Advancing Refugee Health Data Management: The Implementation of ICD-11 in UNRWA's Primary Care System.

The United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA) was one of the earliest healthcare systems globally to implement the International Classification of Diseases, Eleventh Revision (ICD-11) across its 140 clinics serving 5.9 million Palestine refugees. This paper discusses the integration of ICD-11 into UNRWA's cloud-based electronic medical record (EMR) system, identifying both the barriers and facilitators involved and analyzing trends in clinical documentation and healthcare utilization. The key challenges included data privacy provisions, integration into a coordinated care model, complex classification schema for primary care settings, frequent staff turnover, and limited data analysis capabilities. Conversely, facilitators included physician-tailored training and on-site support, system compatibility, a multidisciplinary team approach, policy support from UNRWA and the World Health Organization (WHO), and leadership commitment and effective change management. Medical officers (MOs) using ICD-11 reported greater satisfaction with the system's capabilities in managing and visualizing health information. This article contributes to the discourse on health data management in complex humanitarian settings, offering insights into the benefits and challenges of implementing advanced classification systems like ICD-11. Future research should explore longitudinal impacts and further integration with global health systems, ensuring that the advancements in classification continue to support the overarching goal of health equity and access in vulnerable and hard-to-reach populations.

Two decades of the International Classification of Functioning, Disability and Health (ICF) in health research: a bibliometric analysis.

Introduction: We conducted a twenty-year bibliometric analysis of scientific literature, focusing on the trends of The International Classification of Functioning, Disability and Health (ICF) use in health research.Methods: We retrieved 3'467 documents published between 2002 and 2022, sourced from the Web of Science Core Collection database. We used the Bibliometrix and VoSviewer tools for descriptive analyses and data visualization.Results: Our findings indicate a significant increase in ICF application since 2011, with an average annual growth rate of 13.19%. Prominent contributions were observed globally, with notable outputs from the U.S., Canada, Germany, the Netherlands, and Switzerland. The Ludwig Maximilian University Munich, Swiss Paraplegic Research, and McMaster University authored a quarter of the documents (24.6%). Collaboration networks of countries and institutions revealed robust partnerships, particularly between Germany and Switzerland. "Rehabilitation" was the most frequently occurring keyword, although a thematic shift towards epidemiology, aging, and health-related quality of life was observed post-2020. While rehabilitation remained the primary thematic focus, literature post-2020 highlighted epidemiology as a growing area of interest.Conclusions: A steady increase in ICF-based research mirrors the rising interest in a biopsychosocial and person-centered approach to healthcare. However, the literature is primarily produced by high-resource countries, with underrepresentation from low and middle-resource countries, suggesting an area of future research to address this discrepancy.

The International Classification of Functioning, Disability and Health (ICF) serves as a universal framework for describing functioning and disability.The increasing application of the ICF in rehabilitation research underscores its value in developing comprehensive, person-centered care plans.By integrating the ICF, rehabilitation programs can better address the multifaceted needs of patients, facilitating improved outcomes in participation and quality of life.The observed thematic shift towards aging and health-related quality of life post-2020 indicates the growing relevance of the ICF in managing the complex health challenges of an aging population.The study also suggests that expanding the ICF implementation in low- and middle-income countries could bridge existing disparities in rehabilitation services, promoting global health equity.

Experiences in aligning WHO SMART guidelines to classification and terminology standards.

OBJECTIVES: Digital adaptation kits (DAKs) distill WHO guidelines for digital use by representing them as workflows, data dictionaries and decision support tables. This paper aims to highlight key lessons learnt in coding data elements of the antenatal care (ANC) and family planning DAKs to standardised classifications and terminologies (CATs). METHODS: We encoded data elements within the ANC and family planning DAKs to standardised CATs from the WHO CATs and other freely available CATs. RESULTS: The coding process demonstrated approaches to refine the data dictionaries and enhance alignment between data elements and CATs. DISCUSSION: Applying CATs to WHO clinical and public health guidelines can ensure that recommendations are operationalised in a digital system with appropriate consistency and clarity. This requires a multidisciplinary team and careful review to achieve conceptual equivalence between data elements and standardised terminologies. CONCLUSION: The systematic translation of guidelines into digital systems provides an opportunity for leveraging CATs; however, this approach needs further exploration into its implementation in country contexts and transition into machine-readable components.

