PurposeUnmanaged distress has been shown to adversely affect survival and quality of life in breast cancer survivors. Fortunately, distress can be managed and even prevented with appropriate evidence-based interventions. Therefore, the objective of this systematic review was to synthesize the published literature around predictors of distress in female breast cancer survivors to help guide targeted intervention to prevent distress.MethodsRelevant studies were located by searching MEDLINE, Embase, PsycINFO, and CINAHL databases. Significance and directionality of associations for commonly assessed candidate predictors (n ≥ 5) and predictors shown to be significant (p ≤ 0.05) by at least two studies were summarized descriptively. Predictors were evaluated based on the proportion of studies that showed a significant and positive association with the presence of distress.ResultsForty-two studies met the target criteria and were included in the review. Breast cancer and treatment-related predictors were more advanced cancer at diagnosis, treatment with chemotherapy, longer primary treatment duration, more recent transition into survivorship, and breast cancer recurrence. Manageable treatment-related symptoms associated with distress included menopausal/vasomotor symptoms, pain, fatigue, and sleep disturbance. Sociodemographic characteristics that increased the risk of distress were younger age, non-Caucasian ethnicity, being unmarried, and lower socioeconomic status. Comorbidities, history of mental health problems, and perceived functioning limitations were also associated. Modifiable predictors of distress were lower physical activity, lower social support, and cigarette smoking.ConclusionsThis review established a set of evidence-based predictors that can be used to help identify women at higher risk of experiencing distress following completion of primary breast cancer treatment.Electronic supplementary materialThe online version of this article (doi:10.1007/s10549-017-4290-9) contains supplementary material, which is available to authorized users.
Key PointsQuestionDoes an electronic medication reconciliation tool reduce the occurrence of adverse drug events and other adverse outcomes in the 30 days after discharge?FindingsIn this cluster randomized trial that included 3491 patients discharged from 2 medical units and 2 surgical units of 1 academic hospital, electronic medication reconciliation reduced medication discrepancies but had no effect on adverse drug events (primary outcome), emergency department visits, or readmission in the 30 days after discharge.MeaningHospital accreditation requirements for medication reconciliation should be revised to focus on interventions that will reduce the risk of adverse events for patients with multiple changes to their community medication.
ObjectivesWe used an international pharmacosurveillance network to estimate the rate and characteristics of antidepressant use in older adults in countries with more conservative (UK) and liberal depression guidelines (Canada, USA).SettingElectronic health records and population-based administrative data from six jurisdictions in four countries (UK, Taiwan, USA and Canada).ParticipantsA historical cohort of older adults (≥65 years) who had a new episode of antidepressant use between 2009 and 2014.Outcome measuresThe age and sex-standardised cumulative incidence of new episodes of antidepressant use in older adults was measured. Descriptive statistics were used to compare the proportion of new users by the antidepressant prescribed, therapeutic class, potential treatment indication and country, as well as the characteristics of the first treatment episode (standardised daily doses, duration and changes).ResultsThe incidence of antidepressant use between 2009 and 2014 varied from 4.7% (Montreal and Quebec City) to 18.6% (Taiwan). Tricyclic antidepressants (TCAs) were the most commonly used class in the UK (48.8%) and Taiwan (52.4%) compared with selective serotonin reuptake inhibitors (SSRIs) in North American jurisdictions (42.3%–53.3%). Chronic pain was the most common potential treatment indication (41.2%–68.2%). Among users with chronic pain, TCAs were used most frequently in the UK and Taiwan (55.2%–60.4%), whereas SSRIs were used most frequently in North America (33.5%–46.4%). Treatment was longer (252–525 vs 169–437 days), standardised doses were higher (0.7–1.3 vs 0.5–1.0) and treatment was more likely to be changed (31%–46% vs 21%–34%) among patients with depression (9.1%–43%) than those with chronic pain.ConclusionAntidepressant use in older adults varied 24-fold by country, with the UK, which has the most conservative treatment guidelines, being among the lowest. Chronic pain was the most common potential treatment indication. Evaluation of real-world risks of TCAs is a priority for future research, given high rates of use and the potential for increased toxicity in older adults because of potent anticholinergic effects.
IMPORTANCE Although better pain management has guided policies for opioid use over the past few decades, evidence is limited regarding how patterns of use are associated with the risk of potentially avoidable opioid-related adverse events.OBJECTIVE To estimate the risk of harms associated with opioid dose and duration of use, and to ascertain whether the risk is modified by treatment indication and age. DESIGN, SETTING, AND PARTICIPANTSThis ad hoc cohort study followed up patients who were enrolled in a cluster randomized trial of medication reconciliation between October 1, 2014, and
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.