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.

Assessing the impact of COVID-19 on routine immunization in Sierra Leone.

BACKGROUND: The COVID-19 pandemic had a profound impact on healthcare systems and services, including routine immunization (RI). To date, there is limited information on the effects of the COVID-19 pandemic on RI in West African countries such as Sierra Leone, which had already experienced public health emergencies that disrupted its healthcare system. Here, we describe the impact of the COVID-19 pandemic on the RI of key antigens in Sierra Leone. METHODS: We used vaccination data from the District Health Information System for BCG, measles-rubella 1 and 2, and pentavalent 1 and 3 antigens. We compared 2019, 2020, 2021, and 2022 annual coverage rates for the selected antigens at the national and district levels. We used the Pearson chi-square test to assess the difference between annual coverage rates between 2019 and 2020, 2020-2021, and 2021-2022. RESULTS: National coverage rates for all antigens declined in 2019-2020, notably measles-rubella 1 and pentavalent 3 (-5.4% and - 4.9%). Between 2020 and 2021, there was an overall increase in coverage (+ 0.2% to + 2.5%), except for measles-rubella 2 (-1.8%). Measles-rubella antigens rebounded in 2021-2022, while others decreased between - 0.5 and - 1.9% in coverage. Overall, all district-level coverage rates in 2022 were lower than those in 2019. Most districts decreased between 2019 and 2022, though a few had a continuous increase; some had an increase/recovery between 2020 and 2021; some districts had recovered 2019 levels by 2022. CONCLUSION: The COVID-19 pandemic impacted Sierra Leone's national BCG, measles-rubella, and pentavalent antigen immunization, which were not fully restored in 2022. Most districts experienced notable coverage declines during the pandemic, though a few reached or surpassed 2019 rates in 2022. Examining pandemic impact can benefit from a focus beyond the national level to identify vulnerable regions. Sierra Leone's post-pandemic RI reestablishment needs targeted strategies and continual investments for equitable access and coverage, as well as to prevent vaccine-preventable diseases.

Integrating a Community-Based Health Information System with a Patient-Centered Medical Home to improve care of patients with hypertension: a longitudinal observational study protocol.

BACKGROUND: The primary healthcare system in Pakistan focuses on providing episodic, disease-based care. Health care for low-middle income communities is largely through a fee-for-service model that ignores preventive and health-promotive services. The growing burden of cardiovascular illnesses requires restructuring of the primary health care system allowing a community-to-clinic model of care to improve patient- and community-level health indicators. METHODS: We propose a model that integrates a Patient-Centered Medical Home (PCMH) with a Community-Based Health Information System (CBHIS) using hypertension (HTN) as an example. This protocol describes the integration and evaluation of the PCMH-CBHIS infrastructure through a population-based, observational, longitudinal study in a low-middle income, urban community in Pakistan. Participants are being enrolled in CBHIS and will be followed longitudinally over two years for HTN outcomes. A mixed-methods approach is adopted to evaluate the process of integrating PCMH with CBHIS. This involves building partnerships with the community through formal and informal meetings, focus group discussions, and a household health assessment survey (HAS). Community members identified with HTN are linked to PCMH for disease management. A customized electronic medical record system links community-level data with patient-level data to track changes in disease burden. The RE-AIM evaluation framework will be used to monitor community and individual-level metrics to guide implementation assessment, the potential for generalization, and the effectiveness of the PCMH in improving HTN-related health outcomes. Ethical clearance has been obtained from the Ethics Review Committee at Aga Khan University (2022-6723-20985). DISCUSSION: This study will evaluate the value of restructuring the primary care health system by ensuring systematic community engagement and measurement of health indicators at the patient- and community-level. While HTN is being used as a prototype to generate evidence for the effectiveness of this model, findings from this initiative will be leveraged towards strengthening the management of other acute and chronic conditions in primary care settings. If effective, the model can be used in Pakistan and other LMICs and resource-limited settings.

Current status of digital health interventions in the health system in Burkina Faso.

