Information overload : the differences that age makes

Information overload has long been studied as a phenomenon that causes problems at the personal, social and organisational level. This study investigates overload from a new angle, that of the influence of age on perceptions of information overload. A combination of questionnaires, interviews and diaries were used to gain insight into people’s perceptions towards information overload. It was found that people of all ages suffer from information overload but young people are primarily affected by information literacy levels while older people are affected by technology. There was evidence of a link between age and technology use. A link was also found between job role and information overload and the impact technology has had on the quantity of information available. This research will benefit anyone, either individually or within an organisation, looking for ways to combat information overload. It identifies the influence of age on various factors and recommends actions that may be taken to reduce information overload. In particular, recommendations were made for further training in technology and information literacy. The paper is based on an approach not seen before in the literature as it investigates the effects of age on information overload by seeking to understand how perceptions towards information overload may differ between different age groups. It is anticipated that this paper will trigger further studies that could focus on the effect of job role on information overload and the likelihood of information addiction becoming a future concern

Performance of models to predict hepatocellular carcinoma risk among UK patients with cirrhosis and cured HCV infection

Background & aimsHepatocellular carcinoma (HCC) prediction models can inform clinical decisions about HCC screening provided their predictions are robust. We conducted an external validation of 6 HCC prediction models for UK patients with cirrhosis and a HCV virological cure.MethodsPatients with cirrhosis and cured HCV were identified from the Scotland HCV clinical database (N = 2,139) and the STratified medicine to Optimise Treatment of Hepatitis C Virus (STOP-HCV) study (N = 606). We calculated patient values for 4 competing non-genetic HCC prediction models, plus 2 genetic models (for the STOP-HCV cohort only). Follow-up began at the date of sustained virological response (SVR) achievement. HCC diagnoses were identified through linkage to nation-wide cancer, hospitalisation, and mortality registries. We compared discrimination and calibration measures between prediction models.ResultsMean follow-up was 3.4-3.9 years, with 118 (Scotland) and 40 (STOP-HCV) incident HCCs observed. The age-male sex-ALBI-platelet count score (aMAP) model showed the best discrimination; for example, the Concordance index (C-index) in the Scottish cohort was 0.77 (95% CI 0.73-0.81). However, for all models, discrimination varied by cohort (being better for the Scottish cohort) and by age (being better for younger patients). In addition, genetic models performed better in patients with HCV genotype 3. The observed 3-year HCC risk was 3.3% (95% CI 2.6-4.2) and 5.1% (3.5-7.0%) in the Scottish and STOP-HCV cohorts, respectively. These were most closely matched by aMAP, in which the mean predicted 3-year risk was 3.6% and 5.0% in the Scottish and STOP-HCV cohorts, respectively.ConclusionsaMAP was the best-performing model in terms of both discrimination and calibration and, therefore, should be used as a benchmark for rival models to surpass. This study underlines the opportunity for 'real-world' risk stratification in patients with cirrhosis and cured HCV. However, auxiliary research is needed to help translate an HCC risk prediction into an HCC-screening decision.Lay summaryPatients with cirrhosis and cured HCV are at high risk of developing liver cancer, although the risk varies substantially from one patient to the next. Risk calculator tools can alert clinicians to patients at high risk and thereby influence decision-making. In this study, we tested the performance of 6 risk calculators in more than 2,500 patients with cirrhosis and cured HCV. We show that some risk calculators are considerably better than others. Overall, we found that the 'aMAP' calculator worked the best, but more work is needed to convert predictions into clinical decisions

Mortality rates among patients successfully treated for hepatitis C in the era of interferon-free antivirals: population based cohort study

