Digital Health Information Research Articles

Participatory development of inclusive health communication on COVID-19 with homeless people

Abstract Background The COVID-19 pandemic demonstrates the important role of providing people with easy to access up-to-date health information in digital formats. People experiencing homelessness have limited access to health information and were hardly ever directly addressed through communication channels in Germany. Lack of digitalization within shelters and social services, as well as technical and socio-economic barriers in purchasing and maintaining a smartphone are further barriers to information. Methods The Charité-COVID-19-project for and with homeless people has created digital health information videos and posters, with an interdisciplinary team and in a participatory approach. Two videos on general information and testing of COVID-19 were launched in 5 languages in February 2021. Vaccination posters in two language versions including 9 languages are available since April 2021. Results We will present the collaboration of research, practice and community, the production process, the distribution and the acceptance of the formats. The web link refers to the videos, posters and further information: https://tropeninstitut.charite.de/forschung/charite_covid_19_projekt_fuer_und_mit_obdachlosen_menschen/ Conclusions Exclusion from (digital) information is an increasingly important part of the structural marginalization of homeless people. This, as well as the inadequate consideration of this population in health communication and the pandemic response have to be addressed. Tackling the digital gap allows improved access to health information for homeless people and promotes health-seeking behaviour. Empowerment of the community through participation and a network between community, service providers, politics and research are also crucial for improvement of homeless people's health in the future. Key messages

Digital health literacy and health behaviors of eighth and ninth graders from Germany

Abstract Background Due to the high availability and use of digital media, health-related information is increasingly shifting into the digital space. While there are increasing empirical findings on general health literacy (HL), there is a lack of evidence on digital HL in adolescence and its association with health behavior. Methods A cross-sectional study of 490 secondary school students (grades eight and nine) from the federal state of Hesse was conducted from October 2019 to February 2020. Digital HL was assessed using five subscales of the Digital Health Literacy Instrument (DHLI), while consumption of fruits, vegetables, soft drinks, and weekly physical activity were used as indicators of health behavior. In addition to gender and grade level, subjective social status (SSS) was used as a social characteristic. Univariate, bivariate, and multivariate analyses were performed, with binary-logistic regression adjusted for gender and SSS. Results Across all items, the percentage of adolescents reporting difficulties in acquiring and dealing with digital health information ranges from 15.3 % to 37.5 %. Stratified by social characteristics, gender and socioeconomic differences were found with girls and respondents reporting a lower SSS more often showing a limited digital HL. Adolescents with moderate and low digital HL report higher levels of low physical activity, non-daily fruit and daily soft drink consumption. Depending on the health behavior, different relationship patterns can be observed for the dimensions of digital HL. Conclusions The findings suggest a need for interventions to promote digital HL among adolescents, particularly for those of low SSS. In this context, the differential relationship patterns with health behaviors provide an avenue for the development of specific interventions.

Separating Features From Functionality in Vaccination Apps: Computational Analysis.

BackgroundSome latest estimates show that approximately 95% of Americans own a smartphone with numerous functions such as SMS text messaging, the ability to take high-resolution pictures, and mobile software apps. Mobile health apps focusing on vaccination and immunization have proliferated in the digital health information technology market. Mobile health apps have the potential to positively affect vaccination coverage. However, their general functionality, user and disease coverage, and exchange of information have not been comprehensively studied or evaluated computationally.ObjectiveThe primary aim of this study is to develop a computational method to explore the descriptive, usability, information exchange, and privacy features of vaccination apps, which can inform vaccination app design. Furthermore, we sought to identify potential limitations and drawbacks in the apps’ design, readability, and information exchange abilities.MethodsA comprehensive codebook was developed to conduct a content analysis on vaccination apps’ descriptive, usability, information exchange, and privacy features. The search and selection process for vaccination-related apps was conducted from March to May 2019. We identified a total of 211 apps across both platforms, with iOS and Android representing 62.1% (131/211) and 37.9% (80/211) of the apps, respectively. Of the 211 apps, 119 (56.4%) were included in the final study analysis, with 42 features evaluated according to the developed codebook. The apps selected were a mix of apps used in the United States and internationally. Principal component analysis was used to reduce the dimensionality of the data. Furthermore, cluster analysis was used with unsupervised machine learning to determine patterns within the data to group the apps based on preselected features.ResultsThe results indicated that readability and information exchange were highly correlated features based on principal component analysis. Of the 119 apps, 53 (44.5%) were iOS apps, 55 (46.2%) were for the Android operating system, and 11 (9.2%) could be found on both platforms. Cluster 1 of the k-means analysis contained 22.7% (27/119) of the apps; these were shown to have the highest percentage of features represented among the selected features.ConclusionsWe conclude that our computational method was able to identify important features of vaccination apps correlating with end user experience and categorize those apps through cluster analysis. Collaborating with clinical health providers and public health officials during design and development can improve the overall functionality of the apps.

