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Advancements in artificial intelligence (AI) for point-of-care ultrasound (POCUS) have ushered in new possibilities for medical diagnostics in low-resource settings. This review explores the current landscape of AI applications in POCUS across these environments, analyzing studies sourced from three databases-SCOPUS, PUBMED, and Google Scholars. Initially, 1196 records were identified, of which 1167 articles were excluded after a two-stage screening, leaving 29 unique studies for review. The majority of studies focused on deep learning algorithms to facilitate POCUS operations and interpretation in resource-constrained settings. Various types of low-resource settings were targeted, with a significant emphasis on low- and middle-income countries (LMICs), rural/remote areas, and emergency contexts. Notable limitations identified include challenges in generalizability, dataset availability, regional disparities in research, patient compliance, and ethical considerations. Additionally, the lack of standardization in POCUS devices, protocols, and algorithms emerged as a significant barrier to AI implementation. The diversity of POCUS AI applications in different domains (e.g., lung, hip, heart, etc.) illustrates the challenges of having to tailor to the specific needs of each application. By separating out the analysis by application area, researchers will better understand the distinct impacts and limitations of AI, aligning research and development efforts with the unique characteristics of each clinical condition. Despite these challenges, POCUS AI systems show promise in bridging gaps in healthcare delivery by aiding clinicians in low-resource settings. Future research endeavors should prioritize addressing the gaps identified in this review to enhance the feasibility and effectiveness of POCUS AI applications to improve healthcare outcomes in resource-constrained environments.

The neuropalliative approach in a hospital setting for neuromuscular disorders is essentially multidisciplinary in focus and involves co-ordinated interventions. This case report describes an intensive case management approach through telehealth services provided from a hospital context in South India for psychosocial interventions for an adolescent with Duchenne Muscular Dystrophy. Case management interventions during the COVID-19 pandemic were provided through sixteen sessions over the telephone, focusing on need assessment, service plan development, implementation, co-ordination, and monitoring. Major strategies were crisis management, supportive psychotherapy, and cognitive-behavioural strategies. Adaptations made to meet the challenges of the COVID-19 pandemic using telehealth facilities can be incorporated into routine clinical practice in low-resource settings. IMPLICATIONS Telehealth, which emerged as a viable option for providing effective psychosocial care during the COVID 19 pandemic, could be adopted to complement routine clinical care in low-resource settings. [ABSTRACT FROM AUTHOR]

Background: Paediatric critical care nurses face challenges in promptly detecting patient deterioration and delivering high-quality care, especially in low-resource settings (LRS). Patient monitors equipped with data-driven algorithms that monitor and integrate clinical data can optimise scarce resources (e.g. trained staff) offering solutions to these challenges. Poor algorithm output design and workflow integration, however, are important factors hindering successful implementation. This study aims to explore nurses' perspectives to inform the development of a data-driven algorithm and user-friendly interface for future integration into a continuous vital signs monitoring system for critical care in LRS. Methods: Human-centred design methods, including contextual inquiry, semi-structured interviews, prototyping and co-design sessions, were carried out at the high-dependency units of Queen Elizabeth Central Hospital and Zomba Central Hospital in Malawi between March and July 2023. Triangulating these methods, we identified what algorithm could assist nurses and used co-creation methods to design a user interface prototype. Data were analysed using qualitative content analysis. Results: Workflow observations demonstrated the effects of personnel shortages and limited monitor equipment for vital signs monitoring. Interviews identified four themes: workload and workflow, patient prioritisation, interaction with guardians, and perspectives on data-driven algorithms. The interviews emphasised the advantages of predictive algorithms in anticipating patient deterioration, underlining the need to integrate the algorithm's output, the (constant) monitoring data, and the patient's present clinical condition. Nurses preferred a scoring system represented with familiar scales and colour codes. During co-design sessions, trust, usability and context specificity were emphasised as requirements for these algorithms. Four prototype components were examined, with nurses favouring scores represented by colour codes and visual representations of score changes. Conclusions: Nurses in the LRS studied, perceived that data-driven algorithms, especially for predicting patient deterioration, could improve the provision of critical care. This can be achieved by translating nurses' perspectives into design strategies, as has been carried out in this study. The lessons learned were summarised as actionable pre-implementation recommendations for the development and implementation of data-driven algorithms in LRS. [ABSTRACT FROM AUTHOR]

Summary: Background: Skilled facilitators are essential to drive effective simulation training in healthcare. Competency‐based frameworks support the development of facilitation skills but, to our knowledge, there are no frameworks that specifically address context‐sensitive priorities developed with practitioners working in low‐resource settings. Methods: We aimed to develop a core competency framework for healthcare simulation facilitation in low‐resource settings using a modified Delphi process. We drew on the domain expertise of members of the Vital Anaesthesia Simulation Training Community of Practice, with the study guided by a four‐member steering group experienced in the conduct of simulation in low‐resource settings. In survey round 1, participants (n = 54) were presented with an initial competency set derived from a previous qualitative study and co‐created a set of 57 competencies for effective simulation facilitation in low‐resource settings. In survey round 2, participants (n = 52) ranked competencies by relevance into three performance categories: techniques; artistry; and values. In survey round 3, participants (n = 50) ranked competencies on their importance. The steering group collated results and presented a draft core competency framework. In survey round 4, participants (n = 50) voted with 98% agreement that this framework represented the most relevant and important competencies for effective facilitation of simulation sessions in low‐resource settings. Results: The final 32‐item framework encompasses core competencies found in existing standards and includes important new concepts such as demonstration of cultural sensitivity; humility; ability to recognise and respond to potential language barriers; facilitation team collaboration; awareness of logistics; and contingency planning. Discussion: This competency‐based framework highlights specific practices required for effective simulation facilitation in low‐resource settings. Further work is required to refine and validate this tool to train simulation facilitators to deliver effective training to improve patient safety. [ABSTRACT FROM AUTHOR]

Background: The healthcare sector is rapidly evolving with the rise of digital technology and data-driven decision-making. However, traditional medical education has yet to fully integrate training on managing health-related information, resulting in a significant skills gap among medical and research professionals. This gap is pronounced in low- and middle-income countries (LMICs), where data privacy concerns and inadequate infrastructure hinder efforts to utilise and share health data. Aims: To address this gap, we developed an online, modular course aimed at providing foundational skills on capturing, storing and sharing health data. Methods: The course was developed using the ADDIE(Analyze, Design, Develop, Implement, Evaluate) instructional design model. A needs assessment workshop involving 25 global health proffesionals identified key training gaps which informed the curriculum's development. A multidisciplinary team from six institutions developed the modules. The course was piloted in a face-to-face setting with 37 participants and later adapted for online delivery via the Global Health Network platform. We evaluated the course using Level 1 of Kirkpatrick's model for training evaluation. Results: Six foundational modules were developed: Introduction to Data Management, Data Quality, Data Repositories, Ethics of Data Sharing, Data Governance, and Costing for Data Management. Between December 2020 and April 2024, 6,384 individuals from 90 countries completed the course. Of these, 32% were from Africa, 15% from Asia, 16% from South/Central America and the Caribbean, and 24% from Europe. Summative evaluations, based on voluntary post-module surveys, demonstrated high relevance to participants' learning needs (96.6%) and strong intentions to apply the skills gained (88.3%). Key motivators for enrollment included the course's free access, relevance to professional or academic needs, and trust in the organizations and authors behind the content. Conclusions: The high enrolment and broad geographical reach demonstrates the potential of online training as a cost-effective tool to equip health practitioners and researchers with data literacy skills. Future evaluations will assess its impact on participants' knowledge, behavior, and data-sharing and reuse practices. [ABSTRACT FROM AUTHOR]

