What do end-users want to know about managing the performance of healthcare delivery systems? Co-designing a context-specific and practice-relevant research agenda.

BACKGROUND: Despite increasing interest in joint research priority-setting, few studies engage end-user groups in setting research priorities at the intersection of the healthcare and management disciplines. With health systems increasingly establishing performance management programmes to account for and incentivize performance, it is important to conduct research that is actionable by the end-users involved with or impacted by these programmes. The aim of this study was to co-design a research agenda on healthcare performance management with and for end-users in a specific jurisdictional and policy context. METHODS: We undertook a rapid review of the literature on healthcare performance management (n = 115) and conducted end-user interviews (n = 156) that included a quantitative ranking exercise to prioritize five directions for future research. The quantitative rankings were analysed using four methods: mean, median, frequency ranked first or second, and frequency ranked fifth. The interview transcripts were coded inductively and analysed thematically to identify common patterns across participant responses. RESULTS: Seventy-three individual and group interviews were conducted with 156 end-users representing diverse end-user groups, including administrators, clinicians and patients, among others. End-user groups prioritized different research directions based on their experiences and information needs. Despite this variation, the research direction on motivating performance improvement had the highest overall mean ranking and was most often ranked first or second and least often ranked fifth. The research direction was modified based on end-user feedback to include an explicit behaviour change lens and stronger consideration for the influence of context. CONCLUSIONS: Joint research priority-setting resulted in a practice-driven research agenda capable of generating results to inform policy and management practice in healthcare as well as contribute to the literature. The results suggest that end-users are keen to open the "black box" of performance management to explore more nuanced questions beyond "does performance management work?" End-users want to know how, when and why performance management contributes to behaviour change (or fails to) among front-line care providers.

Novel environmental monitoring detector for discriminating fallout and airborne radioactivity.

Early warning networks are used for detecting abnormal radioactivity levels in the environment. State-of-the-art networks are equipped with both dose rate detectors and spectrometric stations. Current networks don't automatically discriminate between radioactivity on the ground and in the air. A novel directional sensing gamma radiation detector utilizing a collimated phoswich scintillator was developed. The signals from the two scintillator materials are separated using a pulse shape discrimination. The separated signals are employed to determine the radioactivity concentrations on the ground and in the air assuming specific concentration distributions. Limitations related to imperfect directional sensing and dead time are discussed.

Province-Wide Prevalence Testing for SARS-CoV-2 of In-Center Hemodialysis Patients and Staff in Ontario, Canada: A Cross-Sectional Study.

BACKGROUND: People receiving in-center hemodialysis face a high risk for contracting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and experience poor outcomes. During the first wave of the coronavirus disease 2019 (COVID-19) pandemic in Ontario (between March and June 2020), it was unclear whether asymptomatic or presymptomatic cases were common and whether widespread testing of all dialysis patients and staff would identify cases earlier and prevent transmission. Ontario has a population of about 14.5 million. Approximately 8900 people receive dialysis across 102 in-center dialysis units. OBJECTIVE: The objective of this study was to determine participation rates for patients and staff in point prevalence testing in dialysis units across the province and to determine the prevalence of asymptomatic or presymptomatic infection. DESIGN: Cross-sectional study design. SETTING: In-center hemodialysis units at 27 renal programs across Ontario. PARTICIPANTS: Patients and staff in in-center dialysis units in Ontario. MEASUREMENTS: Participation rates, demographic data, SARS-CoV-2 positivity rates, and COVID-19-related symptom data. METHODS: From June 8 to 30, 2020, all in-center dialysis patients and staff in the Province of Ontario were requested to undergo a symptom screening assessment and nasopharyngeal swab. Testing was done using polymerase chain reaction to detect SARS-CoV-2. A standardized questionnaire of atypical and typical COVID-19-related symptoms was administered to patients, to assess for new or worsening COVID-19-related symptoms. RESULTS: Patient participation was 83% (7155 of 8612) of which 15 tests were positive: less than 5 (<0.07%) were new positive cases, 7 were false positive, and the remaining were recovered positives. Half of the new positive cases had symptoms. Common symptoms reported included fatigue (4%), falls (4%), runny nose (3%), dyspnea (3%), and cough (3%). Staff participation was 49% (2109 of 4325), and less than 5 (<0.24%) were asymptomatic positive. LIMITATIONS: As point prevalence testing was voluntary, not all patients and staff participated. Lower participation rate may be due to decreasing new cases in Ontario, and testing or pandemic fatigue, among other factors. This study did not use serology to identify prior infections because it was not widely available in Ontario. With respect to the standardized symptom questionnaire, it was only available in English and French and could not be tested due to the urgency of the initiative. CONCLUSIONS: Participation among patients in point prevalence testing was good, but participation among staff was relatively low. Asymptomatic positivity in the dialysis patient and staff population was rare during the first wave of the COVID-19 pandemic in Ontario.

Metrology for decommissioning nuclear facilities: Partial outcomes of joint research project within the European Metrology Research Program.

Decommissioning of nuclear facilities incurs high costs regarding the accurate characterisation and correct disposal of the decommissioned materials. Therefore, there is a need for the implementation of new and traceable measurement technologies to select the appropriate release or disposal route of radioactive wastes. This paper addresses some of the innovative outcomes of the project "Metrology for Decommissioning Nuclear Facilities" related to mapping of contamination inside nuclear facilities, waste clearance measurement, Raman distributed temperature sensing for long term repository integrity monitoring and validation of radiochemical procedures.