Statins as an adjuvant therapy for patients with schizophrenia: An up-to-date systematic review and meta-analysis.

BACKGROUND: Evidence suggests that inflammatory processes play a role in the pathophysiology of schizophrenia. Statins exert anti-inflammatory and antioxidant effects and may be effective in improving the symptoms of schizophrenia. This study explored whether statins, as an adjunctive therapy, can alleviate the symptoms of schizophrenia. METHODS: PubMed, EMBASE, and the Cochrane Library were searched for articles published up to March 2023. The risk-of-bias tool for randomized trials was used to assess study quality. Two researchers independently assessed the risks of bias and extracted data. Pooled data on Positive and Negative Syndrome Scale (PANSS) scores were analyzed. A random-effects model was employed to calculate pooled effect sizes. Statistical heterogeneity across studies was assessed using the I2 statistic. All analyses were performed using RevMan5 and Comprehensive Meta-Analysis software. RESULTS: Nine trials enrolling 533 patients in total were included. Add-on statin therapy was found to be associated with a significantly better total PANSS score [standardized mean difference (SMD) = -0.42, 95% confidence interval (CI) -0.75 to -0.09, I2 = 72%; P = 0.01] and PANSS negative subscale score (SMD = -0.26, 95% CI -0.45 to -0.07, I2 = 0%; P = 0.009) in comparison with placebo. However, add-on statin therapy did not appear to improve scores for the PANSS positive and general subscales at the study-defined endpoint (6-24 weeks). CONCLUSIONS: Our meta-analysis indicates that adjunctive statin therapy may confer benefits in ameliorating PANSS negative and total scores. It needs more solid data to confirm the results are related to clinical improvement and functioning.

Outcome Evaluation of a Public Health Intervention on Cardiovascular Disease (CVD) Prevention Among Women Aged 40-64 with Low Incomes in Nebraska.

OBJECTIVES: To evaluate the effectiveness of the program interventions on cardiovascular disease in Nebraska women who are low income and have no health insurance. DESIGN: This evaluation used pre- and post-comparison approach. Paired t test and McNemar's test were used to examine the changes after the program interventions. PARTICIPANTS: Nebraska women aged 40 to 64 years, without health insurance, and with household incomes up to 225% Federal Poverty Level. SETTING AND INTERVENTION: A network of community-clinical linkages in which medical providers provided preventive screening services and risk reduction counseling in clinical settings and community health workers provided lifestyle interventions in community settings either over the phone or in person. MAIN OUTCOME MEASURE: The data included weight, blood pressure measures, self-blood pressure monitoring and management, total cholesterol, fasting glucose or A1C, smoking status, nutrition, and physical activities. RESULTS: Among 2649 participants, 82.2% were overweight, 50.3% had hypertension, 52.7% had high cholesterol, 20.7% had diabetes, 22.5% were current smokers, and 56.4% had more than 1 risk factor. A total of 1312 participants (57.3%) participated in at least 1 lifestyle intervention session, and among them, 65.8% completed at least 3 sessions. Paired t test and McNemar's test indicated significant improvement in hypertension control and self-management; a significant amount of weight loss with 24.1% losing at least 5 pounds; and an increase in healthy eating and physical activity. CONCLUSIONS: These participants benefited from the Nebraska program. Utilizing a statewide clinical network and participating in lifestyle interventions through local health departments, participants improved some chronic health conditions and decreased their risks of developing cardiovascular diseases.

Multimorbidity prevalence and health outcome prediction: assessing the impact of lookback periods, disease count, and definition criteria in health administrative data at the population-based level.