Choice-based games and resilience building of gender nonconforming individuals: a phenomenological study

PurposeNarrative-driven, choice-based games, games that allow gamers to make decisions regarding the game characters and storylines, can bring forth emotional changes in their players and offer empathy during scenarios that a player may not experience in real-world situations. Therefore, they can be used as tools to help with gender nonconforming (GNC) individuals’ resilience regarding their gender identities. This study explores GNC peoples’ game-playing experiences with choice-based games, especially how such experiences help them gain resilience and shape their gender identities.Design/methodology/approachThis study follows the classic phenomenological approach to understanding the experience of GNC gamers’ resilience experience from their own perspectives. In-depth interviews were conducted with 12 GNC participants, aged between 18 and 34. Each interview lasted 45–90 minutes. Interviews were transcribed and coded using NVivo R1. The essence of meanings was identified using themes and interpreted through qualitative analysis.FindingsThis paper identified six gender- and resilience-related common themes within GNC people’s gaming experiences, including 1) character creation: exploring gender identity through an avatar; 2) self-exploration and experimentation in games; 3) resonating experiences; 4) positive inclusive features in games; 5) storytelling and involving the player and 6) your actions have meaning.Practical implicationsThe themes, patterns and game features identified in this study may provide insight into potential resilience-building activities for GNC people. They may inform digital mental health interventions, information services and game design practices.Social implicationsEquity, inclusion and social justice have become a significant theme in today’s society. This study focuses on a marginalized community, GNC people and their mental health and resilience building. Results of the study will contribute to the understanding of this community and may inspire more intervention methods to help them cope with stress and difficult situations.Originality/valueResearch on gaming’s health benefits for the general population has been abundant, but studies about using games to help the LGBTQ+ community have been largely overlooked until recent years. Research on casual games’ mental benefits for LGBTQ+ people is particularly lacking. This research is one of the first in-depth, comprehensive investigations of GNC individuals’ resilience experiences with a particular type of casual video games, choice-based games. The phenomenological study offers rich description of gaming and gender identity exploration from gamers’ viewpoints.

Digital health systems-let's talk about sex (and gender).

Historically, within digital health information systems, sex and gender have been conflated as a single concept and often have been limited to a binary answer. This has led to inappropriate care, erosion of client trust and avoidance of the healthcare system. Health leaders can improve care for all clients with technical and clinical information practice initiatives. While procurement processes could require digital health systems that utilize modern Gender, Sex, and Sexual Orientation (GSSO) terminology, for most health leaders, technical initiatives will focus on modernizing existing systems to the maximum extent possible. Terminology updates may not be immediately visible to clients, but providing the correct information to clinicians will support respectful client encounters. Simultaneously, clinical information practice initiatives can directly affect clinical encounters. Change management strategies need to include all levels of employees and redesign tools and workflows to support modernized information handling practices.

Adapted digital health literacy and health information seeking behavior among lower income groups in Malaysia during the COVID-19 pandemic.

