Developing self-report disability questions for a voluntary patient registration form for general practice in Australia.

OBJECTIVE: This article reports on research undertaken to develop self-report disability questions for a patient registration form that may be implemented in general practices across Australia as part of a voluntary patient registration program. METHODS: There were four research components: rapid review of approaches for capturing disability information; expert informant interviews (n=19); stakeholder consultation via virtual focus groups (n=65); and online survey (n=35). Findings from each component informed development of materials for subsequent components in an iterative research process. RESULTS: Three disability questions were developed: two alternative questions for identifying disability, conceptually aligned with the operational definition of disability in Australia's national disability survey; one question to determine the patient's disability group/s. CONCLUSIONS: Knowledge and perspectives from a variety of sources informed the development of self-report questions to identify patients with disability. Implementing these questions represents an opportunity to test new ways of capturing disability information suited to mainstream service provision contexts. It will be essential to evaluate the quality of the data produced during the initial period of implementation. IMPLICATIONS FOR PUBLIC HEALTH: The collection of self-report patient disability information within general practice, using standard and conceptually-sound questions, has the potential to support improved provision of health care to patients with disability.

The Public Health Value of Coding Surgery in South Africa Using the International Classification of Health Interventions.

BACKGROUND: The lack of a national intervention coding system and the current intervention coding in South Africa through the use of multiple billing and coding systems does not support quality intervention data collection and patient outcomes reporting for general surgery. This presents difficulties in the understanding of the different types of general surgical interventions performed in hospitals, the associated resources, risks, complications, outcomes reporting, public healthcare delivery, and determination of barriers to care. This study illustrates the use of accurate data on health interventions in South Africa's acute care general surgery coding to assist in improved resource allocation, using the new WHO International Classification of Health Interventions (ICHI). ICHI has over 8000 codes and consists of three axes: Target (the entity on which the Action is carried out), Action (a deed performed by an actor to a target), and Means (the processes and methods by which the Action is carried out). A key benefit of ICHI is that it can be used collectively with the International Classification of Diseases (ICD) and the International Classification of Functioning, Disability and Health (ICF). OBJECTIVES: to evaluate the suitability of ICHI for general surgery interventions by coding intervention descriptions to ICHI codes; to identify gaps in the ICHI system; and to provide a rationale for ICHI to be a nationally regulated system. METHODS: This study adopted a retrospective, descriptive design; in total, 3000 in-patient intervention data files, captured in an electronic database from April 2013 to August 2019 at three academic hospitals in Johannesburg, were extracted randomly, and coded using ICHI. Quantitative data analysis techniques were utilized to assess the overall degree of match between ICHI codes and the intervention descriptions. RESULTS: Of the 3000 patient case entries that were coded, there was an agreement of 67.6% of the coded data amongst the three coders, leaving a variability of 32.4%. The variability was largely due to the coders' experience and the quality of healthcare documentation. CONCLUSIONS: ICHI has the ability to cater for the broad range of general surgery interventions, thus indicating that ICHI is suitable for general surgery coding.

Health Statistics in Australia: What We Know and Do Not Know.

Australia is a federation of six states and two territories (the States). These eight governmental entities share responsibility for health and health services with the Australian Government. Mortality statistics, including causes of death, have been collected since the late 19th century, with national data produced by the (now) Australian Bureau of Statistics (ABS) from 1907. Each State introduced hospital in-patient statistics, assisted by State offices of the ABS. Beginning in the 1970s, the ABS conducts regular health surveys, including specific collections on Aboriginal and Torres Strait Islander peoples. Overall, Australia now has a comprehensive array of health statistics, published regularly without political or commercial interference. Privacy and confidentiality are guaranteed by legislation. Data linkage has grown and become widespread. However, there are gaps, as papers in this issue demonstrate. Most notably, data on primary care patients and encounters reveal stark gaps. This paper accompanies a range of papers from expert authors across the health statistics spectrum in Australia. It is hoped that the collection of papers will inform interested readers and stand as a comprehensive review of the strengths and weaknesses of Australian health statistics in the early 2020s.

The International Classification of Health Interventions: an 'epistemic hub' for use in public health.

The current lack of a common basis for collecting data on population-level prevention and health promotion interventions causes public health to be relatively invisible within broader health systems, making it vulnerable to funding cuts when there is pressure to reduce spending. Further, the inconsistent use of terms for describing interventions hinders knowledge translation and building an evidence base for public health practice and policy. The International Classification of Health Interventions (ICHI), being developed by the World Health Organization, is a standard statistical classification for interventions across the full scope of health systems. ICHI has potential to meet the need for a common language and structure for describing and capturing information about prevention and health promotion interventions. We report on a developmental appraisal conducted to examine the strengths and limitations of ICHI for coding interventions delivered for public health purposes. Our findings highlight classification challenges in relation to: consistently identifying separate components within multi-component interventions; operationalizing the ICHI concept of intervention target when there are intermediary targets as well as an ultimate target; coding an intervention component that involves more than one ICHI target or action; and standardising what is being counted. We propose that, alongside its purpose as a statistical classification, ICHI can play a valuable role as an 'epistemic hub', to be used flexibly by public health actors to meet a range of information needs, and as a basis for improved communication and exchange.