Objectives To quantify mortality rates for patients successfully treated for hepatitis C in the era of interferon-free, direct acting antivirals and compare these rates with those of the general population.Design Population based cohort study.Setting British Columbia, Scotland, and England (England cohort consists of patients with cirrhosis only).Participants 21 790 people who were successfully treated for hepatitis C in the era of interferon-free antivirals (2014-19). Participants were divided into three liver disease severity groups: people without cirrhosis (pre-cirrhosis), those with compensated cirrhosis, and those with end stage liver disease. Follow-up started 12 weeks after antiviral treatment completion and ended on date of death or 31 December 2019.Main outcome measures Crude and age-sex standardised mortality rates, and standardised mortality ratio comparing the number of deaths with that of the general population, adjusting for age, sex, and year. Poisson regression was used to identify factors associated with all cause mortality rates.Results 1572 (7%) participants died during follow-up. The leading causes of death were drug related mortality (n=383, 24%), liver failure (n=286, 18%), and liver cancer (n=250, 16%). Crude all cause mortality rates (deaths per 1000 person years) were 31.4 (95% confidence interval 29.3 to 33.7), 22.7 (20.7 to 25.0), and 39.6 (35.4 to 44.3) for cohorts from British Columbia, Scotland, and England, respectively. All cause mortality was considerably higher than the rate for the general population across all disease severity groups and settings; for example, all cause mortality was three times higher among people without cirrhosis in British Columbia (standardised mortality ratio 2.96, 95% confidence interval 2.71 to 3.23; P<0.001) and more than 10 times higher for patients with end stage liver disease in British Columbia (13.61, 11.94 to 15.49; P<0.001). In regression analyses, older age, recent substance misuse, alcohol misuse, and comorbidities were associated with higher mortality rates.Conclusion Mortality rates among people successfully treated for hepatitis C in the era of interferon-free, direct acting antivirals are high compared with the general population. Drug and liver related causes of death were the main drivers of excess mortality. These findings highlight the need for continued support and follow-up after successful treatment for hepatitis C to maximise the impact of direct acting antivirals

Information overload: the differences that age makes

Information overload has long been studied as a phenomenon that causes problems at the personal, social and organisational level. This study investigates overload from a new angle, that of the influence of age on perceptions of information overload. A combination of questionnaires, interviews and diaries were used to gain insight into people’s perceptions towards information overload. It was found that people of all ages suffer from information overload but young people are primarily affected by information literacy levels while older people are affected by technology. There was evidence of a link between age and technology use. A link was also found between job role and information overload and the impact technology has had on the quantity of information available. This research will benefit anyone, either individually or within an organisation, looking for ways to combat information overload. It identifies the influence of age on various factors and recommends actions that may be taken to reduce information overload. In particular, recommendations were made for further training in technology and information literacy. The paper is based on an approach not seen before in the literature as it investigates the effects of age on information overload by seeking to understand how perceptions towards information overload may differ between different age groups. It is anticipated that this paper will trigger further studies that could focus on the effect of job role on information overload and the likelihood of information addiction becoming a future concern

Mortality rates among patients successfully treated for hepatitis C in the era of interferon-free antivirals: population based cohort study.

Peer reviewed: TrueOBJECTIVES: To quantify mortality rates for patients successfully treated for hepatitis C in the era of interferon-free, direct acting antivirals and compare these rates with those of the general population. DESIGN: Population based cohort study. SETTING: British Columbia, Scotland, and England (England cohort consists of patients with cirrhosis only). PARTICIPANTS: 21 790 people who were successfully treated for hepatitis C in the era of interferon-free antivirals (2014-19). Participants were divided into three liver disease severity groups: people without cirrhosis (pre-cirrhosis), those with compensated cirrhosis, and those with end stage liver disease. Follow-up started 12 weeks after antiviral treatment completion and ended on date of death or 31 December 2019. MAIN OUTCOME MEASURES: Crude and age-sex standardised mortality rates, and standardised mortality ratio comparing the number of deaths with that of the general population, adjusting for age, sex, and year. Poisson regression was used to identify factors associated with all cause mortality rates. RESULTS: 1572 (7%) participants died during follow-up. The leading causes of death were drug related mortality (n=383, 24%), liver failure (n=286, 18%), and liver cancer (n=250, 16%). Crude all cause mortality rates (deaths per 1000 person years) were 31.4 (95% confidence interval 29.3 to 33.7), 22.7 (20.7 to 25.0), and 39.6 (35.4 to 44.3) for cohorts from British Columbia, Scotland, and England, respectively. All cause mortality was considerably higher than the rate for the general population across all disease severity groups and settings; for example, all cause mortality was three times higher among people without cirrhosis in British Columbia (standardised mortality ratio 2.96, 95% confidence interval 2.71 to 3.23; P<0.001) and more than 10 times higher for patients with end stage liver disease in British Columbia (13.61, 11.94 to 15.49; P<0.001). In regression analyses, older age, recent substance misuse, alcohol misuse, and comorbidities were associated with higher mortality rates. CONCLUSION: Mortality rates among people successfully treated for hepatitis C in the era of interferon-free, direct acting antivirals are high compared with the general population. Drug and liver related causes of death were the main drivers of excess mortality. These findings highlight the need for continued support and follow-up after successful treatment for hepatitis C to maximise the impact of direct acting antivirals