Publications
515 results found
Tan BY, Goh ZZS, Lim CJ, et al., 2023, Singapore KneE osTeoarthritis CoHort (SKETCH): protocol for a multi-centre prospective cohort study., BMC Musculoskelet Disord, Vol: 24
BACKGROUND: Knee osteoarthritis (OA) is a leading cause of global disability. The understanding of the role of psychosocial factors in knee OA outcomes is still evolving particularly in an Asian context. The primary aim of this study is to explore psychosocial factors that prognosticate short and long-term clinical outcomes, productivity, and healthcare utilization in patients with knee OA. Secondary aims are to explore the mediation and directional relationships and the role it plays in predicting the discordance between self-reported measures (SRM), physical-performance measures (PPMs) and objective clinical parameters. METHODS: A multi-centre prospective cohort study of community ambulant knee OA patients seeking treatment in the tertiary healthcare institutions in Singapore will be conducted. Patients with secondary arthritis, significant cognitive impairment, severe medical comorbidities or previous knee arthroplasty will be excluded. Primary clinical outcome measure is the Knee injury and OA Outcome Score-12 (KOOS-12). Baseline characteristics include sociodemographic status, arthritis status including symptom duration and radiographic severity, comorbidities and functional status through Charlson Comorbidities Index (CCI), Barthel Index (BI) and Parker Mobility Score (PMS). Psychosocial variables include social support, kinesiophobia, negative affect, self-efficacy, injustice, chronic illness shame and the built environment. Clinical outcomes include quality of life, physical performance, global assessment, satisfaction and physical activity levels. Productivity and healthcare utilization will be assessed by a modified OA Cost and Consequences Questionnaire (OCC-Q) and the Work Productivity and Activity Impairment Questionnaire (WPAI). Variables will be collected at baseline, 4, 12 months and yearly thereafter. Regression, mediation and structural equation modelling will be used for analysis. DISCUSSION: Results will allow contextualization, identificati
Teixeira F, Li E, Laranjo L, et al., 2023, Digital maturity and its determinants in General Practice: a cross- sectional study in 20 countries, Frontiers in Public Health, Vol: 10, Pages: 1-10, ISSN: 2296-2565
Background: The extent to which digital technologies are employed to promote the delivery of high-quality healthcare is known as Digital Maturity. Individual and systemic digital maturity are both necessary to ensure a successful, scalable and sustainable digital transformation in healthcare. However, digital maturity in primary care has been scarcely evaluated.Objectives: This study assessed the digital maturity in General Practice (GP) globally and evaluated its association with participants' demographic characteristics, practice characteristics and features of Electronic Health Records (EHRs) use.Methods: GPs across 20 countries completed an online questionnaire between June and September 2020. Demographic data, practice characteristics, and features of EHRs use were collected. Digital maturity was evaluated through a framework based on usage, resources and abilities (divided in this study in its collective and individual components), interoperability, general evaluation methods and impact of digital technologies. Each dimension was rated as 1 or 0. The digital maturity score was calculated as the sum of the six dimensions and ranged between 0 to 6 (maximum digital maturity). Multivariable linear regression was used to model the total score, while multivariable logistic regression was used to model the probability of meeting each dimension of the score.Results: One thousand six hundred GPs (61% female, 68% Europeans) participated. GPs had a median digital maturity of 4 (P25–P75: 3–5). Positive associations with digital maturity were found with: male gender [B = 0.18 (95% CI 0.01; 0.36)], use of EHRs for longer periods [B = 0.45 (95% CI 0.35; 0.54)] and higher frequencies of access to EHRs [B = 0.33 (95% CI 0.17; 0.48)]. Practicing in a rural setting was negatively associated with digital maturity [B = −0.25 (95%CI −0.43; −0.08)]. Usage (90%) was the most acknowledged dimension while interoperability (47%) and use of best practice gen
Martinengo L, Lum E, Car J, 2022, Evaluation of chatbot-delivered interventions for self-management of depression: Content analysis, JOURNAL OF AFFECTIVE DISORDERS, Vol: 319, Pages: 598-607, ISSN: 0165-0327
Reiner RC, LBD Triple Burden Collaborators, Hay SI, 2022, The overlapping burden of the three leading causes of disability and death in sub-Saharan African children., Nat Commun, Vol: 13
Despite substantial declines since 2000, lower respiratory infections (LRIs), diarrhoeal diseases, and malaria remain among the leading causes of nonfatal and fatal disease burden for children under 5 years of age (under 5), primarily in sub-Saharan Africa (SSA). The spatial burden of each of these diseases has been estimated subnationally across SSA, yet no prior analyses have examined the pattern of their combined burden. Here we synthesise subnational estimates of the burden of LRIs, diarrhoea, and malaria in children under-5 from 2000 to 2017 for 43 sub-Saharan countries. Some units faced a relatively equal burden from each of the three diseases, while others had one or two dominant sources of unit-level burden, with no consistent pattern geographically across the entire subcontinent. Using a subnational counterfactual analysis, we show that nearly 300 million DALYs could have been averted since 2000 by raising all units to their national average. Our findings are directly relevant for decision-makers in determining which and targeting where the most appropriate interventions are for increasing child survival.
Fadahunsi KP, Wark PA, Mastellos N, et al., 2022, Assessment of clinical information quality in digital health technologies: an international eDelphi study, Journal of Medical Internet Research, Vol: 24, Pages: 1-10, ISSN: 1438-8871
Background:Digital health technologies (DHTs), such as electronic health records and prescribing systems, are transforming health care delivery around the world. The quality of information in DHTs is key to the quality and safety of care. We developed a novel clinical information quality (CLIQ) framework to assess the quality of clinical information in DHTs.Objective:This study explored clinicians’ perspectives on the relevance, definition, and assessment of information quality dimensions in the CLIQ framework.Methods:We used a systematic and iterative eDelphi approach to engage clinicians who had information governance roles or personal interest in information governance; the clinicians were recruited through purposive and snowball sampling techniques. Data were collected using semistructured online questionnaires until consensus was reached on the information quality dimensions in the CLIQ framework. Responses on the relevance of the dimensions were summarized to inform decisions on retention of the dimensions according to prespecified rules. Thematic analysis of the free-text responses was used to revise definitions and the assessment of dimensions.Results:Thirty-five clinicians from 10 countries participated in the study, which was concluded after the second round. Consensus was reached on all dimensions and categories in the CLIQ framework: informativeness (accuracy, completeness, interpretability, plausibility, provenance, and relevance), availability (accessibility, portability, security, and timeliness), and usability (conformance, consistency, and maintainability). A new dimension, searchability, was introduced in the availability category to account for the ease of finding needed information in the DHTs. Certain dimensions were renamed, and some definitions were rephrased to improve clarity.Conclusions:The CLIQ framework reached a high expert consensus and clarity of language relating to the information quality dimensions. The framework can be used b
Amornsriwatanakul A, Rahman HA, Wattanapisit A, et al., 2022, University students' overall and domain-specific physical activity during COVID-19: A cross-sectional study in seven ASEAN countries., Heliyon, Vol: 8, ISSN: 2405-8440
This research investigated the overall and domain-specific physical activity (PA) of university students in the coronavirus disease 2019 (COVID-19) pandemic. A cross-sectional study was applied to socioeconomic (SE) and PA online data collected from 15,366 students across 17 universities in seven Association of Southeast Asian Nations (ASEAN) countries. Statistical analyses using logistic regressions established SE-PA relationships. Over half (60.3%) of ASEAN university students met age-span specific PA guidelines. Students participated in recreational PA the most, followed by study-related activities and 44.1% of students engaged in >8 hrs/day of sedentary time (ST). Compared to students with a normal body mass index (BMI), students who were underweight (UW), overweight (OW), and obese (OB) respectively, had a 14% (UW odds ratio (OR) = 1.14, p = 0.005), 25% (OW OR = 1.25, p < 0.001), and 24% (OB OR = 1.24, p = 0.005) greater probability of meeting PA guidelines. Those who engaged in active transport and belonged to a sports club (SC) had 42% (SC OR = 0.58, p < 0.001, for both) less probability of meeting the PA guidelines, compared with those who travelled inactively and did not belong to a sports club, respectively. Students who participated in 4-6 sport or exercise activities had ten times more likelihood of meeting PA guidelines (OR = 10.15, p < 0.001), compared with those who did not play any sport or do any exercise. Students who spent >8 hrs/day of ST had 32% (ST OR = 0.68, p < 0.001) less probability of meeting PA guidelines, compared with those who spent <3 hrs of ST. These data showed that over half of ASEAN university students achieved PA guidelines and were highly sedentary during the COVID-19 pandemic. Recreational and study-related activities were important for students to maintain sufficient PA and should be actively promoted within the restrictions imposed during periods of the COVID-19 pandemic lockdowns.
