Enhanced capture of healthcare-related harms and injuries in the 11th revision of the International Classification of Diseases (ICD-11).

The World Health Organization (WHO) plans to submit the 11th revision of the International Classification of Diseases (ICD) to the World Health Assembly in 2018. The WHO is working toward a revised classification system that has an enhanced ability to capture health concepts in a manner that reflects current scientific evidence and that is compatible with contemporary information systems. In this paper, we present recommendations made to the WHO by the ICD revision's Quality and Safety Topic Advisory Group (Q&S TAG) for a new conceptual approach to capturing healthcare-related harms and injuries in ICD-coded data. The Q&S TAG has grouped causes of healthcare-related harm and injuries into four categories that relate to the source of the event: (a) medications and substances, (b) procedures, (c) devices and (d) other aspects of care. Under the proposed multiple coding approach, one of these sources of harm must be coded as part of a cluster of three codes to depict, respectively, a healthcare activity as a 'source' of harm, a 'mode or mechanism' of harm and a consequence of the event summarized by these codes (i.e. injury or harm). Use of this framework depends on the implementation of a new and potentially powerful code-clustering mechanism in ICD-11. This new framework for coding healthcare-related harm has great potential to improve the clinical detail of adverse event descriptions, and the overall quality of coded health data.

Developing and validating an index for measuring health in patients with ankylosing spondylitis.

OBJECTIVES: The impact of disease on functioning is the essential information for clinicians when reporting on health problems of individuals. The International Classification of Functioning, Disability and Health (ICF) is a comprehensive and universally accepted model to classify and describe functioning, disability and health in a systematic way. The objective of this article is to outline the development and validation of a health index for patients with AS based on the ICF as a use case. METHODS: The project is a combined effort of the Assessment of SpondyloArthritis International Society, the ICF Research Branch of the World Health Organization (WHO) Collaboration Centre of the Family of International Classifications and the WHO. There are five steps in the development and validation of the health index for patients with AS: (i) development of an item pool; (ii) identification of candidate items; (iii) item selection; (iv) item reduction; and (v) creation of a final version. Consensus about items that have to be part will be reached in a final consensus conference. RESULTS: During a meeting in February 2009, we coordinated the development process of the health index for patients with AS. The results of this investigation will be the health index for patients with AS. CONCLUSION: The goal of developing a health index for patients with AS based on the ICF is very much in line with the broader goal of the WHO to define health indices to ensure the comparability of them within the framework of the ICF.

Estimating the potential impact of behavioral public health interventions nationally while maintaining agreement with global patterns on relative risks.

OBJECTIVE: This paper introduces a novel method to evaluate the local impact of behavioral scenarios on disease prevalence and burden with representative individual level data while ensuring that the model is in agreement with the qualitative patterns of global relative risk (RR) estimates. The method is used to estimate the impact of behavioral scenarios on the burden of disease due to ischemic heart disease (IHD) and diabetes in the Turkish adult population. METHODS: Disease specific Hierarchical Bayes (HB) models estimate the individual disease probability as a function of behaviors, demographics, socio-economics and other controls, where constraints are specified based on the global RR estimates. The simulator combines the counterfactual disease probability estimates with disability adjusted life year (DALY)-per-prevalent-case estimates and rolls up to the targeted population level, thus reflecting the local joint distribution of exposures. The Global Burden of Disease (GBD) 2016 study meta-analysis results guide the analysis of the Turkish National Health Surveys (2008 to 2016) that contain more than 90 thousand observations. FINDINGS: The proposed Qualitative Informative HB models do not sacrifice predictive accuracy versus benchmarks (logistic regression and HB models with non-informative and numerical informative priors) while agreeing with the global patterns. In the Turkish adult population, Increasing Physical Activity reduces the DALYs substantially for both IHD by 8.6% (6.4% 11.2%), and Diabetes by 8.1% (5.8% 10.6%), (90% uncertainty intervals). Eliminating Smoking and Second-hand Smoke predominantly decreases the IHD burden 13.1% (10.4% 15.8%) versus Diabetes 2.8% (1.1% 4.6%). Increasing Fruit and Vegetable Consumption, on the other hand, reduces IHD DALYs by 4.1% (2.8% 5.4%) while not improving the Diabetes burden 0.1% (0% 0.1%). CONCLUSION: While the national RR estimates are in qualitative agreement with the global patterns, the scenario impact estimates are markedly different than the attributable risk estimates from the GBD analysis and allow evaluation of practical scenarios with multiple behaviors.

Depression, chronic diseases, and decrements in health: results from the World Health Surveys.

BACKGROUND: Depression is an important public-health problem, and one of the leading causes of disease burden worldwide. Depression is often comorbid with other chronic diseases and can worsen their associated health outcomes. Few studies have explored the effect of depression, alone or as a comorbidity, on overall health status. METHODS: The WHO World Health Survey (WHS) studied adults aged 18 years and older to obtain data for health, health-related outcomes, and their determinants. Prevalence of depression in respondents based on ICD-10 criteria was estimated. Prevalence values for four chronic physical diseases--angina, arthritis, asthma, and diabetes--were also estimated using algorithms derived via a Diagnostic Item Probability Study. Mean health scores were constructed using factor analysis and compared across different disease states and demographic variables. The relation of these disease states to mean health scores was determined through regression modelling. FINDINGS: Observations were available for 245 404 participants from 60 countries in all regions of the world. Overall, 1-year prevalence for ICD-10 depressive episode alone was 3.2% (95% CI 3.0-3.5); for angina 4.5% (4.3-4.8); for arthritis 4.1% (3.8-4.3); for asthma 3.3% (2.9-3.6); and for diabetes 2.0% (1.8-2.2). An average of between 9.3% and 23.0% of participants with one or more chronic physical disease had comorbid depression. This result was significantly higher than the likelihood of having depression in the absence of a chronic physical disease (p<0.0001). After adjustment for socioeconomic factors and health conditions, depression had the largest effect on worsening mean health scores compared with the other chronic conditions. Consistently across countries and different demographic characteristics, respondents with depression comorbid with one or more chronic diseases had the worst health scores of all the disease states. INTERPRETATION: Depression produces the greatest decrement in health compared with the chronic diseases angina, arthritis, asthma, and diabetes. The comorbid state of depression incrementally worsens health compared with depression alone, with any of the chronic diseases alone, and with any combination of chronic diseases without depression. These results indicate the urgency of addressing depression as a public-health priority to reduce disease burden and disability, and to improve the overall health of populations.

Content comparison of health-related quality of life instruments for obstructive sleep apnea.

BACKGROUND AND PURPOSE: Due to the increasing importance of quality of life assessments in obstructive sleep apnea (OSA) patients and due to an increased use of the International Classification of Functioning, Disability and Health (ICF), for comparative purposes it is essential to understand the relationship between health-related quality of life (HRQOL) instruments and the ICF. The purpose of this study was to compare the content covered by OSA-specific instruments using the ICF. PATIENTS AND METHODS: OSA-specific instruments were identified, including the Calgary Sleep Apnea Quality of Life Index, the Functional Outcomes of Sleep Questionnaire, the Obstructive Sleep Apnea Patient-Oriented Severity Index, and the Quebec Sleep Questionnaire, and linked to the ICF by six health professionals according to standardized guidelines. The degree of agreement between health professionals was calculated by means of the kappa statistic. RESULTS: A total of 308 concepts were identified and linked to 78 different ICF categories; 35 categories of the component body function, one category of the component body structure, 38 categories of the component activities and participation, and four categories of the component environmental factors. Only contents within the chapters mental functions, mobility and social life were addressed by all instruments. Forty-seven categories were covered by only one instrument. CONCLUSION: The ICF proved highly useful for the comparison of HRQOL instruments. This analysis may help researchers and clinicians to choose the most appropriate HRQOL instrument for a specific purpose as well as help to compare study outcomes of studies using different instruments for HRQOL assessment.

A deployment and Research Roadmap for Semantic Interoperability: the EU semantic health project.

The purpose of this EU funded project is to describe a short and medium term Research and Deployment Roadmap for Semantic Interoperability in e-health. It started by defining 4 levels and 3 dimensions for Semantic Interoperability. The vision is to reconcile the needs for the direct patient care safety, biomedical and clinical research and for public health by the reuse of direct care data: from gene to individuals and populations. The methodology is presented and preliminary results and milestones for the short and the long term are set. We conclude by statements on the main characteristics and needs of the roadmap to sustain better health for individual and populations in the changing EU health care systems.

Identification of candidate categories of the International Classification of Functioning Disability and Health (ICF) for a Generic ICF Core Set based on regression modelling.

BACKGROUND: The International Classification of Functioning, Disability and Health (ICF) is the framework developed by WHO to describe functioning and disability at both the individual and population levels.While condition-specific ICF Core Sets are useful, a Generic ICF Core Set is needed to describe and compare problems in functioning across health conditions. METHODS: The aims of the multi-centre, cross-sectional study presented here were: a) to propose a method to select ICF categories when a large amount of ICF-based data have to be handled, and b) to identify candidate ICF categories for a Generic ICF Core Set by examining their explanatory power in relation to item one of the SF-36. The data were collected from 1039 patients using the ICF checklist, the SF-36 and a Comorbidity Questionnaire.ICF categories to be entered in an initial regression model were selected following systematic steps in accordance with the ICF structure. Based on an initial regression model, additional models were designed by systematically substituting the ICF categories included in it with ICF categories with which they were highly correlated. RESULTS: Fourteen different regression models were performed. The variance the performed models account for ranged from 22.27% to 24.0%. The ICF category that explained the highest amount of variance in all the models was sensation of pain. In total, thirteen candidate ICF categories for a Generic ICF Core Set were proposed. CONCLUSION: The selection strategy based on the ICF structure and the examination of the best possible alternative models does not provide a final answer about which ICF categories must be considered, but leads to a selection of suitable candidates which needs further consideration and comparison with the results of other selection strategies in developing a Generic ICF Core Set.

ICF linking rules: an update based on lessons learned.

OBJECTIVE: Outcome research seeks to understand the end results of health services. Researchers use a wide variety of outcome measures including technical, clinical and patient-oriented measures. The International Classification of Functioning, Disability and Health (ICF) as a common reference framework for functioning may contribute to improved outcome research. The objective of this paper is to provide an updated version of the linking rules published in 2002 and illustrate how these rules are applied to link technical and clinical measures, health-status measures and interventions to the ICF. RESULTS: Three specific linking rules have been established to link health-status measures to the ICF and one specific linking rule has been created to link technical and clinical measures and interventions. A total of 8 linking rules have been established for use with all different outcome measures and with interventions. CONCLUSION: The newly updated linking rules will allow researchers systematically to link and compare meaningful concepts contained in them. This should prove extremely useful in selecting the most appropriate outcome measures among a number of candidate measures for the applied interventions. Further possible applications are the operationalization of concrete ICF categories using specific measures or the creation of ICF category-based item bankings.

ICD-11: a comprehensive picture of health, an update on the ICD-ICF joint use initiative.

BACKGROUND: This is a follow-up of the special report Towards the joint use of ICD and ICF: A call for contribution, published by the Journal of Rehabilitation Medicine in 2012, which introduced an initiative of using the International Classification of Diseases (ICD) and the International Classification of Functioning, Disability and Health (ICF) in a complementary way in clinical practice. Recognizing the merits of using the ICD and ICF jointly, the World Health Organization (WHO) introduced so-called functioning properties in the ICD-11. The first step in this ICD-ICF joint use initiative revealed 103 rehabilitation-relevant health conditions for which functioning properties were to be identified. Afterwards experts were recruited to identify the functioning properties for the health conditions for which no ICF Core Sets were available and all the functioning properties were integrated in the beta-version of ICD-11. OBJECTIVE: The objective of this special report is to present the outcome of the recruitment and training of the contributing experts, and to provide an update on the current status of identifying functioning properties and their integration in ICD-11. DISCUSSION: Having functioning properties in the ICD-11 achieves a milestone in depicting health information in an integrated and comprehensive manner. Explicitly identifying functioning properties for specific health conditions further reinforces the importance of acquiring a broader and more meaningful picture of a person's health, and can guide clinical decision-making.

Semantic Alignment between ICD-11 and SNOMED CT.

