Tag: nevin manimala

Psychol Trauma. 2024 Jul 18. doi: 10.1037/tra0001726. Online ahead of print.

ABSTRACT

OBJECTIVE: The present study explored rates of burnout and racial trauma among 182 Black mental health professionals (BMHPs) and utilized racial-cultural theory to explore potential protective factors against burnout and racial trauma.

METHOD: We collected data from 182 Black psychologists and counselors who were active mental health professionals during 2020. Descriptive statistics, multivariate analyses of variance, follow-up univariate analyses of variance, bivariate correlations, and multiple regression analyses were used.

RESULTS: Both burnout and racial trauma were considerably higher among BMHPs than has been reported across general samples of helping professionals and across a sample of Black participants across the United States. Differences among rates of burnout and racial trauma existed across genders and specialties (i.e., counseling and psychology). Higher levels of social support and an external locus of control significantly predicted lower levels of burnout and racial trauma. In addition, higher levels of resilient coping predicted lower levels of burnout. Last, more frequent meetings with a mentor significantly predicted lower levels of racial trauma.

CONCLUSIONS: Results from this study suggest that BMHPs may be more susceptible to burnout and race-based traumatic stress as a result of their work. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

PMID:39023947 | DOI:10.1037/tra0001726

Psychol Trauma. 2024 Jul 18. doi: 10.1037/tra0001728. Online ahead of print.

ABSTRACT

OBJECTIVE: The City Birth Trauma Scale (City BiTS) assesses postpartum posttraumatic stress disorder (PTSD) based on the Diagnostic and Statistical Manual of Mental Disorders (5th ed.) criteria. Although it has been validated worldwide, predictive validity has not been previously examined. Moreover, no Italian version of the scale exists. This study aimed to test the bifactor latent structure and alternative models, internal consistency, test-retest reliability, convergent validity, divergent validity, and predictive validity of the City BiTS.

METHOD: Women (N = 629) who had given birth within the past 3 months completed an online survey including sociodemographic and obstetric characteristics, the City BiTS, the Impact of Event Scale-Revised, and the Edinburgh Postnatal Depression Scale. After 3 months, women completed the City BiTS again and reported their intention to breastfeed during the 1-year postpartum.

RESULTS: Exploratory factor analysis confirmed the two-factorial structure. In confirmatory factor analysis, the two-factorial solution showed the best model fit. Internal consistency was good to excellent for the subscales and the total scale. Correlation analyses showed strong convergent validity with the Impact of Event Scale-Revised, high divergent validity with the Edinburgh Postnatal Depression Scale, high test-retest reliability, and good predictive validity with the intention to exclusively breastfeed. Moreover, the Birth-Related Symptoms subscale distinguished between different types of delivery.

CONCLUSIONS: The City BiTS-Italian is the first measure evaluating and diagnosing childbirth-related PTSD symptoms based on Diagnostic and Statistical Manual of Mental Disorders (5th ed.) in Italy. The factorial structure and validity reported in other cultural contexts were confirmed; moreover, findings add evidence to the scale’s temporal stability and predictive validity. Besides contributing to clinical purposes, the City BiTS-Italian will facilitate international comparability regarding the prevalence of PTSD following childbirth. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

PMID:39023943 | DOI:10.1037/tra0001728

Psychol Rev. 2024 Jul 18. doi: 10.1037/rev0000479. Online ahead of print.

ABSTRACT

The explanation of psychological phenomena is a central aim of psychological science. However, the nature of explanation and the processes by which we evaluate whether a theory explains a phenomenon are often unclear. Consequently, it is often unknown whether a given psychological theory indeed explains a phenomenon. We address this shortcoming by proposing a productive account of explanation: a theory explains a phenomenon to some degree if and only if a formal model of the theory produces the statistical pattern representing the phenomenon. Using this account, we outline a workable methodology of explanation: (a) explicating a verbal theory into a formal model, (b) representing phenomena as statistical patterns in data, and (c) assessing whether the formal model produces these statistical patterns. In addition, we provide three major criteria for evaluating the goodness of an explanation (precision, robustness, and empirical relevance), and examine some cases of explanatory breakdowns. Finally, we situate our framework within existing theories of explanation from philosophy of science and discuss how our approach contributes to constructing and developing better psychological theories. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

PMID:39023936 | DOI:10.1037/rev0000479

Chaos. 2024 Jul 1;34(7):073138. doi: 10.1063/5.0206406.

