Study of Patients' Privacy during the COVID-19 Pandemic in Iranian Health Care Settings.

Background: Patient's privacy protection is a challenging ethical issue. The complex situation of the COVID-19 pandemic was a probable predictor of breaching confidentiality. This study aimed to assess the viewpoints of COVID-19-confirmed patients, who were hospitalized, and their healthcare providers about the compliance of different aspects of patient's privacy. Methods: This cross-sectional study included 3433 COVID-19-confirmed patients who were hospitalized in Kerman, between 2020 and 2021, and about 1228 related physicians, nurses, and paraclinical staff. Two separate validated researcher-made questionnaires were developed, each including subscales for physical, informational, and spatial privacy, as well as a satisfaction rate of privacy protection. The data were analyzed using SPSS software version 26, with independent samples t test, Mann-Whitney-U, Kruskal Wallis, and Multiple Linear Regression tests at a 95% confidence interval. Results: The mean percentages of the patients' privacy scores in physical, spatial, and informational areas were significantly lower (P<0.001) than the average of the medical staff's scores in all three areas (Difference: 10.27%, 14.83%, and 4.91%, respectively). Physical and spatial privacy scores could be predicted based on the participants' classification, patients or medical staff, and sex. The mean patients' satisfaction score was 9.25% lower than the medical staff's (P<0.001). Moreover, only academic hospitals showed a statistically significant difference between the patient's satisfaction with privacy protection and medical staff's viewpoints (P<0.001). Conclusion: Although this study indicated the benefits of protecting patients' privacy in the healthcare setting, patients' privacy scores and satisfaction were lower than their healthcare providers. The pandemic conditions might have been an obstacle to preserving patients' rights. These findings demonstrated the importance of sensitizing healthcare providers to manage these ethical challenges in a complicated critical state such as the COVID-19 pandemic.

Leadership style, change management and job performance of health information management practitioners in tertiary hospitals in South-East, Nigeria.

PURPOSE: Managing patients' health information is one of the building blocks of the health system and the adoption of health information technologies like electronic health records (EHRs) is expected to reduce the various challenges in keeping and accessing quality health-care data that aid decision-making among medical practitioners. This study aims to investigate how leadership styles and change management affected the job performance of health information management practitioners on their adoption of EHRs in tertiary hospitals in Nigeria. DESIGN/METHODOLOGY/APPROACH: The study used primary data collected using a Likert scale questionnaire from 117 health information management officers and health information technicians in selected tertiary hospitals in South-Eastern Nigeria. The data were analysed using bivariate correlation and multiple regression techniques of inferential statistics. FINDINGS: The analyses revealed that transformational leadership style, transactional leadership style and change management had significant positive influence on the job performance of health information management practitioners. However, laissez-faire leadership style did not show any significant positive influence. A further analysis showed that the combined effects of leadership styles and change management were also affirmed to significantly influence the adoption of EHRs for quality health-care delivery in Nigerian tertiary hospitals. ORIGINALITY/VALUE: The study contributes to health information management and the need to understand how leadership styles and change management can influence the adoption of EHRs. However, there is no adequate research that examined the role of leadership style and change management in influencing the job performance of Nigerian HIM practitioners regarding their usage of EHRs in tertiary hospitals in Nigeria.

System interoperability and data linkage in the era of health information management: A bibliometric analysis.

