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Radiotherapy relies on the delivery of radiation to cancer cells with millimetre accuracy, and immobilisation of patients is essential to minimise unwanted damage to surrounding healthy cells due to patient movement. Traditional thermoformed face masks can be uncomfortable and stressful for patients and may not be accurately fitted. The purpose of this study was to use 3D scanning and additive manufacturing to digitise this workflow and improve patient comfort and treatment outcomes.

The head of a volunteer was scanned using an Artec Leo optical scanner (Artec, Luxembourg) and ANSYS (Ansys, Canonsburg, USA) software was used to make two 3D models of the mask: one with a nose bridge and one open as would be used with optical surface guidance. Data based on measurements from ten pressure sensors around the face was used to perform topology optimisation, with the best designs 3D printed using fused deposition modelling (FDM) and tested on the volunteer with embedded pressure sensors.

The two facemasks proved to be significantly different in terms of restricting head movement inside the masks. The optimised mask with a nose bridge effectively restricted head movement in roll and yaw orientations and exhibited minimal deformation as compared to the open mask design and the thermoformed mask.

The proposed workflow allows customisation of masks for radiotherapy immobilisation using additive manufacturing and topology optimisation based on collected pressure sensor data. In the future, sensors could be embedded in masks to provide real-time feedback to clinicians during treatment.

The purpose of this paper is to look at how water management reflects patriarchal considerations or gender biases that inflict a penalty upon Mexican women and enumerates recommendations that can both ameliorate water management across Mexico.

Peer-reviewed scholarly materials, carefully vetted for empirical worth, for the clarity and soundness of their research methodologies, and for their capacity to account for confounding or complicating factors, are reviewed. Special attention is given to studies, found in academic databases such as EBSCOHost, conducted in the years 2013–2018.

The Mexican state has finally made some progress in recognizing the hurdles women face in attaining educational equality, but there is not yet the universal application and comity that would ensure appropriate levels of representation in all communities. Mexico will have to do more to compel local actors to give greater credence to the voices of women.

There is a need for further primary research to more comprehensively capture what actions women are taking to carve out a large policy-making space for themselves in a country that has only quite recently begun to realize the contributions women can make to forward-looking water governance policy.

The uneasy confluence between water governance and gender within the Mexican context is an area of growing concern to those interested in how water management systems and protocols shape broader social justice and equality developments across Mexico.

Length of stay (LOS) in hospital after surgery varies for each patient depending on surgeon’s decision that considers criticality of the surgery, patient’s conditions before and after surgery, expected time to recovery and experience of the surgeon involved. Decision on patients’ LOS at hospital post-surgery affects overall healthcare performance as it affects both cost and quality of care. The purpose of this paper is to develop a model for deriving the most appropriate LOS after surgical interventions.

The study adopts an action research involving multiple stakeholders (surgeon, patients/patients’ relatives, hospital management and other medics). First, a conceptual model is developed using literature and experts’ opinion. Second, the model is applied in three surgical interventions in a public hospital in Malta to demonstrate the effectiveness of the model. Third, the policy alternatives developed are compared to a selection of current international standards for each surgical intervention. The proposed model analyses three LOS threshold policies for three procedures using efficiency and responsiveness criteria. The entire analysis is carried out using 325 randomly selected patient files along with structured interactions with more than 50 stakeholders (surgeon, patients/patients’ relatives, hospital management and other medics). A multiple criteria decision-making method is deployed for model building and data analysis. The method involves combining the analytic hierarchy process (AHP) for verbal subjective judgements on prioritizing the four predictors of surgical LOS—medical, financial, social and risk, with pairwise comparisons of the sub-criteria under each criterion in line with the concerned interventions—the objective data of which are obtained from the patients’ files.

The proposed model was successfully applied to decide on the best policy alternative for LOS for the three interventions. The best policy alternatives compared well to current international benchmarks.

The proposed method needs to be tested for other interventions across various healthcare settings.

Multi-criteria decision-making tools enable resource optimization and overall improvement of patient care through the application of a scientific management technique that involves all relevant stakeholders while utilizing both subjective judgements as well as objective data.

Traditionally, the duration of post-surgery LOS is mainly based on the surgeons’ clinical but also arbitrary decisions, with, as a result, having insufficiently explicable variations in LOS amongst peers for similar interventions. According to the authors’ knowledge, this is the first attempt to derive post-surgery LOS using the AHP, a multiple criteria decision-making method.