Towards digital health equity - a qualitative study of the challenges experienced by vulnerable groups in using digital health services in the COVID-19 era

Exploring the Feasibility of a Cancer Awareness Program for High School Students in a Brazilian School: A Pilot Study

Cancer is a leading cause of mortality globally and is projected to be the primary cause of death in Brazil by 2030. Yet, for high school students, information and understanding about cancer are primarily offered through standard biology lessons. This study aimed to assess the feasibility of a brief educational intervention related to cancer among high school students in a Brazilian private school. Participants attended a 1-h online session regarding different aspects of cancer. A self-reported questionnaire about the main topics addressed in the session was filled out before [pre] and after [post] the educational intervention and the results were compared by McNemar's chi-square test. From 900 parents invited, 44 (4.9%) responded to the invitation and agreed with their children's participation, and 24 students attended the activity. The questionnaire was easy to fill out for the students and allowed us to measure differences after the educational intervention. The high school students considered the most interesting topics cancer myths and protective/risk factors. The project was feasible and showed easy application and better knowledge after the educational intervention. The main challenge is related to the access to parents to authorize their children's participation. Designing interventions that focus on cancer education might be a viable way to increase prevention and early diagnosis with implications for students, their families, and the community.

Barriers and facilitators to bridging the healthcare digital divide for the older adults: A qualitative research from patients in China

AIM

The aim of this study was to explore the barriers and facilitators underlying the healthcare digital divide by using qualitative methodologies, integrated with the Capabilities, Opportunities, Motivations, and Behaviors (COM-B) as well as the Behavior Change Wheel (BCW) theoretical frameworks.

METHODS

To conduct a thorough analysis, semi-structured，in-depth interviews were orchestrated among a cohort of older patients who had experiences with digital healthcare systems. Data were meticulously analyzed via Colaizzi's seven-step methodological procedure.

RESULTS

Nine barriers were elucidated, including physical limitation, inadequate training and support, self-imposed denial, failure to rebuild the digital healthcare environment, equipment constraints, deficits in communication and feedback, skepticism regarding data accuracy and validity, sense of social deprivation, and network information boycott. Conversely, eleven facilitators were identified, encompassing peer modeling, availability of training and support, reconstructive efforts toward the digital healthcare environment, mandatory usage, familial influence, media impact, scientific publicity and education, enhancement of self-efficacy, sense of social participation, perceived convenience, and access to healthful information.

CONCLUSION

Based on the COM-B and BCW models, healthcare organizations may be able to improve their digital healthcare support systems (capabilities), technical design, network speed, and equipment configuration (opportunities), as well as focus on "human-computer integration," the parallel existence of digital technology and humanistic care, and taking into account the issues of information security, accuracy, and human rights equality (motivation) while benefiting the patients, in order to bridge the healthcare digital divide for the older adults.

Health Maintenance Organization-mHealth Versus Face-to-Face Interaction for Health Care in Israel: Cross-Sectional Web-Based Survey Study

BACKGROUND

Health maintenance organization-mobile health (HMO-mHealth) services have a direct impact on patients' daily lives, and HMOs regularly expand their range of mHealth services. HMO-mHealth apps are saving HMOs time and money, as services are becoming more accessible to patients. However, the willingness to use mHealth apps depends on user perception. Although mHealth apps can change the relationship dynamic between HMOs and patients, patients prefer to use them to facilitate face-to-face interactions rather than replace them.

OBJECTIVE

This study aims to examine the extent to which Israeli adults prefer adopting health care services using HMO-mHealth as a replacement for face-to-face interaction.

METHODS

Israeli adults aged ≥18 years completed an electronic questionnaire. Data were collected from December 2020 to February 2021. All services in the main HMO-mHealth apps of the 4 Israeli HMOs were mapped. The 29 health care services used in this study were identical in all 4 HMO-mHealth apps in Israel. The association between sociodemographic characteristics and health condition with preference for HMO-mHealth or face-to-face interaction was analyzed separately for each health service by using a logistic model.

RESULTS

A total of 6321 respondents completed the questionnaire (female: 4296/6321, 68%; male: 2025/6321, 32%). Approximately 80.9% (5115/6321) to 88.2% (5578/6321) of the respondents preferred using HMO-mHealth apps for administrative matters. However, 55.3% (3498/6321), 52.2% (3301/6321), and 46.9% (2969/6321) preferred face-to-face meetings for the initial medical diagnosis, medical treatment, and medical diagnosis results, respectively. Seven main variables were found to be associated with HMO-mHealth adoption, including gender, age, education, marital status, religious affiliation, and subjective health condition. Female respondents were more likely than male respondents to prefer HMO-mHealth apps for administrative matters and face-to-face interaction for personal medical diagnosis and treatment (odds ratio [OR] 0.74, 95% CI 0.67-0.83; P<.001 and OR 0.82, 95% CI 0.74-0.92; P<.001, respectively). Married individuals preferred using HMO-mHealth apps over face-to-face meetings for a new medical diagnosis (OR 1.31, 95% CI 1.15-1.49; P<.001) or treatment (OR 1.34, 95% CI 1.18-1.52; P<.001). Improved health perception was associated with higher preference for HMO-mHealth apps across all health care services in this study (OR 1.11, 95% CI 1.02-1.22; P<.02 to OR 1.38, 95% CI 1.25-1.53; P<.001). No significant association was found between the presence of a chronic disease and the preferred mode of interaction for most services.

CONCLUSIONS

HMO-mHealth is proving to be a robust and efficient tool for health care service delivery. However, there are barriers that affect vulnerable populations when adopting HMO-mHealth. Therefore, it is important to tailor HMO-mHealth apps for older adults, the chronically ill, and minorities in society, as these groups have a greater need for these services. Future studies should focus on identifying the barriers that affect the utilization of HMO-mHealth in these groups.

Leveraging mHealth Technologies for Public Health

Traditional public health surveillance efforts are generally based on self-reported data. Although well validated, these methods may nevertheless be subjected to limitations such as biases, delays, and costs or logistical challenges. An alternative is the use of smart technologies (eg, smartphones and smartwatches) to complement self-report indicators. Having embedded sensors that provide zero-effort, passive, and continuous monitoring of health variables, these devices generate data that could be leveraged for cases in which the data are related to the same self-report metric of interest. However, some challenges must be considered when discussing the use of mobile health technologies for public health to ensure digital health equity, privacy, and best practices. This paper provides, through a review of major Canadian surveys and mobile health studies, an overview of research involving mobile data for public health, including a mapping of variables currently collected by public health surveys that could be complemented with self-report, challenges to technology adoption, and considerations on digital health equity, with a specific focus on the Canadian context. Population characteristics from major smart technology brands-Apple, Fitbit, and Samsung-and demographic barriers to the use of technology are provided. We conclude with public health implications and present our view that public health agencies and researchers should leverage mobile health data while being mindful of the current barriers and limitations to device use and access. In this manner, data ecosystems that leverage personal smart devices for public health can be put in place as appropriate, as we move toward a future in which barriers to technology adoption are decreasing.

Enhancing the efficacy of healthcare information websites: a case for the development of a best practice framework

Online healthcare information has the potential to improve health outcomes via the widespread, cost-effective translation of research evidence into practice by healthcare professionals and use by consumers. However, comparatively little is known about how healthcare professionals and consumers engage with healthcare websites, or whether the knowledge that is made available through digital platforms is translated into better health outcomes. To realise the potential of such resources, we argue that an evidence-based framework-grounded in a nuanced understanding of how audiences engage with and use information provided by healthcare websites-is needed. The goal of this paper is to outline a case for the development of a best-practice framework that can guide the development of websites that provide healthcare information to clinicians and consumers. In addition to supporting the design of more effective online resources, a common framework for understanding how better health outcomes can be achieved via digital knowledge translation has the potential to significantly improve patient outcomes in the face of a complex, rapidly changing and resource-constrained healthcare landscape.

Digital health technologies and inequalities: A scoping review of potential impacts and policy recommendations

Digital health technologies hold promises for reducing health care costs, enhancing access to care, and addressing labor shortages. However, they risk exacerbating inequalities by disproportionately benefitting a subset of the population. Use of digital technologies accelerated during the Covid-19 pandemic. Our scoping review aimed to describe how inequalities related to their use were conceptually assessed during and after the pandemic and understand how digital strategies and policies might support digital equity. We used the PRISMA Extension for scoping reviews, identifying 2055 papers through an initial search of 3 databases in 2021 and complementary search in 2022, of which 41 were retained. Analysis was guided by the eHealth equity framework. Results showed that digital inequalities were reported in the U.S. and other high-income countries and were mainly assessed through differences in access and use according to individual sociodemographic characteristics. Health disparities related to technology use and the interaction between context and technology implementation were more rarely documented. Policy recommendations stressed the adoption of an equity lens in strategy development and multilayered and intersectoral collaboration to align interventions with the needs of specific subgroups. Finally, findings suggested that evaluations of health and wellbeing distribution related to the use of digital technologies should inform digital strategies and health policies.

Capturing Usability Problems for People Living With Dementia by Applying the DEMIGNED Principles in Usability Evaluation Methods: Mixed Methods Study

BACKGROUND

Dementia-related impairments can cause complex barriers to access, use, and adopt digital health technologies (DHTs). These barriers can contribute to digital health inequities. Therefore, literature-based design principles called DEMIGNED have been developed to support the design and evaluation of DHTs for this rapidly increasing population.

OBJECTIVE

This study aims to apply the DEMIGNED principles in usability evaluation methods to (1) capture usability problems on a mobile website providing information resources for people visiting a memory clinic, including those living with subjective cognitive decline (SCD), mild cognitive impairment (MCI), or dementia, and (2) investigate the realness of usability problems captured by the DEMIGNED principles in expert testing, specifically for mobile websites that act as a means of providing DHTs.