BACKGROUND: Health administrative databases play a crucial role in population-level multimorbidity surveillance. Determining the appropriate retrospective or lookback period (LP) for observing prevalent and newly diagnosed diseases in administrative data presents challenge in estimating multimorbidity prevalence and predicting health outcome. The aim of this population-based study was to assess the impact of LP on multimorbidity prevalence and health outcomes prediction across three multimorbidity definitions, three lists of diseases used for multimorbidity assessment, and six health outcomes. METHODS: We conducted a population-based study including all individuals ages > 65 years on April 1st, 2019, in Québec, Canada. We considered three lists of diseases labeled according to the number of chronic conditions it considered: (1) L60 included 60 chronic conditions from the International Classification of Diseases (ICD); (2) L20 included a core of 20 chronic conditions; and (3) L31 included 31 chronic conditions from the Charlson and Elixhauser indices. For each list, we: (1) measured multimorbidity prevalence for three multimorbidity definitions (at least two [MM2+], three [MM3+] or four (MM4+) chronic conditions); and (2) evaluated capacity (c-statistic) to predict 1-year outcomes (mortality, hospitalisation, polypharmacy, and general practitioner, specialist, or emergency department visits) using LPs ranging from 1 to 20 years. RESULTS: Increase in multimorbidity prevalence decelerated after 5-10 years (e.g., MM2+, L31: LP = 1y: 14%, LP = 10y: 58%, LP = 20y: 69%). Within the 5-10 years LP range, predictive performance was better for L20 than L60 (e.g., LP = 7y, mortality, MM3+: L20 [0.798;95%CI:0.797-0.800] vs. L60 [0.779; 95%CI:0.777-0.781]) and typically better for MM3 + and MM4 + definitions (e.g., LP = 7y, mortality, L60: MM4+ [0.788;95%CI:0.786-0.790] vs. MM2+ [0.768;95%CI:0.766-0.770]). CONCLUSIONS: In our databases, ten years of data was required for stable estimation of multimorbidity prevalence. Within that range, the L20 and multimorbidity definitions MM3 + or MM4 + reached maximal predictive performance.

Composite outcome measures in high-impact critical care randomised controlled trials: a systematic review.

BACKGROUND: The use of composite outcome measures (COM) in clinical trials is increasing. Whilst their use is associated with benefits, several limitations have been highlighted and there is limited literature exploring their use within critical care. The primary aim of this study was to evaluate the use of COM in high-impact critical care trials, and compare study parameters (including sample size, statistical significance, and consistency of effect estimates) in trials using composite versus non-composite outcomes. METHODS: A systematic review of 16 high-impact journals was conducted. Randomised controlled trials published between 2012 and 2022 reporting a patient important outcome and involving critical care patients, were included. RESULTS: 8271 trials were screened, and 194 included. 39.1% of all trials used a COM and this increased over time. Of those using a COM, only 52.6% explicitly described the outcome as composite. The median number of components was 2 (IQR 2-3). Trials using a COM recruited fewer participants (409 (198.8-851.5) vs 584 (300-1566, p = 0.004), and their use was not associated with increased rates of statistical significance (19.7% vs 17.8%, p = 0.380). Predicted effect sizes were overestimated in all but 6 trials. For studies using a COM the effect estimates were consistent across all components in 43.4% of trials. 93% of COM included components that were not patient important. CONCLUSIONS: COM are increasingly used in critical care trials; however effect estimates are frequently inconsistent across COM components confounding outcome interpretations. The use of COM was associated with smaller sample sizes, and no increased likelihood of statistically significant results. Many of the limitations inherent to the use of COM are relevant to critical care research.

Outcomes following hip fracture surgery in adults with schizophrenia in Ontario, Canada: A 10-year population-based retrospective cohort study.

