Evidence of factors influencing self-medication with antibiotics in low and middle-income countries: a systematic scoping review.

OBJECTIVES: Self-medication with antibiotics (SMA) is a practice of global concern with a higher incidence within the low- and middle-income countries (LMICs). Despite worldwide efforts to control and promote the rational use of antibiotics, the continuing practice of SMA systematically exposes individuals and communities to the risk of antibiotic resistance and a host of other antibiotic side-effects. This systematic scoping review maps evidence on the factors influencing SMA in these settings. STUDY DESIGN: Systematic scoping review. METHODS: The search strategy involved electronic databases including PubMed, Web of science, Science Direct, EBSCOhost, Google Scholar, BioMed Central, and the World Health Organization Library. PRISMA P guidelines and Arksey and O'Malley's framework were used. Thematic analysis was used to identify the factors that influence the practices of SMA in LMICs. The Mixed Method Appraisal Tool (MMAT), version 2011, was used to assess the quality of the included primary studies. RESULTS: Fifteen studies met the inclusion criteria. Studies included participants from the following LMICs: Guatemala, India, Indonesia, Kenya, Laos, Nepal, Nigeria, Pakistan, Sri Lanka, and Yemen. The findings of the review emphasized a considerable high prevalence of SMA, ranging from 8.1% to 93%, with an association with the level of education, monthly income, and gender of participants. Accessibility, affordability, and conditions of health facilities, as well as the health-seeking behavior, are factors that influence SMA in LMICs. Health conditions such as a sore throat, common cold, cough, headache, toothache, flu-like symptoms, pain relief, fever, runny nose, toothache, upper respiratory tract infections, and urinary tract infection were the major complaints that led to the practices of SMA. CONCLUSIONS: There is a considerable level of research evidence predominantly in some LMICs from Asia, with less evidence from African LMICs. Sociocultural determinants of health associated with the structure and conditions of health system as well as the health-seeking behavior are the main factors influencing SMA. Contextual and comprehensive studies on the factors influencing the non-prescribed use of antibiotics are needed to enable evidence-based strategies to correctly address the utilization of antibiotics and contain the problem of antimicrobial resistance, especially within the LMICs. PROSPERO REGISTRATION: CRD42017072954.

Neuropathologic features associated with Alzheimer disease diagnosis: age matters.

OBJECTIVE: To examine whether the association between clinical Alzheimer disease (AD) diagnosis and neuropathology and the precision by which neuropathology differentiates people with clinical AD from those with normal cognition varies by age. METHODS: We conducted a cross-sectional analysis of 2,014 older adults (≥70 years at death) from the National Alzheimer's Coordinating Center database with clinical diagnosis of normal cognition (made ≤1 year before death, n = 419) or AD (at ≥65 years, n = 1,595) and a postmortem neuropathologic examination evaluating AD pathology (neurofibrillary tangles, neuritic plaques) and non-AD pathology (diffuse plaques, amyloid angiopathy, Lewy bodies, macrovascular disease, microvascular disease). We used adjusted logistic regression to analyze the relationship between clinical AD diagnosis and neuropathologic features, area under the receiver operating characteristic curve (c statistic) to evaluate how precisely neuropathology differentiates between cognitive diagnoses, and an interaction to identify effect modification by age group. RESULTS: In a model controlling for coexisting neuropathologic features, the relationship between clinical AD diagnosis and neurofibrillary tangles was significantly weaker with increasing age (p < 0.001 for interaction). The aggregate of all neuropathologic features more strongly differentiated people with clinical AD from those without in younger age groups (70-74 years: c statistic, 95% confidence interval: 0.93, 0.89-0.96; 75-84 years: 0.95, 0.87-0.95; ≥85 years: 0.83, 0.80-0.87). Non-AD pathology significantly improved precision of differentiation across all age groups (p < 0.004). CONCLUSION: Clinical AD diagnosis was more weakly associated with neurofibrillary tangles among the oldest old compared to younger age groups, possibly due to less accurate clinical diagnosis, better neurocompensation, or unaccounted pathology among the oldest old.