Flourish or Fail?: The Risky Reward of Elite High School Admission in Mexico City

Admission to an elite school imposes substantial risks on many students while offering modest academic benefits relative to admission in their most preferred nonelite school. Using variation in school assignment generated by the allocation mechanism, we find that admission to a system of elite public high schools in Mexico City increases the probability of high school dropout by 9.4 percentage points. Students with weaker middle school grades and whose commutes are lengthened by elite admission experience a larger rise in dropout probability. On the other hand, elite admission raises end-of-high-school math test scores for the marginal admittee, even when accounting for potential bias due to admission-induced dropout

A simple tool to predict admission at the time of triage

Aim To create and validate a simple clinical score to estimate the probability of admission at the time of triage. Methods This was a multicentre, retrospective, cross-sectional study of triage records for all unscheduled adult attendances in North Glasgow over 2 years. Clinical variables that had significant associations with admission on logistic regression were entered into a mixed-effects multiple logistic model. This provided weightings for the score, which was then simplified and tested on a separate validation group by receiving operator characteristic (ROC) analysis and goodness-of-fit tests. Results 215 231 presentations were used for model derivation and 107 615 for validation. Variables in the final model showing clinically and statistically significant associations with admission were: triage category, age, National Early Warning Score (NEWS), arrival by ambulance, referral source and admission within the last year. The resulting 6-variable score showed excellent admission/discharge discrimination (area under ROC curve 0.8774, 95% CI 0.8752 to 0.8796). Higher scores also predicted early returns for those who were discharged: the odds of subsequent admission within 28 days doubled for every 7-point increase (log odds=+0.0933 per point, p&#60;0.0001). Conclusions This simple, 6-variable score accurately estimates the probability of admission purely from triage information. Most patients could accurately be assigned to ‘admission likely’, ‘admission unlikely’, ‘admission very unlikely’ etc., by setting appropriate cut-offs. This could have uses in patient streaming, bed management and decision support. It also has the potential to control for demographics when comparing performance over time or between departments.</p

The admission experience survey italian version (I-AES). a factor analytic study on a sample of 156 acute psychiatric in-patients

Coercive treatments are often regarded as an inevitable and yet highly debated feature of psychiatric care. Perceived coercion is often reported by patients involuntarily committed as well as their voluntary counterparts. The Admission Experience Survey (AES) is a reliable tool for measuring perceived coercion in mental hospital admission. We developed the Italian AES (I-AES) through translation back-translation and administered it to 156 acutely hospitalized patients (48% women, 69% voluntarily committed) in two university hospitals in Rome (Policlinico Umberto I, Sant'Andrea Hospital). A principal component analysis (PCA) with equamax rotation was conducted. The I-AES showed good internal consistency (Cronbach's alpha = 0.90); Guttmann split-half relia- bility coefficient was 0.90. AES total score significantly differed between voluntary and involuntary committed patients (5.08 ± 4.1 vs. 8.1 ± 4.9, p < .05). PCA disclosed a three-factor solution explaining 59.3 of the variance. Some discrepancies were found between the factor structure of the I-AES and the original version. I- AES total score was positively associated with numbers of previous involuntarily hospitalization (r = 0.20, p < .05) and psychiatric symptoms' severity (r = 0.22, p < .02). I-AES and its proposed new factor structure proved to be reliable to assess perceived coercion in mental hospital admission. Consequently, it may represent a helpful instrument for the study and reduction of patients' levels of perceived coercion

Differences in Inflammatory Markers between Nulliparous Women Admitted to Hospitals in Preactive vs Active Labor

Objective To determine whether labor-associated inflammatory markers differ between low-risk, nulliparous women in preactive vs active labor at hospital admission and over time. Study Design Prospective comparative study of low-risk, nulliparous women with spontaneous labor onset at term (n = 118) sampled from 2 large Midwestern hospitals. Circulating concentrations of inflammatory markers were measured at admission and again 2 and 4 hours later: namely, neutrophil, and monocyte counts; and serum inflammatory cytokines (interleukin -1β, interleukin-6, tumor necrosis factor-α, interleukin-10) and chemokines (interleukin-8). Biomarker concentrations and their patterns of change over time were compared between preactive (n = 63) and active (n = 55) labor admission groups using Mann-Whitney U tests. Results Concentrations of interleukin-6 and interleukin-10 in the active labor admission group were significantly higher than concentrations in the preactive labor admission group at all 3 time points. Neutrophil levels were significantly higher in the active group at 2 and 4 hours after admission. The rate of increase in neutrophils and interleukin-10 between admission and 2 hours later was faster in the active group (P \u3c .001 and P = .003, respectively). Conclusion Circulating concentrations of several inflammatory biomarkers are higher and their rate of change over time since admission is faster among low-risk, nulliparous women admitted to hospitals in active labor, as compared with those admitted in preactive labor. More research is needed to determine if progressive changes in inflammatory biomarkers might be a useful adjunct to improving the assessment of labor progression and determining the optimal timing of labor admission

Triumph of hope over experience: learning from interventions to reduce avoidable hospital admissions identified through an Academic Health and Social Care Network.

BACKGROUND: Internationally health services are facing increasing demands due to new and more expensive health technologies and treatments, coupled with the needs of an ageing population. Reducing avoidable use of expensive secondary care services, especially high cost admissions where no procedure is carried out, has become a focus for the commissioners of healthcare. METHOD: We set out to identify, evaluate and share learning about interventions to reduce avoidable hospital admission across a regional Academic Health and Social Care Network (AHSN). We conducted a service evaluation identifying initiatives that had taken place across the AHSN. This comprised a literature review, case studies, and two workshops. RESULTS: We identified three types of intervention: pre-hospital; within the emergency department (ED); and post-admission evaluation of appropriateness. Pre-hospital interventions included the use of predictive modelling tools (PARR - Patients at risk of readmission and ACG - Adjusted Clinical Groups) sometimes supported by community matrons or virtual wards. GP-advisers and outreach nurses were employed within the ED. The principal post-hoc interventions were the audit of records in primary care or the application of the Appropriateness Evaluation Protocol (AEP) within the admission ward. Overall there was a shortage of independent evaluation and limited evidence that each intervention had an impact on rates of admission. CONCLUSIONS: Despite the frequency and cost of emergency admission there has been little independent evaluation of interventions to reduce avoidable admission. Commissioners of healthcare should consider interventions at all stages of the admission pathway, including regular audit, to ensure admission thresholds don't change