Background: Across the world, health data generation is growing exponentially. The continuous rise of new and diversified technology to obtain and handle health data places health information management and governance under pressure. Lack of data linkage and interoperability between systems undermines best efforts to optimise integrated health information technology solutions. Objective: This research aimed to provide a bibliometric overview of the role of interoperability and linkage in health data management and governance. Method: Data were acquired by entering selected search queries into Google Scholar, PubMed, and Web of Science databases and bibliometric data obtained were then imported to Endnote and checked for duplicates. The refined data were exported to Excel, where several levels of filtration were applied to obtain the final sample. These sample data were analysed using Microsoft Excel (Microsoft Corporation, Washington, USA), WORDSTAT (Provalis Research, Montreal, Canada) and VOSviewer software (Leiden University, Leiden, Netherlands). Results: The literature sample was retrieved from 3799 unique results and consisted of 63 articles, present in 45 different publications, both evaluated by two specific in-house global impact rankings. Through VOSviewer, three main clusters were identified: (i) e-health information stakeholder needs; (ii) e-health information quality assessment; and (iii) e-health information technological governance trends. A residual correlation between interoperability and linkage studies in the sample was also found. Conclusion: Assessing stakeholders' needs is crucial for establishing an efficient and effective health information system. Further and diversified research is needed to assess the integrated placement of interoperability and linkage in health information management and governance. Implications: This research has provided valuable managerial and theoretical contributions to optimise system interoperability and data linkage within health information research and information technology solutions.

Influence of doctor-patient trust on the adoption of mobile medical applications during the epidemic: a UTAUT-based analysis.

This study examines the factors influencing users' intention to continue using mobile medical apps within the framework of the Unified Theory of Acceptance and Use of Technology (UTAUT) model. Through a combination of questionnaire surveys and interviews, the research finds that doctor-patient trust, Performance Expectancy (PE), social influence, and facilitating conditions significantly impact users' intention to utilize mobile medical apps. Furthermore, the study reveals the moderating effect of doctor-patient trust on social influence, indicating an increased trust level during the epidemic, attributed to positive media coverage, complimentary medical services, and risk-sharing initiatives. These results provide valuable insights for the field of internet healthcare, COVID-19 response strategies, health information management, and the advancement of digital health technologies, spotlighting the pivotal roles of trust, PE, and social influence in fostering sustained engagement with mobile health apps.

Factors influencing the use of big data within healthcare services: a systematic review.

Background: The emergence of big data holds the promise of aiding healthcare providers by identifying patterns and converting vast quantities of data into actionable insights facilitating the provision of precision medicine and decision-making. Objective: This study aimed to investigate the factors influencing use of big data within healthcare services to facilitate their use. Method: A systematic review was conducted in February 2024, adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Database searches for articles published between 01 January 2020 and 18 February 2024 and included PubMed, Scopus, ProQuest and Cochrane Library. The Authority, Accuracy, Coverage, Objectivity, Date, Significance ( AACODS) checklist was used to evaluate the quality of the included articles. Subsequently, a thematic analysis was conducted on the findings of the review, using the Boyatzis approach. Results: A final selection of 46 studies were included in this systematic review. A significant proportion of these studies demonstrated acceptable quality, and the level of bias was deemed satisfactory. Thematic analysis identified seven major themes that influenced the use of big data in healthcare services. These themes were grouped into four primary categories: performance expectancy, effort expectancy, social influence, and facilitating conditions. Factors associated with "effort expectancy" were the most highly cited in the included studies (67%), while those related to "social influence" received the fewest citations (15%). Conclusion: This study underscored the critical role of "effort expectancy" factors, particularly those under the theme of "data complexity and management," in the process of using big data in healthcare services. Implications: Results of this study provide groundwork for future research to explore facilitators and barriers to using big data in health care, particularly in relation to data complexity and the efficient and effective management of big data, with significant implications for healthcare administrators and policymakers.

A scoping review of the educator role performed by Health Information Managers in health workplace-based education: The practitioner Health Information Manager-educator.

BACKGROUND: Health Information Managers (HIMs) play a crucial role in the management and governance of health information ensuring the accuracy, confidentiality and accessibility of health data for clinical care and business operational purposes. This role also extends to education and training in the workplace. OBJECTIVE: The aim of this scoping review was to explore and elucidate the role played by HIMs when they undertake a health workplace-based (healthcare organisation or service) educational role and/or functions as evidenced in the existing body of literature. METHOD: A scoping review of the literature to investigated the importance of the educator role for HIM health workplace-based educators. A three-step search strategy was designed to ensure a comprehensive exploration of relevant research. RESULTS: Of 63 articles assess for eligibility, 14 were included in the final analysis. All included articles acknowledged the importance of the HIM-educator workplace-based role. Half of the included articles had been published within the last 7 years. Only 8 of the 14 articles provided some description of HIM-educator attributes, suggesting that these characteristics remain unexplored. DISCUSSION: Findings from this scoping review have shed light on the limitations within the current available literature concerning the attributes of HIM health workplace-based educators. The findings also highlight an important gap in knowledge concerning the qualities of these HIM-educators. CONCLUSION: This identified gap in the literature signals a need for further exploration and investigation into the specific attributes, skills, and characteristics that define effective HIM-educators undertaking a health workplace-based educational role.

