2,817 research outputs found

    The academic backbone: longitudinal continuities in educational achievement from secondary school and medical school to MRCP(UK) and the specialist register in UK medical students and doctors

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    Background: Selection of medical students in the UK is still largely based on prior academic achievement, although doubts have been expressed as to whether performance in earlier life is predictive of outcomes later in medical school or post-graduate education. This study analyses data from five longitudinal studies of UK medical students and doctors from the early 1970s until the early 2000s. Two of the studies used the AH5, a group test of general intelligence (that is, intellectual aptitude). Sex and ethnic differences were also analyzed in light of the changing demographics of medical students over the past decades. Methods: Data from five cohort studies were available: the Westminster Study (began clinical studies from 1975 to 1982), the 1980, 1985, and 1990 cohort studies (entered medical school in 1981, 1986, and 1991), and the University College London Medical School (UCLMS) Cohort Study (entered clinical studies in 2005 and 2006). Different studies had different outcome measures, but most had performance on basic medical sciences and clinical examinations at medical school, performance in Membership of the Royal Colleges of Physicians (MRCP(UK)) examinations, and being on the General Medical Council Specialist Register. Results: Correlation matrices and path analyses are presented. There were robust correlations across different years at medical school, and medical school performance also predicted MRCP(UK) performance and being on the GMC Specialist Register. A-levels correlated somewhat less with undergraduate and post-graduate performance, but there was restriction of range in entrants. General Certificate of Secondary Education (GCSE)/O-level results also predicted undergraduate and post-graduate outcomes, but less so than did A-level results, but there may be incremental validity for clinical and post-graduate performance. The AH5 had some significant correlations with outcome, but they were inconsistent. Sex and ethnicity also had predictive effects on measures of educational attainment, undergraduate, and post-graduate performance. Women performed better in assessments but were less likely to be on the Specialist Register. Non-white participants generally underperformed in undergraduate and post-graduate assessments, but were equally likely to be on the Specialist Register. There was a suggestion of smaller ethnicity effects in earlier studies. Conclusions: The existence of the Academic Backbone concept is strongly supported, with attainment at secondary school predicting performance in undergraduate and post-graduate medical assessments, and the effects spanning many years. The Academic Backbone is conceptualized in terms of the development of more sophisticated underlying structures of knowledge ('cognitive capital’ and 'medical capital’). The Academic Backbone provides strong support for using measures of educational attainment, particularly A-levels, in student selection

    Construct-level predictive validity of educational attainment and intellectual aptitude tests in medical student selection: meta-regression of six UK longitudinal studies

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    Background: Measures used for medical student selection should predict future performance during training. A problem for any selection study is that predictor-outcome correlations are known only in those who have been selected, whereas selectors need to know how measures would predict in the entire pool of applicants. That problem of interpretation can be solved by calculating construct-level predictive validity, an estimate of true predictor-outcome correlation across the range of applicant abilities. Methods: Construct-level predictive validities were calculated in six cohort studies of medical student selection and training (student entry, 1972 to 2009) for a range of predictors, including A-levels, General Certificates of Secondary Education (GCSEs)/O-levels, and aptitude tests (AH5 and UK Clinical Aptitude Test (UKCAT)). Outcomes included undergraduate basic medical science and finals assessments, as well as postgraduate measures of Membership of the Royal Colleges of Physicians of the United Kingdom (MRCP(UK)) performance and entry in the Specialist Register. Construct-level predictive validity was calculated with the method of Hunter, Schmidt and Le (2006), adapted to correct for right-censorship of examination results due to grade inflation. Results: Meta-regression analyzed 57 separate predictor-outcome correlations (POCs) and construct-level predictive validities (CLPVs). Mean CLPVs are substantially higher (.450) than mean POCs (.171). Mean CLPVs for first-year examinations, were high for A-levels (.809; CI: .501 to .935), and lower for GCSEs/O-levels (.332; CI: .024 to .583) and UKCAT (mean = .245; CI: .207 to .276). A-levels had higher CLPVs for all undergraduate and postgraduate assessments than did GCSEs/O-levels and intellectual aptitude tests. CLPVs of educational attainment measures decline somewhat during training, but continue to predict postgraduate performance. Intellectual aptitude tests have lower CLPVs than A-levels or GCSEs/O-levels. Conclusions: Educational attainment has strong CLPVs for undergraduate and postgraduate performance, accounting for perhaps 65% of true variance in first year performance. Such CLPVs justify the use of educational attainment measure in selection, but also raise a key theoretical question concerning the remaining 35% of variance (and measurement error, range restriction and right-censorship have been taken into account). Just as in astrophysics, ‘dark matter’ and ‘dark energy’ are posited to balance various theoretical equations, so medical student selection must also have its ‘dark variance’, whose nature is not yet properly characterized, but explains a third of the variation in performance during training. Some variance probably relates to factors which are unpredictable at selection, such as illness or other life events, but some is probably also associated with factors such as personality, motivation or study skills