BACKGROUND: Digital health is being used as an accelerator to improve the traditional healthcare system, aiding countries in achieving their sustainable development goals. Burkina Faso aims to harmonize its digital health interventions to guide its digital health strategy for the coming years. The current assessment represents upstream work to steer the development of this strategic plan. METHODS: This was a quantitative, descriptive study conducted between September 2022 and April 2023. It involved a two-part survey: a self-administered questionnaire distributed to healthcare information managers in facilities, and direct interviews conducted with software developers. This was complemented by a documentary review of the country's strategic and standards documents on digital transformation. RESULTS: Burkina Faso possesses a relatively comprehensive collection of governance documents pertaining to digital transformation. The study identified a total of 35 digital health interventions. Analysis showed that 89% of funding originated from technical and financial partners as well as the private sector. While the use of open-source technologies for the development of the applications, software, or platforms used to implement these digital health interventions is well established (77%), there remains a deficiency in the integration of data from different platforms. Furthermore, the classification of digital health interventions revealed an uneven distribution between the different elements across domains: the health system, the classification of digital health interventions (DHI), and the subsystems of the National Health Information System (NHIS). Most digital health intervention projects are still in the pilot phase (66%), with isolated electronic patient record initiatives remaining incomplete. Within the public sector, these records typically take the form of electronic registers or isolated specialty records in a hospital. Within the private sector, tool implementation varies based on expressed needs. Challenges persist in adhering to interoperability norms and standards during tool design, with minimal utilization of the data generated by the implemented tools. CONCLUSION: This study provides an insightful overview of the digital health environment in Burkina Faso and highlights significant challenges regarding intervention strategies. The findings serve as a foundational resource for developing the digital health strategic plan. By addressing the identified shortcomings, this plan will provide a framework for guiding future digital health initiatives effectively.

Benchmarking Sweden's Digitalization Transformation Strategy-Is It a Good Fit for the UAE?

Background: The ongoing revolution in health care, driven by wearable technology, virtual reality, and the Internet of Things, is reshaping both health care operations and our daily lives. This digital transformation ensures broader access to health care options, fosters patient-centered care and affects both health care institutions and individuals. In Sweden, health care is undergoing a digital shift, with initiatives like personal health management, remote monitoring, and virtual care enhancing patient involvement. This article reviews Sweden's health care digital transformation and compares it with the United Arab Emirates (UAE's) initiatives to assess viability. Methods: Using systematic literature review methods, databases from 2011 to 2023 were searched, supplemented by reference lists. Results: Database searches identified 761 records. A total of 480 articles were screened on basis of title and abstract, yielding 184 that were assessed for eligibility, leading to 40 academic studies to be included and 12 grey literature. Conclusions: The findings highlight Sweden's success in empowering patients through enhanced connectivity with clinical teams, knowledge sharing, and care management. However, due to contextual differences, the UAE should not blindly replicate Sweden's strategy. In conclusion, Sweden's efforts have positively engaged patients in health care, but challenges such as emerging technologies, demographic shifts, and budget constraints persist. Proactive planning and adaptation are crucial, with lessons applicable to the UAE market. Establishing a clear regulatory framework for digital care is imperative for future resilience.

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.

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.

Effectiveness of community case management of malaria on severe malaria and inpatient malaria deaths in Zambia: a dose-response study using routine health information system data.