ABSTRACT

Transformations are a key tool in the qualitative study of dynamical systems: transformations to a normal form, for example, underpin the study of instabilities and bifurcations. In this work, we test, and when possible establish, an equivalence between two different artificial neural networks by attempting to construct a data-driven transformation between them, using diffusion maps with a Mahalanobis-like metric. If the construction succeeds, the two networks can be thought of as belonging to the same equivalence class. We first discuss transformation functions between only the outputs of the two networks; we then also consider transformations that take into account outputs (activations) of a number of internal neurons from each network. Whitney’s theorem dictates the number of (generic) measurements from one of the networks required to reconstruct each and every feature of the second network. The construction of the transformation function relies on a consistent, intrinsic representation of the network input space. We illustrate our algorithm by matching neural network pairs trained to learn (a) observations of scalar functions, (b) observations of two-dimensional vector fields, and (c) representations of images of a moving three-dimensional object (a rotating horse). We also demonstrate reconstruction of a network’s input (and output) from minimal partial observations of intermediate neuron activations. The construction of equivalences across different network instantiations clearly relates to transfer learning and will also be valuable in establishing equivalence between different machine learning-based tools.

PMID:39023924 | DOI:10.1063/5.0206406

JAMA Netw Open. 2024 Jul 1;7(7):e2419873. doi: 10.1001/jamanetworkopen.2024.19873.

ABSTRACT

IMPORTANCE: Endothelin receptor antagonists are first-line therapy for pulmonary arterial hypertension (PAH). The first 2 agents approved in the class, bosentan and ambrisentan, initially carried boxed warnings for hepatotoxicity and required monthly liver function tests (LFTs) as part of a risk evaluation and mitigation strategy (REMS); however, in 2011, as further safety data emerged on ambrisentan, the boxed hepatotoxicity warning and LFT requirements were removed.

OBJECTIVE: To analyze changes in the use of and LFT monitoring for ambrisentan and bosentan after changes to the ambrisentan labeling and REMS.

DESIGN, SETTING, AND PARTICIPANTS: This serial cross-sectional study used data from 3 longitudinal health care insurance claims databases-Medicaid, Optum’s deidentified Clinformatics Data Mart, and Merative Marketscan-to perform an interrupted time series analysis of prescription fills and LFTs for patients taking ambrisentan and bosentan. Participants were patients filling prescriptions for ambrisentan and bosentan from July 1, 2007, to December 31, 2018. Data analysis was performed from April 2021 to August 2023.

EXPOSURE: Removal of the boxed warning for hepatotoxicity and the REMS LFT monitoring requirements on ambrisentan in March 2011.

MAIN OUTCOMES AND MEASURES: The primary outcomes were use of ambrisentan (ie, individuals with at least 1 dispensing per 1 000 000 individuals enrolled in the 3 datasets) vs bosentan and LFT monitoring (ie, proportion of initiators with at least 1 ordered test) before initiation and before the first refill.

RESULTS: A total of 10 261 patients received a prescription for ambrisentan during the study period (7442 women [72.5%]; mean [SD] age, 52.6 [17.6] years), and 11 159 patients received a prescription for bosentan (7931 women [71.1%]; mean [SD] age, 47.7 [23.7] years). Removal of the ambrisentan boxed hepatotoxicity warning and LFT monitoring requirement was associated with an immediate increase in the use of ambrisentan (1.50 patients per million enrollees; 95% CI, 1.08 to 1.92 patients per million enrollees) but no significant change in the use of bosentan. There were reductions in recorded LFTs before drug initiation (13.1% absolute decrease; 95% CI, -18.2% to -8.0%) and before the first refill (26.4% absolute decrease; 95% CI, -34.4% to -18.5%) of ambrisentan but not bosentan.

CONCLUSIONS AND RELEVANCE: In this serial cross-sectional study of ambrisentan, labeling changes and removal of the REMS-related LFT requirement were associated with shifts in prescribing and testing behavior for ambrisentan but not bosentan. Further clinician education may be needed to maximize the benefits of REMS programs and labeling warnings designed to ensure the safe administration of high-risk medications.

PMID:39023895 | DOI:10.1001/jamanetworkopen.2024.19873

JAMA Netw Open. 2024 Jul 1;7(7):e2421680. doi: 10.1001/jamanetworkopen.2024.21680.

ABSTRACT

IMPORTANCE: The US registered nurse (RN) workforce is in flux, with high rates of burnout, intention to leave, and vacancies. Rapid, repeated assessments of the nursing workforce can help hospital executives and policymakers enact effective recruitment and retention strategies.

OBJECTIVE: To identify changes in practicing RNs’ employment plans and workplace assessments between the 2022 and 2023 surveys.

