Organizing the national prostate cancer audit in the UK (review of foreign literature)

Background. The growing number of patients with prostate cancer (PCa) imposes additional requirements on the quality control system in healthcare, including ensuring the widespread availability of innovative algorithms for early diagnosis and treatment. One illustrative example of quality management initiatives is national PCa audit in the UK. Objective. Highlighting the approaches to quality assessments within audit of PCa care in the UK.Materials and methods. The relevant scientific data have been retrieved from Google and PubMed. The search horizon covered the last 10 years. The queries included such wording as: "prostate cancer" AND "audit" OR/AND "Great Britain" AND "quality assurance", etc.Results. At least four basic parameters were used as signal indicators to check the consistency and overall quality of the collected data on PCa patients in England and Wales. The fundamental arrangement of clinical quality indicators for PCa care comprised not less than fourteen measures. The outliers for some indicators were allocated into two groups using such criteria as: 1) more than three standard deviations from the national average (definition of an alarm); 2) more than two but below three standard deviations from the national average (definition of an alert). The outlier policy is usually applied for three treatment outcome performance indicators.Conclusion. The multidisciplinary teams must actively collaborate to provide the best standards of cancer care to the community. The introduction of multicriterial assessments to monitor the performance of highly specialized professional groups would bring a great benefit for cancer patients, particularly, through increasing the affordability of state-of-the-art medical algorithms across the counties.

A Random Forest approach to identify metrics that best predict match outcome and player ranking in the esport Rocket League

Notational analysis is a popular tool for understanding what constitutes optimal performance in traditional sports. However, this approach has been seldom used in esports. The popular esport “Rocket League” is an ideal candidate for notational analysis due to the availability of an online repository containing data from millions of matches. The purpose of this study was to use Random Forest models to identify in-match metrics that predicted match outcome (performance indicators or “PIs”) and/or in-game player rank (rank indicators or “RIs”). We evaluated match data from 21,588 Rocket League matches involving players from four different ranks. Upon identifying goal difference (GD) as a suitable outcome measure for Rocket League match performance, Random Forest models were used alongside accompanying variable importance methods to identify metrics that were PIs or RIs. We found shots taken, shots conceded, saves made, and time spent goalside of the ball to be the most important PIs, and time spent at supersonic speed, time spent on the ground, shots conceded and time spent goalside of the ball to be the most important RIs. This work is the first to use Random Forest learning algorithms to highlight the most critical PIs and RIs in a prominent esport.

Association of Fluid Balance and Survival of Pediatric Patients Treated With Extracorporeal Membrane Oxygenation

The effect of positive fluid balance (FB) on extracorporeal membrane oxygenation (ECMO) outcomes in pediatric patients remains unknown. We sought to evaluate if positive FB in pediatric intensive care unit (PICU) patients with respiratory and/or cardiac failure necessitating ECMO was associated with increased morbidity or mortality. This was a multicenter retrospective cohort study of data from the deidentified PEDiatric ECMO Outcomes Registry (PEDECOR). Patients entered into the database from 2014 to 2017, who received ECMO support, were included. A total of 168 subjects met the study criteria. Univariate analysis showed no significant difference in total FB on ECMO days 1–5 between survivors and non-survivors [median 90 ml/kg (IQR 18–208.5) for survivors vs. median 139.7 ml/kg (IQR 11.2–300.6) for non-survivors, p = 0.334]. There was also no difference in total FB on ECMO days 1–5 in patients with no change in functional outcome as reflected by the Pediatric Outcome Performance Category (POPC) score vs. those who had worsening in POPC score ≥2 at hospital discharge [median 98 ml/kg (IQR 18–267) vs. median 130 ml/kg (IQR 13–252), p = 0.91]. Subjects that required 50 ml/kg or more of blood products over the initial 5 days of ECMO support had an increased rate of mortality with an odds ratio of 5.8 (95% confidence interval of 2.7–12.3; p = 0.048). Our study showed no association of the noted FB with survival after ECMO cannulation. This FB trend was also not associated with POPC at hospital discharge, MV duration, or ECMO duration. The amount of blood product administered was found to be a significant predictor of mortality.

