This study piloted a knowledge translation (KT) intervention promoting evidence-based home care through social interaction. A total of 33 providers organized into 5 heterogeneous, geographically defined action groups participated in 5 researcher-facilitated meetings based on the participatory action model. The KT evidence reflects an empowering partnership approach to service delivery. Exploratory investigation included quantitative pre-post measurement of outcomes and qualitative description of data, presented herein. The critical reflections of the groups reveal macro-, meso-, and micro-level barriers to and facilitators of KT as well as recommendations for achieving KT. Insights gleaned from the findings have informed the evolution of the KT intervention to engage all 3 levels in addressing barriers and facilitators, with a conscious effort to transcend "push" and "pull" tendencies and enact transformative leadership. The findings suggest the merit of a more prolonged longitudinal investigation with expanded participation.
Social, ethical and policy analysis of the issues arising from gene patenting and commercial genetic testing is enhanced by the application of science and technology studies, and Actor-Network Theory (ANT) in particular. We suggest the potential for transferring ANT's flexible nature to an applied heuristic methodology for gathering empirical information and for analysing the complex networks involved in the development of genetic technologies. Three concepts are explored in this paper--actor-networks, translation, and drift--and applied to the case of Myriad Genetics and their commercial BRACAnalysis genetic susceptibility test for hereditary breast cancer. Treating this test as an active participant in socio-technical networks clarifies the extent to which it interacts with, shapes and is shaped by people, other technologies, and institutions. Such an understanding enables more sophisticated and nuanced technology assessment, academic analysis, as well as public debate about the social, ethical and policy implications of the commercialization of new genetic technologies.
The BC Cancer Agency sees 128,172 patients per year, of which 2,186 are referred to the Patient Symptom Management/Palliative Care (PSMPC) clinics for tertiary symptom management. Other than at the PSMPC clinics, screening for symptom distress is extremely variable because there is no systematic assessment protocol. In a recent audit of patients coming to the Cancer Agency, approximately 64% of patients reported experiencing a moderate to severe level of symptom distress. Of the total patients in the audit (n = 1,147), only 18 were seen by the PSMPC teams and it is unclear whether or not the remaining patients had their symptoms attended to by a health professional at the BCCA.The tool which the BCCA has chosen for screening and assessment is the Edmonton Symptom Assessment System (ESAS), which was developed by Dr. Eduardo Bruera. ESAS is a nine-item, self-reporting, visual analogue instrument used to measure pain and other symptoms using numeric ratings. Cancer Care Ontario (CCO) has developed an electronic means whereby patients' ESAS scores are entered and housed in an electronic health record and then used for triage. BCCA is in partnership with CCO to adapt this system for use in BC.
To understand the key challenges to adoption of advanced features of electronic medical records (EMRs) in office practice, and to better understand these challenges in a Canadian context.
Health care providers and staff in 5 primary care offices.
Level of EMR adoption was assessed, and field notes from interviews and discussion groups were qualitatively analyzed for common challenges and themes across all sites.
Fifty-seven interviews and 4 discussion groups were conducted from November 2011 to January 2012. Electronic medical record adoption scores ranged from 2.3 to 3.0 (out of a theoretical maximum of 5). Practices often scored lower than expected on use of decision support, providing patients with access to their own data, and use of practice-reporting tools. Qualitative analysis showed there were ceiling effects to EMR adoption owing to how the EMR was implemented, the supporting eHealth infrastructure, lack of awareness or availability of EMR functionality, and poor EMR data quality.
Many practitioners used their EMRs as "electronic paper records" and were not using advanced features of their EMRs that could further enhance practice. Data-quality issues within the EMRs could affect future attempts at using these features. Education and quality improvement activities to support data quality and EMR optimization are likely needed to support practices in maximizing their use of EMRs.
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The purpose of this field study was to measure the influence of three factors on the adoption of information technology in a health care setting--namely, attitudes toward using the technology, subjective norms or beliefs about others' expectations, and perceived voluntariness. Approximately 77 percent of the variance of intent to use the technology was explained by three attitude variables (beliefs related to perceived relative advantage and compatibility with previous work patterns as well as result demonstrability), and one variable associated with subjective norms (influence of a senior policymaker, the director of nursing). Use of this model may provide insights for administrators managing the process of information technology implementation in health care.
The adoption of new medical technologies often generates losses in efficiency associated with the excess or insufficient acquisition of new equipment, an inappropriate choice (in terms of economic and clinical parameters) of medical equipment, and its poor use. Russia is a good example for exploring the problem of the ineffective adoption of new medical technologies due to the massive public investment in new equipment for medical institutions in 2006-2013. This study examines the procurement of new technologies in Russian hospitals to find the main causes of inefficiency. The research strategy was based on in-depth semistructured interviews with representatives of prominent actors (regional health care authorities, hospital executives, senior physicians). The main result is that inefficiencies arise from the contradiction between hospitals' and authorities' motivation for acquiring new technologies: hospitals tend to adopt technologies which bring benefits to their department heads and physicians and minimize maintenance and servicing costs, while the authorities' main concern is the initial cost of the technology.
Priority setting in health care is a challenge because demand for services exceeds available resources. The increasing demand for less invasive surgical procedures by patients, health care institutions and industry, places added pressure on surgeons to acquire the appropriate skills to adopt innovative procedures. Such innovations are often initiated and introduced by surgeons in the hospital setting. Decision-making processes for the adoption of surgical innovations in hospitals have not been well studied and a standard process for their introduction does not exist. The purpose of this study is to describe and evaluate the decision-making process for the adoption of a new technology for repair of abdominal aortic aneurysms (endovascular aneurysm repair [EVAR]) in an academic health sciences centre to better understand how decisions are made for the introduction of surgical innovations at the hospital level.
A qualitative case study of the decision to adopt EVAR was conducted using a modified thematic analysis of documents and semi-structured interviews. Accountability for Reasonableness was used as a conceptual framework for fairness in priority setting processes in health care organizations.
There were two key decisions regarding EVAR: the decision to adopt the new technology in the hospital and the decision to stop hospital funding. The decision to adopt EVAR was based on perceived improved patient outcomes, safety, and the surgeons' desire to innovate. This decision involved very few stakeholders. The decision to stop funding of EVAR involved all key players and was based on criteria apparent to all those involved, including cost, evidence and hospital priorities. Limited internal communications were made prior to adopting the technology. There was no formal means to appeal the decisions made.
The analysis yielded recommendations for improving future decisions about the adoption of surgical innovations. ese empirical findings will be used with other case studies to help develop guidelines to help decision-makers adopt surgical innovations in Canadian hospitals.
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Internet-based patient support systems are widely assumed to predict a future trend in patient education. Coherent information is still lacking on how patient education is adopted in psychiatric hospitals and how information technology is used in it. Our aim was to describe nurses' adoption of an Internet-based patient education programme and the variables explaining it. The study was based on Rogers' model of the diffusion of innovation. The Internet-based patient education sessions were carried out by nurses on nine acute psychiatric inpatient wards in two Finnish hospitals. They were evaluated with reports and analysed statistically. Out of 100 nurses, 83 adopted the programme during the study period. The nurses fell into Rogers' groups, late majority (72%), laggards (17%), early majority (7%), early adopters (3%) and innovators (1%). Three groups were formed according to their activity: laggards, late majority, adopters (including early majority, early adopters, innovators). There was a statistical difference between the nurses' programme adoption between the two hospitals (P= 0.045): more laggards (65% vs. 35%) and adopters (73% vs. 27%) in the same hospital. The findings help to provide insight into the contexts and settings when adopting information technology programmes in the area of mental health care.