Informatics for Health & Social Care最新文献

{"title":"Development and validation of the infodemic scale.","authors":"Ayla Hendekci,Ayşegül Sarıoğlu Kemer","doi":"10.1080/17538157.2024.2398996","DOIUrl":"https://doi.org/10.1080/17538157.2024.2398996","url":null,"abstract":"Infodemic is closely related to all healthcare professionals. Nurses take the lead in health professions that spend a long time with the society and try to present accurate information due to their roles. Infodemic is the massive spread of false or unreliable information in times of crisis. This study aims to develop a valid and reliable tool that identifies individuals' approaches to infodemic. This study was methodological. The sample consisted of 504 people (N = 504). Data were collected using the Information Form and the Infodemic Scale. The sample was divided into two for the explanatory factor analysis (EFA) and the confirmatory factor analysis (CFA). The scale was developed using the scale development process in health and social research, which consists of three steps. The EFA revealed 14 items under two factors, which are awareness and literacy. Item factor loadings were found to range between 0.334 and 0.907. The CFA confirmed the two-factor scale structure. The total Cronbach's alpha of the scale was 0.87, and the composite reliability value was 0.89. The intra-class correlation coefficient (ICC) value was found to be 0.857. According to psychometric evaluations, the Infodemic Scale is a valid and reliable instrument that can make consistent measurements.","PeriodicalId":54984,"journal":{"name":"Informatics for Health & Social Care","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142259804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Personalized medicine meets artificial intelligence: beyond “hype”, towards the metaverse","authors":"Eko Wahyudi, Nur Eko Windianto, Gheri Febri Ananda, Achmad Solaeman, Wisnu Setiawan","doi":"10.1080/17538157.2024.2347230","DOIUrl":"https://doi.org/10.1080/17538157.2024.2347230","url":null,"abstract":"Published in Informatics for Health and Social Care (Ahead of Print, 2024)","PeriodicalId":54984,"journal":{"name":"Informatics for Health & Social Care","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140929503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Technological acceptance and features needed in mobile health apps development for people living with dementia and their caregivers in Indonesia","authors":"Martina Wiwie Setiawan Nasrun, Profitasari Kusumaningrum, Khamelia Malik, Widjajalaksmi Kusumaningsih, Kuntjoro Harimurti, Pukovisa Prawiroharjo, Fithriani Salma Mardhiyah, Richard Holman Matanta, Leonardo Alfonsius Paulus Lalenoh, Saarah Khansa Kiasati","doi":"10.1080/17538157.2024.2328029","DOIUrl":"https://doi.org/10.1080/17538157.2024.2328029","url":null,"abstract":"In Indonesia, the number of People Living with Dementia (PLWD) is predicted to be rising continuously. PLWD need help operating cell phones for their daily needs. Numerous mobile health application...","PeriodicalId":54984,"journal":{"name":"Informatics for Health & Social Care","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140568742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Alzheimer’s in the modern age: Ethical challenges in the use of digital monitoring to identify cognitive changes","authors":"Claire M. Erickson, Anna Wexler, Emily A. Largent","doi":"10.1080/17538157.2023.2294203","DOIUrl":"https://doi.org/10.1080/17538157.2023.2294203","url":null,"abstract":"Pushes toward earlier detection of Alzheimer’s disease (AD)-related cognitive changes are creating interest in leveraging technologies, like cellphones, that are already widespread and well-equippe...","PeriodicalId":54984,"journal":{"name":"Informatics for Health & Social Care","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138819015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating and refining a pain quality information visualization tool with patients and interpreters to facilitate pain assessment in primary care settings.","authors":"Maichou Lor, Nancy B Yang, Uba Backonja, Suzanne Bakken","doi":"10.1080/17538157.2023.2240411","DOIUrl":"10.1080/17538157.2023.2240411","url":null,"abstract":"<p><p>Information visualization (InfoViz) tools offer a potential solution to pain communication challenges. Incongruencies in communication styles between patients with limited English proficiency (LEP), interpreters, and providers contribute to significant disparities in pain care and outcomes. This study's purpose is to evaluate and refine a culturally appropriate InfoViz pain quality assessment tool for LEP Hmong patients. We conducted a three-part iterative user-centered study with LEP Hmong, bilingual Hmong, and Hmong interpreters with (1) participatory design sessions to evaluate and refine pain infographics for inclusion on the tool, (2) card-sorting to organize the infographics to match the mental models of LEP patients, and (3) a tool assessment to identify which tool accurately represented LEP patients' mental models and was preferred in clinical settings. Fifty-five participants provided three common themes for pain infographics refinement: culturally-relevant colors, infographics resembling human anatomy, and action-specific squiggle lines. The card-sorting sessions revealed three organizational themes: sensation (<i>n</i> = 15; 71.4%), localization (<i>n</i> = 6; 28.6%), and severity of pain quality (<i>n</i> = 5; 24.3%). Most participants selected the localization as the most accurate tool and preferred it in clinical settings. Using a multi-step, user-centered approach resulted in a culturally appropriate pain InfoViz tool for LEP Hmong patients.