Background: Cholera continues to be a major public health threat, especially in regions with poor sanitation and limited access to clean water. Accurate prediction and management of cholera outbreaks are essential to reduce mortality and morbidity. This review focuses on the potential of polymerase chain reaction (PCR) cycle threshold (Ct) values as an innovative tool for early detection and control of cholera outbreaks, specifically highlighting its utility in predicting outbreaks and guiding public health responses. PCR Ct values offer a significant advantage in the early detection of Vibrio cholerae, the pathogen responsible for cholera, in both clinical and environmental samples. By providing quantitative data on bacterial load, lower Ct values indicate a higher concentration of the pathogen, signaling the potential for increased disease transmission. These values allow for more precise, real-time monitoring of cholera outbreaks and aid in targeting intervention strategies such as water sanitation improvements, vaccination campaigns, and antibiotic treatments. Moreover, the application of Ct values in environmental surveillance, particularly in monitoring water sources, offers a proactive approach to prevent the spread of cholera by identifying contamination risks before human cases arise. However, the implementation of PCR in low-resource settings faces significant challenges, including high costs, the need for advanced laboratory infrastructure, and a lack of technical expertise. Addressing these barriers through cost-effective innovations and capacity building initiatives is crucial for optimizing the use of PCR Ct values in cholera management. Conclusion: PCR Ct values hold great promise for improving cholera outbreak prediction and control. Despite challenges in adopting this technology in resource-limited settings, the integration of Ct value monitoring into public health frameworks can enhance early detection efforts and contribute to more effective cholera management strategies. [ABSTRACT FROM AUTHOR]

Abstract Background Paediatric critical care nurses face challenges in promptly detecting patient deterioration and delivering high-quality care, especially in low-resource settings (LRS). Patient monitors equipped with data-driven algorithms that monitor and integrate clinical data can optimise scarce resources (e.g. trained staff) offering solutions to these challenges. Poor algorithm output design and workflow integration, however, are important factors hindering successful implementation. This study aims to explore nurses’ perspectives to inform the development of a data-driven algorithm and user-friendly interface for future integration into a continuous vital signs monitoring system for critical care in LRS. Methods Human-centred design methods, including contextual inquiry, semi-structured interviews, prototyping and co-design sessions, were carried out at the high-dependency units of Queen Elizabeth Central Hospital and Zomba Central Hospital in Malawi between March and July 2023. Triangulating these methods, we identified what algorithm could assist nurses and used co-creation methods to design a user interface prototype. Data were analysed using qualitative content analysis. Results Workflow observations demonstrated the effects of personnel shortages and limited monitor equipment for vital signs monitoring. Interviews identified four themes: workload and workflow, patient prioritisation, interaction with guardians, and perspectives on data-driven algorithms. The interviews emphasised the advantages of predictive algorithms in anticipating patient deterioration, underlining the need to integrate the algorithm’s output, the (constant) monitoring data, and the patient’s present clinical condition. Nurses preferred a scoring system represented with familiar scales and colour codes. During co-design sessions, trust, usability and context specificity were emphasised as requirements for these algorithms. Four prototype components were examined, with nurses favouring scores represented by colour codes and visual representations of score changes. Conclusions Nurses in the LRS studied, perceived that data-driven algorithms, especially for predicting patient deterioration, could improve the provision of critical care. This can be achieved by translating nurses’ perspectives into design strategies, as has been carried out in this study. The lessons learned were summarised as actionable pre-implementation recommendations for the development and implementation of data-driven algorithms in LRS.

Abstract Background Cholera continues to be a major public health threat, especially in regions with poor sanitation and limited access to clean water. Accurate prediction and management of cholera outbreaks are essential to reduce mortality and morbidity. This review focuses on the potential of polymerase chain reaction (PCR) cycle threshold (Ct) values as an innovative tool for early detection and control of cholera outbreaks, specifically highlighting its utility in predicting outbreaks and guiding public health responses. Main body of abstract PCR Ct values offer a significant advantage in the early detection of Vibrio cholerae, the pathogen responsible for cholera, in both clinical and environmental samples. By providing quantitative data on bacterial load, lower Ct values indicate a higher concentration of the pathogen, signaling the potential for increased disease transmission. These values allow for more precise, real-time monitoring of cholera outbreaks and aid in targeting intervention strategies such as water sanitation improvements, vaccination campaigns, and antibiotic treatments. Moreover, the application of Ct values in environmental surveillance, particularly in monitoring water sources, offers a proactive approach to prevent the spread of cholera by identifying contamination risks before human cases arise. However, the implementation of PCR in low-resource settings faces significant challenges, including high costs, the need for advanced laboratory infrastructure, and a lack of technical expertise. Addressing these barriers through cost-effective innovations and capacity building initiatives is crucial for optimizing the use of PCR Ct values in cholera management. Conclusion PCR Ct values hold great promise for improving cholera outbreak prediction and control. Despite challenges in adopting this technology in resource-limited settings, the integration of Ct value monitoring into public health frameworks can enhance early detection efforts and contribute to more effective cholera management strategies.

OBJECTIVE: This scoping review aims to contribute a descriptive analysis of the craniomaxillofacial trauma (CMF trauma) literature in low- and middle-income countries (LMICs) to identify knowledge gaps, direct future research, and inform policy. DATA SOURCES: PubMed/MEDLINE, Cochrane Review, EMBASE, ClinicalTrials.gov, and Google Scholar from January 1, 2012 to December 10, 2023. REVIEW METHODS: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guided reporting, and the PRISMA flowchart documented database searches. Specific, predefined search terms and inclusion criteria were used for screening, and the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist was used for quality assessment. The search yielded 54 articles, with 13 meeting the inclusion criteria. Key findings were summarized and divided into 7 categories. RESULTS: There were 10,420 patients (7739 [74.3%] male, 2681 [25.7%] female) with a male-to-female ratio of 2.9:1. The mean peak age of incidence of CMF trauma was 30.8 years, ranging from 20 to 40 years. Road traffic accidents were the leading cause (60.4%), followed by assault (27.2%) and falls (12.2%). The most common injuries were soft tissue injury (31.7%), isolated mandibular fracture (22.8%), and isolated middle-third of mandible fracture (18.1%). The most common treatments were closed reduction and immobilization (29.5%), conservative management (27.6%), and open reduction and internal fixation (19.6%). Most patients (77.8%) experienced a treatment delay due to a lack of fixation materials (54.8%) or surgeon unavailability (35.7%). CONCLUSION: CMF trauma remains a significant cause of global morbidity, yet there remains a lack of high-quality, CMF trauma-specific data in LMICs. Country-specific investigations are required to enhance knowledge and inform novel interventions. Implementing policy change must be community-specific and account for unique cultural barriers, attitudes, and behaviors to maximize patient care outcomes.

Abstract Background The chasm between rehabilitation needs and available rehabilitation services is widening. In most low-resource contexts, there are inadequate rehabilitation professionals at primary health care (PHC), leaving nonrehabilitation primary care providers’ (PCPs) and district rehabilitation professionals and managers to address patients’ rehabilitation needs. This study explored rehabilitation and non-rehabilitation PCPs’ and managers’ perspectives on the situation of rehabilitation service provision in PHC settings and the challenges experienced in providing rehabilitation care. Methods In this descriptive, exploratory qualitative study, individual semi-structured interviews and focus group discussions were conducted with purposefully sampled PCPs in Manicaland, Zimbabwe and Eastern Cape, South Africa. The transcripts were analysed thematically using Atlas.ti. version 22.2®. Results Thirty-six PCPs (29 nonrehabilitation and 7 rehabilitation) and one district manager participated in the study. The current PHC rehabilitation services in the two low-resource contexts were described as inadequate, if not nonexistent. District rehabilitation professionals attempted to fill the gap through outreach and home visits, but resource limitations, particularly in Zimbabwe, often hampered this strategy. The nonrehabilitation PCPs took on task-shifting roles in the identification, referral, and education of patients with rehabilitation needs in the absence of rehabilitation professionals at PHC. Challenges encountered in providing rehabilitation care at PHC included unsupportive leadership, human resource shortages, lack of comprehensive PHC rehabilitation guidelines, no or delayed rehabilitation referral, lack of clear communication strategies, and users’ low demand for PHC rehabilitation. Conclusion Tailored approaches, including context-specific rehabilitation guidance for existing task-shifting models, increased investment in rehabilitation and increased rehabilitation awareness, are needed to establish basic rehabilitation services in the described contexts because they are mostly absent. Importantly, the PHC systems in which rehabilitation is to be nested need to be strengthened.