OBJECTIVE: To understand immediate and long-term outcomes following hip fracture surgery in adults with schizophrenia. METHODS: Retrospective population-based cohort study leveraging health administrative databases from Ontario, Canada. Individuals aged 40-105 years with hip fracture surgery between April 1, 2009 and March 31, 2019 were included. Schizophrenia was ascertained using a validated algorithm. Outcomes were: 30-day mortality; 30-day readmission; 1-year survival; and subsequent hip fracture within 2 years. Analyses incorporated Generalized Estimating Equation models, Kaplan-Meier curves, and Fine-Gray competing risk models. RESULTS: In this cohort study of 98,126 surgically managed hip fracture patients, the median [IQR] age was 83[75-89] years, 69.2% were women, and 3700(3.8%) had schizophrenia. In Fine-Gray models, schizophrenia was associated with subsequent hip fracture (sdRH, 1.29; 95% CI, 1.09-1.53), with male patients with schizophrenia sustaining a refracture 50 days earlier. In age- and sex-adjusted GEE models, schizophrenia was associated with 30-day mortality (OR, 1.31; 95% CI, 1.12-1.54) and readmissions (OR, 1.40; 95% CI, 1.25-1.56). Kaplan-Meier survival curves suggested that patients with schizophrenia were less likely to be alive at 1-year. CONCLUSIONS: Study highlights the susceptibility of hip fracture patients with schizophrenia to worse outcomes, including refracture, with implications for understanding modifiable processes of care to optimize their recovery.

The association between quality of therapeutic alliance and treatment outcomes in teletherapy: A systematic review and meta-analysis.

OBJECTIVE: The strength of the therapeutic alliance is widely understood to impact treatment outcomes, however, the alliance-outcome relationship in teletherapy has remained relatively unexamined. The aim of this meta-analysis is to systematically summarize the relationship between therapeutic alliance and treatment outcomes in teletherapy with adult patients conducted via videoconferencing or telephone. METHODS: We conducted a systematic search of the databases PsycINFO, PsycARTICLES, ProQuest Dissertation Databases, EMBASE, The Cochrane Library, MEDLINE, Google Scholar, and PubMed for studies published before June 26, 2023. We identified 31 studies with 34 independent samples (4862 participants). RESULTS: The average weighted effect size was 0.15, p = .001, 95% CI [0.07, 0.24], k = 34. reflecting a small effect of therapeutic alliance on mental health outcomes. There was significant heterogeneity in the effect sizes, which was driven by between-study differences in the alliance-outcome correlation. The alliance-outcome effect was larger when the alliance was measured late in treatment and when the outcome was measured from the patient's perspective. CONCLUSION: Very few teletherapy treatment studies were identified that initially reported on alliance-outcome associations, underlining that this is an under-researched area. The association between alliance-teletherapy outcomes in this meta-analysis was small but significant, and somewhat weaker than the alliance-outcome associations reported for in-person treatments and other online interventions. This might indicate that there are other processes at play in teletherapy that explain variance of treatment outcomes, or that the therapist (and the relationship) has less influence on the treatment outcomes than in in-person therapy.

Study found increasing use of core outcome sets in Cochrane systematic reviews and identified facilitators and barriers.

OBJECTIVES: In 2019, only 7% of Cochrane systematic reviews (SRs) cited a core outcome set (COS) in relation to choosing outcomes, even though a relevant COS existed but was not mentioned (or cited) for a further 29% of SRs. Our objectives for the current work were to (1) examine the extent to which authors are currently considering COS to inform outcome choice in Cochrane protocols and completed SRs, and (2) understand author facilitators and barriers to using COS. STUDY DESIGN AND SETTING: We examined all completed Cochrane SRs published in the last 3 months of 2022 and all Cochrane protocols published in 2022 for the extent to which they: (a) cited a COS, (b) searched for COS, (c) used outcomes from existing COS, and (d) reported outcome inconsistency among included studies and/or noted the need for COS. One investigator extracted information; a second extractor verified all information, discussing discrepancies to achieve consensus. We then conducted an online survey of authors of the included SRs to assess awareness of COS and identify facilitators and barriers to using COS to inform outcome choice. RESULTS: Objective 1: We included 294 SRs of interventions (84 completed SRs and 210 published SR protocols), of which 13% cited specific COS and 5% did not cite but mentioned searching for COS. A median of 83% of core outcomes from cited COS (interquartile range [IQR] 57%-100%) were included in the corresponding SR. We identified a relevant COS for 39% of SRs that did not cite a COS. A median of 50% of core outcomes from noncited COS (IQR 35%-72%) were included in the corresponding SR. Objective 2: Authors of 236 (80%) of the 294 eligible SRs completed our survey. Seventy-seven percent of authors noted being aware of COS before the survey. Fifty-five percent of authors who did not cite COS but were aware of them reported searching for a COS. The most reported facilitators of using COS were author awareness of the existence of COS (59%), author positive perceptions of COS (52%), and recommendation in the Cochrane Handbook regarding COS use (48%). The most reported barriers related to matching of the scope of the COS and the SR: the COS target population was too narrow/broad relative to the SR population (29%) or the COS target intervention was too narrow/broad relative to the SR intervention (21%). Most authors (87%) mentioned that they would consider incorporating missing core outcomes in the SR/update. CONCLUSION: Since 2019, there is increasing consideration and awareness of COS when choosing outcomes for Cochrane SRs of interventions, but uptake remains low and can be improved further. Use of COS in SRs is important to improve outcome standardization, reduce research waste, and improve evidence syntheses of the relevant effects of interventions across health research.