BackgroundMisinformation has had a negative impact upon the global COVID-19 vaccination program. High-income and middle-income earners typically have better access to technology and health facilities than those in lower-income groups. This creates a rich-poor divide in Digital Health Literacy (DHL), where low-income earners have low DHL resulting in higher COVID-19 vaccine hesitancy. Therefore, this cross-sectional study was undertaken to assess the impact of health information seeking behavior on digital health literacy related to COVID-19 among low-income earners in Selangor, Malaysia.MethodsA quantitative cross-sectional study was conducted conveniently among 381 individuals from the low-income group in Selangor, Malaysia. The remote data collection (RDC) method was used to gather data. Validated interviewer-rated questionnaires were used to collect data via phone call. Respondents included in the study were 18 years and older. A normality of numerical variables were assessed using Shapiro-Wilk test. Univariate analysis of all variables was performed, and results were presented as means, mean ranks, frequencies, and percentages. Mann-Whitney U test or Kruskal Wallis H test was applied for the comparison of DHL and health information seeking behavior with characteristics of the participants. Multivariate linear regression models were applied using DHL as dependent variable and health information seeking behavior as independent factors, adjusting for age, gender, marital status, educational status, employment status, and household income.ResultsThe mean age of the study participants was 38.16 ± 14.40 years ranging from 18 to 84 years. The vast majority (94.6%) of participants stated that information seeking regarding COVID-19 was easy or very easy. Around 7 percent of the respondents cited reading information about COVID-19 on the internet as very difficult. The higher mean rank of DHL search, content, reliability, relevance, and privacy was found among participants who were widowed, had primary education, or unemployed. An inverse relationship was found between overall DHL and confidence in the accuracy of the information on the internet regarding COVID-19 (β = −2.01, 95% CI = −2.22 to −1.79).ConclusionIt is important to provide support to lower-income demographics to assist access to high-quality health information, including less educated, unemployed, and widowed populations. This can improve overall DHL.

Public Perceptions of Harms and Benefit of COVID-19 Immunity Certificate: A Cross-Sectional Study in the Italian Setting.

A cross-sectional survey between 29 January 2022 and 3 February 2022 was conducted to understand the public rationale for accepting or rejecting the use of COVID-19 immunity certificates and to identify the psychosocial factors that mostly predict the positive/negative individuals’ perceptions of this measure. One thousand twenty-two Italian adults were recruited by a professional panel provider by employing a stratified sampling strategy controlled for gender, age, geographical area of residence, size of the urban centre of residence, employment, and wage. Eight Welch’s ANOVAs were then carried out to compare the perception of benefits and the perception of harms among different population groups. Multiple linear regression was carried out to measure the explained variance of benefits perception and harms perception by age, trust in institutions, and concern for health emergencies. The results shows that age, trust in institution, and concern for the COVID-19 emergency explain more variance of perceived benefits than of perceived harms of COVID-19 immunity certificates but the opposite regarding political orientation which explains perceived harms better than perceived benefits. The need for policy improvements is pressing because a large share of the world’s population remains unvaccinated. Moreover, our results can serve as vital information for similar health crises that may occur in the future. In addition, our results are expected to offer useful insights into public feelings around the use of digital health information tools.

Human-centered integrated care pathways for co-creating a digital, user-centric health information solution

PurposeA broader challenge of co-creating digital solutions with patients addresses the question how to apply an open-access digital platform with trusted digital health information as a measure to transform the way patients access and understand health information. It further addresses use this for adherence to treatment, risk minimization and quality of life throughout the integrated patient journey. The aim of this paper is to demonstrate the early steps in towards progress to co-creating the digital solution.Design/methodology/approachTo coordinate the co-creation process, the authors established a multiphased plan to deep-dive into user needs and behaviors across patient journeys, to identify nuances and highlight important patterns in stakeholder and end-user segment at various stages in the patient's journey.FindingsA set of tools was designed to serve as a human-centered compass throughout the lifecycle of the project. Those tools include shared objects; personas, user journeys, a set of performance indicators with related requirements – all those tools being consistently refined in ongoing co-creation workshops with members of the cross-functional stakeholder groups.Originality/valueIn this study, a multidisciplinary, public-private partnership looked at integrated digital tool to improve access, understanding and adherence to treatment for diverse groups of patients across all stages of their health journeys in a number of countries including European Union (EU) and United States of America (USA). As a result of this work, the authors attempt to increase the possibility that the improved availability and understanding of health information from trusted sources translates to higher levels of adherence to treatment, safer use of medication (pharmacovigilance), better health outcomes and quality of life integrated in the patient's journey.

Understanding Users' Continuance Usage Behavior Towards Digital Health Information System Driven by the Digital Revolution Under COVID-19 Context: An Extended UTAUT Model.

