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Nevin Manimala Statistics

Nurses’ satisfaction with an educational web application to prevent transmission of multidrug-resistant organisms

Nurs Health Sci. 2024 Jun;26(2):e13126. doi: 10.1111/nhs.13126.

ABSTRACT

Multidrug-resistant organism infections are a serious health problem globally, and can result in patient mortality and morbidity. In this descriptive study, we produced the first web application for transmission prevention specific to the situation based on nursing experience, knowledge, and practice guidelines and to evaluate web application satisfaction among Thai nurses. The sample comprised 282 Thai registered nurses experienced in caring for patients with multidrug-resistant organisms in a tertiary hospital. A demographic form and knowledge test were completed anonymously online. Data were analyzed using descriptive statistics. The application emphasized crucial topics for which participants had low preliminary knowledge and included tutorial sessions, pictures, video clips, drills, and a post-test. The application was piloted with a random sample of 30 nurses, and an instrument tested their satisfaction with this. Results revealed that preliminary knowledge scores for preventing transmission were moderate, and participants were highly satisfied with the application. Findings suggest the application is suitable for Thai nurses and could be applied to nursing practice elsewhere. However, further testing is recommended before implementing it into nursing practice.

PMID:38754867 | DOI:10.1111/nhs.13126

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Age and donor site do not affect cell growth and biologic activity in Autologous Tendon-cell Implantation (OrthoATI™) for treatment of patellar tendon and palmaris longus tendon

J ISAKOS. 2024 May 14:S2059-7754(24)00094-4. doi: 10.1016/j.jisako.2024.05.007. Online ahead of print.

ABSTRACT

OBJECTIVES: Autologous tendon cell implantation (OrthoATI™) therapy has demonstrated efficacy in treating patients with tendinopathy at various anatomical sites. This study evaluates the effect of patient age, gender and tendon biopsy site on morphology, growth and gene expression of autologous tendon cells used to treat chronic tendinopathy.

METHODS: Patients undergoing OrthoATI™ for tendinopathies between 2020 and 2022 were initially treated by biopsies taken from patella tendon (PT) or palmaris longus tendon (PL). Autologous tenocytes were treated at a Good Manufacturing Practice (GMP) cell laboratory where they were isolated, cultured and expanded for four to six weeks. Cell morphology was assessed using phase contrast microscopy. Droplet digital PCR (ddPCR) was utilised for gene expression analysis. Dichotomous results were compared between groups using x2 or Fisher’s exact tests with no adjustment for multiple comparisons. The non-parametric Mann-Whitney U and Kruskal-Wallis tests were utilised for the sex and age (<35y, 35-44y, 45-54y, >55y) analyses respectively. All analyses were performed using IBM SPSS v27, and a two-tailed P-value of <0.05 was considered statistically significant.

RESULTS: 149 patients were included in the analysis. The PT was biopsied in 63 patients, and PL in 86 patients. There were no observer effects for age and gender between PT and PL groups. There was no statistical significance between the PT and PL tendons for cell morphology, average cell population doubling time (PDT) (PT 83.9 vs PL 82.7 hours, p=0.482), cellular yield (PT 16.2 vs PL 15.2×106 , p=0.099), and cell viability (PT 98.7 vs PL 99.0%, p=0.277). Additionally, ddPCR analyses showed no statistical significance found in tenogenic gene expression including collagen type I (COL1, p=0.86), tenomodulin (TNMD, p=0.837) and scleraxis (SCX, p=0.331) between PT- and PL-derived tendon cells. An age stratification analysis found no effect on growth and gene expression. COL1 was found to be higher in males when compared to females (P<0.001), but otherwise no difference was seen in growth and gene expression in the gender analysis. No post-biopsy clinical complications were reported for either group.

CONCLUSION: This study has shown that the growth and bioactivities of tendon cells from tendon biopsies for OrthoATI™ are not affected by tendon donor site and age.

LEVEL OF EVIDENCE: IV.

PMID:38754838 | DOI:10.1016/j.jisako.2024.05.007

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Comparative effectiveness of Denosumab vs alendronate among postmenopausal women with osteoporosis

J Bone Miner Res. 2024 May 16:zjae079. doi: 10.1093/jbmr/zjae079. Online ahead of print.

