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To synthesise evidence from studies that explored the impact of electronic and self-rostering systems to schedule staff on healthcare organisations and healthcare workers.
Mixed-method systematic review.
Studies were screened by two independent reviewers and data were extracted using standardised data extraction tables. The quality of studies was assessed, and parallel-results convergent synthesis was conducted.
Academic Search Complete, CINAHL, ERIC, MEDLINE, PsycINFO and PsycARTICLES were searched on January 3, 2023.
Eighteen studies were included (10 quantitative descriptive studies, seven non-randomised studies and one qualitative study). Studies examined two rostering interventions including self-rostering (n = 12) and electronic rostering (n = 6). It was found that the implementation of electronic and self-rostering systems for staff scheduling impacted positively on both, healthcare workers and healthcare organisations. Benefits included enhanced roster efficiency, staff satisfaction, greater control and empowerment, improved work-life balance, higher staff retention and reduced turnover, decreased absence rates and enhanced healthcare efficiency. However, self-rostering was found to be less equitable than fixed rostering, was associated with increased overtime, and correlated with a higher frequency of staff requests for shift changes.
The impact of electronic and self-rostering systems to schedule staff on healthcare organisations and healthcare workers’ outcomes was predominantly positive. Further randomised controlled trials and longitudinal studies are warranted to evaluate the long-term impact of various rostering systems, including electronic and self-rostering systems.
Rostering is a multifaceted responsibility for healthcare administrators, impacting patient care quality, workforce planning and healthcare expenditure.
Given that healthcare staffing costs constitute a substantial portion of global healthcare expenditure, efficient and strategic resource management, inclusive of healthcare staff rostering, is imperative.
The 27-item Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) checklist.
No Patient or Public Contribution.
by Mohamad Awada, Burcin Becerik Gerber, Gale M. Lucas, Shawn C. Roll
Previous studies have primarily focused on predicting stress arousal, encompassing physiological, behavioral, and psychological responses to stressors, while neglecting the examination of stress appraisal. Stress appraisal involves the cognitive evaluation of a situation as stressful or non-stressful, and as a threat/pressure or a challenge/opportunity. In this study, we investigated several research questions related to the association between states of stress appraisal (i.e., boredom, eustress, coexisting eustress-distress, distress) and various factors such as stress levels, mood, productivity, physiological and behavioral responses, as well as the most effective ML algorithms and data signals for predicting stress appraisal. The results support the Yerkes-Dodson law, showing that a moderate stress level is associated with increased productivity and positive mood, while low and high levels of stress are related to decreased productivity and negative mood, with distress overpowering eustress when they coexist. Changes in stress appraisal relative to physiological and behavioral features were examined through the lenses of stress arousal, activity engagement, and performance. An XGBOOST model achieved the best prediction accuracies of stress appraisal, reaching 82.78% when combining physiological and behavioral features and 79.55% using only the physiological dataset. The small accuracy difference of 3% indicates that physiological data alone may be adequate to accurately predict stress appraisal, and the feature importance results identified electrodermal activity, skin temperature, and blood volume pulse as the most useful physiologic features. Implementing these models within work environments can serve as a foundation for designing workplace policies, practices, and stress management strategies that prioritize the promotion of eustress while reducing distress and boredom. Such efforts can foster a supportive work environment to enhance employee well-being and productivity.by Hanem M. M. Mansour, Mohamed G. Shehata, Eman M. Abdo, Mona Mohamad Sharaf, El-sayed E. Hafez, Amira M. Galal Darwish
