Validity of algorithms for identifying five chronic conditions in MedicineInsight, an Australian national general practice database.

Background MedicineInsight is a database containing de-identified electronic health records (EHRs) from over 700 Australian general practices. It is one of the largest and most widely used primary health care EHR databases in Australia. This study examined the validity of algorithms that use information from various fields in the MedicineInsight data to indicate whether patients have specific health conditions. This study examined the validity of MedicineInsight algorithms for five common chronic conditions: anxiety, asthma, depression, osteoporosis and type 2 diabetes. Methods Patients’ disease status according to MedicineInsight algorithms was benchmarked against the recording of diagnoses in the original EHRs. Fifty general practices contributing data to MedicineInsight met the eligibility criteria regarding patient load and location. Five were randomly selected and four agreed to participate. Within each practice, 250 patients aged ≥ 40 years were randomly selected from the MedicineInsight database. Trained staff reviewed the original EHR for as many of the selected patients as possible within the time available for data collection in each practice. Results A total of 475 patients were included in the analysis. All the evaluated MedicineInsight algorithms had excellent specificity, positive predictive value, and negative predictive value (above 0.9) when benchmarked against the recording of diagnoses in the original EHR. The asthma and osteoporosis algorithms also had excellent sensitivity, while the algorithms for anxiety, depression and type 2 diabetes yielded sensitivities of 0.85, 0.89 and 0.89 respectively. Conclusions The MedicineInsight algorithms for asthma and osteoporosis have excellent accuracy and the algorithms for anxiety, depression and type 2 diabetes have good accuracy. This study provides support for the use of these algorithms when using MedicineInsight data for primary health care quality improvement activities, research and health system policymaking and planning

Convergence calls: multimedia storytelling at British news websites

This article uses qualitative interviews with senior editors and managers from a selection of the UK's national online news providers to describe and analyse their current experimentation with multimedia and video storytelling. The results show that, in a period of declining newspaper readership and TV news viewing, editors are keen to embrace new technologies, which are seen as being part of the future of news. At the same time, text is still reported to be the cornerstone for news websites, leading to changes in the grammar and function of news video when used online. The economic rationale for convergence is examined and the article investigates the partnerships sites have entered into in order to be able to serve their audience with video content. In-house video is complementing syndicated content, and the authors examine the resulting developments in newsroom training and recruitment practices. The article provides journalism and interactive media scholars with case studies on the changes taking place in newsrooms as a result of the shift towards multimedia, multiplatform news consumption

Sustained low consumption of fruit and vegetables in Australian children: findings from the Australian National Health Surveys

Issue addressed: Intakes of fruit and vegetables in children are inadequate. Our purpose was to examine national data on the proportion of Australian children meeting the fruit and vegetable recommendations in 2011-2012 and 2014-2015, assessing changes over time and differences by age, sex and socioeconomic status (SES). Methods: Secondary analysis of 2011-2012 and 2014-2015 Australian National Health Surveys of Australian children aged 2-18\ua0years. Percentages of children meeting fruit and vegetable recommendations by survey year, age group, sex and SES tertile were calculated using population weights supplied by the Australian Bureau of Statistics (ABS). Chi-squared tests and logistic regression were used to test for the relative influence of each factor. Results: In 2011-2012, 64.6%, 5.1% and 4.6% of children met the recommended intake for fruit, vegetable and fruit–vegetable combined, respectively. In 2014-2015, 68.2%, 5.3% and 5.1% of all children met the recommended intake for fruit, vegetable and fruit–vegetable combined, respectively. There was a large reduction in proportions of children meeting both the fruit and vegetable recommendations between 3 and 4\ua0years of age, which coincides with when most Australian children start pre-school. There were consistent differences by sex for both fruit and vegetables, but we found little evidence that SES is a significant factor predicting the difference in meeting the vegetable recommendations. Conclusions: The proportion of Australian children meeting fruit and vegetable recommendations are sub-optimal across all SES groups which suggests that a national approach across demographic strata is warranted. So what?: Future health promotion interventions should have a refocus on vegetables instead of “fruit and vegetables,” particularly in the key transition period when children start pre-school