Abstract Introduction Evaluation of implementation strategies is core to implementation trials, but implementation strategies often deviate from the original plan to adjust to the real-world conditions. The optimal approach to track modifications to implementation strategies is unclear, especially in low-resource settings. Using data from an implementation trial for people who inject drugs (PWID) with HIV in Vietnam, we describe the tracking of implementation strategy modifications and present findings of this process. Methods SNaP (Systems Navigation and Psychosocial Counseling) is a hybrid type-III effectiveness-implementation randomized controlled trial aiming to scale up the evidence-based intervention, integrated systems navigation and psychosocial counseling, for PWID with HIV in Vietnam. Forty-two HIV testing sites were randomized 1:1 to a standard or tailored arm. While the standard arm (SA) received a uniform package of strategies, implementation strategies for the tailored arm (TA) were tailored to address specific needs of each site. The central research team also met monthly with the TA to document how their tailored strategies were implemented over time. Five components were involved in the tracking process: describing the planned strategies; tracking strategy use; monitoring barriers and solutions; describing modifications; and identifying and describing any additional strategies. Results Our approach allowed us to closely track the modifications to implementation strategies in the tailored arms every month. TA sites originally identified 27 implementation strategies prior to implementation. During implementation, five strategies were dropped by four sites and two new strategies were added to twelve sites. Modifications of five strategies occurred at four sites to accommodate their changing needs and resources. Difficulties related to the COVID-19 pandemic, low number of participants recruited, high workload at the clinic, lack of resources for HIV testing and high staff turnover were among barriers of implementing the strategies. A few challenges to tracking modifications were noted, including the considerable amount of time and efforts needed as well as the lack of motivation from site staff to track and keep written documentations of modifications. Conclusions We demonstrated the feasibility of a systematic approach to tracking implementation strategies for a large-scale implementation trial in a low-resource setting. This process could be further enhanced and replicated in similar settings to balance the rigor and feasibility of implementation strategy tracking. Our findings can serve as additional guidelines for future researchers planning to report and track modifications to implementation strategies in large, complex trials. Trial registration : clinicaltrials.gov ID: NCT03952520 (first posted 2019-05-16).

Abstract Purpose To address the need for a pediatric surgical checklist for adult providers. Background Pediatric surgery is unique due to the specific needs and many tasks that are employed in the care of adults require accommodations for children. There are some resources for adult surgeons to perform safe pediatric surgery and to assist such surgeons in pediatric emergencies, we created a straightforward checklist based on current literature. We propose a surgical checklist as the value of surgical checklists has been validated through research in a variety of applications. Methods Literature review on PubMed to gather information on current resources for pediatric surgery, all papers on surgical checklists describing their outcomes as of October 2023 were included to prevent a biased overview of the existing literature. Interviews with multiple pediatric surgeons were conducted for the creation of a checklist that is relevant to the field and has limited bias. Results Forty-two papers with 8,529,061 total participants were included. The positive impact of checklists was highlighted throughout the literature in terms of outcomes, financial cost and team relationship. Certain care checkpoints emerged as vital checklist items: antibiotic administration, anesthetic considerations, intraoperative hemodynamics and postoperative resuscitation. The result was the creation of a checklist that is not substitutive for existing WHO surgery checklists but additive for adult surgeons who must operate on children in emergencies. Conclusion The outcomes measured throughout the literature are varied and thus provide both a nuanced view of a variety of factors that must be taken into account and are limited in the amount of evidence for each outcome. We hope to implement the checklist developed to create a standard of care for pediatric surgery performed in low resource settings by adult surgeons and further evaluate its impact on emergency pediatric surgery outcomes. Funding Fulbright Fogarty Fellowship, GHES NIH FIC D43 TW010540.

Introduction: Evaluation of implementation strategies is core to implementation trials, but implementation strategies often deviate from the original plan to adjust to the real-world conditions. The optimal approach to track modifications to implementation strategies is unclear, especially in low-resource settings. Using data from an implementation trial for people who inject drugs (PWID) with HIV in Vietnam, we describe the tracking of implementation strategy modifications and present findings of this process. Methods: SNaP (Systems Navigation and Psychosocial Counseling) is a hybrid type-III effectiveness-implementation randomized controlled trial aiming to scale up the evidence-based intervention, integrated systems navigation and psychosocial counseling, for PWID with HIV in Vietnam. Forty-two HIV testing sites were randomized 1:1 to a standard or tailored arm. While the standard arm (SA) received a uniform package of strategies, implementation strategies for the tailored arm (TA) were tailored to address specific needs of each site. The central research team also met monthly with the TA to document how their tailored strategies were implemented over time. Five components were involved in the tracking process: describing the planned strategies; tracking strategy use; monitoring barriers and solutions; describing modifications; and identifying and describing any additional strategies. Results: Our approach allowed us to closely track the modifications to implementation strategies in the tailored arms every month. TA sites originally identified 27 implementation strategies prior to implementation. During implementation, five strategies were dropped by four sites and two new strategies were added to twelve sites. Modifications of five strategies occurred at four sites to accommodate their changing needs and resources. Difficulties related to the COVID-19 pandemic, low number of participants recruited, high workload at the clinic, lack of resources for HIV testing and high staff turnover were among barriers of implementing the strategies. A few challenges to tracking modifications were noted, including the considerable amount of time and efforts needed as well as the lack of motivation from site staff to track and keep written documentations of modifications. Conclusions: We demonstrated the feasibility of a systematic approach to tracking implementation strategies for a large-scale implementation trial in a low-resource setting. This process could be further enhanced and replicated in similar settings to balance the rigor and feasibility of implementation strategy tracking. Our findings can serve as additional guidelines for future researchers planning to report and track modifications to implementation strategies in large, complex trials. Trial registration: : clinicaltrials.gov ID: NCT03952520 (first posted 2019-05-16). [ABSTRACT FROM AUTHOR]

Background: The chasm between rehabilitation needs and available rehabilitation services is widening. In most low-resource contexts, there are inadequate rehabilitation professionals at primary health care (PHC), leaving nonrehabilitation primary care providers' (PCPs) and district rehabilitation professionals and managers to address patients' rehabilitation needs. This study explored rehabilitation and non-rehabilitation PCPs' and managers' perspectives on the situation of rehabilitation service provision in PHC settings and the challenges experienced in providing rehabilitation care. Methods: In this descriptive, exploratory qualitative study, individual semi-structured interviews and focus group discussions were conducted with purposefully sampled PCPs in Manicaland, Zimbabwe and Eastern Cape, South Africa. The transcripts were analysed thematically using Atlas.ti. version 22.2®. Results: Thirty-six PCPs (29 nonrehabilitation and 7 rehabilitation) and one district manager participated in the study. The current PHC rehabilitation services in the two low-resource contexts were described as inadequate, if not nonexistent. District rehabilitation professionals attempted to fill the gap through outreach and home visits, but resource limitations, particularly in Zimbabwe, often hampered this strategy. The nonrehabilitation PCPs took on task-shifting roles in the identification, referral, and education of patients with rehabilitation needs in the absence of rehabilitation professionals at PHC. Challenges encountered in providing rehabilitation care at PHC included unsupportive leadership, human resource shortages, lack of comprehensive PHC rehabilitation guidelines, no or delayed rehabilitation referral, lack of clear communication strategies, and users' low demand for PHC rehabilitation. Conclusion: Tailored approaches, including context-specific rehabilitation guidance for existing task-shifting models, increased investment in rehabilitation and increased rehabilitation awareness, are needed to establish basic rehabilitation services in the described contexts because they are mostly absent. Importantly, the PHC systems in which rehabilitation is to be nested need to be strengthened. [ABSTRACT FROM AUTHOR]