Lo ZJ, Tan E, Chandrasekar S, et al., 2022, Diabetic foot in primary and tertiary (DEFINITE) Care: A health services innovation in coordination of diabetic foot ulcer (DFU) Care within a healthcare cluster-18-month results from an observational population health cohort study, INTERNATIONAL WOUND JOURNAL, ISSN: 1742-4801
Lee KFA, Lee EH, Roberts AC, et al., 2022, Effects of fun-seeking and external locus of control on smoking behaviour: a cross-sectional analysis on a cohort of working men in Singapore, BMJ OPEN, Vol: 12, ISSN: 2044-6055
Wattanapisit A, Abdul Rahman H, Car J, et al., 2022, The clusters of health-risk behaviours and mental wellbeing and their sociodemographic correlates: a study of 15,366 ASEAN university students, BMC PUBLIC HEALTH, Vol: 22
Frostad JJ, Nguyen QP, Baumann MM, et al., 2022, Mapping development and health effects of cooking with solid fuels in low-income and middle-income countries, 2000–18: a geospatial modelling study, The Lancet Global Health, Vol: 10, Pages: e1395-e1411, ISSN: 2214-109X
BackgroundMore than 3 billion people do not have access to clean energy and primarily use solid fuels to cook. Use of solid fuels generates household air pollution, which was associated with more than 2 million deaths in 2019. Although local patterns in cooking vary systematically, subnational trends in use of solid fuels have yet to be comprehensively analysed. We estimated the prevalence of solid-fuel use with high spatial resolution to explore subnational inequalities, assess local progress, and assess the effects on health in low-income and middle-income countries (LMICs) without universal access to clean fuels.MethodsWe did a geospatial modelling study to map the prevalence of solid-fuel use for cooking at a 5 km × 5 km resolution in 98 LMICs based on 2·1 million household observations of the primary cooking fuel used from 663 population-based household surveys over the years 2000 to 2018. We use observed temporal patterns to forecast household air pollution in 2030 and to assess the probability of attaining the Sustainable Development Goal (SDG) target indicator for clean cooking. We aligned our estimates of household air pollution to geospatial estimates of ambient air pollution to establish the risk transition occurring in LMICs. Finally, we quantified the effect of residual primary solid-fuel use for cooking on child health by doing a counterfactual risk assessment to estimate the proportion of deaths from lower respiratory tract infections in children younger than 5 years that could be associated with household air pollution.FindingsAlthough primary reliance on solid-fuel use for cooking has declined globally, it remains widespread. 593 million people live in districts where the prevalence of solid-fuel use for cooking exceeds 95%. 66% of people in LMICs live in districts that are not on track to meet the SDG target for universal access to clean energy by 2030. Household air pollution continues to be a major contributor to particulate exposure
Osman T, Lew E, Sng BL, et al., 2022, Assessment of inter-rater agreement of the American Society of Anesthesiologists physical status classification system in a women's tertiary hospital An observational study, EUROPEAN JOURNAL OF ANAESTHESIOLOGY, Vol: 39, Pages: 787-788, ISSN: 0265-0215
Rahman HA, Amornsriwatanakul A, Abdul-Mumin KH, et al., 2022, Prevalence of Health-Risk Behaviors and Mental Well-Being of ASEAN University Students in COVID-19 Pandemic, INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, Vol: 19
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Surendran S, Foo CD, Matchar DB, et al., 2022, Developing integration among stakeholders in the primary care networks of Singapore: a qualitative study, BMC HEALTH SERVICES RESEARCH, Vol: 22
Li E, Tsopra R, Jimenez G, et al., 2022, General practitioners’ perceptions of using virtual primary care during the COVID-19 pandemic: An international cross-sectional survey study, PLOS Digital Health, Vol: 1, Pages: 1-23, ISSN: 2767-3170
With the onset of COVID-19, general practitioners (GPs) and patients worldwide swiftly transitioned from face-to-face to digital remote consultations. There is a need to evaluate how this global shift has impacted patient care, healthcare providers, patient and carer experience, and health systems. We explored GPs’ perspectives on the main benefits and challenges of using digital virtual care. GPs across 20 countries completed an online questionnaire between June–September 2020. GPs’ perceptions of main barriers and challenges were explored using free-text questions. Thematic analysis was used to analyse the data. A total of 1,605 respondents participated in our survey. The benefits identified included reducing COVID-19 transmission risks, guaranteeing access and continuity of care, improved efficiency, faster access to care, improved convenience and communication with patients, greater work flexibility for providers, and hastening the digital transformation of primary care and accompanying legal frameworks. Main challenges included patients’ preference for face-to-face consultations, digital exclusion, lack of physical examinations, clinical uncertainty, delays in diagnosis and treatment, overuse and misuse of digital virtual care, and unsuitability for certain types of consultations. Other challenges include the lack of formal guidance, higher workloads, remuneration issues, organisational culture, technical difficulties, implementation and financial issues, and regulatory weaknesses. At the frontline of care delivery, GPs can provide important insights on what worked well, why, and how during the pandemic. Lessons learned can be used to inform the adoption of improved virtual care solutions and support the long-term development of platforms that are more technologically robust and secure.
