Adoption Of Healthcare Technology Research Articles

Factors affecting the adoption of quality assurance technologies in healthcare

In the light of public concern and of strong policy emphasis on quality and safety in the nursing care of patients in hospital settings, this paper aims to focus on the factors affecting the adoption of innovative quality assurance technologies. Two sets of complementary literature were mined for key themes. Next, new empirical insights were sought. Data gathering was conducted in three phases. The first involved contact with NHS Technology Hubs and other institutions which had insights into leading centres in quality assurance technologies. The second phase was a series of telephone interviews with lead nurses in those hospitals which were identified in the first phase as comprising the leading centres. The third phase comprised a series of face to face interviews with innovators and adopters of healthcare quality assurance technologies in five hospital trusts. There were three main sets of findings. First, despite the strong policy push and the templates established at national level, there were significant variations in the nature and robustness of the quality assurance toolkits that were developed, adapted and adopted. Second, in most of the adopting cases there were important obstacles to the full adoption of the toolkits that were designed. Third, the extent and nature of the ambition of the developers varied dramatically - some wished to see their work impacting widely across the health service; others had a number of different reasons for wanting to restrict the impact of their work. The general concerns about front-line care and the various inquiries into care quality failures emphasise the need for improved and consistent care quality assurance methodologies and practice. The technology adoption literature gives only partial insight into the nature of the challenges; this paper offers specific insights into the factors inhibiting the full adoption of quality assurance technologies in ward-based care.

Endogenous cost-effectiveness analysis and health care technology adoption

Increased health care spending has placed pressure on public and private payers to prioritize spending. Cost-effectiveness (CE) analysis is the main tool used by payers to prioritize coverage of new therapies. We argue that reimbursement based on CE is subject to a form of the “Lucas critique”; the goals of CE policies may not materialize when firms affected by the policies respond optimally to them. For instance, because ‘costs’ in CE analysis reflect prices set optimally by firms rather than production costs, observed CE levels will depend on how firm pricing responds to CE policies. Observed CE is therefore endogenous. When CE is endogenously determined, policies aimed at lowering spending and improving overall CE may paradoxically raise spending and lead to the adoption of more resource-costly treatments. We empirically illustrate whether this may occur using data on public coverage decisions in the United Kingdom.

A Rasch model analysis of technology usage in Minnesota hospitals

PurposeTo identify whether the level of difficulty varied among various healthcare technologies. In addition, to examine the whether the degree of healthcare technology adoption was related to patient safety. MethodsThe data on healthcare technology usage came from a survey of hospitals in Minnesota. There were responses from individuals within 104 hospitals for an effective response rate of 72.7%. The data on patient safety was taken from the Hospital Compare database. Rasch model analysis and regression analysis were used to analyze the data. ResultsRasch model analysis revealed that the difficulty of implementation of healthcare information technologies varied by the particular technology. That is, some technologies were more difficult than other technologies. Further, it was found that the degree of healthcare information technology implementation within a hospital was significantly related to patient safety. ConclusionThis study identified design and policy implications for hospital decision makers. In particular, it was shown that the technological capability of a hospital is a key consideration in determining the level of resources that are necessary to implement specific healthcare technologies within a hospital.

Adoption of telemedicine: from pilot stage to routine delivery

BackgroundToday there is much debate about why telemedicine has stalled. Teleradiology is the only widespread telemedicine application. Other telemedicine applications appear to be promising candidates for widespread use, but they remain in the early adoption stage. The objective of this debate paper is to achieve a better understanding of the adoption of telemedicine, to assist those trying to move applications from pilot stage to routine delivery.DiscussionWe have investigated the reasons why telemedicine has stalled by focusing on two, high-level topics: 1) the process of adoption of telemedicine in comparison with other technologies; and 2) the factors involved in the widespread adoption of telemedicine. For each topic, we have formulated hypotheses. First, the advantages for users are the crucial determinant of the speed of adoption of technology in healthcare. Second, the adoption of telemedicine is similar to that of other health technologies and follows an S-shaped logistic growth curve. Third, evidence of cost-effectiveness is a necessary but not sufficient condition for the widespread adoption of telemedicine. Fourth, personal incentives for the health professionals involved in service provision are needed before the widespread adoption of telemedicine will occur.SummaryThe widespread adoption of telemedicine is a major -- and still underdeveloped -- challenge that needs to be strengthened through new research directions. We have formulated four hypotheses, which are all susceptible to experimental verification. In particular, we believe that data about the adoption of telemedicine should be collected from applications implemented on a large-scale, to test the assumption that the adoption of telemedicine follows an S-shaped growth curve. This will lead to a better understanding of the process, which will in turn accelerate the adoption of new telemedicine applications in future. Research is also required to identify suitable financial and professional incentives for potential telemedicine users and understand their importance for widespread adoption.