BackgroundImproving the health status of users through the use of digital health information systems has drawn the attention of practitioners and academics under the tide of the digital revolution, specifically in the time of global pandemic of COVID-19, and as a result, online medical consultation has developed rapidly.PurposeEmpirical studies, however, are lacking in terms of gaining insight into use digital health information system driven by the digital revolution under COVID-19 and identifying the factors for retaining users and encouraging their continuing use. To solve this problem, this study seeks to explore the factors that influence users’ intention to use digital health information system.MethodsThis study extended the Unified Theory of Acceptance and Use of Technology (UTAUT) model by introducing components of perceived risks into the model. Structural equation modeling was adopted to evaluate the research model based on an empirical survey of 241 users in China.ResultsAs indicated by the results, users’ continuance usage behavior to digital health information system is shaped by intention to use and facilitating conditions, with effort expectancy, social influence, perceived ease of use and perceived enjoyment exerting indirect positive effects on continuance usage behavior via intention to use. In contrast, perceived risk and perceived cost have indirect negative impact on continuance usage behavior.ConclusionThe findings of this study can not only help the practitioners better understand the users’ continuance usage behavior towards digital health information system driven by digital revolution in the time of COVID-19 pandemic and further tap into the potential market but also make up the short of traditional technology acceptance model explanatory by the extended UTAUT model.

Leveraging Clinical Digitized Data to Understand Temporal Characteristics and Outcomes of Acute Myocardial Infarctions at a Tertiary Care Medical Centre in Pakistan from 1988-2018 - Methods and Results.

Background and Objective:Few data exist on trends in acute myocardial infarction (AMI) patterns spanning recent epidemiological shifts in low middle-income countries (LMICs). To understand temporal disease patterns of AMI characteristics and outcomes between 1988–2018, we used digitized legacy clinical data at a large tertiary care centre in Pakistan.Methods:We reviewed digital health information capture systems maintained across the Aga Khan University Hospital and obtained structured elements to create a master dataset. We included index admissions of patients >18 years that were discharged between January 1, 1988, and December 31, 2018, with a primary discharge diagnosis of AMI (using ICD-9 diagnoses). The outcome evaluated was in-hospital mortality.Clinical characteristics derived from the electronic database were validated against chart review in a random sample of cases (k 0.53–1.00).Results:The final population consisted of 14,601 patients of which 30.6% (n = 4,470) were female, 52.4% (n = 7,651) had ST elevation MI and 47.6% (n = 6,950) had non-ST elevation MI. The median (IQR) age at presentation was 61 (52–70) years. Overall unadjusted in-hospital mortality was 10.3%. Across the time period, increasing trends were noted for the following characteristics: age, proportion of women, prevalence of hypertension, diabetes, proportion with NSTEMI (all ptrend < 0.001). In-hospital mortality rates declined significantly between 1988–1997 and 2008–2018 (13.8% to 9.2%, p < 0.001).Conclusions:The patterns of AMI have changed over the last three decades with a concomitant decline in in-hospital mortality at a tertiary care centre in Pakistan. Clinical digitized data presents a unique opportunity for gaining insights into disease patterns in LMICs.

Understanding Preconception Women's Needs and Preferences for Digital Health Resources: Qualitative Study.

BackgroundImproving preconception health can benefit all women, their children, and their families regardless of their individual pregnancy intentions. Rapidly increasing access to information technology and online engagement have created opportunities to use digital health resources to engage with preconception women regarding lifestyle behaviors.ObjectiveThis study explores how preconception women engage with digital health resources and online platforms to inform the design and development of a digital health resource to support women to make positive behavior change for their preconception health.MethodsThis codesign research followed the Double Diamond process, which focuses on contextualization and explorative processes in phase 1 and ideation and development processes in phase 2. Phase 1 is reported on in this study and was undertaken via a series of 1-on-1 in-depth interviews with female participants (N=12) aged 18-45 years over 3 months. Interviews were designed to explore participants’ lived experiences in relation to their health and desired supports for healthy lifestyle behaviors. The first interview focused on participants’ perceptions of health and health behaviors, the second interview focused on social connections for health, and the third interview focused on digital health information and supports. Conversations from the first interview informed the development of the second interview, and conversations from the second interview informed the development of the third interview. Community advisors (N=8) met to provide feedback and advice to the researchers throughout the interview process. Qualitative analyses of transcripts from interviews were undertaken by 2 researchers before a deductive process identified themes mapped to the capability, opportunity, motivation, and behavior (COM-B) framework.ResultsIn total, 9 themes and 8 subthemes were identified from 124 codes. In relation to digital health resources, specifically, participants were already engaging with a range of digital health resources and had high expectations of these. Digital health resources needed to be easy to access, make women’s busy lives easier, be evidence based, and be reputable. Social connectedness was also highly important to our participants, with information and advice from peers with similar experiences being preferred over yet more online health information. Online communities facilitated these social interactions. Participants were open to the idea of chatbots and virtual assistants but acknowledged that they would not replace authentic social interactions.ConclusionsCodesigned digital health resources should be evidence based, reputable, and easy to access. Social connections were considered highly important to women, and designers of digital health resources should consider how they can increase opportunities for women to connect and learn from each other to promote health behaviors.

