Managing the academic talent void : investigating factors in academic turnover and retention in South Africa

ORIENTATION: Globally, the demand for academic staff in higher education is expected to continue to increase. The South African situation is exacerbated by the so-called ‘retirement swell’ and turnover and retention problems; measurements to diagnose these factors remain limited. RESEARCH PURPOSE: This study aimed to investigate the factors that influence turnover and retention of academic and to validate the developed talent retention diagnostic tool for use in South African higher education institutions. MOTIVATION FOR THE STUDY: Limited research currently exists on the retention factors of academic staff in the South African context. RESEARCH APPROACH, DESIGN AND METHOD: Using an investigative quantitative research approach, the tool was administered to a convenience sample of academics (n = 153) in 13 higher education institutions. MAIN FINDINGS: The results showed an array of distinguishing turnover and retention factors and proved the tool to be a valid and reliable measure. Over half the respondents indicated slight to strong dissatisfaction with compensation and performance management practices. Significantly, 34% indicated that they considered exiting their academic institution, citing unhappiness about compensation, as the most likely reason, whilst 74.5% have previously looked for another job. PRACTICAL/MANAGERIAL IMPLICATIONS: The research highlights key areas (i.e. compensation, emotional recognition, a bonus structure that reflects employee contribution, performance management systems, mentorship and career development opportunities) that higher education should attend to if they want to retain their key and talented academic staff. CONTRIBUTION/VALUE-ADD: The results contribute to new knowledge on the factors that contribute to turnover and retention of academic staff and present a valid and reliable measure to assess these retention factors.This article is based on Marguerite Theron’s doctoral study, which is currently in progresshttp://www.sajip.co.zaam201

Individual Patient-Level Meta-Analysis of the Performance of the Decipher Genomic Classifier in High-Risk Men After Prostatectomy to Predict Development of Metastatic Disease.

Purpose To perform the first meta-analysis of the performance of the genomic classifier test, Decipher, in men with prostate cancer postprostatectomy. Methods MEDLINE, EMBASE, and the Decipher genomic resource information database were searched for published reports between 2011 and 2016 of men treated by prostatectomy that assessed the benefit of the Decipher test. Multivariable Cox proportional hazards models fit to individual patient data were performed; meta-analyses were conducted by pooling the study-specific hazard ratios (HRs) using random-effects modeling. Extent of heterogeneity between studies was determined with the I(2) test. Results Five studies (975 total patients, and 855 patients with individual patient-level data) were eligible for analysis, with a median follow-up of 8 years. Of the total cohort, 60.9%, 22.6%, and 16.5% of patients were classified by Decipher as low, intermediate, and high risk, respectively. The 10-year cumulative incidence metastases rates were 5.5%, 15.0%, and 26.7% ( P \u3c .001), respectively, for the three risk classifications. Pooling the study-specific Decipher HRs across the five studies resulted in an HR of 1.52 (95% CI, 1.39 to 1.67; I(2) = 0%) per 0.1 unit. In multivariable analysis of individual patient data, adjusting for clinicopathologic variables, Decipher remained a statistically significant predictor of metastasis (HR, 1.30; 95% CI, 1.14 to 1.47; P \u3c .001) per 0.1 unit. The C-index for 10-year distant metastasis of the clinical model alone was 0.76; this increased to 0.81 with inclusion of Decipher. Conclusion The genomic classifier test, Decipher, can independently improve prognostication of patients postprostatectomy, as well as within nearly all clinicopathologic, demographic, and treatment subgroups. Future study of how to best incorporate genomic testing in clinical decision-making and subsequent treatment recommendations is warranted

Fabrication and characterization of anti-microbial and biofouling resistant nanofibers with silver nanoparticles and immobilized enzymes for application in water filtration

