M model can be used to examine health, equity, and the economic impact of health policies and interventions on behavioral and clinical risk factors for obesity, diabetes, and CVD. HIGHLIGHTS: We developed a novel microsimula'tion model for obesity, diabetes, and CVD, which intersect together and - critically for prevention and treatment interventions - share common lifestyle, biologic, and demographic risk factors.Validation analyses, including assessment of (1) population-level risk calibration and (2) individual-level risk discrimination, showed strong performance across the overall population and three major racial-ethnic groups for 6 outcomes (obesity, diabetes, CVD, and all-cause mortality, CVD- and DM-cause mortality)This paper provides a thorough explanation and documentation of the development and validation process of a novel microsimulation model, along with the open-source code (https://github.com/food-price/ DOCM_validation) for public use, to serve as a guide for future simulation model assessments, validation, and implementation.

Health and Economic Impacts of Implementing Produce Prescription Programs for Diabetes in the United States: A Microsimulation Study.

Background Produce prescription programs, providing free or discounted produce and nutrition education to patients with diet-related conditions within health care systems, have been shown to improve dietary quality and cardiometabolic risk factors. The potential impact of implementing produce prescription programs for patients with diabetes on long-term health gains, costs, and cost-effectiveness in the United States has not been established. Methods and Results We used a validated state-transition microsimulation model (Diabetes, Obesity, Cardiovascular Disease Microsimulation model), populated with national data of eligible individuals from the National Health and Nutrition Examination Survey 2013 to 2018, further incorporating estimated intervention effects and diet-disease effects from meta-analyses, and policy- and health-related costs from published literature. The model estimated that over a lifetime (mean=25 years), implementing produce prescriptions in 6.5 million US adults with both diabetes and food insecurity (lifetime treatment) would prevent 292 000 (95% uncertainty interval, 143 000-440 000) cardiovascular disease events, generate 260 000 (110000-411 000) quality-adjusted life-years, cost $44.3 billion in implementation costs, and save $39.6 billion ($20.5-58.6 billion) in health care costs and $4.8 billion ($1.84-$7.70 billion) in productivity costs. The program was highly cost effective from a health care perspective (incremental cost-effectiveness ratio: $18 100/quality-adjusted life-years) and cost saving from a societal perspective (net savings: $-0.05 billion). The intervention remained cost effective at shorter time horizons of 5 and 10 years. Results were similar in population subgroups by age, race or ethnicity, education, and baseline insurance status. Conclusions Our model suggests that implementing produce prescriptions among US adults with diabetes and food insecurity would generate substantial health gains and be highly cost effective.

Accounting for Nonhealth and Future Costs in Cost-Effectiveness Analysis: Distributional Impacts of a US Cancer Prevention Strategy.

OBJECTIVE: To provide up-to-date and comprehensive US data tables to estimate future net resource use, including nonlabor market production, and examine distributional impacts of including nonhealth and future costs in cost-effectiveness results. METHODS: Using a published US cancer prevention simulation model, the paper evaluated the lifetime cost effectiveness of implementing a 10% excise tax on processed meats across age- and sex-specific population subgroups. The model examined multiple scenarios accounting for cancer-related healthcare expenditure (HCE) only, cancer-related and unrelated background HCE, adding productivity benefits (i.e., patient time, cancer-related productivity loss, and background labor and nonlabor market production), and with nonhealth consumption costs, adjusted for household economies of scale. Additional analyses include using population-average versus age-sex-specific estimates for quantifying production and consumption value, as well as comparing direct model estimation versus postcorrections with Meltzer's approximation for incorporating future resource use. RESULTS: Accounting for nonhealth and future costs impacted cost-effectiveness results across population subgroups, often leading to changes in "cost-saving" determination. Including nonlabor market production had a noticeable impact on estimating future resource use and reduced the bias toward undervaluing productivity among females and older populations. The use of age-sex-specific estimates resulted in less favorable cost-effectiveness results compared with population-average estimates. Meltzer's approximation provided reasonable corrections among the middle-aged population for re-engineering cost-effectiveness ratios from a healthcare sector to a societal perspective. CONCLUSION: With updated US data tables, this paper can help researchers conduct a comprehensive value assessment to reflect net resource use (health and nonhealth resource use minus production value) from a societal perspective.

Movement disorders associated with substance use in adults living in precarious housing or homelessness.