A flatter curve affords hospitals greater time to prepare for a pandemic surge

This paper quantifies the benefits of flattening the curve (with a constant total patient load over the study period) on the risk of a hospital bed shortage in a pandemic. Using discrete-event simulation of patient care paths in hospitals, synthetic data that eliminates issues of confounding affects from the simultaneous occurrence of regional response actions and/or changes in resources, treatments or other situational circumstances, is produced for estimating hospital capacity for pandemic response. Results from systematically designed numerical experiments produced several findings. These include that the higher the acceleration in pandemic patient demand growth, the greater the impact of the intervention. Cutting this acceleration by 75% from the greatest studied rate created over four additional weeks to prepare for an 80% risk of running out of intensive care beds. Additionally, the greater the acceleration in growth, the fewer the days with a high risk of running out of beds, but the greater the total number of critical patients that could not be served with existing resources. Finally, the lower this acceleration, the fewer resources or modifications needed to cope with the surge, but the longer they are needed. The findings further show how hospitals can benefit from analytical tools that exploit digital health information to predict and plan for need levels and time to onset of these levels. These tools can be embedded within a real-time framework in which automated and early warnings can inform the selection of strategies for managing or coping with expected increases in demand for emergency hospital services.

The Power of Patient Engagement With Electronic Health Records as Research Participants.

Electronic health record (EHR) technology has become a central digital health tool throughout health care. EHR systems are responsible for a growing number of vital functions for hospitals and providers. More recently, patient-facing EHR tools are allowing patients to interact with their EHR and connect external sources of health data, such as wearable fitness trackers, personal genomics, and outside health services, to it. As patients become more engaged with their EHR, the volume and variety of digital health information will serve an increasingly useful role in health care and health research. Particularly due to the COVID-19 pandemic, the ability for the biomedical research community to pivot to fully remote research, driven largely by EHR data capture and other digital health tools, is an exciting development that can significantly reduce burden on study participants, improve diversity in clinical research, and equip researchers with more robust clinical data. In this viewpoint, we describe how patient engagement with EHR technology is poised to advance the digital clinical trial space, an innovative research model that is uniquely accessible and inclusive for study participants.

Caregiver Expectations of Interfacing With Voice Assistants to Support Complex Home Care: Mixed Methods Study.

BackgroundProviding care in home environments is complex, and often the pressure is on caregivers to document information and ensure care continuity. Digital information management and communication technologies may support care coordination among caregivers. However, they have yet to be adopted in this context, partly because of issues with supporting long-term disease progression and caregiver anxiety. Voice assistant (VA) technology is a promising method for interfacing with digital health information that may aid in multiple aspects of being a caregiver, thereby influencing adoption. Understanding the expectations for VAs to support caregivers is fundamental to inform the practical development of this technology.ObjectiveThis study explored caregivers’ perspectives on using VA technology to support caregiving and inform the design of future digital technologies in complex home care.MethodsThis study was part of a larger study of caregivers across North America on the design of digital health technologies to support health communication and information management in complex home care. Caregivers included parents, guardians, and hired caregivers such as personal support workers and home care nurses. Video interviews were conducted with caregivers to capture their mental models on the potential application of VAs in complex home care and were theoretically analyzed using the technology acceptance model. Interviews were followed up with Likert-scale questions exploring perspectives on other VA applications beyond participants’ initial perceptions.ResultsData were collected from 22 caregivers, and 3 themes were identified: caregivers’ perceived usefulness of VAs in supporting documentation, care coordination, and person-centered care; caregivers’ perceived ease of use in navigating information efficiently (they also had usability concerns with this interaction method); and caregivers’ concerns, excitement, expected costs, and previous experience with VAs that influenced their attitudes toward use. From the Likert-scale questions, most participants (21/22, 95%) agreed that VAs should support prompted information recording and retrieval, and all participants (22/22, 100%) agreed that they should provide reminders. They also agreed that VAs should support them in an emergency (18/22, 82%)—but only for calling emergency services—and guide caregivers through tasks (21/22, 95%). However, participants were less agreeable on VAs expressing a personality (14/22, 64%)—concerned they would manipulate caregivers’ perceptions—and listening ambiently to remind caregivers about their documentation (16/22, 73%). They were much less agreeable about VAs providing unprompted assistance on caregiving tasks (9/22, 41%).ConclusionsThe interviews and Likert-scale results point toward the potential for VAs to support family caregivers and hired caregivers by easing their information management and health communication at home. However, beyond information interaction, the potential impact of VA personality traits on caregivers’ perceptions of the care situation and the passive collection of audio data to improve user experience through context-specific interactions are critical design considerations that should be further examined.

