Agile Application of Digital Health Interventions during the COVID-19 Refugee Response

Electronic Personal Health Records for Mobile Populations: A Rapid Systematic Literature Review

Background: Mobile populations, including refugees, asylum seekers, and undocumented migrants, face challenges related to access, continuity, and quality of healthcare, among others, due to the lack of available health records. This study aimed to examine the current landscape of Electronic Personal Health Records (EPHRs) developed for and used by mobile populations. Methods: A rapid systematic review was conducted between September 2024 and January 2025, identifying relevant publications through searches in Embase, PubMed, Scopus, and grey literature. Results: The literature search yielded 2303 articles, with 74 remaining after title and abstract screening. After full-text screening, 10 scientific articles and 9 grey literature records were included in a qualitative data synthesis. Six distinct EPHRs were identified, differing in how they centralize health records, in additional functionalities, and the level of patient autonomy granted. Discussion and Conclusions: Limited evidence exists on EPHRs impact on health outcomes or continuity of care, and user adoption remains a critical challenge. Key elements in the development and implementation of EPHRs include ensuring a high level of data security and co-designing easy-to-use EPHRs. The review indicates a need for future research on user experiences of EPHRs and their impact on the health outcomes of mobile populations.

Digital solutions for migrant and refugee health: a framework for analysis and action

Digital technologies can help support the health of migrants and refugees and facilitate research on their health issues. However, ethical concerns include security and confidentiality of information; informed consent; how to engage migrants in designing, implementing and researching digital tools; inequitable access to mobile devices and the internet; and access to health services for early intervention and follow-up. Digital technical solutions do not necessarily overcome problems that are political, social, or economic. There are major deficits with regard to (1) reliable data on the health needs of migrants and mobile populations and on how they can use digital tools to support their health; (2) evidence on effectiveness of solutions; and (3) a broad framework to guide future work. This article provides a wide socio-technical perspective, as a framework for analysis and developing coherent agendas across global-to-local spaces, with particular attention to the European region.

Development and implementation of an electronic health record system for use in humanitarian emergencies, disaster response, and conflict zones

Humanitarian medical response to natural and human-made disasters can be complicated by high clinician, staff, and patient turnover. While electronic medical records are being scaled up globally, their use remains limited in humanitarian response settings. The Fast Electronic Medical Record (fEMR) system is an open-source electronic health record system specifically designed for use in resource-limited settings and humanitarian crises. The system was developed between 2010-2014 through an iterative design process with multidisciplinary team members. It was operationalized in settings with and without internet connectivity. We analyzed data on fEMR usage since inception until October 2022 to estimate the number of patients served by the system. In eight years of implementation (2014-2022), the fEMR system has been deployed 60 times to 11 different countries across four different continents by 14 different organizations. These deployments collectively account for over 37,500 patient encounters with an estimated 31,940 distinct patients. The settings of fEMR use ranged from refugee and migrant health clinics near the Mexico-US border to the Poland-Ukraine border in the context of the 2022 war in Ukraine. User feedback demonstrated the program's ease of use by providers of different clinical and technical backgrounds. Feedback primarily emphasized improving the system's hardware requirements and workflow. The simple design allowed for clinician users to adapt the system to a variety of clinical scenarios. Ongoing and future work in adapting electronic health records to international humanitarian response will emphasize data security, patient privacy, equity, and the rapid translation of electronic health data to improve population health. In humanitarian response settings, electronic health records can improve quality of care and provide a source of clinical and management data for public health planning.

Antecedents and Consequences of Health Literacy among Refugees and Migrants during the First Two Years of COVID-19: A Scoping Review

Supporting refugee and migrant health has become a critical focus of healthcare policy. Developing and designing health literacy interventions that meet the needs of refugees and migrants is core to achieving this objective. This literature review sought to identify antecedents and consequences of health literacy among refugees and migrants during the first two years of the COVID-19 pandemic. We systematically searched nine electronic databases and numerous grey literature sources to identify studies published between December 2019 and March 2022. The antecedents (societal and environmental determinants, situational determinants, and personal determinants) and consequences of health literacy among refugees and migrants were mapped to a validated integrated health literacy model. Social and environmental determinants (n = 35) were the most reported antecedent influencing health literacy among refugees and migrants during the first two years of COVID-19. Language (n = 26) and culture (n = 16) were these determinants' most frequently reported aspects. Situational determinants (n = 24) and personal determinants (n = 26) were less frequently identified factors influencing health literacy among refugees and migrants. Literacy (n = 11) and socioeconomic status (n = 8) were the most frequently reported aspects of personal determinants. Media use (n = 9) and family and peer influence (n = 7) were the most cited situational determinants reported. Refugees and migrants with higher levels of health literacy were more likely to use healthcare services, resulting in better health outcomes. The findings of this review reveal personal and situational factors that impacted health literacy among refugees and migrants during COVID-19 that require attention. However, the inadequate adaptation of health literacy interventions for linguistic and cultural diversity was a greater problem. Attention to this well-known aspect of public health preparedness and tailoring health literacy interventions to the needs of refugees and migrants during pandemics and other public health emergencies are paramount.

