Assessing the Quality of Decision Support Technologies Using the International Patient Decision Aid Standards instrument (IPDASi)

Objectives To describe the development, validation and inter-rater reliability of an instrument to measure the quality of patient decision support technologies (decision aids). Design Scale development study, involving construct, item and scale development, validation and reliability testing. Setting There has been increasing use of decision support technologies – adjuncts to the discussions clinicians have with patients about difficult decisions. A global interest in developing these interventions exists among both for-profit and not-for-profit organisations. It is therefore essential to have internationally accepted standards to assess the quality of their development, process, content, potential bias and method of field testing and evaluation. Methods Scale development study, involving construct, item and scale development, validation and reliability testing. Participants Twenty-five researcher-members of the International Patient Decision Aid Standards Collaboration worked together to develop the instrument (IPDASi). In the fourth Stage (reliability study), eight raters assessed thirty randomly selected decision support technologies. Results IPDASi measures quality in 10 dimensions, using 47 items, and provides an overall quality score (scaled from 0 to 100) for each intervention. Overall IPDASi scores ranged from 33 to 82 across the decision support technologies sampled (n = 30), enabling discrimination. The inter-rater intraclass correlation for the overall quality score was 0.80. Correlations of dimension scores with the overall score were all positive (0.31 to 0.68). Cronbach's alpha values for the 8 raters ranged from 0.72 to 0.93. Cronbach's alphas based on the dimension means ranged from 0.50 to 0.81, indicating that the dimensions, although well correlated, measure different aspects of decision support technology quality. A short version (19 items) was also developed that had very similar mean scores to IPDASi and high correlation between short score and overall score 0.87 (CI 0.79 to 0.92). Conclusions This work demonstrates that IPDASi has the ability to assess the quality of decision support technologies. The existing IPDASi provides an assessment of the quality of a DST's components and will be used as a tool to provide formative advice to DSTs developers and summative assessments for those who want to compare their tools against an existing benchmark

Internet of Things for Environmental Sustainability and Climate Change

Our world is vulnerable to climate change risks such as glacier retreat, rising temperatures, more variable and intense weather events (e.g., floods, droughts, and frosts), deteriorating mountain ecosystems, soil degradation, and increasing water scarcity. However, there are big gaps in our understanding of changes in regional climate and how these changes will impact human and natural systems, making it difficult to anticipate, plan, and adapt to the coming changes. The IoT paradigm in this area can enhance our understanding of regional climate by using technology solutions, while providing the dynamic climate elements based on integrated environmental sensing and communications that is necessary to support climate change impacts assessments in each of the related areas (e.g., environmental quality and monitoring, sustainable energy, agricultural systems, cultural preservation, and sustainable mining). In the IoT in Environmental Sustainability and Climate Change chapter, a framework for informed creation, interpretation and use of climate change projections and for continued innovations in climate and environmental science driven by key societal and economic stakeholders is presented. In addition, the IoT cyberinfrastructure to support the development of continued innovations in climate and environmental science is discussed

Impacts of an Opioid Overdose Prevention Intervention Delivered Subsequent to Acute Care

Background Opioid overdose is a major and increasing cause of injury and death. There is an urgent need for interventions to reduce overdose events among high-risk persons. Methods Adults at elevated risk for opioid overdose involving heroin or pharmaceutical opioids who had been cared for in an emergency department (ED) were randomised to overdose education combined with a brief behavioural intervention and take-home naloxone or usual care. Outcomes included: (1) time to first opioid overdose-related event resulting in medical attention or death using competing risks survival analysis; and (2) ED visit and hospitalisation rates, using negative binomial regression and adjusting for time at risk. Results During the follow-up period, 24% of the 241 participants had at least one overdose event, 85% had one or more ED visits and 55% had at least one hospitalisation, with no significant differences between intervention and comparison groups. The instantaneous risk of an overdose event was not significantly lower for the intervention group (sub-HR: 0.83; 95% CI 0.49 to 1.40). Discussion These null findings may be due in part to the severity of the population in terms of housing insecurity (70% impermanently housed), drug use, unemployment and acute healthcare issues. Given the high overdose and healthcare utilisation rates, more intensive interventions, such as direct referral and provision of housing and opioid agonist treatment medications, may be necessary to have a substantial impact on opioid overdoses for this high-acuity population in acute care settings

