scholarly journals Socioeconomic Factors Affecting Water Access in Rural Areas of Low and Middle Income Countries

Water ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 202 ◽  
Author(s):  
Mabel Gomez ◽  
Jordi Perdiguero ◽  
Alex Sanz
Keyword(s):  
Socioeconomic Factors ◽  
Low Income ◽  
Rural Areas ◽  
National Income ◽  
Political Stability ◽  
Water Access ◽  
Middle Income ◽  
Middle Income Countries ◽  
Development Goals ◽  
Low And Middle Income

Worldwide, 844 million people still lack access to basic drinking water, especially in the rural areas of low and middle income countries. However, considerable progress has been made in recent years due to work on the Millennium Development Goals and Sustainable Development Goals. Nevertheless, countries’ national characteristics have often impacted on this progress. This paper analyzes whether specific socioeconomic factors affect access to improved water sources in the rural areas of developing countries. In particular, we analyze access to ‘total improved’, piped on premises, as well as other improved sources of access in rural areas for low income, low-middle income, and high-middle income countries. Our results suggest that gross national income (GNI); female primary completion rate; agriculture; growth of rural population; and governance indicators, such as political stability, control of corruption, or regulatory quality are variables related to water access, although specific associations depend on the source of water and income group examined. Understanding these interrelations could be of great importance for decision makers in the water sector as well as for future research on this topic.

Strategies used to establish palliative care in rural low- and middle-income countries: an integrative review

2020 ◽  
Vol 35 (8) ◽  
pp. 1110-1129
Author(s):  
Atsede Aregay ◽  
Margaret O’Connor ◽  
Jill Stow ◽  
Nicola Ayers ◽  
Susan Lee
Keyword(s):  
Palliative Care ◽  
Low Income ◽  
Rural Areas ◽  
Urban Areas ◽  
Care Home ◽  
Sub Saharan Africa ◽  
Integrative Review ◽  
Middle Income ◽  
Middle Income Countries ◽  
Low And Middle Income

Abstract Globally, 40 million people need palliative care; about 69% are people over 60 years of age. The highest proportion (78%) of adults are from low- and middle-income countries (LMICs), where palliative care still developing and is primarily limited to urban areas. This integrative review describes strategies used by LMICs to establish palliative care in rural areas. A rigorous integrative review methodology was utilized using four electronic databases (Ovid MEDLINE, Ovid Emcare, Embase classic+Embase and CINAHL). The search terms were: ‘palliative care’, ‘hospice care’, ‘end of life care’, ‘home-based care’, ‘volunteer’, ‘rural’, ‘regional’, ‘remote’ and ‘developing countries’ identified by the United Nations (UN) as ‘Africa’, ‘Sub-Saharan Africa’, ‘low-income’ and ‘middle- income countries’. Thirty papers published in English from 1990 to 2019 were included. Papers were appraised for quality and extracted data subjected to analysis using a public health model (policy, drug availability, education and implementation) as a framework to describe strategies for establishing palliative care in rural areas. The methodological quality of the reviewed papers was low, with 7 of the 30 being simple programme descriptions. Despite the inclusion of palliative care in national health policy in some countries, implementation in the community was often reliant on advocacy and financial support from non-government organizations. Networking to coordinate care and medication availability near-patient homes were essential features of implementation. Training, role play, education and mentorship were strategies used to support health providers and volunteers. Home- and community-based palliative care services for rural LMICs communities may best be delivered using a networked service among health professionals, community volunteers, religious leaders and technology.

scholarly journals The impact of physician migration on mortality in low and middle-income countries: an economic modelling study

2020 ◽  
Vol 5 (1) ◽  
pp. e001535
Author(s):  
Saurabh Saluja ◽  
Niclas Rudolfson ◽  
Benjamin Ballard Massenburg ◽  
John G Meara ◽  
Mark G Shrime
Keyword(s):  
Low Income ◽  
Excess Mortality ◽  
National Income ◽  
Economic Consequences ◽  
Economic Modelling ◽  
Middle Income ◽  
Physician Migration ◽  
Middle Income Countries ◽  
The Impact ◽  
Low And Middle Income

