Differentiating innovation priorities among stakeholder in hospital care

Background Decisions to adopt a particular innovation may vary between stakeholders because individual stakeholders may disagree on the costs and benefits involved. This may translate to disagreement between stakeholders on priorities in the implementation process, possibly explaining the slow diffusion of innovations in health care. In this study, we explore the differences in stakeholder preferences for innovations, and quantify the difference in stakeholder priorities regarding costs and benefits. Methods The decision support technique called the analytic hierarchy process was used to quantify the preferences of stakeholders for nine information technology (IT) innovations in hospital care. The selection of the innovations was based on a literature review and expert judgments. Decision criteria related to the costs and benefits of the innovations were defined. These criteria were improvement in efficiency, health gains, satisfaction with care process, and investments required. Stakeholders judged the importance of the decision criteria and subsequently prioritized the selected IT innovations according to their expectations of how well the innovations would perform for these decision criteria. Results The stakeholder groups (patients, nurses, physicians, managers, health care insurers, and policy makers) had different preference structures for the innovations selected. For instance, self-tests were one of the innovations most preferred by health care insurers and managers, owing to their expected positive impacts on efficiency and health gains. However, physicians, nurses and patients strongly doubted the health gains of self-tests, and accordingly ranked self-tests as the least-preferred innovation. Conclusions The various stakeholder groups had different expectations of the value of the nine IT innovations. The differences are likely due to perceived stakeholder benefits of each innovation, and less to the costs to individual stakeholder groups. This study provides a first exploratory quantitative insight into stakeholder positions concerning innovation in health care, and presents a novel way to study differences in stakeholder preferences. The results may be taken into account by decision makers involved in the implementation of innovation

Needs and barriers to improve the collaboration in oral anticoagulant therapy: a qualitative study

Contains fulltext : 96138.pdf (publisher's version ) (Open Access

Willingness to participate in a lifestyle intervention program of patients with type 2 diabetes mellitus: a conjoint analysis

Background: Several studies suggest that lifestyle interventions can be effective for people with, or at risk for, diabetes. The participation in lifestyle interventions is generally low. Financial incentives may encourage participation in lifestyle intervention programs. Objetive: The main aim of this exploratory analysis is to study empirically potential effects of financial incentives on diabetes patients' willingness to participate in lifestyle interventions. One financial incentive is negative ("copayment") and the other incentive is positive ("bonus"). The key part of this research is to contrast both incentives. The second aim is to investigate the factors that influence participation in a lifestyle intervention program. Methods: Conjoint analysis techniques were used to empirically identify factors that influence willingness to participate in a lifestyle intervention. For this purpose diabetic patients received a questionnaire with descriptions of various forms of hypothetical lifestyle interventions. They were asked if they would be willing to participate in these hypothetical programs. Results: In total, 174 observations were rated by 46 respondents. Analysis showed that money was an important factor independently associated with respondents' willingness to participate. Receiving a bonus seemed to be associated with a higher willingness to participate, but having to pay was negatively associated with participation in the lifestyle intervention. Conclusion: Conjoint analysis results suggest that financial considerations may influence willingness to participate in lifestyle intervention programs. Financial disincentives in the form of copayments might discourage participation. Although the positive impact of bonuses is smaller than the negative impact of copayments, bonuses could still be used to encourage willingness to participate

Differences in patient outcomes and chronic care management of oral anticoagulant therapy: an explorative study

Contains fulltext : 96817.pdf (publisher's version ) (Open Access)BACKGROUND: The oral anticoagulant therapy - provided to prevent thrombosis - is known to be associated with substantial avoidable hospitalization. Improving the quality of the oral anticoagulant therapy could avoid drug related hospitalizations. Therefore, this study compared the patient outcomes between Dutch anticoagulant clinic (AC) regions taking the variation in chronic care management into account in order to explore whether chronic care management elements could improve the quality of oral anticoagulant therapy. METHODS: Two data sources were combined. The first source was a questionnaire that was send to all ACs in the Netherlands in 2008 (response = 100%) to identify the application of chronic care management elements in the AC regions. The Chronic Care Model of Wagner was used to make the concept of chronic care management operational. The second source was the report of the Dutch National Network of ACs which contains patient outcomes of the ACs. RESULTS: Patient outcomes achieved by the ACs were good, yet differences existed; for instance the percentage of patients in the appropriate therapeutic ranges varied from 67 to 87% between AC regions. Moreover, differences existed in the use of chronic care management elements of the chronic care model, for example 12% of the ACs had multidisciplinary meetings and 58% of the ACs had formal agreements with at least one hospital within their region. Patient outcomes were significantly associated with patient orientation and the number of specialized nurses versus doctors (p-values < 0.05). Furthermore, the overall extent to which chronic care management elements were applied was positively associated with patient outcomes (p-values < 0.05). CONCLUSIONS: Substantial differences in the patient outcomes as well as chronic care management of oral anticoagulant therapy existed. Since our results showed a positive association between overall application of chronic care management and patient outcomes, additional research is needed to fully understand the working mechanism of chronic care management

Implementation of Out-of-Office Blood Pressure Monitoring in the Netherlands: From Clinical Guidelines to Patients’ Adoption of Innovation

Out-of-office blood pressure monitoring is promoted by various clinical guidelines toward properly diagnosing and effectively managing hypertension and engaging the patient in their care process. In the Netherlands, however, the Dutch cardiovascular risk management (CVRM) guidelines do not explicitly prescribe 24-hour ambulatory blood pressure measurement (ABPM) and home BP measurement (HBPM). The aim of this descriptive study was to develop an understanding of patients’ and physicians’ acceptance and use of out-of-office BP monitoring in the Netherlands given the CVRM recommendations. Three small focus group discussions (FGDs) with patients and 1 FGD with physicians were conducted to explore the mechanisms behind the acceptance and use of out-of-office BP monitoring and reveal real-world challenges that limit the implementation of out-of-office BP monitoring methods. To facilitate the FGDs, an analytical framework based on the technology acceptance model (TAM), the theory of planned behavior and the model of personal computing utilization was developed to guide the FGDs and analysis of the transcriptions of each FGD. ABPM was the out-of-office BP monitoring method prescribed by physicians and used by patients. HBPM was not offered to patients even with patients’ feedback of poor tolerance of ABPM. Even as there was little awareness about HBPM among patients, there were a few patients who owned and used sphygmomanometers. Patients professed and seemed to exhibit self-efficacy, whereas physicians had reservations about (all of their) patients’ self-efficacy in properly using ABPM. Since negative experience with ABPM impacted patients’ acceptance of ABPM, the interaction of factors that determined acceptance and use was found to be dynamic among patients but not for physicians. In reference to the CVRM guidelines, physicians implemented out-of-office BP monitoring but showed a strong preference for ABPM even where there is poor tolerance of the method. We found that physicians’ positive attitude to ABPM enabled the use of the method by patients which, in turn, impeded the diffusion of HBPM. For patients, the acceptance process of HBPM can only begin after the physician has adopted the innovation. Physicians are in a position to encourage as well as hinder out-of-office BP monitoring and self-managemen