Category: Nevin Manimala

Nurs Educ Perspect. 2022 Aug 23. doi: 10.1097/01.NEP.0000000000001025. Online ahead of print.

ABSTRACT

An end-of-semester course -reporting strategy serves as one component of an overall curriculum evaluation plan. A framework specifying reporting criteria is used to guide the process. Report elements include integration of concepts in clinical, descriptions of active classroom learning strategies, testing data on concept performance, and exam statistics. Grade distribution and standardized testing scores are also reported. The report-out strategy has helped identify curricular strengths and weaknesses, encouraged instructional collaboration among faculty, informed decision-making, and contributed significantly to a successful curriculum transformation. The strategy has supported improved program outcomes in standardized testing scores and licensure pass rates.

PMID:36007099 | DOI:10.1097/01.NEP.0000000000001025

Am Surg. 2022 Aug 25:31348221121550. doi: 10.1177/00031348221121550. Online ahead of print.

ABSTRACT

BACKGROUND: Psychiatric illnesses affect outcomes in trauma. Studies have examined the relationship between depression, schizophrenia, post-traumatic stress disorder, and other mental disorders with trauma, yet few have examined attention-deficit-hyperactivity disorder (ADHD). Attention-deficit-hyperactivity disorder has been suggested to increase the risk of injury, but severity and outcomes of the injury are not frequently studied. The relationship of additional psychiatric disorders in patients with ADHD to traumatic injury was also examined in this study.

METHODS: A 5-year retrospective analysis was performed using the trauma registry of an urban ACS verified level 1 trauma center. Patients with ADHD were separated into ADHD Only and ADHD+ (having additional psychiatric comorbidities) and compared to a matched population of non-ADHD patients and patients with non-ADHD psychiatric disorders to analyze their demographics and outcomes. Descriptive statistics were used to analyze the data as appropriate.

RESULTS: Seventy-three patients with ADHD were identified, with over half having additional psychiatric comorbidities (58.9%). The majority of ADHD patients were White (54.8%) vs Black (61.6%) at admission. At admission non-ADHD patients had significantly fewer psychiatric comorbidities (11%) compared to ADHD patients (58.9%). ADHD with psychiatric comorbidities patients had significantly higher ISS and longer hospital LOS. However, GCS and ICU LOS were not different between the two groups.

CONCLUSIONS: Patients with ADHD were significantly more likely to have psychiatric comorbidities and experience worse outcomes compared to patients without ADHD.

PMID:36007143 | DOI:10.1177/00031348221121550

Nurs Educ Perspect. 2022 Aug 12. doi: 10.1097/01.NEP.0000000000001024. Online ahead of print.

ABSTRACT

Co-facilitation (combining presence and expertise of clinical faculty and simulationists during all stages of simulation) presents an opportunity to improve student perceptions of effectiveness. Using a retrospective before and after comparison, data on students’ perceptions were collected from baccalaureate nursing students in clinical courses after each simulation experience. Mean differences in Simulation Effectiveness Tool-Modified scores for pre- and post-implementation were compared, as well as scores between levels of students. Statistically significant improvements in student-rated simulation effectiveness were found with co-facilitation. The authors recommend future studies expanding this methodology and considering co-facilitation where feasible.

PMID:36007096 | DOI:10.1097/01.NEP.0000000000001024

PLoS One. 2022 Aug 25;17(8):e0272999. doi: 10.1371/journal.pone.0272999. eCollection 2022.

ABSTRACT

The COVID-19 pandemic has impacted almost all the sectors including agriculture in the country. The present paper investigates the impact of COVID-19 induced lockdown on both wholesale and retail prices of major pulses in India. The daily wholesale and retail price data on five major pulses namely Lentil, Moong, Arhar, Urad and Gram are collected for five major markets in India namely Delhi, Mumbai, Kolkata, Chennai and Hyderabad during the period January, 2019 to September, 2020 from Ministry of Consumer Affairs, Food & Public Distribution, Government of India. The Government of India declared nationwide lockdown since March, 24, to May, 31, 2020 in different phases in order to restrict the spread of the infection due to COVID-19. To see the impact of lockdown on price and price volatility, time series model namely Autoregressive integrated moving average (ARIMA) model with error following Generalized autoregressive conditional heteroscedastic (GARCH) model incorporating exogenous variable as lockdown dummy in both mean as well variance equations. It is observed that in almost all the markets, lockdown has significant impact on price of the pulses whereas in few cases, it has significant impact on price volatility.