Task Sharing and Remote Delivery of Brief Interpersonal Counseling for Venezuelan Migrants and Refugees Living in Peru during the COVID-19 Pandemic: A Mixed-Methods Pilot Study

Refugees and migrants experience an elevated risk for mental health problems and face significant barriers to receiving services. Interpersonal counseling (IPC-3) is a three-session intervention that can be delivered by non-specialists to provide psychological support and facilitate referrals for individuals in need of specialized care. We piloted IPC-3 delivered remotely by eight Venezuelan refugee and migrant women living in Peru. These counselors provided IPC-3 to Venezuelan refugee and migrant clients in Peru (n = 32) who reported psychological distress. Clients completed assessments of mental health symptoms at baseline and one-month post-intervention. A subset of clients (n = 15) and providers (n = 8) completed post-implementation qualitative interviews. Results showed that IPC-3 filled a gap in the system of mental health care for refugees and migrants in Peru. Some adaptations were made to IPC-3 to promote its relevance to the population and context. Non-specialist providers developed the skills and confidence to provide IPC-3 competently. Clients displayed large reductions in symptoms of depression (d = 1.1), anxiety (d = 1.4), post-traumatic stress (d = 1.0), and functional impairment (d = 0.8). Remote delivery of IPC-3 by non-specialists appears to be a feasible, acceptable, and appropriate strategy to address gaps and improve efficiency within the mental health system and warrants testing in a fully powered effectiveness study.

Community Health Recommendations Driven by mHealth Population Surveillance Data Amongst Burmese Displaced People in Eastern India: A Pilot Usability Assessment of a Mobile Health Application for Data Collection

With recent increases in armed conflict and forced migration, refugee health has become a growing priority amongst those who work in global health. Refugees and forced migrants, also known as displaced persons, face barriers to accessing health services and are often at an increased risk for adverse health outcomes, such as sexual violence, infectious diseases, poor maternal outcomes, and mental health concerns. Mobile health (mHealth) applications have been shown to increase access and improve health outcomes among refugee populations. Our study aims to evaluate the feasibility of using a novel mHealth application to conduct population health surveillance data collection amongst a population of Myanmar citizens who have been forced to relocate to eastern India. The data collected in a low-resource setting through the mHealth application will be used to identify priority areas for intervention which will assist in the development of a tailored intervention plan that best suits our population.

The consequences of the COVID-19 pandemic on the refugee population: a rapid review

AIMS

This is a rapid review examining the available evidence about the repercussions of the COVID-19 pandemic on the refugee population.

METHODS

A search in the databases such as PubMed, Scopus, CINAHL, PsycINFO, and Web of Science was conducted and all relevant original articles, letters, and editorial and policy papers were included.

RESULTS

From 208 publications matching the search criteria, 36 were included. These publications were categorized into three distinct domains: Public Health, Policies and Financing, and Technology. Our findings revealed that the situation of the refugee population has worsened during the pandemic. Difficulty accessing healthcare, violation of human rights, lack of access to technology devices, unfavorable government policies, and economic crisis were the most important aspects impacted by COVID-19.

CONCLUSION

Governments, health managers, health professionals, and policy makers should be aware of refugees' problems during the pandemic to provide immediate solutions.

Perceptions of the SARS-CoV2 pandemic: a small comparative survey analysis between language preference populations in a United States community health center

In 2019, a new variant of coronavirus, SARS-CoV-2 (COVID-19) created a global pandemic that has highlighted and exacerbated health disparities. Educating the general public about COVID-19 is one of the primary mitigation strategies amongst health professionals. English is not the preferred language for an estimated 22% of the United States population making effective mass communication efforts difficult to achieve. This study seeks to understand and compare several topics surrounding COVID-19 health communication and healthcare disparities between individuals with English language preference (ELP) and non-English language preference (NELP) within the United States. A survey available in seven languages asking about knowledge and opinions on COVID-19, vaccines, preferred sources of health information, and other questions, was administered February-April 2021 to patients at an urban federally qualified health center that also serves global refugees and immigrants. Descriptive statistics and comparative analysis were performed to identify differences between ELP and NELP individuals. Analysis of 144 surveys, 33 of which were NELP, showed 90.97% of all patients agreed that COVID-19 was a serious disease and 66.67% would receive the COVID-19 vaccine. There were numerous differences between ELP and NELP individuals, including trust in government, symptom identification, preferred source of health information, and feelings that cultural needs had been met. This study has identified several significant differences in patient perceptions relating to the COVID-19 pandemic when comparing NELP to ELP and highlighted areas where improvement can occur. Applying this information, easily utilized targeted resources can be created to quickly intervene and address health disparities among patients seeking care at an urban community health center.