OBJECTIVE: Many individuals living in precarious housing or homelessness have multimorbid illnesses, including substance use, psychiatric, and neurological disorders. Movement disorders (MDs) associated substance use are amongst the poorly studied subtopics of drug-induced MDs. The aim of the present study was, therefore, to determine the proportion affected and severity of different signs of MDs, as well as their associations with substance use in a community-based sample of precariously housed and homeless individuals. METHODS: Participants were recruited from an impoverished urban neighborhood and were assessed for substance dependence and self-reported substance use (alcohol, cannabis, cocaine, methamphetamine, nicotine, and opioids), as well as for the severity of signs of MDs (akathisia, dyskinesia, dystonia, and parkinsonism). Adjusted regression models were used to estimate the associations of the severity of signs with the frequency of substance use over the past 4 weeks and with the baseline diagnosis of substance dependence. RESULTS: The proportion of the sample with clinically relevant signs of MDs in any of the four categories was 18.6% (n = 401), and these participants demonstrated lower levels of functioning than those without signs. Of the different types of substance use, only methamphetamine (its frequency of use and dependence) was significantly associated with greater severity of overall signs of MDs. Frequency of methamphetamine use significantly interacted with age and sex, whereby older female participants exhibited the greatest overall severity with increased methamphetamine use. Of the different signs of MDs, methamphetamine use frequency was positively associated with the severity of trunk/limb dyskinesia and hypokinetic parkinsonism. Relative to no use, concurrent use of antipsychotics demonstrated lower severity of trunk/limb dyskinesia and greater severity of hypokinetic parkinsonism with methamphetamine use, and greater severity of dystonia with cocaine use. CONCLUSIONS: Our study found a high proportion of MDs in a relatively young sample, and their severity was consistently associated with methamphetamine use, moderated by participant demographics and antipsychotic use. These disabling sequelae represent an important and understudied neurological condition that may affect quality of life and will require further study.

What is the cost-effectiveness of menu calorie labelling on reducing obesity-associated cancer burdens? An economic evaluation of a federal policy intervention among 235 million adults in the USA.

OBJECTIVE: To assess the impact of menu calorie labelling on reducing obesity-associated cancer burdens in the USA. DESIGN: Cost-effectiveness analysis using a Markov cohort state-transition model. SETTING: Policy intervention. PARTICIPANTS: A modelled population of 235 million adults aged ≥20 years in 2015-2016. INTERVENTIONS: The impact of menu calorie labelling on reducing 13 obesity-associated cancers among US adults over a lifetime was evaluated for: (1) effects on consumer behaviours; and (2) additional effects on industry reformulation. The model integrated nationally representative demographics, calorie intake from restaurants, cancer statistics and estimates on associations of policy with calorie intake, dietary change with body mass index (BMI) change, BMI with cancer rates, and policy and healthcare costs from published literature. MAIN OUTCOME MEASURES: Averted new cancer cases and cancer deaths and net costs (in 2015 US$) among the total population and demographic subgroups were determined. Incremental cost-effectiveness ratios from societal and healthcare perspectives were assessed and compared with the threshold of US$150 000 per quality-adjusted life year (QALY) gained. Probabilistic sensitivity analyses incorporated uncertainty in input parameters and generated 95% uncertainty intervals (UIs). RESULTS: Considering consumer behaviour alone, this policy was associated with 28 000 (95% UI 16 300 to 39 100) new cancer cases and 16 700 (9610 to 23 600) cancer deaths averted, 111 000 (64 800 to 158 000) QALYs gained, and US$1480 (884 to 2080) million saved in cancer-related medical costs among US adults. The policy was associated with net cost savings of US$1460 (864 to 2060) million and US$1350 (486 to 2260) million from healthcare and societal perspectives, respectively. Additional industry reformulation would substantially increase policy impact. Greater health gains and cost savings were predicted among young adults, Hispanic and non-Hispanic Black individuals. CONCLUSIONS: Study findings suggest that menu calorie labelling is associated with lower obesity-related cancer burdens and reduced healthcare costs. Policymakers may prioritise nutrition policies for cancer prevention in the USA.

Cost-effectiveness Thresholds Used by Study Authors, 1990-2021.

This study examines what study authors consider to be appropriate cost-effectiveness analysis thresholds as reflected in the referenced thresholds in their published cost-effectiveness analyses.

Developing Criteria for Health Economic Quality Evaluation Tool.