METHODS

First, a heuristic evaluation was conducted, with the DEMIGNED principles serving as domain-specific guidelines, with 3 double experts (experienced in both usability and dementia) and 2 usability engineering experts. Second, think-aloud sessions were conducted with patients visiting a memory clinic who were living with SCD, MCI, or dementia.

RESULTS

The heuristic evaluation resulted in 36 unique usability problems. A representative sample of 7 people visiting a memory clinic participated in a think-aloud session, including 4 (57%) with SCD, 1 (14%) with MCI, and 2 (29%) with dementia. The analysis of the think-aloud sessions revealed 181 encounters with usability problems. Of these encounters, 144 (79.6%) could be mapped to 18 usability problems identified in the heuristic evaluation. The remaining 37 (20.4%) encounters from the user testing revealed another 10 unique usability problems. Usability problems frequently described in the think-aloud sessions encompassed difficulties with using the search function, discrepancies between the user's expectations and the content organization, the need for scrolling, information overload, and unclear system feedback.

CONCLUSIONS

By applying the DEMIGNED principles in expert testing, evaluators were able to capture 79.6% (144/181) of all usability problem encounters in the user testing of a mobile website for people visiting a memory clinic, including people living with dementia. Regarding unique usability problems, 50% (18/36) of the unique usability problems identified during the heuristic evaluation were captured by the user-testing sessions. Future research should look into the applicability of the DEMIGNED principles to other digital health functionalities to increase the accessibility of digital health and decrease digital health inequity for this complex and rapidly increasing population.

Non-Fungible Tokens (NFTs) in Healthcare: A Systematic Review

Amid global health challenges, resilient health systems require continuous innovation and progress. Stakeholders highlight the critical role of digital technologies in accelerating this progress. However, the digital health field faces significant challenges, including the sensitivity of health data, the absence of evidence-based standards, data governance issues, and a lack of evidence on the impact of digital health strategies. Overcoming these challenges is crucial to unlocking the full potential of digital health innovations in enhancing healthcare delivery and outcomes. Prioritizing security and privacy is essential in developing digital health solutions that are transparent, accessible, and effective. Non-fungible tokens (NFTs) have gained widespread attention, including in healthcare, offering innovative solutions and addressing challenges through blockchain technology. This paper addresses the gap in systematic-level studies on NFT applications in healthcare, aiming to comprehensively analyze use cases and associated research challenges. The search included primary studies published between 2014 and November 2023, searching in a balanced set of databases compiling articles from different fields. A review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework and strictly focusing on research articles related to NFT applications in the healthcare sector. The electronic search retrieved 1902 articles, ultimately resulting in 15 articles for data extraction. These articles span applications of NFTs in medical devices, pathology exams, diagnosis, pharmaceuticals, and other healthcare domains, highlighting their potential to eliminate centralized trust sources in health informatics. The review emphasizes the adaptability and versatility of NFT-based solutions, indicating their broader applicability across various healthcare stages and expansion into diverse industries. Given their role in addressing challenges associated with enhancing data integrity, availability, non-repudiation, and authentication, NFTs remain a promising avenue for future research within digital health solutions.

Using digital technology to reduce drug-related harms: a targeted service users' perspective of the Digital Lifelines Scotland programme

BACKGROUND

Deaths due to drug overdose are an international issue, causing an estimated 128,000 global deaths in 2019. Scotland has the highest rate of drug-related deaths in Europe, with those in the most deprived areas at greater risk than those in affluent areas. There is a paucity of research on digital solutions, particularly from the perspective of those who use drugs who additionally access harm reduction and homelessness support services. The Digital Lifelines Scotland programme (DLS) provides vulnerable people who use/d drugs with digital devices to connect with services.

METHODS

This paper reports on the evaluation of the DLS from the perspective of service users who accessed services for those at risk of drug-related harms. A mixed methods approach was used including an online-survey (n = 19) and semi-structured interviews (n = 21). Survey data were analysed descriptively and interview data through inductive coding, informed by the Technology, People, Organisations and Macroenvironmental factors (TPOM) framework, to investigate the use, access, and availability of devices, and people's experiences and perceptions of them.

RESULTS

Most participants lived in social/council housing (63.2%, n = 12), many lived alone (68.4%, n = 13). They were mainly over 40 years old and lived in a city. Participants described a desire for data privacy, knowledge, and education, and placed a nascent social and personal value on digital devices. Participants pointed to the person-centred individuality of the service provision as one of the reasons to routinely engage with services. Service users experienced an increased sense of value and there was a palpable sense of community, connection and belonging developed through the programme, including interaction with services and devices.

CONCLUSIONS

This paper presents a unique perspective which documents the experiences of service users on the DLS. Participants illustrated a desire for life improvement and a collective and individual feeling of responsibility towards themselves and digital devices. Digital inclusion has the potential to provide avenues by which service users can safely and constructively access services and society to improve outcomes. This paper provides a foundation to further cultivate the insight of service users on digital solutions in this emerging area.

Recommendations to advance digital health equity: a systematic review of qualitative studies

The World Health Organisation advocates Digital Health Technologies (DHTs) for advancing population health, yet concerns about inequitable outcomes persist. Differences in access and use of DHTs across different demographic groups can contribute to inequities. Academics and policy makers have acknowledged this issue and called for inclusive digital health strategies. This systematic review synthesizes literature on these strategies and assesses facilitators and barriers to their implementation. We searched four large databases for qualitative studies using terms relevant to digital technology, health inequities, and socio-demographic factors associated with digital exclusion summarised by the CLEARS framework (Culture, Limiting conditions, Education, Age, Residence, Socioeconomic status). Following the PRISMA guidelines, 10,401 articles were screened independently by two reviewers, with ten articles meeting our inclusion criteria. Strategies were grouped into either outreach programmes or co-design approaches. Narrative synthesis of these strategies highlighted three key themes: firstly, using user-friendly designs, which included software and website interfaces that were easy to navigate and compatible with existing devices, culturally appropriate content, and engaging features. Secondly, providing supportive infrastructure to users, which included devices, free connectivity, and non-digital options to help access healthcare. Thirdly, providing educational support from family, friends, or professionals to help individuals develop their digital literacy skills to support the use of DHTs. Recommendations for advancing digital health equity include adopting a collaborative working approach to meet users' needs, and using effective advertising to raise awareness of the available support. Further research is needed to assess the feasibility and impact of these recommendations in practice.

A Nordic Perspective on Patient Online Record Access and the European Health Data Space

The Nordic countries are, together with the United States, forerunners in online record access (ORA), which has now become widespread. The importance of accessible and structured health data has also been highlighted by policy makers internationally. To ensure the full realization of ORA's potential in the short and long term, there is a pressing need to study ORA from a cross-disciplinary, clinical, humanistic, and social sciences perspective that looks beyond strictly technical aspects. In this viewpoint paper, we explore the policy changes in the European Health Data Space (EHDS) proposal to advance ORA across the European Union, informed by our research in a Nordic-led project that carries out the first of its kind, large-scale international investigation of patients' ORA-NORDeHEALTH (Nordic eHealth for Patients: Benchmarking and Developing for the Future). We argue that the EHDS proposal will pave the way for patients to access and control third-party access to their electronic health records. In our analysis of the proposal, we have identified five key principles for ORA: (1) the right to access, (2) proxy access, (3) patient input of their own data, (4) error and omission rectification, and (5) access control. ORA implementation today is fragmented throughout Europe, and the EHDS proposal aims to ensure all European citizens have equal online access to their health data. However, we argue that in order to implement the EHDS, we need more research evidence on the key ORA principles we have identified in our analysis. Results from the NORDeHEALTH project provide some of that evidence, but we have also identified important knowledge gaps that still need further exploration.

eHealth Literacy and the Use of NHS 111 Online Urgent Care Service in England: Cross-Sectional Survey

BACKGROUND

Many health care systems have used digital technologies to support care delivery, a trend amplified by the COVID-19 pandemic. "Digital first" may exacerbate health inequalities due to variations in eHealth literacy. The relationship between eHealth literacy and web-based urgent care service use is unknown.

OBJECTIVE

This study aims to measure the association between eHealth literacy and the use of NHS (National Health Service) 111 online urgent care service.

METHODS

A cross-sectional sequential convenience sample survey was conducted with 2754 adults (October 2020-July 2021) from primary, urgent, or emergency care; third sector organizations; and the NHS 111 online website. The survey included the eHealth Literacy Questionnaire (eHLQ), questions about use, preferences for using NHS 111 online, and sociodemographic characteristics.

RESULTS

Across almost all dimensions of the eHLQ, NHS 111 online users had higher mean digital literacy scores than nonusers (P<.001). Four eHLQ dimensions were significant predictors of use, and the most highly significant dimensions were eHLQ1 (using technology to process health information) and eHLQ3 (ability to actively engage with digital services), with odds ratios (ORs) of 1.86 (95% CI 1.46-2.38) and 1.51 (95% CI 1.22-1.88), respectively. Respondents reporting a long-term health condition had lower eHLQ scores. People younger than 25 years (OR 3.24, 95% CI 1.87-5.62) and those with formal qualifications (OR 0.74, 95% CI 0.55-0.99) were more likely to use NHS 111 online. Users and nonusers were likely to use NHS 111 online for a range of symptoms, including chest pain symptoms (n=1743, 70.4%) or for illness in children (n=1117, 79%). The users of NHS 111 online were more likely to have also used other health services, particularly the 111 telephone service (χ12=138.57; P<.001).

