Convergence, divergence and hybridity: a regulatory governance perspective on health technology assessment HTA) in England and Germany

Countries adopt different methods and processes to evaluate the benefits and costs of health technologies. It is important to identify and analyse the factors that influence the uptake and use of these methods and processes across countries. In this paper, we introduce a regulatory governance approach to the analysis of convergence, divergence and hybridity in HTA methods, discussing and critically analysing national processes for HTA in two major European Union (EU) Member States: England and Germany. We argue that any reasonably sophisticated account of national approaches to HTA must recognise that globalisation and the emergence of advanced industrial society involves the potential for widely varying processes, methods and evidential requirements. We suggest that this potentiality also confronts health policy analysts with the challenge of constructing analytical frameworks capable of identifying the diverse institutional, domestic and other factors that shape national approaches to HTA

Identifying nurse staffing research in Medline: development and testing of empirically derived search strategies with the PubMed interface

Background: The identification of health services research in databases such as PubMed/Medline is a cumbersome task. This task becomes even more difficult if the field of interest involves the use of diverse methods and data sources, as is the case with nurse staffing research. This type of research investigates the association between nurse staffing parameters and nursing and patient outcomes. A comprehensively developed search strategy may help identify nurse staffing research in PubMed/Medline.Methods: A set of relevant references in PubMed/Medline was identified by means of three systematic reviews. This development set was used to detect candidate free-text and MeSH terms. The frequency of these terms was compared to a random sample from PubMed/Medline in order to identify terms specific to nurse staffing research, which were then used to develop a sensitive, precise and balanced search strategy. To determine their precision, the newly developed search strategies were tested against a) the pool of relevant references extracted from the systematic reviews, b) a reference set identified from an electronic journal screening, and c) a sample from PubMed/Medline. Finally, all newly developed strategies were compared to PubMed's Health Services Research Queries (PubMed's HSR Queries).Results: The sensitivities of the newly developed search strategies were almost 100% in all of the three test sets applied; precision ranged from 6.1% to 32.0%. PubMed's HSR queries were less sensitive (83.3% to 88.2%) than the new search strategies. Only minor differences in precision were found (5.0% to 32.0%).Conclusions: As with other literature on health services research, nurse staffing studies are difficult to identify in PubMed/Medline. Depending on the purpose of the search, researchers can choose between high sensitivity and retrieval of a large number of references or high precision, i.e. and an increased risk of missing relevant references, respectively. More standardized terminology (e.g. by consistent use of the term "nurse staffing") could improve the precision of future searches in this field. Empirically selected search terms can help to develop effective search strategies. The high consistency between all test sets confirmed the validity of our approach.<br/