OBJECTIVES: Because existing publication guidelines and checklists have limitations when used to assess the quality of cost-effectiveness analysis, we developed a novel quality assessment tool for cost-effectiveness analyses, differentiating methods and reporting quality and incorporating the relative importance of different quality attributes. METHODS: We defined 15 quality domains from a scoping review and identified 72 methods and reporting quality attributes (36 each). After designing a best-worst scaling survey, we fielded an online survey to researchers and practitioners to estimate the relative importance of the attributes in February 2021. We analyzed the survey data using a sequential conditional logit model. The final tool included 48 quality attributes deemed most important for assessing methods and reporting quality (24 each), accompanied by a free and web-based scoring system. RESULTS: A total of 524 participants completed the methodology section, and 372 completed both methodology and reporting sections. Quality attributes pertaining to the "modeling" and "data inputs and evidence synthesis" domains were deemed most important for methods quality, including "structure of the model reflects the underlying condition and intervention's impact" and "model validation is conducted." Quality attributes pertaining to "modeling" and "Intervention/comparator(s)" domains were considered most important for reporting quality, including "model descriptions are detailed enough for replication." Despite its growing prominence, "equity considerations" were not deemed as important as other quality attributes. CONCLUSIONS: The Criteria for Health Economic Quality Evaluation tool allows users to differentiate methods and reporting as well as quantifies the relative importance of quality attributes. Alongside other considerations, it could help assess and improve the quality of cost-effectiveness evidence to inform value-based decisions.

Cannabidiol-associated hepatotoxicity: A systematic review and meta-analysis.

BACKGROUND: Findings of liver enzyme elevations in recent cannabidiol studies have raised concerns over liver safety. This study aimed to determine the association between cannabidiol use, liver enzyme elevation, and drug-induced liver injury (DILI). METHODS: In this systematic review and meta-analysis, a search of EMBASE, CENTRAL, CINAHL, Clinicaltrials.gov, Medline, medRxiv, and Web of Science of records up to February 2022 was conducted. Clinical trials initiating daily cannabidiol treatment with serial liver enzyme measures were included. The proportion of liver enzyme elevations and DILI were independently extracted from published reports. Pooled proportions and probability meta-analyses were conducted. RESULTS: Cannabidiol use was associated with an increased probability of liver enzyme elevation (N = 12 trials, n = 1229; OR = 5.85 95% CI = 3.84-8.92, p < 0.001) and DILI (N = 12 trials, n = 1229; OR = 4.82 95% CI = 2.46-9.45, p < 0.001) compared to placebo controls. In participants taking cannabidiol (N = 28 trials, n = 1533), the pooled proportion of liver enzyme elevations was 0.074 (95% CI 0.0448-0.1212), and DILI was 0.0296 (95% CI 0.0136-0.0631). High-dose CBD (≥1000 mg/day or ≥20 mg/kg/day) and concomitant antiepileptic drug use were identified as risk factors. No cases were reported in adults using cannabidiol doses <300 mg/day. No cases of severe DILI were reported. CONCLUSIONS: Cannabidiol-associated liver enzyme elevations and DILI meet the criteria of common adverse drug events. Clinicians are encouraged to screen for cannabidiol use and monitor liver function in patients at increased risk.

Endothelial mechanisms for inactivation of inflammation-induced hyperpermeability.

Microvascular hyperpermeability is a hallmark of inflammation. Many negative effects of hyperpermeability are due to its persistence beyond what is required for preserving organ function. Therefore, we propose that targeted therapeutic approaches focusing on mechanisms that terminate hyperpermeability would avoid the negative effects of prolonged hyperpermeability while retaining its short-term beneficial effects. We tested the hypothesis that inflammatory agonist signaling leads to hyperpermeability and initiates a delayed cascade of cAMP-dependent pathways that causes inactivation of hyperpermeability. We applied platelet-activating factor (PAF) and vascular endothelial growth factor (VEGF) to induce hyperpermeability. We used an Epac1 agonist to selectively stimulate exchange protein activated by cAMP (Epac1) and promote inactivation of hyperpermeability. Stimulation of Epac1 inactivated agonist-induced hyperpermeability in the mouse cremaster muscle and in human microvascular endothelial cells (HMVECs). PAF induced nitric oxide (NO) production and hyperpermeability within 1 min and NO-dependent increased cAMP concentration in about 15-20 min in HMVECs. PAF triggered phosphorylation of vasodilator-stimulated phosphoprotein (VASP) in a NO-dependent manner. Epac1 stimulation promoted cytosol-to-membrane eNOS translocation in HMVECs and in myocardial microvascular endothelial (MyEnd) cells from wild-type mice, but not in MyEnd cells from VASP knockout mice. We demonstrate that PAF and VEGF cause hyperpermeability and stimulate the cAMP/Epac1 pathway to inactivate agonist-induced endothelial/microvascular hyperpermeability. Inactivation involves VASP-assisted translocation of eNOS from the cytosol to the endothelial cell membrane. We demonstrate that hyperpermeability is a self-limiting process, whose timed inactivation is an intrinsic property of the microvascular endothelium that maintains vascular homeostasis in response to inflammatory conditions.NEW & NOTEWORTHY Termination of microvascular hyperpermeability has been so far accepted to be a passive result of the removal of the applied proinflammatory agonists. We provide in vivo and in vitro evidence that 1) inactivation of hyperpermeability is an actively regulated process, 2) proinflammatory agonists (PAF and VEGF) stimulate microvascular hyperpermeability and initiate endothelial mechanisms that terminate hyperpermeability, and 3) eNOS location-translocation is critical in the activation-inactivation cascade of endothelial hyperpermeability.