Lee KFA, Chan E, Car J, et al., 2022, Lowering the Sampling Rate: Heart Rate Response during Cognitive Fatigue, BIOSENSORS-BASEL, Vol: 12
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Dutta O, Tan-Ho G, Low XC, et al., 2022, Acceptability and feasibility of a pilot randomized controlled trial of Narrative e-Writing Intervention (NeW-I) for parent-caregivers of children with chronic life-threatening illnesses in Singapore, BMC PALLIATIVE CARE, Vol: 21, ISSN: 1472-684X
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- Citations: 2
Fadahunsi P, Wark P, Mastellos N, et al., 2022, Clinical information quality of digital health technologies: protocol for an international eDelphi study, BMJ Open, Vol: 12, ISSN: 2044-6055
Introduction Digital health technologies (DHTs) such as electronic health records, clinical decision support systems and electronic prescribing systems are widely used in healthcare. While adoption of DHTs can improve healthcare delivery, information quality (IQ) problems associated with DHTs can compromise quality and safety of care. The clinical information quality (CLIQ) framework for digital health is a novel approach to assessing the quality of clinical information from DHTs. This study aims to appraise the CLIQ framework by exploring clinicians’ perspectives on the relevance, definition and assessment of IQ dimensions as defined in the framework. This study will adapt the CLIQ framework to the needs of clinical information users—the clinicians. The contextualised CLIQ framework will offer a pragmatic approach to assessing clinical information from DHTs and may help to forestall IQ problems that can compromise quality and safety of care.Methods and analysis The electronic Delphi (eDelphi) approach will be used to engage a heterogeneous group of clinicians with patient-facing and/or information governance roles recruited through purposive and snowball sampling techniques. A semi-structured online questionnaire will be used to explore clinicians’ perspectives on relevance, definition and assessment of IQ dimensions in the CLIQ framework. Survey responses on the relevance of dimensions will be summarised using descriptive statistics to inform decisions on retention of dimensions and termination of the study, based on pre-specified rules. Analysis of the free-text responses will be used to revise definition and assessment of dimensions.Ethics and dissemination Ethics approval has been obtained from the Imperial College Research Governance and Integrity Team (Imperial College Research Ethics Committee (ICREC) Reference number: 20IC6396). The results of the study will be published in a peer-reviewed journal and presented at scientific conferences.
