Category: Nevin Manimala

JAMA Netw Open. 2024 May 1;7(5):e2410432. doi: 10.1001/jamanetworkopen.2024.10432.

ABSTRACT

IMPORTANCE: The burden of the US opioid crisis has fallen heavily on children, a vulnerable population increasingly exposed to parental opioid use disorder (POUD) in utero or during childhood. A paucity of studies have investigated foster care involvement among those experiencing parental opioid use during childhood and the associated health and health care outcomes.

OBJECTIVE: To examine the health and health care outcomes of children experiencing POUD with and without foster care involvement.

DESIGN, SETTING, AND PARTICIPANTS: This population-based cohort study used nationwide Medicaid claims data from January 1, 2014, to December 31, 2020. Participants included Medicaid-enrolled children experiencing parental opioid use-related disorder during ages 4 to 18 years. Data were analyzed between January 2023 and February 2024.

EXPOSURE: Person-years with (exposed) and without (nonexposed) foster care involvement, identified using Medicaid eligibility, procedure, and diagnostic codes.

MAIN OUTCOMES AND MEASURES: The main outcomes included physical and mental health conditions, developmental disorders, substance use, and health care utilization. The Pearson χ2 test, the t test, and linear regression were used to compare outcomes in person-years with (exposed) and without (nonexposed) foster care involvement. An event study design was used to examine health care utilization patterns before and after foster care involvement.

RESULTS: In a longitudinal sample of 8 939 666 person-years from 1 985 180 Medicaid-enrolled children, 49% of children were females and 51% were males. Their mean (SD) age was 10 (4.2) years. The prevalence of foster care involvement was 3% (276 456 person-years), increasing from 1.5% in 2014 to 4.7% in 2020. Compared with those without foster care involvement (8 663 210 person-years), foster care involvement was associated with a higher prevalence of developmental delays (12% vs 7%), depression (10% vs 4%), trauma and stress (35% vs 7%), and substance use-related disorders (4% vs 1%; P < .001 for all). Foster children had higher rates of health care utilization across a wide array of preventive services, including well-child visits (64% vs 44%) and immunizations (41% vs 31%; P < .001 for all). Health care utilization increased sharply in the first year entering foster care but decreased as children exited care.

CONCLUSIONS AND RELEVANCE: In this cohort study of Medicaid-enrolled children experiencing parental opioid use-related disorder, foster care involvement increased significantly between 2014 and 2020. Involvement was associated with increased rates of adverse health outcomes and health care utilization. These findings underscore the importance of policies that support children and families affected by opioid use disorder, as well as the systems that serve them.

PMID:38717771 | DOI:10.1001/jamanetworkopen.2024.10432

JAMA Netw Open. 2024 May 1;7(5):e2410706. doi: 10.1001/jamanetworkopen.2024.10706.

ABSTRACT

IMPORTANCE: Unlike other surgical specialties, obstetrics and gynecology (OB-GYN) has been predominantly female for the last decade. The association of this with gender bias and sexual harassment is not known.

OBJECTIVE: To systematically review the prevalence of sexual harassment, bullying, abuse, and discrimination among OB-GYN clinicians and trainees and interventions aimed at reducing harassment in OB-GYN and other surgical specialties.

EVIDENCE REVIEW: A systematic search of PubMed, Embase, and ClinicalTrials.gov was conducted to identify studies published from inception through June 13, 2023.: For the prevalence of harassment, OB-GYN clinicians and trainees on OB-GYN rotations in all subspecialties in the US or Canada were included. Personal experiences of harassment (sexual harassment, bullying, abuse, and discrimination) by other health care personnel, event reporting, burnout and exit from medicine, fear of retaliation, and related outcomes were included. Interventions across all surgical specialties in any country to decrease incidence of harassment were also evaluated. Abstracts and potentially relevant full-text articles were double screened.: Eligible studies were extracted into standard forms. Risk of bias and certainty of evidence of included research were assessed. A meta-analysis was not performed owing to heterogeneity of outcomes.