Time points of outcome are often neglected in acupuncture meta-analyses: a methodological survey.

OBJECTIVES: To systematically understand the transparency of outcome measurement time point reporting in meta-analyses of acupuncture. STUDY DESIGN AND SETTING: We searched for meta-analyses of acupuncture published between 2013 and 2022 in PubMed, Embase, and Cochrane Library. A team of method-trained investigators screened studies for eligibility and collected data using pilot-tested standardized questionnaires. We documented in detail the reporting of outcome measurement time points in acupuncture meta-analyses. RESULTS: A total of 224 acupuncture meta-analyses were included. Of these, 98 (43.8%) studies did not specify the time points of primary outcome. Among 126 (56.3%) meta-analyses which reported the time points of primary outcome, only 22 (17.5%) meta-analyses specified time points in corresponding protocol. Among 48 (38.1%) meta-analyses that estimated treatment effects of multiple time points, 11 (22.9%) meta-analyses used inappropriate meta-analysis method (subgroup analysis) to pool effect size, and none of the meta-analyses used advanced methods for pooling effect sizes at different time points. CONCLUSION: Transparency in reporting outcome time points for acupuncture meta-analyses and appropriate methods to pool the effect size of multiple time points were lacking. For future systematic reviews, the transparency of outcome measurement time points should be emphasized in the protocols and final reports. Furthermore, advanced methods should be considered for pooling effect sizes at multiple time points.

Limited English Proficiency and Outcomes in the Intensive Care Unit: An Integrated Review.

INTRODUCTION: Language barriers place patients at risk of substandard care. Hospitalized patients with limited English proficiency (LEP) face unique challenges, especially in the intensive care unit (ICU). The purpose of this review is to critique and synthesize quantitative evidence on LEP and ICU outcomes. METHODOLOGY: Quantitative studies published in English between 1999 and 2022 were queried using intentional terminology. RESULTS: Searches yielded 138 results, with 12 meeting inclusion criteria. The analysis resulted in the extrapolation of five themes pertinent to outcomes of ICU patients or families with LEP: (a) knowledge deficit relating to conditions and care; (b) lack of language-appropriate care; (c) alienation from care process; (d) decreased confidence and ownership of care; and (e) relationship to clinical quality indicators. DISCUSSION: Outcomes associated with LEP were largely negative and revealed unmet needs for ICU patients with LEP. More research is needed to improve linguistically and culturally congruent care in the ICU.

Representation of published core outcome sets in practice guidelines.