Toward a Harmonized WHO Family of International Classifications Content Model.

An overarching WHO-FIC Content Model will allow uniform modeling of classifications in the WHO Family of International Classifications (WHO-FIC) and promote their joint use. We provide an initial conceptualization of such a model.

A new clinical complexity model for the Australian Refined Diagnosis Related Groups.

BACKGROUND: The Australian Refined Diagnosis Related Groups (AR-DRG) underwent a major review in 2014 with changes implemented in Version 8.0 of the classification. The core to the changes was the development of a new methodology to estimate the Diagnosis Complexity Level (DCL) and to aggregate the complexity level of individual diagnoses to the complexity of an entire episode, resulting in an Episode Clinical Complexity Score (ECCS). This paper provides an overview of the new methodology and its application in Version 8.0. METHOD: The AR-DRG V8.0 refinement project was overseen by a Classifications Clinical Advisory Group and a Diagnosis Related Groups (DRG) Technical Group. Admitted Patient Care National Minimum Dataset and the National Hospital Cost Data Collection were used for complexity modelling and analysis. RESULT: In total, Version 8.0 comprised 807 DRGs, including 3 error DRGs. Of the 321 Adjacent DRGs (ADRGs) that had a split, 315 ADRGs used ECCS as the only splitting variable while the remaining 6 ADRGs used splitting variables other than ECCS: 2 used age and 4 used transfer. DISCUSSION AND CONCLUSION: A new episode clinical complexity (ECC) model was developed and introduced in AR-DRG V8.0, replacing the original model introduced in the 1990s. Clear AR-DRG structure principles were established for revising the system. The new complexity model is conceptually based and statistically derived, and results in an improved relationship with actual variations in resource use due to episode complexity.

Aboriginal and Torres Strait Islander disability prevalence: making sense of multiple estimates and definitions.

OBJECTIVE: To analyse the multiple sources of statistics on prevalence of disability among Aboriginal and Torres Strait Islander (Indigenous) people in Australia to provide reliable headline estimates. METHODS: Survey documentation and statistics from the Australian Bureau of Statistics (ABS) were collated and comparatively analysed. RESULTS: Two separate concepts are defined by the ABS: 'Disability' and 'Disability and restrictive health conditions'. The former is used in the Survey of Disability, Ageing and Carers (SDAC), the recommended source of disability prevalence estimates. The second is used in surveys to compare people with disability to those without. The 2014-15 National Aboriginal and Torres Strait Islander Survey (NATSISS) used a mix of these definitions, which led to differing prevalence estimates from SDAC estimates. Further, there is confusion in the NATSISS results, with 'disability' frequently replacing 'disability and restrictive health condition'. DISCUSSION: The SDAC should be used for prevalence statistics on disability in the Indigenous population. The ABS should act to clarify or withdraw confusing results from the 2014-15 NATSISS survey. Implications for public health: Official statistics are used to allocate resources; in particular, to and within the National Disability Insurance Scheme. These need to be accurate to ensure Indigenous people's health needs are met.

A System for Supporting Development and Update of the International Classification of Health Interventions (ICHI).

The International Classification of Health Interventions (ICHI) is a member of the WHO Family of International Classifications, being developed to provide a common tool for reporting and analysing health interventions for statistical purposes. A web-based platform for classification development and update has been specifically developed to support the initial development step and then, after final approval, the continuous revision and update of the classification. The platform provides features for classification editing, versioning, comment management and URI identifiers. During the last 12 months it has been used for developing the ICHI Beta version, replacing the previous process based on the exchange of Excel files. At November 2017, 90 users have provided input to the development of the classification, which has resulted in 2913 comments and 2971 changes in the classification, since June 2017. Further work includes the development of an URI API for machine to machine communication, following the model established for ICD-11.

Use of a New International Classification of Health Interventions for Capturing Information on Health Interventions Relevant to People with Disabilities.

Development of the World Health Organization's International Classification of Health Interventions (ICHI) is currently underway. Once finalised, ICHI will provide a standard basis for collecting, aggregating, analysing, and comparing data on health interventions across all sectors of the health system. In this paper, we introduce the classification, describing its underlying tri-axial structure, organisation and content. We then discuss the potential value of ICHI for capturing information on met and unmet need for health interventions relevant to people with a disability, with a particular focus on interventions to support functioning and health promotion interventions. Early experiences of use of the Swedish National Classification of Social Care Interventions and Activities, which is based closely on ICHI, illustrate the value of a standard classification to support practice and collect statistical data. Testing of the ICHI beta version in a wide range of countries and contexts is now needed so that improvements can be made before it is finalised. Input from those with an interest in the health of people with disabilities and health promotion more broadly is welcomed.