PMID:36007088 | DOI:10.1371/journal.pone.0272999

PLoS One. 2022 Aug 25;17(8):e0272849. doi: 10.1371/journal.pone.0272849. eCollection 2022.

ABSTRACT

INTRODUCTION: Institutional delivery is crucial to reduce maternal and neonatal mortality as well as serious morbidities. However, in Ethiopia, home delivery (attended by an unskilled birth attendant) after antenatal care (ANC) visit is highly in practice. Therefore, this study aimed to assess the spatial variation and determinants of home delivery after antenatal care visits in Ethiopia.

METHOD: A secondary data analysis was conducted using the 2019 mini Ethiopian demographic and health survey. A total of 2,923 women who had ANC visits were included. Spatial analysis was done by using GIS 10.7 and SaTscan 9.6. The risk areas for home delivery from GIS and spatial scan statistics results were reported. A multi-level logistic regression model was fitted using Stata14 to identify individual and community-level factors associated with home delivery after ANC visit. Finally, AOR with 95% CI and random effects were reported.

RESULT: Home delivery after ANC visit was spatially clustered in Ethiopia(Moran’s index = 0.52, p-value <0.01). The primary clusters were detected in Oromia and SNNP region (LLR = 37.48, p < 0.001 and RR = 2.30) and secondary clusters were located in Benishangul Gumuz, Amhara, Tigray and Afar (LLR = 29.45, p<0.001 and RR = 1.54). Being rural resident (AOR = 2.52; 95%CI 1.09-5.78), having no formal education (AOR = 3.19;95% CI 1.11-9.16), being in the poor (AOR = 2.20;95%CI 1.51-3.22) and middle wealth index (AOR = 2.07;95% CI 1.44-2.98), having one ANC visit (AOR = 2.64; 95% CI 1.41-4.94), and living in the agrarian region (AOR = 3.63; 95%CI 1.03-12.77) had increased the odds of home delivery after ANC visit.

CONCLUSION AND RECOMMENDATION: Home delivery after ANC visit was spatially clustered in Ethiopia. Factors like maternal education, wealth index, number of ANC visits, residency and region were significantly associated with home delivery after ANC visit. Therefore, it is better to increase the number of ANC contact by giving health education, especially for women with low levels of education and better to improve the wealth status of women. A special strategy is also vital to reduce home delivery after ANC visit in those high-risk regions.

PMID:36007083 | DOI:10.1371/journal.pone.0272849

PLoS One. 2022 Aug 25;17(8):e0272718. doi: 10.1371/journal.pone.0272718. eCollection 2022.

ABSTRACT

In low- and middle-income countries (LMIC), measurement of symphysis fundal height (SFH) is often the only available method of estimating gestational age (GA) in pregnancy. This systematic review aims to summarize methods of SFH measurement and assess the accuracy of SFH for the purpose of GA estimation. We searched PubMed, EMBASE, Cochrane, Web of Science, POPLINE, and WHO Global Health Libraries from January 1980 through November 2021. For SFH accuracy, we pooled the variance of the mean difference between GA confirmed by ultrasound versus SFH. Of 1,003 studies identified, 37 studies were included. Nineteen different SFH measurement techniques and 13 SFH-to-GA conversion methods were identified. In pooled analysis of five studies (n = 5838 pregnancies), 71% (95% CI: 66-77%) of pregnancies dated by SFH were within ±14 days of ultrasound confirmed dating. Using the 1 cm SFH = 1wk assumption, SFH underestimated GA compared with ultrasound-confirmed GA (mean bias: -14.0 days) with poor accuracy (95% limits of agreement [LOA]: ±42.8 days; n = 3 studies, 2447 pregnancies). Statistical modeling of three serial SFH measurements performed better, but accuracy was still poor (95% LOA ±33 days; n = 4 studies, 4391 pregnancies). In conclusion, there is wide variation in SFH measurement and SFH-to-GA conversion techniques. SFH is inaccurate for estimating GA and should not be used for GA dating. Increasing access to quality ultrasonography early in pregnancy should be prioritized to improve gestational age assessment in LMIC.

PMID:36007078 | DOI:10.1371/journal.pone.0272718

PLoS One. 2022 Aug 25;17(8):e0252695. doi: 10.1371/journal.pone.0252695. eCollection 2022.