Thesis (MSc (Biochemistry))--University of Stellenbosch, 2011.ENGLISH ABSTRACT: Due to a global lack of access to potable water, a problem particularly affecting people in developing countries and the poor, improvement on existing water purification methods are necessary to provide more cost effective, accessible and efficient methods of water purification. In drinking water systems, biofilms are a potential source of contamination, which can affect the biological stability and hygienic safety of water. In industrial water systems, biofilms can cause corrosion, resistance in flow systems and a decrease in efficiency of membranes. Nanotechnology has been identified as a technology to utilize in water purification problem solving. Alternatives to the use of chemical biocides and antibiotics need to be investigated therefore; the focus of this study was the fabrication and characterization of polymer nanofibers containing silver nanoparticles as biocide and anti-biofouling nanofibers with hydrolytic enzymes immobilized on the surface. The aim of this study was to synthesize and compare poly (vinyl alcohol) (PVA) nanofibers and poly (acrylonitrile) (PAN) nanofibers with silver nanoparticles to determine which type of fiber will be the most appropriate for application in water sanitation. The two types of fibers were to be compared based on morphology, silver nanoparticle content, physical distribution of silver nanoparticles, levels of silver leaching from the fibers in water, which could imply toxicity, and most importantly, anti-microbial efficacy. Back scattering electron images revealed that silver nanoparticles in PVA nanofibers were more evenly dispersed than in PAN nanofibers, but that PAN nanofibers had higher silver nanoparticle content. This was confirmed by energy dispersive X-ray (EDX) analysis. Both PVA and PAN nanofibers containing silver nanoparticles had excellent anti-microbial activity, with PVA nanofibers killing between 91% and 99% of bacteria in a contaminated water sample and PAN nanofibers killed 100%. When investigated by SEM, the biocidal effect of PAN nanofibers containing silver nanoparticles can be observed as morphological changes in the cell walls. Neither PVA nor PAN nanofibers leached silver into water. PVA is a non-toxic and biodegradable synthetic polymer, and PVA-silver nanofibers have excellent anti-microbial activity, making it applicable in water sanitation in an environmental conscious milieu. PAN nanofibers are more conductive to the formation of silver nanoparticles, have higher silver nanoparticle content, allowing the complete sanitation of pathogenically contaminated water samples. PAN nanofibers also have better longevity and strength in water, making it ideal for water filtration and sanitation in higher throughput systems. Furthermore, immobilized enzymes are being investigated as possible alternatives to inefficient conventional methods of controlling and removing biofilms from filtration systems. This study demonstrates the covalent immobilization of two industrial proteases and an amylase enzyme onto polymer nanofibers widely used in filtration membranes. Confirmed by FTIR, these nanofibers were successfully activated by amidination, allowing the covalent immobilization of respectively two serine proteases and an α-amylase onto the fibers. When inspected visually, fibers largely retained their original morphology after activation and enzyme immobilization. Immobilized enzymes were, however visible as aggregated particles on the nanofiber surfaces. The large surface area to volume ratio provided by the nanofibers as immobilization surface, allowed sufficient amounts of enzymes to be immobilized onto the fibers so that all enzymes retained above 80% of the specific activity of the free enzymes. For each of the immobilized enzymes, just below 30% of initial activity was retained after 10 repeated cycles of use. Fibers with immobilized enzymes on their surface did not support the growth of biofilms, as opposed to plain nanofibers, which did support the growth of biofilms. When considering the combined advantages of this effective immobilization process, the robustness of the enzymes used in this study, and their effectiveness against biofilms in their immobilized state, a valuable addition has been made to technology available for the control of biofilm formation on filtration membranes, and could potentially be employed to control biofilm formation in water filtration systems. A combination of anti-microbial and anti-biofouling nanofibers into a single nanofiltration product may prove to be highly applicable in water sanitation systems.AFRIKAANSE OPSOMMING: As gevolg van 'n wêreldwye gebrek aan toegang tot drinkbare water, 'n probleem wat veral mense