The unique identifier as one of the essential tools for steering universal health coverage: The case of Morocco / L'identifiant unique comme un des instruments indispensables au pilotage de la couverture sanitaire universelle, le cas du Maroc.

INTRODUCTION: Morocco is carrying out several actions to generalize basic compulsory health insurance (CHI). Managing this project requires coordination, information sharing, and the commitment of all actors to the goal of covering an additional 22 million people. One of the key factors for achieving this objective is the implementation of a unified registration system. PURPOSE OF THE RESEARCH: The aim is to analyze the existing situation and the feasibility of implementing a unified registration system, and to describe the potential positive impact of the latter on the extension of CHI. RESULTS: This work is based on a diagnosis of the current situation. It draws on the legal framework, all available documents and figures, and on an analytical reading supported by existing literature. It reveals that due to the inadequacy or even the absence of an appropriate legal basis, each managing body has its own registration system. The lack of a unified system has given rise to a number of constraints. These concern, among other things: (i) mobility between or within schemes, which does not operate smoothly because it leads to re-registration (ii) inadequate monitoring of double benefit claims, which is the case for more than one scheme, due to insufficient and hesitant anti-fraud action (iii) the sharing and use of reliable data, which hinders decision making, evaluation, and monitoring. CONCLUSIONS: It is essential to adopt legal texts that will provide the basis for a unified system with regulations enabling the participation of all stakeholders, with the aim of steering the roll-out of CHI effectively and efficiently.

Introduction: Le Maroc mène, depuis quelques années, plusieurs actions permettant de généraliser l'assurance maladie obligatoire (AMO). Le pilotage de ce chantier nécessite la coordination, le partage d'informations et l'engagement de tous les acteurs afin de couvrir 22 millions de personnes supplémentaires. L'un des éléments clés pour optimiser la réalisation de cet objectif consiste à mettre en place un système unifié d'immatriculation. But de l'étude: Analyser l'existant et la faisabilité de la mise en place d'un système unifié d'immatriculation, tout en précisant ses retombées positives sur l'extension de l'AMO. Résultats: Ce travail, fondé sur un diagnostic, appuyé par l'arsenal juridique, des documents et des chiffres disponibles ainsi qu'une lecture analytique renforcée par la littérature existante, a permis de constater que, du fait de l'insuffisance voire l'absence d'un soubassement juridique adapté, chaque organisme gestionnaire a son propre système d'immatriculation. L'absence d'un système unifié gêne notamment : 1) la mobilité entre régimes ou intra-régimes, étant donné qu'elle ne se fait pas de manière fluide car elle génère la ré-immatriculation ; 2) le contrôle du double bénéfice d'un régime insuffisamment organisé et incapable de lutter contre la fraude ; 3) le partage et l'exploitation de données fiables empêchant d'assurer de manière appropriée le suivi, l'évaluation et la prise de décision. Conclusion: Il est indispensable d'adopter des textes juridiques pour fonder un système unifié qui permettra l'encadrement et l'engagement de toutes les parties prenantes dans l'objectif de piloter la généralisation de l'AMO avec efficacité et efficience.

Travelling numbers and broken loops: A qualitative systematic review on collecting and reporting maternal and neonatal health data in low-and lower-middle income countries.

Data and indicator estimates are considered vital to document persisting challenges in maternal and newborn health and track progress towards global goals. However, prioritization of standardised, comparable quantitative data can preclude the collection of locally relevant information and pose overwhelming burdens in low-resource settings, with negative effects on the provision of quality of care. A growing body of qualitative studies aims to provide a place-based understanding of the complex processes and human experiences behind the generation and use of maternal and neonatal health data. We conducted a qualitative systematic review exploring how national or international requirements to collect and report data on maternal and neonatal health indicators are perceived and experienced at the sub-national and country level in low-income and lower-middle income countries. We systematically searched six electronic databases for qualitative and mixed-methods studies published between January 2000 and March 2023. Following screening of 4084 records by four reviewers, 47 publications were included in the review. Data were analysed thematically and synthesised from a Complex Adaptive Systems (CAS) theoretical perspective. Our findings show maternal and neonatal health data and indicators are not fixed, neutral entities, but rather outcomes of complex processes. Their collection and uptake is influenced by a multitude of system hardware elements (human resources, relevancy and adequacy of tools, infrastructure, and interoperability) and software elements (incentive systems, supervision and feedback, power and social relations, and accountability). When these components are aligned and sufficiently supportive, data and indicators can be used for positive system adaptivity through performance evaluation, prioritization, learning, and advocacy. Yet shortcomings and broken loops between system components can lead to unforeseen emergent behaviors such as blame, fear, and data manipulation. This review highlights the importance of measurement approaches that prioritize local relevance and feasibility, necessitating participatory approaches to define context-specific measurement objectives and strategies.

