TOWARD A CONTINGENCY MODEL FOR HOSPITAL-BASED HEALTH TECHNOLOGY ASSESSMENT: EVIDENCE FROM ADHOPHTA PROJECT.

OBJECTIVES: Hospital-based health technology assessment (HB-HTA) is becoming increasingly relevant because of its role in managing the introduction and withdrawal of health technologies. The organizational arrangement in which HB-HTA activities are conducted depends on several contextual factors, although the dominant models have several similarities. The aims of this study were to explore, describe, interpret, and explain seven cases of the application of HB-HTA logic and to propose a classification for HB-HTA organizational models which may be beneficial for policy makers and HTA professionals. METHODS: The study was part of the AdHopHTA Project, granted under the European 7th Framework Research Programme. A case study methodology was applied to analyze seven HB-HTA initiatives in seven countries, with collection of qualitative and quantitative data. Cross-case analysis was performed within the framework of contingent organizational theory. RESULTS: Evidence showed that some organizational or "structural" variables, namely the level of procedure formalization/structuration and the level of integration with other HTA bodies at the national, regional, and provincial levels, predominantly shape the HB-HTA approach, determining a contingency model of HB-HTA. Crossing the two variables, four options have emerged: integrated specialized HTA unit, stand-alone HTA unit, integrated-essential HTA, independent group unit. CONCLUSIONS: No one-best-way approach can be used for HTA at the hospital level. Rather, the characteristics of HTA models depend on many contextual factors. Such conceptualization may aid the diffusion of HB-HTA to inform managerial decision making and clinical practice.

Professional networks and the alignment of individual perceptions about medical innovation.

BACKGROUND: In recent decades, the role of technology in health care organizations has become increasingly relevant because it enhances health care outcomes and the achievement of clinical goals. Extant research demonstrates that the effectiveness of a medical innovation depends largely on health care professionals' perceptions of its usefulness and impact on their activities and practices. We also know that interaction among social actors contributes to the shaping of their judgments and opinions regarding innovation. PURPOSE: This study investigated the role of professionals' social networks and social capital in the formation of similar individual perceptions about a highly innovative robotic surgical system. METHODOLOGY: We collected data from a sample of 50 professionals, including both physicians and nurses, working in three hospital wards belonging to an Italian hospital organization. Using a survey, we gathered data on professionals' demographic characteristics, the adoption and impact of the new technology, and social networks. We tested our hypotheses using a dyadic perspective and logistic regression quadratic assignment procedures. FINDINGS: Our findings document that professionals' perceptions regarding technological change were more likely to be similar when they were connected and exhibited similarity in some social capital characteristics and adoption behavior. PRACTICE IMPLICATIONS: These results have important implications for health care executives and administrators, as well as for health professionals characterized by high degrees of autonomy and for which organizational change can be affected by professional or organizational resistance.

Investigating the Generalizability of Economic Evaluations Conducted in Italy: A Critical Review.

OBJECTIVES: To assess the methodological quality of Italian health economic evaluations and their generalizability or transferability to different settings. METHODS: A literature search was performed on the PubMed search engine to identify trial-based, nonexperimental prospective studies or model-based full economic evaluations carried out in Italy from 1995 to 2013. The studies were randomly assigned to four reviewers who applied a detailed checklist to assess the generalizability and quality of reporting. The review process followed a three-step blinded procedure. The reviewers who carried out the data extraction were blind as to the name of the author(s) of each study. Second, after the first review, articles were reassigned through a second blind randomization to a second reviewer. Finally, any disagreement between the first two reviewers was solved by a senior researcher. RESULTS: One hundred fifty-one economic evaluations eventually met the inclusion criteria. Over time, we observed an increasing transparency in methods and a greater generalizability of results, along with a wider and more representative sample in trials and a larger adoption of transition-Markov models. However, often context-specific economic evaluations are carried out and not enough effort is made to ensure the transferability of their results to other contexts. In recent studies, cost-effectiveness analyses and the use of incremental cost-effectiveness ratio were preferred. CONCLUSIONS: Despite a quite positive temporal trend, generalizability of results still appears as an unsolved question, even if some indication of improvement within Italian studies has been observed.