Ejaculatory Preserving Holmium Laser Enucleation of the Median Lobe: Preserving Sexual Function While Improving Urinary Outcomes.

OBJECTIVE: To evaluate perioperative outcomes related to sexual and urinary function in patients who underwent a holmium laser enucleation of the prostate (HoLEP) with selective laser enucleation of the median lobe. MATERIALS AND METHODS: We retrospectively reviewed the first 450 HoLEP cases by a single surgeon from April 2019 to March 2022. Fifty-five patients with intravesical-prostatic protrusion or high bladder neck without obstructing lateral lobes underwent selective enucleation of the median lobe of the prostate. Patients were asked to comment on whether they had retrograde ejaculation during their follow-up appointment. Urinary function was assessed using the American Urological Association Symptom Score and subjective evaluation of urinary incontinence. RESULTS: Median age of the cohort was 65 years (range: 44-91). Compared to preoperative, there was significant improvement in mean postoperative American Urological Association Symptom Score (22.5 vs 6.9, P < .001), mean postoperative quality of life scores (4 vs 1.2, P < .001), and mean postoperative post void residual volumes (244.1 vs 69.3 cc, P < .001). No patients reported stress urinary incontinence. Of the 55 patients who underwent selective enucleation of the median lobe, 40 were sexually active. Of those men, 35 reported normal ejaculation, 3 had retrograde ejaculation that was unchanged from pre-op, and 2 had new ejaculatory dysfunction. CONCLUSION: In this case series of selective laser enucleation of the median lobe, urinary function significantly improved in short-term follow-up with preservation of ejaculation in approximately 90% of men.

Resident Burnout and Well-being in Otolaryngology and Other Surgical Specialties: Strategies for Change.

OBJECTIVE: To perform a literature review on burnout prevalence, factors that affect burnout and well-being, and solutions to address burnout in otolaryngology-head and neck surgery (OTO-HNS) residents and residents in other surgical specialties. DATA SOURCES: Ovid Medline, Embase, and article reference lists. REVIEW METHODS: A literature search was performed to identify articles on resident burnout, distress, wellness, well-being, and quality of life. Articles deemed outside the scope of the current work were excluded. Search was limited to the past 5 years. CONCLUSIONS: Moderate to high burnout has been reported in 35% to 86% of OTO-HNS residents. Among other surgical specialties, resident burnout ranges between 58% and 66% in plastics, 11% and 67% in neurosurgery, 38% and 68% in urology, and 31% and 56% in orthopedics. Highest burnout rates were seen in postgraduate year 2 residents. Factors significantly associated with burnout included hours worked (>80 h/wk), level of autonomy, exercise, and program support. Reported resident work hours have steadily increased: 8% of OTO-HNS residents in 2005 vs 26% in 2019 reported averaging >80 h/wk. Practical implications of resident burnout include decreased empathy, moral distress and injury, poor health, decreased quality of life, increased attrition, decreased desire to pursue fellowship, and increased likelihood of medical errors. Structured mentorship programs, wellness initiatives, and increased ancillary support have been associated with lower burnout rates and improvements in resident well-being across specialties. IMPLICATIONS FOR PRACTICE: Addressing burnout, which is prevalent in OTO-HNS residents, is critical to improving patient care and physician well-being. Surgical specialties can share strategies to effectively address resident burnout through institutional interventions, which can be essential quality improvement initiatives, to promote well-being.

Low-Value Prostate-Specific Antigen Test for Prostate Cancer Screening and Subsequent Health Care Utilization and Spending.