ABSTRACT

Although clinical trials have shown that denosumab significantly increases bone mineral density at key skeletal sites more than oral bisphosphonates, evidence is lacking from head-to-head randomized trials evaluating fracture outcomes. This retrospective cohort study uses administrative claims data from Medicare fee-for service beneficiaries to evaluate the comparative effectiveness of denosumab versus alendronate in reducing fracture risk among women with postmenopausal osteoporosis (PMO) in the US. Women with PMO ≥ 66 years of age with no prior history of osteoporosis treatment, who initiated denosumab (n = 89 115) or alendronate (n = 389 536) from 2012 to 2018, were followed from treatment initiation until the first of a specific fracture outcome, treatment discontinuation or switch, end of study (December 31, 2019), or other censoring criteria. A doubly robust inverse-probability of treatment and censoring weighted function was used to estimate the risk ratio associated with the use of denosumab compared with alendronate for hip, nonvertebral (NV; includes hip, humerus, pelvis, radius/ulna, other femur), non-hip nonvertebral (NHNV), hospitalized vertebral (HV), and major osteoporotic (MOP; consisting of NV and HV) fractures. Overall, denosumab reduced the risk of MOP by 39%, hip by 36%, NV by 43%, NHNV by 50%, and HV fractures by 30% compared with alendronate. Denosumab reduced the risk of MOP fractures by 9% at year 1, 12% at year 2, 18% at year 3, and 31% at year 5. An increase in the magnitude of fracture risk reduction with increasing duration of exposure was also observed for other NV fracture outcomes. In this cohort of almost half-a-million treatment-naive women with PMO, we observed clinically significant reductions in the risk of MOP, hip, NV, NHNV, and HV fractures for patients on denosumab compared with alendronate. Patients who remained on denosumab for longer periods of time experienced greater reductions in fracture risk.

PMID:38753892 | DOI:10.1093/jbmr/zjae079

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Landscape drives zoonotic malaria prevalence in non-human primates

Elife. 2024 May 16;12:RP88616. doi: 10.7554/eLife.88616.

ABSTRACT

Zoonotic disease dynamics in wildlife hosts are rarely quantified at macroecological scales due to the lack of systematic surveys. Non-human primates (NHPs) host Plasmodium knowlesi, a zoonotic malaria of public health concern and the main barrier to malaria elimination in Southeast Asia. Understanding of regional P. knowlesi infection dynamics in wildlife is limited. Here, we systematically assemble reports of NHP P. knowlesi and investigate geographic determinants of prevalence in reservoir species. Meta-analysis of 6322 NHPs from 148 sites reveals that prevalence is heterogeneous across Southeast Asia, with low overall prevalence and high estimates for Malaysian Borneo. We find that regions exhibiting higher prevalence in NHPs overlap with human infection hotspots. In wildlife and humans, parasite transmission is linked to land conversion and fragmentation. By assembling remote sensing data and fitting statistical models to prevalence at multiple spatial scales, we identify novel relationships between P. knowlesi in NHPs and forest fragmentation. This suggests that higher prevalence may be contingent on habitat complexity, which would begin to explain observed geographic variation in parasite burden. These findings address critical gaps in understanding regional P. knowlesi epidemiology and indicate that prevalence in simian reservoirs may be a key spatial driver of human spillover risk.

PMID:38753426 | DOI:10.7554/eLife.88616

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Evaluating the difference in perception of the Akinosi technique among dentistry students: A comparison between theoretical and practical learning

J Dent Educ. 2024 May 16. doi: 10.1002/jdd.13570. Online ahead of print.

ABSTRACT

INTRODUCTION: Effective pain control is crucial in dental practice; thus, local anesthetic techniques have been extensively taught. The Halstead technique is the most commonly used inferior alveolar nerve block despite its relatively high failure rate. On the other hand, the Vazirani‒Akinosi technique (VAT) is less commonly taught. This study evaluated changes in final-year students’ perceptions of VAT after a period of active learning.

METHODS: This prospective randomized study was performed in 2022 and included fifth-year dental students (n = 91). The study group (n = 49) received practical VAT training during oral surgery internships, whereas the control group (n = 42) did not. A Likert-scale questionnaire assessed students’ perceptions, theoretical knowledge, and difficulty levels. An independent sample t-test was used for comparison and the statistical significance level was set at p < 0.05.

RESULTS: The survey response rate was 100%. Statistical analysis revealed significant differences between the groups for seven of the 12 questionnaire statements (p < 0.05). Overall, perception scores favored the study group, indicating a more positive response. The statements related to theoretical knowledge, except for one statement, showed no significant differences (p > 0.05).

CONCLUSION: Practical training significantly improved students’ perceptions of VAT, demonstrating the importance of active learning in dental education. Faculties should integrate active learning methods to enhance students’ clinical skills and prepare them for professional practice.

PMID:38753425 | DOI:10.1002/jdd.13570

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A Digital Behavioral Activation Intervention (JuNEX) for Pregnant Women With Subclinical Depression Symptoms: Explorative Co-Design Study

JMIR Hum Factors. 2024 May 16;11:e50098. doi: 10.2196/50098.

ABSTRACT

BACKGROUND: Digital interventions are gaining increasing interest due to their structured nature, ready availability, and self-administered capabilities. Perinatal women have expressed a desire for such interventions. In this regard, behavioral activation interventions may be particularly suitable for digital administration.