Factors impacting clinical data and documentation quality in Australian aged care and disability services: a user-centred perspective.

BACKGROUND: Research has highlighted a need to improve the quality of clinical documentation and data within aged care and disability services in Australia to support improved regulatory reporting and ensure quality and safety of services. However, the specific causes of data quality issues within aged care and disability services and solutions for optimisation are not well understood. OBJECTIVES: This study explored aged care and disability workforce (referred to as 'data-users') experiences and perceived root causes of clinical data quality issues at a large aged care and disability services provider in Western Australia, to inform optimisation solutions. METHODS: A purposive sample of n = 135 aged care and disability staff (including community-based and residential-based) in clinical, care, administrative and/or management roles participated in semi-structured interviews and web-based surveys. Data were analysed using an inductive thematic analysis method, where themes and subthemes were derived. RESULTS: Eight overarching causes of data and documentation quality issues were identified: (1) staff-related challenges, (2) education and training, (3) external barriers, (4) operational guidelines and procedures, (5) organisational practices and culture, (6) technological infrastructure, (7) systems design limitations, and (8) systems configuration-related challenges. CONCLUSION: The quality of clinical data and documentation within aged care and disability services is influenced by a complex interplay of internal and external factors. Coordinated and collaborative effort is required between service providers and the wider sector to identify behavioural and technical optimisation solutions to support safe and high-quality care and improved regulatory reporting.

Does the health information system in Jordan support equity to improve health outcomes? Assessment and recommendations.

BACKGROUND: This study is based on extensive evidence-based assessments. The aim of this paper is to evaluate how well Jordan's health information system (HIS) incorporates social determinants of health inequity (SDHI) and to propose suggestions for future actions. METHODS: An extensive evidence-based assessment was performed. A meta-synthesis of the inclusion of the SDHI in the HIS in Jordan was conducted. After searching and shortlisting, 23 papers were analyzed using Atlas.ti 9.0 employing thematic analysis technique. RESULTS: The HIS in Jordan is quite comprehensive, comprising numerous data sources, various types of information, and data from multiple producers and managers. Nevertheless, the HIS confronts several obstacles and fails to ensure the timely and secure publication of available data. The assessment of the inclusion of the SDHI in the HIS showed that the HIS allows for the measurement of progress in relation to social policies and actions but has a very limited database for supporting the inclusion of health inequity measures. One reason for the difficulty in identifying fairness is that certain crucial information necessary for this task cannot be obtained through the available institutional HIS or population survey tools. Additionally, relevant modules for fairness may be missing from population surveys, possibly due to a failure to fully utilize the capabilities of the institutional HIS. CONCLUSION: There are opportunities to make use of Jordan's dedication to fairness and its already established strong HIS. Some social determinants of health exist in the HIS, but much more data, information, and effort are needed to integrate the SDHI into the Jordanian HIS. A proposal from a regional initiative has put forward a comprehensive set of indicators for integrating SDHI into HIS, which could aid in achieving health equity in Jordan.

Impact of a Nationwide Medication History Sharing Program on the Care Process and End-User Experience in a Tertiary Teaching Hospital: Cohort Study and Cross-Sectional Study.

Background: Timely and comprehensive collection of a patient's medication history in the emergency department (ED) is crucial for optimizing health care delivery. The implementation of a medication history sharing program, titled "Patient's In-home Medications at a Glance," in a tertiary teaching hospital aimed to efficiently collect and display nationwide medication histories for patients' initial hospital visits. Objective: As an evaluation was necessary to provide a balanced picture of the program, we aimed to evaluate both care process outcomes and humanistic outcomes encompassing end-user experience of physicians and pharmacists. Methods: We conducted a cohort study and a cross-sectional study to evaluate both outcomes. To evaluate the care process, we measured the time from the first ED assessment to urgent percutaneous coronary intervention (PCI) initiation from electronic health records. To assess end-user experience, we developed a 22-item questionnaire using a 5-point Likert scale, including 5 domains: information quality, system quality, service quality, user satisfaction, and intention to reuse. This questionnaire was validated and distributed to physicians and pharmacists. The Mann-Whiteny U test was used to analyze the PCI initiation time, and structural equation modeling was used to assess factors affecting end-user experience. Results: The time from the first ED assessment to urgent PCI initiation at the ED was significantly decreased using the patient medication history program (mean rank 42.14 min vs 28.72 min; Mann-Whitney U=346; P=.03). A total of 112 physicians and pharmacists participated in the survey. Among the 5 domains, "intention to reuse" received the highest score (mean 4.77, SD 0.37), followed by "user satisfaction" (mean 4.56, SD 0.49), while "service quality" received the lowest score (mean 3.87, SD 0.79). "User satisfaction" was significantly associated with "information quality" and "intention to reuse." Conclusions: Timely and complete retrieval using a medication history-sharing program led to an improved care process by expediting critical decision-making in the ED, thereby contributing to value-based health care delivery in a real-world setting. The experiences of end users, including physicians and pharmacists, indicated satisfaction with the program regarding information quality and their intention to reuse.

