地方师范类院校行政管理专业人才培养模式思考

行政管理专业自创办以来,各类高校基于自身学科和专业的特点、优势,对本校的行政管理专业人才培养模式进行不同层次的探索,呈现不同的特点。在创办过程中,地方师范类院校在基于为地方和区域化服务的宗旨和结合学校的师范性特征的前提下,寻求适合自己发展的、特色的行政管理专业人才培养模式。     

Social subordination produces distinct stress-related phenotypes in female rhesus monkeys

Social subordination in female macaques is imposed by harassment and the threat of aggression and produces reduced control over one's social and physical environment and a dysregulation of the limbic-hypothalamic-pituitary-adrenal axis resembling that observed in people suffering from psychopathologies. These effects support the contention that this particular animal model is an ethologically relevant paradigm in which to investigate the etiology of stress-induced psychological illness related to women. Here, we sought to expand this model by performing a discriminate analysis (DA) on 33 variables within three domains; behavioral, metabolic/anthropomorphic, and neuroendocrine, collected from socially housed female rhesus monkeys in order to assess whether exposure to social subordination produces a distinct phenotype. A receiver operating characteristic (ROC) curve was also calculated to determine each domain's classification accuracy. DA found significant markers within each domain that differentiated dominant and subordinate females. Subordinate females received more aggression, showed more submissive behavior, and received less of affiliation from others than did dominant females. Metabolic differences included increased leptin, and reduced adiponectin in dominant compared to subordinate females. Dominant females exhibited increased sensitivity to hormonal stimulation with higher serum LH in response to estradiol, cortisol in response to ACTH, and increased glucocorticoid negative feedback. Serum oxytocin, CSF DOPAC and serum PACAP were all significantly higher in dominant females. ROC curve analysis accurately predicted social status in all three domains. Results suggest that socially house rhesus monkeys represent a cogent animal model in which to study the physiology and behavioral consequences of chronic psychosocial stress in humans.     

Administrative database research infrequently used validated diagnostic or procedural codes

Objective

Administrative database research (ADR) frequently uses codes to identify diagnoses or procedures. The association of these codes with the condition it represents must be measured to gauge misclassification in the study. Measure the proportion of ADR studies using diagnostic or procedural codes that measured or referenced code accuracy.

Study Design and Setting

Random sample of 150 MEDLINE-cited ADR studies stratified by year of publication. The proportion of ADR studies using codes to define patient cohorts, exposures, or outcomes that measured or referenced code accuracy and Bayesian estimates for probability of disease given code operating characteristics were measured.

Results

One hundred fifteen ADR studies (76.7% [95% confidence interval (CI), 69.3-82.8]) used codes. Of these studies, only 14 (12.1% [7.3-19.5]) measured or referenced the association of the code with the entity it supposedly represented. This proportion did not vary by year of publication but was significantly higher in journals with greater impact factors. Of five studies reporting code sensitivity and specificity, the estimated probability of code-related condition in code-positive patients was less than 50% in two.

Conclusion

In ADR, diagnostic and procedural codes are commonly used but infrequently validated. People with a code frequently do not have the condition it represents.     

Comorbidity scores for administrative data benefited from adaptation to local coding and diagnostic practices

Objective

The Charlson and Elixhauser indices are the most commonly used comorbidity indices with risk prediction models using administrative data. Our objective was to compare the original Charlson index, a modified set of Charlson codes after advice from clinical coders, and a published modified Elixhauser index in predicting in-hospital mortality.

Study Design and Setting

Logistic regression using two separate years of administrative hospital data for all acute nonspecialist public hospitals in England.

Results

For all admissions combined, discrimination was similar for the Charlson index using the original codes and weights and the Charlson index using the original codes but England-calibrated weights (c = 0.73), although model fit was superior for the latter. The new Charlson codes improved discrimination (c = 0.76), model fit, and consistency of recording between admissions. The modified Elixhauser had the best performance (c = 0.80). For admissions for acute myocardial infarction and chronic obstructive pulmonary disease, the weights often differed, although the patterns were broadly similar.

Conclusion

Recalibration of the original Charlson index yielded only modest benefits overall. The modified Charlson codes and weights offer better fit and discrimination for English data over the original version. The modified Elixhauser performed best of all, but its weights were perhaps less consistent across the different patient groups considered here.     