OBJECTIVE: This study aims to exploratorily investigate and compare the feasibility of the internet-based self-help guided versus unguided version of the Brief Behavioral Activation Treatment for Depression-Revised, an empirically supported in-person behavioral activation protocol, targeting pregnant women with subclinical depression symptoms. A user-centered design is used, whereby data are collected with the intent of evaluating how to adjust the intervention in line with pregnant women’s needs. Usability and user engagement were evaluated.

METHODS: A total of 11 Italian pregnant women with subclinical depressive symptoms based on the Patient Health Questionnaire-9 (scoring<15) participated in this study; of them, 6 (55%) women were randomly assigned to the guided group (age: mean 32.17, SD 4.36 years) and 5 (45%) to the unguided group (age: mean 31, SD 4.95 years). The Moodle platform was used to deliver the interventions in an e-learning format. It consisted of 6 core modules and 3 optional modules; the latter aimed at revising the content of the former. In the guided group, each woman had weekly chats with their assigned human guide to support them in the homework revisions. The intervention content included text, pictures, and videos. Semistructured interviews were conducted, and descriptive statistics were analyzed.

RESULTS: Collectively, the data suggest that the guided intervention was better accepted than the unguided one. However, the high rates of dropout (at T6: guided group: 3/6, 50%; unguided: 4/5, 80%) suggest that a digital replica of Behavioral Activation Treatment for Depression-Revised may not be feasible in an e-learning format. The reduced usability of the platform used was reported, and homework was perceived as too time-consuming and effort-intensive. Moreover, the 6 core modules were deemed sufficient for the intervention’s goals, suggesting that the 3 optional modules could be eliminated. Nevertheless, participants from both groups expressed satisfaction with the content and found it relevant to their pregnancy experiences.

CONCLUSIONS: Overall, the findings have emphasized both the intervention’s merits and shortcomings. Results highlight the unsuitability of replicating an in-person protocol digitally as well as of the use of nonprofessional tools for the implementation of self-help interventions, ultimately making the intervention not feasible. Pregnant women have nonetheless expressed a desire to receive psychological support and commented on the possibilities of digital psychosocial supports, particularly those that are app-based. The information collected and the issues identified here are important to guide the development and co-design of a more refined platform for the intervention deployment and to tailor the intervention’s content to pregnant women’s needs.

PMID:38753421 | DOI:10.2196/50098

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Psychometric Assessment of an Item Bank for Adaptive Testing on Patient-Reported Experience of Care Environment for Severe Mental Illness: Validation Study

JMIR Ment Health. 2024 May 16;11:e49916. doi: 10.2196/49916.

ABSTRACT

BACKGROUND: The care environment significantly influences the experiences of patients with severe mental illness and the quality of their care. While a welcoming and stimulating environment enhances patient satisfaction and health outcomes, psychiatric facilities often prioritize staff workflow over patient needs. Addressing these challenges is crucial to improving patient experiences and outcomes in mental health care.

OBJECTIVE: This study is part of the Patient-Reported Experience Measure for Improving Quality of Care in Mental Health (PREMIUM) project and aims to establish an item bank (PREMIUM-CE) and to develop computerized adaptive tests (CATs) to measure the experience of the care environment of adult patients with schizophrenia, bipolar disorder, or major depressive disorder.

METHODS: We performed psychometric analyses including assessments of item response theory (IRT) model assumptions, IRT model fit, differential item functioning (DIF), item bank validity, and CAT simulations.

RESULTS: In this multicenter cross-sectional study, 498 patients were recruited from outpatient and inpatient settings. The final PREMIUM-CE 13-item bank was sufficiently unidimensional (root mean square error of approximation=0.082, 95% CI 0.067-0.097; comparative fit index=0.974; Tucker-Lewis index=0.968) and showed an adequate fit to the IRT model (infit mean square statistic ranging between 0.7 and 1.0). DIF analysis revealed no item biases according to gender, health care settings, diagnosis, or mode of study participation. PREMIUM-CE scores correlated strongly with satisfaction measures (r=0.69-0.78; P<.001) and weakly with quality-of-life measures (r=0.11-0.21; P<.001). CAT simulations showed a strong correlation (r=0.98) between CAT scores and those of the full item bank, and around 79.5% (396/498) of the participants obtained a reliable score with the administration of an average of 7 items.

CONCLUSIONS: The PREMIUM-CE item bank and its CAT version have shown excellent psychometric properties, making them reliable measures for evaluating the patient experience of the care environment among adults with severe mental illness in both outpatient and inpatient settings. These measures are a valuable addition to the existing landscape of patient experience assessment, capturing what truly matters to patients and enhancing the understanding of their care experiences.

TRIAL REGISTRATION: ClinicalTrials.gov NCT02491866; https://clinicaltrials.gov/study/NCT02491866.