CONCLUSIONS

These differences in eHealth literacy scores amplify perennial concerns about digital exclusion and access to care for those impacted by intersecting forms of disadvantage, including long-term illness. Although many appear willing to use NHS 111 online for a range of health scenarios, indicating broad acceptability, not all are able or likely to do this. Despite a policy ambition for NHS 111 online to substitute for other services, it appears to be used alongside other urgent care services and thus may not reduce demand.

Health and illness beliefs in adults with tuberculosis infection during the COVID-19 pandemic in the UK

Background

COVID-19 disrupted the TB prevention programme in the UK, especially for TB infection (TBI) care. We explore whether experience of the COVID-19 pandemic impacted on patients' perceptions of TBI and its treatment.

Methods

Semi-structured interviews were conducted as part of the Research to Improve Detection and Treatment of TBI (RID-TB) programme, exploring perceptual and practical barriers to TBI treatment. Nineteen people diagnosed with TBI were interviewed between August 2020 and April 2021. Recordings were transcribed and analysed using a constant comparative approach, allowing for a dynamic and iterative exploration of themes. Themes are organised using the Perceptions and Practicalities Approach.

Findings

Some participants perceived TBI as a risk factor for increased susceptibility to COVID-19, while some thought that treatment for TBI might protect against COVID-19 or mitigate its effects. Adaptations to TB services (e.g., remote follow-up) and integrated practices during the COVID-19 restrictions (e.g., medication being posted) addressed some practical barriers to TBI treatment. However, we identified beliefs about TBI and COVID-19 that are likely to act as barriers to engagement with TBI treatment, including: interpreting service delays as an indication of TBI not being serious enough for treatment and concerns about contracting COVID-19 in TB clinics.

Interpretation

COVID-19 and TBI service delays influence people's perceptions and practical barriers to TBI treatment adherence. Failure to address these beliefs may lead to people's concerns about their treatment not being fully addressed. Utilised service adaptations like remote consultations to address practical barriers may be relevant beyond COVID-19.

Funding

NIHR RID-TB Program (RP-PG-0217-20009).

Perspectives of community-based organizations on digital health equity interventions: a key informant interview study

BACKGROUND

Health and healthcare are increasingly dependent on internet and digital solutions. Medically underserved communities that experience health disparities are often those who are burdened by digital disparities. While digital equity and digital health equity are national priorities, there is limited evidence about how community-based organizations (CBOs) consider and develop interventions.

METHODS

We conducted key informant interviews in 2022 purposively recruiting from health and welfare organizations engaged in digital equity work. Nineteen individuals from 13 organizations serving rural and/or urban communities from the local to national level participated in semi-structured interviews via Zoom regarding their perspectives on digital health equity interventions. Directed content analysis of verbatim interview transcripts was conducted to identify themes.

RESULTS

Themes emerged at individual, organizational, and societal levels. Individual level themes included potential benefits from digital health equity, internet access challenges, and the need for access to devices and digital literacy. Organizational level themes included leveraging community assets, promising organizational practices and challenges. For the societal level, the shifting complexity of the digital equity ecosystem, policy issues, and data for needs assessment and evaluation were described. Several example case studies describing these themes were provided.

DISCUSSION AND CONCLUSION

Digital health equity interventions are complex, multi-level endeavors. Clear elucidation of the individual, organizational, and societal level factors that may impact digital health equity interventions are necessary to understanding if and how CBOs participate in such initiatives. This study presents unique perspectives directly from CBOs driving programs in this new arena of digital health equity.

Ethical and Equitable Digital Health Research: Ensuring Self-Determination in Data Governance for Racialized Communities

Recent studies highlight the need for ethical and equitable digital health research that protects the rights and interests of racialized communities. We argue for practices in digital health that promote data self-determination for these communities, especially in data collection and management. We suggest that researchers partner with racialized communities to curate data that reflects their wellness understandings and health priorities, and respects their consent over data use for policy and other outcomes. These data governance approach honors and builds on Indigenous Data Sovereignty (IDS) decolonial scholarship by Indigenous and non-indigenous researchers and its adaptations to health research involving racialized communities from former European colonies in the global South. We discuss strategies to practice equity, diversity, inclusion, accessibility and decolonization (EDIAD) principles in digital health. We draw upon and adapt the concept of Precision Health Equity (PHE) to emphasize models of data sharing that are co-defined by racialized communities and researchers, and stress their shared governance and stewardship of data that is generated from digital health research. This paper contributes to an emerging research on equity issues in digital health and reducing health, institutional, and technological disparities. It also promotes the self-determination of racialized peoples through ethical data management.

Patients' evaluation of aftercare following hospitalization for COVID-19: satisfaction and unmet needs

BACKGROUND

Patient experiences with COVID-19 aftercare remain largely unknown. We evaluated COVID-19 aftercare from a patient perspective one year after hospitalization, assessing satisfaction and its associated factors, and unmet needs.

METHODS

The Satisfaction with COVID-19 Aftercare Questionnaire (SCAQ) was developed as part of a multicenter prospective cohort study and administered one year after hospital discharge. The SCAQ assesses (1) patient satisfaction, comprising information provision, rehabilitation, follow-up by hospitals and general practitioners (GPs), the most important aftercare topics, and overall satisfaction, and (2) unmet needs.

RESULTS

487/561 (87%) COVID-19 patients completed the SCAQ, all had been discharged from the hospital between March 2020 and May 2021. Among responders, the median age of patients was 60 (IQR 54-67) years, 338 (69%) were male, and the median length of stay in the hospital was 13 (6-27) days. Patients were least satisfied with information on who could be contacted with questions when health problems arise (59% satisfied or very satisfied). Many patients (75%) received rehabilitation, most frequently community-based (70%). Across the different community-based therapies, ≥ 60% of patients were satisfied with shared-decision making and ≥ 70% with the received therapy; a majority (≥ 79%) indicated a preference for receiving the same therapy again if needed. Regarding follow-up by hospitals, 86% of patients received this follow-up, most frequently visiting a pulmonologist (96%), being generally satisfied with the received aftercare. Aftercare from GPs was received by 39% of patients, with 88% being satisfied with the GP's availability and 79% with referral to appropriate aftercare providers. Patients (> 50%) considered information-related items most important in aftercare. Overall, patients rated their satisfaction with aftercare 8/10 (7-9) points. Those who received medical rehabilitation (versus no rehabilitation, adjusted beta 0.61 [95%CI 0.11 to 1.11], p = 0.02) or aftercare by a hospital medical specialist (1.1 [0.46 to 1.64], p < 0.001) or GP (0.39 [0.053 to 0.72], p = 0.023) reported significantly higher satisfaction than those without such aftercare. Unmet needs were reported by 35% of patients, with lack of information (20%) and lack of additional aftercare and/or involvement of their GP (19%) being the most frequently reported.

CONCLUSION

Despite the forced quick development of COVID-19 aftercare, patients were generally satisfied. Follow-up by healthcare professionals and information provision is important to meet patients' aftercare needs.

Closing the Digital Divide in Interventions for Substance Use Disorder

Digital health interventions are exploding in today's medical practice and have tremendous potential to support the treatment of substance use disorders (SUD). Developers and healthcare providers alike must be cognizant of the potential for digital interventions to exacerbate existing inequities in SUD treatment, particularly as they relate to Social Determinants of Health (SDoH). To explore this evolving area of study, this manuscript will review the existing concepts of the digital divide and digital inequities, and the role SDoH play as drivers of digital inequities. We will then explore how the data used and modeling strategies can create bias in digital health tools for SUD. Finally, we will discuss potential solutions and future directions to bridge these gaps including smartphone ownership, Wi-Fi access, digital literacy, and mitigation of historical, algorithmic, and measurement bias. Thoughtful design of digital interventions is quintessential to reduce the risk of bias, decrease the digital divide, and create equitable health outcomes for individuals with SUD.

New evidence on the real role of digital economy in influencing public health efficiency

In recent years, the rapid advancement of digital technology has supported the growth of the digital economy. The transformation towards digitization in the public health sector serves as a key indicator of this economic shift. Understanding how the digital economy continuously improves the efficiency of public health services and its various pathways of influence has become increasingly important. It is essential to clarify the impact mechanism of the digital economy on public health services to optimize health expenditures and advance digital economic construction. This study investigates the impact of digital economic development on the efficiency of public health services from a novel perspective, considering social media usage and urban-rural healthcare disparities while constructing a comprehensive index of digital economic development. The findings indicate that the digital economy reduces the efficiency of public health services primarily through two transmission mechanisms: the promotion of social media usage and the widening urban-rural healthcare gap. Moreover, these impacts and transmission pathways exhibit spatial heterogeneity. This study unveils the intrinsic connection and mechanisms of interaction between digital economic development and the efficiency of public health services, providing a theoretical basis and reference for government policy formulation. However, it also prompts further considerations on achieving synergy and interaction between the digital economy and public health services.

Testing Two Online Symptom Checkers With Vulnerable Groups: Usability Study to Improve Cognitive Accessibility of eHealth Services

BACKGROUND

The popularity of eHealth services has surged significantly, underscoring the importance of ensuring their usability and accessibility for users with diverse needs, characteristics, and capabilities. These services can pose cognitive demands, especially for individuals who are unwell, fatigued, or experiencing distress. Additionally, numerous potentially vulnerable groups, including older adults, are susceptible to digital exclusion and may encounter cognitive limitations related to perception, attention, memory, and language comprehension. Regrettably, many studies overlook the preferences and needs of user groups likely to encounter challenges associated with these cognitive aspects.

