Origins, characteristics and destination of nursing students in South West England

Abstract Background Worldwide there are concerns about the supply of nurses into health systems. Understanding and balancing the supply of and demand for healthcare professionals is crucial to efficient healthcare delivery, yet there is relatively little research that examines in detail where nursing students come from and where they go after qualification. Objectives To investigate the demographic characteristics of applicants to nursing and midwifery programmes in England, those that are enrolled, attrition during study, and their career intentions on graduation. Methods A descriptive case study was conducted in south west England drawing on a complementary set of analyses of routinely collected application and enrolment data from 2017–2020. These were augmented by derivation of student deprivation indices and a follow-up study of nursing and midwifery students qualifying between May 2020 and April 2021. Results The percentage of males applying for nursing doubled and the mean age of all enrolled students (except midwifery) increased during the study period. The mean level of deprivation of applicants increased from the 51st to the 55th centile indicating widening of participation. Most applying and enrolled students originated from the same region as the nursing school and remained working there on qualification. Successively more males than females were lost from the system at each stage from application to qualification. Qualifying students most common job choice was within acute Trusts, with Medical, District nursing and surgical being the most common choices. The most important factors regarding job choice were location, the characteristics of the Trust, having been there as a student, and family considerations. Conclusions The data provide useful information on the nursing educational pipeline. The data discussed here raise questions that would benefit from further regional and national empirical research. </jats:sec

High prevalence of antibiotic resistance in commensal Escherichia coli from healthy human sources in community settings

AbstractAntibiotic resistance is a global health crisis that requires urgent action to stop its spread. To counteract the spread of antibiotic resistance, we must improve our understanding of the origin and spread of resistant bacteria in both community and healthcare settings. Unfortunately, little attention is being given to contain the spread of antibiotic resistance in community settings (i.e., locations outside of a hospital inpatient, acute care setting, or a hospital clinic setting), despite some studies have consistently reported a high prevalence of antibiotic resistance in the community settings. This study aimed to investigate the prevalence of antibiotic resistance in commensal Escherichia coli isolates from healthy humans in community settings in LMICs. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we synthesized studies conducted from 1989 to May 2020. A total of 9363 articles were obtained from the search and prevalence data were extracted from 33 articles and pooled together. This gave a pooled prevalence of antibiotic resistance (top ten antibiotics commonly prescribed in LMICs) in commensal E. coli isolates from human sources in community settings in LMICs of: ampicillin (72% of 13,531 isolates, 95% CI: 65–79), cefotaxime (27% of 6700 isolates, 95% CI: 12–44), chloramphenicol (45% of 7012 isolates, 95% CI: 35–53), ciprofloxacin (17% of 10,618 isolates, 95% CI: 11–25), co-trimoxazole (63% of 10,561 isolates, 95% CI: 52–73), nalidixic acid (30% of 9819 isolates, 95% CI: 21–40), oxytetracycline (78% of 1451 isolates, 95% CI: 65–88), streptomycin (58% of 3831 isolates, 95% CI: 44–72), tetracycline (67% of 11,847 isolates, 95% CI: 59–74), and trimethoprim (67% of 3265 isolates, 95% CI: 59–75). Here, we provided an appraisal of the evidence of the high prevalence of antibiotic resistance by commensal E. coli in community settings in LMICs. Our findings will have important ramifications for public health policy design to contain the spread of antibiotic resistance in community settings. Indeed, commensal E. coli is the main reservoir for spreading antibiotic resistance to other pathogenic enteric bacteria via mobile genetic elements.</jats:p

Women's experiences of ovulation testing: A qualitative analysis

© 2015 Jones et al.Background: The introduction of home digital ovulation tests (OTs) has provided a simple solution for women wishing to optimise the timing of intercourse when trying to conceive. However, despite this, very little is understood about women's experiences of using these tests. Methods: We carried out qualitative, semi-structured telephone interviews with women who were seeking to conceive (not actively undergoing clinical investigation/fertility treatment) from the general UK population. The interviews were conducted following participation in a randomised controlled trial (RCT) in which participants were either provided with digital home OTs to assist in timing intercourse (n = 18) or advised to have intercourse every 2-3 days (n = 18). The interviews were digitally recorded, transcribed and then analysed using Framework analysis to identify the themes. Results: Data saturation was reached after 36 interviews. The use of the OT appeared to elicit 10 key themes, which could be described within the context of three overarching issues: 1) a positive impact (understanding the menstrual cycle, confirming when ovulating, emotional support, improving the relationship), 2) a negative impact (changing sex life and relationship with their partner, the emotional consequences of prolonged use, questions and uncertainty about what their results mean for them) and 3) the experiences of trying to conceive in general (use of clinical guidance and emotional experience). Conclusions: Overall, the use of home OTs were found to affect women's thoughts and feelings in multiple ways during attempts to conceive. Although some women reported a range of negative experiences when using OTs, they also reported similar negative experiences when trying to conceive without using the tests. However, there were many positive themes associated with OT use, including an increased understanding of the menstrual cycle, confirmation of ovulation timing and providing a source of help and support when trying to conceive. Overall, when women are trying to conceive, ensuring they have access to high-quality information, including use of OT, may be of benefit to help address some of the questions and uncertainties that were raised by the participants in this study. Trial registration number: NCT01084304

High prevalence of antibiotic resistance in commensal Escherichia coli from healthy human sources in community sett