</p>","PeriodicalId":54984,"journal":{"name":"Informatics for Health & Social Care","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10962645/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10038753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Self-care intervention using mobile apps for sexual and reproductive health in the WHO Eastern Mediterranean Region.","authors":"Hayat Sedrati, Abdesselam Bougdira, Nabiha Kamal, Najib Alidrissi, Sofia Sehli, Salsabil Hamdi, Asmae Mazti, Hicham Elfazazi, Rachid Aboutaib, Wajih Rhalem, Nezha Dini, Bouchra Assarrag, Nadia Bezad, Laila Acharai, Hafid Hachri, Redouane Rabie, Saaid Amzazi, Chakib Nejjari, Najeeb Al-Shorbaji, Hassan Ghazal","doi":"10.1080/17538157.2023.2239914","DOIUrl":"10.1080/17538157.2023.2239914","url":null,"abstract":"<p><p>Sexual and reproductive health (SRH) concerns physical, mental, and social well-being as related to sexual and reproductive systems. Self-care, which is the ability to promote health without the support of a health-care provider, can advance SRH, especially for fragile populations. Mobile health (mHealth) solutions can be used to raise awareness about SRH. We performed a structured literature review and analysis of mHealth-based approaches for delivering self-SRH services and interventions in the WHO Eastern Mediterranean Region (EMR). A fuzzy-based framework for assessing those mHealth apps was proposed. We identified 6 out of 737 papers, and 23 (5.7%) out of 400 mHealth apps retrieved from app-stores, describing mHealth use for self SRH with only 10 apps developed in EMR countries, namely Morocco, Pakistan, Egypt, Iran, and Jordan. Our fuzzy-based framework proposes guidelines regarding the implementation of self-care interventions to help project leaders promote their adoption in the SRH systems.</p>","PeriodicalId":54984,"journal":{"name":"Informatics for Health & Social Care","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9964752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A systematic review of data elements of computerized physician order entry (CPOE): mapping the data to FHIR.","authors":"Mahdieh Montazeri, Reza Khajouei, Ali Afraz, Leila Ahmadian","doi":"10.1080/17538157.2023.2255285","DOIUrl":"10.1080/17538157.2023.2255285","url":null,"abstract":"<p><strong>Objective: </strong>Medication errors are the third leading cause of death. There are several methods to prevent prescription errors, one of which is to use a Computerized Physician Order Entry system (CPOE). In a CPOE system, necessary data needs to be collected so that making decisions about prescribing medications and treatment plans could be made. Although many CPOE systems have been developed worldwide, studies have yet to identify the necessary data and data elements of CPOE systems. This study aims to identify data elements of CPOE and standardize these data with Fast Healthcare Interoperability Resources (FHIR) to facilitate data sharing and integration with the electronic health record (EHR) system and reduce data diversity.</p><p><strong>Methods: </strong>PubMed, Web of Science, Embase, and Scopus databases for studies up to October 2019 were searched. Two reviewers independently assessed original articles to determine eligibility for inclusion in this review. All articles describing data elements of a COPE system were included. Data elements were obtained from the included articles' text, tables, and figures.Classification of the extracted data elements and mapping them to FHIR was done to facilitate data sharing and integration with the electronic health record (EHR) system and reduce data diversity. The final data elements of CPOE were categorized into five main categories of FHIR (foundation, base, clinical, financial, and specialized) and 146 resources, where possible. One of the researchers did mapping and checked and verified by the second researcher. If a data element could not be mapped to any FHIR resources, this data element was considered an extension to the most relevant resource.</p><p><strong>Results: </strong>We retrieved 5162 articles through database searches. After the full-text assessment, 21 articles were included. In total, 270 data elements were identified and mapped to the FHIR standard. These elements have been reported in 26 FHIR resources of 146 ones (18%). In total, 71 data elements were considered an extension.</p><p><strong>Conclusions: </strong>The results of this study showed that the same data elements were not used in the CPOE systems, and the degree of homogeneity of these systems is limited. The mapping of extracted data with data elements used in the FHIR standard shows the extent to which these systems comply with existing standards. Considering the standards in these systems' design helps developers design more coherent systems that can share data with other systems.