Artificial intelligence and digital health in global eye health: opportunities and challenges.

Global eye health is defined as the degree to which vision, ocular health, and function are maximised worldwide, thereby optimising overall wellbeing and quality of life. Improving eye health is a global priority as a key to unlocking human potential by reducing the morbidity burden of disease, increasing productivity, and supporting access to education. Although extraordinary progress fuelled by global eye health initiatives has been made over the last decade, there remain substantial challenges impeding further progress. The accelerated development of digital health and artificial intelligence (AI) applications provides an opportunity to transform eye health, from facilitating and increasing access to eye care to supporting clinical decision making with an objective, data-driven approach. Here, we explore the opportunities and challenges presented by digital health and AI in global eye health and describe how these technologies could be leveraged to improve global eye health. AI, telehealth, and emerging technologies have great potential, but require specific work to overcome barriers to implementation. We suggest that a global digital eye health task force could facilitate coordination of funding, infrastructural development, and democratisation of AI and digital health to drive progress forwards in this domain.

The contribution of community health systems to resilience: Case study of the response to the 2015 earthquake in Nepal.

Methods: Key informant interviews and focus group discussions were utilised. Participants included FCHVs, primary healthcare workers, community leaders and mothers, district health managers, representatives from the Ministry of Health and Population, multilateral health organisations, bilateral development partners, local non-governmental organisations, community-based organisations, and international non-governmental organisations. We used thematic content analysis to identify emerging themes. Results: Seventy-seven people participated in the study in September 2016 from communities (n = 53, 69%), districts (n = 8, 10%), and national levels (n = 16, 21%). Strong coordination, international and national support, and community engagement and participation were reported as successes of the earthquake response. Challenges included a lack of preparedness and supplies, a lack of earthquake-resistant infrastructure, and the centralisation of the response. FCHVs continued to work, despite being victims of the earthquake themselves. Facilitators of the continuation of the FCHVs' duties included their strong ties with the communities and facilities, international support, and the ability to mobilise existing community resources. Barriers included fear, communities' attitudes, high workloads, large geographic distances, and difficult geography. Participants identified the importance of having strong, connected, and supported communities, adaptable funding and policies, and decentralised decision-making within strong health systems. Conclusions: Building resilience in community-based health systems must start with strong communities that are prepared, trained, equipped, and empowered. Health systems must be decentralised and adaptable, with strong coordination and leadership. Capable community health workers such as FCHVs were an important part of building resilience during the earthquake. These lessons can assist countries in strengthening decentralised health systems to better respond to a multitude of shocks, while still providing essential health services for communities.

Health System Considerations for Community-Based Implementation of Automated Respiratory Counters to Identify Childhood Pneumonia in 5 Regions of Ethiopia: A Qualitative Study.

BACKGROUND: In Ethiopia, childhood pneumonia is diagnosed in primary healthcare settings by measuring respiratory rate (RR) along with the presence of cough, chest indrawing, difficulty breathing, and fast breathing. Our aim was to identify health system-level lessons from implementing two automated RR counters, Children's Automated Respiration Monitor (ChARM) by Phillips® and Rad-G by Masimo®, to provide considerations for integrating such devices into child health programmes and health systems. This study was part of an initiative called the Acute Respiratory Infection Diagnostic Aids (ARIDA). METHODS: Key informant interviews (KIIs) were conducted with 57 participants (health workers in communities and facilities, trainers of health workers, district management, and key decision-makers) in five regions of Ethiopia. Data were analyzed in ATLAS.ti using thematic content analysis and themes were categorized using the Tanahashi bottleneck analysis. RESULTS: All participants recommended scaling up the ARIDA initiative nationally as part of Integrated Management of Newborn and Childhood Illness (IMNCI) in primary healthcare. Health workers perceived the devices as: time saving, acceptable by parents and children, and facilitating diagnosis and referrals. Health workers perceived an increased demand for services and reduced numbers of sick children not seeking care. Participants recommended increasing the number of devices distributed and health workers trained. Strengthening drug supply chains, improving oxygen gas availability, and strengthening referral networks would maximize perceived benefits. While training improved knowledge, more supportive supervision, integration with current guidelines and more guidance related to community engagement was recommended. CONCLUSION: Automatic RR counters for the decentralized diagnosis of childhood pneumonia could have positive impact on improving the quality of diagnosis and management of pneumonia in children. However, the study has shown that a health system approach is required to ensure all steps along the pneumonia pathway are adequate, including drug and oxygen supply, community engagement, health worker training and support, and referral pathways.