[Quality of health information in Mexico in the OECD context: 2017-2021]. / Calidad de la información en salud de México en el contexto de la OCDE: 2017-2021.

OBJECTIVE: To evaluate the health information system (HIS) of Mexico according to the information reported to the Organization for Economic Co-operation and Development (OECD). The ultimate goal is to identify the improvements that should be considered. METHOD: Health indicators published by the OECD (2017 to 2021) are analyzed according to 11 thematic groups. Coverage (quantity and type of indicators reported by thematic group) and quality of information were assessed, according to OECD guidelines. RESULTS: Mexico reported annually 14 of 378 indicators (3.7%), and discontinuously 204. In no group were all indicators reported annually, except for the two on COVID-19. Three out of 88 were reported annually on use of services; and none on health status, quality of care and pharmaceutical market. Twelve indicators (5.5% of those reported by Mexico, 3.2% of the full OECD set) had optimal quality and annual reporting. 57.7% of the reported indicators had at least one quality defect. CONCLUSIONS: Within the framework of the standards set by the OECD, of which Mexico is a member, the Mexican HIS presents significant deficits in coverage and quality of information. These results should be considered to implement improvement initiatives.

Intention to Use an Electronic Community Health Information System Among Health Extension Workers in Rural Northwest Ethiopia: Cross-Sectional Study Using the Unified Theory of Acceptance and Use of Technology 2 Model.

BACKGROUND: IT has brought remarkable change in bridging the digital gap in resource-constrained regions and advancing the health care system worldwide. Community-based information systems and mobile apps have been extensively developed and deployed to quantify and support health services delivered by community health workers. The success and failure of a digital health information system depends on whether and how it is used. Ethiopia is scaling up its electronic community health information system (eCHIS) to support the work of health extension workers (HEWs). For successful implementation, more evidence was required about the factors that may affect the willingness of HEWs to use the eCHIS. OBJECTIVE: This study aimed to assess HEWs' intentions to use the eCHIS for health data management and service provision. METHODS: A cross-sectional study design was conducted among 456 HEWs in 6 pilot districts of the Central Gondar zone, Northwest Ethiopia. A Unified Theory of Acceptance and Use of Technology model was used to investigate HEWs' intention to use the eCHIS. Data were cleaned, entered into Epi-data (version 4.02; EpiData Association), and exported to SPSS (version 26; IBM Corp) for analysis using the AMOS 23 Structural Equation Model. The statistical significance of dependent and independent variables in the model was reported using a 95% CI with a corresponding P value of <.05. RESULTS: A total of 456 HEWs participated in the study, with a response rate of 99%. The mean age of the study participants was 28 (SD 4.8) years. Our study revealed that about 179 (39.3%; 95% CI 34.7%-43.9%) participants intended to use the eCHIS for community health data generation, use, and service provision. Effort expectancy (ß=0.256; P=.007), self-expectancy (ß=0.096; P=.04), social influence (ß=0.203; P=.02), and hedonic motivation (ß=0.217; P=.03) were significantly associated with HEWs' intention to use the eCHIS. CONCLUSIONS: HEWs need to be computer literate and understand their role with the eCHIS. Ensuring that the system is easy and enjoyable for them to use is important for implementation and effective health data management.

Use of family planning information by primary healthcare clinic managers in South Africa.

BACKGROUND: Routine family planning data in South Africa are managed using a routine health information system, which facilitates data collection, storage, processing, presentation and dissemination. Healthcare providers generate data daily as they carry out their duties. The information generated should be used for planning and evaluating health program performance and policy development. OBJECTIVE: To explore the use of family planning information by primary healthcare (PHC) clinic managers in South Africa. METHOD: A qualitative descriptive exploratory study was carried out in 11 PHC clinics in Tshwane District. Individual semi-structured interviews were conducted with 11 clinic managers. The data were analysed using a thematic analysis approach. RESULTS: Managers used the information to disseminate performance and feedback, monitor the program's performance and make decisions to improve the family planning service. However, they experienced challenges that hampered the effective use of the information. CONCLUSION: The use of family planning information is critical for improving the performance of the program. The clinics need sufficient skilled healthcare providers who are able to provide comprehensive family planning and generate accurate and reliable information that can be used to improve the service. Collaboration between the private and public sectors is critical in monitoring the program's performance.

Pilot study using machine learning to improve estimation of physical abuse prevalence.