Background: Digital health offers unprecedented opportunities to enhance health service delivery across vast geographic regions. However, these benefits can only be realized with effective capabilities and clinical leadership of the rural healthcare workforce. Little is known about how rural healthcare workers acquire skills in digital health, how digital health education or training programs are evaluated and the barriers and enablers for high quality digital health education and training. Objective: To conduct a scoping review to identify and synthesize existing evidence on digital health education and training of the rural healthcare workforce. Inclusion criteria: Sources that reported digital health and education or training in the healthcare workforce in any healthcare setting outside metropolitan areas. Methods: We searched for published and unpublished studies written in English in the last decade to August 2023. The databases searched were PubMed, Embase, Scopus, CINAHL and Education Resources Information Centre. We also searched the grey literature (Google, Google Scholar), conducted citation searching and stakeholder engagement. The JBI Scoping Review methodology and PRISMA guidelines for scoping reviews were used. Results: Five articles met the eligibility criteria. Two case studies, one feasibility study, one micro-credential and one fellowship were described. The mode of delivery was commonly modular online learning. Only one article described an evaluation, and findings showed the train-the-trainer model was technically and pedagogically feasible and well received. A limited number of barriers and enablers for high quality education or training of the rural healthcare workforce were reported across macro (legal, regulatory, economic), meso (local health service and community) and micro (day-to-day practice) levels. Conclusions: Upskilling rural healthcare workers in digital health appears rare. Current best practice points to flexible, blended training programs that are suitably embedded with interdisciplinary and collaborative rural healthcare improvement initiatives. Future work to advance the field could define rural health informatician career pathways, address concurrent rural workforce issues, and conduct training implementation evaluations. Review registration number: Open Science Framework: https://doi.org/10.17605/OSF.IO/N2RMX. [ABSTRACT FROM AUTHOR]

Aim: To evaluate the efficacy and safety of using a uterine and infundibulopelvic ligament tourniquet during abdominal myomectomy to reduce intraoperative bleeding in low-resource settings. Methods: PubMed and Cochrane Library database searching up to March 2023. The PICOS standards were as follows: (Population) patients undergoing abdominal myomectomy surgery for uterine fibroids; (Intervention) the use of a uterine and ligament tourniquet during abdominal myomectomy; (Comparators) use of a uterine and infundibulopelvic ligament tourniquet to no intervention or alternative interventions for reducing intraoperative bleeding; and (Outcomes) reduction in intraoperative bleeding, in addition to the relative ease of use of the uterine and infundibulopelvic ligament tourniquet and any reported complications or adverse events of the intervention. Results: Thirteen studies, consisting of seven randomized controlled trials and six observational studies, were included in this review. All studies reported a significant reduction in intraoperative bleeding when using the uterine and infundibulopelvic ligament during abdominal myomectomy, ranging from 30% to 60%. The tourniquet was found to be particularly effective in cases with large or lower segment fibroids, and it was easy to use, even in low-resource settings. Conclusion: The use of a uterine and infundibulopelvic ligament tourniquet during abdominal myomectomy appears to be a safe and effective method of reducing intraoperative bleeding. [ABSTRACT FROM AUTHOR]

Aims: To develop algorithms for identifying, managing and monitoring postpartum haemorrhage (PPH) and other third stage of labour abnormalities after vaginal delivery. Population: Women with low‐risk singleton term pregnancies who have had a vaginal delivery. Setting: Hospital settings with a particular focus on healthcare facilities in low‐ and middle‐income countries (LMICs). Search strategy: Searches for international and national guidance documents, research databases (Cochrane, Medline and CINAHL) and published systematic reviews. Searches were limited to work published in English between 1 January 2008 and 31 December 2018. Case scenarios: Four interlinked case scenarios were identified for algorithm development: (1) an approach to PPH after vaginal delivery, (2) uterine atony, (3) genital tract trauma and (4) retained placenta/placental products. Conclusions: The development of clear approaches to the assessment, resuscitation, treatment and monitoring of the four case scenarios are presented as algorithms, based on available evidence. They need to be field tested and evaluated for effectiveness, and may be adapted for electronic decision support tools using artificial intelligence in different settings. Further research is needed around multimodal sequential packages of care for PPH, conservative surgical measures, resuscitation in LMICs, and how a respectful maternity care focus can be incorporated into the algorithms. Algorithm development for standardised approaches to managing PPH in low‐resource settings. Algorithm development for standardised approaches to managing PPH in low‐resource settings. [ABSTRACT FROM AUTHOR]

Background. Artificial intelligence (AI) applications in healthcare provision have the potential to universalise access to the right to health, particularly in low-resource settings such as rural and remote regions in which AI is deployed to fill in medical expertise gaps. However, a dominant theme in evolving regulatory approaches is the human in the loop (HITL) requirement in AI healthcare applications to ensure the safety and protection of human rights. Objective. To review HITL requirements in AI healthcare applications and inform how best to regulate AI applications in low-resource settings. Method. We conducted a narrative review on HITL requirements in AI healthcare applications to assess its practicality in low-resource settings. Results. HITL requirements in low-resource settings are impractical as AI applications are deployed to fill in gaps of insufficient medical experts. Conclusion. There is a need for a shift in regulatory approaches from primarily risk-based to an approach that supports the accessibility of AI healthcare applications in low-resource settings. An approach anchored on the human right to science ensures both the safety requirements and access to the benefits of AI systems in healthcare provision. [ABSTRACT FROM AUTHOR]

Background and aims: In low‐ and middle‐income countries (LMICs), a shortage of skilled surgical practitioners hampers healthcare delivery, impacting well‐being and economic growth. Surgical mentorship programs offer a promising solution but face challenges in implementation. This review aims to comprehensively assess the impact of surgical mentorship programs in LMICs and identify challenges and opportunities for their development and implementation. Methods: A thorough literature search was conducted from 2000 to 2023 using multiple databases, focusing on surgical mentorship programs in LMICs. Inclusion criteria encompassed full‐text articles in English that demonstrated characteristics of mentorship. Rigorous exclusion criteria were applied to ensure high‐quality evidence inclusion. Results: Surgical mentorship programs in LMICs strengthen local surgical capacity, improve surgical skills and patient outcomes, optimize resources and technology utilization, and positively impact medical students aspiring to be surgeons. However, challenges such as resistance to change, resource limitations, financial constraints, logistical and technological challenges, and time constraints hinder their implementation. Conclusion: Despite challenges, surgical mentorship programs hold promise for enhancing surgical capacity and healthcare quality in LMICs. Standardized metrics for accountability, innovative funding mechanisms, collaborative partnerships for scalability, interdisciplinary integration, and leveraging virtual mentorship programs are key strategies to overcome challenges and foster sustainable learning cultures, ultimately contributing to improved healthcare equity and quality in low‐resource settings. [ABSTRACT FROM AUTHOR]

Objectives: Meningitis is a medical emergency, and it is crucial to diagnose it accurately and promptly in order to manage patients effectively. It would, therefore, be essential to introduce and have fast, accurate, and user-friendly methods to determine the cause of these infections. This study aimed to demonstrate a potentially cost-effective new approach for detecting meningitis using a paper-based vertical flow microarray, which could be useful in settings with limited resources. Methods: We describe a multiplex paper microarray for detecting Neisseria meningitidis, Haemophilus influenzae, Streptococcus pneumoniae, and Salmonella spp. by the passive vertical flow of PCR-amplified clinical samples. A multibiotinylated amplicon was obtained as a product of PCR in the presence of both a biotinylated primer and biotin-11-dUTP. An enhancement step based on an enzyme-free gold enhancement protocol was also used to facilitate visual detection. Results: This study showed that the vertical flow microarray (previously evaluated for one pathogen) can discriminately detect the amplification results down to the 102 copies of DNA limit for four meningitis pathogens in a multiplexed set-up. The study further demonstrated the ability of this device and setup to detect three of the four pathogens from clinical biosamples. Discussion: This study demonstrated the capacity of a vertical flow microarray device to detect amplification products for four prevalent meningitis pathogens in a multiplex format. The vertical flow microarray demonstrated consistent visualization of the expected gene amplification results; however, indicating limitations in the pre- and amplification steps. This study highlights the potential of this multiplexing method for diagnosing meningitis and other syndromic diseases caused by various pathogens, especially in resource-limited areas.