The contribution of community health systems to resilience: Case study of the response to the drought in Ethiopia.

Background: Ethiopia's exposure to the El Niño drought (2015-2016) resulted in high malnutrition, internally displaced people, and epidemics of communicable diseases, all of which strained the health system. The drought was especially challenging for mothers and children. We aimed to identify salient factors that can improve health system resilience by exploring the successes and challenges experienced by a community-based health system during the drought response. Methods: We collected data via key informant interviews and focus group discussions to capture diverse perspectives across the health system (eg, international, national, district, facility, and community perspectives). Data were collected from communities in drought-affected regions of: 1) Somali, Sitti Zone, 2) Hawassa, Southern Nations, Nationalities, and Peoples' Region (SNNPR), and 3) Tigray, Eastern Zone. Data were analysed using a deductive-inductive approach using thematic content analysis applied to a conceptual framework. Results: A total of 94 participants were included (71 from the communities and 23 from other levels). Key themes included the importance of: 1) organized community groups linked to the health system, 2) an effective community health workforce within strong health systems, 3) adaptable human resource structures and service delivery models, 4) training and preparedness, and 5) strong government leadership with decentralized decision making. Conclusions: The results of this study provide insights from across the health system into the successes and challenges of building resilience in community-based health systems in Ethiopia during the drought. As climate change exacerbates extreme weather events, further research is needed to understand the determinants of building resilience from a variety of shocks in multiple contexts, especially focusing on harnessing the power of communities as reservoirs of resilience.

Usability and acceptability of a multimodal respiratory rate and pulse oximeter device in case management of children with symptoms of pneumonia: A cross-sectional study in Ethiopia.

AIM: Pneumonia is the leading infectious cause of death among children under five globally. Many pneumonia deaths result from inappropriate treatment due to misdiagnosis of signs and symptoms. This study aims to identify whether health extension workers (HEWs) in Ethiopia, using an automated multimodal device (Masimo Rad-G), adhere to required guidelines while assessing and classifying under five children with cough or difficulty breathing and to understand device acceptability. METHODS: A cross-sectional study was conducted in three districts of Southern Nations, Nationalities, and Peoples' Region, Ethiopia. Between September and December 2018, 133 HEWs were directly observed using Rad-G while conducting 599 sick child consultations. Usability was measured as adherence to the World Health Organization requirements to assess fast breathing and device manufacturer instructions for use. Acceptability was assessed using semi-structured interviews with HEWs, first-level health facility workers and caregivers. RESULTS: Adherence using the Rad-G routinely for 2 months was 85.3% (95% CI 80.2, 89.3). Health workers and caregivers stated a preference for Rad-G. Users highlighted a number of device design issues. CONCLUSION: While demonstrating high levels of acceptability and usability, the device modifications to consider include better probe fit, improved user interface with exclusive age categories and simplified classification outcomes.

Automated Respiratory Rate Counter to Assess Children for Symptoms of Pneumonia: Protocol for Cross-Sectional Usability and Acceptability Studies in Ethiopia and Nepal.