OBJECTIVE

This study primarily aims to gain a deeper understanding of cognitive accessibility in the practical context of eHealth services. Additionally, we aimed to identify the specific challenges that vulnerable groups encounter when using eHealth services and determine key considerations for testing these services with such groups.

METHODS

As a case study of eHealth services, we conducted qualitative usability testing on 2 online symptom checkers used in Finnish public primary care. A total of 13 participants from 3 distinct groups participated in the study: older adults, individuals with mild intellectual disabilities, and nonnative Finnish speakers. The primary research methods used were the thinking-aloud method, questionnaires, and semistructured interviews.

RESULTS

We found that potentially vulnerable groups encountered numerous issues with the tested services, with similar problems observed across all 3 groups. Specifically, clarity and the use of terminology posed significant challenges. The services overwhelmed users with excessive information and choices, while the terminology consisted of numerous complex medical terms that were difficult to understand. When conducting tests with vulnerable groups, it is crucial to carefully plan the sessions to avoid being overly lengthy, as these users often require more time to complete tasks. Additionally, testing with vulnerable groups proved to be quite efficient, with results likely to benefit a wider audience as well.

CONCLUSIONS

Based on the findings of this study, it is evident that older adults, individuals with mild intellectual disability, and nonnative speakers may encounter cognitive challenges when using eHealth services, which can impede or slow down their use and make the services more difficult to navigate. In the worst-case scenario, these challenges may lead to errors in using the services. We recommend expanding the scope of testing to include a broader range of eHealth services with vulnerable groups, incorporating users with diverse characteristics and capabilities who are likely to encounter difficulties in cognitive accessibility.

What is meant by 'integrated personalized diabetes management': A view into the future and what success should look like

Integrated personalized diabetes management (IPDM) has emerged as a promising approach to improving outcomes in patients with diabetes mellitus (DM). This care approach emphasizes the integration and coordination of different providers, including physicians, nurses, dietitians, social workers and pharmacists. The goal of IPDM is to provide patients with personalized care that is tailored to their needs. This review addresses the concept of integrated care and the use of technology (including data, software applications and artificial intelligence) as well as managerial, regulatory and financial aspects. The implementation and upscaling of digitally enabled IPDM are discussed, with elaboration of successful practices and related evidence. Finally, recommendations are made. It is concluded that the adoption of digitally enabled IPDM on a global level is inevitable, considering the challenges created by an increasing prevalence of patients with DM and the need for better outcomes and improvement of health system sustainability.

Barriers and facilitators to the implementation of digital technologies in mental health systems: a qualitative systematic review to inform a policy framework

BACKGROUND

Despite the potential for improved population mental health and wellbeing, the integration of mental health digital interventions has been difficult to achieve. In this qualitative systematic review, we aimed to identify barriers and facilitators to the implementation of digital technologies in mental healthcare systems, and map these to an implementation framework to inform policy development.

METHODS

We searched Medline, Embase, Scopus, PsycInfo, Web of Science, and Google Scholar for primary research articles published between January 2010 and 2022. Studies were considered eligible if they reported barriers and/or facilitators to the integration of any digital mental healthcare technologies. Data were extracted using EPPI-Reviewer Web and analysed thematically via inductive and deductive cycles.

RESULTS

Of 12,525 references identified initially, 81 studies were included in the final analysis. Barriers and facilitators were grouped within an implementation (evidence-practice gap) framework across six domains, organised by four levels of mental healthcare systems. Broadly, implementation was hindered by the perception of digital technologies as impersonal tools that add additional burden of care onto both providers and patients, and change relational power asymmetries; an absence of resources; and regulatory complexities that impede access to universal coverage. Facilitators included person-cantered approaches that consider patients' intersectional features e.g., gender, class, disability, illness severity; evidence-based training for providers; collaboration among colleagues; appropriate investment in human and financial resources; and policy reforms that tackle universal access to digital health.

CONCLUSION

It is important to consider the complex and interrelated nature of barriers across different domains and levels of the mental health system. To facilitate the equitable, sustainable, and long-term digital transition of mental health systems, policymakers should consider a systemic approach to collaboration between public and private sectors to inform evidence-based planning and strengthen mental health systems.

PROTOCOL REGISTRATION

The protocol is registered on PROSPERO, CRD42021276838.

Finnish experts' perceptions of digital healthcare forms in 2035 and the anticipated healthcare workforce impacts: a Delphi study

PURPOSE

To explore Finnish experts' perceptions of the forms of digital healthcare that are anticipated to be the most utilised in healthcare in the medium-term future (year 2035) and anticipated healthcare workforce impacts those forms will have.

DESIGN/METHODOLOGY/APPROACH

A total of 17 experts representing relevant interest groups participated in a biphasic online Delphi study. The results for each round were analysed using descriptive statistical methods and inductive content analysis.

FINDINGS

The forms of digital healthcare that the experts perceived as most likely to be utilised were those enabling patient participation, efficient organisation of services and automated data collection and analysis. The main impacts on the healthcare workforce were seen as being the redirection of workforce needs within the healthcare sector and need for new skills and new professions. The decrease in the need for a healthcare workforce was seen as less likely. The impacts were perceived as being constructed through three means: impacts within healthcare organisations, impacts on healthcare professions and impacts via patients.

RESEARCH LIMITATIONS/IMPLICATIONS

The results are not necessarily transferable to other contexts because the experts anticipated local futures. Patients' views were also excluded from the study.

ORIGINALITY/VALUE

Healthcare organisations function in complex systems where drivers, such as regional demographics, legislation and financial constraints, dictate how digital healthcare is utilised. Anticipating the workforce effects of digital healthcare utilisation has received limited attention; the study adds to this discussion.

Implementation of a Childcare-Based Obesity Prevention Program for Vulnerable Families During the COVID-19 Pandemic: Lessons for School Nurses

COVID-19 brought significant changes to the role of school nurses, necessitating the development of remote health education programs. However, there is a lack of evidence and pedagogical lessons for digitally transforming education for socially vulnerable children. This qualitative study analyzes the health educational needs and barriers faced by children and service providers in a childcare-based obesity prevention program during the pandemic in South Korea. Through a thematic content analysis, four core themes emerged: (a) heightened concerns about obesity and the pandemic's impact on facilities, (b) unexpected positive outcomes of the program, (c) digital readiness gaps, and (d) insufficient program satisfaction (better than nothing). When designing a digital-based health education program for vulnerable children, assessing individual readiness and facility suitability is crucial. Additionally, school nurses should incorporate hybrid pedagogy, integrating technology-mediated activities. By leveraging technology effectively and considering individual and environmental factors, educators can provide comprehensive and accessible health education.

Development, piloting and evaluation of an app-supported psychosocial prevention intervention to strengthen participation in working life: a study protocol of a mixed-methods approach

INTRODUCTION

Rates of incapacity to work due to mental disorders have increased in many European countries. The consequences of persistent stress can impact individuals' physical and psychological well-being and gradually develop into chronic stress. Mental disorders or symptoms of burn-out syndrome can have severe consequences. Mental disorders leading to work incapacity significantly burden the health system. Prevention interventions can protect against burn-out, depression, anxiety and other mental health disorders. Digital health is a promising approach to increase the utilisation of effective prevention interventions. This mixed-methods study evaluates a newly developed app-supported psychosocial prevention intervention called 'RV Fit Mental Health' to strengthen participation in working life.

METHODS AND ANALYSIS

The study uses a three-stage parallel mixed-methods design. This study accompanies the development (stage 1), piloting (stage 2) and evaluation (stage 3) of the new intervention. Within the stages, there is a quantitative as well as a qualitative research strand. Employed persons with an incipient mental disorder will be included. Additionally, experts within the project or connected areas will be included. Quantitative data will be analysed using multifactorial variance analyses in a pre-post design. Qualitative data will be analysed using qualitative content analysis. The study is a comprehensive research approach to investigate the development, piloting and evaluation of an app-supported psychosocial app-based prevention intervention. The rigour of the study will be achieved through data triangulation.

ETHICS AND DISSEMINATION

All participants will receive detailed study information and give written informed consent before data collection. Ethical approval was obtained from the Technical University of Munich Ethics Committee. All data collection will follow all legislative rules regarding data protection, also following the Declaration of Helsinki. The study results will be disseminated in peer-reviewed journals and presented at international conferences.

TRIAL REGISTRATION NUMBERS

DRKS00030818 and DRKS00033080.

Telemedicine, e-Health, and Digital Health Equity: A Scoping Review

Background

With the progressive digitization of people's lives and in the specific healthcare context, the issue of equity in the healthcare domain has extended to digital environments or e-environments, assuming the connotation of "Digital Health Equity" (DHE). Telemedicine and e-Health, which represent the two main e-environments in the healthcare context, have shown great potential in the promotion of health outcomes, but there can be unintended consequences related to the risk of inequalities. In this paper, we aimed to review papers that have investigated the topic of Digital Health Equity in Telemedicine and e-Health [definition(s), advantages, barriers and risk factors, interventions].

Methods

We conducted a scoping review according to the methodological framework proposed in PRISMA-ScR guidelines on the relationship between Digital Health Equity and Telemedicine and e-Health via Scopus and Pubmed electronic databases. The following inclusion criteria were established: papers on the relationship between Digital Health Equity and Telemedicine and/or e-Health, written in English, and having no time limits. All study designs were eligible, including those that have utilized qualitative and quantitative methods, methodology, or guidelines reports, except for meta-reviews.