BackgroundThe WHO estimates a global shortage of 2.8 million physicians, with severe deficiencies especially in low and middle-income countries (LMIC). The unequitable distribution of physicians worldwide is further exacerbated by the migration of physicians from LMICs to high-income countries (HIC). This large-scale migration has numerous economic consequences which include increased mortality associated with inadequate physician supply in LMICs.MethodsWe estimate the economic cost for LMICs due to excess mortality associated with physician migration. To do so, we use the concept of a value of statistical life and marginal mortality benefit provided by physicians. Uncertainty of our estimates is evaluated with Monte Carlo analysis.ResultsWe estimate that LMICs lose US$15.86 billion (95% CI $3.4 to $38.2) annually due to physician migration to HICs. The greatest total costs are incurred by India, Nigeria, Pakistan and South Africa. When these costs are considered as a per cent of gross national income, the cost is greatest in the WHO African region and in low-income countries.ConclusionThe movement of physicians from lower to higher income settings has substantial economic consequences. These are not simply the result of the movement of human capital, but also due to excess mortality associated with loss of physicians. Valuing these costs can inform international and domestic policy discussions that are meant to address this issue.

scholarly journals Socioeconomic Status and Its Relation to Hypertension in Rural Nepal

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Sanju Bhattarai ◽  
Birgit Tandstad ◽  
Archana Shrestha ◽  
Biraj Karmacharya ◽  
Abhijit Sen
Keyword(s):  
Blood Pressure ◽  
Socioeconomic Status ◽  
Socioeconomic Factors ◽  
Low Income ◽  
Lifestyle Factors ◽  
High Income ◽  
Middle Income ◽  
Middle Income Countries ◽  
Rural Nepal ◽  
Low And Middle Income

Introduction. Hypertension and its association with socioeconomic positions are well established. However, the gradient of these relationships and the mediating role of lifestyle factors among rural population in low- and middle-income countries such as Nepal are not fully understood. We sought to assess the association between socioeconomic factors (education, income, and employment status) and hypertension. Also, we assessed whether the effect of education and income level on hypertension was mediated by lifestyle factors. Methods. This cross-sectional study was conducted among 260 participants aged ≥18 years attending a rural health center in Dolakha, Nepal. Self-reported data on demographic, socioeconomic, and lifestyle factors were collected, and blood pressure, weight, and height were measured for all study participants. Those with systolic blood pressure ≥140 mm Hg or diastolic blood pressure ≥90 mm Hg or administrating high blood pressure-lowering medicines were regarded as hypertensives. Poisson regression models were used to estimate the prevalence ratios and corresponding 95% confidence intervals to assess the association between socioeconomic factors and hypertension. We explored mediation, using the medeff command in Stata for causal mediation analysis of nonlinear models. Results. Of the 50 hypertensive participants, sixty percent were aware of their status. The age-standardized prevalence of hypertension was two times higher for those with higher education or high-income category. Compared to low-income and unemployed groups, the prevalence ratio of hypertension was 1.33 and 2.26 times more for those belonging to the high-income and employed groups, respectively. No evidence of mediation by lifestyle factors was observed between socioeconomic status and hypertension. Conclusions. Socioeconomic positions were positively associated with hypertension prevalence in rural Nepal. Further studies using longitudinal settings are necessary to validate our findings especially in low- and middle-income countries such as Nepal.

scholarly journals Tuberculosis and Non-Communicable Disease Multimorbidity: An Analysis of the World Health Survey in 48 Low- and Middle-Income Countries

2021 ◽  
Vol 18 (5) ◽  
pp. 2439
Author(s):  
Brendon Stubbs ◽  
Kamran Siddiqi ◽  
Helen Elsey ◽  
Najma Siddiqi ◽  
Ruimin Ma ◽  
...  
Keyword(s):  
Health Survey ◽  
Low Income ◽  
World Health ◽  
Low Income Countries ◽  
Multivariable Logistic Regression Analysis ◽  
World Health Survey ◽  
Middle Income ◽  
Middle Income Countries ◽  
The World ◽  
Low And Middle Income

Tuberculosis (TB) is a leading cause of mortality in low- and middle-income countries (LMICs). TB multimorbidity [TB and ≥1 non-communicable diseases (NCDs)] is common, but studies are sparse. Cross-sectional, community-based data including adults from 21 low-income countries and 27 middle-income countries were utilized from the World Health Survey. Associations between 9 NCDs and TB were assessed with multivariable logistic regression analysis. Years lived with disability (YLDs) were calculated using disability weights provided by the 2017 Global Burden of Disease Study. Eight out of 9 NCDs (all except visual impairment) were associated with TB (odds ratio (OR) ranging from 1.38–4.0). Prevalence of self-reported TB increased linearly with increasing numbers of NCDs. Compared to those with no NCDs, those who had 1, 2, 3, 4, and ≥5 NCDs had 2.61 (95% confidence interval (CI) = 2.14–3.22), 4.71 (95%CI = 3.67–6.11), 6.96 (95%CI = 4.95–9.87), 10.59 (95%CI = 7.10–15.80), and 19.89 (95%CI = 11.13–35.52) times higher odds for TB. Among those with TB, the most prevalent combinations of NCDs were angina and depression, followed by angina and arthritis. For people with TB, the YLDs were three times higher than in people without multimorbidity or TB, and a third of the YLDs were attributable to NCDs. Urgent research to understand, prevent and manage NCDs in people with TB in LMICs is needed.