BACKGROUND: International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes have been shown to underestimate physical abuse prevalence. Machine learning models are capable of efficiently processing a wide variety of data and may provide better estimates of abuse. OBJECTIVE: To achieve proof of concept applying machine learning to identify codes associated with abuse. PARTICIPANTS AND SETTING: Children <5 years, presenting to the emergency department with an injury or abuse-specific ICD-10-CM code and evaluated by the child protection team (CPT) from 2016 to 2020 at a large Midwestern children's hospital. METHODS: The Pediatric Health Information System (PHIS) and the CPT administrative databases were used to identify the study sample and injury and abuse-specific ICD-10-CM codes. Subjects were divided into abused and non-abused groups based on the CPT's evaluation. A LASSO logistic regression model was constructed using ICD-10-CM codes and patient age to identify children likely to be diagnosed by the CPT as abused. Performance was evaluated using repeated cross-validation (CV) and Reciever Operator Characteristic curve. RESULTS: We identified 2028 patients evaluated by the CPT with 512 diagnosed as abused. Using diagnosis codes and patient age, our model was able to accurately identify patients with confirmed PA (mean CV AUC = 0.87). Performance was still weaker for patients without existing ICD codes for abuse (mean CV AUC = 0.81). CONCLUSIONS: We built a model that employs injury ICD-10-CM codes and age to improve accuracy of distinguishing abusive from non-abusive injuries. This pilot modelling endeavor is a steppingstone towards improving population-level estimates of abuse.

Design and Development of Learning Management System Huemul for Teaching Fast Healthcare Interoperability Resource: Algorithm Development and Validation Study.

BACKGROUND: Interoperability between health information systems is a fundamental requirement to guarantee the continuity of health care for the population. The Fast Healthcare Interoperability Resource (FHIR) is the standard that enables the design and development of interoperable systems with broad adoption worldwide. However, FHIR training curriculums need an easily administered web-based self-learning platform with modules to create scenarios and questions that the learner answers. This paper proposes a system for teaching FHIR that automatically evaluates the answers, providing the learner with continuous feedback and progress. OBJECTIVE: We are designing and developing a learning management system for creating, applying, deploying, and automatically assessing FHIR web-based courses. METHODS: The system requirements for teaching FHIR were collected through interviews with experts involved in academic and professional FHIR activities (universities and health institutions). The interviews were semistructured, recording and documenting each meeting. In addition, we used an ad hoc instrument to register and analyze all the needs to elicit the requirements. Finally, the information obtained was triangulated with the available evidence. This analysis was carried out with Atlas-ti software. For design purposes, the requirements were divided into functional and nonfunctional. The functional requirements were (1) a test and question manager, (2) an application programming interface (API) to orchestrate components, (3) a test evaluator that automatically evaluates the responses, and (4) a client application for students. Security and usability are essential nonfunctional requirements to design functional and secure interfaces. The software development methodology was based on the traditional spiral model. The end users of the proposed system are (1) the system administrator for all technical aspects of the server, (2) the teacher designing the courses, and (3) the students interested in learning FHIR. RESULTS: The main result described in this work is Huemul, a learning management system for training on FHIR, which includes the following components: (1) Huemul Admin: a web application to create users, tests, and questions and define scores; (2) Huemul API: module for communication between different software components (FHIR server, client, and engine); (3) Huemul Engine: component for answers evaluation to identify differences and validate the content; and (4) Huemul Client: the web application for users to show the test and questions. Huemul was successfully implemented with 416 students associated with the 10 active courses on the platform. In addition, the teachers have created 60 tests and 695 questions. Overall, the 416 students who completed their courses rated Huemul highly. CONCLUSIONS: Huemul is the first platform that allows the creation of courses, tests, and questions that enable the automatic evaluation and feedback of FHIR operations. Huemul has been implemented in multiple FHIR teaching scenarios for health care professionals. Professionals trained on FHIR with Huemul are leading successful national and international initiatives.

Reviewing Challenges in Specifying Interoperability Requirement in Procurement of Health Information Systems.

Procurement of health information systems (HIS) is a complex and critical task that requires early identification of interoperability requirements. However, specifying adequate requirements is often associated with several challenges. We examined relevant peer-reviewed literature and public documents (policy documents, annual reports, and newspapers) to summarize existing challenges in specifying interoperability requirement during procurement of HISs. In this study, 32 public documents and 2343 peer-reviewed articles were found using Google search engine, Springer, PubMed and ScienceDirect. Collected data were analyzed using a thematic coding schema. Our result shows that challenges related to describing the needs properly, conflicting needs and knowledge gaps are shared between most articles. Further research in the direction of developing a model that can bridge knowledge gaps, facilitate interdisciplinary collaboration, and help to avoid fuzzy requirements is needed.