OBJECTIVES: A core outcome set (COS) is an agreed standardized set of outcomes that should be measured and reported, as a minimum, in specific areas of health or health care. A COS is developed through a consensus process to ensure health care outcomes to be measured are relevant to decision-makers, including patients and health-care professionals. Use of COS in guideline development is likely to increase the relevance of the guideline to those decision-makers. Previous work has looked at the uptake of COS in trials, systematic reviews, health technology assessments and regulatory guidance but to date there has been no evaluation of the use of COS in practice guideline development. The objective of this study was to investigate the representation of core outcomes in a set of international practice guidelines. STUDY DESIGN AND SETTING: We searched for clinical guidelines relevant to ten high-quality COS (with focus on the United Kingdom, Germany, China, India, Canada, Denmark, United States and World Health Organisation). We matched scope between COS and guideline in terms of condition, population and outcome. We calculated the proportion of guidelines mentioning or referencing COS and the proportion of COS domains specifically, or generally, matching to outcomes specified in each guideline populations, interventions, comparators and outcome (PICO) statement. RESULTS: We found 38 guidelines that contained 170 PICO statements matching the scope of the ten COS and of sufficient quality to allow data extraction. None of the guidelines reviewed explicitly mentioned or referenced the relevant COS. The median (range) of the proportion of core outcomes covered either specifically or generally by the guideline PICO was 30% (0%-100%). CONCLUSION: There is no evidence that COS are being used routinely to inform the guideline development process, and concordance between outcomes in published guidelines and those in COS is limited. Further work is warranted to explore barriers and facilitators in the use of COS when developing clinical guidelines.

Hospital variation of outcomes in status epilepticus.

OBJECTIVE: Understanding factors driving variation in status epilepticus outcomes would be critical to improve care. We evaluated the degree to which patient and hospital characteristics explained hospital-to-hospital variability in intubation and postacute outcomes. METHODS: This was a retrospective cohort study of Medicare beneficiaries admitted with status epilepticus between 2009 and 2019. Outcomes included intubation, discharge to a facility, and 30- and 90-day readmissions and mortality. Multilevel models calculated percent variation in each outcome due to hospital-to-hospital differences. RESULTS: We included 29 150 beneficiaries. The median age was 68 years (interquartile range [IQR] = 57-78), and 18 084 (62%) were eligible for Medicare due to disability. The median (IQR) percentages of each outcome across hospitals were: 30-day mortality 25% (0%-38%), any 30-day readmission 14% (0%-25%), 30-day status epilepticus readmission 0% (0%-3%), 30-day facility stay 40% (25%-53%), and intubation 46% (20%-61%). However, after accounting for many hospitals with small sample size, hospital-to-hospital differences accounted for 2%-6% of variation in all unadjusted outcomes, and approximately 1%-5% (maximally 8% for 30-day readmission for status epilepticus) after adjusting for patient, hospitalization, and/or hospital characteristics. Although many characteristics significantly predicted outcomes, the largest effect size was cardiac arrest predicting death (odds ratio = 10.1, 95% confidence interval = 8.8-11.7), whereas hospital characteristics (e.g., staffing, accreditation, volume, setting, services) all had lesser effects. SIGNIFICANCE: Hospital-to-hospital variation explained little variation in studied outcomes. Rather, certain patient characteristics (e.g., cardiac arrest) had greater effects. Interventions to improve outcomes after status epilepticus may be better focused on individual or prehospital factors, rather than at the inpatient systems level.

Substance use outcomes from the Child/Adolescent Anxiety Multimodal Extended Long-term Study (CAMELS).