Importance: Delivering low-value care can lead to unnecessary follow-up services and associated costs, and such care cascades have not been well examined in common clinical scenarios. Objective: To evaluate the utilization and costs of care cascades of prostate-specific antigen (PSA) tests for prostate cancer screening, as the routine use of which among asymptomatic men aged 70 years and older is discouraged by multiple guidelines. Design, Setting, and Participants: This cross-sectional study included men aged 70 years and older without preexisting prostate conditions enrolled in a Medicare Advantage plan during January 2016 to December 2018 with at least 1 outpatient visit. Medical billing claims data from the deidentified OptumLabs Data Warehouse were used. Data analysis was conducted from September 2020 to August 2021. Exposures: At least 1 claim for low-value PSA tests for prostate cancer screening during the observation period. Main Outcomes and Measures: Utilization of and spending on low-value PSA cancer screening and associated care cascades and the difference in overall health care utilization and spending among individuals receiving low-value PSA cancer screening vs those who did not, adjusting for observed characteristics using inverse probability of treatment weighting. Results: Of 995 442 men (mean [SD] age, 78.0 [5.6] years) aged 70 years or older in a Medicare Advantage plan included in this study, 384 058 (38.6%) received a low-value PSA cancer screening. Utilization increased for each subsequent cohort from 2016 to 2018 (49 802 of 168 951 [29.4%] to 134 404 of 349 228 [38.5%] to 199 852 of 477 203 [41.9%]). Among those receiving initial low-value PSA cancer screening, 241 188 of 384 058 (62.8%) received at least 1 follow-up service. Repeated PSA testing was the most common, and 27 268 (7.1%) incurred high-cost follow-up services, such as imaging, radiation therapy, and prostatectomy. Utilization and spending associated with care cascades also increased from 2016 to 2018. For every $1 spent on a low-value PSA cancer screening, an additional $6 was spent on care cascades. Despite avoidable care cascades, individuals who received low-value PSA cancer screening were not associated with increased overall health care utilization and spending during the 1-year follow-up period compared with an unscreened population. Conclusions and Relevance: In this cross-sectional study, low-value PSA tests for prostate cancer screening remained prevalent among Medicare Advantage plan enrollees and were associated with unnecessary expenditures due to avoidable care cascades. Innovative efforts from clinicians and policy makers, such as payment reforms, to reduce initial low-value care and avoidable care cascades are warranted to decrease harm, enhance equity, and improve health care efficiency.

State-Level Variation In Low-Value Care For Commercially Insured And Medicare Advantage Populations.

Low-value care is a major source of health care inefficiency in the US. Our analysis of 2009-19 administrative claims data from OptumLabs Data Warehouse found that low-value care and associated spending remain prevalent among commercially insured and Medicare Advantage enrollees. The aggregated prevalence of twenty-three low-value services was 1,920 per 100,000 eligible enrollees, which amounted to $3.7 billion in wasteful expenditures during the study period. State-level variation in spending was greater than variation in utilization, and much of the variation in spending was driven by differences in average procedure prices. If the average price for twenty-three low-value services among the top ten states in spending were set to the national average, their spending would decrease by 19.8 percent (from $735,000 to $590,000 per 100,000 eligible enrollees). State-level actions to improve the routine measurement and reporting of low-value care could identify sources of variation and help design state-specific policies that lead to better patient-centered outcomes, enhanced equity, and more efficient spending.

Effect of the 2012 US Preventive Services Task Force Recommendations on Prostate-Specific Antigen Screening in a Medicare Advantage Population.

BACKGROUND: In 2012, the US Preventive Service Task Force revised its recommendations for prostate-specific antigen (PSA) screening from "insufficient evidence" to "do not recommend" for men aged 70-74 while maintaining "do not recommend" for men aged 75+. METHODS: Using the difference-in-difference approach, we evaluated whether the rate of change in the use of low-value PSA screening differed between the control group (men aged 75+, N=7,856,204 person-years) and the intervention group (men aged 70-74, N=5,329,192 person-years) enrolling in the Medicare Advantage plan without a history of prostate cancer within the OptumLabs Data Warehouse claims data (2009-2019). A generalized estimating equation logistic model was specified with independent variables: an intervention group indicator, a pre- and post-period (after 2012 Q2) indicator, index time, and interaction terms. We assumed a 12-month dissemination period. RESULTS: Before the revised recommendation in 2012, the trends did not significantly differ between the 2 age groups with the odds of receiving PSA screening decreasing by 1.2% (95% confidence interval [1.0, 1.4%]) per quarter. However, the odds of receiving PSA screening increased by 3.0% [2.8, 3.2%] per quarter across both groups since the revision. There was no significant additional change in the trend for those aged 70-74 (0.1% [-0.2, 0.5%]). CONCLUSIONS: Although the 2012 US Preventive Service Task Force's recommendations were expected to only change behaviors among men aged 70-74, our analysis found that men aged 70-74 and aged 75+ exhibited similar trends from 2009 to 2019, including the increased use of low-value PSA screening since 2016. Multifaceted efforts to discourage low-value PSA screening would be important for a sustained impact.