20 Years of ICF-International Classification of Functioning, Disability and Health: Uses and Applications around the World.

The International Classification of Functioning Disability and Health (ICF) was approved in 2001 and, since then, several studies reported the increased interest about its use in different sectors. A recent overview that summarizes its applications is lacking. This study aims to provide an updated overview about 20 years of ICF application through an international online questionnaire, developed by the byline authors, and sent to each World Health Organization Collaborating Centers of the Family of International Classifications (WHO-FIC CCs). Data was collected during October 2020 and December 2021 and descriptive content analyses were used to report main results. Results show how, in most of the respondent countries represented by WHO-FIC CCs, ICF was mainly used in clinical practice, policy development and social policy, and in education areas. Despite its applications in different sectors, ICF use is not mandatory in most countries but, where used, it provides a biopsychosocial framework for policy development in health, functioning and disability. The study provides information about the needs related to ICF applications, that can be useful to organize targeted intervention plans. Furthermore, this survey methodology can be re-proposed periodically to monitor the use of the ICF in the future.

ICD-11 Morbidity Pilot in Kuwait: Methodology and Lessons Learned for Future Implementation.

This paper reports on the first ICD-11 morbidity pilot for inpatient discharges in a public general hospital. We detail the pilot methodology, lessons learned in terms of facilitators and challenges, physician-reported opinion, and considerations for future implementation. The pilot included: engaging stakeholders; selecting the setting; building a common understanding of the discharge process; evaluating and preparing IT infrastructure; ICD-11 training; small-scale pre-pilot testing; implementing the pilot while providing on-site support and collecting data for analysis including a brief user-experience survey. Overall, physicians were satisfied with the experience. Facilitators for success included national health system influence, leadership commitment, a multidisciplinary team approach, physician-tailored training, using social media for training, and providing on-site support. Challenges included potential IT problems, and difficulties relating to training and engaging physicians. Issues to consider include DRG system requirements, and comparability of ICD-11 pilot results from different countries. In conclusion, ICD-11 can be successfully implemented for documenting diagnoses by physicians in a public hospital by installing the coding tool on the electronic hospital information system. Pilots can improve ICD-11 content by using the online proposal mechanism. Implementing ICD-11 requires effective change management, stakeholder-tailored communication, and innovative ideas for training to match the electronic nature of ICD-11 and its potential new users, physicians.

Generating comprehensive functioning and disability data worldwide: development process, data analyses strategy and reliability of the WHO and World Bank Model Disability Survey.

BACKGROUND: Data on functioning and disability collected at population level is essential to complement mortality and morbidity, to estimate rehabilitation needs of countries and regions and to monitor the Convention on the Rights of Persons with Disabilities (CRPD) and the Sustainable Development Goals (SDGs). The objective of this paper is to briefly report the development process of the WHO Model Disability Survey, its data analysis strategy as well as its reliability and ability to measure low to high levels of functioning and disability across countries. METHODS: The development process is described in detail, and a secondary analysis using Rasch methods is conducted to report reliability and targeting using data from eight national and two regional implementations of the survey. RESULTS: The currently available versions of the Model Disability Survey are presented. The survey has good to very good internal reliability and good targeting in all included countries. CONCLUSION: The participatory and evidence-based development, consideration of the expertise of stakeholders, the availability of previously developed ICF-based surveys, and WHO tools targeting functioning and disability are reflected in its good to very good psychometric properties. The survey has been implemented to date in Afghanistan, Cameroon, Chile, Costa Rica, India, Laos, Pakistan, Philippines, Sri Lanka, and Tajikistan, and is used to inform policy-making, to monitor the CRPD and SDGs and to plan the delivery of rehabilitation services.

