Dataset Information

Measuring nepotism through shared last names: are we really moving from opinions to facts?

ABSTRACT: Nepotistic practices are detrimental for academia. An analysis of shared last names among academics was recently proposed to measure the diffusion of nepotism, the results of which have had a huge resonance. This method was thus proposed to orient the decisions of policy makers concerning cuts and funding. Because of the social relevance of this issue, the validity of this method must be assessed. Thus, we compared results from an analysis of Italian and United Kingdom academic last names, and of Italian last and given names. The results strongly suggest that the analysis of shared last names is not a measure of nepotism, as it is largely affected by social capital, professional networking and demographic effects, whose contribution is difficult to assess. Thus, the analysis of shared last names is not useful for guiding research policy.

SUBMITTER: Ferlazzo F

PROVIDER: S-EPMC3427342 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Measuring nepotism through shared last names: are we really moving from opinions to facts?

Ferlazzo Fabio F Sdoia Stefano S

PloS one 20120824 8

Nepotistic practices are detrimental for academia. An analysis of shared last names among academics was recently proposed to measure the diffusion of nepotism, the results of which have had a huge resonance. This method was thus proposed to orient the decisions of policy makers concerning cuts and funding. Because of the social relevance of this issue, the validity of this method must be assessed. Thus, we compared results from an analysis of Italian and United Kingdom academic last names, and o ...[more]

PMID: 22937063

Similar Datasets

Project description:BackgroundCollaborative care involves active engagement of primary care and hospital physicians in shared care of patients beyond usual discharge summaries. This enhances community-based care and reduces dependence on specialists and hospitals. The model, successfully implemented in chronic care management, may have utility for treatment of depression in cancer. The aim of this systematic review was to identify components, delivery and roles and responsibilities within collaborative interventions for depression in the context of cancer.MethodsMedline, PsycINFO, CINAHL, Embase, Cochrane Library and Central Register for Controlled Trials databases were searched to identify studies of randomised controlled trials comparing a treatment intervention that met the definition of collaborative model of depression care with usual care or other control condition. Studies of adult cancer patients with major depression or a non-bipolar depressive disorder published in English between 2005 and January 2018 were included. Cochrane checklist for risk of bias was completed (Study Prospero registration: CRD42018086515).ResultsOf 8 studies identified, none adhered to the definition of 'collaborative care'. Interventions delivered were multi-disciplinary, with care co-ordinated by nurses (n?=?5) or social workers (n?=?2) under the direction of psychiatrists (n?=?7). Care was primarily delivered in cancer centres (n?=?5). Care co-ordinators advised primary care physicians (GPs) of medication changes (n?=?3) but few studies (n?=?2) actively involved GPs in medication prescribing and management.ConclusionsThis review highlighted joint participation of GPs and specialist care physicians in collaborative care depression management is promoted but not achieved in cancer care. Current models reflect hospital-based multi-disciplinary models of care.Protocol registrationThe protocol for this systematic review has been registered with PROSPERO. The registration number is CRD42018086515.

Dataset Information

Measuring nepotism through shared last names: are we really moving from opinions to facts?

Publications

Measuring nepotism through shared last names: are we really moving from opinions to facts?

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets