scholarly journals Machine learning health-related applications in low-income and middle-income countries: a scoping review protocol

BMJ Open ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. e035983
Author(s):  
Rodrigo M Carrillo-Larco ◽  
Lorainne Tudor Car ◽  
Jonathan Pearson-Stuttard ◽  
Trishan Panch ◽  
J Jaime Miranda ◽  
...  
Keyword(s):  
Public Health ◽  
Machine Learning ◽  
Scoping Review ◽  
Low Income ◽  
Clinical Medicine ◽  
Scientific Publications ◽  
Middle Income ◽  
Middle Income Countries ◽  
Low Middle Income Countries ◽  
Health Related

IntroductionMachine learning (ML) has been used in bio-medical research, and recently in clinical and public health research. However, much of the available evidence comes from high-income countries, where different health profiles challenge the application of this research to low/middle-income countries (LMICs). It is largely unknown what ML applications are available for LMICs that can support and advance clinical medicine and public health. We aim to address this gap by conducting a scoping review of health-related ML applications in LMICs.Methods and analysisThis scoping review will follow the methodology proposed by Levac et al. The search strategy is informed by recent systematic reviews of ML health-related applications. We will search Embase, Medline and Global Health (through Ovid), Cochrane and Google Scholar; we will present the date of our searches in the final review. Titles and abstracts will be screened by two reviewers independently; selected reports will be studied by two reviewers independently. Reports will be included if they are primary research where data have been analysed, ML techniques have been used on data from LMICs and they aimed to improve health-related outcomes. We will synthesise the information following evidence mapping recommendations.Ethics and disseminationThe review will provide a comprehensive list of health-related ML applications in LMICs. The results will be disseminated through scientific publications. We also plan to launch a website where ML models can be hosted so that researchers, policymakers and the general public can readily access them.

scholarly journals Implementation of colorectal cancer screening interventions in low-income and middle-income countries: a scoping review protocol

BMJ Open ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. e037520
Author(s):  
Désirée Schliemann ◽  
Nicholas Matovu ◽  
Kogila Ramanathan ◽  
Paloma Muñoz-Aguirre ◽  
Ciaran O'Neill ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Screening ◽  
Colorectal Cancer Screening ◽  
Scoping Review ◽  
Low Income ◽  
Middle Income ◽  
Crc Screening ◽  
Middle Income Countries ◽  
Low Middle Income Countries ◽  
Scoping Reviews

IntroductionColorectal cancer (CRC) imposes a significant global burden of disease. CRC survival rates are much lower in low-income and middle-income countries (LMICs). Screening tends to lead to an improvement in cancer detection and the uptake of available treatments and, in turn, to better chances of cancer survival. Most evidence on CRC screening interventions comes from high-income countries. The objective of this scoping review is to map the available literature on the implementation of CRC screening interventions in LMICs.Methods and analysisWe will conduct a scoping review according to the framework proposed by Arksey and O’Malley (2005). We will search MEDLINE, EMBASE, Web of Science and Google Scholar using a combination of terms such as “colorectal cancer”, “screening” and “low-middle-income countries”. Studies of CRC screening interventions/programmes conducted in the general adult population in LMICs as well as policy reviews (of interventions in LMICs) and commentaries on challenges and opportunities of delivering CRC screening in LMICs, published in the English language before February 2020 will be included in this review. The title and abstract screen will be conducted by one reviewer and two reviewers will screen full-texts and extract data from included papers, independently, into a data charting template that will include criteria from an adapted template for intervention description and replication checklist and implementation considerations. The presentation of the scoping review will be reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews guidance.Ethics and disseminationThere are no ethical concerns. The results will be used to inform colorectal screening interventions in LMICs. We will publish the findings in a peer-reviewed journal and present them at relevant conferences.

scholarly journals Exploring the Potential of Artificial Intelligence and Machine Learning to Combat COVID-19 and Existing Opportunities for LMIC: A Scoping Review

2020 ◽  
Vol 11 ◽  
pp. 215013272096363
Author(s):  
Maleeha Naseem ◽  
Ramsha Akhund ◽  
Hajra Arshad ◽  
Muhammad Talal Ibrahim
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Scoping Review ◽  
Protein Structures ◽  
Learning System ◽  
Middle Income ◽  
Current Time ◽  
Middle Income Countries ◽  
Low Middle Income Countries ◽  
Scoping Reviews