Measuring functioning and disability using household surveys: metric properties of the brief version of the WHO and World Bank model disability survey.

BACKGROUND: The Model Disability Survey (MDS) is the current standard recommended by WHO to collect functioning and disability data. Answering calls from countries requesting a version to be implemented as a module that could be integrated into existing surveys and be used for monitoring disability trends and for data disaggregation, WHO developed the brief MDS. The objectives of this paper are to evaluate the metric properties of the disability metrics generated with the Brief MDS and the precision of the Brief MDS in comparison with the full MDS. RESULTS: The partial credit model, a unidimensional model for polytomous data from the Rasch family, was applied to evaluate psychometric properties using data from national MDS implementations in Chile (N = 12,265) and in Sri Lanka (N = 3000). The Brief MDS generates valid metrics for measuring disability, from the perspectives of capacity and performance, thereby achieving good levels of measurement precision in comparison with its full counterpart. CONCLUSION: Given the scarcity of valid functioning and disability modules for household surveys, the Brief MDS represents a milestone in disability measurement. The Brief MDS is currently used by countries to monitor disability trends over time, which is especially important to evaluate the impact of health policies and public health interventions, to disaggregate indicators of the Sustainable Development Goals, and to monitor the implementation of the UN Convention on the Rights of Persons with Disabilities (CRPD).

Measurement of maternal functioning during pregnancy and postpartum: findings from the cross-sectional WHO pilot study in Jamaica, Kenya, and Malawi.

BACKGROUND: The World Health Organization's definition of maternal morbidity refers to "a negative impact on the woman's wellbeing and/or functioning". Many studies have documented the, mostly negative, effects of maternal ill-health on functioning. Although conceptually important, measurement of functioning remains underdeveloped, and the best way to measure functioning in pregnant and postpartum populations is unknown. METHODS: A cross-sectional study among women presenting for antenatal (N = 750) and postpartum (N = 740) care in Jamaica, Kenya and Malawi took place in 2015-2016. Functioning was measured through the World Health Organization Disability Assessment Schedule (WHODAS-12). Data on health conditions and socio-demographic characteristics were collected through structured interview, medical record review, and clinical examination. This paper presents descriptive data on the distribution of functioning status among pregnant and postpartum women and examines the relationship between functioning and health conditions. RESULTS: Women attending antenatal care had a lower level of functioning than those attending postpartum care. Women with a health condition or associated demographic risk factor were more likely to have a lower level of functioning than those with no health condition. However, the absolute difference in functioning scores typically remained modest. CONCLUSIONS: Functioning is an important concept which integrates a woman-centered approach to examining how a health condition affects her life, and ultimately her return to functioning after delivery. However, the WHODAS-12 may not be the optimal tool for use in this population and additional components to capture pregnancy-specific issues may be needed. Challenges remain in how to integrate functioning outcomes into routine maternal healthcare at-scale and across diverse settings.

Integration of International Classification of Diseases Version 11 Application Program Interface (API) in the Rwandan Electronic Medical Records (openMRS): Findings from Two District Hospitals in Rwanda.

World Health Organisation (WHO) has updated the International Classification of Diseases to version 11 (ICD-11) which was recently adopted for use by countries in 2019. ICD-11 can be used in Electronic Medical Records (EMR) systems with support of extended technologies like Application Program Interface (API). Integration of ICD-11 in Rwandan EMR (OpenMRS) in two health facilities was conducted in July-October 2019. Findings indicated that adapting ICD11-API in EMR is feasible. More than 50% of diagnoses were recorded using ICD-11. Healthcare providers perceived ICD-11 API as easy to learn and useful for harmonization of diagnosis, data reporting and insurance reimbursement. Integration of ICD-11 API in EMR can be scaled up to all hospitals for use in Rwanda and other countries using similar system.

Global implementation of the world health organization's International Classification of Diseases (ICD)-11: The allergic and hypersensitivity conditions model.