Medical record-keeping educational interventions for medical students and residents: a systematic review.

BACKGROUND: Medical records, encompassing patient histories, progress notes, and more, play a crucial role in patient care and treatment, healthcare communication, medico-legal matters, and supporting financial documentation. OBJECTIVE: Despite their significance, literature suggests inconsistencies in record quality and insufficient formal medical record-keeping education for medical students and residents. The study aimed to identify and evaluate the effectiveness of educational interventions by conducting a systematic review. METHOD: A literature search covering 2003-2023 and review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines was undertaken. RESULTS: The literature search identified 44 relevant studies for inclusion. Educational methods, including lectures, feedback, workshops and discussions, addressed different components of the clinical record. The review revealed positive impacts on participant satisfaction, skills and attitudes related to record-keeping. However, some studies reported no significant positive outcomes, emphasising the need for higher-level evidence. Most studies adopted a single-group pretest-posttest design, presenting challenges in control group implementation. The Kirkpatrick evaluation levels were primarily at level 2, with few studies reaching level 3. The absence of studies at level 4 suggested the need for more robust evidence. Studies targeted medical residents more frequently than medical students, with a lack of interventions during the first year of medical education. CONCLUSION: Despite limitations including language bias and methodological variations, the review revealed diverse educational strategies and highlighted the necessity for more randomised controlled trials and studies providing higher-level evidence to enhance clinical record-keeping skills among medical students and residents. IMPLICATIONS: Medical record-keeping educational interventions can significantly improve the documentation skills of medical students and residents, thereby enhancing patient care, communication and medico-legal compliance.

Enhancing the quality of medicine handover at hospital discharge: a priority setting workshop.

BACKGROUND: When a patient is discharged from hospital it is essential that their general practitioner (GPs) and community pharmacist are informed of changes to their medicines. This necessitates effective communication and information-sharing between hospitals and primary care clinicians. OBJECTIVE: To identify priority medicine handover issues and solutions to inform the co-design and development of a multifaceted intervention. METHOD: A modified nominal group technique was used to reach consensus on medicine handover priority areas. The first hour of an interactive 2-hr workshop focused on ranking pre-identified issues drawn from literature. In the second hour, participants identified solutions that they then ranked from highest to lowest priority through an online platform. Descriptive statistics were used to analyse workshop data. RESULTS: In total 32 participants attended the workshop including hospital doctors (n = 8, 25.0%), GPs and hospital pharmacists (n = 6 each, 18.8%), consumers and community pharmacists (n = 4 each, 12.5%), and both hospital and aged care facility nurses (n = 2 each 6.3%). From the list of 23 issues, the highest ranked issue was high workload and time pressures impacting the discharge process (22/32). From the list of 36 solutions, the participants identified two solutions that were equally ranked highest (12/27 each). They were mandating that patients leave hospital with a discharge summary, including medication reconciliation information and, developing an integrated information technology system where medication summary and notes are accessible for primary, secondary and tertiary health provider. CONCLUSION: The consensus process highlighted challenges in hospital procedures where potential solutions may be implemented through co-design of a multifaceted intervention to improve medicine handover quality.

Factors Influencing the Strategic Governance of EHR Interoperability: A Rapid Literature Review.