Surendran S, De Foo C, Tam CH, et al., 2022, Reply to Ngoh et al. Comment on "Surendran et al. The Missed Opportunity of Patient-Centered Medical Homes to Thrive in an Asian Context. Int. J. Environ. Res. Public Health 2021, 18, 1817", INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, Vol: 19
Osman T, Lew E, Sng BL, et al., 2022, Delphi consensus on the American Society of Anesthesiologists' physical status classification in an Asian tertiary women's hospital, KOREAN JOURNAL OF ANESTHESIOLOGY, Vol: 75, Pages: 168-177, ISSN: 2005-6419
Essen A, Stern AD, Haase CB, et al., 2022, Health app policy: international comparison of nine countries' approaches, NPJ DIGITAL MEDICINE, Vol: 5, ISSN: 2398-6352
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- Citations: 8
Tudor Car L, 2022, Digital education for health professionals: An evidence map, conceptual framework and research agenda, Journal of Medical Internet Research, Vol: 24, Pages: 1-21, ISSN: 1438-8871
BackgroundHealth professions education has undergone major changes with the advent and adoption of digital technologies worldwide. To enable robust and relevant research in digital health professions education, it is essential to map the existing evidence, identify gaps and research priorities.MethodsWe searched for systematic reviews on digital education of practicing and student healthcare professionals. We searched Medline, Embase, Cochrane Library, ERIC, CINAHL, and grey literature sources from January 2014 to July 2020. Two authors independently screened the studies, extracted the data, and synthesized the findings. We outlined the key characteristics of the included reviews, the quality of the evidence they synthesized, and recommendations for future research. We mapped the empiric findings and research recommendations against a newly developed conceptual framework. ResultsWe identified 77 eligible systematic reviews. All included experimental studies and evaluated the effectiveness of digital education interventions in different healthcare disciplines or of different digital education modalities. Most reviews included studies on various digital education modalities (N=22), virtual reality (N=19) and online education (N=10). Most reviews focused on health professions education in general (N=36), surgery (N=13) and nursing (N=11). The reviews mainly assessed participants’ skills (N=51) and knowledge (N=49) and included data from high-income countries (N=53). Our novel conceptual framework of digital health professions education comprises six key domains (context, infrastructure, education, learners, research, and quality improvement) and 16 subdomains. Finally, we identified in these reviews 61 unique questions for future research; these mapped to framework domains of education (29 recommendations), context (17), infrastructure (9), learners (3), and research (3). Conclusions We have identified a large number of research questions regarding digital educat
Martinengo L, Stona A-C, Car LT, et al., 2022, Education on Depression in Mental Health Apps: Systematic Assessment of Characteristics and Adherence to Evidence-Based Guidelines, JOURNAL OF MEDICAL INTERNET RESEARCH, Vol: 24, ISSN: 1438-8871
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Bene B, Ibeneme S, Fadahunsi KP, et al., 2022, Regulatory standards and guidance for the use of health applications for self-management in Africa: scoping review protocol, BMJ Open, Vol: 12, ISSN: 2044-6055
Introduction: Despite health applications becoming ubiquitous and with enormous potential to facilitate self-management, regulatory challenges such as poor application quality, breach of data privacy and limited interoperability have impeded their full adoption. While many countries now have digital health-related policies/strategies, there is also a need for regulatory standards and guidance that address key regulatory challenges associated with the use of health applications. Currently, it is unclear the status of countries in Africa regarding regulatory standards and guidance that address the use of health applications.This protocol describes the process of conducting a scoping review which aims to investigate the extent to which regulatory standards and guidance address the use of health applications for self-management within the WHO African Region countries.Methods: The review will follow the methodological framework for conducting a scoping study by Arksey and O’Malley (2005), and the updated methodological guidance for conducting a Joanna Briggs Institute (JBI) scoping review. Given that regulatory standards and guidance are unlikely to be available in scientific databases, we will search Scopus, Google, OpenGrey, WHO Regional Office for Africa Library (AFROLIB), African Index Medicus (AIM), websites of WHO, ITU and Ministries of Health, repositories for digital health policies. We will also search the reference lists of included documents, and contact key stakeholders in the region. Results will be reported using descriptive qualitative content analysis based on the review objectives. The policy analysis framework by Walt and Gilson (1994) will be used to organise findings. A summary of the key findings will be presented using tables, charts and maps.Ethics and dissemination: The collection of primary data is not anticipated in this study and hence ethical approval will not be required. The review will be published in a peer-reviewed journal while key
Alom Z, Azim MA, Aung Z, et al., 2022, Early Stage Detection of Heart Failure Using Machine Learning Techniques, Lecture Notes on Data Engineering and Communications Technologies, Pages: 75-88
With a devastating health impact, heart attack prediction is an essential aspect of human health due to well understood early heart attack symptoms. The recent advancement of Artificial Intelligence (AI) and Machine learning (ML) provides a significant part in illness detection as well as prediction upon many phenomena. This makes AI and ML great techniques to predict heart attack prediction. This research chose the well-known Logistic Regression (LR), Naive Bayes (NB), Random Forest (RF), Decision Tree (DT), Support Vector Machine (SVM), and k-Nearest Neighbor (k-NN) algorithms to predict heart attacks. A comparative study of the algorithmic performances is performed to identify the best algorithm that could be useful in the clinical decisions system.