PMID:38753416 | DOI:10.2196/49916

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Predictors of cognitive aging profiles over 15 years: A longitudinal population-based study

Psychol Aging. 2024 May 16. doi: 10.1037/pag0000807. Online ahead of print.

ABSTRACT

The present study aimed to characterize profiles of cognitive aging and how these can be predicted from interindividual differences in demographic, lifestyle, health, and genetic factors. The participants were 1,966 older adults (mean baseline age = 71.6 years; 62.9% female), free from dementia at baseline and with at least two cognitive assessments over the 15-year follow-up, from the population-based Swedish National Study on Aging and Care in Kungsholmen. The cognitive assessment comprised tests of semantic and episodic memory, letter and category fluency, perceptual speed, and executive function. First, we estimated the level and change within each of the cognitive domains with linear mixed effect models, based on which we grouped our sample into participants with “maintained high cognition,” “moderate cognitive decline,” or “accelerated cognitive decline.” Second, we analyzed determinants of group membership within each cognitive domain with multinomial logistic regression. Third, group memberships within each cognitive domain were used to derive general cognitive aging profiles with latent class analysis. Fourth, the determinants of these profile memberships were analyzed with multinomial logistic regression. Follow-up analyses targeted profiles and predictors specifically related to the rate of cognitive change. We identified three latent profiles of overall cognitive performance during the follow-up period with 31.6% of the sample having maintained high cognition, 50.6% having moderate cognitive decline, and 17.8% having accelerated cognitive decline. In multiadjusted analyses, maintained high cognition was predicted by female sex, higher education, and faster walking speed. Smoking, loneliness, and being an ε4 carrier were associated with a lower likelihood of maintained high cognition. Higher age, diagnosis of diabetes, depression, and carrying the apolipoprotein E ε4 allele increased the likelihood of accelerated cognitive decline. Factors at baseline that could significantly predict profile membership within the specific cognitive domains included age, sex, years of education, walking speed, diabetes, and the ε4 allele. Of note, these factors differed across cognitive domains. In sum, we identified demographic, lifestyle, health, and genetic factors of interindividual differences in domain-specific and general cognitive aging profiles, some of which are modifiable. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

PMID:38753406 | DOI:10.1037/pag0000807

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Flexible model-based non-negative matrix factorization with application to mutational signatures

Stat Appl Genet Mol Biol. 2024 May 16;23(1). doi: 10.1515/sagmb-2023-0034. eCollection 2024 Jan 1.

ABSTRACT

Somatic mutations in cancer can be viewed as a mixture distribution of several mutational signatures, which can be inferred using non-negative matrix factorization (NMF). Mutational signatures have previously been parametrized using either simple mono-nucleotide interaction models or general tri-nucleotide interaction models. We describe a flexible and novel framework for identifying biologically plausible parametrizations of mutational signatures, and in particular for estimating di-nucleotide interaction models. Our novel estimation procedure is based on the expectation-maximization (EM) algorithm and regression in the log-linear quasi-Poisson model. We show that di-nucleotide interaction signatures are statistically stable and sufficiently complex to fit the mutational patterns. Di-nucleotide interaction signatures often strike the right balance between appropriately fitting the data and avoiding over-fitting. They provide a better fit to data and are biologically more plausible than mono-nucleotide interaction signatures, and the parametrization is more stable than the parameter-rich tri-nucleotide interaction signatures. We illustrate our framework in a large simulation study where we compare to state of the art methods, and show results for three data sets of somatic mutation counts from patients with cancer in the breast, Liver and urinary tract.

PMID:38753402 | DOI:10.1515/sagmb-2023-0034

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Examining the impact of design-comparable effect size on the analysis of single-case design in special education

Sch Psychol. 2024 May 16. doi: 10.1037/spq0000628. Online ahead of print.

ABSTRACT

Initially excluded from many evaluations of education research, single-case designs have recently received wider acceptance within and beyond special education. The growing approval of single-case design has coincided with an increasing departure from convention, such as the visual analysis of results, and the emphasis on effect sizes comparable with those associated with group designs. The use of design-comparable effect sizes by the What Works Clearinghouse has potential implications for the experimental literature in special education, which is largely composed of single-case designs that may not meet the assumptions required for statistical analysis. This study examined the compatibility of single-case design studies appearing in 33 special education journals with the design-comparable effect sizes and related assumptions described by the What Works Clearinghouse. Of the 1,425 randomly selected single-case design articles published from 1999 to 2021, 59.88% did not satisfy assumptions related to design, number of participants, or treatment replications. The rejection rate varied based on journal emphasis, with publications dedicated to students with developmental disabilities losing the largest proportion of articles. A description of the results follows a discussion of the implications for the interpretation of the evidence base. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

PMID:38753395 | DOI:10.1037/spq0000628