ABSTRACT

The Amazon Continental Shelf (ACS) is a complex habitat that receives a large annual freshwater discharge into the ocean, producing a superficial plume and carrying with it large amounts of nutrients to the continental shelf along thousands of kilometers while sustaining high biodiversity in the estuary-ocean continuum. For the first time, this study monitored six sites in a wide transect with approximately 240 km radius on the ACS every 2-4 months. The objectives were (1) to analyze the composition of larval Brachyuran crabs and (2) to predict the importance of environmental parameters (temperature, salinity and chlorophyll-a) in structuring their abundance. A total of 17,759 larvae identified were distributed in 8 families and 24 taxa. The water salinity was the best predictor of larval distribution. The statistical models used indicated that Panopeidae and Portunidae larvae are more frequent and more likely to occur in shallow water layers, while Calappidae occur in deeper layers, and Grapsidae, Ocypodidae, Sesarmidae, Pinnotheridae and Leucosiidae occur similarly in both strata. The larval dispersal extent varies among families and throughout the year while the groups are distributed in different salinities along the platform. The probability of occurrence of Portunidae is higher in ocean water (≥ 33.5); Grapsidae, Panopeidae, and Pinnotheridae is higher in intermediate and ocean salinity waters (25.5 to 33.5); Ocypodidae, Sesarmidae and Calappidae is higher in estuarine and intermediate salinity waters (5 to 25.5), whereas Leucosiidae, euryhaline, occur in all salinities (5 to 33.5). Furthermore, the Amazon River seasonal flow and plume movement throughout the year not only regulate the larval distribution and dispersion of estuarine species but are also fundamental for the ACS species, providing the necessary nutrient input for larval development in the region.

PMID:36007076 | DOI:10.1371/journal.pone.0252695

PLoS One. 2022 Aug 25;17(8):e0273154. doi: 10.1371/journal.pone.0273154. eCollection 2022.

ABSTRACT

This study uses a quasi-experimental method, Geographic Regression Discontinuity Design (GRDD), to evaluate the actual effect of establishing Yangtze River Delta and Pearl River Delta urban agglomerations on enterprise innovation. GRDD is a design in which a geographic boundary splits the units into treated and control areas in an as-if random fashion, and the shortest distances from each enterprise’s location to the boundary of urban agglomeration calculated by ArcGIS are considered as the running variable. The actual effect can be identified by the probability of receiving treatment jumps discontinuously at the known cutoff. It is shown that the establishment of Yangtze River Delta and Pearl River Delta urban agglomerations can significantly improve the enterprise innovation, and this outcome is verified by rigorous robustness tests including the placebo test with pseudo-boundary, the bandwidth sensitivity test, the parametric test with different functional forms and the extreme value test. Further, the influence mechanisms of state-level urban agglomerations promoting enterprise innovation are explored by Staggered DID. It is confirmed that the urban agglomeration construction can promote enterprise innovation through financial support and regional coordination channels.

PMID:36007065 | DOI:10.1371/journal.pone.0273154

PLoS Comput Biol. 2022 Aug 25;18(8):e1010444. doi: 10.1371/journal.pcbi.1010444. Online ahead of print.

ABSTRACT

Distant metastasis-free survival (DMFS) curves are widely used in oncology. They are classically analyzed using the Kaplan-Meier estimator or agnostic statistical models from survival analysis. Here we report on a method to extract more information from DMFS curves using a mathematical model of primary tumor growth and metastatic dissemination. The model depends on two parameters, α and μ, respectively quantifying tumor growth and dissemination. We assumed these to be lognormally distributed in a patient population. We propose a method for identification of the parameters of these distributions based on least-squares minimization between the data and the simulated survival curve. We studied the practical identifiability of these parameters and found that including the percentage of patients with metastasis at diagnosis was critical to ensure robust estimation. We also studied the impact and identifiability of covariates and their coefficients in α and μ, either categorical or continuous, including various functional forms for the latter (threshold, linear or a combination of both). We found that both the functional form and the coefficients could be determined from DMFS curves. We then applied our model to a clinical dataset of metastatic relapse from kidney cancer with individual data of 105 patients. We show that the model was able to describe the data and illustrate our method to disentangle the impact of three covariates on DMFS: a categorical one (Führman grade) and two continuous ones (gene expressions of the macrophage mannose receptor 1 (MMR) and the G Protein-Coupled Receptor Class C Group 5 Member A (GPRC5a)gene). We found that all had an influence in metastasis dissemination (μ), but not on growth (α).

PMID:36007057 | DOI:10.1371/journal.pcbi.1010444

Science. 2022 Aug 26;377(6609):928-931. doi: 10.1126/science.abq4481. Epub 2022 Aug 25.

ABSTRACT

Funding formula reform may help address unequal impacts of uncertainty from data error and privacy protections.

PMID:36007047 | DOI:10.1126/science.abq4481