Graetz N, Woyczynski L, Wilson KF, et al., 2021, Mapping routine measles vaccination in low- and middle-income countries, NATURE, ISSN: 0028-0836
Zhu X, Olsson MM, Bajpai R, et al., 2021, Health-related quality of life and chronic wound characteristics among patients with chronic wounds treated in primary care: A cross-sectional study in Singapore, INTERNATIONAL WOUND JOURNAL, Vol: 19, Pages: 1121-1132, ISSN: 1742-4801
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Tan BY, Thach T, Munro YL, et al., 2021, Complex Lifestyle and Psychological Intervention in Knee Osteoarthritis: Scoping Review of Randomized Controlled Trials, INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, Vol: 18
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Jimenez G, Matchar D, Koh GCH, et al., 2021, Revisiting the four core functions (4Cs) of primary care: operational definitions and complexities, PRIMARY HEALTH CARE RESEARCH AND DEVELOPMENT, Vol: 22, ISSN: 1463-4236
Udeh-Momoh C, Watermeyer T, Sindi S, et al., 2021, Health, lifestyle and psycho-social determinants of poor sleep quality during the Early Phase of the COVID-19 pandemic: a focus on UK older adults deemed clinically extremely vulnerable, Frontiers in Public Health, Vol: 9, Pages: 1-11, ISSN: 2296-2565
Background: Several studies have assessed the impact of COVID-19-relatedlockdownson sleep quality across global populations. However, no study to date has specifically assessed at-riskpopulations, particularly those at highest risk of complications from coronavirus infection deemed “clinically-extremely-vulnerable-(COVID-19CEV)” [as defined by Public Health England, 2020].Methods: In this cross-sectional study, we surveyed 5,558 adults aged ≥50 years (of whom 523 met criteria for COVID-19CEV) during the first pandemic wave that resulted in a nationwide-lockdown (April-June 2020) with assessments of sleep quality (an adapted sleep scale that captured multiple sleep indices before and during the lockdown), health/medical, lifestyle, psychosocial and socio demographic factors. We examined associations between these variablesand sleep quality;and explored interactions of COVID-19CEV status with significant predictors of poor sleep,to identify potential moderating factors. Results: 37% of participants reported poor sleep quality which was associated with younger age, female sex and multimorbidity. Significant associations with poor sleep included health/medical factors: COVID-19 CEV status, higher BMI, arthritis, pulmonary disease, and mental health disorders; and the following lifestyle and psychosocial factors: living alone, higher alcohol consumption, an unhealthy diet and higher depressive and anxiety symptoms. Moderators of the negative relationship between COVID-19 CEV status and good sleep quality were marital status, loneliness, anxiety and diet. Within this subgroup, less anxious and less lonely males, as well as females with healthier diets, reported better sleep. Conclusions: Sleep quality in older adults was compromised during the sudden unprecedented nation-wide lockdown due to distinct modifiable factors. An important contribution of our study is the assessment of a &ldquo
Kinyoki D, Osgood-Zimmerman AE, Bhattacharjee NV, et al., 2021, Anemia prevalence in women of reproductive age in low- and middle-income countries between 2000 and 2018, Nature Medicine, Vol: 27, Pages: 1761-1782, ISSN: 1078-8956
Anemia is a globally widespread condition in women and is associated with reduced economic productivity and increased mortality worldwide. Here we map annual 2000–2018 geospatial estimates of anemia prevalence in women of reproductive age (15–49 years) across 82 low- and middle-income countries (LMICs), stratify anemia by severity and aggregate results to policy-relevant administrative and national levels. Additionally, we provide subnational disparity analyses to provide a comprehensive overview of anemia prevalence inequalities within these countries and predict progress toward the World Health Organization’s Global Nutrition Target (WHO GNT) to reduce anemia by half by 2030. Our results demonstrate widespread moderate improvements in overall anemia prevalence but identify only three LMICs with a high probability of achieving the WHO GNT by 2030 at a national scale, and no LMIC is expected to achieve the target in all their subnational administrative units. Our maps show where large within-country disparities occur, as well as areas likely to fall short of the WHO GNT, offering precision public health tools so that adequate resource allocation and subsequent interventions can be targeted to the most vulnerable populations.
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