BACKGROUND: Community case management of malaria (CCM) has been expanded in many settings, but there are limited data describing the impact of these services in routine implementation settings or at large scale. Zambia has intensively expanded CCM since 2013, whereby trained volunteer community health workers (CHW) use rapid diagnostic tests and artemether-lumefantrine to diagnose and treat uncomplicated malaria. METHODS: This retrospective, observational study explored associations between changing malaria service point (health facility or CHW) density per 1000 people and severe malaria admissions or malaria inpatient deaths by district and month in a dose-response approach, using existing routine and programmatic data. Negative binomial generalized linear mixed-effect models were used to assess the impact of increasing one additional malaria service point per 1000 population, and of achieving Zambia's interim target of 1 service point per 750 population. Access to insecticide-treated nets, indoor-residual spraying, and rainfall anomaly were included in models to reduce potential confounding. RESULTS: The study captured 310,855 malaria admissions and 7158 inpatient malaria deaths over 83 districts (seven provinces) from January 2015 to May 2020. Total CHWs increased from 43 to 4503 during the study period, while health facilities increased from 1263 to 1765. After accounting for covariates, an increase of one malaria service point per 1000 was associated with a 19% reduction in severe malaria admissions among children under five (incidence rate ratio [IRR] 0.81, 95% confidence interval [CI] 0.75-0.87, p < 0.001) and 23% reduction in malaria deaths among under-fives (IRR 0.77, 95% CI 0.66-0.91). After categorizing the exposure of population per malaria service point, there was evidence for an effect on malaria admissions and inpatient malaria deaths among children under five only when reaching the target of one malaria service point per 750 population. CONCLUSIONS: CCM is an effective strategy for preventing severe malaria and deaths in areas such as Zambia where malaria diagnosis and treatment access remains challenging. These results support the continued investment in CCM scale-up in similar settings, to improve access to malaria diagnosis and treatment.

Quality of reporting and trends of emergency obstetric and neonatal care indicators: an analysis from Tanzania district health information system data between 2016 and 2020.

BACKGROUND: Routine health facility data provides the opportunity to monitor progress in quality and uptake of health care continuously. Our study aimed to assess the reliability and usefulness of emergency obstetric care data including temporal and regional variations over the past five years in Tanzania Mainland. METHODS: Data were compiled from the routine monthly district reports compiled as part of the health management information systems for 2016-2020. Key indicators for maternal and neonatal care coverage, emergency obstetric and neonatal complications, and interventions indicators were computed. Assessment on reliability and consistency of reports was conducted and compared with annual rates and proportions over time, across the 26 regions in of Tanzania Mainland and by institutional delivery coverage. RESULTS: Facility reporting was near complete with 98% in 2018-2020. Estimated population coverage of institutional births increased by 10% points from 71.2% to 2016 to 81.7% in 2020 in Tanzania Mainland, driven by increased use of dispensaries and health centres compared to hospitals. This trend was more pronounced in regions with lower institutional birth rates. The Caesarean section rate remained stable at around 10% of institutional births. Trends in the occurrence of complications such as antepartum haemorrhage, premature rupture of membranes, pre-eclampsia, eclampsia or post-partum bleeding were consistent over time but at low levels (1% of institutional births). Prophylactic uterotonics were provided to nearly all births while curative uterotonics were reported to be used in less than 10% of post-partum bleeding and retained placenta cases. CONCLUSION: Our results show a mixed picture in terms of usefulness of the District Health Information System(DHIS2) data. Key indicators of institutional delivery and Caesarean section rates were plausible and provide useful information on regional disparities and trends. However, obstetric complications and several interventions were underreported thus diminishing the usefulness of these data for monitoring. Further research is needed on why complications and interventions to address them are not documented reliably.

Costing analysis of an information & communications technology-enabled primary healthcare facility in India.

BACKGROUND & OBJECTIVES: Information and communications technology (ICT) has often been endorsed as an effective tool to improve primary healthcare. However, evidence on the cost of ICT-enabled primary health centre (PHC) is lacking. The present study aimed at estimating the costs for customization and implementation of an integrated health information system for primary healthcare at a public sector urban primary healthcare facility in Chandigarh. METHODS: We undertook economic costing of an ICT-enabled PHC based on health system perspective and bottom-up costing. All the resources used for the provision of ICT-enabled PHC, capital and recurrent, were identified, measured and valued. The capital items were annualized over their estimated life using a discount rate of 3 per cent. A sensitivity analysis was undertaken to assess the effect of parameter uncertainties. Finally, we assessed the cost of scaling up ICT-enabled PHC at the state level. RESULTS: The estimated overall annual cost of delivering health services through PHC in the public sector was ₹ 7.88 million. The additional economic cost of ICT was ₹ 1.39 million i.e. 17.7 per cent over and above a non-ICT PHC cost. In a PHC with ICT, the cost per capita increased by ₹ 56. On scaling up to the state level (with 400 PHCs), the economic cost of ICT was estimated to be ₹ 0.47 million per year per PHC, which equates to approximately six per cent expenditure over and above the economic cost of a regular PHC. INTERPRETATION & CONCLUSIONS: Implementing a model of information technology-PHC in a state of India would require an augmentation of cost by about six per cent, which seems fiscally sustainable. However, contextual factors related to the availability of infrastructure, human resources and medical supplies for delivering quality PHC services will also need to be considered.

