Set within the context of the global food supply system, this paper examines the growing trade in fresh horticultural produce between Kenya and the UK. The links between UK retailers and Kenyan producers are investigated using the concept of the marketing chain. Two major chains are identified -wholesale and supermarketand, whilst having no direct investment in Kenya, it is the supermarkets who control production there, through intermediaries who ensure that standards of quality and presentation are met. Importers play a crucial role in facilitating this trade, acting as a vital link between farmers and exporters in Kenya and supermarkets in the UK. The need for quality and traceability dictates that contractual arrangements are made predominantly with large-scale farms using productivist farming methods. The irony is that it is post-productivist demands by 'new consumers' in the UK that are encouraging these productivist horticultural systems in Kenya. key words globalization post-productivist transition Kenya horticultural exports marketing chains traceability
Objective To assess measurement practice in clinical decision support evaluation studies. Materials and Methods We identified empirical studies evaluating clinical decision support systems published from 1998 to 2017. We reviewed titles, abstracts, and full paper contents for evidence of attention to measurement validity, reliability, or reuse. We used Friedman and Wyatt’s typology to categorize the studies. Results There were 391 studies that met the inclusion criteria. Study types in this cohort were primarily field user effect studies (n = 210) or problem impact studies (n = 150). Of those, 280 studies (72%) had no evidence of attention to measurement methodology, and 111 (28%) had some evidence with 33 (8%) offering validity evidence; 45 (12%) offering reliability evidence; and 61 (16%) reporting measurement artefact reuse. Discussion Only 5 studies offered validity assessment within the study. Valid measures were predominantly observed in problem impact studies with the majority of measures being clinical or patient reported outcomes with validity measured elsewhere. Conclusion Measurement methodology is frequently ignored in empirical studies of clinical decision support systems and particularly so in field user effect studies. Authors may in fact be attending to measurement considerations and not reporting this or employing methods of unknown validity and reliability in their studies. In the latter case, reported study results may be biased and effect sizes misleading. We argue that replication studies to strengthen the evidence base require greater attention to measurement practice in health informatics research.
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