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Over the past 20 years China's real GDP growth that has averaged 9.9% and has lifted its economy from being only marginally relevant to being one of the biggest drivers of global growth. While China does not yet possess major military force projection capabilities, it clearly has increasing aspirations in this direction, and in financial terms, there is likely to be little barrier to China realizing these ambitions. Figures. Adapted from the source document.

All health professions are unified by having the client at their core. Clinical supervision provides healthcare workers with opportunities to work across professional boundaries. Interprofessional supervision occurs when the supervisee and supervisor have different professional backgrounds. Unpacking this concept is likely to enhance healthcare workers' understanding, and therefore its use. In this paper, the authors use the well-recognised Proctor's model of clinical supervision, to reflect on the tendencies of different professions to embrace different aspects of clinical supervision (e.g., direct and reflective aspects), and recommend strategies for healthcare workers from different professions to collaborate more in the supervision context.

ObjectivesIncorporating patient reported outcomes into health data linkage research ensures that the patient's perspective is considered. We aimed to understand the use of patient reported outcomes across an entire healthcare organisation, to inform routine collection and integration of patient reported outcomes into hospital data systems for clinical practice and research.
ApproachWe applied a mapping process consisting of 1) an audit of patient reported outcomes used in research projects and data registries, and 2) a survey of clinicians' use of patient reported outcomes in their clinical practice from January 2015 to March 2021. Patient reported outcomes were then classified as 'specific' to a particular disease and/or conditions, or as a 'generic' measure that was applicable to a broader population. Patient reported outcomes were also mapped to the health domains they measured, using the World Health Organisation International Classification Framework. Data were described using frequency and proportion.
ResultsPatient reported outcomes were used by 22% of research projects (n=144/666), 68% of clinical registries (n=13/19), and 76% of clinical specialties in their clinical care (n=16/21). Of the projects, registries and specialties that used patient reported outcomes, disease specific outcomes were most commonly used: 83% for research projects n=130/144), 69% for clinical registries (n=9/13), and 75% for clinical specialties (n=12/16). Greater than 80% of research projects, clinical registries and clinical specialties measured health domains relating to both body impairments and participation in daily life activities. The most commonly used generic patient reported outcome for research, data registries and clinical practice was the European Quality of Life Five Dimension Five Level (EQ-5D-5L) (research projects n=31/144, 22%; data registries n=2/13, 15%; clinical specialties n=3/16, 19%).
ConclusionIn our setting, the EQ-5D-5L had broad applicability across a range of clinical specialties, collection systems and research studies, making it suitable for routine integration into health data systems with potential for linkage with other population data. Sufficient flexibility is required for the collection of population and disease specific measures.

IntroductionDigitalisation of Electronic Health Record (EHR) data has created unique opportunities for research. However, these data are routinely collected for operational purposes and so are not curated to the standard required for research. Harnessing such routine data at large scale allows efficient and long-term epidemiological and health services research.
ObjectivesTo describe the establishment a linked EHR derived data platform in the National Centre for Healthy Ageing, Melbourne, Australia, aimed at enabling research targeting national health priority areas in ageing.
MethodsOur approach incorporated: data validation, curation and warehousing to ensure quality and completeness; end-user engagement and consensus on the platform content; implementation of an artificial intelligence (AI) pipeline for extraction of text-based data items; early consumer involvement; and implementation of routine collection of patient reported outcome measures, in a multisite public health service.
ResultsData for a cohort of >800,000 patients collected over a 10-year period have been curated within the platform's research data warehouse. So far 117 items have been identified as suitable for inclusion, from 11 research relevant datasets held within the health service EHR systems. Data access, extraction and release processes, guided by the Five Safes Framework, are being tested through project use-cases. A natural language processing (NLP) pipeline has been implemented and a framework for the routine collection and incorporation of patient reported outcome measures developed.
ConclusionsWe highlight the importance of establishing comprehensive processes for the foundations of a data platform utilising routine data not collected for research purposes. These robust foundations will facilitate future expansion through linkages to other datasets for the efficient and cost-effective study of health related to ageing at a large scale.

ObjectiveTo determine the effectiveness of government policies supporting coordinated multidisciplinary primary care (MDC) in improving long-term survival following stroke or Transient Ischaemic Attack (TIA).
ApproachWe used the target trial framework for observational data to assess the average population effect of primary care MDC policies. The cohort comprised patients from the Australian Stroke Clinical Registry (January 2012-June 2015) linked with (i) Australian Medicare claims to define exposures (MDC claims in the 6-18 months post-stroke); (ii) hospital, pharmaceutical and aged care datasets for additional covariates; (iii) National Death Registry for survival outcomes (19-30 months post-stroke). Level of impairment was classified by latent class analysis using EQ-5D-3L questionnaire data obtained 90-180 days post-stroke. Multilevel survival analysis with inverse probability treatment weights was applied.
ResultsAmong 7,255 people with stroke (42% female, median age 71 years, 24% TIA, level of impairment: 39% minimal, 32% moderate, 29% severe), 29% had a Medicare claim for MDC (23% minimal, 31% moderate, 39% severe). Mortality was reduced in those receiving a claim (vs non-receipt) in the minimal (adjusted Hazard Ratio (aHR): 0.50, 95%CI:0.27, 0.91) and severe (aHR: 0.65, 95%CI:0.46, 0.91) impairment groups, but not the moderate impairment group (aHR: 1.31, 95%CI:0.86, 1.99). Group differences in allied health services claimed during MDC were observed: secondary prevention (14% minimal vs 10% severe impairment), rehabilitation (21% minimal vs 25% severe impairment).
ImplicationsDrawing causal inferences from linked observational data demonstrated the population effectiveness of primary care MDC policies, in improving survival following stroke/TIA, with variation by impairment class.