Integrating factors associated with complex wound healing into a mobile application: Findings from a cohort study.

Complex, chronic or hard-to-heal wounds are a prevalent health problem worldwide, with significant physical, psychological and social consequences. This study aims to identify factors associated with the healing process of these wounds and develop a mobile application for wound care that incorporates these factors. A prospective multicentre cohort study was conducted in nine health units in Portugal, involving data collection through a mobile application by nurses from April to October 2022. The study followed 46 patients with 57 wounds for up to 5 weeks, conducting six evaluations. Healing time was the main outcome measure, analysed using the Mann-Whitney test and three Cox regression models to calculate risk ratios. The study sample comprised various wound types, with pressure ulcers being the most common (61.4%), followed by venous leg ulcers (17.5%) and diabetic foot ulcers (8.8%). Factors that were found to impair the wound healing process included chronic kidney disease (U = 13.50; p = 0.046), obesity (U = 18.0; p = 0.021), non-adherence to treatment (U = 1.0; p = 0.029) and interference of the wound with daily routines (U = 11.0; p = 0.028). Risk factors for delayed healing over time were identified as bone involvement (RR 3.91; p < 0.001), presence of odour (RR 3.36; p = 0.007), presence of neuropathy (RR 2.49; p = 0.002), use of anti-inflammatory drugs (RR 2.45; p = 0.011), stalled wound (RR 2.26; p = 0.022), greater width (RR 2.03; p = 0.002), greater depth (RR 1.72; p = 0.036) and a high score on the healing scale (RR 1.21; p = 0.001). Integrating the identified risk factors for delayed healing into the assessment of patients and incorporating them into a mobile application can enhance decision-making in wound care.

Calidad de la información en salud de México en el contexto de la OCDE: 2017-2021 / Quality of health information in Mexico in the OECD context: 2017-2021

Objetivo Evaluar el sistema de información en salud (SIS) de México según la información reportada a la Organización para la Cooperación y el Desarrollo Económicos (OCDE). El fin último es evidenciar las mejoras que se deberían considerar. Método Se analizan indicadores sobre salud publicados por la OCDE (2017 a 2021) según 11 grupos temáticos. Se valoraron cobertura (cantidad y tipo de indicadores reportados por grupo temático) y calidad de la información, según lineamientos de la OCDE. Resultados México reportó anualmente 14 de 378 indicadores (3,7%) y de forma discontinua 204. En ningún grupo se reportaron anualmente todos los indicadores, excepto los dos sobre COVID-19. Se reportan anualmente tres de 88 sobre utilización de servicios y ninguno sobre estado de salud, calidad de la atención y mercado farmacéutico. Con calidad óptima y reporte anual fueron 12 indicadores (5,5% de los reportados por México, 3,2% del set completo OCDE). El 57,7% de los indicadores reportados tuvieron al menos un defecto de calidad. Conclusiones En el marco de los estándares marcados por la OCDE, de la cual México es miembro, el SIS mexicano presenta déficits importantes de cobertura y de calidad de la información. Estos resultados deberían considerarse para implementar iniciativas de mejora. (AU)

Objective To evaluate the health information system (HIS) of Mexico according to the information reported to the Organization for Economic Co-operation and Development (OECD). The ultimate goal is to identify the improvements that should be considered. Method Health indicators published by the OECD (2017 to 2021) are analyzed according to 11 thematic groups. Coverage (quantity and type of indicators reported by thematic group) and quality of information were assessed, according to OECD guidelines. Results Mexico reported annually 14 of 378 indicators (3.7%), and discontinuously 204. In no group were all indicators reported annually, except for the two on COVID-19. Three out of 88 were reported annually on use of services; and none on health status, quality of care and pharmaceutical market. Twelve indicators (5.5% of those reported by Mexico, 3.2% of the full OECD set) had optimal quality and annual reporting. 57.7% of the reported indicators had at least one quality defect. Conclusions Within the framework of the standards set by the OECD, of which Mexico is a member, the Mexican HIS presents significant deficits in coverage and quality of information. These results should be considered to implement improvement initiatives. (AU)

Investigating the role of Cybersecurity's perceived threats in the adoption of health information systems.

Information technology is one of the most rapidly growing technologies globally. Over the last decade, its usage in healthcare has been remarkable. Over the last decade, its usage in healthcare has been remarkable. The study examines the impact of various factors as barriers to adopting the information system in healthcare. These factors are categorized into three major types: external attacks, which include phishing attacks and ransomware; employee factors, including lack of skills and the issue of information misuse; and technological factors, including complexity and vulnerability. The findings show that external attacks and technological factors are the main barriers to adopting information systems, while employee factors have no significant impact on the adoption of information systems in the healthcare industry of Pakistan. The study provides implications for healthcare policy makers, professionals and organziations regarding the successful adoption of health information system.