The International Classification of Diseases (ICD) provides a common language for use worldwide as a diagnostic and classification tool for epidemiology, clinical purposes and health management. Since its first edition, the ICD has maintained a framework distributing conditions according to topography, with the result that some complex conditions, such as allergies and hypersensitivity disorders (A/H) including anaphylaxis, have been poorly represented. The change in hierarchy in ICD-11 permitted the construction of the pioneer section addressed to A/H, which may result in more accurate mortality and morbidity statistics, including more accurate accounting for mortality due to anaphylaxis, strengthen classification, terminology and definitions. The ICD-11 was presented and adopted by the 72nd World Health Assembly in May 2019, and the implementation is ongoing worldwide. We here present the outcomes from an online survey undertaken to reach out the allergy community worldwide in order to peer review the terminology, classification and definitions of A/H introduced into ICD-11 and to support their global implementation. Data are presented here for 406 respondents from 74 countries. All of the subsections of the new A/H section of the ICD-11 had been considered with good accuracy by the majority of respondents. We believe that, in addition to help during the implementation phase, all the comments provided will help to improve the A/H classification and to increase awareness by different disciplines of what actions are needed to ensure more accurate epidemiological data and better clinical management of A/H patients.

[Quality of care analyses using ICD 11 : Detailed capture of treatment events]. / Analyse der Behandlungsqualität mittels ICD­11 : Differenzierte Kodierung von Behandlungsfehlern.

The identification of treatment errors, the so-called "undesirable" or "critical incidents", is crucial for improving and developing the quality of care. The new International Statistical Classification of Diseases and Related Health Problems-ICD-11-supports a structured data collection in the context of the quality of care and patient safety. Documentation conceptually relies on the multiple coding of the three dimensions of a critical incident: harm, cause, and mode. In this way, it is possible to capture the event in great detail, including the reasons for it and the effects it has. An evaluation of this concept in a field trial using 45 clinical case studies showed good concordance in coding across the documented participants.As the ICD-11 permits the detailed capture of near misses and their context, it could be used for structured documentation in incident reporting systems (databanks for the anonymous reporting of treatment errors). In this way, the error reports can be gathered in a more systematic way, so that they can be used for better quality improvement.In quality assessment, it is important to consider the time of diagnosis. Thus, the feature present on admission (POA) is a diagnosis qualifier that is of substantial importance for quality assessment and is widely used internationally. Up to now, it has not been permanently available in Germany. ICD-11 includes the relevant code.

[Web-based field studies on diagnostic classification and code assignment of mental disorders: comparison of ICD-11 and ICD-10]. / Internetbasierte Untersuchungen zur diagnostischen Klassifikation und Kodierung psychischer Störungen im Vergleich von ICD-11 und ICD-10.