PHP168 Endogenous Cost-Effectiveness Analysis in Health Care Technology Adoption

PHP168 Endogenous Cost-Effectiveness Analysis in Health Care Technology Adoption

Can knowledge management enhance technology adoption in healthcare? A review of the literature

The rate of adoption of new technologies into healthcare systems is considered to be slower than in other settings. A range of knowledge-based facilitators of adoption exist, including: technology specification and assessment; dissemination tools (including electronic decision support tools); networks and facilitated interaction; and skills and leadership development. A review of the evidence relating to each of these is reported in this paper. The authors identify the absence of a single knowledge-related ‘magic bullet’ before proposing an analytical framework for the future assessment of knowledge-based interventions and their impact on technology adoption.

Evaluación económica de intervenciones sanitarias en España durante el periodo 1983-2008

Economic evaluation has been promoted as a tool to guide decision-making processes regarding healthcare resources' allocation and in the adoption of healthcare technologies. We analyzed the evolution and the main characteristics of economic evaluations of healthcare interventions done during the period 1983-2008 in Spain. Observational descriptive study. We performed a systematic review in the main bibliographic databases (PubMed/ MEDLINE, SCOPUS, ISI Web of Knowledge, CRD, IME, IBECS) and manually through Internet in journals and public reports. There were predefined inclusion and exclusion criteria, and a set of variables to analyze the characteristics of the selected reports. In total, 477 studies fulfilled the inclusion criteria. Some of the studies characteristics were: cost-effectiveness analysis (62.5%), decision analysis techniques (34.0%), healthcare system perspective (42.1%), therapeutic interventions (70.0%) and non explicit financing (44.0%). The geographical distribution for Spanish regions of the first authors was: Catalonia (29.3%), Community of Madrid (23.7%), Andalusia (6,7%) and Region of Valencia (6.3%). A total of 50.9% of the principal authors were employed at hospital centers. The most common disease conditions were: cardiovascular diseases (15.7%), infectious and parasitic diseases (15.3%) and malignant neoplasms (13.2%). A total of 82.2 % of the reports provided recommendations for decision making. An increasing number of studies was observed. Identified reports combined heterogeneity in the quality of the information brought with regard to analysis methods, data sources, type of interventions, or disease conditions. It is suggested to do more efforts for improving the quantity and quality of reports in public health interventions.

Factors affecting health care workers’ adoption of a website with infection control guidelines