BACKGROUND: Substance use problems and anxiety disorders are both highly prevalent and frequently cooccur in youth. The present study examined the benefits of successful anxiety treatment at 3-12 years after treatment completion on substance use outcomes (i.e. diagnoses and lifetime expected use). METHODS: The sample was from the Child/Adolescent Anxiety Multimodal Extended Long-term Study (CAMELS), a naturalistic follow-up study to the Child/Adolescent Anxiety Multimodal Study (CAMS) which randomized youth to cognitive behavioral therapy (CBT; Coping cat), medication (sertraline), their combination, or pill placebo. The first CAMELS visit occurred an average of 6.5 years following CAMS randomization. Participants were 319 youth (65.4% of the CAMS sample), aged 7-17 years at CAMS baseline assessment with a mean age of 17.6 years (range: 11-26 years) at the time of the first CAMELS follow-up. Substance use outcomes included diagnoses as well as lifetime substance use (i.e. alcohol and tobacco use). RESULTS: Eleven of 319 (3.4%) CAMELS participants were diagnosed with a substance use disorder at the initial follow-up visit. When compared to the population lifetime rate of 11.4%, the rate of diagnoses in the posttreated sample was significantly lower. Additionally, rates of lifetime alcohol use were lower than population rates at the initial and final follow-up visits. Rates of lifetime tobacco use were similarly lower than lifetime population rates at the initial visit (driven by significantly lower rates in the CBT treatment condition), but higher by the final visit. Furthermore, treatment remission (but not treatment response) was associated with a lower rate of substance use diagnoses at the initial follow-up visit, although rates of lifetime alcohol and tobacco use did not differ by treatment outcome. CONCLUSIONS: Anxiety treatments confer a beneficial impact on problematic substance use (i.e. diagnoses) as well as on expected substance use (i.e. alcohol and tobacco use) for on average, a period of 6.5 years.

Predicting treatment response using machine learning: A registered report.

OBJECTIVE: Previous research on psychotherapy treatment response has mainly focused on outpatients or clinical trial data which may have low ecological validity regarding naturalistic inpatient samples. To reduce treatment failures by proactively screening for patients at risk of low treatment response, gain more knowledge about risk factors and to evaluate treatments, accurate insights about predictors of treatment response in naturalistic inpatient samples are needed. METHODS: We compared the performance of different machine learning algorithms in predicting treatment response, operationalized as a substantial reduction in symptom severity as expressed in the Patient Health Questionnaire Anxiety and Depression Scale. To achieve this goal, we used different sets of variables-(a) demographics, (b) physical indicators, (c) psychological indicators and (d) treatment-related variables-in a naturalistic inpatient sample (N = 723) to specify their joint and unique contribution to treatment success. RESULTS: There was a strong link between symptom severity at baseline and post-treatment (R2 = .32). When using all available variables, both machine learning algorithms outperformed the linear regressions and led to an increment in predictive performance of R2 = .12. Treatment-related variables were the most predictive, followed psychological indicators. Physical indicators and demographics were negligible. CONCLUSIONS: Treatment response in naturalistic inpatient settings can be predicted to a considerable degree by using baseline indicators. Regularization via machine learning algorithms leads to higher predictive performances as opposed to including nonlinear and interaction effects. Heterogenous aspects of mental health have incremental predictive value and should be considered as prognostic markers when modelling treatment processes.

Changes in Hospital Adverse Events and Patient Outcomes Associated With Private Equity Acquisition.