Nanotechnology applications have been employed to improve the stability of bioactive components and drug delivery. Natural-based extracts, especially olive leaf extracts, have been associated with the green economy not only as recycled agri-waste but also in the prevention and treatment of various non-communicable diseases (NCDs). The aim of this work was to provide a comparison between the characteristics, biological activity, and gene expression of water extract of olive leaves (OLE), green synthesized OLE silver nanoparticles (OL/Ag-NPs), and OLE whey protein capsules (OL/WPNs) of the two olive varieties, Tofahy and Shemlali. The particles were characterized by dynamic light scattering, scanning electron microscope (SEM), and Fourier transform infrared. The bioactive compounds of the preparations were evaluated for their antioxidant activity and anticancer effect on HCT-116 colorectal cells as well as for their regulatory effects on cytochrome C oxidase (Cox1) and tumor necrosis factor α (TNF-α) genes. (OL/Ag-NPs) were found to be smaller than (OL/WPNs) with sizes of (37.46±1.85 and 44.86±1.62 nm) and (227.20±2.43 and 553.02±3.60 nm) for Tofahy and Shemlali, respectively. SEM showed that Shemlali (OL/Ag-NPs) had the least aggregation due to their highest Ƹ-potential (-31.76 ± 0.87 mV). The preparations were relatively nontoxic to Vero cells (IC50 = 151.94–789.25 μg/mL), while they were cytotoxic to HCT-116 colorectal cells (IC50 = 77.54–320.64 μg/mL). Shemlali and Tofahy OLE and Tofahy OL/Ag-NPs had a higher selectivity index (2.97–7.08 μg/mL) than doxorubicin (2.36 μg/mL), indicating promising anticancer activity. Moreover, Shemlali preparations regulated the expression of Cox1 (up-regulation) and TNF-α (down-regulation) on HCT-116 cells, revealing their efficiency in suppressing the expression of genes that promote cancer cell proliferation. (OL/Ag-NPs) from Tofahy and Shemlali were found to be more stable, effective, and safe than (OL/WPNs). Consequently, OL/Ag-NPs, especially Tofahy, are the best and safest nanoscale particles that can be safely used in food and pharmaceutical applications.by Lida Shams, Tahere Darvish, Mohamad Meskarpour Amiri, Sayyed-Morteza Hosseini-Shokouh, Taha Nasiri
IntroductionAccess to healthcare for persons with disabilities (PWDs) is an important but often ignored issue for achieving universal health coverage. The current study aimed to investigate PWDs’ access to healthcare in the rural areas in north of Iran.
MethodsFollowing a descriptive-analytical design, 471 persons with disabilities (PWDs) living in the Nor city, Mazandaran province, were selected using quota sampling. Data were collected by a valid and reliable questionnaire that contained dimensions of time, geography, physical, and acceptability using face-to-face interviews. The findings are provided by central and dispersion indicators and analyses are performed with linear Regression using SPSS version 17.
ResultsPWDs had moderate access to healthcare services in all dimensions. The regression models for access to health services in all four dimensions were significant (p Conclusion
A small percentage of PWDs had high access to health services. Hence, improving their access to healthcare services, particularly in rural and less developed areas, and developing appropriate policies should be the focus of Iranian policy-makers.
Fifty per cent of patients with cancer require radiotherapy during their disease course, however, only 10%–40% of patients in low-income and middle-income countries (LMICs) have access to it. A shortfall in specialised workforce has been identified as the most significant barrier to expanding radiotherapy capacity. Artificial intelligence (AI)-based software has been developed to automate both the delineation of anatomical target structures and the definition of the position, size and shape of the radiation beams. Proposed advantages include improved treatment accuracy, as well as a reduction in the time (from weeks to minutes) and human resources needed to deliver radiotherapy.
ARCHERY is a non-randomised prospective study to evaluate the quality and economic impact of AI-based automated radiotherapy treatment planning for cervical, head and neck, and prostate cancers, which are endemic in LMICs, and for which radiotherapy is the primary curative treatment modality. The sample size of 990 patients (330 for each cancer type) has been calculated based on an estimated 95% treatment plan acceptability rate. Time and cost savings will be analysed as secondary outcome measures using the time-driven activity-based costing model. The 48-month study will take place in six public sector cancer hospitals in India (n=2), Jordan (n=1), Malaysia (n=1) and South Africa (n=2) to support implementation of the software in LMICs.