Goal To identify factors that could affect health care workers’ (HCWs) adoption of a website for communicating infection control guidelines. Methods In total, 20 semi-structured interviews were conducted with HCWs in 5 different occupational groups and 4 different hospitals in the Netherlands and Germany. A website communicating guidelines for the prevention and control of Methicillin Resistant Staphylococcus aureus served as a casus. The HCWs, the majority of whom had prior experience with the website, were asked to give their opinions about factors that hinder or facilitate adoption of the website in practice. The interviews were based on the PRECEDE (Predisposing, Reinforcing, and Enabling Causes in Educational Diagnosis and Evaluation) model complemented by quality criteria for health-related websites. This model encompasses different categories of factors relevant to technology adoption in health care. Results A total of 361 interview statements were relevant to the four main categories of the PRECEDE model, yielding the following observations: (1) Technological factors (72 statements): The usability, design, and relevance of the website were positively valued. The website enabled HCWs to access contextually relevant information quickly. The website's credibility was evaluated rather negatively, as respondents perceived that the website's guidelines were not in concurrence with the best available evidence and it was not clear to HCWs who created the website. (2) Individual factors (85 statements): Respondents, particular infection control professionals, showed individual resistance to the website because they preferred to use their personal knowledge and experience (and communication with colleagues) over online sources. (3) Work-related factors (53 statements): Respondents perceived high work pressure during working hours as an impediment to consulting the website. In contrast, respondents thought the website might lower work pressure for infection control professionals, as they will receive fewer questions from HCWs. (4) Organizational factors (131 statements): Interpersonal (face-to-face) communication between HCWs from different occupational groups in both a formal (training) and informal (feedback) manner was seen as the most stimulating factor behind website use. The respondents identified infection control nurses as the most important opinion leaders. Conclusion Factors from multiple categories determine HCWs’ adoption of web-based guidelines, but the organization appeared to be a paramount reinforcer of initiation and maintenance of technology adoption among HCWs. In order eliminate resistance and create ownership among HCWs toward the website, leading to a willingness to integrate the website into routine care, it is essential to more actively involve HCWs in the early phases of the design process.

Health Care Technology Adoption and Diffusion in a Social Context

This article highlights mechanisms that may further sustainable technological development for the 21st century. The distributional effects associated with the adoption and diffusion of health care technologies are addressed wherein the capacity to capitalize on the health gains from the adoption of technology varies in society. These effects are caused by the actions of individuals as they segment themselves into distinct social groups. The circumstances under which social institutions are further segmented are explored and may motivate public sector limits on the funding for and diffusion of health care technologies. Safety and efficacy benchmarks are necessary but insufficient conditions for sustainability as product advantage on grounds of cost-effectiveness must also be demonstrated. Furthermore, given the substantial role played by public sector decision makers in purchasing health care technologies, the distributional consequences associated with the uptake and diffusion of technology need to be gauged by product designers and those responsible for marketing.

A rational framework for decision making by the National Institute For Clinical Excellence (NICE)

Regulatory and reimbursement authorities face uncertain choices when considering the adoption of health-care technologies. In this Viewpoint, we present an analytic framework that separates the issue of whether a technology should be adopted on the basis of existing evidence from whether more research should be demanded to support future decisions. We show the application of this framework to the assessment of heath-care technologies using a published analysis of a new drug treatment for Alzheimer's disease. The results of the analysis show that the amount and type of evidence required to support the adoption of a health technology will differ substantially between technologies with different characteristics. Additionally, the analysis can be used to aid the efficient design of research. We discuss the implications of adoption of this new framework for regulatory and reimbursement decisions.

Managed care and technology adoption in health care: evidence from magnetic resonance imaging

This paper empirically examines the relationship between HMO market share and the diffusion of magnetic resonance imaging (MRI) equipment. Across markets, increases in HMO market share are associated with slower diffusion of MRI into hospitals between 1983 and 1993, and with substantially lower overall MRI availability in the mid- and later 1990s. High managed care areas also had markedly lower rates of MRI procedure use. These results suggest that technology adoption in health care can respond to changes in financial and other incentives associated with managed care, which may have implications for health care costs and patient welfare.

Information technology adoption in health care: when organisations and technology collide.

The implementation of advanced information systems is enabling great social and organisational changes. However, health care has been one of the slowest sectors to adopt and implement information technology (IT). This paper investigates why this is so, reviewing innovation diffusion theory and its application to both health organisations and information technology. Innovation diffusion theory identifies variables that influence the 'innovativeness' of organisations and the rate at which a technology diffuses. When analysed, these variables show why IT implementation has progressed at a slower rate in health compared with other industry sectors. The complexity of health organisations and their fragmented internal structure constrain their ability to adopt organisation wide IT. This is further impacted upon by the relative immaturity of strategic health IT which is complicated and unable to show quantifiable benefits. Both organisational and technological factors lead to the slow adoption of strategic IT. On the other hand, localised IT solutions and those providing measurable cost reductions have diffused well.