FINDINGS: A total of 10 eligible studies among 5852 participants addressed prevalence and 12 eligible studies among 2906 participants addressed interventions. The prevalence of sexual harassment (range, 250 of 907 physicians [27.6%] to 181 of 255 female gynecologic oncologists [70.9%]), workplace discrimination (range, 142 of 249 gynecologic oncologists [57.0%] to 354 of 527 gynecologic oncologists [67.2%] among women; 138 of 358 gynecologic oncologists among males [38.5%]), and bullying (131 of 248 female gynecologic oncologists [52.8%]) was frequent among OB-GYN respondents. OB-GYN trainees commonly experienced sexual harassment (253 of 366 respondents [69.1%]), which included gender harassment, unwanted sexual attention, and sexual coercion. The proportion of OB-GYN clinicians who reported their sexual harassment to anyone ranged from 21 of 250 AAGL (formerly, the American Association of Gynecologic Laparoscopists) members (8.4%) to 32 of 256 gynecologic oncologists (12.5%) compared with 32.6% of OB-GYN trainees. Mistreatment during their OB-GYN rotation was indicated by 168 of 668 medical students surveyed (25.1%). Perpetrators of harassment included physicians (30.1%), other trainees (13.1%), and operating room staff (7.7%). Various interventions were used and studied, which were associated with improved recognition of bias and reporting (eg, implementation of a video- and discussion-based mistreatment program during a surgery clerkship was associated with a decrease in medical student mistreatment reports from 14 reports in previous year to 9 reports in the first year and 4 in the second year after implementation). However, no significant decrease in the frequency of sexual harassment was found with any intervention.

CONCLUSIONS AND RELEVANCE: This study found high rates of harassment behaviors within OB-GYN. Interventions to limit these behaviors were not adequately studied, were limited mostly to medical students, and typically did not specifically address sexual or other forms of harassment.

PMID:38717770 | DOI:10.1001/jamanetworkopen.2024.10706

Int Ophthalmol. 2024 May 8;44(1):221. doi: 10.1007/s10792-024-02988-z.

ABSTRACT

PURPOSE: The objective of this study was to analyze the impact of different factors on the success rate of probing for congenital nasolacrimal duct obstruction (CNLDO).

METHODS: A retrospective analysis was conducted on 239 eyes of 202 patients who underwent probing for CNLDO between 2014 and 2019. Patients were divided into three age groups (12-24 months, 25-36 months, and over 36 months) and two groups based on the type of membranous obstruction (MO) and incomplete complex obstruction (ICO), with complete complex obstruction (CCO) cases being excluded. The study involved administering general anesthesia (GA) to all participants during the probing procedure. The patients were then monitored at scheduled intervals for up to 6 months after the surgery. Success was defined as an improvement in symptoms and signs, and logistic regression and Fisher’s exact test were used for statistical analysis.

RESULTS: The mean age of the patients was 25.48 ± 13.38 months, and the total success rate was 86.61%. The success rate for MO was 92.8%, 95.87%, and 97% in age groups 1, 2, and 3, respectively. The success rate for ICO was 91.17%, 80%, and 23.52% in age groups 1, 2, and 3, respectively. The success rate for MO was significantly higher than ICO in all age groups. The success rate for ICO was significantly lower in age group 3 (p = 0.009).

CONCLUSION: The study found that probing performed within the first 36 months had high success rates regardless of age and type of obstruction. However, the success rate significantly decreased in patients undergoing probing for ICO at 36 months or later.

PMID:38717720 | DOI:10.1007/s10792-024-02988-z

Pediatr Surg Int. 2024 May 8;40(1):127. doi: 10.1007/s00383-024-05645-9.

ABSTRACT

PURPOSE: Infantile hypertrophic pyloric stenosis (IHPS) is suspected to have worse outcomes when length of illness prior to presentation is prolonged. Our objective was to evaluate how social determinants of health influence medical care and outcomes for babies with IHPS.

METHODS: A retrospective review was performed over 10 years. Census data were used as proxy for socioeconomic status via Geo-Identification codes and correlated with food access and social vulnerability variables. The cohort was subdivided to understand the impact of Medicaid Managed Care (MMC).