DESIGN, SETTING, AND PARTICIPANTS: This survey study compared data collected from the Michigan Nurses’ Study at 2 time points: February 22 to March 1, 2022, and May 17 to June 1, 2023. Practicing RNs with an active, unrestricted license in Michigan and a valid individual email address were included.

MAIN OUTCOME AND MEASURES: The primary outcome was nurses’ intention to leave their current position within 1 year. In the 2023 survey, nurses who planned to leave were queried on their next career step and the primary reason for their planned departure. Workplace assessments included questions about abusive or violent workplace events, emotional exhaustion, job satisfaction, the practice environment’s delivery of high-quality care, and the clinical setting’s safety rating. Regression analysis was used to examine workplace assessments and personal factors associated with planned departures.

RESULTS: This study obtained data on 9150 nurses (6495 females [71.0%]) and 7059 nurses (5134 females [72.7%]) responding to the 2022 (response rate, 8.3%) and 2023 (response rate, 7.4%) surveys, respectively. In the 2023 survey, 32.0% (2259) of nurses planned to leave their position, compared with 39.1% (3576) in the 2022 survey. Of these nurses, 957 (41.8%) planned to leave their current employer but remain in nursing, with workloads as the most frequently cited reason (29.4% [672]). Compared with the 2022 cohort, nurses in the 2023 sample reported less workplace abuse or violence (4591 [50.2%] vs 3063 [43.4%]; P < .001), fewer understaffed shifts (4407 [48.2%] vs 2898 [41.0%]; P < .001), and less frequent use of mandatory overtime (1709 [18.7%] vs 824 [11.7%]; P < .001). Factors associated with increased likelihood for planned departures included workplace abuse or violence (odds ratio [OR], 1.39; 95% CI, 1.05-1.82) and higher emotional exhaustion scores (OR, 3.05; 95% CI, 2.38-3.91). Favorable practice environments (OR, 0.37; 95% CI, 0.22-0.62) and excellent clinical setting safety ratings (OR, 0.28; 95% CI, 0.14-0.56) were associated with lower likelihood of planned departure.

CONCLUSIONS AND RELEVANCE: Results of this study showed that nurses reported improved workplace conditions in the 2023 vs the 2022 survey; however, planned departure rates, abusive or violent events, and unsafe conditions remained high, and understaffing remained a primary concern for most nurses. Health system leaders and policymakers should prioritize initiatives that support nurse retention and reduce potential workforce instability.

PMID:39023894 | DOI:10.1001/jamanetworkopen.2024.21680

JAMA Netw Open. 2024 Jul 1;7(7):e2422815. doi: 10.1001/jamanetworkopen.2024.22815.

ABSTRACT

IMPORTANCE: Prenatal diet may be causally related to autism; however, findings are inconsistent, with a limited body of research based on small sample sizes and retrospective study designs.

OBJECTIVE: To investigate the associations of prenatal dietary patterns with autism diagnosis and autism-associated traits in 2 large prospective cohorts, the Norwegian Mother, Father, and Child Cohort Study (MoBa), and the Avon Longitudinal Study of Parents and Children (ALSPAC).

DESIGN, SETTING, AND PARTICIPANTS: This cohort study used data from MoBa and ALSPAC birth cohort studies conducted across Norway and in the Southwest of England, respectively. Participants were people with singleton pregnancies with self-reported food frequency questionnaire responses. MoBa recruited between 2002 and 2008, and ALSPAC recruited between 1990 and 1992, and children were followed-up until age 8 years or older. Recruitment rates were 41% (95 200 of 277 702 eligible pregnancies) in MoBa and 72% (14 541 of 20 248 eligible pregnancies) in ALSPAC. Data analysis occurred February 1, 2022, to August 1, 2023.

EXPOSURE: A healthy prenatal dietary pattern was derived using factor analysis and modeled as low, medium, and high adherence.

MAIN OUTCOMES AND MEASURES: In MoBa, the offspring outcomes were autism diagnosis and elevated social communication questionnaire score at ages 3 years and 8 years, with further analysis of the social communication difficulties and restrictive and repetitive behaviors subdomains. In ALSPAC, offspring outcomes were elevated social communication difficulties checklist score at age 8 years. Odds ratios (ORs) were estimated using generalized nonlinear models.

RESULTS: MoBa included 84 548 pregnancies (mean [SD] age, 30.2 [4.6] years; 43 277 [51.2%] male offspring) and ALSPAC had 11 760 pregnancies (mean [SD] age, 27.9 [4.7] years; 6034 [51.3%] male offspring). In the final adjusted models, high adherence to a healthy dietary pattern, compared with low adherence, was associated with reduced odds of autism diagnosis (OR, 0.78; 95% CI, 0.66-0.92) and social communication difficulties at age 3 years in MoBa (OR 0.76, 95% CI, 0.70-0.82) and age 8 years in ALSPAC (OR, 0.74; 95% CI, 0.55-0.98). There was no consistent evidence of association with the other outcomes.