The German Society for Psychiatry, Psychosomatics and Psychotherapy (DGPPN,) conducted a comprehensive field study (principal investigator WG) funded by the German Federal Ministry of Health in cooperation with 4 other German medical societies in the field of mental health (DGPM, DGPPR, DeGFS, DGfS) * to support WHO's development of the ICD-11 (Chapters 6 and 17). The objective of the web-based field study was to compare ICD-10 and ICD-11 (beta draft) for selected mental disorders, regarding consistency, accuracy and assessment of utility. The first study (TP1) focused on the diagnostic classification and the second (TP2) on assignment of diagnostic codes.In TP1, clinicians used either the ICD-10 Clinical Descriptions and Diagnostic Guidelines (CDDG) version or a draft version of the ICD-11 CDDG to evaluate 10 case vignettes in a randomized study implemented through the WHO GCPN **. As hypothesized, consistency was in favor of the ICD-11 (p = .02; n = 319 expert participants) though there was some variability across the different diagnostic categories. In addition, time for diagnosis was shorter (p = .01) and clinicians' judgment of utility (ease of use; goodness of fit) was better for ICD-11 (p = .047 and p < .001 respectively).TP2 focused on consistency of diagnostic code assignment for 25 short case descriptions (including explicit diagnosis and additional clinical information) using both ICD-10 and ICD-11 in a randomized web-based field study which was run on the WHO ICD-FiT *** platform. Based on 531 code assignments by120 expert clinicians, consistency for ICD-11 was significantly lower compared to ICD-10 (71 % vs. 82 %, p < .001) contrary to study hypothesis, and time required was significantly higher for ICD-11 (p < .001). Nevertheless, utility assessments were in favor of ICD-11 (p < .005).In summary, in TP1, given vignettes with more complex clinical descriptions more similar to clinical cases, ICD-11 showed advantages in the consistency of correct diagnoses among clinicians, time required to reach a diagnosis, and clinicians' ratings of clinical utility. These results provide evidence for quality improvement of the diagnostic process due to the revision of the more complete diagnostic guidelines for ICD-11. In the coding task of TP2, coding by clinicians using the ICD-10 was more consistent and faster than coding using the ICD-11. This may be a result of the greater complexity for coding use of the ICD-11 (e. g., due to 'post-coordination'), as well as greater familiarity with the ICD-10 system (which German clinicians currently use) and lack of practice with the new ICD-11 codes and tools. In spite of this, users assessed the ICD-11 system as more useful than the ICD-10, in part also because of ICD-11's more systematic and comprehensive coding tools. In addition, time needed for coding improved with practice, indicating need for intense education and training initiatives when ICD-11 is adopted and implemented into clinical practice.

Consequences of maternal morbidity on health-related functioning: a systematic scoping review.

OBJECTIVES: To assess the scope of the published literature on the consequences of maternal morbidity on health-related functioning at the global level and identify key substantive findings as well as research and methodological gaps. METHODS: We searched for articles published between 2005 and 2014 using Medline, Embase, Popline, CINAHL Plus and three regional bibliographic databases in January 2015. DESIGN: Systematic scoping review PRIMARY OUTCOME: Health-related functioning RESULTS: After screening 17 706 studies, 136 articles were identified for inclusion. While a substantial number of papers have documented mostly negative effects of morbidity on health-related functioning and well-being, the body of evidence is not spread evenly across conditions, domains or geographical regions. Over 60% of the studies focus on indirect conditions such as depression, diabetes and incontinence. Health-related functioning is often assessed by instruments designed for the general population including the 36-item Short Form or disease-specific tools. The functioning domains most frequently documented are physical and mental; studies that examined physical, mental, social, economic and specifically focused on marital, maternal and sexual functioning are rare. Only 16 studies were conducted in Africa. CONCLUSIONS: Many assessments have not been comprehensive and have paid little attention to important functioning domains for pregnant and postpartum women. The development of a comprehensive instrument specific to maternal health would greatly advance our understanding of burden of ill health associated with maternal morbidity and help set priorities. The lack of attention to consequences on functioning associated with the main direct obstetric complications is of particular concern. REVIEW REGISTRATION: CRD42015017774.

Piloting a Collaborative Web-Based System for Testing ICD-11.

BACKGROUND: The 11th revision of the International Classification of Diseases (ICD-11), for the first time in ICD history, deployed web-based collaboration of experts and ICT tools. To ensure that ICD-11 is working well, it needs to be systematically field tested in different settings, across the world. This will be done by means of a number of experiments. In order to support its implementation, a web-based system (ICDfit) has been designed and developed. The present paper illustrates the current prototype of the system and its technical testing. METHODS: the system has been designed according to WHO requirements, and implemented using PHP and MySQL. Then, a preliminary technical test has been designed and run in January 2016, involving 8 users. They had to carry out double coding, that is, coding case summaries with both ICD-10 and ICD-11, and answering quick questions on the coding difficulty. RESULTS: the 8 users coded 632 cases each, spending an average of 163 seconds per case. While we found an issue in the mechanism used to record coding times, no further issues were found. CONCLUSION: the proposed system seems to be technically adequate for supporting future ICD-11 testing.