The study has received ethical approval from University College London (UCL) and each of the six study sites. If the study objectives are met, the AI-based software will be offered as a not-for-profit web service to public sector state hospitals in LMICs to support expansion of high quality radiotherapy capacity, improving access to and affordability of this key modality of cancer cure and control. Public and policy engagement plans will involve patients as key partners.
by Nora Tabea Sibert, Tobias Kurth, Clara Breidenbach, Simone Wesselmann, Günther Feick, Ernst-Günter Carl, Sebastian Dieng, Mohamad Hatem Albarghouth, Atiqullah Aziz, Stefan Baltes, Elisabeth Bartolf, Jens Bedke, Andreas Blana, Marko Brock, Stefan Conrad, Christopher Darr, Florian Distler, Konstantinos Drosos, Gregor Duwe, Amr Gaber, Markus Giessing, Nina Natascha Harke, Axel Heidenreich, Sameh Hijazi, Andreas Hinkel, Björn Theodor Kaftan, Shatlyk Kheiderov, Thomas Knoll, Gerd Lümmen, Inga Peters, Bülent Polat, Valentin Schrodi, Jens-Uwe Stolzenburg, Zoltan Varga, Julius von Süßkind-Schwendi, Vahudin Zugor, Christoph Kowalski
BackgroundIncontinence and sexual dysfunction are long-lasting side effects after surgical treatment (radical prostatectomy, RP) of prostate cancer (PC). For an informed treatment decision, physicians and patients should discuss expected impairments. Therefore, this paper firstly aims to develop and validate prognostic models that predict incontinence and sexual function of PC patients one year after RP and secondly to provide an online decision making tool.
MethodsObservational cohorts of PC patients treated between July 2016 and March 2021 in Germany were used. Models to predict functional outcomes one year after RP measured by the EPIC-26 questionnaire were developed using lasso regression, 80–20 splitting of the data set and 10-fold cross validation. To assess performance, R2, RMSE, analysis of residuals and calibration-in-the-large were applied. Final models were externally temporally validated. Additionally, percentages of functional impairment (pad use for incontinence and firmness of erection for sexual score) per score decile were calculated to be used together with the prediction models.
ResultsFor model development and internal as well as external validation, samples of 11 355 and 8 809 patients were analysed. Results from the internal validation (incontinence: R2 = 0.12, RMSE = 25.40, sexual function: R2 = 0.23, RMSE = 21.44) were comparable with those of the external validation. Residual analysis and calibration-in-the-large showed good results. The prediction tool is freely accessible: https://nora-tabea.shinyapps.io/EPIC-26-Prediction/.
ConclusionThe final models showed appropriate predictive properties and can be used together with the calculated risks for specific functional impairments. Main strengths are the large study sample (> 20 000) and the inclusion of an external validation. The models incorporate meaningful and clinically available predictors ensuring an easy implementation. All predictions are displayed together with risks of frequent impairments such as pad use or erectile dysfunction such that the developed online tool provides a detailed and informative overview for clinicians as well as patients.
by Mohamad Mobasher Amini, Soheila Mirzaei, Ahmad Heidari
Effective management of fungicide application programs requires monitoring the profile of resistant populations of Botrytis cinerea, given its high-risk nature. This research aimed to examine the sensitivity of 200 B. cinerea isolates collected from different plant species and regions across Iran towards thiophanate-methyl and carbendazim fungicides. To distinguish between susceptible and resistant isolates, the discriminatory dose assay was employed, followed by the selection of representative isolates from each group for EC50 analysis. To identify potential modifications in codon 198 of the β-tubulin gene in B. cinerea resistant isolates, the researchers employed the PCR-RFLP diagnostic method. More than two-thirds of the isolates exhibited a varying degree of resistance to MBC fungicides, even in farms where the application of these fungicides had not taken place in recent years. After treatment with the BsaI enzyme, the PCR product of sensitive isolates displayed two bands measuring 98 and 371 bp, while only one band of 469 bp was identified in resistant isolates. The study also evaluated whether resistance to fungicides could affect the pathogenicity and mycelial growth of the isolates. The findings showed no significant difference between the resistant and sensitive groups in terms of these factors, indicating that resistance does not come at a cost to the pathogen’s fitness. Considering the high incidence of resistance and the absence of negative consequences on fitness, it is recommended to exercise caution in the employment of benzimidazole fungicides as part of B. cinerea management strategies.
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