BackgroundThe role of primary healthcare is pivotal in the management of the surge of dementia prevalence particularly in low-resource areas. In this study, two telehealth-based memory clinics in primary healthcare operating within the frames of the INTegRated InterveNtion of pSychogerIatric Care (INTRINSIC) are presented.MethodsThe first clinic, which is led by a general practitioner, operates at a primary healthcare center in a semi-mountainous area and closely collaborates with the geriatric psychiatry outpatient clinic of the Patras University General Hospital via a telehealth medicine platform. The second clinic is embedded at the General Hospital Center for Interconnected Psychiatric Support on the island of Syros, is led by registered nurses, and is interconnected with the geriatric psychiatry unit at the Eginition University Hospital in Athens.ResultsBoth memory clinics are in their infancy. At the general practitioner-led memory clinic, 13 beneficiaries were assessed and treated during the first 6 months of its operation. Cognitive decline and depressive and/or anxiety symptoms were detected in 10 and eight individuals, respectively. In 9 of the 27 beneficiaries of the registered nurse-led memory clinic, either mild cognitive impairment or dementia was diagnosed, while affective and/or anxiety symptoms were detected in almost all of them. Of note, only 14 beneficiaries of both clinics had received a diagnosis of a mental or neurocognitive disorder prior to their assessment at the memory clinics.ConclusionDeveloping memory clinics in primary healthcare may be a pragmatic strategy to improve access of older adults living in low-resource areas to cognitive healthcare services.

Objective: Africa contributes significantly to the increasing global prevalence (>37 ​%), unmet need and treatment burden for people with osteoarthritis. Despite this, little research has examined the expressed needs of patients with osteoarthritis (OA) and joint pain in West-Africa. This study aimed to explore lived experiences, expressed needs and current care gaps for people living with osteoarthritis in low-health resource contexts using Nigeria as a case study. Design: Qualitative study using Focus Groups. People aged 45 years and over living with osteoarthritis and joint pain were recruited at local health services or via wide advertisements in the community. Discussions were recorded and transcribed verbatim. Data were analyzed using thematic analysis (inductive approach). Results: Three focus groups were conducted with people living with osteoarthritis (n ​= ​30, age range 45–90 years) across socio-demographic strata. Participants described their experiences of living with osteoarthritis as emotionally, physically, and socio-economically challenging. Four main themes (and 14 sub-themes) were identified. Participants expressed the need for an information and health education campaign and access to appropriate health professionals (especially physiotherapists) for providing support, guidance, and assistance with self-management. Conclusions: The provision of an accessible, and contextually appropriate patient education package, in line with evidence-based recommendations is a critical need for people living with osteoarthritis in Nigeria. This will promote evidence-based care for OA in low-resource settings, empowering patients to self-manage and reducing confusion related to inconsistent advice and mixed messages about cause, healthcare access and OA care.

The global shortage of radiologists has led to a growing concern in medical imaging, prompting the exploration of strategies, such as including radiographers in image interpretation, to mitigate this challenge. However, in low-resource settings, progress in adopting similar approaches has been limited. This study aimed to explore radiographers' perceptions regarding the impact of their potential role in image interpretation within a low-resource setting. The study used a qualitative descriptive design and was conducted at two public referral hospitals. Radiographers with at least one year of experience were purposively sampled and interviewed using a semi-structured interview guide after consenting. Data saturation determined the sample size, and content analysis was applied for data analysis. Two themes emerged from fourteen interviews conducted with two male and twelve female radiographers. Theme one revealed the potential for enhanced healthcare delivery through improved diagnostic support, bridging radiologist shortages, career development and fulfilment as positive outcomes of role extension. Theme two revealed possible implementation hurdles including radiographer resistance and reluctance, limited training, lack of professional trust, and legal and ethical challenges. Radiographers perceived their potential participation positively, envisioning enhanced healthcare delivery, however, possible challenges like resistance and reluctance of radiographers, limited training, and legal/ethical issues pose hurdles. Addressing these challenges through tailored interventions, including formal education could facilitate successful implementation. Further studies are recommended to explore radiographers' competencies, providing empirical evidence for sustaining and expanding this role extension. The study further supports the integration of radiographers into image interpretation with the potential to enhance healthcare delivery, however, implementation challenges in low-resource settings require careful consideration. [ABSTRACT FROM AUTHOR]

Esophageal carcinoma is the sixth-leading cause of cancer death worldwide. A precursor to esophageal adenocarcinoma (EAC) is Barrett's Esophagus (BE). Early-stage diagnosis and treatment of esophageal neoplasia (Barrett's with high-grade dysplasia/intramucosal cancer) increase the five-year survival rate from 10% to 98%. BE is a global challenge; however, current endoscopes for early BE detection are costly and require extensive infrastructure for patient examination and sedation. We describe the design and evaluation of the first prototype of ScanCap, a high-resolution optical endoscopy system with a reusable, low-cost tethered capsule, designed to provide high-definition, blue-green illumination imaging for the early detection of BE in unsedated patients. The tethered capsule (12.8 mm diameter, 35.5 mm length) contains a color camera and rotating mirror and is designed to be swallowed; images are collected as the capsule is retracted manually via the tether. The tether provides electrical power and illumination at wavelengths of 415 nm and 565 nm and transmits data from the camera to a tablet. The ScanCap prototype capsule was used to image the oral mucosa in normal volunteers and ex vivo esophageal resections; images were compared to those obtained using an Olympus CV-180 endoscope. Images of superficial capillaries in intact oral mucosa were clearly visible in ScanCap images. Diagnostically relevant features of BE, including irregular Z-lines, distorted mucosa, and dilated vasculature, were clearly visible in ScanCap images of ex vivo esophageal specimens. [ABSTRACT FROM AUTHOR]

Background: Objective structured clinical examination (OSCE) is well‐established and designed to evaluate students' clinical competence and practical skills in a standardized and objective manner. While OSCEs are widespread in higher‐income countries, their implementation in low‐resource settings presents unique challenges that warrant further investigation. Aim: This study aims to evaluate the perception of the health sciences students and their educators regarding deploying OSCEs within the School of Health Sciences and Techniques of Sousse (SHSTS) in Tunisia and their efficacity in healthcare education compared to traditional practical examination methods. Methods: This cross‐sectional study was conducted in June 2022, focusing on final‐year Health Sciences students at the SHSTS in Tunisia. The study participants were students and their educators involved in the OSCEs from June 6th to June 11th, 2022. Anonymous paper‐based 5‐point Likert scale satisfaction surveys were distributed to the students and their educators, with a separate set of questions for each. Spearman, Mann–Whitney U and Krusakll–Wallis tests were utilized to test the differences in satisfaction with the OSCEs among the students and educators. The Wilcoxon Rank test was utilized to examine the differences in students' assessment scores in the OSCEs and the traditional practical examination methods. Results: The satisfaction scores were high among health sciences educators and above average for students, with means of 3.82 ± 1.29 and 3.15 ± 0.56, respectively. The bivariate and multivariate analyzes indicated a significant difference in the satisfaction between the students' specialities. Further, a significant difference in their assessment scores distribution in the practical examinations and OSCEs was also demonstrated, with better performance in the OSCEs. Conclusion: Our study provides evidence of the relatively high level of satisfaction with the OSCEs and better performance compared to the traditional practical examinations. These findings advocate for the efficacy of OSCEs in low‐income countries and the need to sustain them. [ABSTRACT FROM AUTHOR]

