Markets throughout the world have been reducing barriers to international trade and investment in recent years. The resulting increases in levels of international trade and investment have subsequently generated research interest into the potential population health impact. We present a systematic review of quantitative studies investigating the relationship between international trade, foreign direct investment and non-nutritional health outcomes. Articles were systematically collected from the SCOPUS, PubMed, EconLit and Web of Science databases. Due to the heterogeneous nature of the evidence considered, the 16 included articles were subdivided into individual level data analyses, selected country analyses and international panel analyses. Articles were then quality assessed using a tool developed as part of the project. Nine of the studies were assessed to be high quality, six as medium quality, and one as low quality. The evidence from the quantitative literature suggests that overall, there appears to be a beneficial association between international trade and population health. There was also evidence of the importance of foreign direct investment, yet a lack of research considering the direction of causality. Taken together, quantitative research into the relationship between trade and non-nutritional health indicates trade to be beneficial, yet this body of research is still in its infancy. Future quantitative studies based on this foundation will provide a stronger basis on which to inform relevant national and international institutions about the health consequences of trade policies.
BackgroundChronic obstructive pulmonary disease (COPD) affects approximately 3 million people in the UK. An 8-week pulmonary rehabilitation (PR) course is recommended under current guidelines. However, studies show that initial benefits diminish over time.ObjectiveWe present here an economic evaluation conducted alongside a randomised controlled trial (RCT) of a low-intensity maintenance programme over a time horizon of 1 year delivered in UK primary and secondary care settings.MethodsPatients with COPD who completed at least 60 % of a standard 8-week PR programme were randomised to a 2-h maintenance session at 3, 6 and 9 months (n = 73) or treatment as usual (n = 75). Outcomes were change in Chronic Respiratory Questionnaire (CRQ) score, EQ-5D-based QALYs, cost (price year 2014) to the UK NHS and social services over the 12 months following initial PR, and incremental cost-effectiveness ratios (ICERs).ResultsAt 12 months, incremental cost to the NHS and social services was −£204.04 (95 % CI −£1522 to £1114). Incremental CRQ and QALY gains were −0.007 (−0.461 to 0.447) and +0.015 (−0.050 to 0.079), respectively. Based on point estimates, PR maintenance therefore dominates treatment as usual from the perspective of the NHS and social services in terms of cost per QALY gained. Whether it is cost effective in terms of CRQ depends on whether the £204 per patient could be reinvested elsewhere to a CRQ gain of greater than 0.007. However, there is much decision uncertainty: 95 % CIs around increments did not exclude zero, and there is a 72.9 % (72.5 %) probability that the ICER is below £20,000 (£30,000) per QALY.ConclusionFuture research should explore whether more intensive maintenance regimens offer benefit to patients at reasonable cost.Electronic supplementary materialThe online version of this article (doi:10.1007/s40258-015-0199-9) contains supplementary material, which is available to authorized users.
This analysis presents the results of a systematic review for health state utilities in multiple myeloma, as well as analysis of over 9,000 observations taken from registry and trial data. The 27 values identified from 13 papers are then synthesised in a frequentist nonparametric bootstrap model and a Bayesian meta‐regression. Results were similar between the frequentist and Bayesian models with low utility on disease diagnosis (approximately 0.55), raising to approximately 0.65 on first line treatment and declining slightly with each subsequent line. Stem cell transplant was also found to be a significant predictor of health‐related quality of life in both individual patient data and meta‐regression, with an increased utility of approximately 0.06 across different models. The work presented demonstrates the feasibility of Bayesian methods for utility meta‐regression, whilst also presenting an internally consistent set of data from the analysis of registry data. To facilitate easy updating of the data and model, data extraction tables and model code are provided as Data S1. The main limitations of the model relate to the low number of studies available, particularly in highly pretreated patients.
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