Implementing use of the declination form during the 2006-2007 influenza season was one of several measures that led to a 55% increase in the acceptance of influenza vaccination by healthcare workers in our healthcare system. Although we cannot determine to what degree use of the declination form contributed to the increased rate of vaccination, use of this form helped the vaccination program assess the reasons for declination and will help to focus future vaccination campaigns.

Patient-provider communication is modifiable and linked to diabetes outcomes. The association of communication quality with medical mistrust is unknown. We examined these factors within the context of a low-literacy/numeracy-focused intervention to improve diabetes care, using baseline data from diverse patients enrolled in a randomized trial of a health communication intervention. Demographics, measures of health communication (Communication Assessment Tool [CAT], Interpersonal Processes of Care [IPC-18]), health literacy (Short Test of Functional Health Literacy in Adults [s-TOFHLA]), depression, medical mistrust, and glycemic control were ascertained. Adjusted proportional odds models were used to test the association of mistrust with patient-reported communication quality. The interaction effect of health literacy on mistrust and communication quality was also assessed. A total of 410 patients were analyzed. High levels of mistrust were observed. In multivariable modeling, patients with higher mistrust had lower adjusted odds of reporting higher CAT score [adjusted odds ratio (AOR) 0.67 [95% CI: 0.52–0.86], p=0.003], and higher score for the Communication [AOR 0.69 [0.55–0.88], p=0.008], Decided Together [AOR 0.74 [0.59–0.93], p=0.02], and Interpersonal Style [AOR 0.69 [0.53–0.90], p=0.015] subscales of the IPC-18. We observed evidence for an interaction effect of health literacy for the association between mistrust and the Decided Together subscale of the IPC-18 such that patients with higher mistrust and lower literacy perceived worse communication relative to mistrustful patients with higher literacy. In conclusion, medical mistrust was associated with poorer communication with providers in this public health setting. Patients’ health literacy level may vary the effect of mistrust on the interactional aspects of communication. Providers should consider the impact of mistrust on communication with vulnerable diabetes populations and focus efforts on mitigating its influence.

Suboptimal glycemic control is more common among Non-Hispanic Blacks (NHBs) and Hispanics than non-Hispanic Whites (NHWs). Disparities in the performance of self-care behaviors may contribute to this. To synthesize knowledge on current self-care disparities, we reviewed studies from January 2011-March 2016 that included NHWs, NHBs, and Hispanics with type 2 diabetes in the United States. Self-care behaviors included diet, exercise, medications, self-monitoring of blood glucose (SMBG), self-foot exams, and not smoking. Of 1,241 articles identified in PubMed, 25 met our inclusion criteria. These studies report consistent disparities in medication adherence. Surprisingly, we found consistent evidence of no disparities in exercise and some evidence of reverse disparities: compared to NHWs, Hispanics had healthier diets and NHBs had more regular SMBG. Consistent use of validated measures could further inform disparities in diet and exercise. Additional research is needed to test for disparities in self-foot exams, smoking, and diabetes-specific problem solving and coping.

The use of clinical guidelines has been shown to confer benefits for care delivery in high-income settings, but little is known about their implementation in low-income settings. We conducted a systematic literature review on the implementation of World Health Organisation (WHO) clinical guidelines for hospital care in low-income settings. We searched Medline, Global Health and Scopus for articles describing the implementation of clinical guidelines issued by the WHO for hospitals in low-income countries. Each article in the final sample was reviewed independently by two reviewers who harmonised their findings to identify key factors affecting the implementation process, which were grouped into thematic categories through negotiated consensus among project team members. Seventeen studies met the inclusion criteria. Factors affecting the guideline implementation process in low-income countries were (1) degree of support from facility management and Ministry of Health, (2) credibility and acceptability of clinical guidelines from the perspective of health care providers, (3) efforts to adapt clinical guidelines to local circumstances and (4) use of guides and checklists for implementation. These four factors consistently emerged in our review and should be considered when designing future strategies to implement clinical guidelines in low-income countries.