The Analysis of Cognitive Moral in Bridging the Gap Between Internal Marketing and B2B Salespeople Performance

This study seeks to confirm and analyse the effect of cross-level cognitive morals on internal marketing and business sales force performance (i.e. behavioural performance and outcome performance). The concepts of relationship marketing and marketing theory of ethics underpin the relationship among variables. This study adopted a quantitative approach through a survey of 460 respondents from 13 company services and manufacturers. Internal marketing variables were measured at the unit level and tested using interrater agreement and the intraclass correlation. In contrast, the cognitive moral variables, behavioural performance, and sales force performance results were measured individually. Hierarchical linear modelling (HLM) was used to test the effect of the cross-level research variables. The results showed that internal marketing empirically supports cognitive morals. However, the effect of internal marketing does not support the two-dimensional performances of the sales force. Theoretically, the contributions, internal marketing and cognitive morals have shown the relationship between marketing and marketing theory of ethics. Received: 28 April 2021 / Accepted: 15 July 2021 / Published: 5 September 2021

A Learning Analytics-informed Activity to Improve Student Performance in a First Year Physiology Course

Learning Analytics (LA) can be employed to identify course-specific factors that hinder student course (outcome) performance, which can be subsequently rectified using targeted interventions. Supplementing interventions with predictive modelling also permits the identification of students who are at-risk of failing the course and encourages their participation. LA findings suggested that a targeted intervention for our course should focus on improving student short answer question (SAQ) performance, which we attempted to achieve by improving their understanding of features pertaining to various SAQ answer standards and how to achieve them using examples of varying scores. Every student was invited to the intervention via a course-wide announcement through the course learning management system. At-risk students identified using predictive models were given an additional invitation in the form of a personalised email. Results suggest that intervention improved student understanding of SAQ performance criteria. The intervention also enhanced student end-of-semester SAQ performance by 12% and 11% for at-risk and no-risk students respectively. Course failure rate was also lower by 26% and 9% among at-risk and no-risk intervention participants. Student perception of the intervention was also positive where an overwhelming majority of participants (96%) found the interventional activity to be useful for their learning and exam preparations.

Assisted Coral Reproduction in the Dominican Republic: A Successful Story to Replicate in the Caribbean

Coral assisted fertilization, larval rearing and recruit propagation success in significant ecological scales, largely depend on scaling up and replicating these efforts in as many regions as possible. The Dominican Foundation for Marine Studies (FUNDEMAR) has become a pioneer of these efforts in the Dominican Republic, being the first institution to successfully implement coral sexual reproduction techniques in the country and establishing the first mobile larvae culturing facility. Here we share our perspective on three main components behind the success of FUNDEMAR’s program: (1) a self-sustainable program in alliance with local and international organizations, (2) the design and construction of the first Coral Assisted Reproduction Laboratory in the country, and a (3) clearly defined scalable structure for outcome performance. Two years after program implementation, FUNDEMAR has successfully produced an annual regional coral spawning prediction calendar, cultured seven coral species, and seeded over 4,500 substrates with more than 268,200 sexual coral recruits in approximately 1,880 m2 reef areas. Here, we provide a detailed description of a fully functional assisted coral reproduction program, including the lessons learned during its implementation as well as a series of specific solutions. We hope this work will help and inspire other countries and small institutions to replicate FUNDEMAR’s coral assisted reproduction program components and contribute to the expansion of sexual coral restoration efforts in the Caribbean.

Comparison of patient- and clinician-reported outcome measures in lower back rehabilitation: introducing a new integrated performance measure (t2D)

