The effectiveness of contract farming for raising income of smallholder farmers in low‐ and middle‐income countries: a systematic review

Evidence demonstrating the economic burden of violence against women and girls can support policy and advocacy efforts for investment in violence prevention and response programming. We undertook a systematic review of evidence on the costs of violence against women and girls in low- and middle-income countries published since 2005. In addition to understanding costs, we examined the consistency of methodological approaches applied and identified and assessed common methodological issues. Thirteen articles were identified, eight of which were from sub-Saharan Africa. Eight studies estimated costs associated with domestic or intimate partner violence, others estimated the costs of interpersonal violence, female genital cutting, and sexual assaults. Methodologies applied to estimate costs were typically based on accounting approaches. Our review found that out-of-pocket expenditures to individuals for seeking health care after an episode of violence ranged from US$29.72 (South Africa) to US$156.11 (Romania) and that lost productivity averaged from US$73.84 to US$2,151.48 (South Africa) per facility visit. Most studies that estimated provider costs of service delivery presented total programmatic costs, and there was variation in interventions, scale, and resource inputs measured which hampered comparability. Variations in methodological assumptions and data availability also made comparisons across countries and settings challenging. The limited scope of studies in measuring the multifaceted impacts of violence highlights the challenges in identifying cost metrics that extend beyond specific violence episodes. Despite the limited evidence base, our assessment leads us to conclude that the estimated costs of violence against women and girls are a fraction of its true economic burden.

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Prevalence and Risk of Mild Cognitive Impairment in Low and Middle-Income Countries: A Systematic Review

Journal of Alzheimer s Disease ◽

10.3233/jad-201043 ◽

2020 ◽

pp. 1-20

Author(s):

Andrea M. McGrattan ◽

Yueping Zhu ◽

Connor D. Richardson ◽

Devi Mohan ◽

Yee Chang Soh ◽

...

Keyword(s):

Systematic Review ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Resource Planning ◽

Cognitive State ◽

Middle Income ◽

Total N ◽

Middle Income Countries ◽

Increased Risk ◽

Low And Middle Income

Background: Mild cognitive impairment (MCI) is a cognitive state associated with increased risk of dementia. Little research on MCI exists from low-and middle-income countries (LMICs), despite high prevalence of dementia in these settings. Objective: This systematic review aimed to review epidemiological reports to determine the prevalence of MCI and its associated risk factors in LMICs. Methods: Medline, Embase, and PsycINFO were searched from inception until November 2019. Eligible articles reported on MCI in population or community-based studies from LMICs. No restrictions on the definition of MCI used as long as it was clearly defined. Results: 4,621 articles were screened, and 78 retained. In total, n = 23 different LMICs were represented; mostly from China (n = 55 studies). Few studies from countries defined as lower-middle income (n = 14), low income (n = 4), or from population representative samples (n = 4). There was large heterogeneity in how MCI was diagnosed; with Petersen criteria the most commonly applied (n = 26). Prevalence of aMCI (Petersen criteria) ranged from 0.6%to 22.3%. Similar variability existed across studies using the International Working Group Criteria for aMCI (range 4.5%to 18.3%) and all-MCI (range 6.1%to 30.4%). Risk of MCI was associated with demographic (e.g., age), health (e.g., cardio-metabolic disease), and lifestyle (e.g., social isolation, smoking, diet and physical activity) factors. Conclusion: Outside of China, few MCI studies have been conducted in LMIC settings. There is an urgent need for population representative epidemiological studies to determine MCI prevalence in LMICs. MCI diagnostic methodology also needs to be standardized. This will allow for cross-study comparison and future resource planning.

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