Perfil dos casos de lesões por esforços repetitivos/distúrbios osteomusculares relacionados ao trabalho notificados na região nordeste do brasil, 2010 a 2019 / Profile of cases of repetitive stress injuries/work-related musculoskeletaldisorders reported in the Northeast Region of Brazil, 2010 to 2019 / Perfil de los casos de lesiones por esfuerzos repetitivos/trastornos musculoesqueléticos relacionadoscon el trabajo notificados en la Región Noreste de Brasil, 2010 a 2019

Introdução:AsLesões por Esforços Repetitivos/Distúrbios Osteomusculares Relacionados ao Trabalho representam um problema de saúde que acomete várias categorias de trabalhadores e apresentam relação com a organização do trabalho, o ambiente do trabalho, condições ambientais e fatores biopsicossociais. Objetivo:descrever os casos notificados de Lesões por Esforços Repetitivos/Distúrbios Osteomusculares Relacionados ao Trabalhona Região Nordeste do Brasil, no período de 2010 a 2019.Metodologia:estudo descritivo, ecológico, de abordagem quantitativa, com dados secundários do Sistema de Informação de Agravos de Notificações. Utilizou-se o software Statistical Package for Social Science versão 20 para a análise estatística descritiva e o software Qgisversão 3.10.7para a análise espacial. Resultados:A amostra foi composta por 14.484 notificações. Evidenciou-se que os estados da Bahia (42,0%) e Pernambuco (21,9%) foram os maiores notificadores. Verificou-se que os municípios de Salvador (15,2%) e Recife (11,5%) tiveram maior ocorrência de casos.Observou-se que a distribuição espacial dos casos deste agravoentre os municípios é desigual e concentrada. Os trabalhadores mais acometidos foram mulheres(59,6%); comfaixa etária dos 21 aos 40 anos (50,8%);comraça/cor preto/pardo (58,3%); e comensino médio completo (42,0%). Houve predomínio daocupação de alimentador de linha de produção (4,8%), trabalho formal(74,6%), sintoma de dor (91,9%)e diagnóstico delesões do ombro (31,7%). A maioria dos trabalhadores relatou afastamento do trabalho para o tratamento(65,3%), limitação e incapacidade para o exercício das tarefas (82,9%), movimentos repetitivos (88,3%) e incapacidadetemporária (66,1%).Conclusões:O Sistema de Informação de Agravos de Notificaçõesrepresenta um importante instrumento para caracterizar a saúde do trabalhador, mas observa-se a necessidade de melhores registros para favorecer a qualidade dos dados. Estudos neste sentido são necessários para subsidiar mais ações de vigilância e prevenção deste agravo (AU).

Introduction: Repetitive Strain Injuries/Work-Related Musculoskeletal Disorders represent a health problem that affects several categories of workers and are related to work organization, work environment, environmental conditions and biopsychosocial factors. Objective: to describe the reported cases of Repetitive Strain Injuries/Work-Related Musculoskeletal Disorders in the Northeast Region of Brazil (2010 ­2019).Methodology: descriptive, cross-sectional study with a quantitative approach, with secondary data from the Information System for Notifications of Diseases. The Statistical Package for Social Sciences software version 20 was used for the descriptive statistical analysis and the Qgis software version 3.10.7 for the spatial analysis. Results:The sample consisted of 14,484 notifications. Brazilian states as Bahia 42,0% and Pernambuco 21.9% registered more notifications. Moreover, municipalitiesas Salvador 15,2% and Recife 11,5% registered more cases. It was observed that the spatial distribution of cases of this condition among municipalities is uneven and concentrated. The most affected workers were women (59.6%); aged between 21 and 40 years (50.8%), with black/brown race/color (58.3%) and with complete secondary education (42.0%). There was a predominance of the occupation of production line feeder (4.8%), formal work (74.6%), pain symptom (91.9%) anddiagnosis of shoulder injuries (31.7%). Most workers reported absence from work for treatment (65.3%), limitation and inability to perform tasks (82.9%), performing repetitive movements (88.3%) and temporary disability (66.1 %). Conclusions: System for Notifications of Diseases represents an important instrument to characterize the health of workers, but there is a need for better records to favor data quality. Studies in this sense are needed to support more surveillance and prevention actions for this condition (AU).

