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Objective The objective of this review was to identify and describe the factors influencing diabetes self-management in adults by summarizing the available evidence concerning their types, categories, and relative importance. Introduction A wide range of factors, acting simultaneously, influence diabetes self-management and interfere with its actual application by patients. There is a variety of systematic reviews of these factors; however, a more thorough examination of their influences was lacking. Inclusion criteria Systematic reviews of qualitative or quantitative literature focusing on factors influencing adult diabetes self-management in general or on individual behaviors (ie, management of oral antidiabetic medication and insulin injections, self-monitoring of blood glucose, foot care, healthy eating, regular exercise, and smoking cessation) will be included. Methods We performed an extensive search of 11 bibliographic databases, including gray literature, up to June 2019. Quantitative and qualitative findings were summarized separately and labeled according to their types (eg, facilitator/barrier, strength and direction of association), categories (eg, demographic, social), and frequency of occurrence. Results We identified 51 types of factors within 114 systematic reviews, which mostly addressed medication-taking behavior. Thirty-two (62.7%) factors were reported in both qualitative and quantitative literature. The predominant influences were psychological factors and behavioral attributes/skills factors. The most frequently reported facilitators of diabetes self-management were motivation to diabetes self-management, a favorable attitude to diabetes self-management, knowledge about the disease, medication and behaviors associated with diabetes self-management, skills, and self-efficacy/perceived behavioral control. The predominant barriers were the presence of depression, and polypharmacy or drug regimen complexity. The demographic factor of female sex was frequently reported for its negative influence on diabetes self-management, whereas older age was a positive factor. The social/cultural and physical environment were the least-studied categories. Other factors such as social support from family, friends, or networks; interventions led by health professionals; and a strong community environment with good social services favoring diabetes self-management were reported as major facilitators of diabetes self-management. Conclusions Essential components of interventions to promote effective diabetes self-management should aim to help adults manage the effects of specific factors related to their psychological and practical self-management experience. Screening for depression, in particular, should become an integral part of the support for adult diabetes self-management, as depression is a particular obstacle to the effectiveness of diabetes self-management. Future studies should more deeply examine the influence of factors identified in the sociocultural and physical environment categories. Research should properly consider and invest efforts in strengthening social support and innovative community care approaches, including pharmacist- and nurse-led care models for encouraging and improving adult diabetes self-management. Finally, researchers should examine non-modifiable factors - age, sex, or socioeconomic status - in the light of factors from other categories in order to deepen understanding of their real-world patterns of action on adult diabetes self-management. Systematic review registration number PROSPERO CRD42018084665.

Background Malaria prevention methods for travellers to low or moderate malaria risk areas vary and remain controversial. Standby emergency treatment (SBET) for malaria is one possible strategy increasingly recommended since 1988 with little evidence on its effectiveness or how it is truly being used. Methods A systematic review and meta-analysis were performed based on a structured search in Embase, Medline, PubMed, Cochrane and Web of Science on 7 September 2018. The primary outcome was the overall prevalence of SBET use in travellers, and secondary outcomes were the proportion carrying SBET, the response to fever [use of SBET, health facility attendance and use of malaria rapid diagnostic test (mRDT)], adverse events to SBET and the proportion using SBET incorrectly (incorrect dosage/duration). The pooled SBET use prevalence was analysed using a random effects model. A descriptive summary was done to present secondary outcomes. The study protocol was registered with PROSPERO CRD42018103703. Results A total of 11 studies were eligible for inclusion among the 1027 titles identified by our search. The studies included 7/11 prospective cohort studies that recruited pre-travel clinic attendees in Europe and 4/11 cross-sectional studies, of which 3 recruited travellers at airports before their return home from Southeast Asia and Africa and 1 from an employee registry including long-term travellers. The overall pooled prevalence of SBET use among the 26 403 travellers was 2.5% (95% confidence interval, 1.1-4.3%; range, 0.4-10.8%). There was significant variation in the proportion of travellers carrying SBET medication (40-100%), the proportion of travellers with appropriate response to fever (23-100%), adverse events (0-33%) and incorrect dosage/duration of SBET (0-100%). Conclusion Adherence to the proposed recommendations for SBET use, notably the response to fever, was poor. If the use of SBET is to be pursued, modifications to the current SBET strategy should be considered, such as better selection of travellers at higher risk for malaria and the potential addition of mRDTs.