Antibiotic resistance is a global health crisis that requires urgent action to stop its spread. To counteract the spread of antibiotic resistance, we must improve our understanding of the origin and spread of resistant bacteria in both community and healthcare settings. Unfortunately, little attention is being given to contain the spread of antibiotic resistance in community settings (i.e., locations outside of a hospital inpatient, acute care setting, or a hospital clinic setting), despite some studies have consistently reported a high prevalence of antibiotic resistance in the community settings. This study aimed to investigate the prevalence of antibiotic resistance in commensal Escherichia coli isolates from healthy humans in community settings in LMICs. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we synthesized studies conducted from 1989 to May 2020. A total of 9363 articles were obtained from the search and prevalence data were extracted from 33 articles and pooled together. This gave a pooled prevalence of antibiotic resistance (top ten antibiotics commonly prescribed in LMICs) in commensal E. coli isolates from human sources in community settings in LMICs of: ampicillin (72% of 13,531 isolates, 95% CI: 65–79), cefotaxime (27% of 6700 isolates, 95% CI: 12–44), chloramphenicol (45% of 7012 isolates, 95% CI: 35–53), ciprofloxacin (17% of 10,618 isolates, 95% CI: 11–25), co-trimoxazole (63% of 10,561 isolates, 95% CI: 52–73), nalidixic acid (30% of 9819 isolates, 95% CI: 21–40), oxytetracycline (78% of 1451 isolates, 95% CI: 65–88), streptomycin (58% of 3831 isolates, 95% CI: 44–72), tetracycline (67% of 11,847 isolates, 95% CI: 59–74), and trimethoprim (67% of 3265 isolates, 95% CI: 59–75). Here, we provided an appraisal of the evidence of the high prevalence of antibiotic resistance by commensal E. coli in community settings in LMICs. Our findings will have important ramifications for public health policy design to contain the spread of antibiotic resistance in community settings. Indeed, commensal E. coli is the main reservoir for spreading antibiotic resistance to other pathogenic enteric bacteria via mobile genetic elements

Targeted sequencing of 10,198 samples confirms abnormalities in neuronal activity and implicates voltage-gated sodium channels in schizophrenia pathogenesis

Background Sequencing studies have pointed to the involvement in schizophrenia of rare coding variants in neuronally expressed genes, including activity-regulated cytoskeleton-associated protein (ARC) and N-methyl-d-aspartate receptor (NMDAR) complexes; however, larger samples are required to reveal novel genes and specific biological mechanisms. Methods We sequenced 187 genes, selected for prior evidence of association with schizophrenia, in a new dataset of 5,207 cases and 4,991 controls. Included among these genes were members of ARC and NMDAR post-synaptic protein complexes, as well as voltage-gated sodium and calcium channels. We performed a rare variant meta-analysis with published sequencing data for a total of 11,319 cases, 15,854 controls and 1,136 trios. Results While no individual gene was significantly associated with schizophrenia after genome-wide correction for multiple testing, we strengthen the evidence that rare exonic variants in the synaptic complexes ARC (P = 4.0 x 10-4) and NMDAR (P = 1.7 x 10-5) are risk factors for schizophrenia. In addition, we found that LoF variants and missense variants at paralog conserved sites were enriched in voltage-gated sodium channels, particularly the alpha subunits (P = 8.6 x 10-4). Conclusions In one of the largest sequencing studies of schizophrenia to date, we provide novel evidence that multiple voltage-gated sodium channels are involved in schizophrenia pathogenesis and confirm the involvement of ARC and NMDAR post-synaptic complexes

Targeted Sequencing of 10,198 Samples Confirms Abnormalities in Neuronal Activity and Implicates Voltage-Gated Sodium Channels in Schizophrenia Pathogenesis

Background Sequencing studies have pointed to the involvement in schizophrenia of rare coding variants in neuronally expressed genes, including activity-regulated cytoskeleton-associated protein (ARC) and N-methyl-D-aspartate receptor (NMDAR) complexes; however, larger samples are required to reveal novel genes and specific biological mechanisms. Methods We sequenced 187 genes, selected for prior evidence of association with schizophrenia, in a new dataset of 5207 cases and 4991 controls. Included among these genes were members of ARC and NMDAR postsynaptic protein complexes, as well as voltag

Probability of major depression diagnostic classification using semi-structured vs. fully structured diagnostic interviews

Background: Different diagnostic interviews are used as reference standards for major depression classification in research. Semi-structured interviews involve clinical judgement, whereas fully structured interviews are completely scripted. The Mini International Neuropsychiatric Interview (MINI), a brief fully structured interview, is also sometimes used. It is not known whether interview method is associated with probability of major depression classification. Aims: To evaluate the association between interview method and odds of major depression classification, controlling for depressive symptom scores and participant characteristics. Method: Data collected for an individual participant data meta-analysis of Patient Health Questionnaire-9 (PHQ-9) diagnostic accuracy were analyzed. Binomial Generalized Linear Mixed Models were fit. Results: 17,158 participants (2,287 major depression cases) from 57 primary studies were analyzed. Among fully structured interviews, odds of major depression were higher for the MINI compared to the Composite International Diagnostic Interview (CIDI) [OR (95% CI) = 2.10 (1.15-3.87)]. Compared to semi-structured interviews, fully structured interviews (MINI excluded) were non-significantly more likely to classify participants with low-level depressive symptoms (PHQ-9 scores 6) as having major depression [OR (95% CI) = 3.13 (0.98-10.00)], similarly likely for moderate-level symptoms (PHQ-9 scores 7-15) [OR (95% CI) = 0.96 (0.56-1.66)], and significantly less likely for high-level symptoms (PHQ-9 scores 16) [OR (95% CI) = 0.50 (0.26-0.97)]. Conclusions: The MINI may identify more depressed cases than the CIDI, and semi- and fully structured interviews may not be interchangeable methods, but these results should be replicated