Introducción:Las Lesiones por Esfuerzos Repetitivos/Disturbios Osteomusculares Relacionados al Trabajo representan un problema de salud que atacan a varios trabajadores y están relacionados con:organización del trabajo, ambiente laboral, condiciones ambientales y factores biopsicosociales. Objetivo: describir los casos notificados de Lesiones por Esfuerzos Repetitivos/Disturbios Osteomusculares Relacionados al Trabajo en la Región Noreste de Brasil(2010 ­2019). Metodología: estudio descriptivo, ecológico,de abordaje cuantitativo, con datos secundarios del Sistema de Información de Agravios de Notificaciones. Se utilizó el software Statistical Package for Social Science v.20 para el análisis estadístico descriptivo y el software Qgis v.3.10.7 para el análisis espacial. Resultados: La muestra fue compuesta por 14.484 notificaciones. Los estados con más notificadores fueron Bahía, 42,0% yPernambuco 21.9%. Losmunicipios con más casos fueron Salvador 15,2% y Recife 11,5%.Se observó que la distribución espacial de los casos de este agravio entre los municipios es desigual y concentrada. Los trabajadores que más sufrieron fueron las mujeres(59,6%);rango de edad de 21 a 40 años (50,8%), raza/color negro/mestizo (58,3%) y escolaridad completa (42,0%). Se destacan la ocupación de alimentador de línea de producción (4,8%), trabajo formal (74,6%), síntomas del dolor (91,9%) y diagnóstico de lesiones en el hombro(31,7%). La mayoría de los trabajadores relató licencia médica por tratamiento (65,3%), limitación e incapacidad para el ejercicio de tareas (82,9%), realización de movimientos repetitivos (88,3%) e incapacidad temporal (66,1%). Conclusiones: el Sistema de Información de Agravios de Notificaciones representa un importante instrumento para caracterizar la salud del trabajador, sin embargo, se observa la necesidad de mejores registros para favorecer la calidad de los datos. Son necesarios estudios en este campo para subsidiar más acciones de vigilancia y prevención a esta problemática (AU).

A Data-Driven Paradigm for a Resilient and Sustainable Integrated Health Information Systems for Health Care Applications.

Introduction: Many transformations and uncertainties, such as the fourth industrial revolution and pandemics, have propelled healthcare acceptance and deployment of health information systems (HIS). External and internal determinants aligning with the global course influence their deployments. At the epic is digitalization, which generates endless data that has permeated healthcare. The continuous proliferation of complex and dynamic healthcare data is the digitalization frontier in healthcare that necessitates attention. Objective: This study explores the existing body of information on HIS for healthcare through the data lens to present a data-driven paradigm for healthcare augmentation paramount to attaining a sustainable and resilient HIS. Method: Preferred Reporting Items for Systematic Reviews and Meta-Analyses: PRISMA-compliant in-depth literature review was conducted systematically to synthesize and analyze the literature content to ascertain the value disposition of HIS data in healthcare delivery. Results: This study details the aspects of a data-driven paradigm for robust and sustainable HIS for health care applications. Data source, data action and decisions, data sciences techniques, serialization of data sciences techniques in the HIS, and data insight implementation and application are data-driven features expounded. These are essential data-driven paradigm building blocks that need iteration to succeed. Discussions: Existing literature considers insurgent data in healthcare challenging, disruptive, and potentially revolutionary. This view echoes the current healthcare quandary of good and bad data availability. Thus, data-driven insights are essential for building a resilient and sustainable HIS. People, technology, and tasks dominated prior HIS frameworks, with few data-centric facets. Improving healthcare and the HIS requires identifying and integrating crucial data elements. Conclusion: The paper presented a data-driven paradigm for a resilient and sustainable HIS. The findings show that data-driven track and components are essential to improve healthcare using data analytics insights. It provides an integrated footing for data analytics to support and effectively assist health care delivery.

Acceptability and use of the electronic community health information system and its determinants among health extension workers in Ethiopia: a retrospective cross-sectional observational study.

BACKGROUND: The electronic community health information system has been increasingly developed and deployed to quantify and support quality health service delivery by community health workers in Ethiopia. However, the success and failure of the electronic community health information system depend on the acceptability and use by its users. This study assessed the acceptability and use of the electronic community health information system and its determinants among health extension workers in Ethiopia. METHODS: A retrospective cross-sectional observational study was conducted among 587 randomly selected health extension workers from six regions of Ethiopia. The Revised Technology Acceptance Model was used as a theoretical framework for the study. Descriptive statistics, structural equation modeling, and principal component analysis techniques were used to analyze the data. For all significance tests, multiple comparison adjustments were made using the Bonferroni Correction Method. RESULTS: There was near universal acceptance of the electronic community health information system, ranging from 94.4 to 97.4% among health extension workers. However, actual use of the system was considerably lower, at 50%. Perceived usefulness of the electronic community health information system had a direct and positive effect on acceptability (ß3 = 0.415, p < 0.001). Perceived ease of use had both direct and indirect positive effects on electronic community health information system acceptability (ß2 = 0.340, p < 0.001 and ß1*ß3 = 0.289, p < 0.001, respectively), while acceptability had a direct and positive effect on the use of the electronic community health information system (ß3 = 0.297, p < 0.001). CONCLUSIONS: Despite the very high acceptability of the electronic community health information system among health extension workers, actual use of the system is considerably lower. Hence, an integrated and coordinated approach is required to close the acceptance-use gap.

