IMPORTANCE Antipsychotic medications are associated with increased mortality in older adults with dementia, yet their absolute effect on risk relative to no treatment or an alternative psychotropic is unclear.OBJECTIVE To determine the absolute mortality risk increase and number needed to harm (NNH) (ie, number of patients who receive treatment that would be associated with 1 death) of antipsychotic, valproic acid and its derivatives, and antidepressant use in patients with dementia relative to either no treatment or antidepressant treatment.

Background: Similar to patients with other chronic disorders, patients with serious mental illness (SMI) are often poorly adherent with prescribed medications. Objective: We conducted a randomized controlled trial examining the effectiveness of a pharmacy-based intervention (Meds-Help) in increasing antipsychotic medication adherence among Department of Veterans Affairs (VA) patients with SMI. We also examined the impact of Meds-Help on psychiatric symptoms, quality of life, and satisfaction with care. Methods: We enrolled 118 patients from 4 VA facilities with schizophrenia, schizoaffective, or bipolar disorder who were on long-term antipsychotics but had antipsychotic medication possession ratios (MPRs) <0.8 in the prior year. Patients were randomized to usual care (UC; n = 60) or the pharmacy-based intervention (Meds-Help; n = 58). We reassessed adherence at 6 and 12 months, at which time patients completed Positive and Negative Symptom Scales (PANSS), Quality of Well-being Scales (QWB), and Client Satisfaction Questionnaires (CSQ-8). Results: Prior to enrollment, Meds-Help and UC patients had mean antipsychotic MPRs of 0.54 and 0.55, respectively. At 6 months, mean MPRs were 0.91 for Meds-Help and 0.64 for UC patients; at 12 months, they were 0.86 for Meds-Help and 0.62 for UC patients. In multivariate analyses adjusting for patient factors, Meds-Help patients had significantly higher MPRs at 6 and 12 months (P < .0001). There were no significant differences between groups in PANSS, QWB, or CSQ-8 scores, but power to detect small effects was limited. Conclusions: Congruent with prior studies of patients with other disorders, a practical pharmacy-based intervention increased antipsychotic adherence among patients with SMI. However, SMI patients may require additional care management components to improve outcomes.

An 8-week mindfulness-based cognitive therapy (MBCT) group for older adults with depression and/or anxiety is described. This article is based on an exploratory study of this therapeutic approach and changes in participants' symptoms associated with participation. Pre-post data from 5 MBCT groups showed significant improvements in reported anxiety, ruminative thoughts, and sleep problems and a reduction in depressive symptoms. Case examples are presented to illustrate these symptom changes. Findings showed that this nonpharmacological intervention is acceptable to older adults and is associated with positive changes. Suggestions are provided for both practitioners and researchers interested in using MBCT with older adults.

Objective Although antidepressants are an effective treatment for later-life depression, older patients often choose not to initiate or to discontinue medication treatment prematurely. While racial differences in depression treatment preferences have been reported, little is known about racial differences in antidepressant medication adherence among older patients. Design Prospective, observational study comparing antidepressant adherence for older African-American and white primary care patients. Participants One hundred and eighty-eight subjects aged 60 and older, diagnosed with clinically significant depression with a new recommendation for antidepressant treatment by their primary care physician. Measurement Study participants were assessed at study entry and at four-month follow-up (encompassing the acute treatment phase). Depression medication adherence was based on a well-validated self-report measure. Results At four-month follow-up, 61.2% of subjects reported that they were adherent to their antidepressant medication. In unadjusted and two of the three adjusted analyses, African-American subjects (n=82) had significantly lower rates of four-month antidepressant adherence than white subjects (n=106). African-American females had the lowest adherence rates (44.4%) followed by African-American males (56.8%), white males (65.3%) and white females (73.7%). In logistic regression models controlling for demographic, illness, and functional status variables, significant differences persisted between African-American women and white women in reported four-month antidepressant adherence (OR 3.58, 95% CI 1.27-10.07, Wald Chi-square =2.42, df=1, p<0.02). Conclusions The results demonstrate racial and gender differences in antidepressant adherence in older adults. Depression treatment interventions for the older adults should take into account the potential impact of race and gender on adherence to prescribed medications.

Purpose-Electronic medical records (EMR) have become part of daily practice for many physicians. Attempts have been made to apply electronic search engine technology to speed EMR review. This was a prospective, observational study to compare the speed and accuracy of electronic search engine vs. manual review of the EMR.Methods-Three raters reviewed 49 cases in the EMR to screen for eligibility in a depression study using the electronic search engine (EMERSE). One week later raters received a scrambled set of the same patients including 9 distractor cases, and used manual EMR review to determine eligibility. For both methods, accuracy was assessed for the original 49 cases by comparison with a gold standard rater.Results-Use of EMERSE resulted in considerable time savings; chart reviews using EMERSE were significantly faster than traditional manual review (p=0.03). The percent agreement of raters with the gold standard (e.g. concurrent validity) using either EMERSE or manual review was not significantly different.Conclusions-Using a search engine optimized for finding clinical information in the free-text sections of the EMR can provide significant time savings while preserving reliability. The major power of this search engine is not from a more advanced and sophisticated search algorithm, but rather from a user interface designed explicitly to help users search the entire medical record in a way that protects health information.