    Factors controlling seasonal succession of the copepods \u3cem\u3eAcartia hudsonica\u3c/em\u3e and \u3cem\u3eA. tonsa\u3c/em\u3e in Narragansett Bay, Rhode Island: temperature and resting egg production

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    We present evidence to show that the timing of the seasonal appearance and disappearance of Acartia hudsonica, the dominant winter-spring copepod in Narragansett Bay, a north temperate estuary, is controlled by temperature and its effect on reproductive rate and formation and hatching of resting eggs. Maximum reproductive rates and growth efficiency for this species were observed at temperatures below those typical of the mid-summer season when it is replaced by Acartia tonsa, the summer dominant. Furthermore, during early summer A. hudsonica produces eggs that do not hatch at the temperatures at which they are produced (\u3e 16 °C) and that will hatch only after exposure to low temperature. These eggs were also present in the sediments of Narragansett Bay and are probably true diapause eggs. It also appears that competition for food is not an important factor controlling seasonal succession of the species. Populations of both Acartia species were observed in 13 m3 enclosed ecosystems which differed from Narragansett Bay in that food supply was increased by addition of nutrients. Timing of the seasonal transition between A. hudsonica and A. tonsa was not altered in any consistent way by these changes, although population size increased in some years

    Receptor for Fc on the surfaces of schistosomes

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    Schistosoma mansoni masks its surface with adsorbed host proteins including erythrocyte antigens, immunoglobulins, major histocompatibility complex class I, and beta (2)-microglobulin (beta (2)m), presumably as a means of avoiding host immune responses, How this is accomplished has not been explained. To identify surface receptors for host proteins, we biotinylated the tegument of live S, mansoni adults and mechanically transformed schistosomula and then removed the parasite surface with detergent, Incubation of biotinylated schistosome surface extracts witt l human immunoglobulin G (IgG) Fc-Sepharose resulted in purification of a 97-kDa protein that was subsequently identified as paramyosin (Pmy), using antiserum specific for recombinant Pmy, Fc also bound recombinant S. mansoni Pmy and native S. japonicum Pmy, Antiserum to Pmy decreased the binding of Pmy to Fc-Sepharose, and no proteins bound after removal of Pmy from extracts. Fluoresceinated human Fe bound to the surface, vestigial penetration glands, and nascent oral cavity of mechanically transformed schistosomula, and rabbit anti-Pmy Fab fragments ablated the binding of Fc to the schistosome surface, Pmy coprecipitated with host IgG from parasite surface extracts, indicating that complexes formed on the parasite surface as well as in vitro. Binding of Pmy to Fe was not inhibited by soluble protein A, suggesting that Pmy does not bind to the region between the CH2 and CH3 domains used by many other Fc-binding proteins. beta (2)m did not bind to the schistosome Fc receptor (Pmy), a finding that contradicts reports from earlier workers but did bind to a heteromultimer of labeled schistosomula surface proteins, This is the first report of the molecular identity of a schistosome Fc receptor; moreover it demonstrates an additional aspect of the unusual and multifunctional properties of Pmy from schistosomes and other parasitic flatworms

    Chapter 3: Mental health treatment and services

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    In this chapter reported use of psychotropic medication and psychological therapy are examined, as well as the extent of use of health care services for a mental health reason (GP, inpatient and outpatient health care) and day and community service use. It should be noted that rates presented are based on participant self-reports, not health records. Misclassifications of type of treatment or service are possible, and which was the providing organisation was not established

    Scaling-up beginning farmers for wholesale production

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    With nearly 15 million people that live within 250 miles of Kansas City, the demand for local food is increasing. Local beginning farmers in the region want to reach an emerging wholesale market. However, selling directly to consumers demands different skills than the wholesale market requires. There are many educational programs offered in the region that are focused on direct to consumer sales. Unfortunately, there is a gap in educational programs that are offered to support beginning farmers that wish to expand into wholesale markets. In 2018, the Beginning Farmer Wholesale Project was started within the Growing Growers Kansas City program in congruence with the overall mission to improve the skills and livelihoods of the region’s growers. The project offers support and training to beginning farmers as they begin to navigate new market opportunities. It provides on-farm technical assistance, mentorship, opportunities to connect to wholesale buyers, a workshop series, a manual and an extensive foodshed GIS map. The ongoing project has seen several contributions to improving farmer access to wholesale markets. As of 2020, six workshops have been conducted that have covered a variety of farm production and marketing skills. Six farmer mentees have enrolled in the mentor program which enlists nine farmer mentors from across the region. Over twenty farmers have utilized the technical assistance service on their Kansas and Missouri farm operations and the farmer buyer matching program has resulted in thirteen beginning farmers gaining access to new markets. The project highlights the value of collaboration among organizations and the importance of offering multiple farmer services in order to improve wholesale access
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