</p>","PeriodicalId":54984,"journal":{"name":"Informatics for Health & Social Care","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10313055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A digital health application for managing pediatric asthma: Use and benefits.","authors":"Kandia Lewis, Cynthia M Zettler-Greeley, Kathryn V Blake, Amy Milkes","doi":"10.1080/17538157.2023.2250435","DOIUrl":"10.1080/17538157.2023.2250435","url":null,"abstract":"<p><p>Childhood asthma is a common and serious chronic lung disease. Mobile health (mHealth) technologies may assist clinical providers, caregivers, and children in managing pediatric asthma. This study evaluated the Nemours app, an mHealth application. We examined: a) frequency of data access by providers and feature use by caregivers (parents/legal guardians) of 5-11-year-old children diagnosed with asthma and b) whether utilization was related to benefits. Nine providers (allergists/pulmonologists) and 80 patient-families (caregiver/child dyads) participated. Two-years of retrospective data were obtained for asthma control, in-person urgent healthcare utilization, and app utilization. Six-months of prospective data included asthma control, in-person urgent healthcare utilization, app utilization, surveys, and health literacy screeners. Providers (56%) accessed app data and caregivers (61%) utilized the app. Caregiver use of messaging feature predicted gains in health literacy scores (<i>b</i> = .44, <i>p</i> = .041), suggesting app use may offer some educational benefits. Implementation of strategies that support app engagement and utilization may help to maximize intended benefits.</p>","PeriodicalId":54984,"journal":{"name":"Informatics for Health & Social Care","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10500275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How I want technology used in my care: Learning from documented choices of people living with dementia using a dyadic decision making tool.","authors":"Natalie R Turner, Clara Berridge","doi":"10.1080/17538157.2023.2252066","DOIUrl":"10.1080/17538157.2023.2252066","url":null,"abstract":"<p><p>While technologies for aging in place are promoted to support care partners and people living with dementia, perspectives of people living with dementia are underrepresented in both use decisions among families and discussions within academia and industry. This mixed-methods study examined the use preferences of twenty-nine people living with mild Alzheimer's disease (AD) for four categories of technologies: location tracking, in-home sensors, web-cameras, and virtual companion robots. Participants completed a novel dyadic intervention, Let's Talk Tech, where they documented their preferences of the four technology categories for care planning purposes. Post-test interviews were thematically analyzed and provide insight into selection processes. Technology preferences varied considerably by and within participant living with mild AD. Excepting location tracking, non-technology and low-technology options were more desirable than the featured technologies. Control over technology use was of great importance to people living with AD. Considerations given to technology preference selection imperfectly fit within the new Health Technology Acceptance Model (H-TAM) developed for older adults. These findings underscore the importance of including people living with dementia in decision making about technologies to support care at home and the need for further personalization and tailorable technological devices to accommodate and align with their preferences.</p>","PeriodicalId":54984,"journal":{"name":"Informatics for Health & Social Care","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10792656/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10161799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Persuasive features for patient engagement through mHealth applications in managing chronic conditions: A systematic literature review and meta-analysis.","authors":"Nawaf Almutairi,&nbsp;Elena Vlahu-Gjorgievska,&nbsp;Khin Than Win","doi":"10.1080/17538157.2023.2165083","DOIUrl":"10.1080/17538157.2023.2165083","url":null,"abstract":"<p><p>Patient engagement is currently considered the cornerstone of a revolution in healthcare for its positive impact on health outcomes, health behaviors and healthcare costs. Patient engagement is focused on personalized care to consumers through providing knowledge, skills and confidence. Mobile health (mHealth) applications are an innovative means to facilitate patient engagement. Nevertheless, the extent to which the current mHealth applications are designed to engage patients in managing their chronic diseases is unclear. This paper aims to identify the Persuasive System Design (PSD) features present in current mHealth applications that increased the engagement of patients with chronic diseases. This review also aims to identify patient engagement-related outcomes of these features. This paper conducted a systematic literature review and meta-analysis to find relevant studies published from all years up to 2020 through six databases: PubMed, Scopus, Web of Science, Cinahl plus with full text, MEDLINE with full text, and Cochrane Library (Central register of controlled trials). The database search returned 4939 articles; after applying the inclusion and exclusion criteria, the number of included articles for the final review was 13. A qualitative content analysis was performed to identify PSD model features and their patient engagement-related outcomes. The quality assessment has been done through the Cochrane Risk of Bias tool for RCTs. The systematic literature review and meta-analysis identified eleven PSD features that can increase patient engagement through using mHealth applications. The identified PSD features have been shown to have various patient engagement-related outcomes. Behavior Change Techniques (BCTs) were combined with the identified PSD features. This paper identified persuasive features of mHealth application design that influence the engagement of patients with chronic diseases toward changing their behavior. The impact of these features is also analyzed in this review. The results show that an mHealth technology-mediated patient engagement model is needed.</p>","PeriodicalId":54984,"journal":{"name":"Informatics for Health & Social Care","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10211972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}