Participatory methods used in the evaluation of medical devices: a comparison of focus groups, interviews, and a survey.

BACKGROUND: Stakeholder engagement in evaluation of medical devices is crucial for aligning devices with stakeholders' views, needs, and values. Methods for these engagements have however not been compared to analyse their relative merits for medical device evaluation. Therefore, we systematically compared these three methods in terms of themes, interaction, and time-investment. METHODS: We compared focus groups, interviews, and an online survey in a case-study on minimally invasive endoscopy-guided surgery for patients with intracerebral haemorrhage. The focus groups and interviews featured two rounds, one explorative focussing on individual perspectives, and one interactive focussing on the exchange of perspectives between participants. The comparison between methods was made in terms of number and content of themes, how participants interact, and hours invested by all researchers. RESULTS: The focus groups generated 34 themes, the interviews 58, and the survey 42. Various improvements for the assessment of the surgical procedure were only discussed in the interviews. In focus groups, participants were inclined to emphasise agreement and support, whereas the interviews consisted of questions and answers. The total time investment for researchers of focus groups was 95 h, of interviews 315 h, and survey 81 h. CONCLUSIONS: Within the context of medical device evaluation, interviews appeared to be the most appropriate method for understanding stakeholder views since they provide a scope and depth of information that is not generated by other methods. Focus groups were useful to rapidly bring views together. Surveys enabled a quick exploration. Researchers should account for these methodological differences and select the method that is suitable for their research aim.

Identifying the Conditions for Cost-Effective Minimally Invasive Neurosurgery in Spontaneous Supratentorial Intracerebral Hemorrhage.

Background: In patients with spontaneous supratentorial intracerebral hemorrhage (ICH), open craniotomy has failed to improve a functional outcome. Innovative minimally invasive neurosurgery (MIS) may improve a health outcome and reduce healthcare costs. Aims: Before starting phase-III trials, we aim to assess conditions that need to be met to reach the potential cost-effectiveness of MIS compared to usual care in patients with spontaneous supratentorial ICH. Methods: We used a state-transition model to determine at what effectiveness and cost MIS would become cost-effective compared to usual care in terms of quality-adjusted life-years (QALYs) and direct healthcare costs. Threshold and two-way sensitivity analyses were used to determine the minimal effectiveness and maximal costs of MIS, and the most cost-effective strategy for each combination of cost and effectiveness. Scenario and probabilistic sensitivity analyses addressed model uncertainty. Results: Given €10,000 of surgical costs, MIS would become cost-effective when at least 0.7-1.3% of patients improve to a modified Rankin Scale (mRS) score of 0-3 compared to usual care. When 11% of patients improve to mRS 0-3, surgical costs may be up to €83,301-€164,382, depending on the population studied. The cost-effectiveness of MIS was mainly determined by its effectiveness. In lower mRS states, MIS needs to be more effective to be cost-effective compared to higher mRS states. Conclusion: MIS has the potential to be cost-effective in patients with spontaneous supratentorial ICH, even with relatively low effectiveness. These results support phase-III trials to investigate the effectiveness of MIS.

Early EEG for outcome prediction of postanoxic coma: prospective cohort study with cost-minimization analysis.

BACKGROUND: We recently showed that electroencephalography (EEG) patterns within the first 24 hours robustly contribute to multimodal prediction of poor or good neurological outcome of comatose patients after cardiac arrest. Here, we confirm these results and present a cost-minimization analysis. Early prognosis contributes to communication between doctors and family, and may prevent inappropriate treatment. METHODS: A prospective cohort study including 430 subsequent comatose patients after cardiac arrest was conducted at intensive care units of two teaching hospitals. Continuous EEG was started within 12 hours after cardiac arrest and continued up to 3 days. EEG patterns were visually classified as unfavorable (isoelectric, low-voltage, or burst suppression with identical bursts) or favorable (continuous patterns) at 12 and 24 hours after cardiac arrest. Outcome at 6 months was classified as good (cerebral performance category (CPC) 1 or 2) or poor (CPC 3, 4, or 5). Predictive values of EEG measures and cost-consequences from a hospital perspective were investigated, assuming EEG-based decision- making about withdrawal of life-sustaining treatment in the case of a poor predicted outcome. RESULTS: Poor outcome occurred in 197 patients (51% of those included in the analyses). Unfavorable EEG patterns at 24 hours predicted a poor outcome with specificity of 100% (95% CI 98-100%) and sensitivity of 29% (95% CI 22-36%). Favorable patterns at 12 hours predicted good outcome with specificity of 88% (95% CI 81-93%) and sensitivity of 51% (95% CI 42-60%). Treatment withdrawal based on an unfavorable EEG pattern at 24 hours resulted in a reduced mean ICU length of stay without increased mortality in the long term. This gave small cost reductions, depending on the timing of withdrawal. CONCLUSIONS: Early EEG contributes to reliable prediction of good or poor outcome of postanoxic coma and may lead to reduced length of ICU stay. In turn, this may bring small cost reductions.