Background: In the face of the current time-sensitive COVID-19 pandemic, the limited capacity of healthcare systems resulted in an emerging need to develop newer methods to control the spread of the pandemic. Artificial Intelligence (AI), and Machine Learning (ML) have a vast potential to exponentially optimize health care research. The use of AI-driven tools in LMIC can help in eradicating health inequalities and decrease the burden on health systems. Methods: The literature search for this Scoping review was conducted through the PubMed database using keywords: COVID-19, Artificial Intelligence (AI), Machine Learning (ML), and Low Middle-Income Countries (LMIC). Forty-three articles were identified and screened for eligibility and 13 were included in the final review. All the items of this Scoping review are reported using guidelines for PRISMA extension for scoping reviews (PRISMA-ScR). Results: Results were synthesized and reported under 4 themes. (a) The need of AI during this pandemic: AI can assist to increase the speed and accuracy of identification of cases and through data mining to deal with the health crisis efficiently, (b) Utility of AI in COVID-19 screening, contact tracing, and diagnosis: Efficacy for virus detection can a be increased by deploying the smart city data network using terminal tracking system along-with prediction of future outbreaks, (c) Use of AI in COVID-19 patient monitoring and drug development: A Deep learning system provides valuable information regarding protein structures associated with COVID-19 which could be utilized for vaccine formulation, and (d) AI beyond COVID-19 and opportunities for Low-Middle Income Countries (LMIC): There is a lack of financial, material, and human resources in LMIC, AI can minimize the workload on human labor and help in analyzing vast medical data, potentiating predictive and preventive healthcare. Conclusion: AI-based tools can be a game-changer for diagnosis, treatment, and management of COVID-19 patients with the potential to reshape the future of healthcare in LMIC.

scholarly journals Exploration of recovery of people living with severe mental illness (SMI) in low/middle-income countries (LMICs): a scoping review

BMJ Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. e045005
Author(s):  
Fadia Gamieldien ◽  
Roshan Galvaan ◽  
Bronwyn Myers ◽  
Zarina Syed ◽  
Katherine Sorsdahl
Keyword(s):  
Mental Illness ◽  
Severe Mental Illness ◽  
Scoping Review ◽  
Data Extraction ◽  
Flow Diagram ◽  
Personal Recovery ◽  
Middle Income ◽  
Middle Income Countries ◽  
Provider Perspectives ◽  
Low Middle Income Countries

ObjectiveTo examine the literature on how recovery of people with severe mental illness (SMI) is conceptualised in low/middle-income countries (LMICs), and in particular what factors are thought to facilitate recovery.DesignScoping review.Data sources and eligibilityWe searched 14 electronic databases, hand searched citations and consulted with experts during the period May–December 2019. Eligible studies were independently screened for inclusion and exclusion by two reviewers. Unresolved discrepancies were referred to a third reviewer.Data extraction and synthesisAll bibliographical data and study characteristics were extracted using a data charting form. Selected studies were analysed through a thematic analysis emerging from extracted data.ResultsThe Preferred Reporting Items for Systematic Reviews and Meta-Analyses flow diagram offers a summary of the results: 4201 titles, 1530 abstracts and 109 full-text articles were screened. Ten articles were selected for inclusion: two from Turkey, two from India, and one each from China, Swaziland, Indonesia, Egypt, South Africa and Vietnam. Although most studies used qualitative methods, data collection and sampling methods were heterogeneous. One study reported on service provider perspectives while the rest provided perspectives from a combination of service users and caregivers. Three themes emerged from the data analysis. First, studies frame recovery as a personal journey occurring along a continuum. Second, there was an emphasis on social relationships as a facilitator of recovery. Third, spirituality emerged as both a facilitator and an indicator of recovery. These themes were not mutually exclusive and some overlap exists.ConclusionAlthough there were commonalities with how high-income countries describe recovery, we also found differences in conceptualisation. These differences in how recovery was understood reflect the importance of framing the personal recovery concept in relation to local needs and contextual issues found in LMICs. This review highlighted the current sparse evidence base and the need to better understand recovery from SMI in LMICs.

scholarly journals Multimorbidity Patterns and Function Among Adults in Low- and Middle-income Countries: a Scoping Review Protocol

2021 ◽  
Author(s):  
Karina Berner ◽  
Nassib Tawa ◽  
Quinette Louw
Keyword(s):  
Scoping Review ◽  
Low Income ◽  
Data Extraction ◽  
Rehabilitation Services ◽  
Health Coverage ◽  
Policy Planning ◽  
Functional Impairments ◽  
Middle Income ◽  
Middle Income Countries ◽  
And Function