scholarly journals Breast Cancer in Low- and Middle-Income Countries: An Emerging and Challenging Epidemic

2010 ◽  
Vol 2010 ◽  
pp. 1-5 ◽  
Author(s):  
Arafat Tfayli ◽  
Sally Temraz ◽  
Rachel Abou Mrad ◽  
Ali Shamseddine
Keyword(s):  
Breast Cancer ◽  
Health Care ◽  
Low Income ◽  
Therapeutic Interventions ◽  
Low Income Countries ◽  
Middle Income ◽  
Major Health ◽  
Middle Income Countries ◽  
Low And Middle Income

Breast cancer is a major health care problem that affects more than one million women yearly. While it is traditionally thought of as a disease of the industrialized world, around 45% of breast cancer cases and 55% of breast cancer deaths occur in low and middle income countries. Managing breast cancer in low income countries poses a different set of challenges including access to screening, stage at presentation, adequacy of management and availability of therapeutic interventions. In this paper, we will review the challenges faced in the management of breast cancer in low and middle income countries.

scholarly journals Toward Model-Generated Household Listing in Low- and Middle-Income Countries Using Deep Learning

2018 ◽  
Vol 7 (11) ◽  
pp. 448 ◽  
Author(s):  
Robert Chew ◽  
Kasey Jones ◽  
Jennifer Unangst ◽  
James Cajka ◽  
Justine Allpress ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Object Detection ◽  
Household Surveys ◽  
Building Structures ◽  
Middle Income ◽  
The Sustainable Development ◽  
Detection Model ◽  
Middle Income Countries ◽  
Development Goals ◽  
Low And Middle Income

While governments, researchers, and NGOs are exploring ways to leverage big data sources for sustainable development, household surveys are still a critical source of information for dozens of the 232 indicators for the Sustainable Development Goals (SDGs) in low- and middle-income countries (LMICs). Though some countries’ statistical agencies maintain databases of persons or households for sampling, conducting household surveys in LMICs is complicated due to incomplete, outdated, or inaccurate sampling frames. As a means to develop or update household listings in LMICs, this paper explores the use of machine learning models to detect and enumerate building structures directly from satellite imagery in the Kaduna state of Nigeria. Specifically, an object detection model was used to identify and locate buildings in satellite images. In the test set, the model attained a mean average precision (mAP) of 0.48 for detecting structures, with relatively higher values in areas with lower building density (mAP = 0.65). Furthermore, when model predictions were compared against recent household listings from fieldwork in Nigeria, the predictions showed high correlation with household coverage (Pearson = 0.70; Spearman = 0.81). With the need to produce comparable, scalable SDG indicators, this case study explores the feasibility and challenges of using object detection models to help develop timely enumerated household lists in LMICs.

scholarly journals Co-morbid anaemia and stunting among children of pre-school age in low- and middle-income countries: a syndemic

2018 ◽  
Vol 22 (1) ◽  
pp. 35-43 ◽  
Author(s):  
Thach Duc Tran ◽  
Beverley-Ann Biggs ◽  
Sara Holton ◽  
Hau Thi Minh Nguyen ◽  
Sarah Hanieh ◽  
...  
Keyword(s):  
Rural Areas ◽  
Secondary Analysis ◽  
Logistic Models ◽  
Demographic And Health Surveys ◽  
Healthy Children ◽  
Middle Income ◽  
Disadvantaged Children ◽  
Middle Income Countries ◽  
Co Morbidity ◽  
Low And Middle Income

