PurposeTo perform a systematic review of the health-related quality of life (HRQoL) and economic burdens of anorexia nervosa (AN), bulimia nervosa (BN), and binge eating disorder (BED).MethodsA systematic literature search of English-language studies was performed in Medline, Embase, PsycINFO, PsycARTICLES, Academic Search Complete, CINAHL Plus, Business Source Premier, and Cochrane Library. Cost data were converted to 2014 Euro.ResultsSixty-nine studies were included. Data on HRQoL were reported in 41 studies (18 for AN, 17 for BN, and 18 for BED), on healthcare utilization in 20 studies (14 for AN, 12 for BN, and 8 for BED), and on healthcare costs in 17 studies (9 for AN, 11 for BN, and only 2 for BED). Patients’ HRQoL was significantly worse with AN, BN, and BED compared with healthy populations. AN, BN, and BED were associated with a high rate of hospitalization, outpatient care, and emergency department visits. However, patients rarely received specific treatment for their eating disorder. The annual healthcare costs for AN, BN, and BED were €2993 to €55,270, €888 to €18,823, and €1762 to €2902, respectively.ConclusionsAN, BN, and BED have a serious impact on patient’s HRQoL and are also associated with increased healthcare utilization and healthcare costs. The burden of BED should be examined separately from that of BN. The limited evidence suggests that further research is warranted to better understand the differences in long-term HRQoL and economic burdens of AN, BN, and BED.Electronic supplementary materialThe online version of this article (doi:10.1007/s40519-016-0264-x) contains supplementary material, which is available to authorized users.
Background: Predictors of medication adherence are not well known in chronic obstructive pulmonary disease (COPD). It is therefore necessary to identify factors associated with adherence to improve the effectiveness of COPD management within real-world situations. Objectives: The goals of this study were to estimate adherence to respiratory medication and to identify factors related to adherence in COPD patients. Methods: This was an observational, cross-sectional study conducted on a sample of COPD outpatients. The following information was obtained: adherence to respiratory therapy (Morisky Medication Adherence Scale), age, gender, smoking status, COPD severity [Global Initiative for Chronic Obstructive Lung Disease (GOLD) stage], lung function [post-bronchodilator forced expiratory volume in 1 s (FEV1)], treatment regimen for COPD, COPD medication costs per month paid by the patient and health-related quality of life (EuroQol 5-dimension questionnaire). A multivariate logistic regression analysis was performed to identify the independent predictors of adherence. Results: Of the 170 participants (mean age 63.8 years, 41.8% male), 58.2% reported optimal adherence. Adherence to respiratory therapy was associated with age, current smoking status, number of respiratory drugs, number of daily respiratory drug doses and quality of life (p < 0.005). Adherence to respiratory therapy was not related to gender, GOLD stage, FEV1 or COPD medication costs. Conclusions: Adherence to COPD medication regimens is poor. Less frequent dosing regimens could be an effective method to enhance adherence to respiratory therapy. Quality-of-life monitoring within clinical practice settings could facilitate improved medication adherence.
these studies, 26 used proportion of days covered, 23 used medication possession ratio, and 72 used self-reported questionnaires (e.g., the Morisky Scale) to assess MMA. About 50% of the studies included more than one method for measuring MMA, and different variations of medication possession ratio and proportion of days covered were used for measuring MMA. Conclusions: There appears to be no standardized method to measure MMA. With an increasing prevalence of polypharmacy, more efforts should be directed toward constructing robust measures suitable to evaluate adherence to complex regimens. Future research to understand the validity and reliability of MMA measures and their effects on objective clinical outcomes is also needed.
PurposeTo perform a systematic review on the epidemiology, the health-related quality of life (HRQoL) and economic burden of binge eating disorder (BED).MethodsA systematic literature search of English-language articles was conducted using Medline, Embase, PsycINFO, PsycARTICLES, Academic Search Complete, CINAHL Plus, Business Source Premier and Cochrane Library. Literature search on epidemiology was limited to studies published between 2009 and 2013. Cost data were inflated and converted to 2012 US$ purchasing power parities. All of the included studies were assessed for quality.ResultsForty-nine articles were included. Data on epidemiology were reported in 31, HRQoL burden in 16, and economic burden in 7 studies. Diagnosis of BED was made using 4th Edition of The Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) criteria in 46 studies. Lifetime prevalence of BED was 1.1–1.9 % in the general population (DSM-IV). BED was associated with significant impairment in aspects of HRQoL relating to both physical and mental health; the Short Form 36 Physical and Mental Component Summary mean scores varied between 31.1 to 47.3 and 32.0 to 49.8, respectively. Compared to individuals without eating disorder, BED was related to increased healthcare utilization and costs. Annual direct healthcare costs per BED patient ranged between $2,372 and $3,731.ConclusionsBED is a serious eating disorder that impairs HRQoL and is related to increased healthcare utilization and healthcare costs. The limited literature warrants further research, especially to better understand the long-term HRQoL and economic burden of BED.Electronic supplementary materialThe online version of this article (doi:10.1007/s40519-014-0173-9) contains supplementary material, which is available to authorized users.
BACKGROUND: Various aspects of medication adherence and health-related quality of life (HRQOL)have been studied in subjects with COPD. Nevertheless, little is known about the association between these factors. The aim of this study was to undertake a systematic review of the published literature focusing on the relationship between medication adherence and HRQOL in COPD. METHODS: A systematic literature search of English language articles was conducted in April 2013 using MEDLINE. No publication date limits were defined. All of the included studies were assessed for quality. RESULTS: Seven studies were included in the review. Three of the assessed studies found no correlation, and 3 studies described positive and 2 studies reported negative associations between medication adherence and HRQOL. The results indicate that an improved HRQOL may be a trigger for non-adherence in patients with COPD. CONCLUSIONS: The relationship between medication adherence and HRQOL may be dual. The effect of medication adherence on HRQOL might be a consequence of the effectiveness of therapy and the negative effects (ie, side effects, daily life limitation of therapy, social stigma) that it can generate. HRQOL might also influence the patterns of patients' drug use, as an increased HRQOL might trigger non-adherence. The dynamics between adherence and HRQOL might differ over time, as the negative effects of medication non-adherence might become dominant in the long term.
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