Comparison of Time to Next Treatment,Health Care Resource Utilization,and Costs in Patients with Chronic Lymphocytic Leukemia Initiated on Front-line Ibrutinib or Chemoimmunotherapy

BackgroundStudies assessing ibrutinib’s economic burden versus chemoimmunotherapy (CIT) focused on pharmacy costs but not medical costs. This study compared time to next treatment (TTNT), health care resource utilization (HRU), and total direct costs among patients with chronic lymphocytic leukemia (CLL) initiating front-line ibrutinib single agent (Ibr) or CIT.Materials and MethodsOptum Clinformatics Extended DataMart De-Identified Databases were used to identify adults with ≥ 2 claims with a CLL diagnosis initiating front-line Ibr or CIT from February 12, 2014 to June 30, 2017. Inverse probability of treatment weighting was used to control for potential differences in baseline characteristics between the Ibr and CIT cohorts. Two periods were considered: entire front-line therapy (until initiation of second-line therapy) and first 6 months of front-line therapy. Comparisons with a subgroup of CIT patients initiating bendamustine/rituximab (BR) were also conducted.ResultsTTNT was significantly longer for Ibr (N = 322) relative to CIT (N = 839; hazard ratio, 0.54; P = .0163; Kaplan-Meier rates [24 months]: Ibr = 88.6%, CIT = 75.9%) and the subset of CIT patients treated with BR (N = 455; hazard ratio, 0.54; P = .0208; Kaplan-Meier rates [24 months]: Ibr = 89.0%, BR = 79.0%). During the entire front-line therapy, Ibr patients had significantly fewer monthly days with outpatient visits (rate ratio = 0.75; P = .0200). Ibrutinib’s higher pharmacy costs (mean monthly cost difference [MMCD] = $6,849; P < .0001) were offset by lower medical costs (MMCD = ?$10,615; P < .0001), yielding net savings (MMCD = ?$3,766; P < .0001) versus CIT. Ibr was associated with net savings (MMCD = ?$5,569; P < .0001) versus BR. Cost savings and reductions in HRU were more pronounced during the first 6 months of front-line therapy.ConclusionDuring front-line CLL treatment, Ibr was associated with longer TTNT, fewer monthly days with outpatient visits, and net monthly total cost reduction versus CIT and BR.     

改革开放以来医疗保障行政管理体制的变迁

改革开放以来，中国医疗保障行政管理职能和机构设置不断调整，形成了不同的医疗保障行政管理体制，改革朝着更加科学、更为规范的方向发展。但是，当前医疗保障行政管理体制还没有调整到位，主要是医疗保障制度由不同的部门分割管理，造成了重复建设、本位主义、社会不公、难以适应人口流动等诸多许多问题。下一步应在政府职能转变的前提下，统筹卫生服务和医疗保障职能，建立健康保障大部门体制。     

Un índice de privación para reformar el modelo de financiación de la atención primaria en Cataluña

ObjectiveTo build a deprivation index for the assignation of the budgets of the primary healthcare teams in Catalonia (Spain) valid for both urban and rural environments and updatable with greater frequency than indices built from census variables.MethodStarting from a review of the most common deprivation indices, variables were selected from sources that allow frequent updating and are representative at the territorial level of primary care. The correlations were calculated between the chosen variables and variables of need for healthcare and morbidity. principal components analysis was applied. Finally, the correlations of the index built with the MEDEA index and with variables of use of healthcare resources and morbidity was calculated stratifying by geographical dispersion.ResultsThe variables of income, occupation and education are the ones with the highest correlation with the need for healthcare and morbidity. The composed socioeconomic index (CSI) ranges from −.01 to 5.68, with an average value of 2.60 and a standard deviation of .91. The correlation between the CSI and the MEDEA index is .89. The CSI correlates with use for healthcare in both urban and rural environments, although in rural environments the association is lower.ConclusionsThe CSI was built with data that allow frequent updating and was integrated in the model for allocating resources to primary healthcare starting in 2017.     

Diabetes diagnosis from administrative claims and estimation of the true prevalence of diabetes among 4.2 million individuals of the Veneto region (North East Italy)

Background and aimsDiabetes can often remain undiagnosed or unregistered in administrative databases long after its onset, even when laboratory test results meet diagnostic criteria. In the present work, we analyse healthcare data of the Veneto Region, North East Italy, with the aims of: (i) developing an algorithm for the identification of diabetes from administrative claims (4,236,007 citizens), (ii) assessing its reliability by comparing its performance with the gold standard clinical diagnosis from a clinical database (7525 patients), (iii) combining the algorithm and the laboratory data of the regional Health Information Exchange (rHIE) system (543,520 subjects) to identify undiagnosed diabetes, and (iv) providing a credible estimate of the true prevalence of diabetes in Veneto.Methods and resultsThe proposed algorithm for the identification of diabetes was fed by administrative data related to drug dispensations, outpatient visits, and hospitalisations. Evaluated against a clinical database, the algorithm achieved 95.7% sensitivity, 87.9% specificity, and 97.6% precision. To identify possible cases of undiagnosed diabetes, we applied standard diagnostic criteria to the laboratory test results of the subjects who, according to the algorithm, had no diabetes-related claims. Using a simplified probabilistic model, we corrected our claims-based estimate of known diabetes (6.17% prevalence; 261,303 cases) to account for undiagnosed cases, yielding an estimated total prevalence of 7.50%.ConclusionWe herein validated an algorithm for the diagnosis of diabetes using administrative claims against the clinical diagnosis. Together with rHIE laboratory data, this allowed to identify possibly undiagnosed diabetes and estimate the true prevalence of diabetes in Veneto.