End-users' perspectives on factors affecting implementation and utilization of the Iranian electronic health record system: a qualitative study in a developing country.

BACKGROUND: As one of the most important information technologies for storing, managing, and exchanging health information, the electronic health record (EHR) plays a major role in the health system. However, these systems in developing countries have been associated with multidimensional issues. The purpose of the present study was the assessment of nonclinical end-users' points of view on the implementation and utilization of the Iranian electronic health record system. METHODS: This was a large qualitative study conducted in 2021 for 7 months from February to August. In this study, data were collected through in-depth semi-structured interviews with 70 non-clinical end-users in 22 public and six private hospitals of West Azerbaijan province in Iran. To analyze the data, the thematic analysis method was used. RESULTS: The study results indicated that technical, human, cultural, managerial, and financial readiness are the most important factors affecting the implementation of EHRs in Iran. Among the mentioned factors, technical and human readiness were emphasized more by the users. Also, technical, organizational, human, and managerial factors were identified as factors influencing EHRs utilization, and technical and organizational factors had a stronger role in the system utilization. CONCLUSIONS: According to the results, several factors influence EHR implementation and adequate utilization in Iran. To achieve the predetermined goals of this system, implementation issues and problems of using the system should be considered and solved.

Artificial Intelligence-Based Ethical Hacking for Health Information Systems: Simulation Study.

BACKGROUND: Health information systems (HISs) are continuously targeted by hackers, who aim to bring down critical health infrastructure. This study was motivated by recent attacks on health care organizations that have resulted in the compromise of sensitive data held in HISs. Existing research on cybersecurity in the health care domain places an imbalanced focus on protecting medical devices and data. There is a lack of a systematic way to investigate how attackers may breach an HIS and access health care records. OBJECTIVE: This study aimed to provide new insights into HIS cybersecurity protection. We propose a systematic, novel, and optimized (artificial intelligence-based) ethical hacking method tailored specifically for HISs, and we compared it with the traditional unoptimized ethical hacking method. This allows researchers and practitioners to identify the points and attack pathways of possible penetration attacks on the HIS more efficiently. METHODS: In this study, we propose a novel methodological approach to ethical hacking in HISs. We implemented ethical hacking using both optimized and unoptimized methods in an experimental setting. Specifically, we set up an HIS simulation environment by implementing the open-source electronic medical record (OpenEMR) system and followed the National Institute of Standards and Technology's ethical hacking framework to launch the attacks. In the experiment, we launched 50 rounds of attacks using both unoptimized and optimized ethical hacking methods. RESULTS: Ethical hacking was successfully conducted using both optimized and unoptimized methods. The results show that the optimized ethical hacking method outperforms the unoptimized method in terms of average time used, the average success rate of exploit, the number of exploits launched, and the number of successful exploits. We were able to identify the successful attack paths and exploits that are related to remote code execution, cross-site request forgery, improper authentication, vulnerability in the Oracle Business Intelligence Publisher, an elevation of privilege vulnerability (in MediaTek), and remote access backdoor (in the web graphical user interface for the Linux Virtual Server). CONCLUSIONS: This research demonstrates systematic ethical hacking against an HIS using optimized and unoptimized methods, together with a set of penetration testing tools to identify exploits and combining them to perform ethical hacking. The findings contribute to the HIS literature, ethical hacking methodology, and mainstream artificial intelligence-based ethical hacking methods because they address some key weaknesses of these research fields. These findings also have great significance for the health care sector, as OpenEMR is widely adopted by health care organizations. Our findings offer novel insights for the protection of HISs and allow researchers to conduct further research in the HIS cybersecurity domain.