Experiences and expectation with the use of health data: a qualitative interview study in primary care

BackgroundHealth data is important, however, not always well managed. The aim of this study was to investigate the experiences of patients and primary care physicians, their expectations and the obstacles encountered when using health data – both patient-generated as well as physician-generated.MethodsWe conducted a qualitative interview study. We included adult persons who were ready to talk about the topic. Participants were recruited from primary care. The interviews were recorded using a dictaphone, transcribed verbatim and analysed using a content analysis method.ResultsAltogether, we conducted 14 individual interviews, with patients (n = 7) and with physicians (n = 7). We found that both patients and physicians emphasized the importance of easy access to health data in digital health information systems. However, patients may not always understand medical terminology and physicians found that the quality of medical documents needs inspection. Both parties found that patient-generated data is a useful source of information, and that it should be used more often.ConclusionsThe pandemic has highlighted the value of easy access to health data. The development of a health information system is useful to health care providers and patients, enables the transfer of evidence-based medicine, and supports health literacy.

Adolescents’ self-efficacy and digital health literacy: a cross-sectional mixed methods study

BackgroundThe internet and social media are increasingly popular sources of health information for adolescents. Using online health information requires digital health literacy, consisting of literacy, analytical skills and personal capabilities such as self-efficacy. Appraising trustworthiness and relevance of online health information requires critical health literacy to discriminate between sources, critically analyse meaning and relevance, and use information for personal health. Adolescents with poor digital health literacy risk using misinformation, with potential negative health outcomes. We aimed to understand adolescents’ contemporary digital health literacy and compared self-efficacy with capability.MethodsAdolescents (12–17 years) completed an eHEALS self-report digital health literacy measure, a practical search task using a think-aloud protocol and an interview to capture perceived and actual digital health literacy. eHEALS scores were generated using descriptive statistics, search tasks were analysed using an observation checklist and interviews were thematically analysed based on Social Cognitive Theory, focussing on self-efficacy.ResultsTwenty-one participants generally had high self-efficacy using online health information but perceived their digital health literacy to be higher than demonstrated. They accessed online health information unintentionally on social media and intentionally via search engines. They appraised information medium, source and content using general internet searching heuristics taught at school. Information on social media was considered less trustworthy than websites, but participants used similar appraisal strategies for both; some search/appraisal heuristics were insufficiently nuanced for digital health information, sometimes resulting in misplaced trust or diminished self-efficacy. Participants felt anxious or relieved after finding online health information, depending on content, understanding and satisfaction. They did not act on information without parental and/or health professional advice. They rarely discussed findings with health professionals but would welcome discussions and learning how to find and appraise online health information.ConclusionsWhilst adolescents possess many important digital health literacy skills and generally feel self-efficacious in using them, their critical health literacy needs improving. Adolescents desire increased digital health literacy so they can confidently appraise health information they find online and on social media. Co-designed educational interventions with adolescents and health providers are required.

The Gap Between Technology and Ethics, Especially in Low- and Middle-Income Country Health Information Systems: A Bibliometric Study.

Digital health information systems are quickly replacing paper systems worldwide. This study examined scholarly work reflecting how ethical considerations for health information systems (HISs) have evolved over time, with particular interest in the contributions from low- and middle-income country (LMIC) institutions. We systematically searched four research databases for terms related to HISs, ethics, and LMICs; and identified 601 relevant articles published from 1975 through 2019. The included publications were produced by 1,000 authors from more than 700 institutions. However, only 30 publications were co-authored by researchers from both an LMIC and a high-income country (HIC). Most publications pertained to data security. There is an acute need to address a wider array of HIS ethics topics, including those that may be unique to LMIC resource constraints. We recommend more collaborations between LMIC and HIC institutions to address the full range of HIS ethical concerns in LMICs.