BACKGROUND: Manually counting a child's respiratory rate (RR) for 60 seconds using an acute respiratory infection timer is the World Health Organization (WHO) recommended method for detecting fast breathing as a sign of pneumonia. However, counting the RR is challenging and misclassification of an observed rate is common, often leading to inappropriate treatment. To address this gap, the acute respiratory infection diagnostic aid (ARIDA) project was initiated in response to a call for better pneumonia diagnostic aids and aimed to identify and assess automated RR counters for classifying fast breathing pneumonia when used by front-line health workers in resource-limited community settings and health facilities. The Children's Automated Respiration Monitor (ChARM), an automated RR diagnostic aid using accelerometer technology developed by Koninklijke Philips NV, and the Rad-G, a multimodal RR diagnostic and pulse oximeter developed by Masimo, were the two devices tested in these studies conducted in the Southern Nations, Nationalities, and Peoples' Region in Ethiopia and in the Karnali region in Nepal. OBJECTIVE: In these studies, we aimed to understand the usability of two new automated RR diagnostic aids for community health workers (CHWs; health extension workers [Ethiopia] and female community health volunteers [Nepal]) and their acceptability to CHWs in Ethiopia and Nepal, first-level health facility workers (FLHFWs) in Ethiopia only, and caregivers in both Ethiopia and Nepal. METHODS: This was a prospective, cross-sectional study with a mixed methods design. CHWs and FLHFWs were trained to use both devices and provided with refresher training on all WHO requirements to assess fast breathing. Immediately after training, CHWs were observed using ARIDA on two children. Routine pneumonia case management consultations for children aged 5 years and younger and the device used for these consultations between the first and second consultations were recorded by CHWs in their patient log books. CHWs were observed a second time after 2 months. Semistructured interviews were also conducted with CHWs, FLHFWs, and caregivers. The proportion of consultations with children aged 5 years and younger where CHWs using an ARIDA and adhered to all WHO requirements to assess fast breathing and device manufacturer instructions for use after 2 months will be calculated. Qualitative data from semistructured interviews will be analyzed using a thematic framework approach. RESULTS: The ARIDA project was funded in November 2015, and data collection was conducted between April and December 2018. Data analysis is currently under way and the first results are expected to be submitted for publication in 2020. CONCLUSIONS: This is the first time the usability and acceptability of automated RR counters in low-resource settings have been evaluated. Outcomes will be relevant for policy makers and are important for future research of this new class of diagnostic aids for the management of children with suspected pneumonia. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/14405.

Usability and acceptability of an automated respiratory rate counter to assess children for symptoms of pneumonia: A cross-sectional study in Ethiopia.

AIM: Manually counting respiratory rate (RR) is commonly practiced by community health workers to detect fast breathing, an important sign of childhood pneumonia. Correctly counting and classifying breaths manually is challenging, often leading to inappropriate treatment. This study aimed to determine the usability of a new automated RR counter (ChARM) by health extension workers (HEWs), and its acceptability to HEWs, first-level health facility workers (FLHFWs) and caregivers in Ethiopia. METHODS: A cross-sectional study was conducted in one region of Ethiopia between May and August 2018. A total of 131 HEWs were directly observed conducting 262 sick child consultations after training and 337 after 2 months. Usability was measured as adherence to the WHO requirements to assess fast breathing and device manufacturer instructions for use (IFU). Acceptability was measured through semi-structured interviews. RESULTS: After 2 months, HEWs were shown to adhere to the requirements in 74.6% consultations; an increase of 18.6% after training (P < .001). ChARM is acceptable to users and caregivers, with HEWs suggesting that ChARM increased client flow and stating a willingness to use ChARM in future. CONCLUSION: Further research on the performance, cost-effectiveness and implementation of this device is warranted to inform policy decisions in countries with a high childhood pneumonia burden.

Health care workers' perceptions of point-of-care testing in a low-income country-A qualitative study in Southwestern Uganda.

BACKGROUND: Point-of-care (POC) tests have become increasingly available and more widely used in recent years. They have been of particular importance to low-income settings, enabling them with clinical capacities that had previously been limited. POC testing programs hold a great potential for significant improvement in low-income health systems. However, as most POC tests are developed in high-income countries, disengagement between developers and end-users inhibit their full potential. This study explores perceptions of POC test end-users in a low-income setting, aiming to support the development of novel POC tests for low-income countries. METHODS: A qualitative study was conducted in Mbarara District, Southwestern Uganda, in October 2014. Fifty health care workers were included in seven focus groups, comprising midwives, laboratory technicians, clinical and medical officers, junior and senior nurses, and medical doctors. Discussions were audio-recorded and transcribed verbatim. Transcripts were coded through a data-driven approach for qualitative content analysis. RESULTS: Nineteen different POC tests were identified as currently being in use. While participants displayed being widely accustomed to and appreciative of the use of POC tests, they also assessed the use and characteristics of current tests as imperfect. An ideal POC test was characterized as being adapted to local conditions, thoughtfully implemented in the specific health system, and capable of improving the care of patients. Tests for specific medical conditions were requested. Opinions differed with regard to the ideal distribution of POC tests in the local health system. CONCLUSION: POC tests are commonly used and greatly appreciated in this study setting. However, there are dissatisfactions with current POC tests and their use. To maximize benefit, stakeholders need to include end-user perspectives in the development and implementation of POC tests. Insights from this study will influence our ongoing efforts to develop POC tests that will be particularly usable in low-income settings.