34 research outputs found

    The necessity of tailored control of irrupting pest populations driven by pulsed resources

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    Resource pulses are widespread phenomena in diverse ecosystems. Irruptions of generalist consumers and corresponding generalist predators often follow such resource pulses. This can have severe implications on the ecosystem and also on the spread of diseases or on regional famines. Suitable management strategies are necessary to deal with these systems. In this study, we develop a general model to investigate optimal control for such a system and apply this to a case study from New Zealand. In particular, we consider the dynamics of beech masting (episodic synchronous seed production) leading to rodent outbreaks and subsequent stoat (Mustela erminea) irruptions. Here, stoat control happens via secondary poisoning. The results show that the main driver of the optimal control timing (June) is the population density of the control vector. Intermediate control levels are superior to higher levels if the generalist consumer is necessary as a control vector. Finally, we extend the model to a two-patch metapopulation model, which indicates that, as a consequence of the strong vector dependence, a strategy of alternating control patches yields better results than static control. This highlights that besides control level, also the design impacts the control success. The results presented in this study reveal important insights for proper pest management in the New Zealand case study. However, they also generally indicate the necessity of tailored control in such systems

    Optimal control of irrupting pest populations in a climate-driven ecosystem

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    Irruptions of small consumer populations, driven by pulsed resources, can lead to adverse effects including the decline of indigenous species or increased disease spread. Broad-scale pest management to combat such effects benefits from forecasting of irruptions and an assessment of the optimal control conditions for minimising consumer abundance. We use a climate-based consumer-resource model to predict irruptions of a pest species (Mus musculus) population in response to masting (episodic synchronous seed production) and extend this model to account for broad-scale pest control of mice using toxic bait. The extended model is used to forecast the magnitude and frequency of pest irruptions under low, moderate and high control levels, and for different timings of control operations. In particular, we assess the optimal control timing required to minimise the frequency with which pests reach ‘plague’ levels, whilst avoiding excessive toxin use. Model predictions suggest the optimal timing for mouse control in beech forest, with respect to minimising plague time, is mid-September. Of the control regimes considered, a seedfall driven biannual-biennial regime gave the greatest reduction in plague time and plague years for low and moderate control levels. Although inspired by a model validated using house mouse populations in New Zealand forests, our modelling approach is easily adapted for application to other climate-driven systems where broad-scale control is conducted on irrupting pest populations

    Optimal control of irrupting pest populations in a climate‐driven ecosystem

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    Irruptions of small consumer populations, driven by pulsed resources, can lead to adverse effects including the decline of indigenous species or increased disease spread. Broadscale pest management to combat such effects benefits from forecasting of irruptions and an assessment of the optimal control conditions for minimising consumer abundance. We use a climate-based consumer-resource model to predict irruptions of a pest species (Mus musculus) population in response to masting (episodic synchronous seed production) and extend this model to account for broad-scale pest control of mice using toxic bait. The extended model is used to forecast the magnitude and frequency of pest irruptions under low, moderate and high control levels, and for different timings of control operations. In particular, we assess the optimal control timing required to minimise the frequency with which pests reach ‘plague’ levels, whilst avoiding excessive toxin use. Model predictions suggest the optimal timing for mouse control in beech forest, with respect to minimising plague time, is mid-September. Of the control regimes considered, a seedfall driven biannual-biennial regime gave the greatest reduction in plague time and plague years for low and moderate control levels. Although inspired by a model validated using house mouse populations in New Zealand forests, our modelling approach is easily adapted for application to other climate-driven systems where broad-scale control is conducted on irrupting pest populations

    Incidence, nature and causes of medication errors in hospitalised patients in Middle Eastern countries: a systematic review protocol.

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    The review will consider studies, which focus on errors in hospitalised patients (of any age or speciality) in any of the countries of the Middle East. Studies of hospital practitioners (or other key stakeholders) which capture data on causes of errors will also be included. Quantitative outcomes are related to each of the review questions as follows: the incidence of medication errors and incidence of classifications of prescribing, administration and dispensing errors; the nature (e.g. classification, severity, patient outcomes) of errors; causes and contributory factors leading to errors

    Perspectives of healthcare professionals in Qatar on causes of medication errors : A mixed methods study of safety culture

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    This publication was made possible by NPRP grant NPRP 7-388-3-095 from Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.Peer reviewedPublisher PD

    Views and experiences of decision-makers on organisational safety culture and medication errors

