BACKGROUND: Digital exclusion, characterized by a lack of access to digital technology, connectivity, or digital skills, disproportionally affects marginalized groups. An important domain impacted by digital exclusion is access to health care. During COVID-19, health care services had to restrict face-to-face contact to limit the spread of the virus. The subsequent shift toward remote delivery of mental health care exacerbated the digital divide, with limited access to remote mental health care delivery. In response, Camden and Islington National Health Service Foundation Trust launched the innovative Digital Inclusion Scheme (DIS).
OBJECTIVE: This study aimed to examine the impact of facilitating digital inclusion in mental health access. Camden and Islington National Health Service Foundation Trust implemented the trust-wide DIS for service users who were digitally excluded, that is, were without devices or connectivity or reported poor digital skills. The scheme provided access to a loan digital device (a tablet), internet connectivity devices, and mobile data, as well as personalized digital skills support.
METHODS: The DIS went live in October 2021 and received 106 referrals by June 2022. Semistructured interviews were conducted with 12 service users to ask about their experience of accessing the DIS. A thematic analysis identified themes and subthemes relating to the extent of their digital exclusion before engaging with the scheme and the impact of accessing a scheme on their ability to engage with digital technology and well-being.
RESULTS: There were 10 major themes. A total of 6 themes were related to factors impacting the engagement with the scheme, including digital exclusion, relationship to the trust, the importance of personalized digital support, partnership working, device usability and accessibility, and personal circumstances. The remaining 4 themes spoke to the impact of accessing the scheme, including improved access to services, impact on well-being, financial implications, and a greater sense of empowerment.
CONCLUSIONS: Participants reported an increased reliance on technology driving the need for digital inclusion; however, differences in motivation for engaging with the scheme were noted, as well as potential barriers, including lack of awareness, disability, and age. Overall, the experience of accessing the DIS was reported as positive, with participants feeling supported to access the digital world. The consequences of engaging with the scheme included greater perceived access to and control of physical and mental health care, improved well-being, and a greater sense of empowerment. An overview of the lessons learned are provided along with suggestions for other health care settings that are looking to implement similar schemes.

UNASSIGNED: Mental health of university students has been impacted during the pandemic, highlighting the importance of understanding its psychosocial determinants. Nevertheless, there has been limited exploration into whether the digital inclusion conditions for remote education could mediate the effects that variables such as resilience, social support, and academic self-efficacy may have on mental health. Considering the above, there is evidence that shows a consistent relationship between resilience, social support and academic self-efficacy on mental health, to the extent that these are psychological variables. On the other hand, digital inclusion, which comprehends a contextual variable, not a psychological one, related to ICT access opportunities and mainly focused on the quality of Internet access, should be analyzed in a differential manner.
UNASSIGNED: This study seeks to analyze the effect of resilience, social support and academic self-efficacy, on the mental health of a group of Peruvian university students; in addition, it seeks to analyze the mediating role of digital inclusion.
UNASSIGNED: A cross-sectional study was conducted with 3,147 undergraduate students from a private university in Lima, Perú. From August to October 2020, data were collected online through questionnaire, this include The Depression, Anxiety and Stress Scale 21 (DASS-21), The 10-item version of the Connor-Davidson Resilience Scale (CD-RISC10), The Multidimensional Scale of Perceived Social Support (EMASP), The Perceived Self-Efficacy Specific for Academic Situations Scale (EAPESA) and to measure digital inclusion, the Perceived Quality of Internet Access reported by the students. The levels of participants\' anxiety, depression and stress were described using frequency and percentage. Pearson Correlation test was used to measure the correlation between the variables and a Path analysis was conducted. Finally, The PROCESS macro for SPSS (Model 4) was applied to examine the mediating effect of the model controlling gender variable.
UNASSIGNED: The results revealed significant levels of extremely severe symptoms of anxiety (36.8%), depression (33.4%) and stress (18.1%) among the participants. A path analysis, which indicated that resilience (β = -0.346), social support (β = -0.189), academic self-efficacy (β = -0.060) and digital inclusion (β = -0.089) had significant impact on students\' General Distress. In addition, digital inclusion plays a partial mediation role with low but significant effect size in the relationship between resilience, social support and self-efficacy with mental health.
UNASSIGNED: Mental health of university students during the pandemic shows alarming levels of general or emotional distress. The findings indicate that resilience, social support and self-efficacy protect college students\' mental health by reducing general distress. However, the study shows that when there is a digital divide around internet quality the impact of these factors is affected.