Coding acute stroke care and telestroke with the International Classification of Health Interventions (ICHI).

BACKGROUND: and purpose: Acute stroke care is to detect, diagnose, and treat patients in the shortest amount of time. Access to acute stroke care may however be limited in some areas and telemedicine has been thus used to increase its access. Coding acute stroke care as a health intervention had limited attention in the past. METHODS: The International Classification of Health Interventions (ICHI) currently under development was used to identify existing codes relevant for coding acute stroke care interventions, including telestroke. A review of the ICHI was conducted to identify codes relevant for acute stroke care by two independent reviewers. RESULTS: A matching ICHI code was found for each of the steps in the acute stroke care process but no ICHI codes were available to specifically capture telestroke. CONCLUSION: As telemedicine intervention is likely to become more common in the future, it will be imperative that the ICHI is able to code such interventions.

Clinical phenotype and outcome of hepatitis E virus-associated neuralgic amyotrophy.

OBJECTIVE: To determine the clinical phenotype and outcome in hepatitis E virus-associated neuralgic amyotrophy (HEV-NA). METHODS: Cases of NA were identified in 11 centers from 7 European countries, with retrospective analysis of demographics, clinical/laboratory findings, and treatment and outcome. Cases of HEV-NA were compared with NA cases without evidence of HEV infection. RESULTS: Fifty-seven cases of HEV-NA and 61 NA cases without HEV were studied. Fifty-six of 57 HEV-NA cases were anti-HEV IgM positive; 53/57 were IgG positive. In 38 cases, HEV RNA was recovered from the serum and in 1 from the CSF (all genotype 3). Fifty-one of 57 HEV-NA cases were anicteric; median alanine aminotransferase 259 IU/L (range 12-2,961 IU/L); in 6 cases, liver function tests were normal. HEV-NA cases were more likely to have bilateral involvement (80.0% vs 8.6%, p < 0.001), damage outside the brachial plexus (58.5% vs 10.5%, p < 0.01), including phrenic nerve and lumbosacral plexus injury (25.0% vs 3.5%, p = 0.01, and 26.4% vs 7.0%, p = 0.001), reduced reflexes (p = 0.03), sensory symptoms (p = 0.04) with more extensive damage to the brachial plexus. There was no difference in outcome between the 2 groups at 12 months. CONCLUSIONS: Patients with HEV-NA are usually anicteric and have a distinct clinical phenotype, with predominately bilateral asymmetrical involvement of, and more extensive damage to, the brachial plexus. Involvement outside the brachial plexus is more common in HEV-NA. The relationship between HEV and NA is likely to be causal, but is easily overlooked. Patients presenting with NA should be tested for HEV, irrespective of liver function test results. Prospective treatment/outcome studies of HEV-NA are warranted.

Indigenous and tribal peoples' health (The Lancet-Lowitja Institute Global Collaboration): a population study.

BACKGROUND: International studies of the health of Indigenous and tribal peoples provide important public health insights. Reliable data are required for the development of policy and health services. Previous studies document poorer outcomes for Indigenous peoples compared with benchmark populations, but have been restricted in their coverage of countries or the range of health indicators. Our objective is to describe the health and social status of Indigenous and tribal peoples relative to benchmark populations from a sample of countries. METHODS: Collaborators with expertise in Indigenous health data systems were identified for each country. Data were obtained for population, life expectancy at birth, infant mortality, low and high birthweight, maternal mortality, nutritional status, educational attainment, and economic status. Data sources consisted of governmental data, data from non-governmental organisations such as UNICEF, and other research. Absolute and relative differences were calculated. FINDINGS: Our data (23 countries, 28 populations) provide evidence of poorer health and social outcomes for Indigenous peoples than for non-Indigenous populations. However, this is not uniformly the case, and the size of the rate difference varies. We document poorer outcomes for Indigenous populations for: life expectancy at birth for 16 of 18 populations with a difference greater than 1 year in 15 populations; infant mortality rate for 18 of 19 populations with a rate difference greater than one per 1000 livebirths in 16 populations; maternal mortality in ten populations; low birthweight with the rate difference greater than 2% in three populations; high birthweight with the rate difference greater than 2% in one population; child malnutrition for ten of 16 populations with a difference greater than 10% in five populations; child obesity for eight of 12 populations with a difference greater than 5% in four populations; adult obesity for seven of 13 populations with a difference greater than 10% in four populations; educational attainment for 26 of 27 populations with a difference greater than 1% in 24 populations; and economic status for 15 of 18 populations with a difference greater than 1% in 14 populations. INTERPRETATION: We systematically collated data across a broader sample of countries and indicators than done in previous studies. Taking into account the UN Sustainable Development Goals, we recommend that national governments develop targeted policy responses to Indigenous health, improving access to health services, and Indigenous data within national surveillance systems. FUNDING: The Lowitja Institute.