Abstract Background and aims In low‐ and middle‐income countries (LMICs), a shortage of skilled surgical practitioners hampers healthcare delivery, impacting well‐being and economic growth. Surgical mentorship programs offer a promising solution but face challenges in implementation. This review aims to comprehensively assess the impact of surgical mentorship programs in LMICs and identify challenges and opportunities for their development and implementation. Methods A thorough literature search was conducted from 2000 to 2023 using multiple databases, focusing on surgical mentorship programs in LMICs. Inclusion criteria encompassed full‐text articles in English that demonstrated characteristics of mentorship. Rigorous exclusion criteria were applied to ensure high‐quality evidence inclusion. Results Surgical mentorship programs in LMICs strengthen local surgical capacity, improve surgical skills and patient outcomes, optimize resources and technology utilization, and positively impact medical students aspiring to be surgeons. However, challenges such as resistance to change, resource limitations, financial constraints, logistical and technological challenges, and time constraints hinder their implementation. Conclusion Despite challenges, surgical mentorship programs hold promise for enhancing surgical capacity and healthcare quality in LMICs. Standardized metrics for accountability, innovative funding mechanisms, collaborative partnerships for scalability, interdisciplinary integration, and leveraging virtual mentorship programs are key strategies to overcome challenges and foster sustainable learning cultures, ultimately contributing to improved healthcare equity and quality in low‐resource settings.

Background: Neonatal care interventions are crucial for reducing infant mortality rates, particularly in low-resource settings where access to advanced medical facilities is limited. Implementing these interventions poses significant challenges due to resource constraints and infrastructural limitations. Materials and Methods: This clinical study investigated the challenges, successes, and strategies involved in implementing advanced neonatal care interventions in a low-resource setting. A retrospective analysis was conducted on the data collected from a neonatal care unit in a resource-limited area over a period of two years. The study assessed the availability of medical equipment, healthcare personnel training, and the efficacy of interventions in improving neonatal health outcomes. Results: The analysis revealed that despite resource constraints, significant strides were made in implementing advanced neonatal care interventions. Availability of essential medical equipment increased by 30%, and healthcare personnel received targeted training programs resulting in a 25% improvement in neonatal survival rates. Strategies such as task-shifting and community outreach programs played a pivotal role in overcoming infrastructural limitations. Conclusion: Implementing advanced neonatal care interventions in low-resource settings is challenging but feasible with targeted strategies. While resource constraints remain a barrier, innovative approaches such as task-shifting and community involvement can significantly improve neonatal health outcomes. Continued investment in infrastructure, training, and community engagement is essential for sustainable progress in reducing neonatal mortality rates in resource-limited areas.

Efforts are underway to improve the accuracy of non-specialist screening for oral cancer (OC) risk, yet better screening will only translate into improved outcomes if at-risk individuals comply with specialist referral. Most individuals from low-resource, minority, and underserved (LRMU) populations fail to complete a specialist referral for OC risk. The goal was to evaluate the impact of a novel approach on specialist referral compliance in individuals with a positive OC risk screening outcome. A total of 60 LRMU subjects who had screened positive for increased OC risk were recruited and given the choice of referral for an in-person (20 subjects) or a telehealth (40 subjects) specialist visit. Referral compliance was tracked weekly over 6 months. Compliance was 30% in the in-person group, and 83% in the telehealth group. Approximately 83-85% of subjects from both groups who had complied with the first specialist referral complied with a second follow-up in-person specialist visit. Overall, 72.5% of subjects who had chosen a remote first specialist visit had entered into the continuum of care by the study end, vs. 25% of individuals in the in-person specialist group. A two-step approach that uses telehealth to overcome barriers may improve specialist referral compliance in LRMU individuals with increased OC risk.

Abstract The alarming state of global insulin access in low‐resource settings presents a major barrier to diabetes care. A comprehensive review of these challenges is lacking at the global level. To address this weakness, enhance affordability and build capacity for a more sustainable approach to scaling up access. This review analyzes the specific issue of inconsistent access to insulin in low‐ and middle‐income countries. Using this analysis, we mapped the scope and intensity of issues such as the unaffordability and unavailability of insulin. We also identified six innovative and integrative strategies for increasing and securing accessibility in the areas of policy making, marketing, clinical practice, health education, domestication, and multisectoral approaches.

Abstract Background Mental health disorders among youth contribute substantially to the global burden of disease, which is exacerbated in low- and middle-income countries (LMICs) due to large mental health treatment gaps. In Sierra Leone, a West African country with a long history of complex adversity, the mental health treatment gap is estimated at 98%. Implementing innovative mental health interventions that can be sustained at scale is a priority. The Youth Readiness Intervention (YRI) is an evidence-based mental health intervention for youth that can be delivered feasibly by lay health workers/nonspecialists. Using mobile-based technologies to assist implementation could improve the reach and sustainability of the YRI in Sierra Leone. This study aims to train teachers to deliver the YRI in Sierra Leone’s secondary schools and test the feasibility, acceptability, cost, and fidelity to the YRI of a mobile-based supervision model compared with standard, in-person supervision. Methods We will conduct a hybrid type 3 implementation-effectiveness cluster randomized trial to assess the feasibility, acceptability, costs and fidelity to the YRI implemented by teachers receiving mobile-based supervision vs. standard supervision. Enrolled schools (N = 50) will be randomized to YRI + mobile supervision (N = 20), YRI + standard supervision (N = 20) or waitlist control (N = 10). We will recruit and enroll four teachers per intervention-condition school (N = 160) and 1200 youth. We will collect data on implementation outcomes among teachers, principals and youth via a mixed methods approach at baseline and post-intervention. We will also collect quantitative data on youth mental health and functioning as secondary outcomes at baseline and post-intervention, as well as cost-effectiveness data at 12-month follow-up. Discussion Study findings have the potential to expand the reach of mental health services among youth in low-resource settings via a teacher workforce. The use of mobile tools, if successful, could support further scale out and sustainment of the YRI to other regions of Sierra Leone and West Africa more broadly, which could help address the mental health treatment gap. Trial registration Clinical Trial Network: NCT05737667.

Purpose: To underline the feasibility of achieving early weight bearing in patients with distal end-segment femur fractures (AO/OTA 33) treated with retrograde intramedullary nailing and supplemental plate or lag screws in the absence of C-arm. Methods: 41 distal end-segment femur fractures (DFFs) included in the study were treated with SIGN nails with or without a side plate in a center that lacked intraoperative fluoroscopy and fracture table. A medial or lateral para-patellar incision was used for fracture reduction, nail insertion and side plate placement. Follow-ups were done at six weeks, 12 weeks, and six months post-operatively. Results: Distal end-segment fractures constituted 13.2% of all femur fractures treated. The patients' mean age and range were 49.6 and 23–83 years respectively. They were mostly injured in road traffic accidents. 27 were daily-income earners. By the 12th week post-operatively, 82.1% of them could flex their knee beyond 90°, all of them could bear weight fully, and 71.8% could squat & smile. Conclusion: The study highlighted the procedure for retrograde nailing of DFFs in a setting without the requisite facilities for minimally-invasive surgeries. The findings demonstrated the feasibility of achieving an expedited weight bearing for the predominantly daily-income-earning victims to ensure early return to work and poverty reduction. While the small sample size is a limitation, the study does provide information that could serve as a basis for future randomized controlled trials in low-resource settings. [ABSTRACT FROM AUTHOR]

Medical doctors can encounter significant challenges in both the radiology image interpretation service and their ability to interpret images to promote effective patient management. This study aimed to explore the experiences of medical doctors in a low-resource setting regarding the image interpretation service received in state-funded hospitals and the potential role of radiographers. A qualitative approach with a descriptive phenomenology design was employed. Thirteen medical officers and medical interns, with a maximum of three years of experience, were purposively selected from three state-funded hospitals. Semi-structured interviews were conducted in English, and data analysis followed the conventional content analysis method using Atlas.ti for Windows (version 9). Three main themes emerged from the data. The first theme was a poor image interpretation service which highlighted issues such as long turnaround times for image reporting and compromised patient management. The second theme was training and support deficiency which revealed the inadequacy of image interpretation training and the need for additional on-the-job support. The third theme was the inconspicuous radiographer role which showcased the potential opportunities for radiographers to aid in filling the gaps in the image interpretation system. Medical doctors in this low-resource setting experience significant delays in radiology image interpretation, leading to compromised patient management. Their training in image interpretation is inadequate, and they often lack on-the-job support. Radiographers potentially play a role in image interpretation which may provide solutions to these contextual challenges. There is a need to review and develop a comprehensive image interpretation system that effectively supports medical doctors in image interpretation, possibly involving the collaboration of radiographers. [ABSTRACT FROM AUTHOR]

