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8,097 result(s) for "Economic dependence"
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Abuse Liability of Prescription Opioids Compared to Heroin in Morphine-Maintained Heroin Abusers
Abuse of prescription opioid medications has increased dramatically in the United States during the past decade, as indicated by a variety of epidemiological sources. However, few studies have systematically examined the relative reinforcing effects of commonly abused opioid medications. The current double-blind, placebo-controlled in-patient study was designed to compare the effects of intravenously delivered fentanyl (0, 0.0625, 0.125, 0.187, and 0.250 mg/70 kg), oxycodone (0, 6.25, 12.5, 25, and 50 mg/70 kg), morphine (0, 6.25, 12.5, 25, and 50 mg/70 kg), buprenorphine (0, 0.125, 0.5, 2, and 8 mg/70 kg), and heroin (0, 3.125, 6.25, 12.5, and 25 mg/70 kg) in morphine-maintained heroin abusers ( N =8 completers maintained on 120 mg per day oral morphine in divided doses (30 mg q.i.d.)). All of the participants received all of the drugs tested; drugs and doses were administered in non-systematic order. All of the drugs produced statistically significant, dose-related increases in positive subjective ratings, such as ‘I feel a good drug effect’ and ‘I like the drug.’ In general, the order of potency in producing these effects, from most to least potent, was fentanyl>buprenorphine⩾heroin >morphine=oxycodone. In contrast, buprenorphine was the only drug that produced statistically significant increases in ratings of ‘I feel a bad drug effect’ and it was the only drug that was not self-administered above placebo levels at any dose tested. These data suggest that the abuse liability of buprenorphine in heroin-dependent individuals may be low, despite the fact that it produces increases in positive subjective ratings. The abuse liabilities of fentanyl, morphine, oxycodone, and heroin, however, appear to be similar under these experimental conditions.
Cost-effectiveness of injectable opioid treatment v. oral methadone for chronic heroin addiction
Despite evidence of the effectiveness of injectable opioid treatment compared with oral methadone for chronic heroin addiction, the additional cost of injectable treatment is considerable, and cost-effectiveness uncertain. To compare the cost-effectiveness of supervised injectable heroin and injectable methadone with optimised oral methadone for chronic refractory heroin addiction. Multisite, open-label, randomised controlled trial. Outcomes were assessed in terms of quality-adjusted life-years (QALYs). Economic perspective included health, social services and criminal justice resources. Intervention costs over 26 weeks were significantly higher for injectable heroin (mean £8995 v. £4674 injectable methadone and £2596 oral methadone; P<0.0001). Costs overall were highest for oral methadone (mean £15 805 v. £13 410 injectable methadone and £10 945 injectable heroin; P = n.s.) due to higher costs of criminal activity. In cost-effectiveness analysis, oral methadone was dominated by injectable heroin and injectable methadone (more expensive and less effective). At willingness to pay of £30 000 per QALY, there is a higher probability of injectable methadone being more cost-effective (80%) than injectable heroin. Injectable opioid treatments are more cost-effective than optimised oral methadone for chronic refractory heroin addiction. The choice between supervised injectable heroin and injectable methadone is less clear. There is currently evidence to suggest superior effectiveness of injectable heroin but at a cost that policy makers may find unacceptable. Future research should consider the use of decision analytic techniques to model expected costs and benefits of the treatments over the longer term.
Cost utility analysis of co-prescribed heroin compared with methadone maintenance treatment in heroin addicts in two randomised trials
Abstract Objective To determine the cost utility of medical co-prescription of heroin compared with methadone maintenance treatment for chronic, treatment resistant heroin addicts. Design Cost utility analysis of two pooled open label randomised controlled trials. Setting Methadone maintenance programmes in six cities in the Netherlands. Participants 430 heroin addicts. Interventions Inhalable or injectable heroin prescribed over 12 months. Methadone (maximum 150 mg a day) plus heroin (maximum 1000 mg a day) compared with methadone alone (maximum 150 mg a day). Psychosocial treatment was offered throughout. Main outcome measures One year costs estimated from a societal perspective. Quality adjusted life years (QALYs) based on responses to the EuroQol EQ-5D at baseline and during the treatment period. Results Co-prescription of heroin was associated with 0.058 more QALYs per patient per year (95% confidence interval 0.016 to 0.099) and a mean saving of €12 793 (£8793, $16 122) (€1083 to €25 229) per patient per year. The higher programme costs (€16 222; lower 95% confidence limit €15 084) were compensated for by lower costs of law enforcement (- €4129; upper 95% confidence limit - €486) and damage to victims of crime (- €25 374; upper 95% confidence limit - €16 625). The results were robust for the use of national EQ-5D tariffs and for the exclusion of the initial implementation costs of heroin treatment. Completion of treatment is essential; having participated in any abstinence treatment in the past is not. Conclusions Co-prescription of heroin is cost effective compared with treatment with methadone alone for chronic, treatment resistant heroin addicts.