Abstract BackgroundA fifth of adults in low-income and middle-income countries (LMICs) have multimorbid conditions, which are linked to socio-economic deprivation and aging. Multimorbidity is associated with high rates of functional problems and disability, increased healthcare utilization and lower quality of life. Literature on multimorbidity and associations with function is mostly from high-income countries (HICs) and focused among adults. Data regarding patterns and their impact on person-centered outcomes are limited. There is need for research into understanding common patterns of multimorbidity, and their association with functional impairment, particularly in LMICs. Therefore, the need for evidence-based, and context-relevant strategic policy, planning and delivery models for health and rehabilitation services is imperative in attaining Universal Health Coverage (UHC). The planned scoping review aims to provide an overview of the scope and nature of existing literature on multimorbidity patterns and function among adults in LMICs. MethodsA scoping review will be conducted according to a five-step framework guidance. The PRISMA-ScR guidelines will be followed in reporting. A comprehensive electronic search of PubMed, Scopus, EBSCOhost (including MEDLINE and the Cumulative Index to Nursing and Allied Health Literature [CINAHL]), Scielo, Cochrane and Google Scholar will be conducted from January 1976 onwards. Studies will be included if they are primary or secondary, qualitative or quantitative research reported in English, published (between January 1976 and the search date) in a peer-reviewed journal, and describe multimorbidity patterns and associations with physical functional impairments, activity limitations or participation restrictions among adults in LMICs. Search results will be independently screened by two reviewers and data extraction will cover; study characteristics, participants’ characteristics, multimorbidity measures, patterns analysis and functional measures. Descriptive statistics and narrative synthesis will be used to synthesize and summarize the findings.DiscussionPatients with multimorbidity have unique and cross-cutting needs, hence the need for an integrated and person-centered approaches to policy, planning and delivery of medical and rehabilitation services. Considering the shift towards primary healthcare-led management of chronic diseases and UHC, the proposed scoping review is timely and the findings will provide insights into the current extent and scope of multimorbidity research, and guide future inquiry in the field. Protocol registrationOpen Science Framework (OSF), osf.io/gcy7z

scholarly journals Change in Measles Vaccine Coverage and Estimated Impact on Measles Mortality in Low and Middle Income Countries, 2020: An Investigation into Secondary Public Health Effects of the COVID-19 Pandemic Using the Lives Saved Tool

2021 ◽  
Author(s):  
Lucy Claire Gregory
Keyword(s):  
Public Health ◽  
Health Effects ◽  
Vaccine Coverage ◽  
Surveillance Systems ◽  
Measles Vaccine ◽  
Middle Income ◽  
Middle Income Countries ◽  
National Immunization ◽  
Lives Saved Tool ◽  
Low Middle Income Countries

With the global COVID-19 pandemic, many public health services were severely disrupted. Estimating the overall health effects of this is difficult as most disease surveillance systems have also been substantially affected during the pandemic. For some diseases, this effect is mitigated by the methods enacted to fight the pandemic, such as use of facial coverings, social distancing and quarantine, but measles is infectious to the degree that this mitigation is likely to be limited. Thus, outbreaks and an increase in global measles mortality are expected. However, the severity of this impact is not yet known. In early 2020, a study by Roberton and colleagues predicted an additional 12,360 to 37,920 deaths in children under-five worldwide from measles over the coming year based on three potential levels of vaccine coverage reductions ranging from 18.5 to 51.9%. Our study investigates the magnitude of the increase in measles mortality due to decreased vaccine coverage because of COVID-19, based on official estimates of 2020 measles vaccine coverage from WHO/UNICEF released in July 2021. Using the Lives Saved Tool (LiST), an interventions modeling program, we estimated measles mortality for low/middle income countries (LMICs) based on the 2020 WHO/UNICEF estimates of national immunization coverage (WUENIC). Because these calculations use actual reported vaccine coverage, they provide a more accurate picture of measles mortality related to COVID-19 disruptions in 2020. Using the WUENIC data, LiST predicted fewer additional deaths in 2020 due to decreases in measles vaccine coverage than estimations made by LiST based on Roberton, 2020 due to remarkable recovery efforts by national immunization programmes in the second half of 2020.

