Managing pain medications in long-term care: nurses' views

The purpose of this study was to explore nurses' perceptions of their current practices related to administering pain medications to long-term care (LTC) residents. A cross-sectional survey design was used, including both quantitative and open-ended questions. Data were collected from 165 nurses (59% response rate) at nine LTC homes in southern Ontario, Canada. The majority (85%) felt that the medication administration system was adequate to help them manage residents' pain and 98% felt comfortable administering narcotics. In deciding to administer a narcotic, nurses were influenced by pain assessments, physician orders, diagnosis, past history, effectiveness of non-narcotics and fear of making dosage miscalculations or developing addictions. Finally, most nurses stated that they trusted the physicians and pharmacists to ensure orders were safe. These findings highlight nurses' perceptions of managing pain medications in LTC and related areas where continuing education initiatives for nurses are needed.

Experience of Managing Head and Neck Cancer Patients Amongst Specialty Trainees in Restorative Dentistry

Background: Upon completion of Specialty Training in Restorative Dentistry, trainees (StRs) should
be proficient in maxillofacial prosthodontics to meet the restorative needs of head and neck cancer patients (HANC), and in preparation for the Intercollegiate Specialty Fellowship Examination (ISFE).1,2
Objective: The aim of this study is to collate and compare data relating to the training of Restorative Dentistry Rs in the management of HANC patients across different geographical locations within the British Isles. Methods: Current trainees were invited to complete an online questionnaire by the Specialty Registrars in Restorative Dentistry Group (SRRDG). Participants were asked to rate their confidence and experience in assessing and planning treatment for HANC patients, attending theatre and manufacturing surgical obturators, and in providing implants for appropriate cases. Respondents were also asked to appraise clinical and didactic teaching within their unit, and to rate their confidence of passing oncology- based questions in a future ISFE. Results: Responses were obtained from 21 StRs (n=21) training in all five countries within the British Isles. Most respondents were based in England (76%). A third were in their 5th year of training. Less than half reported that they were confident
of independently assessing (48%) or treatment planning (38%) HANC patients. More than half of StRs (52%) indicated that they were not confident of attending theatres alone and manufacturing a surgical obturator. One third (33%) rated their experience of treating oncology patients with implants as poor or very poor, including three in their 5th year of training. Less than one third rated didactic teaching in maxillofacial prosthodontics at their unit as good or excellent. Only 4 respondents indicated that they were confident of answering an ISFE oncology question on management of healthcare delivery. Six StRs expressed concerns over a lack of case-based exposure.
Conclusion: Experience and training in maxillofacial prosthodontics is inconsistent for StRs across the British Isles with many lacking in clinical exposure.

Managing patient deterioration: evaluation of what works.

Background: Rapid Response Systems (RRS) have been implemented nationally and internationally to improve patient safety in hospital. However, to date the majority of the RRS research evidence has focused on measuring the effectiveness of the intervention on patient outcomes. To evaluate RRS it has been recommended that a multimodal approach is required to address the broad range of process and outcome measures required to determine the effectiveness of the RRS concept. Aim: The aim of this paper is to evaluate the official RRS programme theoretical assumptions regarding how the programme is meant to work against actual practice in order to determine what works. Methods: The research design was a multiple case study approach of four wards in two hospitals in Northern Ireland. It followed the principles of realist evaluation research which allowed empirical data to be gathered to test and refine RRS programme theory [1]. This approach used a variety of mixed methods to test the programme theories including individual and focus group interviews with a purposive sample of 75 nurses and doctors, observation of ward practices and documentary analysis. The findings from the case studies were analysed and compared within and across cases to identify what works for whom and in what circumstances. Results: The RRS programme theories were critically evaluated and compared with study findings to develop a mid-range theory to explain what works, for whom in what circumstances. The findings of what works suggests that clinical experience, established working relationships, flexible implementation of protocols, ongoing experiential learning, empowerment and pre-emptive management are key to the success of RRS implementation.  Conclusion:These findings highlight the combination of factors that can improve the implementation of RRS and in light of this evidence several recommendations are made to provide policymakers with guidance and direction for their success and sustainability.References: 1.Pawson R and Tilley N. (1997) Realistic Evaluation. Sage Publications; LondonType of submission: Concurrent session Source of funding: Sandra Ryan Fellowship funded by the School of Nursing & Midwifery, Queen’s University of Belfast

A practical taxonomy of methods and literature for managing uncertain spatial data in geographic information systems

Perfect information is seldom available to man or machines due to uncertainties inherent in real world problems. Uncertainties in geographic information systems (GIS) stem from either vague/ambiguous or imprecise/inaccurate/incomplete information and it is necessary for GIS to develop tools and techniques to manage these uncertainties. There is a widespread agreement in the GIS community that although GIS has the potential to support a wide range of spatial data analysis problems, this potential is often hindered by the lack of consistency and uniformity. Uncertainties come in many shapes and forms, and processing uncertain spatial data requires a practical taxonomy to aid decision makers in choosing the most suitable data modeling and analysis method. In this paper, we: (1) review important developments in handling uncertainties when working with spatial data and GIS applications; (2) propose a taxonomy of models for dealing with uncertainties in GIS; and (3) identify current challenges and future research directions in spatial data analysis and GIS for managing uncertainties.

Specialty Registrars’ Experience of Managing Head and Neck Cancer Patients

Objective The aim of this study was to collate and compare data on the training of Specialty Registrars in Restorative Dentistry (StRs) in the management of head and neck cancer (HANC) patients across different training units within the UK and Ireland. Methods Current trainees were invited to complete an online questionnaire by the Specialty Registrars in Restorative Dentistry Group (SRRDG). Participants were asked to rate their confidence and experience of assessing and planning treatment for HANC patients, attending theatre alone and manufacturing surgical obturators, and providing implants for appropriate cases. Respondents were also asked to appraise clinical and didactic teaching at their unit, and to rate their confidence of passing a future Intercollegiate Specialty Fellowship Examination (ISFE)-station assessing knowledge of head and neck cancer. Results Responses were obtained from 21 StRs (n=21) training within all five countries of the British Isles. Most respondents were based in England (76%), with one StR in each of Scotland, Wales, Northern Ireland and the Republic of Ireland. A third (33%) were in their 5th year of training. Almost half of the StRs indicated that they were confident of independently assessing (48%) new patients with HANC, with fewer numbers reporting confidence in treatment planning (38%). The majority (52%) of respondents indicated that they were not confident of attending theatre alone and manufacturing a surgical obturator. A third (33%) rated their experience of treating HANC patients with implants as ‘poor’ or ‘very poor’, including three StRs in their 5th year of training. Less than one third (<33%) rated didactic teaching in maxillofacial prosthodontics at their unit as ‘good’ or ‘excellent’, and only 7 StRs indicated that they were confident of passing an ISFE-station focused on HANC. Conclusion Experience and training regarding patients with head and neck cancer is inconsistent for StRs across the UK and Ireland with a number of trainees reporting a lack of clinical exposure.

A decision support system for managing irrigation in agriculture

In this paper, an automatic Smart Irrigation Decision Support System, SIDSS, is proposed to manage irrigation in agriculture. Our system estimates the weekly irrigations needs of a plantation, on the basis of both soil measurements and climatic variables gathered by several autonomous nodes deployed in field. This enables a closed loop control scheme to adapt the decision support system to local perturbations and estimation errors. Two machine learning techniques, PLSR and ANFIS, are proposed as reasoning engine of our SIDSS. Our approach is validated on three commercial plantations of citrus trees located in the South-East of Spain. Performance is tested against decisions taken by a human expert.