This collaborative, qualitative study aimed to understand the impact that smartphone technology can have for survivors of human trafficking and slavery in relation to their mental health, well-being and social connections, access to services and levels of independence and isolation. The pilot project was conceived shortly before the COVID-19 pandemic by anti-slavery charity Unseen and the telecommunications company BT, in recognition of the potential of smartphone technology to enhance survivors\' recovery from trauma. BT donated smartphones and SIM cards with 6-month call and data packages that Unseen distributed to survivors they were supporting. Seventy-four survivors received a smartphone; 27 survivors were interviewed and 12 Unseen staff completed a free-text survey exploring perceptions of the intervention. A well-being capability measure (ICECAP-A) was conducted with survivors at the start and end of the project. Researchers analyzed all data, triangulating across data sources. Analysis showed support staff play a key role in the success of the intervention to increase digital inclusion. Smartphones helped survivors develop skills to assist them in their move toward independent living and navigate the systems and services in their environment. The intervention was highly valuable to survivors for support, integration and access to services. Our findings suggest that suitable technology packages should be assessed for inclusion as standard support for survivors of modern slavery within the UK Government\'s National Referral Mechanism (NRM). Achieving this change in NRM policy will go some way to realize the United Nations 2030 Agenda, specifically SDG 3 (Good health and wellbeing for all at all ages), SDG 8 (Decent Work-inclusive and sustained economic growth) and SDG 16 (Peace, justice and strong institutions-inclusive societies and access to justice for all).

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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.

BACKGROUND: The transition to digital tools prompted by the pandemic made evident digital disparities. To address digital literacy gaps, we implemented a system-wide digital navigation program.
METHODS: The Digital Access Coordinator (DAC) program consists of 12 multilingual navigators who support patients in enrolling and using the patient portal and digital tools. We implemented the program in our primary care network which consists of 1.25 million patients across 1211 clinicians.
RESULTS: From May 2021 to November 2022, the DACs completed outreach to 16 045 patients. Of the 13 413 patients they reached, they successfully enrolled 8193 (61%) patients in the patient portal. Of those patients they enrolled, most patients were of Other race, Hispanic ethnicity, and were English-speaking (44%) and Spanish-speaking patients (44%). Using our embedded model, we increased enrollment across 7 clinics (mean increase: 21.3%, standard deviation: 9.2%). Additionally, we identified key approaches for implementing a digital navigation program.
CONCLUSIONS: Organizations can support patient portal enrollment, a key part of digital health equity, by creating and prioritizing digital navigation programs.

This scoping review examines cyberbullying victimisation in people with mild to moderate intellectual disabilities, focusing on specific types of cyberbullying behaviours, such as flaming, harassment, and stalking. A five-stage review of empirical research was conducted using 15 electronic databases, covering publications from October 1969 to January 2024. Twelve studies were selected, reporting cyberbullying victimisation rates ranging from 5% to 64%. Harassment was the most common behaviour experienced. However, flaming, cyber-stalking, griefing, and shaming have not been thoroughly investigated. The impact and coping strategies, including support mechanisms, also lack research. Further investigation is needed to understand the various types of cyberbullying experienced by people with intellectual disabilities and to develop coping and resilience strategies. Recommendations for future research and practice are provided.