Results

Regarding Digital Health Equity in Telemedicine and e-Health, even if there is no unique definition, there is a general agreement on the idea that it is a complex and multidimensional phenomenon. When promoting Digital Health Equity, some people may incur some risk/s of inequities and/or they may meet some obstacles. Regarding intervention, some authors have proposed a specific field/level of intervention, while other authors have discussed multidimensional interventions based on interdependence among the different levels and the mutually reinforcing effects between all of them.

Conclusion

In summary, the present paper has discussed Digital Health Equity in Telemedicine and e-Health. Promoting equity of access to healthcare is a significant challenge in contemporary times and in the near future. While on the one hand, the construct "equity" applied to the health context highlights the importance of creating and sustaining the conditions to allow anyone to be able to reach (and develop) their "health potential", it also raises numerous questions on "how this can happen". An overall and integrated picture of all the variables that promote DHE is needed, taking into account the interdependence among the different levels and the mutually reinforcing effects between all of them.

Exploring the experiences and preferences of South Asian patients' of primary care in England since COVID-19

INTRODUCTION

Remote (digital and/or telephone) access and consultation models are being driven by national policy with the goal being that the National Health Service operate on a remote-first (digital-first) basis by 2029. Previous research has suggested that remote methods of access to care and consulting may act to widen health inequalities for certain patients and/or groups such as those from ethnic minorities. South Asian (SA) patients comprise the largest ethnic minority group in England. Understanding the experiences and needs of this group is critical to ensuring that general practice can deliver equitable, quality health care.

METHODS

Qualitative study. 37 participants (from Indian, Pakistani and/or Bangladeshi background) were recruited to take part in either in-person preferred language focus groups or remote semistructured interviews in the English language. Thematic analysis was conducted to identify themes in the qualitative data.

FINDINGS

Three major interlinked themes were identified: (1) reduced access, (2) reduced patient choice and (3) quality and safety concerns. The findings highlight access issues split by (i) general issues with appointment access via any remote means and (ii) specific issues related to language barriers creating additional barriers to access and care. Some patients valued the convenience of remote access but also raised concerns regarding appointment availability and reduced patient choice. Face-to-face consultations were preferable but less available. The findings underscore how participants perceived remote care to be of lesser quality and less safe. Concerns were greatest for those with limited English proficiency (LEP), with the removal of non-verbal aspects of communication and 'hands-on' care leading to perceptions of reduced psycho-social safety.

CONCLUSION

SA patients' experiences of remote-led primary care access and care delivery were negative with only a minority viewing it positively and for certain limited scenarios. Face-to-face models of care remain the preferred mode of consultation, particularly for those with LEP. Hybrid models of access offer patients the greatest choice, and are likely to meet the varying needs of the South-Asian patient population going forwards. The remote first approach to primary care may be achievable as a service ideal, but its limitations need to be recognised and accounted for to ensure that primary care can be an equitable service, both now and in the future.

PUBLIC CONTRIBUTION

Members of the public were involved in all phases of research in the study. This included co-working in partnership throughout the study including, reviewing patient-facing documents, recruiting participants, data facilitation, translation work, interpretation of the data and co-authors on this manuscript. The key to the success of our study was collaborative teamwork, which involved experienced members of the public with SA cultural knowledge working together with and integral to the research team for all components.

"Systems seem to get in the way": a qualitative study exploring experiences of accessing and receiving support among informal caregivers of people living with chronic kidney disease

BACKGROUND

The well-being of informal caregivers of people living with chronic kidney disease is influenced by their experiences with support, however, few studies have focused on exploring these experiences. This study aimed to explore informal caregivers' experiences accessing and receiving support while caring for someone living with chronic kidney disease.

METHODS

Informal caregivers of people living with chronic kidney disease (n = 13) in the United Kingdom were primarily recruited via community organisations and social media adverts to participate in semi-structured interviews. Interviews explored support needs, experiences of receiving support from different groups (e.g. healthcare professionals, family/friends), and barriers and facilitators to accessing support. Support was understood as including emotional, practical, and informational support. Data were analysed using reflexive thematic analysis.

RESULTS

Three themes were generated: (1) "Systems seem to get in the way" - challenges within support systems, illustrating the challenges informal caregivers encountered when navigating complex support systems; (2) Relying on yourself, describing how informal caregivers leveraged their existing skills and networks to access support independently, while recognising the limitations of having to rely on yourself to find support; and (3) Support systems can "take the pressure off", showing how support systems were able to help informal caregivers cope with the challenges they experienced if certain conditions were met.

CONCLUSIONS

In response to the challenges informal caregivers experienced when seeking support, improvements are needed to better consider informal caregiver needs within healthcare systems, and to develop interventions tailored to informal caregiver needs and context. Within the healthcare system, informal caregivers may benefit from system navigation support and better integration within healthcare teams to ensure their informational support needs are met. New interventions developed to support informal caregivers should fit within their existing support systems and incorporate the qualities of support, such as empathy, that were valued. Additionally, use of an equity framework and user-centered design approaches during intervention development could help ensure interventions are accessible and acceptable.

Opportunities for healthcare digitalization in Europe: Comparative analysis of inequalities in access to medical services

Digitalization of healthcare systems is a great opportunity to address inequalities in access to healthcare in the European Union. There is an urgent need to build on what we learned from the COVID-19 pandemic, where digital health technologies were integrated swiftly to limit challenges in healthcare delivery. We created a database for the 27 European Union countries from the European Health Interview Survey (EHIS), the Digital Economy and Society Index (DESI), and other Eurostat databases. We performed k-means cluster analysis to group EU countries along two dimensions: inequalities in access to medical services and level of digitalization. We identified five distinct clusters: two clusters with high, two clusters with moderate, and one cluster with low unmet need for healthcare. Regarding digitalization, only one cluster comprising the Nordic countries, Spain and Cyprus exhibit high digital readiness. A cluster comprising the most developed countries in Western Europe represents moderate levels of both unmet need for healthcare and digitalization. For most EU countries, there is still a need to build digital infrastructure for the healthcare industry, which in the long term may increase the number of digital solutions used by both patients and healthcare professionals. Policy makers across the EU need to consider investing in initiatives that would support digital health solutions as an effective means of healthcare provision and healthcare management.

Digital determinants of health as a way to address multilevel complex causal model in the promotion of Digital health equity and the prevention of digital health inequities: A scoping review

Background

With the progressive digitization of health services and the current spread of Telemedicine and e-Health, it became clear that promoting Digital health equity (DHE) is necessary to support health potential, to avoid that some individuals can incur in unintended inequities. In this paper, we address the complex causal process(es) that may generate risk of inequities, considering the so-called "Digital Determinants of health" (DDoH) and their relationship with determinants of health (DoH).

Design and methods

We conducted a scoping review, according to methodological framework proposed in PRISMA-ScR guidelines, on the definition of DDoH (Scopus, Pubmed and Web of Science electronic databases). Inclusion criteria: papers on the definition of DDoH, no time limits, all study designs eligible.

Results

There is an agreement on the link between DDoHs and "digital divide" and on their effects on a wide range of health, functioning outcomes, both as barriers and as facilitators. Authors proposed to modify or integrate with DDoHs the "Rainbow model" or other conceptual models on DoH. To promote DHE, authors suggest considering a multidimensional complex causal model, with interdependence among the different levels and the mutually reinforcing effects.

Conclusion

To study DDoH and their relationship with main determinants of health could be a way to address the complex causal model in the promotion of DHE. However, as they act in a multidimensional causal context, any intervention may consider the interdependence among different involved levels, within them, and the mutually reinforcing effects. Further research is needed to gain a more complete picture of the field.

Digital health literacy: A concept analysis

Objective

To elucidate the concept of digital health literacy by delineating its primary dimensions, origins and effects. Through this clarification, we seek to augment our understanding of the contemporary use of the concept of digital health literacy.

Methods

Rodgers's concept analysis was employed to investigate digital health literacy as a context-influenced concept evolving with technological progress. Six databases (PubMed, Embase, CINAHL, RISS, KISS and DBpia) and Google Scholar were searched from 2006 to 2023, focusing on the terms 'digital health literacy', 'eHealth literacy' and 'mHealth literacy'. Of 2,819 papers, 32 were included in the analysis to identify the conceptual structure of digital health literacy.

Results

The conceptual structure of digital health literacy was identified, and its evolution was traced. Currently, the four critical attributes are (a) goal-driven regulation, (b) information processing, (c) communication and (d) utilisation. Functional literacy, prior health knowledge and experience, and access to technology are antecedents, while positive health outcomes, increased perceived control and enhanced health-related quality of life emerged as consequences. Additionally, the concept was influenced by multilevel contextual factors.

Conclusions

By enhancing our understanding of digital health literacy; standardising its terminology; and exploring the interactions among its antecedents, consequences and influencing factors, this study aims to reduce health disparities and promote equitable health in the digital era. The results of this foundational work, which establishes a basis for future research and policy development, provide clear pathways for developing targeted interventions and measurement tools of digital health literacy, ultimately contributing to better health practices.

Affordance trajectories and the usefulness of online records access among older adults in Sweden

Objective

The current understanding of the breadth of individual differences in how eHealth technologies are perceived as useful for different purposes is incomprehensive. The aim/purpose of the study is to improve the understanding of diverse perceptions of the usefulness of technologies by exploring older adults' use of their patient-accessible electronic health records (PAEHRs).

Methods

The study applies and extends Affordance Theory based on an empirical analysis of data from the NORDeHEALTH 2022 Patient Survey on attitudes toward PAEHR in Norway, Sweden, Finland, and Estonia. Responses from 3964 participants in Sweden, aged 65 + years were analysed. Data included demographics and agreement ratings to reasons for using PAEHR. To analyse variation in the reasons for using PAEHR, group comparisons were conducted based on gender (male/female), age group (65-74, 75-84 and 85+) and earlier encouragement to use PAEHR.