Globalization and Environment: An Asian Experience

2018 ◽  
Vol 09 (03) ◽  
pp. 1850010 ◽  
Author(s):  
Sudeshna Ghosh
Keyword(s):  
Granger Causality ◽  
Low Income ◽  
High Income ◽  
Low Income Countries ◽  
Environmental Damage ◽  
Empirical Observation ◽  
Middle Income ◽  
Middle Income Countries ◽  
Long Run ◽  
Low Middle Income Countries

This paper explores the causal association between globalization and carbon dioxide emanations in a panel set of 17 low- and low-middle-income countries and 12 upper-middle and high-income countries of Asia, respectively. The time series of observations run from 1974 to 2014. The Westerlund (2007) panel cointegration test reveals that there exists a long-run cointegrating relationship in both the panel set of observations between globalization and CO2 emissions. For the panel of upper-middle and high-income countries of Asia the long-run panel (heterogeneous elasticities) shows that globalization does not cause environmental damage, contrary to the observation based on lower- and lower-middle-income countries. The study is in conformity with the Environmental Kuznets Curve Hypothesis. The Granger causality between the variables is explored by utilizing the Dumitrescu and Hurlin (2012) Granger Causality tests. The empirical observation shows that globalization-led environmental causality is valid for lower- and lower-middle-income countries of Asia. So proper sustainable green and clean technology must be adopted for the low-income countries to stop the negation of the growth process in the near future.

scholarly journals A scoping review of health-related stigma outcomes for high-burden diseases in low- and middle-income countries

BMC Medicine ◽  
2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Jeremy C. Kane ◽  
Melissa A. Elafros ◽  
Sarah M. Murray ◽  
Ellen M. H. Mitchell ◽  
Jura L. Augustinavicius ◽  
...  
Keyword(s):  
Scoping Review ◽  
Middle Income ◽  
High Burden ◽  
Middle Income Countries ◽  
Related Stigma ◽  
Health Related ◽  
Low And Middle Income

Community advisory boards and research ethics in low-income and middle-income countries: a scoping review

The Lancet ◽  
2018 ◽  
Vol 392 ◽  
pp. S42 ◽  
Author(s):  
Yang Zhao ◽  
Thomas Fitzpatrick ◽  
Bin Wan ◽  
Suzanne Day ◽  
Allison Mathews ◽  
...  
Keyword(s):  
Research Ethics ◽  
Scoping Review ◽  
Low Income ◽  
Middle Income ◽  
Middle Income Countries ◽  
Advisory Boards ◽  
Community Advisory Boards

scholarly journals Health of transgender men in low-income and middle-income countries: a scoping review

2020 ◽  
Vol 5 (11) ◽  
pp. e003471
Author(s):  
Ayden Scheim ◽  
Vibhuti Kacholia ◽  
Carmen Logie ◽  
Venkatesan Chakrapani ◽  
Ketki Ranade ◽  
...  
Keyword(s):  
Scoping Review ◽  
Low Income ◽  
Grey Literature ◽  
Men’S Health ◽  
Men's Health ◽  
Middle Income ◽  
Middle Income Countries ◽  
Trans Men ◽  
Gender Based ◽  
And Gender

IntroductionDespite the rapid growth of research on transgender (trans) health globally, the extent of research on trans men and other transmasculine persons assigned the female sex at birth remains unclear. We, therefore, conducted a scoping review on trans men’s health in low-income and middle-income countries (LMICs).MethodsThe review included peer-reviewed articles and conference abstracts, and grey literature published from 1 January 1999 to 5 July 2019 in English, French, Hindi or Spanish and reporting original quantitative and/or qualitative data on the health of trans men or transmasculine persons living in LMIC. Studies were excluded if they did not disaggregate data for trans men or if they only described surgical techniques or laboratory values.ResultsWe included 53 studies (42 peer-reviewed and 11 grey literature) from 19 LMIC. Most were conducted in higher-middle-income countries (n=12) and in Latin America (n=16, 30.2%), the Middle East (n=14, 26.4%) or Sub-Saharan Africa (n=12, 22.6%) and published in 2014 or later (n=44, 83.0%). Approximately half of studies used quantitative methods (52.8%, n=28), of which 64.3% (n=18) had fewer than 50 participants and 14.2% (n=4) had over 150. Across study designs, social determinants of health and gender-affirming care were the most commonly represented domains (49.1% and 47.1% of studies respectively), with common themes including gender-based violence, coercion and discrimination as well as unprescribed hormone use. Other domains represented included mental health (32.1%), sexual and reproductive health (24.5%), general healthcare access (18.9%), physical health (9.4%) and substance use (9.4%).ConclusionGreater inclusion and disaggregation of trans men and transmasculine persons in global health research is needed to support sex- and gender-based analyses of trans health. Community-based research approaches and theoretically driven research may help to increase the relevance and rigour of such research. Funders should invest in research on trans men’s health in LMIC.

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