AbstractObjectiveTo determine the prevalence of co-morbidity of two important global health challenges, anaemia and stunting, among children aged 6–59 months in low- and middle-income countries.DesignSecondary analysis of data from Demographic and Health Surveys (DHS) conducted 2005–2015. Child stunting and anaemia were defined using current WHO classifications. Sociodemographic characteristics of children with anaemia, stunting and co-morbidity of these conditions were compared with those of ‘healthy’ children in the sample (children who were not stunted and not anaemic) using multiple logistic models.SettingLow- and middle-income countries.SubjectsChildren aged 6–59 months.ResultsData from 193 065 children from forty-three countries were included. The pooled proportion of co-morbid anaemia and stunting was 21·5 (95 % CI 21·2, 21·9) %, ranging from the lowest in Albania (2·6 %; 95 % CI 1·8, 3·7 %) to the highest in Yemen (43·3; 95 % CI 40·6, 46·1 %). Compared with the healthy group, children with co-morbidity were more likely to be living in rural areas, have mothers or main carers with lower educational levels and to live in poorer households. Inequality in children who had both anaemia and stunting was apparent in all countries.ConclusionsCo-morbid anaemia and stunting among young children is highly prevalent in low- and middle-income countries, especially among more disadvantaged children. It is suggested that they be considered under a syndemic framework, the Childhood Anaemia and Stunting (CHAS) Syndemic, which acknowledges the interacting nature of these diseases and the social and environmental factors that promote their negative interaction.

Maternal morbidity

2018 ◽  
pp. 112-116
Author(s):  
Mary McCauley ◽  
Nynke van den Broek
Keyword(s):  
Sustainable Development ◽  
Maternal Health ◽  
Maternal Mortality ◽  
Maternal Morbidity ◽  
Reproductive Age ◽  
Middle Income ◽  
Middle Income Countries ◽  
Health And Wellbeing ◽  
Development Goals ◽  
Low And Middle Income

Maternal morbidity describes complications that have a significant effect on women during and after pregnancy, and are a leading cause of ill-health among women of reproductive age, especially in low- and middle-income countries. With the introduction of the new Sustainable Development Goals, the scope of global maternal health targets has been expanded, moving from a focus on preventing maternal mortality to formulating targets and emphasising the importance of maternal health and wellbeing. This chapter introduces the new concept of maternal morbidity, suggests how this relates to maternal mortality, and summarises what is known about the burden of maternal morbidity globally and what interventions and research are needed to improve maternal health during and after pregnancy, with an emphasis on the context of low- and middle-income countries.

scholarly journals Psychological interventions for bipolar disorder in low- and middle-income countries: systematic review

BJPsych Open ◽  
2018 ◽  
Vol 4 (5) ◽  
pp. 375-384 ◽  
Author(s):  
Mekdes Demissie ◽  
Charlotte Hanlon ◽  
Rahel Birhane ◽  
Lauren Ng ◽  
Girmay Medhin ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Systematic Review ◽  
Bipolar Disorder ◽  
Low Income ◽  
Hospital Admissions ◽  
Psychological Interventions ◽  
Middle Income ◽  
Middle Income Countries ◽  
Low And Middle Income

BackgroundAdjunctive psychological interventions for bipolar disorder have demonstrated better efficacy in preventing or delaying relapse and improving outcomes compared with pharmacotherapy alone.AimsTo evaluate the efficacy of psychological interventions for bipolar disorder in low- and middle-income countries.MethodA systematic review was conducted using PubMed, PsycINFO, Medline, EMBASE, Cochrane database for systematic review, Cochrane central register of controlled trials, Latin America and Caribbean Center on Health Science Literature and African Journals Online databases with no restriction of language or year of publication. Methodological heterogeneity of studies precluded meta-analysis.ResultsA total of 18 adjunctive studies were identified: psychoeducation (n = 14), family intervention (n = 1), group cognitive–behavioural therapy (CBT) (n = 2) and group mindfulness-based cognitive therapy (MBCT) (n = 1). In total, 16 of the 18 studies were from upper-middle-income countries and none from low-income countries. All used mental health specialists or experienced therapists to deliver the intervention. Most of the studies have moderately high risk of bias. Psychoeducation improved treatment adherence, knowledge of and attitudes towards bipolar disorder and quality of life, and led to decreased relapse rates and hospital admissions. Family psychoeducation prevented relapse, decreased hospital admissions and improved medication adherence. CBT reduced both depressive and manic symptoms. MBCT reduced emotional dysregulation.ConclusionsAdjunctive psychological interventions alongside pharmacotherapy appear to improve the clinical outcome and quality of life of people with bipolar disorder in middle-income countries. Further studies are required to investigate contextual adaptation and the role of non-specialists in the provision of psychological interventions to ensure scalability and the efficacy of these interventions in low-income country settings.Declaration of interestNone.

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