Digitale Gesundheitskompetenz von Schülerinnen und Schülern. Ausprägung und Assoziationen mit dem Bewegungs- und Ernährungsverhalten

ZusammenfassungHintergrundWährend vermehrt Studienbefunde zur allgemeinen Gesundheitskompetenz (GK) vorliegen, mangelt es an Erkenntnissen zur digitalen GK im Jugendalter und deren Assoziationen mit Indikatoren des Gesundheitsverhaltens.MethodikEmpirische Basis bildet eine von Oktober 2019 bis Februar 2020 im Bundesland Hessen durchgeführte Querschnittstudie mit 490 Schülerinnen und Schülern der Klassenstufe 8 und 9. Die digitale GK wurde mithilfe von 5 Subskalen des Digital Health Literacy Instrument (DHLI) erfasst, während der Verzehr von Obst, Gemüse und Softdrinks sowie die körperliche Aktivität als Indikatoren des Gesundheitsverhaltens herangezogen wurden. Als soziales Merkmal wurde neben dem Geschlecht und der Klassenstufe der subjektive Sozialstatus (SSS) berücksichtigt. Die Datenauswertung erfolgte uni-, bi- und multivariat, wobei binärlogistische Regressionen für das Geschlecht und den SSS adjustiert wurden.ErgebnisseÜber alle Items hinweg berichten 15,3–37,5 % der befragten Jugendlichen Schwierigkeiten bei der Beschaffung von und im Umgang mit digitalen Informationen. Differenziert nach sozialen Merkmalen finden sich für 2 Dimensionen der digitalen GK Unterschiede zuungunsten der Mädchen sowie durchgehend ein sozialer Gradient zuungunsten von Befragten mit niedrigem SSS. Jugendliche mit mittlerer und geringer digitaler GK weisen ein höheres Maß an geringer körperlicher Aktivität, nichttäglichem Obstverzehr und täglichem Konsum von zuckerhaltigen Getränken auf.DiskussionDie Befunde weisen auf einen Interventionsbedarf zur Förderung der digitalen GK insbesondere bei Jugendlichen mit geringem SSS hin. Die differenziellen Zusammenhangsmuster mit dem Gesundheitsverhalten bieten Ansatzpunkte für die Entwicklung spezifischer Interventionen. Als Lehr- und Lernort stellt die Schule u. a. aufgrund der Passung mit verpflichtenden Strategien der schulischen Medienkompetenzbildung ein geeignetes Setting dar.

HL7 FHIR with SNOMED-CT to Achieve Semantic and Structural Interoperability in Personal Health Data: A Proof-of-Concept Study.

Heterogeneity is a problem in storing and exchanging data in a digital health information system (HIS) following semantic and structural integrity. The existing literature shows different methods to overcome this problem. Fast healthcare interoperable resources (FHIR) as a structural standard may explain other information models, (e.g., personal, physiological, and behavioral data from heterogeneous sources, such as activity sensors, questionnaires, and interviews) with semantic vocabularies, (e.g., Systematized Nomenclature of Medicine—Clinical Terms (SNOMED-CT)) to connect personal health data to an electronic health record (EHR). We design and develop an intuitive health coaching (eCoach) smartphone application to prove the concept. We combine HL7 FHIR and SNOMED-CT vocabularies to exchange personal health data in JavaScript object notion (JSON). This study explores and analyzes our attempt to design and implement a structurally and logically compatible tethered personal health record (PHR) that allows bidirectional communication with an EHR. Our eCoach prototype implements most PHR-S FM functions as an interoperability quality standard. Its end-to-end (E2E) data are protected with a TSD (Services for Sensitive Data) security mechanism. We achieve 0% data loss and 0% unreliable performances during data transfer between PHR and EHR. Furthermore, this experimental study shows the effectiveness of FHIR modular resources toward flexible management of data components in the PHR (eCoach) prototype.

Adolescent Consent and Confidentiality: Complexities in Context of the 21st Century Cures Act.

Adolescent Consent and Confidentiality: Complexities in Context of the 21st Century Cures Act.