Cost-Effectiveness of Buprenorphine and Naltrexone Treatments for Heroin Dependence in Malaysia
To aid public health policymaking, we studied the cost-effectiveness of buprenorphine, naltrexone, and placebo interventions for heroin dependence in Malaysia. We estimated the cost-effectiveness ratios of three treatments for heroin dependence. We used a microcosting methodology to determine fixed, variable, and societal costs of each intervention. Cost data were collected from investigators, staff, and project records on the number and type of resources used and unit costs; societal costs for participants' time were estimated using Malaysia's minimum wage. Costs were estimated from a provider and societal perspective and reported in 2004 US dollars. Muar, Malaysia. 126 patients enrolled in a randomized, double-blind, placebo-controlled clinical trial in Malaysia (2003-2005) receiving counseling and buprenorphine, naltrexone, or placebo for treatment of heroin dependence. Primary outcome measures included days in treatment, maximum consecutive days of heroin abstinence, days to first heroin use, and days to heroin relapse. Secondary outcome measures included treatment retention, injection drug use, illicit opiate use, AIDS Risk Inventory total score, and drug risk and sex risk subscores. Buprenorphine was more effective and more costly than naltrexone for all primary and most secondary outcomes. Incremental cost-effectiveness ratios were below $50 for primary outcomes, mostly below $350 for secondary outcomes. Naltrexone was dominated by placebo for all secondary outcomes at almost all endpoints. Incremental treatment costs were driven mainly by medication costs, especially the price of buprenorphine. Buprenorphine appears to be a cost-effective alternative to naltrexone that might enhance economic productivity and reduce drug use over a longer term.
Dependence and precarity in the platform economy
The rapid growth of Uber and analogous platform companies has led to considerable scholarly interest in the phenomenon of platform labor. Scholars have taken two main approaches to explaining outcomes for platform work—precarity, which focuses on employment classification and insecure labor, and technological control via algorithms. Both predict that workers will have relatively common experiences. On the basis of 112 in-depth interviews with workers on seven platforms (Airbnb, TaskRabbit, Turo, Uber, Lyft, Postmates, and Favor) we find heterogeneity of experiences across and within platforms. We argue that because platform labor is weakly institutionalized, worker satisfaction, autonomy, and earnings vary significantly across and within platforms, suggesting dominant interpretations are insufficient. We find that the extent to which workers are dependent on platform income to pay basic expenses rather than working for supplemental income explains the variation in outcomes, with supplemental earners being more satisfied and higher-earning. This suggests platforms are free-riding on conventional employers. We also find that platforms are hierarchically ordered, in terms of what providers can earn, conditions of work, and their ability to produce satisfied workers. Our findings suggest the need for a new analytic approach to platforms, which emphasizes labor force diversity, connections to conventional labor markets, and worker dependence.
Correcting for Cross-Sectional and Time-Series Dependence in Accounting Research
We review and evaluate the methods commonly used in the accounting literature to correct for cross-sectional and time-series dependence. While much of the accounting literature studies settings in which variables are cross-sectionally and serially correlated, we find that the extant methods are not robust to both forms of dependence. Contrary to claims in the literature, we find that the Z2 statistic and Newey-West corrected Fama-MacBeth standard errors do not correct for both cross-sectional and time-series dependence. We show that extant methods produce misspecified test statistics in common accounting research settings, and that correcting for both forms of dependence substantially alters inferences reported in the literature. Specifically, several findings in the implied cost of equity capital literature, the cost of debt literature, and the conservatism literature appear not to be robust to the use of well-specified test statistics.
Media Bias and Reputation
A Bayesian consumer who is uncertain about the quality of an information source will infer that the source is of higher quality when its reports conform to the consumer’s prior expectations. We use this fact to build a model of media bias in which firms slant their reports toward the prior beliefs of their customers in order to build a reputation for quality. Bias emerges in our model even though it can make all market participants worse off. The model predicts that bias will be less severe when consumers receive independent evidence on the true state of the world and that competition between independently owned news outlets can reduce bias. We present a variety of empirical evidence consistent with these predictions.
Independent or Dependent? European Labour Statistics and Their (In)ability to Identify Forms of Dependency in Self-employment
In the studies on labour market change and transformation of employment relations, the growth of new forms of self-employment, including platform work, has raised a broad debate about how to define, classify, and analyse the wide range of positions within the heterogeneous category of self-employed workers. This article analyses the emergent methodologies used in European comparative labour statistics to identify forms of dependency in self-employment. Using the 6th wave of the 2015 European Working Condition Survey and the 2017 ad hoc module on self-employment from the European Labour Force Survey, this article discusses how the representation of dependent self-employment changes by adopting a different operationalization of economic and operational dependency. Findings show how different indicators of dependency change the representation of self-employment in different economic sectors, affecting our understanding of the transformation of working arrangements within self-employment and the boundaries between employment and self-employment.
Implementation of Womens Human Rights in Dar Es Salaam with Special Reference to Domestic Violence: A Critical Appraisal
Objectives: This study delves into the implementation of existing laws to control domestic violence done against women in Kinondoni, Dar es Salaam, Tanzania.    Methods: Through qualitative research methods, and interviews with 150 respondents, including victims, policymakers, and community leaders, the study sheds light on the persistent prevalence of domestic abuse driven by socio-cultural norms, economic dependence, and gender power dynamics.    Main Results: Key contributing factors such as gender inequity, cultural beliefs, substance misuse, and lack of awareness were identified, underscoring the complexity of the issue. Stakeholders emphasized challenges in implementing current legal measures effectively, including resource constraints and gaps in protection for victims. In response, the study proposes collaborative efforts among policymakers, stakeholders, and communities to implement education programs, legal reforms, and awareness campaigns aimed at challenging societal norms and perceptions, thus supporting victims within the existing legal framework.   Conclusion:  Ultimately, the study highlights the imperative of addressing root causes and providing comprehensive support to victims to mitigate domestic violence and advance women rights in the region.