While the importance of Electronic Health Records (EHR) interoperability is widely recognised in the healthcare digitalisation context, its optimal governance structure remains controversial, requiring further research. Through the rapid literature review of 32 articles retrieved from PubMed and EBSCO, 47 distinct factors under ten categories were established. The three most cited factors in the reviewed 32 articles were "Robust inter-institutional connections, trust, and the technologies to ensure security", "Legal adaptations to the evolving digitalisation needs", and "Standardisation of terminologies and codes, and harmonised data structure". This review contributes preliminary results for the ongoing research to optimise EHR interoperability governance.

Enhancing nursing home quality through electronic health record implementation.

Background: The quality of care in nursing homes (NHs) in the United States has long been a matter of policy concern. Although electronic health records (EHRs) are argued to improve quality, implementation has lagged due to various factors such as financial constraints and limited research on their impact on NH quality. Objective: This study examined the relationship between EHR implementation and NH quality using Donabedian's structure-process-outcome model. Method: Data on EHR implementation were collected via a 2018 survey of all Federally certified Arkansas NHs (n = 223). Of the 63 responding NHs, 48 reported EHR implementation. Survey data were merged with secondary sources such as Certification and Survey Provider Enhanced Reporting. A total of 744 NH-years for the period 2008-2020 were included in the final sample. A pre-post negative binomial panel data regression was used to examine the relationship between EHR implementation (dichotomous variable) and NH deficiencies (dependent count variable) with facility/community-level control variables. Results were reported as incidence rate ratios (IRR). Results: NHs that had implemented EHR experienced an 18% reduction in the rate of deficiencies compared to those without EHR systems (IRR = 0.82, 95% CI [0.70, 0.99], p = 0.035). Conclusion: EHR implementation had a favourable impact on NH quality. Implications: Past research suggests that higher NH quality may be associated with improved financial performance. Therefore, EHR implementation has the potential to address two critical challenges: enhancing care quality and improving financial outcomes. However, government financial incentives may be necessary to address the high-cost of implementing EHR systems.

Researchers' perceptions of the trustworthiness, for reuse purposes, of government health data in Victoria, Australia: Implications for policy and practice.

In 2022 the Australian Data Availability and Transparency Act (DATA) commenced, enabling accredited "data users" to access data from "accredited data service providers." However, the DATA Scheme lacks guidance on "trustworthiness" of the data to be utilised for reuse purposes. Objectives: To determine: (i) Do researchers using government health datasets trust the data? (ii) What factors influence their perceptions of data trustworthiness? and (iii) What are the implications for government and data custodians? Method: Authors of published studies (2008-2020) that utilised Victorian government health datasets were surveyed via a case study approach. Twenty-eight trust constructs (identified via literature review) were grouped into data factors, management properties and provider factors. Results: Fifty experienced health researchers responded. Most (88%) believed that Victorian government health data were trustworthy. When grouped, data factors and management properties were more important than data provider factors in building trust. The most important individual trust constructs were: "compliant with ethical regulation" (100%) and "monitoring privacy and confidentiality" (98%). Constructs of least importance were knowledge of "participant consent" (56%) and "major focus of the data provider was research" (50%). Conclusion: Overall, the researchers trusted government health data, but data factors and data management properties were more important than data provider factors in building trust. Implications: Government should ensure the DATA Scheme incorporates mechanisms to validate those data utilised by accredited data users and data providers have sufficient quality (intrinsic and extrinsic) to meet the requirements of "trustworthiness," and that evidentiary documentation is provided to support these "accredited data."

Predictive analytics for early detection of hospital-acquired complications: An artificial intelligence approach.