BACKGROUND: Digital determinants of health (DDoH), including access to technological tools and digital health literacy, function independently as barriers to health. Assessment for DDoH is not routine within most health care systems, although addressing DDoH could help mitigate differential health outcomes and the digital divide.
OBJECTIVE: This study aims to assess the role of individual-level DDoH factors on patient enrollment in and use of the patient portal.
METHODS: We developed a multimodal, cross-sectional survey and deployed it to 11,424 individuals based on their preferred mode and language documented within the electronic medical record. Based on the Technology Acceptance Model, enrollment in and intent to use the patient portal were the outcomes of interest. Perceived usefulness and ease of use were assessed to determine construct validity, and exploratory investigations included individual-level DDoH, including internet and device access, availability of technological support, medical complexity, individual relationship with the health care system, and digital health literacy. Counts (n) and proportions (%) were used to describe response categories, and adjusted and unadjusted odds ratios are reported.
RESULTS: This study included 1850 respondents (11,424 invited, 16.2% response rate), who were mostly female (1048/1850, 56.6%) and White (1240/1850, 67%), with an average age of 63 years. In the validation of the Technology Acceptance Model, measures of perceived ease of use (ie, using the patient portal will require a lot of mental effort; the patient portal will be very easy to use) and perceived usefulness (ie, the usefulness of the patient portal to send and receive messages with providers, schedule appointments, and refill medications) were positively associated with both enrollment in and intent to use the patient portal. Within adjusted models, perceived ease of use and perceived usefulness constructs, in addition to constructs of digital health literacy, knowing what health resources are available on the internet (adjusted odds ratio [aOR] 3.5, 95% CI 1.8-6.6), portal ease of use (aOR 2.8, 95% CI 1.6-5), and portal usefulness (aOR 2.4, 95% CI 1.4-4.2) were significantly associated with patient portal enrollment. Other factors associated with patient portal enrollment and intent to use included being comfortable reading and speaking English, reported use of the internet to surf the web or to send or receive emails, home internet access, and access to technology devices (computer, tablet, smartphone, etc).
CONCLUSIONS: Assessing for and addressing individual-level DDoH, including digital health literacy, access to digital tools and technologies, and support of the relational aspects between patients, social support systems, and health care providers, could help mitigate disparities in health. By focusing efforts to assess for and address individual-level DDoH, an opportunity exists to improve digitally driven health care delivery outcomes like access and structural outcomes like bias built within algorithms created with incomplete representation across communities.

BACKGROUND: Although comprehensive lifestyle habits are crucial for healthy aging, their adherence tends to decline as individuals grow older. Sustaining a healthy life over time poses a motivational challenge. Some digital tools, such as smartphone apps aimed at promoting healthy habits, have been used to counteract this decline. However, a more profound investigation is necessary into the diverse experiences of users, particularly when it concerns older adults or those who are unfamiliar with information and communications technologies.
OBJECTIVE: We aimed to develop a mobile app focused on promoting the health of older adults based on the principles of software engineering and a user-centered design. The project respected all ethical guidelines and involved the participation of older adults at various stages of the development of the app.
METHODS: This study used a mixed methods approach, combining both quantitative and qualitative methodologies for data collection. The study was conducted in Ribeirão Prêto, São Paulo, Brazil, and involved 20 older adults of both genders who were aged ≥60 years and enrolled in the Physical Education Program for the Elderly at the University of São Paulo. The research unfolded in multiple phases, encompassing the development and refinement of the app with active engagement from the participants.
RESULTS: A total of 20 participants used a mobile health app with an average age of 64.8 (SD 2.7) years. Most participants had a high school education, middle-class status, and varying health literacy (mean score 73.55, SD 26.70). Overall, 90% (18/20) of the participants owned smartphones. However, 20% (4/20) of the participants faced installation challenges and 30% (6/20) struggled with web-based searches. The focus groups assessed app usability and satisfaction. Adjustments increased satisfaction scores significantly (Suitability Assessment of Materials: 34.89% to 70.65%; System Usability Scale: 71.23 to 87.14). Participant feedback emphasized font size, navigation, visual feedback, and personalization, and suggestions included health device integration, social interaction, and in-app communication support.
CONCLUSIONS: This study contributes to the development of health care technologies tailored to the older adult population, considering their specific needs. It is anticipated that the resulting app will serve as a valuable tool for promoting healthy habits and enhancing the quality of life for older adults.

Obesity in adults is a growing health concern. Although effective, current treatment options have not been able to overcome the various factors that contribute toward rising obesity rates. eHealth might hold the capacity to improve the effectiveness, delivery and flexibility of some of these treatments. Here, we show that eHealth lifestyle change interventions delivered through smartphones (mHealth) can facilitate significant weight loss, making mHealth an attractive adjunct to clinical obesity care. However, evidence is currently limited to short-term effects, and is also lacking with regards to effectiveness based on socioeconomic status and ethnic group. This raises concerns around the potential and inadvertent widening of obesity prevalence disparities between groups as mHealth lifestyle change interventions are increasingly used in obesity care. Thus, we also describe opportunities to address these concerns and gaps in evidence.