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.

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.

The World Animal Health Information System as a tool to support decision-making and research in animal health.

The World Animal Health Information System (WAHIS) collects and publishes a wealth of information gathered by individual countries' Veterinary Services, including detailed country-specific information on outbreaks of diseases listed by the World Organisation for Animal Health (WOAH, founded as OIE), including emerging diseases, in domestic animals and wildlife, and non-listed diseases in wildlife. The data set is one of the most comprehensive in the world, with 182 Members obliged to report this information to WOAH in a timely manner. As such, the data provide invaluable input for Veterinary Services, animal health researchers and stakeholders to gain insight into risk from infectious diseases, for example through the development of predictive models and risk assessments to address the risk from trade of animal products, globalisation, or movement of wildlife or vectors across country borders. This paper reviews previous analyses that have been conducted using WAHIS data and outlines ways in which these data can be used for preparedness and risk assessment.

Le Système mondial d'information zoosanitaire (WAHIS) collecte et publie une grande quantité d'informations recueillies auprès des Services vétérinaires nationaux, parmi lesquelles des données détaillées spécifiques aux pays sur les foyers de maladies listées par l'Organisation mondiale de la santé animale (OMSA, fondée en tant qu'OIE), dont les maladies émergentes, chez les animaux domestiques et dans la faune sauvage, ainsi que de maladies non listées affectant la faune sauvage. Cet ensemble de données est l'un des plus exhaustifs du monde puisque les 182 Membres de l'OMSA ont l'obligation de lui faire remonter ces informations dans WAHIS dans des délais spécifiés. Ces données sont précieuses pour les Services vétérinaires, les chercheurs travaillant dans le domaine de la santé animale et les parties prenantes car elles permettent de mieux comprendre les risques relatifs aux maladies infectieuses, notamment grâce aux modèles prédictifs et aux évaluations de risques pour traiter le risque lié au commerce de produits d'origine animale, à la mondialisation, aux mouvements de la faune sauvage ou aux vecteurs entre les pays. Les auteurs font le point sur des analyses antérieures qui ont été menées en utilisant les données de WAHIS et soulignent comment ces données peuvent être utilisées dans le cadre d'un travail de préparation et d'évaluation des risques.

El Sistema Mundial de Información Zoosanitaria (WAHIS) colecta y publica una gran cantidad de datos recogidos por los Servicios Veterinarios de cada país, en particular detallada información sobre brotes de enfermedades listadas por la Organización Mundial de Sanidad Animal (OMSA, fundada como OIE), incluidas las enfermedades emergentes, que hayan afectado a los animales domésticos o la fauna silvestre, así como enfermedades no listadas que afectan a la fauna silvestre. Se trata de uno de los conjuntos de datos más completos del mundo, ya que los 182 Miembros tienen la obligación de comunicar esta información a la OMSA dentro de plazos determinados. Estos datos son una fuente de información de gran utilidad para los Servicios Veterinarios, los investigadores que trabajan en sanidad animal y demás partes interesadas porque permiten mejorar la comprensión de los riesgos derivados de las enfermedades infecciosas, por ejemplo elaborando modelos predictivos y evaluaciones de riesgo que ayuden a manejar los riesgos ligados al comercio de productos de origen animal, la globalización o al movimiento transfronterizo de animales salvajes o vectores de enfermedad. Los autores repasan una serie de análisis previamente realizados con datos de WAHIS y explican en síntesis cómo pueden utilizarse estos datos con fines de preparación y evaluación de riesgos.

Nursing informatics competence profiles and perceptions of health information system usefulness among registered nurses: A latent profile analysis.

