Health services should collect feedback from inpatients at the point of service: opinions from patients and staff in acute and subacute facilities

OBJECTIVE: Point of service feedback (POSF) enables patients to give health services feedback about their experiences during or immediately after care. Despite the increasing use of POSF, little is known regarding patients' and staffs' opinions of this practice and whether they consider it acceptable or useful. The study aimed to determine patient and staff opinions regarding POSF. DESIGN: A cross-sectional survey. SETTING: Acute and subacute healthcare facilities. PARTICIPANTS: Two hundred and forty-seven patients and 221 staff. RESULTS: Participants indicated that patients should be invited to evaluate health services when they are in hospital or subacute care and improving services was the most important reason for doing so. Staff indicated that:• collecting patients' feedback during their stay was an important part of providing care and not an interruption to it (n = 187 of 221, 85%).• collecting patients' feedback was best done with a variety of methods; talking directly with patients during their stay was the preferred option (n = 161 of 219, 74%).More patients preferred to:• give feedback during their stay (51%) than after discharge from care (15%).• give feedback by talking with someone (45%) than completing a questionnaire (31%).Some patients (14%) were concerned about reprisal from staff if they gave negative feedback. CONCLUSIONS: POSF can be acceptable and useful for evaluating health services and should be incorporated into a person-centred approach that allows patients to choose from a variety of feedback options both during and after their stay. To be most useful, feedback should be incorporated into a quality improvement system.

Role of energy storage in the power system network

Today’s power system network is more complex with enhanced responsibility to maintain reliable, stable and quality supply of power at transmission and distribution level. Maintaining grid balance is a bigger issue, in case of any unexpected generation shortage or grid disturbance or any participation of an intermittent nature of renewable energy sources like wind and solar power in the energy mix. In order to compensate such imbalance and improve reliability, and stability of power system, an energy storage system (ESS) can be considered as a vital solution. Also ESS can be used to mitigate associated issues of renewable energy sources while integration into the power system network. Thus ESS supports to get a reduction in greenhouse gas (GHG) emissions by means of integrating more renewable energy sources to the grid effectively. There are various types of Energy Storage (ES) technologies which are being used in power systems network for large scale (MW) to small scale (KW) level. Based on the type and characteristics, each storage technology is suitable for a particular role of applications. This paper presents an extensive review study on various types of ES technologies in characteristics and applications point of view. It also demonstrates various applications of ESS in detail. Finally, with the aid of ES-selectTM tool software, a feasibility analysis has been carried out to identify a suitable ES technology for appropriate applications at different grid locations and also helps to develop a smart hybrid storage system for grid applications in future.

A hybrid simulated annealing and perturb and observe method for maximum power point tracking in PV systems under partial shading conditions

This paper presents a hybrid method for Maximum Power Point Tracking (MPPT) of a Photovoltaic (PV) system which experiences non-uniform environmental conditions or partial shading conditions. The hybrid method combines two simple techniques with complementary strengths in achieving Global MPPT. Simulated Annealing (SA) has only recently been applied to PV MPPT and is very effective at locating global maxima with limited implementation complexity. Perturb and Observe (P&O) is a very common technique which provides continuous tracking of the MPP in a simple and easy to implement manner. The P&O method is generally incapable of locating global maxima, and the SA based method is unable to perform continuous searching. By merging these techniques in a hybrid MPPT method consisting of a global searching stage and a local searching stage, the tracking performance is improved compared to what each technique could achieve independently. Simulation results are presented to demonstrate the effectiveness of the proposed hybrid technique.

Control and charge management of a grid-connected photovoltaic system with plug-in hybrid vehicle as energy storage

This paper presents the control and charge management strategy of a photovoltaic system (PV) with plug-in hybrid electric vehicle (PHEV) as energy storage. The hybrid energy storage system (HESS) of PHEV consists of battery and supercapacitor. A simulation model for the PV system with PHEV energy storage has been developed using Matlab/SimpowerSystems. The system consists of PV arrays, SEPIC dc-dc converter with maximum power point tracking (MPPT), hybrid battery-supercapacitor energy storage with bidirectional dc-dc converter and inverter for grid connection. A charge management algorithm for the hybrid energy storage system is proposed to control the power flows among the PV system, energy storage and the grid. Results show that the proposed power management algorithm can control the power flows in an efficient manner.

Identifying the characteristics of child sexual abuse cases that exit the criminal justice system before the forensic interview

Most child sexual abuse cases do not result in conviction; rather, they result in attrition at an earlier point in the system. Although research has looked at case characteristics associated with attrition at later stages of the system (i.e. the laying of charges and prosecution stages), to date, no research has studied the case characteristics associated with attrition as soon as a report has been made to authorities. The aim of this study was to determine the case characteristics (child complainant, suspect and additional case characteristics) associated with attrition when a case first enters the criminal justice system before a forensic interview is conducted. All child sexual abuse incidents reported to police in one jurisdiction of Australia in 2011 were examined. Three case characteristics were found to predict attrition: previous disclosure, abuse frequency and the child complainant’s age. Specifically, cases were more likely to result in attrition when the child had not previously disclosed the abuse to an adult, the abuse was a single incident rather than repeated, and a curvilinear relationship was found for child age. Cases involving children aged 7–12 years were less likely to result in attrition than cases involving younger (0–6 years) and older (13–15 years) children. This information should assist professionals and researchers in developing interventions to reduce the attrition when necessary during this early stage of the criminal justice system.

A simulated annealing global maximum power point tracking approach for PV modules under partial shading conditions

This paper proposes a simulated annealing (SA)-based global maximum power point tracking (GMPPT) technique designed for photovoltaic (PV) systems which experience partial shading conditions (PSC). The proposed technique is compared with the common perturb and observe MPPT technique and the particle swarm optimization method for GMPPT. The performance is assessed by considering the time taken to converge and the number of sample cases where the technique converges to the GMPP. Simulation results indicate the improved performance of the SA-based GMPPT algorithm, with arbitrarily selected parameters, in tracking to the global maxima in a multiple module PV system which experiences PSC. Experimental validation of the technique is presented based on PV modules that experience nonuniform environmental conditions. Additionally, studies regarding the influence of the key parameters of the SA-based algorithm are described. Simulation and experimental results verify the effectiveness of the proposed GMPPT method.

Maximum power point tracking methods for PV systems

Maximum power point tracking (MPPT) is an important consideration in photovoltaic (PV) systems. These systems exhibit variable nonlinear current–voltage (I–V) and power–voltage (P–V) characteristics which vary with environmental conditions. The optimum operation of a PV system occurs when the system operates at the unique maximum power point (MPP) for the given environmental conditions. Key environmental conditions include the irradiance on the cell, temperature of the cell and any shading phenomenon. Shading can occur due to objects, dust or dirt and module mismatch arising from damage or manufacturing tolerances. These shading effects introduce further nonlinearity into the I–V and P–V characteristics of the system. An extensive variety of MPPT techniques has been proposed which vary from simple estimation techniques to advanced tracking techniques. In this chapter, the criteria for assessing the performance of MPPT methods are defined followed by a complete description and discussion of both techniques designed for uniform environmental conditions and those designed for nonuniform environmental conditions.