From electronic health records to clinical management systems: how the digital transformation can support healthcare services.

Healthcare systems worldwide are currently undergoing significant transformations in response to increasing costs, a shortage of healthcare professionals and the growing complexity of medical needs among the population. Value-based healthcare reimbursement systems are emerging as an attempt to incentivize patient-centricity and cost containment. From a technological perspective, the transition to digitalized services is intended to support these transformations. A Health Information System (HIS) is a technological solution designed to govern the data flow generated and consumed by healthcare professionals and administrative staff during the delivery of healthcare services. However, the exponential growth of digital capabilities and applied advanced analytics has expanded their traditional functionalities and brought the promise of automating administrative procedures and simple repetitive tasks, while enhancing the efficiency and outcomes of healthcare services by incorporating decision support tools for clinical management. The future of HIS is headed towards modular architectures that can facilitate implementation and adaptation to different environments and systems, as well as the integration of various tools, such as artificial intelligence (AI) models, in a seamless way. As an example, we present the experience and future developments of the European Clinical Database (EuCliD®). EuCliD is a multilingual HIS used by 20 000 nurses and physicians on a daily basis to manage 105 000 patients treated in 1100 clinics in 43 different countries. EuCliD encompasses patients' follow-up, automatic reporting and mobile applications while enabling efficient management of clinical processes. It is also designed to incorporate multiagent systems to automate repetitive tasks, AI modules and advanced dynamic dashboards.

Integration of migrant and refugee data in health information systems in Europe: advancing evidence, policy and practice.

Coverage of migrant and refugee data is incomplete and of insufficient quality in European health information systems. This is not because we lack the knowledge or technology. Rather, it is due to various political factors at local, national and European levels, which hinder the implementation of existing knowledge and guidelines. This reflects the low political priority given to the topic, and also complex governance challenges associated with migration and displacement. We review recent evidence, guidelines, and policies to propose four approaches that will advance science, policy, and practice. First, we call for strategies that ensure that data is collected, analyzed and disseminated systematically. Second, we propose methods to safeguard privacy while combining data from multiple sources. Third, we set out how to enable survey methods that take account of the groups' diversity. Fourth, we emphasize the need to engage migrants and refugees in decisions about their own health data. Based on these approaches, we propose a change management approach that narrows the gap between knowledge and action to create healthcare policies and practices that are truly inclusive of migrants and refugees. We thereby offer an agenda that will better serve public health needs, including those of migrants and refugees and advance equity in European health systems. Funding: No specific funding received.

A political economy analysis of strengthening health information system in Tanzania.

BACKGROUND: Many countries' health systems are implementing reforms to improve the functioning and performance of the Health Management Information System (HMIS) to facilitate evidence-based decisions for delivery of accessible and quality health services. However, in some countries such efforts and initiatives have led to a complex HMIS ecosystem characterized by multiple and fragmented sub-systems. We undertook an in-depth analysis of the HMIS ecosystem in Tanzania to inform the ongoing initiatives, by understanding the relationship and power differences among stakeholders, as well as drivers and barriers to HMIS investment and strengthening. METHODOLOGY: This was a qualitative research method incorporating data collection through document review and key informant interviews guided by political economy analytical framework. A total of 17 key informant interviews were conducted between April and May 2022. A thematic content analysis was used during data analysis. RESULTS: Good relationship between the government and stakeholders dealing/supporting HMIS ecosystem was noted as there are technical working groups which brings stakeholders together to discuss and harmonize HMIS activities. The 'need for the data' has been the driving force toward investment in the HMIS ecosystem. The analysis showed that the government is the main stakeholder within the HMIS ecosystem and responsible for identifying the needs for improvement and has the power to approve or reject systems which are not in line with the government priority as stipulated with the HMIS investment roadmap/strategy. Moreover, partners with long relationship are powerful in influencing HMIS investment decision-making compared to those who are recently coming to support. It was further noted shortage of staff with technical competence, inadequate financial resources, and the development of fact that some of the existing systems have not been developed to their full capacity and have hindered the whole systems' integration and interoperability exercise of ensuring integration and interoperability of the systems. CONCLUSION: A need-based assessment of staff capacity at the sub-national level is equally important to identify available capabilities and the knowledge gap to strengthen the HMIS ecosystem. Strong coordination of the ideas and resources intended to strengthen the HMIS ecosystem would help to reduce fragmentation. In addition, there is a need to mobilize resources within and outside the country to facilitate the integration and interoperability process smoothly.