Effective diabetes management can prevent avoidable diabetes-related hospitalizations. This review examines the impact of financial incentives for diabetes management in primary care settings on diabetes-related hospitalizations, hospitalization costs, and premature mortality. To assess the evidence, we conducted a literature search of studies using five databases: Medline, Embase, Scopus, CINAHL and Web of Science. We examined the results by health insurance system, study quality or diabetes population (newly diagnosed diabetes). We identified 32 articles ranging from fair- to high-quality: 19 articles assessed the relationship between financial incentives for diabetes management and hospitalizations, 8 assessed hospitalization costs, and 15 assessed mortality. Many studies found that financial incentives for diabetes management reduced hospitalizations, while a few found no effects. Similar findings were evident for hospitalization costs and mortality. The results did not differ by the type of health insurance system, but the quality of the studies did matter; most high-quality studies reported reduced hospitalizations and/or mortality. We also found that financial incentives tend to be beneficial for patients with newly diagnosed diabetes. We conclude that well-designed diabetes management incentives can reduce diabetes-related hospitalizations, especially for newly diagnosed diabetes patients.

Introduction: Health workers in rural and remote areas shoulder heavy responsibilities for rural residents. This systematic review aims to assess the effectiveness of continuing education programs for health workers in rural and remote areas.Methods: Eight electronic databases were searched on 28 November 2021. Randomized controlled trials (RCTs) and quasi -experimental studies evaluating the effectiveness of continuing education for health workers in rural and remote areas were included. The quality of the studies was assessed using the risk of bias tool provided by Effective Practice and Organization of Care. A meta-analysis was performed for eligible trials, and the other findings were presented as a narrative review because of inconsistent study types and outcomes. Results: A total of 17 studies were included, four of which were RCTs. The results of the meta-analysis showed that compared to no intervention, continuing education programs significantly improved the knowledge awareness rate of participants (odds ratio=4.09, 95% confidence interval 2.51-6.67, p<0.05). Qualitative analysis showed that 12 studies reported on the level of knowledge of participants, with all showing positive changes. Eight studies measured the performance of health workers in rural and remote areas, with 87.50% (n=7) finding improved performance. Two studies reported on the impact of continuing education programs for health workers in rural and remote areas on patient health, with only one showing a positive change. One study from India measured the health of communities, which showed a positive change.Conclusion: The results of this study showed that continuing education programs are an effective way to address the lack of knowledge and skills among health workers in rural and remote areas. Few studies have examined the effectiveness of education programs for health workers in rural and remote areas in improving patient health outcomes. It is not yet known whether the delivery of continuing education programs to health workers in rural areas has a positive impact on patient and community health. Future attention should continue to be paid to the impact on these outcomes.

Background Mild cognitive impairment (MCI) is a cognitive state falling between normal aging and dementia. The relation between alcohol intake and risk of MCI as well as progression to dementia in people with MCI (PDM) remained unclear. Objective To synthesize available evidence and clarify the relation between alcohol intake and risk of MCI as well as PDM. Method We searched electronic databases consisting of PubMed, EMBASE, Cochrane Library, and China Biology Medicine disc (CBM) from inception to October 1, 2019. Prospective studies reporting at least three levels of alcohol exposure were included. Categorical meta-analysis was used for quantitative synthesis of the relation between light, moderate and heavy alcohol intake with risk of MCI and PDM. Restricted cubic spline and fixed-effects dose-response models were used for dose-response analysis. Result Six cohort studies including 4244 individuals were finally included. We observed an unstable linear relation between alcohol intake (drinks/week) and risk of MCI (P linear = 0.0396). It suggested that a one-drink increment per week of alcohol intake was associated with an increased risk of 3.8% for MCI (RR, 1.038; 95% CI 1.002-1.075). Heavy alcohol intake (> 14 drinks/week) was associated with higher risk of PDM (RR = 1.76; 95% CI 1.10-2.82). And we found a nonlinear relation between alcohol intake and risk of PDM. Drinking more than 16 drinks/week (P nonlinear = 0.0038, HR = 1.42; 95% CI 1.00-2.02), or 27.5 g/day (P nonlinear = 0.0047, HR = 1.46; 95% CI 1.00-2.11) would elevate the risk of PDM. Conclusion There was a nonlinear dose-response relation between alcohol intake and risk of PDM. Excessive alcohol intake would elevate the risk of PDM.