BACKGROUND: Hospital-acquired complications (HACs) have an adverse impact on patient recovery by impeding their path to full recovery and increasing healthcare costs. OBJECTIVE: The aim of this study was to create a HAC risk prediction machine learning (ML) framework using hospital administrative data collections within North Metropolitan Health Service (NMHS), Western Australia. METHOD: A retrospective cohort study was performed among 64,315 patients between July 2020 to June 2022 to develop an automated ML framework by inputting HAC and the healthcare site to obtain site-specific predictive algorithms for patients admitted to the hospital in NMHS. Univariate analysis was used for initial feature screening for 270 variables. Of these, 77 variables had significant relationship with any HAC. After excluding non-contemporaneous data, 37 variables were included in developing the ML framework based on logistic regression (LR), decision tree (DT) and random forest (RF) models to predict occurrence of four specific HACs: delirium, aspiration pneumonia, pneumonia and urinary tract infection. RESULTS: All models exhibited similar performance with area under the curve scores around 0.90 for both training and testing datasets. For sensitivity, DT and RF exceeded LR performance while on average, false positives were lowest for LR-based models. Patient's length of stay, Charlson Index, operation length and intensive care unit stay were common predictors. CONCLUSION: Integrating ML-based risk detection systems into clinical workflows can potentially enhance patient safety and optimise resource allocation. LR-based models exhibited best performance. IMPLICATIONS: We have successfully developed a "real-time" risk prediction model, where patient risk scores are calculated and reviewed daily.

Utilization and efficacy of DotPhrases in the electronic medical record for improving physician documentation.

Clinical documentation of patient visits has changed over the last 20 years, with the increasing use of electronic records causing a seismic shift in how notes are taken. Electronic note-taking aims at reducing the time taken to document a visit, and the introduction of dot phrases, or DotPhrases, in electronic medical records is a step toward reducing the time required to update patients' charts, which might allow doctors to spend more time with their patients. DotPhrases, abbreviated phrases used in the electronic medical record, help in the simplification of note-taking and the standardization of notes. They also allow for a more comprehensive note from physicians and ensure that no information is undocumented. On the contrary, however, excessive usage of DotPhrases can lead to an excessively long and cumbersome note. This can overwhelm physicians and lead to them missing crucial information that is buried somewhere in the notes. Although there is ample research studying the benefits of DotPhrases, adequate research must also be carried out to understand their shortcomings and disadvantages. This article aims to shed some light on use of DotPhrases and to outline their advantages and disadvantages affecting patient management and care.

What is infodemiology? An overview and its role in public health. / Czym jest infodemiologia? Przeglad i rola w zdrowiu publicznym.

The exponential increase in internet use and the consequent surge in data generation present both opportunities and challenges for public health. Infodemiology, an emerging field at the intersection of information science and public health, seeks to harness the vast amounts of health-related data generated online for public health benefits. This paper provides a comprehensive overview of infodemiology, examining its development, methodologies, and potential to address public health challenges. We discuss the role of infodemiology in identifying and mitigating the spread of misinformation, especially in the context of the COVID-19 pandemic, which underscored the dangers of the "infodemic" - an overabundance of information, both accurate and not, that complicates public health responses. Through both demand and supply-based studies, infodemiology offers unique insights into health trends, misinformation dynamics, and the digital behaviors of health information seekers. Tools such as sentiment analysis are highlighted as essential in navigating the vast digital landscape for real-time health data analysis. Despite the potential of infodemiology, challenges such as data overload or misinformation. The paper concludes by emphasizing the importance of interdisciplinary collaboration, the development of advanced analytical tools, and the need for guidelines to maximize the field's impact on public health policy and practice.

The Power of Networking.

This paper explores the critical role of networking, particularly within the oncology data specialist community, in developing and implementing an educational course. Networking, both within and beyond academia, is essential for gathering resources, expertise, and support necessary for designing and delivering an effective curriculum tailored to the demands of oncology data analysis. Networking within this specialized community facilitates collaboration with other educators and professionals, sharing of best practices, innovative teaching methodologies, and assessment strategies specific to oncology data analysis. This paper examines how networking within the oncology data specialist community contributed to the creation of a dynamic and comprehensive course, ultimately enriching the educational experience and preparing students for success.