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Background Chronic wound management in low-resource settings deserves special attention. Rural or underresourced settings (ie, those with limited basic needs/healthcare supplies and inconsistent availability of interprofessional team members) may not be able to apply or duplicate best practices from urban or abundantly resourced settings. Objective The authors linked world expertise to develop a practical and scientifically sound application of the wound bed preparation model for communities without ideal resources. Methods A group of 41 wound experts from 15 countries reached a consensus on wound bed preparation in resource- limited settings. Results Each statement of 10 key concepts (32 substatements) reached more than 88% consensus. Conclusions The consensus statements and rationales can guide clinical practice and research for practitioners in low-resource settings. These concepts should prompt ongoing innovation to improve patient outcomes and healthcare system efficiency for all persons with foot ulcers, especially persons with diabetes. [ABSTRACT FROM AUTHOR]

Background: Misoprostol is widely used for cervical ripening and labour induction as it is heat‐stable and inexpensive. Oral misoprostol 25 μg given 2‐hourly is recommended over vaginal misoprostol 25 μg given 6‐hourly, but the need for 2‐hourly fetal monitoring makes oral misoprostol impractical for routine use in high‐volume obstetric units in resource‐constrained settings. Objectives: To compare the efficacy and safety of oral misoprostol initiated at 25 or 50 μg versus 25 μg vaginal misoprostol given at 4‐ to 6‐hourly intervals for labor induction in women at or beyond term (≥ 37 weeks) with a single viable fetus and an unscarred uterus. Search Strategy: We identified eligible randomized, parallel‐group, labor‐induction trials from recent systematic reviews. We additionally searched PubMed, Cochrane CENTRAL, Epistemonikos, and clinical trials registries from February 1, 2020 to December 31, 2022 without language restrictions. Database‐specific keywords for cervical priming, labor induction, and misoprostol were used. Selection Criteria: We excluded labor‐induction trials exclusively in women with ruptured membranes, in the third trimester, and those that initiated misoprostol at doses not specified in the review's objectives. The primary outcomes were vaginal birth within 24 h, cesarean section, perinatal mortality, neonatal morbidity, and maternal morbidity. The secondary outcomes were uterine hyperstimulation with fetal heart rate changes, and oxytocin augmentation. Data Collection and Analysis: Two or more authors selected studies independently, assessed risk of bias, and extracted data. We derived pooled weighted risk ratios with 95% confidence intervals (CIs) for each outcome, subgrouping trials by the dose and frequency of misoprostol regimens. We used the I2 statistic to quantify heterogeneity and the random‐effects model for meta‐analysis when appropriate. We used the Grades of Recommendation, Assessment, Development and Evaluation (GRADE) approach to assess certainty (confidence) in the effect estimates. Main Results: Thirteen trials, from Canada, India, Iran, and the US, randomizing 2941 women at ≥37 weeks of gestation with an unfavorable cervix (Bishop score <6), met the eligibility criteria. Five misoprostol regimens were compared: 25 μg oral versus 25 μg vaginal, 4‐hourly (three trials); 50 μg oral versus 25 μg vaginal, 4‐hourly (five trials); 50 μg followed by 100 μg oral versus 25 μg vaginal, 4‐hourly (two trials); 50 μg oral, 4‐hourly versus 25 μg vaginal, 6‐hourly (one trial); and 50 μg oral versus 25 μg vaginal, 6‐hourly (two trials). The overall certainty in the evidence ranged from moderate to very low, due to high risk of bias in 11/13 trials (affecting all outcomes), unexplained heterogeneity (1/7 outcomes), indirectness (1/7 outcomes), and imprecision (4/7 outcomes). Vaginal misoprostol probably increased vaginal deliveries within 24 h compared with oral misoprostol (risk ratio [RR] 0.82, 95% CI 0.70–0.96; 11 trials, 2721 mothers; moderate‐certainty evidence); this was more likely with 4‐hourly than with 6‐hourly vaginal regimens. The risk of cesarean sections did not appreciably differ (RR 1.00, 95% CI 0.80–1.26; 13 trials, 2941 mothers; very low‐certainty evidence), although oral misoprostol 25 μg 4‐hourly probably increased this risk compared with 25 μg vaginal misoprostol 4‐hourly (RR 1.69, 95% CI 1.21–2.36; three trials, 515 mothers). The risk of perinatal mortality (RR 0.67, 95% CI 0.11–3.90; one trial, 196 participants; very low‐certainty evidence), neonatal morbidity (RR 0.84, 95% CI 0.67–1.06; 13 trials, 2941 mothers; low‐certainty evidence), and maternal morbidity (RR 0.83, 95% CI 0.48–1.44; 6 trials; 1945 mothers; moderate‐certainty evidence) did not differ appreciably. The risk of uterine hyperstimulation with fetal heart rate changes may be lower with oral misoprostol (RR 0.70, 95% CI 0.52–0.95; 10 trials, 2565 mothers; low‐certainty evidence). Oxytocin augmentation was probably more frequent with oral compared with vaginal misoprostol (RR 1.29, 95% CI 1.10–1.51; 13 trials, 2941 mothers; moderate‐certainty evidence). Conclusions: Low‐dose, 4‐ to 6‐hourly vaginal misoprostol regimens probably result in more vaginal births within 24 h and less frequent oxytocin use compared with low‐dose, 4‐ to 6‐hourly, oral misoprostol regimens. Vaginal misoprostol may increase the risk of uterine hyperstimulation with fetal heart changes compared with oral misoprostol, without increasing the risk of perinatal mortality, neonatal morbidity, or maternal morbidity. Indirect evidence indicates that 25 μg vaginal misoprostol 4‐hourly may be more effective and as safe as the recommended 6‐hourly vaginal regimen. This evidence could inform clinical decisions in high‐volume obstetric units in resource‐constrained settings. Synopsis: Vaginal misoprostol 25 μg 4‐hourly may be an effective, safe, and pragmatic alternative to currently recommended labor‐induction regimens in high‐volume obstetric units in resource‐constrained settings. [ABSTRACT FROM AUTHOR]

Hypertension is the leading preventable cause of death worldwide. Two-thirds of people with hypertension live in Low- and Middle-Income Countries (LMIC). However, epidemiological data necessary to address the growing burden of hypertension and other Non-Communicable Diseases (NCDs) in LMICs are severely lacking. Electronic Health Records (EHRs) are an emerging source of epidemiological data for LMICs, but have been underutilized for NCD monitoring. The objective of this study was to estimate the prevalence of hypertension in a rural Indigenous community in Guatemala using EHR data, describe hypertension risk factors and current treatment in this population, and demonstrate the feasibility of using EHR data for epidemiological surveillance of NCDs in LMIC. We conducted a cross-sectional analysis of 3646 adult clinic visits. We calculated hypertension prevalence using physician diagnosis, antihypertensive treatment, or Blood Pressure (BP) ≥140/90 mmHg. We noted antihypertensives prescribed and BP control (defined as BP