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    ACKNOWLEDGEMENTS The authors wish to acknowledge the contributions of all interviewees, as well as support departments at Hamad Medical Corporation, Doha, Qatar. This work was supported by NPRP grant NPRP 7‐388‐3‐095 from Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.Peer reviewedPublisher PD

    Medication errors in hospitals in the Middle East : a systematic review of prevalence, nature, severity and contributory factors

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    Acknowledgements Open Access funding provided by the Qatar National Library. The authors would like to acknowledge the contribution of Doua Al Saad to quality assessment. Funding This systematic review was undertaken as part of the selffunded PhD at Robert Gordon University, UK.Peer reviewedPublisher PD

    Exploring Medication Error Causality and Reporting: A Cross Sectional Survey of Hamad Medical Corporation Health Professionals

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    Introduction: Medication errors are a major global issue, adversely impacting patient safety and health outcomes. Promoting patient safety through minimizing medication errors is therefore a key global healthcare objective. The most widely used and accepted definition of the term 'medication error' is that of the United States (US) National Coordinating Council for Medication Error Reporting and Prevention (NCCMERP), which defines 'medication error' as 'any preventable event that may cause or lead to inappropriate medication use or patient harm while the medication is in control of the health care professional, patient or consumer'.1 This definition has been adopted by Hamad Medical Corporation (HMC). Medication error reporting within HMC is policy driven and has migrated from paper-based to computer-based system. The Performance and Monitoring Department within HMC data highlights the scale of medication errors, with 19,498 errors reported between January 2012 and September 2013. A wide variation in reporting rates was observed among different hospitals (NCCCR 897, Heart Hospital 1046, Hamad General Hospital 1516, Women's Hospital 3041, Al-Khor Hospital 3842, Rumailah Hospital 9156). Alsulami et al. recently reported the findings of the first systematic review of the literature on medication errors in Middle Eastern countries, highlighting that studies were relatively few in number and of poor quality, voicing the need for original, robust research.2 QNRF has provided funding for a two year research study which aims to explore medication error causality and reporting in HMC from the perspectives of health professionals and other key stakeholders. The data presented in this abstract represents the first phase, the aim of which is to quantify the views and attitudes of health professionals. Method: Design - a web based cross-sectional survey of all health professionals (doctors, nurses and pharmacists) working in HMC hospitals. Questionnaire development, validation and piloting - questionnaire items were derived from Reason's Model of Accident Causation and Harm Error,3 the theoretical domains framework of behavioural change,4 and the 'Hospital Survey on Patient Survey'.5 The questionnaire was reviewed for face and content validity by a panel of experts in the United Kingdom and Qatar. This was followed by piloting in a sample of 100 HMC health professionals and test-retest reliability for all attitudinal items (all highly reliable, Kappa statistics, all p < 0.05). Questionnaire distribution - all health professionals in HMC were invited to complete the web based questionnaire. The study commenced at the end of October 2015 and will be data collection will continue until the end of January 2016. Data collected to 12 November 2015 are presented in the abstract and full study data will be presented at the conference. Ethics - the study was approved by HMC ethics committee and the ethics committees of Qatar University and Robert Gordon University (United Kingdom). Results: To date, 767 responses have been received from 522 nurses (68.1%), 143 pharmacists (18.6%) and 102 doctors (13.3%). More than two thirds (69.4%) of respondents had been registered as health professionals for 10 years or less and most (83.8%) had direct patient contact. In terms of their involvement with medicines related processes, 14.1% were involved in prescribing, 30.1% in medicines preparation and dispensing, 55.4% in administering medicines and 45.0% in monitoring the effectiveness and toxicity of medicines. Responses to key statements from the 'Hospital Survey on Patient Survey' are given in Table 1 and responses to key statements on medication error reporting in Table 2. While there were positive responses in terms of the efforts to promote patient safety and knowing how to submit a medication error report, there were less positive responses around staff pressures, patient and information transfers and the perceived consequences of submitting a medication error report. Notably there were concerns around the lack of feedback following submitting a medication error report, fears of reprimands and potential impact on career progression. Conclusion: These preliminary data indicate that there are issues which may compromise patient safety and the effectiveness and efficiency of the medication error reporting system within HMC. While these data are specific to HMC it is likely that they are generalizable to other settings in the Middle East and beyond. Full study data will be analysed in due course and will inform the next stages of the research programme. These stages comprise focus groups of samples of questionnaire respondents to discuss further the issues raised, followed by one to one interviews with key policy makers, health professional leaders, and educators. Full study data will facilitate the development of interventions to reduce medication errors, increase the effectiveness and efficiency of the medication error reporting processes and ultimately enhanced patient safety.qscienc
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