in ontwikkelende lande en armes raak, is dit van belang dat bestaande metodes van watersuiwering verbeter word om voorsiening te maak vir meer koste-effektiewe, toeganklike en doeltreffende metodes van watersuiwering. In drinkwater stelsels is biofilms 'n potensiële bron van besoedeling, wat die biologiese stabiliteit en die higiëniese veiligheid van water beïnvloed. In industriële waterstelsels kan biofilms tot die verwering van pyplyne lei, weerstand in die stroomstelsels veroorsaak en 'n afname in die doeltreffendheid van membrane veroorsaak. Nanotegnologie is geïdentifiseer as 'n tegnologie wat aangewend kan word in watersuiwerings probleemoplossing. Alternatiewe vir die gebruik van chemiese antimikrobiese middels moet dus ondersoek word. Hierdie studie fokus dus op die vervaardiging en karakterisering van polimeer nanovesels met silwer nanopartikels wat ingesluit is as antimikrobiese middel en anti-biofilm vesels met hidrolitiese ensieme geïmmobiliseer op die oppervlak. Die doel van hierdie studie was om poli (viniel alkohol) (PVA) nanovesels en poli (akrielonitriel) (PAN) nanovesels te sintetiseer waarby silwer nanopartikels ingesluit is, en te bepaal watter tipe vesel die mees geskikte sal wees vir die gebruik in water sanitasie. Die twee tipes vesels is met mekaar vergelyk gebaseer op morfologie, silwer nanopartikel inhoud, fisiese verspreiding van silwer nanopartikels, vlakke van silwer uitloging vanuit die vesels in water, wat toksisiteit tot gevolg kan hê, en die belangrikste, antimikrobiese effektiwiteit. Terug verstrooiing elektron beelde het aan die lig gebring dat die silwer nanopartikels in PVA nanovesels meer eweredig versprei was as in PAN nanovesels, maar dat PAN nanovesels 'n hoër silwer nanopartikel inhoud gehad het. Dit is bevestig deur “energy dispersive X-ray” (EDX) analise. Beide PVA en PAN nanovesels met silwer nanopartikels het uitstekende antimikrobiese aktiwiteit getoon, met PVA vesels wat tussen 91% en 99% bakterieë in besoedelde water monsters kon doodmaak en PAN vesels wat 100% bakterieë kon uitwis. Wanneer vesels ondersoek is met ʼn skandeer elektronmikroskoop (SEM), kon die antimikrobiese effek van PAN vesels met silwer nanopartikels as morfologiese veranderinge in die selwande waargeneem word. Nie PVA of PAN nanovesels loog silwer uit in water nie. PVA is 'n nie-toksiese en bioafbreekbare sintetiese polimeer, en PVA-silwer nanovesels het uitstekende antimikrobiese aktiwiteit, wat dit van toepassing maak op water sanitasie in ʼn omgewings bewuste milieu. PAN vesels is meer gunstig tot die vorming van silwer nanopartikels, en het 'n hoër silwer nanopartikel inhoud, dus word patogeen besoedelde water volledig gesteriliseer. PAN vesels het ook 'n beter langslewendheid en weerstandige sterkte in water, wat dit ideaal vir water filtrasie en sanitasie in hoër deursettings stelsels maak. Geïmmobiliseerde ensieme word ook ondersoek as moontlike alternatiewe tot ondoeltreffende konvensionele metodes van beheer en die verwydering van biofilms uit water stelsels. Hierdie studie toon die kovalente immobilisasie van twee industriële proteases en 'n amilase ensiem op polimeer vesels wat gebruik word in filtrasie membrane. Bevestig deur FTIR, is PAN vesels suksesvol geaktiveer deur amidinasie, sodat die kovalente immobilisasie van onderskeidelik twee serien proteases en 'n α-amilase op die vesels moontlik is. Met visuele ondersoek kan gesien word die vesels behou grootliks hul oorspronklike morfologie na aktivering en ensiem immobilisasie. Geïmmobiliseerde ensieme is egter sigbaar as saamgevoegde deeltjies op die nanovesel oppervlaktes. Die groot oppervlakarea: volume-ratio van die vesels wat dien as immobilisasie oppervlak, laat toe dat voldoende hoeveelhede van ensieme geïmmobiliseer word sodat alle ensieme meer as 80% van die spesifieke aktiwiteit van die vrye ensieme behou. Vir elk van die geïmmobiliseer ensieme, is net minder as 30% van die aanvanklike aktiwiteit behou na 10 siklusse van hergebruik. Vesels met geïmmobiliseerde ensieme op hul oppervlaktes het nie die groei van biofilms ondersteun nie, in teenstelling met gewone vesels, sonder ensieme, wat die groei van biofilms ondersteun. As die gesamentlike voordele van hierdie doeltreffende immobilisasie proses, die robuustheid van die ensieme en hulle doeltreffendheid teen biofilms in hul geïmmobiliseerde toestand in ag geneem word, is ʼn waardevolle toevoeging gemaak tot tegnologie wat beskikbaar is vir die beheer van biofilm vorming op filtrasie membrane, en dit kan potensieel gebruik word om biofilm vorming filter stelsels te beheer. Die kombinasie van anti-mikrobiese en anti-biofilm vesels in ʼn enkele nanofiltrasie produk moet nagestreef word, omdat dit hoogs van toepassing sal wees in water sterilisasie stelsels