Australian diagnosis related groups: Drivers of complexity adjustment.

BACKGROUND: In undertaking a major revision to the Australian Refined Diagnosis Related Group (ARDRG) classification, we set out to contrast Australia's approach to using data on additional (not principal) diagnoses with major international approaches in splitting base or Adjacent Diagnosis Related Groups (ADRGs). METHODS: Comparative policy analysis/narrative review of peer-reviewed and grey literature on international approaches to use of additional (secondary) diagnoses in the development of Australian and international DRG systems. ANALYSIS: European and US approaches to characterise complexity of inpatient care are well-documented, providing useful points of comparison with Australia's. Australia, with good data sources, has continued to refine its national DRG classification using increasingly sophisticated approaches. Hospital funders in Australia and in other systems are often under pressure from provider groups to expand classifications to reflect clinical complexity. DRG development in most healthcare systems reviewed here reflects four critical factors: these socio-political factors, the quality and depth of the coded data available to characterise the mix of cases in a healthcare system, the size of the underlying population, and the intended scope and use of the classification. Australia's relatively small national population has constrained the size of its DRG classifications, and development has been concentrated on inpatient care in public hospitals. DISCUSSION AND CONCLUSIONS: Development of casemix classifications in health care is driven by both technical and socio-political factors. Use of additional diagnoses to adjust for patient complexity and cost needs to respond to these in each casemix application.

In search of an integrative measure of functioning.

International trends towards people-centred, integrative care and support require any measurement of functioning and disability to meet multiple aims. The information requirements of two major Australian programs for disability and rehabilitation are outlined, and the findings of two searches for suitable measures of functioning and disability are analysed. Over 30 current measures of functioning were evaluated in each search. Neither search found a generic measure of functioning suitable for these multibillion dollar programs, relevant to a wide range of people with a variety of health conditions and functioning experiences, and capable of indicating support needs, associated costs, progress and outcomes. This unsuccessful outcome has implications internationally for policy-relevant information for disability, rehabilitation and related programs. The paper outlines the features of an Integrative Measure of Functioning (IMF) based on the concepts of functioning and environmental factors in the International Classification of Functioning, Disability and Health (ICF). An IMF would be applicable across a variety of health conditions, settings and purposes, ranging from individual assessment to public health. An IMF could deliver person-centred, policy-relevant information for a range of programs, promoting harmonised language and measurement and supporting international trends in human services and public health.

Linked canopy, climate, and faunal change in the Cenozoic of Patagonia.

Vegetation structure is a key determinant of ecosystems and ecosystem function, but paleoecological techniques to quantify it are lacking. We present a method for reconstructing leaf area index (LAI) based on light-dependent morphology of leaf epidermal cells and phytoliths derived from them. Using this proxy, we reconstruct LAI for the Cenozoic (49 million to 11 million years ago) of middle-latitude Patagonia. Our record shows that dense forests opened up by the late Eocene; open forests and shrubland habitats then fluctuated, with a brief middle-Miocene regreening period. Furthermore, endemic herbivorous mammals show accelerated tooth crown height evolution during open, yet relatively grass-free, shrubland habitat intervals. Our Patagonian LAI record provides a high-resolution, sensitive tool with which to dissect terrestrial ecosystem response to changing Southern Ocean conditions during the Cenozoic.

The feeding biomechanics and dietary ecology of Paranthropus boisei.

The African Plio-Pleistocene hominins known as australopiths evolved derived craniodental features frequently interpreted as adaptations for feeding on either hard, or compliant/tough foods. Among australopiths, Paranthropus boisei is the most robust form, exhibiting traits traditionally hypothesized to produce high bite forces efficiently and strengthen the face against feeding stresses. However, recent mechanical analyses imply that P. boisei may not have been an efficient producer of bite force and that robust morphology in primates is not necessarily strong. Here we use an engineering method, finite element analysis, to show that the facial skeleton of P. boisei is structurally strong, exhibits a strain pattern different from that in chimpanzees (Pan troglodytes) and Australopithecus africanus, and efficiently produces high bite force. It has been suggested that P. boisei consumed a diet of compliant/tough foods like grass blades and sedge pith. However, the blunt occlusal topography of this and other species suggests that australopiths are adapted to consume hard foods, perhaps including grass and sedge seeds. A consideration of evolutionary trends in morphology relating to feeding mechanics suggests that food processing behaviors in gracile australopiths evidently were disrupted by environmental change, perhaps contributing to the eventual evolution of Homo and Paranthropus.