Results

Overall, the findings suggest that PAEHRs have multiple parallel affordance trajectories and affordance potencies that actualise differently depending on needs. The top reasons, pointing to both orientational and goal-oriented affordances for using PAEHR, were improving understanding of health issues, getting an overview of medical history/treatment and ensuring understanding of what the doctor said. Men reported more often sharing information with relatives or friends as a reason to access PAEHR. Women were more inclined, albeit similarly to men less frequently, to read their PAEHR for detecting errors. Age had little influence on reasons for using PAEHR.

Conclusions

The study applies and extends Affordance Theory in the context of older adults' PAEHR use based on findings from the largest national investigation of reasons for older users to access PAEHR in Sweden demonstrating the applicability of the theory in improving the understanding of the diversity of individual perceptions on eHealth technologies.

Association between digital health literacy and physical activity levels among individuals with and without long-term health conditions: Data from a cross-sectional survey of 19,231 individuals

Objectives

This study explored associations between digital health literacy and physical activity levels and assessed potential interactions of long-term health conditions.

Methods

A cross-sectional survey was sent to 34,000 inhabitants in Region Zealand, Denmark. The survey included items on physical activity levels and three electronic Health Literacy Questionnaire (eHLQ) scales (1, 4, and 5). Associations were assessed by logistic regression and adjusted for confounders.

Results

A total of 19,231 participated in the survey. Positive associations were found between higher digital health literacy and being active >30 min./week at moderate-to-vigorous intensity (eHLQ 1: OR 1.24, p < 0.001; eHLQ 4: OR 1.13, p = 0.012; eHLQ 5: OR 1.25, p < 0.001), compliance with the World Health Organization minimum recommendations for physical activity (eHLQ 1: OR 1.33 p < 0.001; eHLQ 4: OR 1.08 p = 0.025; eHLQ 5: OR 1.32, p < 0.001), and self-reported physical active (eHLQ 1: OR 1.50 p < 0.001; eHLQ 4: OR 1.24 p < 0.001; eHLQ 5: OR 1.54 p < 0.001), even when fully adjusted for covariates. No significant interaction was found for long-term health conditions. However, individuals with more long-term health conditions exhibited the lowest digital health literacy scores (9% to 19% scored <2.0).

Conclusion

A higher digital health literacy is positively associated with higher physical activity levels. This highlights the importance of screening and promoting digital health literacy in managing digital health and digital physical activity interventions. Future research should explore strategies and targeted interventions to enhance digital health literacy and improve health outcomes.

Satisfaction With Primary Care Among the Foreign-Born and the General Population in Finland: A Survey-Based study

Foreign-born people have been found to be less satisfied with health care than native populations across countries. However, studies on differences in satisfaction with treatment between different foreign-born groups are lacking. This study explores differences in satisfaction with primary health care between the foreign-born population from different regions of origins and the general population of Finland. The study uses survey data on foreign-born population (n = 2708) and general population (n = 6671) living in Finland who report using health services. Satisfaction with experienced respect for privacy during treatment, benefit of treatment and smoothness of treatment are predicted by region of origin using logistic regression. Almost all foreign-born groups were less likely to consider treatment appointments beneficial as compared to the general population. Some foreign-born groups (people from Southeast Asia and South and Central Asia) were more satisfied with smoothness of care compared to general population. People from East Asia were less likely than the general population to consider that their privacy had been respected during the examinations and treatment. While we made the positive finding of high overall satisfaction with treatment, we also found important differences between groups. In particular, appointments were found less useful among the foreign-born population. Perceived unusefulness of treatment might lead to underuse of health care, which might result in accumulation of untreated health problems. The results point toward potential development points in the health care system. Addressing these issues might help decrease health disparities between population groups.

Greenway of Digital Health Technology During COVID-19 Crisis: Bibliometric Analysis, Challenges, and Future Perspective

Digital health has transformed the healthcare landscape by leveraging technology to improve patient outcomes and access to medical services. The COVID-19 pandemic has highlighted the urgent need for digital healthcare solutions that can mitigate the impact of the outbreak while ensuring patient safety. In this chapter, we delve into how digital health technologies such as telemedicine, mobile apps, and wearable devices can provide personalized care, reduce healthcare provider burden, and lower healthcare costs. We also explore the creation of a greenway of digital healthcare that safeguards patient confidentiality, enables efficient communication, and ensures cost-effective payment systems. This chapter showcases the potential of digital health to revolutionize healthcare delivery while ensuring patient well-being and medical staff satisfaction.

Profiles of digital health literacy among university students and its association with mental health during the COVID-19 pandemic: A latent profile analysis

Objective

Investigating the digital health literacy of university students can facilitate their effective acquisition of health information and adoption of appropriate protective behaviors. This study aims to explore the subtypes of digital health literacy among university students during the COVID-19 pandemic and their association with mental health outcomes.

Methods

From 17 November to 14 December 2022, a stratified random sampling approach was used to conduct an online questionnaire survey on digital health literacy, fear of COVID-19, and depression status among students at Jilin University, China. A total of 1060 valid responses were obtained in the survey. Latent profile analysis identified subtypes of digital health literacy and linear regression analyses were used to examine the association of digital health literacy to the mental health outcome.

Results

Three latent profiles were identified: Profile 1-low digital health literacy (n = 66, 6.23%), Profile 2-moderate digital health literacy (n = 706, 66.60%), and Profile 3-high digital health literacy (n = 288, 27.17%). Results from linear regression demonstrated a negative correlation between digital health literacy and fear of COVID-19 (B = -2.954, P < 0.001) as well as depression (B = -2.619, P < 0.001) among university students.

Conclusions

This study indicated that the majority of university students exhibit a moderate level of digital health literacy during the COVID-19 pandemic. Additionally, the study validates a negative correlation between digital health literacy and mental health among university students.

"I'm still struggling with it, and it scares me": A qualitative analysis of older adults' experiences with digital health portals during and after COVID-19

Objective

The scaling of digital health platforms, accelerated by the COVID-19 pandemic, has globally reshaped the delivery of healthcare services, presenting both opportunities and challenges. Ensuring equitable access, especially for digitally disadvantaged groups, is a critical concern, and this study explores older adults' perspectives on digital health platforms during and after the COVID-19 pandemic and examines their strategies for coping with the general challenges of the digitalization of health.

Methods

A total of 77 older adults (aged at least 65), including both internet users and non-users, participated in 11 focus group sessions in Slovenia between September and December 2022. Hybrid thematic analysis was used to develop an understanding of the challenges confronted by older adults in the digital health landscape.

Results

Three key themes emerged from the focus group sessions, which highlight digital inequalities that impact access to digital health platforms and their services: the challenges of digitalized health services, coping with these challenges, and the outcomes of health service digitalization. The "digital health paradox" is evident, in which opportunities are provided for some while access is limited for those unwilling or unable to use digital health platforms. Proxy users, often family or friends, help bridge this gap.

Conclusions

Ensuring the availability and viability of traditional health service access is crucial for empowering older adults to choose between digital health platforms and alternatives. Recognizing the importance of traditional approaches is vital, and healthcare providers and policymakers should prioritize inclusivity to ensure a diverse and equitable healthcare system for older adults and vulnerable populations.

User feedback on the NHS test & Trace Service during COVID-19: The use of machine learning to analyse free-text data from 37,914 England adults

Objectives

The UK government's approach to the pandemic relies on a test, trace and isolate strategy, mainly implemented via the digital NHS Test & Trace Service. Feedback on user experience is central to the successful development of public-facing Services. As the situation dynamically changes and data accumulate, interpretation of feedback by humans becomes time-consuming and unreliable. The specific objectives were to 1) evaluate a human-in-the-loop machine learning technique based on structural topic modelling in terms of its Service ability in the analysis of vast volumes of free-text data, 2) generate actionable themes that can be used to increase user satisfaction of the Service.

Methods

We evaluated an unsupervised Topic Modelling approach, testing models with 5-40 topics and differing covariates. Two human coders conducted thematic analysis to interpret the topics. We identified a Structural Topic Model with 25 topics and metadata as covariates as the most appropriate for acquiring insights.

Results

Results from analysis of feedback by 37,914 users from May 2020 to March 2021 highlighted issues with the Service falling within three major themes: multiple contacts and incompatible contact method and incompatible contact method, confusion around isolation dates and tracing delays, complex and rigid system.

Conclusions

Structural Topic Modelling coupled with thematic analysis was found to be an effective technique to rapidly acquire user insights. Topic modelling can be a quick and cost-effective method to provide high quality, actionable insights from free-text feedback to optimize public health Services.

Professionals Evaluating Clients' Suitability for Digital Health and Social Care: Scoping Review of Assessment Instruments

BACKGROUND

Increased digital health and social care services are generally considered to improve people's access to services. However, not everyone can equally access and use these resources. Health and social care professionals should assess clients' suitability for digital solutions, but to succeed, they need information about what to evaluate and how.

OBJECTIVE

This scoping review aimed to identify evaluation tools that professionals can use when assessing clients' suitability for digital health and social care. We summarized the dimensions and the practical usefulness of the instruments.

METHODS

The MEDLINE (Ovid), CINAHL, Web of Science, and ASSIA databases were searched in February 2023 following the Joanna Briggs Institute's Manual for Evidence Synthesis. Studies were included if they focused on health and social care clients and professionals, examined clients' suitability for using digital health or social care, and applied related assessment methods in the direct client work of professionals. Studies focusing primarily on instruments intended for research use without clear applicability to professionals' practical contexts were excluded. Details of the eligible studies were extracted, and qualitative content analysis according to the research objectives was performed.