AIMS: To identify different nursing informatics competence (NIC) profiles in nurses, examine the factors associated with profile memberships and examine the associations of the derived profiles with the nurses' perception of the usefulness of a health information system (HIS). DESIGN: A cross-sectional study. METHODS: A sample of 3610 registered nurses responded to a nationwide survey in March 2020. A latent profile analysis was performed to identify NIC profiles based on three competence areas: nursing documentation, working in digital environment, and ethics and data protection. A multinomial logistic regression was carried out to examine the associations of demographic and background variables with the profile membership. Linear regression analyses were carried out to examine the association between the profile membership and perceived HIS usefulness. RESULTS: Three NIC profiles were identified and labelled as low, moderate and high competence groups. A younger age, recent graduation year, sufficient orientation and high-rated proficiency as an HIS user were associated with nurses belonging to a high or moderate competence group relative to a low competence group. Competence group membership was associated with perceived HIS usefulness. The high competence group consistently expressed the highest usefulness of the HIS and the low competence group the lowest. CONCLUSION: Tailored training and support should be provided for nurses with different levels of informatics competence, thereby facilitating their ability to respond to increasingly digitalized work. This could contribute to higher usefulness of the HIS in terms of supporting the nurses' work tasks and promoting the quality of care. IMPACT: This was the first study exploring latent profiles of informatics competence in nurses. Insights from this study are useful for nursing management to identify different competence profiles of their employees, provide support and training to meet their needs, and promote the successful use of an HIS.

Quality of information transferred to palliative care.

AIMS AND OBJECTIVES: To describe the quality of information coming from previous care units to palliative care. BACKGROUND: Information quality is an interconnected concept that includes different dimensions and can be viewed from different perspectives. More knowledge is needed from a multi-professional perspective on the information quality coming to palliative care. DESIGN: Descriptive qualitative study. METHODS: Altogether 33 registered nurses, practical nurses, social workers and physicians working in palliative care were purposively selected to participate in thematic interviews. The research was carried out in six palliative care units in three hospital districts. The data were analysed by using deductive and inductive content analysis. The COREQ checklist was used. RESULTS: Three main categories with thirteen categories were identified in connection with the deductive analysis based on the Clinical Information Quality framework: (1). Informativeness of information coming from previous care units to palliative care included accuracy, completeness, interpretability, plausibility, provenance and relevance. (2). Availability of information coming from previous care units to palliative care included accessibility, portability, security and timeliness. (3). Usability of information coming from previous care units to palliative care included conformance, consistency and maintainability. Each category is divided into sub-categories followed by narratives of their content. CONCLUSIONS: This study provides new knowledge on the quality of information coming to palliative care from a multi-professional perspective. Professionals working in palliative care units highlight issues describing good information quality, but also point out quality issues and areas for improvement. RELEVANCE TO CLINICAL PRACTICE: The results can guide the development of documentation practices and Health Information System development as well as be used in the generation of a new audit instrument of information quality.

Ten years of tracking mental health in refugee primary health care settings: an updated analysis of data from UNHCR's Health Information System (2009-2018).

BACKGROUND: This study examines mental, neurological, and substance use (MNS) service usage within refugee camp primary health care facilities in low- and middle-income countries (LMICs) by analyzing surveillance data from the United Nations High Commissioner for Refugees Health Information System (HIS). Such information is crucial for efforts to strengthen MNS services in primary health care settings for refugees in LMICs. METHODS: Data on 744,036 MNS visits were collected from 175 refugee camps across 24 countries between 2009 and 2018. The HIS documented primary health care visits for seven MNS categories: epilepsy/seizures, alcohol/substance use disorders, mental retardation/intellectual disability, psychotic disorders, severe emotional disorders, medically unexplained somatic complaints, and other psychological complaints. Combined data were stratified by 2-year period, country, sex, and age group. These data were then integrated with camp population data to generate MNS service utilization rates, calculated as MNS visits per 1000 persons per month. RESULTS: MNS service utilization rates remained broadly consistent throughout the 10-year period, with rates across all camps hovering around 2-3 visits per 1000 persons per month. The largest proportion of MNS visits were attributable to epilepsy/seizures (44.4%) and psychotic disorders (21.8%). There were wide variations in MNS service utilization rates and few consistent patterns over time at the country level. Across the 10 years, females had higher MNS service utilization rates than males, and rates were lower among children under five compared to those five and older. CONCLUSIONS: Despite increased efforts to integrate MNS services into refugee primary health care settings over the past 10 years, there does not appear to be an increase in overall service utilization rates for MNS disorders within these settings. Healthcare service utilization rates are particularly low for common mental disorders such as depression, anxiety, post-traumatic stress disorder, and substance use. This may be related to different health-seeking behaviors for these disorders and because psychological services are often offered outside of formal health settings and consequently do not report to the HIS. Sustained and equitable investment to improve identification and holistic management of MNS disorders in refugee settings should remain a priority.