Abstract Objective This scoping review aims to contribute a descriptive analysis of the craniomaxillofacial trauma (CMF trauma) literature in low‐ and middle‐income countries (LMICs) to identify knowledge gaps, direct future research, and inform policy. Data Sources PubMed/MEDLINE, Cochrane Review, EMBASE, ClinicalTrials.gov, and Google Scholar from January 1, 2012 to December 10, 2023. Review Methods The Preferred Reporting Items for Systematic Reviews and Meta‐Analyses Extension for Scoping Reviews (PRISMA‐ScR) guided reporting, and the PRISMA flowchart documented database searches. Specific, predefined search terms and inclusion criteria were used for screening, and the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist was used for quality assessment. The search yielded 54 articles, with 13 meeting the inclusion criteria. Key findings were summarized and divided into 7 categories. Results There were 10,420 patients (7739 [74.3%] male, 2681 [25.7%] female) with a male‐to‐female ratio of 2.9:1. The mean peak age of incidence of CMF trauma was 30.8 years, ranging from 20 to 40 years. Road traffic accidents were the leading cause (60.4%), followed by assault (27.2%) and falls (12.2%). The most common injuries were soft tissue injury (31.7%), isolated mandibular fracture (22.8%), and isolated middle‐third of mandible fracture (18.1%). The most common treatments were closed reduction and immobilization (29.5%), conservative management (27.6%), and open reduction and internal fixation (19.6%). Most patients (77.8%) experienced a treatment delay due to a lack of fixation materials (54.8%) or surgeon unavailability (35.7%). Conclusion CMF trauma remains a significant cause of global morbidity, yet there remains a lack of high‐quality, CMF trauma‐specific data in LMICs. Country‐specific investigations are required to enhance knowledge and inform novel interventions. Implementing policy change must be community‐specific and account for unique cultural barriers, attitudes, and behaviors to maximize patient care outcomes.

Large language models (LLMs) have significantly advanced natural language processing, but their progress has yet to be equal across languages. While most LLMs are trained in high-resource languages like English, multilingual models generally underperform monolingual ones. Additionally, aspects of their multilingual foundation sometimes restrict the byproducts they produce, like computational demands and licensing regimes. In this study, we document the development of open-foundation models tailored for use in low-resource settings, their limitations, and their benefits. This is the TeenyTinyLlama pair: two compact models for Brazilian Portuguese text generation. We release them under the permissive Apache 2.0 license on GitHub and Hugging Face for community use and further development.

Abstract Background Objective structured clinical examination (OSCE) is well‐established and designed to evaluate students' clinical competence and practical skills in a standardized and objective manner. While OSCEs are widespread in higher‐income countries, their implementation in low‐resource settings presents unique challenges that warrant further investigation. Aim This study aims to evaluate the perception of the health sciences students and their educators regarding deploying OSCEs within the School of Health Sciences and Techniques of Sousse (SHSTS) in Tunisia and their efficacity in healthcare education compared to traditional practical examination methods. Methods This cross‐sectional study was conducted in June 2022, focusing on final‐year Health Sciences students at the SHSTS in Tunisia. The study participants were students and their educators involved in the OSCEs from June 6th to June 11th, 2022. Anonymous paper‐based 5‐point Likert scale satisfaction surveys were distributed to the students and their educators, with a separate set of questions for each. Spearman, Mann–Whitney U and Krusakll–Wallis tests were utilized to test the differences in satisfaction with the OSCEs among the students and educators. The Wilcoxon Rank test was utilized to examine the differences in students' assessment scores in the OSCEs and the traditional practical examination methods. Results The satisfaction scores were high among health sciences educators and above average for students, with means of 3.82 ± 1.29 and 3.15 ± 0.56, respectively. The bivariate and multivariate analyzes indicated a significant difference in the satisfaction between the students' specialities. Further, a significant difference in their assessment scores distribution in the practical examinations and OSCEs was also demonstrated, with better performance in the OSCEs. Conclusion Our study provides evidence of the relatively high level of satisfaction with the OSCEs and better performance compared to the traditional practical examinations. These findings advocate for the efficacy of OSCEs in low‐income countries and the need to sustain them.

Preeclampsia is a syndrome that continues to be a major contributor to maternal and neonatal mortality, especially in low-income countries. Low-dose aspirin reduces the risk of preeclampsia, but the mechanism is still unknown. Risk factors to identify women at risk of preeclampsia are based on clinical characteristics. Women identified as high-risk would benefit from aspirin treatment initiated, preferably at the end of the first trimester. Current efforts have largely focused on developing screening algorithms that incorporate clinical risk factors, maternal biomarkers, and uterine artery Doppler evaluated in the first trimester. However, most studies on preeclampsia are conducted in high-income settings, raising uncertainties about whether the information gained can be totally applied in low-resource settings. In low- and middle-income countries, lack of adequate antenatal care and late commencement of antenatal care visits pose significant challenges for both screening for preeclampsia and initiating aspirin treatment. Furthermore, the preventive effect of first-trimester screening based on algorithms and subsequent aspirin treatment is primarily seen for preterm preeclampsia, and reviews indicate minimal or no impact on reducing the risk of term preeclampsia. The lack of evidence regarding the effectiveness of aspirin in preventing term preeclampsia is a crucial concern, as 75% of women will develop this subtype of the syndrome. Regarding adverse outcomes, low-dose aspirin has been linked to a possible higher risk of postpartum hemorrhage, a condition as deadly as preeclampsia in many low- and middle-income countries. The increased risk of postpartum hemorrhage among women in low-income settings should be taken into consideration when discussing which pregnant women would benefit from the use of aspirin and the ideal aspirin dosage for preventing preeclampsia. In addition, women's adherence to aspirin during pregnancy is crucial for determining its effectiveness and complications, an aspect often overlooked in trials. In this review, we analyze the knowledge gaps that must be addressed to safely increase low-dose aspirin use in low- and middle-income countries, and we propose directions for future research.

Abstract Background Low-resource settings are often less capable of responding to and implementing available quality research evidence for public healthcare practice and policy development due to various factors. In most low-resource settings, limited empirical evidence is available to help deal with localised factors that contribute to low public health research uptake, particularly from the perspective of key research stakeholders. Methods Although the study initially employed a two-phase exploratory sequential approach, this paper focuses on the results generated from a quantitative approach. Considering the determining factors that affect research uptake in the context of low-resource settings, a measuring instrument was developed and its reliability and validity were assessed using an exploratory factor analysis approach. Results A total of 212 respondents, according to their job roles and titles, were identified as researchers, front-line workers, programme managers, and directors/senior managers of higher learning institutions, indicating that the three constructs applied in the questionnaire, namely (1) individual factors, (2) organisational factors, and (3) research characteristics, demonstrated relatively high reliability with a Cronbach’s alpha of greater than 0.791. Conclusion The study concludes that the instrument can potentially be used to measure factors that affect research uptake in low-resource settings.

Advancements in artificial intelligence (AI) for point-of-care ultrasound (POCUS) have ushered in new possibilities for medical diagnostics in low-resource settings. This review explores the current landscape of AI applications in POCUS across these environments, analyzing studies sourced from three databases—SCOPUS, PUBMED, and Google Scholars. Initially, 1196 records were identified, of which 1167 articles were excluded after a two-stage screening, leaving 29 unique studies for review. The majority of studies focused on deep learning algorithms to facilitate POCUS operations and interpretation in resource-constrained settings. Various types of low-resource settings were targeted, with a significant emphasis on low- and middle-income countries (LMICs), rural/remote areas, and emergency contexts. Notable limitations identified include challenges in generalizability, dataset availability, regional disparities in research, patient compliance, and ethical considerations. Additionally, the lack of standardization in POCUS devices, protocols, and algorithms emerged as a significant barrier to AI implementation. The diversity of POCUS AI applications in different domains (e.g., lung, hip, heart, etc.) illustrates the challenges of having to tailor to the specific needs of each application. By separating out the analysis by application area, researchers will better understand the distinct impacts and limitations of AI, aligning research and development efforts with the unique characteristics of each clinical condition. Despite these challenges, POCUS AI systems show promise in bridging gaps in healthcare delivery by aiding clinicians in low-resource settings. Future research endeavors should prioritize addressing the gaps identified in this review to enhance the feasibility and effectiveness of POCUS AI applications to improve healthcare outcomes in resource-constrained environments.