RESULTS

A total of 19 articles introducing 12 different assessment instruments intended for the health care context were included in the review. No instruments were found for evaluating the suitability for digital social care. The instruments contained 60 dimensions of the client's suitability for digital health, which reflected four perspectives: (1) skill-based suitability, (2) suitability based on general ability to maintain health, (3) suitability based on attitude and experience, and (4) suitability based on practical matters. The described practical usefulness of the instruments included professionals' possibility to (1) identify clients most in need of education and support, (2) direct and recommend the right clients for the right digital services, (3) ensure that clients can use digital health, (4) improve effectiveness and maximize the provision of digital health, (5) develop and redesign services, and (6) empower clients.

CONCLUSIONS

Based on the diverse assessment instruments available and the dimensions they measure, there seems to be no comprehensive evaluation tool for assessing clients' prerequisites to use digital solutions. It is important to further develop comprehensive screening tools applicable to professionals' busy work (both in health and social care) with defined threshold values for suitability.

Effectiveness of Interventions to Improve Digital Health Literacy in Forced Migrant Populations: Protocol for a Mixed Methods Systematic Review

BACKGROUND

Digital health literacy is considered a health determinant that can influence improved health and well-being, health equity, and the reduction of social health inequalities. Therefore, it serves as an asset for individuals to promote their health. However, low digital health literacy is a major problem among forced migrant populations. They do not always have the capacity and skills to access digital health resources and use them appropriately. To our knowledge, no studies are currently available to examine effective interventions for improving digital health literacy among forced migrant populations.

OBJECTIVE

This paper presents the protocol for a systematic review that aims to assess the effectiveness of digital health literacy interventions among forced migrant populations. With this review, our objectives are as follows: (1) identify interventions designed to improve digital health literacy among forced migrant populations, including interventions aimed at creating enabling conditions or environments that cater to the needs and expectations of forced migrants limited by low levels of digital health literacy, with the goal of facilitating their access to and use of eHealth resources; (2) define the categories and describe the characteristics of these interventions, which are designed to enhance the abilities of forced migrants or adapt digital health services to meet the needs and expectations of forced migrant populations.

METHODS

A mixed methods systematic review will be conducted according to the PRISMA-P (Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols) checklist. The research will be conducted in an iterative process among the different authors. With the help of a medical information specialist, a specific search strategy will be formulated for the 6 most relevant databases (ie, MEDLINE, Embase, CINAHL, Web of Science, Academic Search Premier, PsycINFO, and the Google Scholar search engine). A literature search covering studies published between 2000 and 2022 has already been conducted. Two reviewers then proceeded, individually and independently, to conduct a double selection of titles, abstracts, and then full texts. Data extraction will be conducted by a reviewer and validated by a senior researcher. We will use the narrative synthesis method (ie, structured narrative summaries of key themes) to present a comprehensive picture of effective digital health literacy interventions among forced migrant populations and the success factors of these interventions.

RESULTS

The search strategy and literature search were completed in December 2022. A total of 1232 articles were identified. The first selection was completed in July 2023. The second selection is still in progress. The publication of the systematic review is scheduled for December 2023.

CONCLUSIONS

This mixed methods systematic review will provide comprehensive knowledge on effective interventions for digital literacy among forced migrant populations. The evidence generated will further inform stakeholders and aid decision makers in promoting equitable access to and use of digital health resources for forced migrant populations and the general population in host countries.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/50798.

Sustainability, spread, and scale in trials using audit and feedback: a theory-informed, secondary analysis of a systematic review

BACKGROUND

Audit and feedback (A&F) is a widely used implementation strategy to influence health professionals' behavior that is often tested in implementation trials. This study examines how A&F trials describe sustainability, spread, and scale.

METHODS

This is a theory-informed, descriptive, secondary analysis of an update of the Cochrane systematic review of A&F trials, including all trials published since 2011. Keyword searches related to sustainability, spread, and scale were conducted. Trials with at least one keyword, and those identified from a forward citation search, were extracted to examine how they described sustainability, spread, and scale. Results were qualitatively analyzed using the Integrated Sustainability Framework (ISF) and the Framework for Going to Full Scale (FGFS).

RESULTS

From the larger review, n = 161 studies met eligibility criteria. Seventy-eight percent (n = 126) of trials included at least one keyword on sustainability, and 49% (n = 62) of those studies (39% overall) frequently mentioned sustainability based on inclusion of relevant text in multiple sections of the paper. For spread/scale, 62% (n = 100) of trials included at least one relevant keyword and 51% (n = 51) of those studies (31% overall) frequently mentioned spread/scale. A total of n = 38 studies from the forward citation search were included in the qualitative analysis. Although many studies mentioned the need to consider sustainability, there was limited detail on how this was planned, implemented, or assessed. The most frequent sustainability period duration was 12 months. Qualitative results mapped to the ISF, but not all determinants were represented. Strong alignment was found with the FGFS for phases of scale-up and support systems (infrastructure), but not for adoption mechanisms. New spread/scale themes included (1) aligning affordability and scalability; (2) balancing fidelity and scalability; and (3) balancing effect size and scalability.

CONCLUSION

A&F trials should plan for sustainability, spread, and scale so that if the trial is effective, the benefits can continue. A deeper empirical understanding of the factors impacting A&F sustainability is needed. Scalability planning should go beyond cost and infrastructure to consider other adoption mechanisms, such as leadership, policy, and communication, that may support further scalability.

TRIAL REGISTRATION

Registered with Prospero in May 2022. CRD42022332606.

Amplifying Older Aboriginal and Torres Strait Islander Women's Perspectives to Promote Digital Health Equity: Co-Designed Qualitative Study

BACKGROUND

Digital health is becoming ubiquitous, and we must ensure equity in access. Indigenous people across most high-income countries typically have not benefited as much as other citizens from usual health care systems and technologies. Despite Aboriginal and Torres Strait Islander people's clear interest in, and enthusiastic use of, new technologies, little research has examined the needs or interests of older Aboriginal and Torres Strait Islander women.

OBJECTIVE

This study prioritizes the perspectives of older Aboriginal and Torres Strait Islander women, tapping into their expertise associated with Indigenous ways of knowing, being, and doing, as well as their unique position within their families and communities, to design a model for using digital technologies to improve health for themselves and their families as well as their communities.

METHODS

Older Aboriginal and Torres Strait Islander women from 4 partner organizations were recruited for this study. This co-designed qualitative research included citizen scientists in shaping the protocol as well as collecting, analyzing, and interpreting data. We used yarning, an Indigenous research method validated for use in health research with Indigenous people and seen as respectful and culturally safe, as a primary research tool. The use of Indigenous methodologies and our iterative process enabled us to deeply explore and incorporate perspectives from all participants and ensure that the perspectives of Indigenous citizen scientists with lived experience were privileged. The data-checking methods also used a yarning methodology, which ensured that the findings and translational model derived from the findings were validated by the participants.

RESULTS

Participants comprised 24 Aboriginal and Torres Strait Islander women aged ≥41 years and including 3 generations that did not grow up with the internet: seniors, baby boomers, and Generation X. The key findings in this research were that older women use various digital technologies to improve health and well-being for themselves and their families as well as their communities. Older Aboriginal women want a culturally sensitive cyberspace that caters specifically to their needs and includes relevant content and functionality that are accessible and efficient. Our translational model highlights the conditions necessary for anyone to use digital health technologies, summarizes the essential elements needed to promote equity in digital health, and illuminates the unmet needs and requirements for older Aboriginal and Torres Strait Islander women to fully benefit from digital health technologies.

CONCLUSIONS

Health is a fundamental right. As we move toward greater reliance on digital health solutions, we must recognize and address the concerns of the smaller populations of people who differ in their needs. We must urgently address the financial, connectivity, and other limiting factors highlighted by older Aboriginal and Torres Strait Islander women in this study that limit equitable access to digital health tools.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1177/20552076221084469.

Perceptions of registered nurses on facilitators and barriers of implementing the AI-IoT-based healthcare pilot project for older adults during the COVID-19 pandemic in South Korea

Objective

This study explored the perceptions of registered nurses on the facilitators and barriers to implementing an AI/IoT (Artificial Intelligence/Internet of Things)-based healthcare pilot project, designed to prevent frailty and improve health behaviors by providing Bluetooth-enabled smart devices (including blood pressure and blood glucose meters) for the older adults aged over 65 years and above in South Korea.

Methods

Using a qualitative descriptive methodology, interviews and qualitative surveys were conducted with 15 registered nurses from 11 public health centers. Data were analyzed using qualitative content analysis.

Results

The study found that the AI·IoT-based healthcare pilot project was well received by participants, leading to increased client satisfaction and improved health behaviors. Government support and funding were crucial facilitators of project implementation. However, technical challenges and disparities in digital literacy among older adults pose significant barriers.

Conclusion

The findings highlight the potential of AI·IoT technologies in improving the healthcare of older adults. Efforts to address technological challenges and enhance digital literacy among vulnerable populations are necessary for successfully implementing such interventions. Government support and ongoing training for healthcare professionals can help optimize the AI·IoT-based healthcare services for older adults.

