There is growing concern about the availability of healthcare services for rural patients. This systematic literature review evaluates original research on health disparities among rural and urban populations with mental health conditions in North America. Using PRISMA guidelines, we used four electronic databases (Pubmed, Cochrane, PsychInfo, Web of Science) and hand searches and included original research conducted in the United States or Canada before July 2021 that compared health outcomes of patients with any mental health disorder in rural versus non-rural areas. Both qualitative and quantitative data were extracted including demographics, mental health condition, health disparity measure, rural definition, health outcome measures/main findings, and delivery method. To evaluate study quality, the modified Newcastle Ottawa Scale was used. Our initial search returned 491 studies and 17 studies met final inclusion criteria. Mental health disorders included schizophrenia (4 studies), PTSD (10), mood disorders (9), and anxiety disorders (6). Total sample size was 5,314,818 with the majority being military veterans. Six studies (35.2%) showed no significant rural-urban disparities while eleven (64.7%) identified at least one. Of those, nine reported worse outcomes for rural patients. The most common disparities were diagnostic differences, increased suicide rates and access problems. This review found mixed results regarding outcomes in rural patients with mental health disorders. Disparities were found regarding risk of suicide and access to services. Telehealth in addition to in person outreach to these rural communities may be alternatives to impact these outcomes.
The Rey Auditory Verbal Learning Test (RAVLT) is the one of the most widely used neuropsychological tests of verbal memory.It has been translated into numerous languages including Spanish, German, Arabic, Hebrew, Czech, Portuguese, and English. The present study examined the hypothesis that the learning of word lists forms an algorithmic pattern across all cultures. To this end, a sample of 200 Arabic-speaking Omani adults between the ages of 18 and 50 years was collected. The resulting norms were then compared withexisting American and Brazilian samples. The study confirmed that the first trial on the RAVLT correlates with demographic variables, whereas the learning slope on subsequent trials is almost identical across all cultures. Based on the above finding, the slope of the verbal learning test is hypothesized to measure a psychophysiological process linked with the hippocampal formation and allows for the laying down of new memories. In contrast, the first trial of the test is amenable to more cultural, demographic, and environmental factors.
Medication nonadherence occurs in 20–60% of persons with bipolar disorder (BD) and is associated with serious negative outcomes, including relapse, hospitalization, incarceration, suicide and high healthcare costs. Various strategies have been developed to measure adherence in BD. This descriptive paper summarizes challenges and workable strategies using electronic medication monitoring in a randomized clinical trial (RCT) in patients with BD. Descriptive data from 57 nonadherent individuals with BD enrolled in a prospective RCT evaluating a novel customized adherence intervention versus control were analyzed. Analyses focused on whole group data and did not assess intervention effects. Adherence was assessed with the self-reported Tablets Routine Questionnaire and the Medication Event Monitoring System (MEMS). The majority of participants were women (74%), African American (69%), with type I BD (77%). Practical limitations of MEMS included misuse in conjunction with pill minders, polypharmacy, cost, failure to bring to research visits, losing the device, and the device impacting baseline measurement. The advantages were more precise measurement, less biased recall, and collecting data from past time periods for missed interim visits. Automated devices such as MEMS can assist investigators in evaluating adherence in patients with BD. Knowing the anticipated pitfalls allows study teams to implement preemptive procedures for successful implementation in BD adherence studies and can help pave the way for future refinements as automated adherence assessment technologies become more sophisticated and readily available.