Deriving ICD-10 Codes for Patient Safety Indicators for Large-scale Surveillance Using Administrative Hospital Data.

BACKGROUND: Existing administrative data patient safety indicators (PSIs) have been limited by uncertainty around the timing of onset of included diagnoses. OBJECTIVE: We undertook de novo PSI development through a data-driven approach that drew upon "diagnosis timing" information available in some countries' administrative hospital data. RESEARCH DESIGN: Administrative database analysis and modified Delphi rating process. SUBJECTS: All hospitalized adults in Canada in 2009. MEASURES: We queried all hospitalizations for ICD-10-CA diagnosis codes arising during hospital stay. We then undertook a modified Delphi panel process to rate the extent to which each of the identified diagnoses has a potential link to suboptimal quality of care. We grouped the identified quality/safety-related diagnoses into relevant clinical categories. Lastly, we queried Alberta hospital discharge data to assess the frequency of the newly defined PSI events. RESULTS: Among 2,416,413 national hospitalizations, we found 2590 unique ICD-10-CA codes flagged as having arisen after admission. Seven panelists evaluated these in a 2-round review process, and identified a listing of 640 ICD-10-CA diagnosis codes judged to be linked to suboptimal quality of care and thus appropriate for inclusion in PSIs. These were then grouped by patient safety experts into 18 clinically relevant PSI categories. We then analyzed data on 2,381,652 Alberta hospital discharges from 2005 through 2012, and found that 134,299 (5.2%) hospitalizations had at least 1 PSI diagnosis. CONCLUSION: The resulting work creates a foundation for a new set of PSIs for routine large-scale surveillance of hospital and health system performance.

Measuring functioning and disability after a disaster: results from the typhoon Haiyan/Yolanda-affected areas of the Philippines.

The most commonly reported data after natural disasters are the number of deceased and displaced and the structural and economic damage, whereas disability data are often lacking. Our study assessed disability among the survivors of the Haiyan/Yolanda typhoon that struck Philippines in 2013 and is aimed to identify which context-level variables are associated with higher disability. We used a cross-sectional design and administered a household questionnaire, an individual sociodemographic questionnaire, and the WHODAS 2.0 to 1982 adults. Logistic regression analysis was carried out to address the degree to which demographic variables, effects of the typhoon, individual health state, and rural or urban residence were associated with higher disability. Those aged above 65, employed individuals, students, those not living in their households, and those with one or more health condition or rating their own as health moderate or very poor had higher likelihood of having severe disability. Survivors living in rural contexts and those who received tools/materials to repair their houses were less likely to have higher disability. This study outlines that disability can and should be used as an indicator in surveys after emergencies to identify the most vulnerable groups, thus guiding policies, reconstruction strategies, and health and social interventions.

Socio-demographic patterns of disability among older adult populations of low-income and middle-income countries: results from World Health Survey.

OBJECTIVE: Our objective was to quantify disability prevalence among older adults of low- and middle-income countries, and measure socio-demographic distribution of disability. METHODS: World Health Survey data included 53,447 adults aged 50 or older from 43 low- and middle-income countries. Disability was a binary classification, based on a composite score derived from self-reported functional difficulties. Socio-demographic variables included sex, age, marital status, area of residence, education level, and household economic status. A multivariate Poisson regression model with robust variance was used to assess associations between disability and socio-demographic variables. RESULTS: Overall, 33.3 % (95 % CI 32.2-34.4 %) of older adults reported disability. Disability was 1.5 times more common in females, and was positively associated with increasing age. Divorced/separated/widowed respondents reported higher disability rates in all but one study country, and education and wealth levels were inversely associated with disability rates. Urban residence tended to be advantageous over rural. Country-level datasets showed disparate patterns. CONCLUSIONS: Effective approaches aimed at disability prevention and improved disability management are warranted, including the inclusion of equity considerations in monitoring and evaluation activities.

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.