Managing the academic talent void: Investigating factors in academic turnover and retention in South Africa

Orientation: Globally, the demand for academic staff in higher education is expected to continue to increase. The South African situation is exacerbated by the so-called ‘retirement swell’ and turnover and retention problems; measurements to diagnose these factors remain limited. Research purpose: This study aimed to investigate the factors that influence turnover and retention of academic and to validate the developed talent retention diagnostic tool for use in South African higher education institutions. Motivation for the study: Limited research currently exists on the retention factors of academic staff in the South African context. Research approach, design and method: Using an investigative quantitative research approach, the tool was administered to a convenience sample of academics (n = 153) in 13 higher education institutions. Main findings: The results showed an array of distinguishing turnover and retention factors and proved the tool to be a valid and reliable measure. Over half the respondents indicated slight to strong dissatisfaction with compensation and performance management practices. Significantly, 34% indicated that they considered exiting their academic institution, citing unhappiness about compensation, as the most likely reason, whilst 74.5% have previously looked for another job. Practical/managerial implications: The research highlights key areas (i.e. compensation, emotional recognition, a bonus structure that reflects employee contribution, performance management systems, mentorship and career development opportunities) that higher education should attend to if they want to retain their key and talented academic staff. Contribution/value-add: The results contribute to new knowledge on the factors that contribute to turnover and retention of academic staff and present a valid and reliable measure to assess these retention factors

Community Engagement newsletter, Faculty of Veterinary Spring, September, 2015

Loate CVC : a team affort / Dave Kenyon -- The 2014 Vet Books for Africa journey / Matthew Huckle -- The outside world : Hluvukani / Cameron Paul -- Mamelodi heart / Marguerite du Plessis, photographs by Lindiwe Nkwe.News articles with colour photos about the various community engagement projects of the Faculty of Veterinary Science, University of Pretoria.ab201

Validation of a Genomic Classifier for Predicting Post-Prostatectomy Recurrence in a Community Based Health Care Setting.

PURPOSE: We determined the value of Decipher®, a genomic classifier, to predict prostate cancer outcomes among patients after prostatectomy in a community health care setting. MATERIALS AND METHODS: We examined the experience of 224 men treated with radical prostatectomy from 1997 to 2009 at Kaiser Permanente Northwest, a large prepaid health plan in Portland, Oregon. Study subjects had aggressive prostate cancer with at least 1 of several criteria such as preoperative prostate specific antigen 20 ng/ml or greater, pathological Gleason score 8 or greater, stage pT3 disease or positive surgical margins at prostatectomy. The primary end point was clinical recurrence or metastasis after surgery evaluated using a time dependent c-index. Secondary end points were biochemical recurrence and salvage treatment failure. We compared the performance of Decipher alone to the widely used CAPRA-S (Cancer of the Prostate Risk Assessment Post-Surgical) score, and assessed the independent contributions of Decipher, CAPRA-S and their combination for the prediction of recurrence and treatment failure. RESULTS: Of the 224 patients treated 12 experienced clinical recurrence, 68 had biochemical recurrence and 34 experienced salvage treatment failure. At 10 years after prostatectomy the recurrence rate was 2.6% among patients with low Decipher scores but 13.6% among those with high Decipher scores (p=0.02). When CAPRA-S and Decipher scores were considered together, the discrimination accuracy of the ROC curve was increased by 0.11 compared to the CAPRA-S score alone (combined c-index 0.84 at 10 years after radical prostatectomy) for clinical recurrence. CONCLUSIONS: Decipher improves our ability to predict clinical recurrence in prostate cancer and adds precision to conventional pathological prognostic measures

Impact of Immune and Stromal Infiltration on Outcomes Following Bladder-Sparing Trimodality Therapy for Muscle-Invasive Bladder Cancer.