Tackling the COVID-19 infodemic among Syrian refugees in Lebanon: Development and evaluation of the "Wikaytek" tool

Objective

The COVID-19 infodemic has been a global public health challenge, especially affecting vulnerable populations such as Syrian refugees with limited internet access and functional, health, digital, and media literacies. To address this problem, we developed Wikaytek, a software to diffuse reliable COVID-19 information using WhatsApp, the preferred communication channel among Syrian refugees. In this paper, we describe the systematic development of the tool.

Methods

We undertook a pilot study guided by the Humanitarian Engineering Initiative (HEI)'s user-centered design framework, comprising five stages: (a) user research, including needs assessment and desk review of interventions with target users; (b) concept design based on platform and source selection, message format, concept testing, and architecture design; (c) prototyping and implementation, encompassing software development and system operation; (d) user testing (alpha and beta); and (e) evaluation through software analytics and user interviews. We reported a qualitative process evaluation.

Results

Wikaytek scrapes validated and reliable COVID-19-related information from reputable sources on Twitter, automatically translates it into Arabic, attaches relevant media (images/video), and generates an audio format using Google text-to-speech. Then, messages are broadcast to WhatsApp. Our evaluation shows that users appreciate receiving "push" information from reliable sources they can trust and prefer the audio format over text.

Conclusions

Wikaytek is a useful and well-received software for diffusing credible information on COVID-19 among Syrian refugees with limited literacy, as it complements the texts with audio messages. The tool can be adapted to diffuse messages about other public health issues among vulnerable communities, extending its scope and reach in humanitarian settings.

Governing digital health for infectious disease outbreaks

ABSTRACTHow can governing digital health for infectious disease outbreaks be enhanced? In many ways, the COVID-19 pandemic has simultaneously represented both the potential and marked limitations of digital health practices for infectious disease outbreaks. During the pandemic's initial stages, states along with Big Data and Big Tech actors unleashed a scope of both established and experimental digital technologies for tracking infections, hospitalisations, and deaths from COVID-19 - and sometimes exposure to the virus SARS-CoV-2. Despite the proliferation of these technologies at the global level, transnational and cross-border integration, and cooperation within digital health responses to COVID-19 often faltered, while digital health regulations were fragmented, contested, and uncoordinated. This article presents a critiquing reflection of approaches to conceptualising, understanding, and implementing digital health for infectious disease outbreaks, observed from COVID-19 and previous examples. In assessing the strengths and limitations of existing practices of governing digital health for infectious disease outbreaks, this article particularly examines 'informal' digital health to build upon and consider how digitised responses to addressing and governing infectious disease outbreaks may be reconceptualised, revisited, or revised.

The role of digital innovation in improving healthcare quality in extreme adversity: an interpretative phenomenological analysis study

Background

High quality is a necessary feature of healthcare delivery. Healthcare quality challenges are particularly present in conditions of extreme adversity, such as conflict settings or sustained humanitarian crises. Digital health technologies have recently emerged as an innovation to deliver care around the world in a variety of settings. However, there is little insight into how digital health technologies can be used to improve the quality of care where extreme adversity introduces unique challenges. This study aimed to identify how digital health technologies may be most impactful in improving the quality of care and evaluate opportunities for accelerated and meaningful digital innovation in adverse settings.

Methods

A phenomenological approach (Interpretative Phenomenological Approach [IPA]), using semi-structured interviews, was adopted. Six individuals were interviewed in person based on their expertise in global health, international care delivery, and the application of digital health technologies to improve the quality of care in extreme adversity settings. The interviews were informed by a semi-structured topic guide with open-ended questions. The transcripts were compiled verbatim and were systematically examined by two authors, using the framework analysis method to extract themes and subthemes.

Results

The participants identified several areas in which digital health technologies could be most impactful, which include engagement in care, continuity of care, workforce operations, and data collection. Opportunities for accelerated digital innovation include improving terminology, identity, ownership, and interoperability, identifying priority areas for digital innovation, developing tailored solutions, coordination and standardisation, and sustainability and resilience.

Conclusions

These results suggest that there are conditions that favour or challenge the application of digital health technologies, even in specific areas in which they could be useful. A better understanding of the drivers and barriers to digitally driven quality improvement in settings of extreme adversity could inform international policies and optimisation strategies for the future.

Telehealth and Artificial Intelligence Insights into Healthcare during the COVID-19 Pandemic

Soon after the coronavirus disease 2019 pandemic was proclaimed, digital health services were widely adopted to respond to this public health emergency, including comprehensive monitoring technologies, telehealth, creative diagnostic, and therapeutic decision-making methods. The World Health Organization suggested that artificial intelligence might be a valuable way of dealing with the crisis. Artificial intelligence is an essential technology of the fourth industrial revolution that is a critical nonmedical intervention for overcoming the present global health crisis, developing next-generation pandemic preparation, and regaining resilience. While artificial intelligence has much potential, it raises fundamental privacy, transparency, and safety concerns. This study seeks to address these issues and looks forward to an intelligent healthcare future based on best practices and lessons learned by employing telehealth and artificial intelligence during the COVID-19 pandemic.