Gerenciamento do protocolo de prevenção de lesão por pressão: construção de painel de bordo informatizado / Management of the pressure injury prevention protocol: construction of a computerized dashboard / Gestión del protocolo de prevención de lesiones por presión: construcción de panel informatizado

Objetivo: Relatar a construção e implantação de painel de bordo, desenvolvido por enfermeiros e profissionais da tecnologia da informação, para gerenciamento do Protocolo de Prevenção de Lesão por Pressão. Métodos: Trata-se de um relato de experiência sobre a construção e implantação de painel de bordo informatizado para gerenciamento de protocolo em um hospital privado universitário, localizado no interior do estado de São Paulo. Resultados: A construção do painel de bordo foi dividida nas seguintes etapas: revisão e atualização do protocolo, construção do modelo eletrônico e implementação. A divulgação foi realizada pela Comissão de Prevenção de Lesão por Pressão. Conclusão: O painel de bordo possibilitou a visualização rápida e em tempo real dos riscos dos pacientes, intervenções propostas e efetividade das medidas de prevenção, além de promover a integração e empoderamento dos profissionais na gestão do cuidado. (AU)

Objective: To report the construction and implementation of a dashboard, developed by nurses and information technology professionals, to manage the Pressure Injury Prevention Protocol. Methods: This is an experience report on the construction and implementation of a computerized dashboard for protocol management in a private university hospital, located in the interior of the state of São Paulo. Results: The construction of the dashboard was divided into the following steps: review and update of the protocol, construction of the electronic model and implementation. The Pressure Injury Prevention Commission disclosed the tool. Conclusion: The dashboard enabled the quick and real-time visualization of patient risks, proposed interventions and effectiveness of prevention measures, in addition to promoting the integration and empowerment of professionals in the management of care. (AU)

Objetivo: Informar la construcción e implementación de un panel, desarrollado por enfermeras y profesionales de tecnologías de la información, para gestionar el Protocolo de Prevención de Lesiones por Presión. Métodos: Se trata de un informe de experiencia sobre la construcción e implementación de un panel computarizado para la gestión del protocolo en un hospital universitario privado, en el interior del estado de São Paulo. Resultados: La construcción del panel se dividió en los siguientes pasos: revisión y actualización del protocolo, construcción del modelo electrónico e implementación. La divulgación fue realizada por la Comisión de Prevención de Lesiones por Presión. Conclusión: El panel permitió la visualización rápida y en tiempo real de los riesgos del paciente, las intervenciones propuestas y la efectividad de las medidas de prevención, además de promover la integración y el empoderamiento de los profesionales en la gestión del cuidado. (AU)

Taipei Medical University Clinical Research Database: a collaborative hospital EHR database aligned with international common data standards.

OBJECTIVE: The objective of this paper is to provide a comprehensive overview of the development and features of the Taipei Medical University Clinical Research Database (TMUCRD), a repository of real-world data (RWD) derived from electronic health records (EHRs) and other sources. METHODS: TMUCRD was developed by integrating EHRs from three affiliated hospitals, including Taipei Medical University Hospital, Wan-Fang Hospital and Shuang-Ho Hospital. The data cover over 15 years and include diverse patient care information. The database was converted to the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) for standardisation. RESULTS: TMUCRD comprises 89 tables (eg, 29 tables for each hospital and 2 linked tables), including demographics, diagnoses, medications, procedures and measurements, among others. It encompasses data from more than 4.15 million patients with various medical records, spanning from the year 2004 to 2021. The dataset offers insights into disease prevalence, medication usage, laboratory tests and patient characteristics. DISCUSSION: TMUCRD stands out due to its unique advantages, including diverse data types, comprehensive patient information, linked mortality and cancer registry data, regular updates and a swift application process. Its compatibility with the OMOP CDM enhances its usability and interoperability. CONCLUSION: TMUCRD serves as a valuable resource for researchers and scholars interested in leveraging RWD for clinical research. Its availability and integration of diverse healthcare data contribute to a collaborative and data-driven approach to advancing medical knowledge and practice.

[Use of social networks as a source of information on health and digital health literacy in the Spanish general population]. / Uso de redes sociales como fuente de información sobre salud y alfabetización digital en salud en población general española.