Importance: The effects of private equity acquisitions of US hospitals on the clinical quality of inpatient care and patient outcomes remain largely unknown. Objective: To examine changes in hospital-acquired adverse events and hospitalization outcomes associated with private equity acquisitions of US hospitals. Design, Setting, and Participants: Data from 100% Medicare Part A claims for 662 095 hospitalizations at 51 private equity-acquired hospitals were compared with data for 4 160 720 hospitalizations at 259 matched control hospitals (not acquired by private equity) for hospital stays between 2009 and 2019. An event study, difference-in-differences design was used to assess hospitalizations from 3 years before to 3 years after private equity acquisition using a linear model that was adjusted for patient and hospital attributes. Main Outcomes and Measures: Hospital-acquired adverse events (synonymous with hospital-acquired conditions; the individual conditions were defined by the US Centers for Medicare & Medicaid Services as falls, infections, and other adverse events), patient mix, and hospitalization outcomes (including mortality, discharge disposition, length of stay, and readmissions). Results: Hospital-acquired adverse events (or conditions) were observed within 10 091 hospitalizations. After private equity acquisition, Medicare beneficiaries admitted to private equity hospitals experienced a 25.4% increase in hospital-acquired conditions compared with those treated at control hospitals (4.6 [95% CI, 2.0-7.2] additional hospital-acquired conditions per 10 000 hospitalizations, P = .004). This increase in hospital-acquired conditions was driven by a 27.3% increase in falls (P = .02) and a 37.7% increase in central line-associated bloodstream infections (P = .04) at private equity hospitals, despite placing 16.2% fewer central lines. Surgical site infections doubled from 10.8 to 21.6 per 10 000 hospitalizations at private equity hospitals despite an 8.1% reduction in surgical volume; meanwhile, such infections decreased at control hospitals, though statistical precision of the between-group comparison was limited by the smaller sample size of surgical hospitalizations. Compared with Medicare beneficiaries treated at control hospitals, those treated at private equity hospitals were modestly younger, less likely to be dually eligible for Medicare and Medicaid, and more often transferred to other acute care hospitals after shorter lengths of stay. In-hospital mortality (n = 162 652 in the population or 3.4% on average) decreased slightly at private equity hospitals compared with the control hospitals; there was no differential change in mortality by 30 days after hospital discharge. Conclusions and Relevance: Private equity acquisition was associated with increased hospital-acquired adverse events, including falls and central line-associated bloodstream infections, along with a larger but less statistically precise increase in surgical site infections. Shifts in patient mix toward younger and fewer dually eligible beneficiaries admitted and increased transfers to other hospitals may explain the small decrease in in-hospital mortality at private equity hospitals relative to the control hospitals, which was no longer evident 30 days after discharge. These findings heighten concerns about the implications of private equity on health care delivery.

Disparities in COVID-19 related outcomes in the United States by race and ethnicity pre-vaccination era: an umbrella review of meta-analyses.

Background: Meta-analyses have investigated associations between race and ethnicity and COVID-19 outcomes. However, there is uncertainty about these associations' existence, magnitude, and level of evidence. We, therefore, aimed to synthesize, quantify, and grade the strength of evidence of race and ethnicity and COVID-19 outcomes in the US. Methods: In this umbrella review, we searched four databases (Pubmed, Embase, the Cochrane Database of Systematic Reviews, and Epistemonikos) from database inception to April 2022. The methodological quality of each meta-analysis was assessed using the Assessment of Multiple Systematic Reviews, version 2 (AMSTAR-2). The strength of evidence of the associations between race and ethnicity with outcomes was ranked according to established criteria as convincing, highly suggestive, suggestive, weak, or non-significant. The study protocol was registered with PROSPERO, CRD42022336805. Results: Of 880 records screened, we selected seven meta-analyses for evidence synthesis, with 42 associations examined. Overall, 10 of 42 associations were statistically significant (p ≤ 0.05). Two associations were highly suggestive, two were suggestive, and two were weak, whereas the remaining 32 associations were non-significant. The risk of COVID-19 infection was higher in Black individuals compared to White individuals (risk ratio, 2.08, 95% Confidence Interval (CI), 1.60-2.71), which was supported by highly suggestive evidence; with the conservative estimates from the sensitivity analyses, this association remained suggestive. Among those infected with COVID-19, Hispanic individuals had a higher risk of COVID-19 hospitalization than non-Hispanic White individuals (odds ratio, 2.08, 95% CI, 1.60-2.70) with highly suggestive evidence which remained after sensitivity analyses. Conclusion: Individuals of Black and Hispanic groups had a higher risk of COVID-19 infection and hospitalization compared to their White counterparts. These associations of race and ethnicity and COVID-19 outcomes existed more obviously in the pre-hospitalization stage. More consideration should be given in this stage for addressing health inequity.

Disparities in Socioeconomic Factors Mediate the Impact of Racial Segregation Among Patients With Hepatopancreaticobiliary Cancer.

