Journal of general internal medicine
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Review Meta Analysis
The Role of Health Literacy in Diabetes Knowledge, Self-Care, and Glycemic Control: a Meta-analysis.
Empirical evidence on how health literacy affects diabetes outcomes is inconsistent. The purpose of this meta-analysis was to quantitatively summarize the findings on the associations between health literacy and diabetes knowledge, self-care activities, and glycemic control as disease-related outcomes, with specific focus on the type of health literacy assessment. ⋯ Health literacy plays a substantial role in diabetes knowledge. Findings for the role of health literacy in self-care and glycemic control remain heterogeneous, partly due to the type of health literacy assessment (performance- vs. perception-based). This has implications for the use of health literacy measures in clinical settings and original research. This meta-analysis was limited to functional health literacy and, due to the paucity of studies, did not investigate the role of other dimensions including communicative and critical health literacy.
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Benzodiazepines are the standard medication class for treating alcohol withdrawal. Guidelines recommend dosing based on objectively measured symptoms (symptom-triggered therapy) rather than fixed dose regimens. However, the superiority of symptom-triggered therapy has been questioned, and concerns have been raised about its inappropriate use and safety. We aimed to assess whether symptom-triggered therapy is superior to fixed dose schedules in terms of mortality, delirium, seizures, total benzodiazepine dose, and duration of therapy. ⋯ CRD42017073426.
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Meta-analysis combines multiple independent studies, which can increase power and provide better estimates. However, it is unclear how best to deal with studies with zero events; such studies are also known as double-zero-event studies (DZS). Several statistical methods have been proposed, but the agreement among different approaches has not been systematically assessed using real-world published systematic reviews. ⋯ To utilize all available information and reduce research waste and avoid overestimating the effect, meta-analysts should incorporate DZS, rather than simply removing them. The Peto and other conventional methods with continuity correction should be avoided when the proportion of DZS is extremely high. The exact and Bayesian methods are highly recommended, except when none of the included studies have an event in one or both treatment arms.
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In the midst of an opioid epidemic, mortality related to opioid overdose continues to rise in the US. Medications to treat opioid use disorder, including methadone and buprenorphine, are highly effective in reducing the morbidity and mortality related to illicit opioid use. Despite the efficacy of these life-saving medications, the majority of people with an opioid use disorder lack access to treatment. ⋯ Next, we examine three international pharmacy-based models in which methadone dispensing to treat opioid use disorder occurs outside of an opioid treatment facility. We discuss current challenges and opportunities to incorporate similar methods of methadone dispensing for the treatment of opioid use disorder in the US. Finally, we present our vision to integrate pharmacy-based methadone dispensing into routine opioid use disorder treatment through collaboration between clinicians and pharmacies to improve local access to this life-saving medication.
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Despite policy and practice support to develop and test interventions designed to increase access to quality care among high-need patients, many of these interventions fail to meet expectations once deployed in real-life clinical settings. One example is the Patient-Centered Medical Home (PCMH) model, designed to deliver coordinated care. A meta-analysis of PCMH initiatives found mixed evidence of impacts on service access, quality, and costs. ⋯ We analyzed and summarized the data to develop a PCMH Function and Form Matrix. The matrix contributes to the development of an explicit theory-based depiction of how an intervention achieves its effects, and can guide decision-support tools in the field. This innovative approach can support transformations of clinical settings and implementation efforts by building on a clear understanding of the intervention's standard core functions and the forms adapted to local contexts' characteristics.