Home automation system for energy management through power lines

Home Automation System connects household appliances together on a network so that it can be automatically or manually controlled using a common interface and can react with each other. Interconnection between these devices can either be through wires (phone lines, power-lines) or through radio waves. The thesis is to implement a microcontroller-based home automation system for energy management through power lines. The system will be applied to an energy management scheme that controls the consumption of the selected appliances. The system is basically composed of the main controller and PLC modems which are connected via the existing power lines and appliance controller where appliances are connected. The user just keys in the maximum desired consumption for the month, and the system will function by itself. An alarm will be integrated on the main controller to notify the priority settings. The user has an option to disable or reset the system. With the said thesis, people will have the capacity to regulate one\u27s desire electric consumption every month, thus one will be able to cut down expenses. Lower consumption provides low heat dissipation which decreases energy use therefore, friendly to the environment. Also, the said system will provide more convenience to the users because it will automatically do the tasks depending to the user\u27s own personal preferences

Prescribed opioid difficulties, depression and opioid dose among chronic opioid therapy patients.

BackgroundChronic opioid therapy has increased dramatically, as have complications related to prescription opioids. Little is known about the problems and concerns attributed to opioids by patients receiving different opioid doses.MethodsWe surveyed 1883 patients who were receiving chronic opioid therapy for chronic noncancer pain. Opioid regimen characteristics were ascertained from electronic pharmacy records. Patient-reported opioid-related problems and concerns were measured using the Prescription Opioid Difficulties Scale. Depression was assessed with the Patient Health Questionnaire.ResultsPatients prescribed higher opioid doses reported modestly higher pain intensity and pain impact. After adjustment, patients on higher doses attributed higher levels of psychosocial problems and control concerns to prescribed opioids (P<.0001). They also had higher levels of depression and were more likely to meet criteria for clinical depression. Over 60% of patients receiving 120+ mg daily (morphine equivalent) were clinically depressed, a 2.6-fold higher risk (95% confidence interval: 1.5-4.4) than patients on low-dose regimens (<20 mg daily).ConclusionsHigher opioid doses were associated with somewhat higher pain severity and higher levels of patient-reported opioid-related psychosocial problems, control concerns and depression. These findings may result from patient selection for high-dose therapy or problems caused by higher-dose opioids

Depression and ambivalence toward chronic opioid therapy for chronic noncancer pain.

ObjectivesChronic opioid therapy (COT) for chronic noncancer pain (CNCP) is characterized by both high rates of patient-initiated discontinuation and by perceived helpfulness among those who sustain opioid use. This study examines predictors of the desire to cut down or stop opioid therapy among patients receiving COT who report that opioids are helpful for relieving pain.MethodsWe conducted a cross-sectional survey of 1737 selected patients receiving COT for CNCP who perceived opioids to be helpful in relieving their pain. Ambivalence about opioid use was assessed by agreement/disagreement with a statement indicating that they would like to stop or cut down the use of prescribed opioid medications. Depression was measured with the 8-item Patient Health Questionnaire.ResultsA high percentage (43.3%) of survey respondents who found opioids helpful also reported the desire to stop or cut down opioids. Half of these patients reporting the desire to stop or cut down were clinically depressed, compared with a third of those not wanting to stop or cut down, a highly significant difference after controlling for covariates (P<0.0001). The group wanting to stop or cut down opioid use also reported significantly higher levels of opioid-related psychosocial problems and opioid control concerns.DiscussionThere are high rates of ambivalence about opioid use among COT recipients who consider opioids helpful for pain relief. Depressed patients are more likely to be ambivalent about use of prescribed opioids. Eliciting patient ambivalence may be helpful in patients who are not benefiting from long-term opioid use as an initial step toward consideration of discontinuation