RESULTS: The cohort (279 cases) was divided into two groups; early group from 2011 to 2015 and late from 2016 to 2021. Cases in the late group were older at the time of presentation (41.5 vs. 36.5 days; p = 0.022) and presented later in the disease course (12.8 vs. 8.9 days; p = 0.021). There was no difference in race (p = 0.282), gender (p = 0.874), or length of stay.

CONCLUSIONS: Patients who presented with IHPS after implementation of phased MMC were older, had a longer symptomatic course, and shorter pylorus measurements. Patients with public insurance after the implementation of MMC were more likely to follow-up with an outpatient pediatrician within a month of hospitalization. These results suggest that MMC may have improved access to care for infants with IHPS.

PMID:38717712 | DOI:10.1007/s00383-024-05645-9

Pharmacoeconomics. 2024 May 8. doi: 10.1007/s40273-024-01394-8. Online ahead of print.

NO ABSTRACT

PMID:38717708 | DOI:10.1007/s40273-024-01394-8

J Robot Surg. 2024 May 8;18(1):206. doi: 10.1007/s11701-024-01932-8.

ABSTRACT

As uptake of robotic-assisted arthroplasty increases there is a need for economic evaluation of the implementation and ongoing costs associated with robotic surgery. The aims of this study were to describe the in-hospital cost of robotic-assisted total knee arthroplasty (RA-TKA) and robotic-assisted unicompartmental knee arthroplasty (RA-UKA) and determine the influence of patient characteristics and surgical outcomes on cost. This prospective cohort study included adult patients (≥ 18 years) undergoing primary unilateral RA-TKA and RA-UKA, at a tertiary hospital in Sydney between April 2017 and June 2021. Patient characteristics, surgical outcomes, and in-hospital cost variables were extracted from hospital medical records. Differences between outcomes for RA-TKA and RA-UKA were compared using independent sample t-tests. Logistic regression was performed to determine drivers of cost. Of the 308 robotic-assisted procedures, 247 were RA-TKA and 61 were RA-UKA. Surgical time, time in the operating room, and length of stay were significantly shorter in RA-UKA (p < 0.001); whereas RA-TKA patients were older (p = 0.002) and more likely to be discharged to in-patient rehabilitation (p = 0.009). Total in-hospital cost was significantly higher for RA-TKA cases (AU$18580.02 vs $13275.38; p < 0.001). Robotic system and maintenance cost per case was AU$3867.00 for TKA and AU$5008.77 for UKA. Patients born overseas and lower volume robotic surgeons were significantly associated with higher total cost of RA-UKA. Increasing age and male gender were significantly associated with higher total cost of RA-TKA. Total cost was significantly higher for RA-TKA than RA-UKA. Robotic system costs for RA-UKA are inflated by the software cost relative to the volume of cases compared with RA-TKA. Cost is an important consideration when evaluating long term benefits of robotic-assisted knee arthroplasty in future studies to provide evidence for the economic sustainability of this practice.

PMID:38717705 | DOI:10.1007/s11701-024-01932-8

Health Econ Rev. 2024 May 8;14(1):33. doi: 10.1186/s13561-024-00508-4.

ABSTRACT

BACKGROUND: Due to population aging, healthcare expenditure is projected to increase substantially in developed countries like Spain. However, prior research indicates that health status, not merely age, is a key driver of healthcare costs. This study analyzed data from over 1.25 million residents of Spain’s Murcia region to develop a capitation-based healthcare financing model incorporating health status via Adjusted Morbidity Groups (AMGs). The goal was to simulate an equitable area-based healthcare budget allocation reflecting population needs.

METHODS: Using 2017 data on residents’ age, sex, AMG designation, and individual healthcare costs, generalized linear models were built to predict healthcare expenditure based on health status indicators. Multiple link functions and distribution families were tested, with model selection guided by information criteria, residual analysis, and goodness-of-fit statistics. The selected model was used to estimate adjusted populations and simulate capitated budgets for the 9 healthcare districts in Murcia.

RESULTS: The gamma distribution with logarithmic link function provided the best model fit. Comparisons of predicted and actual average costs revealed underfunded and overfunded areas within Murcia. If implemented, the capitation model would decrease funding for most districts (up to 15.5%) while increasing it for two high-need areas, emphasizing allocation based on health status and standardized utilization rather than historical spending alone.