OBJECTIVE: Social media allows individuals to access a vast amount of health-related information immediately and anonymously, a fact that is turning these platforms into one of the primary sources of reference in this area, especially for younger generations. Given this reality, the objective of determining the impact of social media on digital health literacy in the general Spanish population was proposed. METHODS: A cross-sectional descriptive study was carried out in 2023. Using a non-probabilistic sampling, the population residing in Spain, over eighteen years old, and users of social networks were included, obtaining a sample of 1,307 participants. An adaptation of the validated eHEALS questionnaire on digital health literacy was used. This questionnaire, created in Microsoft Forms, was disseminated through an anonymous link via the research team's social networks and collaborators. A descriptive and inferential statistical analysis was performed using SPSS 22.0, assuming a significance level with a value of p<0.05. RESULTS: All participants affirmed having consumed health information through social networks, but 72.1% stated they had actively used these platforms to search for this health information. Regarding digital health literacy, a median score of 24 out of 40 points was obtained on the questionnaire, being significantly higher among those who claimed to use social networks as a source of health information (p=0.0001). CONCLUSIONS: Actively employing social media as a source of health information is associated with a higher level of digital health literacy.

OBJECTIVE: Las redes sociales permiten a las personas acceder de manera inmediata y anónima a una cantidad ingente de información sobre aspectos de salud, hecho que está provocando que se estén convirtiendo en una de las fuentes de referencia en este ámbito, sobre todo para las generaciones más jóvenes. Atendiendo a esta realidad se planteó el objetivo de determinar el impacto de las redes sociales en la alfabetización digital en salud en la población general española. METHODS: Se realizó un estudio descriptivo transversal en el año 2023. Mediante un muestreo no probabilístico, se incluyó población residente en España, mayor de dieciocho años y usuaria de redes sociales, obteniendo una muestra de 1.307 participantes. Se utilizó una adaptación del cuestionario validado eHEALS sobre alfabetización digital en salud. Dicho cuestionario, elaborado en Microsoft Forms, fue difundido mediante un enlace anónimo a través de las redes sociales del equipo investigador y colaboradores. Se realizó un análisis estadístico descriptivo e inferencial mediante SPSS 22.0, asumiendo un nivel de significación con un valor de p<0,05. RESULTS: La totalidad de los participantes afirmaron haber consumido información sobre salud a través de redes sociales, pero fue el 72,1% el que afirmó haber usado estas plataformas activamente para buscar esta información sobre salud. Con respecto a la alfabetización digital en salud, se obtuvo una puntuación mediana en el cuestionario de 24 sobre 40 puntos, siendo significativamente mayor entre los que afirmaron usar las redes sociales como fuente de información sobre salud (p=0,0001). CONCLUSIONS: Emplear de manera activa las redes sociales como fuente de información sobre salud parece tener relación con un mayor nivel de alfabetización digital en salud.

Deductive Care Methodology: Describing and testing modes of care research.

OBJECTIVE: Define the modes of procedure of the Deductive Care Methodology (DCM) in the generation of knowledge about person's health care. METHODOLOGY: Design and test of the DCM modes based on three phases: mapping of the DCM, generation of models from this methodology and testing of the models through studies in a clinical context. RESULTS: The DCM presents five levels of abstraction with three modes broken down to 16 types. The modes are: Philosophical Mode to conceptualize and obtain generalities about reality, Mathematical Mode to operate with generalities, and Physical Mode to operationally verify, validating the results and the predictive capacity of the model. This MDC allows the creation of three models: Knowledge Model about Person Care, an ontology of care, Vulnerability Model about the person and Taxonomic Triangulation Model for knowledge management. All models generate products for computational knowledge management. In addition, the models are applied in teaching and generate research with more than a hundred participations in conferences and journals, of which five impact publications (from 2008 to 2022) classified in the categories of Nursing and Informatics are analysed. CONCLUSIONS: The DCM collects prior knowledge to work with certainties, evidence and applying inferences that do not depend on the number of cases or inductive designs. This research presents a formal structure of the DCM with an interdisciplinary orientation between Health Sciences and Computer Sciences.