CONCLUSIONS AND RELEVANCE: In this cohort study of mother-child dyads, adherence to a healthy prenatal dietary pattern was associated with a lower odds of autism diagnosis and social communication difficulties but not restrictive and repetitive behaviors.

PMID:39023891 | DOI:10.1001/jamanetworkopen.2024.22815

JAMA Netw Open. 2024 Jul 1;7(7):e2422995. doi: 10.1001/jamanetworkopen.2024.22995.

ABSTRACT

IMPORTANCE: Neonatal mortality is a major public health concern that was potentially impacted by the COVID-19 pandemic. To prepare for future health crises, it is important to investigate whether COVID-19 pandemic-related interventions were associated with changes in neonatal mortality.

OBJECTIVE: To investigate whether social distancing during the pandemic was associated with a higher neonatal mortality rate.

DESIGN, SETTING, AND PARTICIPANTS: This cohort study examined maternal-linked birth and infant death records from the National Center for Health Statistics, a population-level US database, from 2016 through 2020. The mortality rates were correlated using machine learning-based autoregressive integrated moving average (ARIMA) models with the social distancing index (SDI). The reference period was January 2016 through February 2020, and the pandemic period was March through December 2020. Statistical analysis was performed from March 2023 to May 2024.

EXPOSURES: SDI, computed from 6 mobility metrics.

MAIN OUTCOMES AND MEASURES: The primary outcome was neonatal mortality rate, defined as death at age less than 28 days.

RESULTS: The study included 18 011 173 births, of which 15 136 596 were from the reference period (7 753 555 [51.22%] male; 11 643 094 [76.92%] with maternal age of 20 to 34 years) and 2 874 577 were from the pandemic period (1 472 539 [51.23%] male; 2 190 158 [76.19%] with maternal age of 20 to 34 years). Through ARIMA-adjusted analyses, accounting for the declining mortality trend in the reference period, the mortality rates during the pandemic period did not significantly differ from the expected rates. SDI did not exhibit significant correlations with neonatal mortality (unadjusted: correlation coefficient [CC], 0.14 [95% CI, -0.53 to 0.70]; ARIMA adjusted: CC, 0.29 [95% CI, -0.41 to 0.77]), early neonatal mortality (unadjusted: CC, 0.33 [95% CI, -0.37 to 0.79]; ARIMA adjusted: CC, 0.45 [95% CI, -0.24 to 0.84]), and infant mortality (unadjusted: CC, -0.09 [95% CI, -0.68 to 0.57]; ARIMA adjusted: CC, 0.35 [95% CI, -0.35 to 0.80]). However, lag analyses found that SDI was associated with higher neonatal and early neonatal mortality rates with a 2-month lag period, but not with infant mortality rate. SDI was also associated with increases in 22-to-27 weeks’ and 28-to-32 weeks’ preterm delivery with a 1-month lag period.

CONCLUSIONS AND RELEVANCE: In this population-level study of National Center for Health Statistics databases, neonatal, early neonatal, and infant mortality rates did not increase during the initial COVID-19 pandemic period. However, associations were observed between the pandemic period social distancing measures and higher rates of neonatal and early neonatal mortality, as well as preterm birth rate with a lag period, suggesting the importance of monitoring infant health outcomes following pandemic-related population behavior changes.

PMID:39023889 | DOI:10.1001/jamanetworkopen.2024.22995

JAMA Netw Open. 2024 Jul 1;7(7):e2423186. doi: 10.1001/jamanetworkopen.2024.23186.

ABSTRACT

IMPORTANCE: Targeted therapies based on underlying tumor genomic susceptible alterations have been approved for patients with metastatic prostate cancer (mPC) and advanced urothelial carcinoma (aUC).

OBJECTIVE: To assess trends and disparities in next-generation sequencing (NGS) testing among patients with mPC and aUC.

DESIGN, SETTING, AND PARTICIPANTS: This retrospective cohort study used an electronic health record-derived database to extract deidentified data of patients receiving care from US physician practices, hospital-affiliated clinics, and academic practices. Patients diagnosed with mPC or aUC between March 1, 2015, and December 31, 2022, were included.

EXPOSURES: Social determinants of health evaluated by race and ethnicity, socioeconomic status (SES), region, insurance type, and sex (for aUC).