BACKGROUND Bladder-sparing trimodality therapy (TMT) is an alternative to radical cystectomy (RC) for muscle-invasive bladder cancer (MIBC), and biomarkers to inform therapy selection are needed. OBJECTIVE To evaluate the prognostic value of immune and stromal signatures in MIBC treated with TMT. DESIGN, SETTING, AND PARTICIPANTS We used a clinical-grade platform to perform transcriptome-wide gene expression profiling of primary tumors from 136 MIBC patients treated with TMT at a single institution. We observed 60 overall survival events at 5yr, and median follow-up time for patients without an event was 5.0yr (interquartile range 3.1, 5.0). Expression data from another cohort of 223 MIBC patients treated with neoadjuvant chemotherapy (NAC) and RC were also analyzed. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS Molecular subtype, immune, and stromal signatures were evaluated for associations with disease-specific survival (DSS) and overall survival (OS) in TMT patients, and in patients treated with NAC and RC. RESULTS AND LIMITATIONS Gene expression profiling of TMT cases identified luminal (N=40), luminal-infiltrated (N=26), basal (N=54), and claudin-low (N=16) subtypes. Signatures of T-cell activation and interferon gamma signaling were associated with improved DSS in the TMT cohort (hazard ratio 0.30 [0.14-0.65], p=0.002 for T cells), but not in the NAC and RC cohort. Conversely, a stromal signature was associated with worse DSS in the NAC and RC cohort (p=0.006), but not in the TMT cohort. This study is limited by its retrospective nature. CONCLUSIONS Higher immune infiltration in MIBC is associated with improved DSS after TMT, whereas higher stromal infiltration is associated with shorter DSS after NAC and RC. Additional studies should be conducted to determine whether gene expression profiling can predict treatment response. PATIENT SUMMARY We used gene expression profiling to study the association between tumor microenvironment and outcomes following bladder preservation therapy for invasive bladder cancer. We found that outcomes varied with immune and stromal signatures within the tumor. We conclude that gene expression profiling has potential to guide treatment decisions in bladder cancer

Utilization of a Genomic Classifier for Prediction of Metastasis Following Salvage Radiation Therapy after Radical Prostatectomy.

BACKGROUND: Despite salvage radiation therapy (SRT) for recurrent prostate cancer (PCa) after radical prostatectomy (RP), some patients still progress to metastases. Identifying these men would allow them to undergo systemic therapy including testing novel therapies to reduce metastases risk. OBJECTIVE: To test whether the genomic classifier (GC) predicts development of metastatic disease. DESIGN, SETTING, AND PARTICIPANTS: Retrospective multi-center and multi-ethnic cohort study from two academic centers and one Veterans Affairs Medical Center in the United States involving 170 men receiving SRT for recurrent PCa post-RP. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Time from SRT to development of metastatic disease tested using Cox regression, survival c-index, and decision curve analysis. Performance of GC was compared to the Cancer of the Prostate Risk Assessment Score and Briganti risk models based on these metrics. RESULTS AND LIMITATIONS: With a median 5.7 yr follow-up after SRT, 20 patients (12%) developed metastases. On multivariable analysis, for each 0.1 unit increase in GC (scaled from 0 to 1), the hazard ratio for metastasis was 1.58 (95% confidence interval 1.16-2.17; p=0.002). Adjusting for androgen deprivation therapy did not materially change the results. The c-index for GC was 0.85 (95% confidence interval 0.73-0.88) versus 0.63-0.65 for published clinico-pathologic risk models. The 5-yr cumulative incidence of metastasis post-SRT in patients with low, intermediate, and high GC scores was 2.7%, 8.4%, and 33.1%, respectively (p\u3c0.001). CONCLUSIONS: While validation in larger, prospectively collected cohorts is required, these data suggest GC is a strong predictor of metastases among men receiving SRT for recurrent PCa post-RP, accurately identifying men who are excellent candidates for systemic therapy due to their very high-risk of metastases. PATIENT SUMMARY: Genomic classifier and two clinico-pathologic risk models were evaluated on their ability to predict metastases among men receiving salvage radiation therapy for recurrent prostate cancer. Genomic classifier was able to identify candidates for further therapies due to their very high-risk of metastases