Purpose Patient- and clinician-reported outcome measures (PROMs, CROMs) are used in rehabilitation to evaluate and track the patient’s health status and recovery. However, controversy still exists regarding their relevance and validity when assessing a change in health status. Methods We retrospectively analyzed the changes in a CROM (Fingertip-To-Floor Test – FTF) and PROMs (ODI, HAQ-DI, NPRS, EQ5D) and the associations between these outcomes in 395 patients with lower back pain (57.2 ± 11.8 years, 49.1% female). We introduced a new way to measure and classify outcome performance using a distribution-based approach (t2D). Outcome measures were assessed at baseline and after 21 days of inpatient rehabilitation. Results Overall, the rehabilitation (Cohens d = 0.94) resulted in a large effect size outcome. Medium effect sizes were observed for FTF (d = 0.70) and PROMs (d > 0.50). Best performance rating was observed for pain (NPRS). We found that 13.9% of patients exhibited a deterioration in the PROMs, but only 2.3%, in the FTF. The correlation between the PROMs and FTF were low to moderate, with the highest identified for HAQ-DI (rho = 0.30–0.36); no significant correlations could be shown for changes. High consistency levels were observed among the performance scores (t2D) in 68.9% of the patients. Conclusions Different and complementary assessment modalities of PROMs and CROMs can be used as valuable tools in the clinical setting. Results from both types of measurements and individual performance assessments in patients provide a valid basis for the meaningful interpretation of the patients’ health outcomes. Trial registration. This clinical study was entered retrospectively on August 14, 2020 into the German Clinical Trials Register (DRKS, registration number: DRKS00022854).

Impact of Pay-for-performance Incentives for Contracted Family Doctor Service among Primary Healthcare Providers on Diabetes Care in China

Background: As the first step towards building a gatekeeping system in China, the governments have introduced a contracted family doctor service (CFDS) policy in primary healthcare (PHC) facilities since 2016. The impact of performance-based salary (PBS) system incentive on performance remained unknown. This study was to examine the association between the PBS adding incentive for CFDS and the performance indicators of diabetes care. Methods: We conducted a cross-sectional study in 72 PHC facilities in 6 cities that piloted the CFDS, extracting 827 PHC health workers and 420 diabetes patients. The PHC health workers’ performance on delivery of diabetes care focused on the continuity and coordination of care. The outcome performance of diabetes care was measured by patients’ utilization of diabetes care and control of blood glucose reported by patients.Results: PHC health workers whose performance on contracted service was included in the overall performance assessment had 0.279 (95% CI 0.031-0.526) more score of the continuity of care, and had 92.6% (OR 1.926, 95% CI 1.160-3.197) higher likelihood of good coordination of care. PHC health workers whose performance linked with increased income were 168.1% (OR 2.681, 95% CI 1.502-4.788) and 78.0% (OR 1.780, 95% CI 1.220-2.597) more likely to have good continuity and coordination of care, respectively. The facility level analysis showed that additional one-point percentage of PHC health workers whose performance on contracted service was included in the overall performance assessment, and additional one-point percentage of whose performance assessment increased their income was associated with 7.192 (OR 8.192, 95% CI 1.903-35.266) times and 52.2% (OR 1.522, 95% CI 1.055-2.196) higher probability of having their patients with control of blood glucose. Additional one-point percentage of PHC health workers whose performance assessment increased their income was associated with 0.559 (95% CI 0.139-0.979) more score on patients’ utilization of diabetes care.Conclusions: Inclusion of the requirements on CFDS into the assessment criteria, and adding the incentives rewarding better performance on contracted family doctors into PBS system for PHC health workers were associated with better delivery process and outcome performance on diabetes care.

A Random Forest approach to identify metrics that best predict match outcome and player ranking in the esport Rocket League

Notational analysis is a popular tool for understanding what constitutes optimal performance in traditional sports. However, this approach has been seldom used in esports. The popular esport “Rocket League” is an ideal candidate for notational analysis due to the availability of an online repository containing data from millions of matches. The purpose of this study was to use Random Forest models to identify in-match metrics that predicted match outcome (performance indicators or “PIs”) and/or in-game player rank (rank indicators or “RIs”). We evaluated match data from 21,588 Rocket League matches involving players from four different ranks. Upon identifying goal difference (GD) as a suitable outcome measure for Rocket League match performance, Random Forest models were used alongside accompanying variable importance methods to identify metrics that were PIs or RIs. We found shots taken, shots conceded, saves made, and time spent goalside of the ball to be the most important PIs, and time spent at supersonic speed, time spent on the ground, shots conceded and time spent goalside of the ball to be the most important RIs. This work is the first to use Random Forest learning algorithms to highlight the most critical PIs and RIs in a prominent esport.