BACKGROUND: Structural racism within the U.S. health care system contributes to disparities in oncologic care. This study sought to examine the socioeconomic factors that underlie the impact of racial segregation on hepatopancreaticobiliary (HPB) cancer inequities. METHODS: Both Black and White patients who presented with HPB cancer were identified from the linked Surveillance, Epidemiology, and End Results (SEER)-Medicare database (2005-2015) and 2010 Census data. The Index of Dissimilarity (IoD), a validated measure of segregation, was examined relative to cancer stage at diagnosis, surgical resection, and overall mortality. Principal component analysis and structural equation modeling were used to determine the mediating effect of socioeconomic factors. RESULTS: Among 39,063 patients, 86.4 % (n = 33,749) were White and 13.6 % (n = 5314) were Black. Black patients were more likely to reside in segregated areas than White patients (IoD, 0.62 vs. 0.52; p < 0.05). Black patients in highly segregated areas were less likely to present with early-stage disease (relative risk [RR], 0.89; 95 % confidence interval [CI] 0.82-0.95) or undergo surgery for localized disease (RR, 0.81; 95% CI 0.70-0.91), and had greater mortality hazards (hazard ratio 1.12, 95% CI 1.06-1.17) than White patients in low segregation areas (all p < 0.05). Mediation analysis identified poverty, lack of insurance, education level, crowded living conditions, commute time, and supportive income as contributing to 25 % of the disparities in early-stage presentation. Average income, house price, and income mobility explained 17 % of the disparities in surgical resection. Notably, average income, house price, and income mobility mediated 59 % of the effect that racial segregation had on long-term survival. CONCLUSION: Racial segregation, mediated through underlying socioeconomic factors, accounted for marked disparities in access to surgical care and outcomes for patients with HPB cancer.

The relationship between state-level structural racism and disparities between the non-hispanic black and non-hispanic white populations in multiple health outcomes.

AIMS: While several studies have examined the impact of individual indicators of structural racism on single health outcomes, few have explicitly modeled racial disparities in a wide range of health outcomes using a multidimensional, composite structural racism index. This paper builds on the previous research by examining the relationship between state-level structural racism and a wider array of health outcomes, focusing on racial disparities in mortality from firearm homicide, infant mortality, stroke, diabetes, hypertension, asthma, HIV, obesity, and kidney disease. METHODS: We used a previously developed state structural racism index that consists of a composite score derived by averaging eight indicators across five domains: (1) residential segregation; (2) incarceration; (3) employment; (4) economic status/wealth; and (5) education. Indicators were obtained for each of the 50 states using Census data from 2020. We estimated the Black-White disparity in each health outcome in each state by dividing the age-adjusted mortality rate for the non-Hispanic Black population by the age-adjusted mortality rate for the non-Hispanic White population. These rates were obtained from the CDC WONDER Multiple Cause of Death database for the combined years 1999-2020. We conducted linear regression analyses to examine the relationship between the state structural racism index and the Black-White disparity in each health outcome across the states. In multiple regression analyses, we controlled for a wide range of potential confounding variables. RESULTS: Our calculations revealed striking geographic differences in the magnitude of structural racism, with the highest values generally being observed in the Midwest and Northeast. Higher levels of structural racism were significantly associated with greater racial disparities in mortality for all but two of the health outcomes. CONCLUSIONS: There is a robust relationship between structural racism and Black-White disparities in multiple health outcomes across states. Programs and policies to reduce racial heath disparities must include strategies to help dismantle structural racism and its consequences.

Intimate Partner Violence, Economic Insecurity, and Health Outcomes Among American Indian and Alaska Native Men and Women: Findings From a National Sample.

Limited data are available on experiences of intimate partner violence (IPV) and sexual violence (SV) and health outcomes among American Indian and Alaska Native (AIAN) populations. This study explores the relationship between IPV and SV, food insecurity, housing insecurity, healthcare access, and self-reported physical and mental health status in a nationally representative sample of AIAN adults (N = 3,634). IPV and SV were associated with poorer physical and mental health at the bivariate level, but not in multivariate analyses. Economic inequalities are a salient predictor of health and may be compounded by demographic and geographic contexts.