An Update on Social Media in Project Management
Objective: To describe the discrimination and calibration of clinical prediction models, identify characteristics that contribute to better predictions and investigate predictors that are associated with unplanned hospital readmissions.Design: Systematic review and meta-analysis.Data source: Medline, EMBASE, ICTPR (for study protocols) and Web of Science (for conference proceedings) were searched up to 25 August 2020.Eligibility criteria for selecting studies: Studies were eligible if they reported on (1) hospitalised adult patients with acute heart disease; (2) a clinical presentation of prediction models with c-statistic; (3) unplanned hospital readmission within 6 months. Primary and secondary outcome measures: Model discrimination for unplanned hospital readmission within 6 months measured using concordance (c) statistics and model calibration. Meta-regression and subgroup analyses were performed to investigate predefined sources of heterogeneity. Outcome measures from models reported in multiple independent cohorts and similarly defined risk predictors were pooled.Results: Sixty studies describing 81 models were included: 43 models were newly developed, and 38 were externally validated. Included populations were mainly patients with heart failure (HF) (n=29). The average age ranged between 56.5 and 84 years. The incidence of readmission ranged from 3% to 43%. Risk of bias (RoB) was high in almost all studies. The c-statistic was <0.7 in 72 models, between 0.7 and 0.8 in 16 models and >0.8 in 5 models. The study population, data source and number of predictors were significant moderators for the discrimination. Calibration was reported for 27 models. Only the GRACE (Global Registration of Acute Coronary Events) score had adequate discrimination in independent cohorts (0.78, 95% CI 0.63 to 0.86). Eighteen predictors were pooled. Conclusion: Some promising models require updating and validation before use in clinical practice. The lack of independent validation studies, high RoB and low consistency in measured predictors limit their applicability.PROSPERO registration number: CRD42020159839.
MULTIFILE
The full title of this exhibition is Updates – Six Investigations into the Use of Photographs in Ugandan News Media. It is related to part of the content of Ebishushani #3, All the Tricks, Elly Rwakoma. The heart of this book shows photographs made by Rwakoma on the occasion of a political rally that took place September 19th 1979, during which a panic broke out. Elly Rwakoma remembers this as an attack on President Binaisa. Only after the book was published was I able to follow up on his story. News media have either ignored the event (and refused to publish Elly’s photographs), or published a significantly different version of the story. The first appearances of these media reports led to several conversations about photographs in Ugandan news media (Feb. 2016), a workshop, this exhibition, and a discussion at the occasion of its opening. All of these were organised by the Uganda Press Photo Award.This workshop, in which Max Bwire, Zahara Abdul, Jim Joel, Katumba Badru and Irene Kimuli participated, resulted in six books that present a small research into one particular topic or event, based on the newspaper collection of Makerere University.
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