Promoting the systematic use of real-world data and real-world evidence for digital health technologies across Europe: a consensus framework

Despite the acceleration in the use of digital health technologies across different aspects of the healthcare system, the full potential of real-world data (RWD) and real-world evidence (RWE) arising from the technologies is not being utilised in decision-making. We examine current national efforts and future opportunities to systematically use RWD and RWE in decision-making in five countries (Estonia, Finland, Germany, Italy and the United Kingdom), and then develop a framework for promotion of the systematic use of RWD and RWE. A review assesses current national efforts, complemented with a three-round consensus-building exercise among an international group of experts (n1 = 44, n2 = 24, n3 = 24) to derive key principles. We find that Estonia and Finland have invested and developed digital health-related policies for several years; Germany and Italy are the more recent arrivals, while the United Kingdom falls somewhere in the middle. Opportunities to promote the systematic use of RWD and RWE were identified for each country. Eight building blocks principles were agreed through consensus, relating to policy scope, institutional role and data collection. Promoting post-market surveillance and digital health technology vigilance ought to rely on clarity in scope and data collection with consensus reached on eight principles to leverage RWD and RWE.

Digital Determinants of Health: Health data poverty amplifies existing health disparities-A scoping review

Artificial intelligence (AI) and machine learning (ML) have an immense potential to transform healthcare as already demonstrated in various medical specialties. This scoping review focuses on the factors that influence health data poverty, by conducting a literature review, analysis, and appraisal of results. Health data poverty is often an unseen factor which leads to perpetuating or exacerbating health disparities. Improvements or failures in addressing health data poverty will directly impact the effectiveness of AI/ML systems. The potential causes are complex and may enter anywhere along the development process. The initial results highlighted studies with common themes of health disparities (72%), AL/ML bias (28%) and biases in input data (18%). To properly evaluate disparities that exist we recommend a strengthened effort to generate unbiased equitable data, improved understanding of the limitations of AI/ML tools, and rigorous regulation with continuous monitoring of the clinical outcomes of deployed tools.

Digital Health Interventions to Improve Access to and Quality of Primary Health Care Services: A Scoping Review

Global digital technology advances offer the potential to enhance primary health care (PHC) quality, reach, and efficiency, driving toward universal health coverage (UHC). This scoping review explored how digital health solutions aid PHC delivery and UHC realization by examining the context, mechanisms, and outcomes of eHealth interventions. A comprehensive literature search was conducted, capturing qualitative and quantitative studies, process evaluations, and systematic or scoping reviews. Our analysis of 65 articles revealed that a well-functioning digital ecosystem-featuring adaptable, interoperable digital tools, robust Information and Communications Technology foundations, and enabling environments-is pivotal for eHealth interventions' success. Facilities with better digital literacy, motivated staff, and adequate funding demonstrated a higher adoption of eHealth technologies, leading to improved, coordinated service delivery and higher patient satisfaction. However, eHealth's potential is often restricted by existing socio-cultural norms, geographical inequities in technology access, and digital literacy disparities. Our review underscores the importance of considering the digital ecosystem's readiness, user behavior, broader health system requirements, and PHC capacity for adopting digital solutions while assessing digital health interventions' impact.

Current challenges and potential solutions to the use of digital health technologies in evidence generation: a narrative review

Digital health is a field that aims to improve patient care through the use of technology, such as telemedicine, mobile health, electronic health records, and artificial intelligence. The aim of this review is to examine the challenges and potential solutions for the implementation and evaluation of digital health technologies. Digital tools are used across the world in different settings. In Australia, the Digital Health Translation and Implementation Program (DHTI) emphasizes the importance of involving stakeholders and addressing infrastructure and training issues for healthcare workers. The WHO's Global Task Force on Digital Health for TB aims to address tuberculosis through digital health innovations. Digital tools are also used in mental health care, but their effectiveness must be evaluated during development. Oncology supportive care uses digital tools for cancer patient intervention and surveillance, but evaluating their effectiveness can be challenging. In the COVID and post-COVID era, digital health solutions must be evaluated based on their technological maturity and size of deployment, as well as the quality of data they provide. To safely and effectively use digital healthcare technology, it is essential to prioritize evaluation using complex systems and evidence-based medical frameworks. To address the challenges of digital health implementation, it is important to prioritize ethical research addressing issues of user consent and addressing socioeconomic disparities in access and effectiveness. It is also important to consider the impact of digital health on health outcomes and the cost-effectiveness of service delivery.

Community interventions for anxiety and depression in adults and young people: A systematic review

BACKGROUND

Growing evidence suggests that community-based interventions may be effective for anxiety and depression. This study aimed to describe studies of community interventions delivered to adults and/or young people, either in person or online, evaluated in randomised controlled trials and provide an indication as to their effectiveness, acceptability, quality of data and where possible, mechanisms of action. We included interventions delivered at and/or by museums, art galleries, libraries, gardens, music groups/choirs and sports clubs.

METHOD

We developed and followed a preregistered protocol: PROSPERO CRD42020204471. Randomised controlled trials in adults and young people were identified in an extensive search with no date/time, language, document type and publication status limitations. Studies were selected according to predetermined eligibility criteria and data independently extracted and then assessed using Risk of Bias 1. The studies were deemed too heterogeneous for meta-analysis and were therefore reported using a narrative synthesis.

RESULTS

Our analysis included 31 studies, with 2898 participants. Community interventions most studied in randomised controlled trials were community music (12 studies, 1432 participants), community exercise (14 studies, 955 participants) and community gardens/gardening (6 studies, 335 participants). The majority of studies were from high-income countries - many were in specific populations (such as those with physical health problems) and were generally of low quality. Dropout rates across the included studies were low (1 participant on average per 100 participants). The inadequate description of interventions limited identification of potential mechanisms of action.

DISCUSSION

The uncertainty of the evidence allows only a weak recommendation in support of community interventions for anxiety and depression. The results suggest community engagement is a promising area for wide-reaching interventions to be implemented and evaluated, but more high-quality trials are needed, especially in young people and under-represented communities.

Bringing Health Care Equity to Diverse and Underserved Populations in Sleep Medicine and Research Through a Digital Health Equity Framework

Individuals from minoritized groups are less likely to receive sleep medicine care and be the focus of sleep research. Several barriers may explain under-representation and low participation. The coronavirus disease 2019 (COVID-19) pandemic highlighted a digital divide that exacerbated disproportionate sleep health outcomes and access to sleep medicine and research opportunities among minoritized groups. The authors' team developed a digital health equity and inclusion model and revamped its culturally-tailored community outreach program to advance sleep health equity among minoritized groups. This article describes how the authors implemented their digital sleep health equity and inclusion model during the COVID-19 pandemic.

Can digital health researchers make a difference during the pandemic? Results of the single-arm, chatbot-led Elena+: Care for COVID-19 interventional study

Background

The current paper details findings from Elena+: Care for COVID-19, an app developed to tackle the collateral damage of lockdowns and social distancing, by offering pandemic lifestyle coaching across seven health areas: anxiety, loneliness, mental resources, sleep, diet and nutrition, physical activity, and COVID-19 information.

Methods

The Elena+ app functions as a single-arm interventional study, with participants recruited predominantly via social media. We used paired samples T-tests and within subjects ANOVA to examine changes in health outcome assessments and user experience evaluations over time. To investigate the mediating role of behavioral activation (i.e., users setting behavioral intentions and reporting actual behaviors) we use mixed-effect regression models. Free-text entries were analyzed qualitatively.

Results

Results show strong demand for publicly available lifestyle coaching during the pandemic, with total downloads (N = 7'135) and 55.8% of downloaders opening the app (n = 3,928) with 9.8% completing at least one subtopic (n = 698). Greatest areas of health vulnerability as assessed with screening measures were physical activity with 62% (n = 1,000) and anxiety with 46.5% (n = 760). The app was effective in the treatment of mental health; with a significant decrease in depression between first (14 days), second (28 days), and third (42 days) assessments: F2,38 = 7.01, p = 0.003, with a large effect size (η2G = 0.14), and anxiety between first and second assessments: t54 = 3.7, p = <0.001 with a medium effect size (Cohen d = 0.499). Those that followed the coaching program increased in net promoter score between the first and second assessment: t36 = 2.08, p = 0.045 with a small to medium effect size (Cohen d = 0.342). Mediation analyses showed that while increasing number of subtopics completed increased behavioral activation (i.e., match between behavioral intentions and self-reported actual behaviors), behavioral activation did not mediate the relationship to improvements in health outcome assessments.

Conclusions

Findings show that: (i) there is public demand for chatbot led digital coaching, (ii) such tools can be effective in delivering treatment success, and (iii) they are highly valued by their long-term user base. As the current intervention was developed at rapid speed to meet the emergency pandemic context, the future looks bright for other public health focused chatbot-led digital health interventions.

Risk communication and community engagement with vulnerable groups: Perceptions of social-services CSOs during Covid-19

Risk communication enables people to be prepared, respond and recover from public health risks which can only be realized with a considerable amount of community engagement. Enabling community involvement is necessary in order to reach and protect vulnerable people during epidemics. In situations of acute emergency, it is difficult to reach everyone, which makes it necessary to work with intermediaries such as social and care facilities and civil society organizations (CSOs) who work to support the most vulnerable in our societies. This paper analyses the perceptions of experts working in social facilities or CSOs of Covid-19 RCCE efforts in Austria. It starts from a broad understanding of vulnerability which combines medical, social and economic determinants. We conducted 21 semi-structured interviews with CSO and social facility managers. The UNICEF core community engagement standards (2020) were used as a framework for qualitative content analysis. The results show that CSO's and social facilities were essential for allowing community involvement of vulnerable people in Austria during the pandemic. For the CSO's and social facilities participation of their vulnerable clients was a real challenge especially because direct contact was difficult and public services were switched to digital only. Nonetheless, they all put a lot of effort into adapting and discussing Covid-19 regulations and measures with their clients and employees which in many cases led to acceptance of public health measures. The study gives recommendations on how community engagement could be enhanced especially from government actors and how CSO's could be addressed more as essential partners.