CONCLUSIONS: AMG-based capitated budgeting could improve equity in healthcare financing across regions in Spain. By explicitly incorporating multimorbidity burden into allocation formulas, resources can be reallocated towards areas with poorer overall population health. Further policy analysis and adjustment is needed before full-scale implementation of such need-based global budgets.

PMID:38717699 | DOI:10.1186/s13561-024-00508-4

Bull Math Biol. 2024 May 8;86(6):70. doi: 10.1007/s11538-024-01304-1.

ABSTRACT

Practical limitations of quality and quantity of data can limit the precision of parameter identification in mathematical models. Model-based experimental design approaches have been developed to minimise parameter uncertainty, but the majority of these approaches have relied on first-order approximations of model sensitivity at a local point in parameter space. Practical identifiability approaches such as profile-likelihood have shown potential for quantifying parameter uncertainty beyond linear approximations. This research presents a genetic algorithm approach to optimise sample timing across various parameterisations of a demonstrative PK-PD model with the goal of aiding experimental design. The optimisation relies on a chosen metric of parameter uncertainty that is based on the profile-likelihood method. Additionally, the approach considers cases where multiple parameter scenarios may require simultaneous optimisation. The genetic algorithm approach was able to locate near-optimal sampling protocols for a wide range of sample number (n = 3-20), and it reduced the parameter variance metric by 33-37% on average. The profile-likelihood metric also correlated well with an existing Monte Carlo-based metric (with a worst-case r > 0.89), while reducing computational cost by an order of magnitude. The combination of the new profile-likelihood metric and the genetic algorithm demonstrate the feasibility of considering the nonlinear nature of models in optimal experimental design at a reasonable computational cost. The outputs of such a process could allow for experimenters to either improve parameter certainty given a fixed number of samples, or reduce sample quantity while retaining the same level of parameter certainty.

PMID:38717656 | DOI:10.1007/s11538-024-01304-1

Rev Sci Instrum. 2024 May 1;95(5):053503. doi: 10.1063/5.0203259.

ABSTRACT

We report a Bidirectional Electrode Control Arm Assembly (BECAA) for precisely manipulating dust clouds levitated above the powered electrode in RF plasmas. The reported techniques allow the creation of perfectly 2D dust layers by eliminating off-plane particles by moving the electrode from outside the plasma chamber without altering the plasma conditions. The tilting and moving of electrodes using BECAA also allows the precise and repeatable elimination of dust particles one by one to achieve any desired number of grains N without trial and error. Simultaneously acquired top and side view images of dust clusters show that they are perfectly planar or 2D. A demonstration of clusters with N = 1-28 without changing the plasma conditions is presented to show the utility of BECAA for complex plasma and statistical physics experimental design. Demonstration videos and 3D printable part files are available for easy reproduction and adaptation of this new method to repeatably produce 2D clusters in existing RF plasma chambers.

PMID:38717655 | DOI:10.1063/5.0203259

Lifetime Data Anal. 2024 May 8. doi: 10.1007/s10985-024-09628-9. Online ahead of print.

ABSTRACT

The added value of candidate predictors for risk modeling is routinely evaluated by comparing the performance of models with or without including candidate predictors. Such comparison is most meaningful when the estimated risk by the two models are both unbiased in the target population. Very often data for candidate predictors are sourced from nonrepresentative convenience samples. Updating the base model using the study data without acknowledging the discrepancy between the underlying distribution of the study data and that in the target population can lead to biased risk estimates and therefore an unfair evaluation of candidate predictors. To address this issue assuming access to a well-calibrated base model, we propose a semiparametric method for model fitting that enforces good calibration. The central idea is to calibrate the fitted model against the base model by enforcing suitable constraints in maximizing the likelihood function. This approach enables unbiased assessment of model improvement offered by candidate predictors without requiring a representative sample from the target population, thus overcoming a significant practical challenge. We study theoretical properties for model parameter estimates, and demonstrate improvement in model calibration via extensive simulation studies. Finally, we apply the proposed method to data extracted from Penn Medicine Biobank to inform the added value of breast density for breast cancer risk assessment in the Caucasian woman population.

PMID:38717617 | DOI:10.1007/s10985-024-09628-9