Due to fundamental differences in design and editorial policies, semantic interoperability between two de facto standard terminologies in the healthcare domain--the International Classification of Diseases (ICD) and SNOMED CT (SCT), requires combining two different approaches: (i) axiom-based, which states logically what is universally true, using an ontology language such as OWL; (ii) rule-based, expressed as queries on the axiom-based knowledge. We present the ICD-SCT harmonization process including: a) a new architecture for ICD-11, b) a protocol for the semantic alignment of ICD and SCT, and c) preliminary results of the alignment applied to more than half the domain currently covered by the draft ICD-11.

Clinical utility as a criterion for revising psychiatric diagnoses.

OBJECTIVE: Changes in DSM-IV were guided by empirical data that mostly focused on improving diagnostic validity and reliability. Although many changes were made explicitly to improve clinical utility, no formal effort was made to empirically determine actual improvements in clinical utility. The authors propose that future revisions of DSM empirically demonstrate improvement in clinical utility to clarify whether the advantages of changing the diagnostic criteria outweigh potential negative consequences. METHOD: The authors provide a formal definition of clinical utility and then suggest that the merits of a proposed change to DSM be evaluated by considering 1) its impact on the use of the diagnostic system, 2) whether it enhances clinical decision making, and 3) whether it improves clinical outcome. RESULTS: Evaluating a change based on its impact on use considers both user acceptability and accuracy in application of the diagnostic criteria. User acceptability can be measured by surveying users' reactions, assessing user acceptability in a field trial setting, and measuring the effects on ease of use. Assessment of the correct application of diagnostic criteria entails comparing the clinician's diagnostic assessment to expert diagnostic assessment. Assessments of the impact on clinical decision making use methods developed for evaluating adherence to practice guidelines. Improvement in outcome entails measuring reduction in symptom severity or improvement in functioning or in documenting the prevention of a future negative outcome. CONCLUSIONS: Empirical methods should be applied to the assessment of changes that purport to improve clinical utility in future revisions of DSM.

Healthy life expectancy: comparison of OECD countries in 2001.

OBJECTIVES: To compare average levels of population health for Australia and other OECD countries in 2001. METHODS: Healthy life expectancies (HALE) for OECD countries for 2001 are based on analysis of mortality data for OECD countries, country-specific estimates of health state prevalences for 135 causes from the Global Burden of Disease 2000 study, and an analysis of 34 health surveys in 28 OECD countries, using novel methods to improve the comparability of self-report data. RESULTS: HALE at birth ranges from a low of 59.8 years for Turkey to a high of 73.6 years in Japan in 2001. Australia ranks fourth among OECD countries at 71.6 years with a 95% uncertainty interval of 70.9 to 72.8 years, ahead of New Zealand in 13th place at 70.3 years. The equivalent 'lost' healthy years at birth range from around 10 years in OECD countries with lowest life expectancies to around eight years in those with high life expectancies at birth. There is a statistically significant association between higher levels of health expenditure and higher healthy life expectancy across OECD countries, although causal inferences require more sophisticated analyses of the health system and non-health system determinants of levels of health. CONCLUSIONS: The new methods used in the WHO Multi-Country Household Survey Study have increased the comparability of self-report data across OECD countries, a major step forward in the use of self-reported data on health. Building on this experience, WHO is developing improved health status measurement techniques for a World Health Survey to be carried out in 2002/03.

Global patterns of healthy life expectancy in the year 2002.

BACKGROUND: Healthy life expectancy--sometimes called health-adjusted life expectancy (HALE)--is a form of health expectancy indicator that extends measures of life expectancy to account for the distribution of health states in the population. The World Health Organization reports on healthy life expectancy for 192 WHO Member States. This paper describes variation in average levels of population health across these countries and by sex for the year 2002. METHODS: Mortality was analysed for 192 countries and disability from 135 causes assessed for 17 regions of the world. Health surveys in 61 countries were analyzed using new methods to improve the comparability of self-report data. RESULTS: Healthy life expectancy at birth ranged from 40 years for males in Africa to over 70 years for females in developed countries in 2002. The equivalent "lost" healthy years ranged from 15% of total life expectancy at birth in Africa to 8-9% in developed countries. CONCLUSION: People living in poor countries not only face lower life expectancies than those in richer countries but also live a higher proportion of their lives in poor health.