MAIN OUTCOMES AND MEASURES: The primary outcomes were (1) NGS testing rate by year of mPC and aUC diagnosis using Clopper-Pearson 2-sided 95% CIs and (2) time to NGS testing, which considered death as a competing risk. Cumulative incidence functions were estimated for time to NGS testing. Disparities in subdistributional incidence of NGS testing were assessed by race and ethnicity, SES, region, insurance type, and sex (for aUC) using the Fine-Gray modified Cox proportional hazards model, assuming different subdistribution baseline hazards by year of mPC and aUC diagnosis.

RESULTS: A total of 11 927 male patients with mPC (167 Asian [1.6%], 1236 Black [11.6%], 687 Hispanic or Latino [6.4%], 7037 White [66.0%], and 1535 other [14.4%] among 10 662 with known race and ethnicity) and 6490 patients with aUC (4765 male [73.4%]; 80 Asian [1.4%], 283 Black [4.8%], 257 Hispanic or Latino [4.4%], 4376 White [74.9%], and 845 other [14.5%] among 5841 with known race and ethnicity) were eligible and included. Both cohorts had a median age of 73 years (IQR, 66-80 years), and most underwent NGS testing before first-line treatment in the mPC cohort (1502 [43.0%]) and before second-line treatment in the aUC cohort (1067 [51.3%]). In the mPC cohort, the rates of NGS testing increased from 19.0% in 2015 to 27.1% in 2022, but Black patients (hazard ratio [HR], 0.75; 95% CI, 0.67-0.84) and Hispanic or Latino patients (HR, 0.70; 95% CI, 0.60-0.82) were less likely to undergo NGS testing. Patients with mPC who had low SES (quintile 1: HR, 0.74 [95% CI, 0.66-0.83]; quintile 2: HR, 0.89 [95% CI, 0.80-0.99]), had Medicaid (HR, 0.53; 95% CI, 0.38-0.74) or Medicare or other government insurance (HR, 0.89; 95% CI, 0.82-0.98), or lived in the West (HR, 0.81; 95% CI, 0.70-0.94) also were less likely to undergo testing. In the aUC cohort, the NGS rate increased from 14.1% in 2015 to 46.6% in 2022, but Black patients (HR, 0.76; 95% CI, 0.61-0.96) and those with low SES (quintile 1: HR 0.77 [95% CI, 0.66-0.89]; quintile 2: HR, 0.87 [95% CI, 0.76-1.00]) or Medicaid (HR, 0.72; 95% CI, 0.53-0.97) or Medicare or other government insurance (HR, 0.88; 95% CI, 0.78-0.99) were less likely to undergo NGS testing. Patients with aUC living in the South were more likely to undergo testing (HR, 1.29; 95% CI, 1.12-1.49).

CONCLUSIONS AND RELEVANCE: These findings suggest that although NGS tumor testing rates improved over time, the majority of patients still did not undergo testing. These data may help with understanding current disparities associated with NGS testing and improving access to standard-of-care health care services.

PMID:39023888 | DOI:10.1001/jamanetworkopen.2024.23186

J Dev Behav Pediatr. 2024 Jul 17. doi: 10.1097/DBP.0000000000001302. Online ahead of print.

ABSTRACT

OBJECTIVES: This study sought to understand the health status of children in foster care; the relationship between their health status and health care utilization; and demographic and placement factors associated with health care utilization.

METHODS: To estimate relationships between health status and health care utilization, this study used electronic health records from 4976 children in foster care seen at a children’s hospital in the southwestern United States, 2017 to 2020. An algorithm classified patients’ health status as nonchronic, noncomplex chronic, or complex chronic. Descriptive statistics were used to describe patients and utilization. The χ2, Kruskal-Wallis, and pairwise comparison post hoc tests were used to examine relationships between health status and health care utilization. Zero-inflated negative binomial (ZINB) regression further estimated relationships between health status and health care utilization while factoring in demographic and placement characteristics.

RESULTS: Within the sample, 35.6% had complex chronic health status. Significant differences were found among health status groups in age, gender, ethnicity, and maltreatment exposure. Both nonparametric pairwise comparisons and the ZINB regression model showed that having complex chronic health was associated with higher utilization of all hospital resources: emergency, admission, primary and specialty care, and various therapies, relative to having noncomplex chronic and nonchronic health.

CONCLUSION: A high percentage of children in foster care had complex chronic health, and these patients used significantly more resources. This study suggests that hospital-based health clinics focused on children in foster care and care coordination may be warranted.

PMID:39023862 | DOI:10.1097/DBP.0000000000001302