Impact of the COVID-19 pandemic on malaria cases in health facilities in northern Ghana: a retrospective analysis of routine surveillance data.

BACKGROUND: The COVID-19 pandemic and its collateral damage severely impact health systems globally and risk to worsen the malaria situation in endemic countries. Malaria is a leading cause of morbidity and mortality in Ghana. This study aims to describe the potential effects of the COVID-19 pandemic on malaria cases observed in health facilities in the Northern Region of Ghana. METHODS: Monthly routine data from the District Health Information Management System II (DHIMS2) of the Northern Region of Ghana were analysed. Overall outpatient department visits (OPD) and malaria case rates from the years 2015-2019 were compared to the corresponding data of the year 2020. RESULTS: Compared to the corresponding periods of the years 2015-2019, overall visits and malaria cases in paediatric and adult OPDs in northern Ghana decreased in March and April 2020, when major movement and social restrictions were implemented in response to the pandemic. Cases slightly rebounded afterwards in 2020, but stayed below the average of the previous years. Malaria data from inpatient departments showed a similar but more pronounced trend when compared to OPDs. In pregnant women, however, malaria cases in OPDs increased after the first COVID-19 wave. CONCLUSIONS: The findings from this study show that the COVID-19 pandemic affects the malaria burden in health facilities of northern Ghana, with declines in inpatient and outpatient rates except for pregnant women. They may have experienced reduced access to insecticide-treated nets and intermittent preventive malaria treatment in pregnancy, resulting in subsequent higher malaria morbidity. Further data, particularly from community-based studies and ideally complemented by qualitative research, are needed to fully determine the impact of the pandemic on the malaria situation in Africa.

Routine use of DHIS2 data: a scoping review.

BACKGROUND: In regard to health service planning and delivery, the use of information at different levels in the health system is vital, ranging from the influencing of policy to the programming of action to the ensuring of evidence-informed practices. However, neither ownership of, nor access to, good quality data guarantees actual use of these data. For information to be used, relevant data need to be collected, processed and analysed in an accessible format. This problem of underused data, and indeed the absence of data use entirely, is widespread and has been evident for decades. The DHIS2 software platform supports routine health management for an estimated 2.4 billion people, in over 70 countries worldwide. It is by far the largest and most widespread software for this purpose and adopts a holistic, socio-technical approach to development and implementation. Given this approach, and the rapid and extensive scaling of DHIS2, we questioned whether or not there has been a parallel increase in the scaling of improved information use. To date, there has been no rigorous review of the documentation on how exactly DHIS2 data is routinely being used for decision-making and subsequent programming of action. This scoping review addresses this review gap. METHODS: The five-stage approach of Arksey and O'Malley progressed by Levac et al. and Peters was followed. Three databases (PubMed, Web of Science and Embase) were searched, along with relevant conference proceedings and postgraduate theses. In total, over 500 documents were reviewed and data from 19 documents were extracted. RESULTS: Overall, DHIS2 data are being used but there are few detailed descriptions of this usage in peer reviewed or grey literature. We find that, commonly, there exists a centralised versus decentralised pattern of use in terms of access to data and the reporting of data 'up' in the system. We also find that the different conceptualisations of data use and how data use is conceptualised are not made explicit. CONCLUSIONS: We conclude with some suggestions for a way forward, namely: i) the need to document in more detail and share how data are being used, ii) the need to investigate how data were created and who uses such data, iii) the need to design systems based on work practices, and in tandem develop and promote forums in which 'conversations' around data can take place.