The ICF: Applications of the WHO model of functioning, disability and health to brain injury rehabilitation.

The traditional disease and diagnostic medical model is not always useful to brain injury professionals who need to describe, measure, and compare deficits associated with neurologic insult. Professionals in neurorehabilitation are in need of new systems that will assist them in identifying impairments and areas of intervention. The aim of this article is to present the International Classification of Functioning, Disability and Health (ICF), and its applications to brain injury rehabilitation. This taxonomy, developed by the WHO, allows the classification and assessment of functioning and disability in everyday activities and social involvement for individuals with medical conditions. Multi-disciplinary teams from 65 countries have collaborated in the development of the ICF to develop a tool that serves different purposes and disciplines with high trans-cultural validity. It can be of great value for professionals working in the field of brain injury who need to describe and quantify in detail neurocognitive, emotional, and sensory-motor functions as well as their impact on activities and participation in life situations. Its applications also extend to the domains of epidemiology, public health and public policy.

The role of environment in the International Classification of Functioning, Disability and Health (ICF).

PURPOSE: This paper provides a framework for understanding the impact of environmental factors on functioning when a person has a health condition. This understanding provides the rationale for including environmental factors in WHO's International Classification of Functioning, Disability and Health (ICF). METHOD AND RESULTS: This conceptual paper uses a review format to provide, firstly, an historical perspective on the integration of environmental factors into the understanding of disability and the ICF; secondly, a description of the overall ICF and, specifically, the environmental factors section; and thirdly, an overview of the interaction of a person with a health condition and the environment in which they live, and the outcome of disability. CONCLUSIONS: The ICF is a classification that allows a comprehensive and detailed description of a person's experience of disability, including the environmental barriers and facilitators that have an impact on a person's functioning. The recognition of the central role played by environmental factors has changed the locus of the problem and, hence, focus of intervention, from the individual to the environment in which the individual lives. Disability is no longer understood as a feature of the individual, but rather as the outcome of an interaction of the person with a health condition and the environmental factors.

What's in a class? Lessons learnt from the ICD - SNOMED CT harmonisation.

The upcoming ICD-11 will be harmonized with SNOMED CT via a common ontological layer (CO). We provide evidence for our hypothesis that this cannot be appropriately done by simple ontology alignment, due to diverging ontological commitment between the two terminology systems. Whereas the common ontology describes clinical situations, ICD-11 linearization codes are best to be interpreted as diagnostic statements. For the binding between ICD codes and classes from the ontological layer, a query-based approach is favoured.

ICD-11 and SNOMED CT Common Ontology: circulatory system.

The improvement of semantic interoperability between data in electronic health records and aggregated data for health statistics requires efforts to carefully align the two domain terminologies ICD and SNOMED CT. Both represent a new generation of ontology-based terminologies and classifications. The proposed alignment of these two systems and, in consequence, the validity of their cross-utilisation, requires a specific resource, named Common Ontology. We present the ICD-11 SNOMED CT Common Ontology building process including: a) the principles proposed for aligning the two systems with the help of a common model of meaning, b) the design of this common ontology, and c) preliminary results of the application to the diseases of the circulatory system.

Social network integration of the ICD11 revision platform.

Classification revision and update can be defined as a social experience, with the participating community of experts behaving like a social network. ICD11 is being revised using an innovative web based process, for which we envisioned also tools for social platforms integration. The present poster preliminarily describes the Facebook tools developed for soliciting expert and participation in the ICD11 revision process.

Sharing ontology between ICD 11 and SNOMED CT will enable seamless re-use and semantic interoperability.

In order to support semantic interoperability in eHealth systems, domain terminologies need to be carefully designed. SNOMED CT and the upcoming ICD-11 represent a new generation of ontology-based terminologies and classifications. The proposed alignment of these two systems and, in consequence, the validity of their cross-utilisation requires a thorough analysis of the intended meaning of their representational units. We present the ICD11 SNOMED CT harmonization process including: a) the clarification of the interpretation of codes in both systems as representing situations rather than conditions, b) the principles proposed for aligning the two systems with the help of a common ontology, c) the high level design of this common ontology, and d) further ontology-driven issues that have arisen in the course of this work.