Role of bone marrow biopsy for staging new patients with Ewing sarcoma: A systematic review.

The incidence of bone marrow metastasis (BMM) in newly diagnosed Ewing sarcoma (ES) is variable across studies. An optimal staging strategy for detecting BMM is not defined. While bone marrow (BM) biopsy and/or aspirate (BMBA) have been the gold standard, [F-18]fluorodeoxyglucose positron emission tomography (FDG-PET) to detect BMM may decrease reliance on BMBA. We conducted a systematic review to assess incidence of BMM and the role of FDG-PET. We observed a pooled incidence of BMM by BMBA of 4.8% in all newly diagnosed ES patients and 17.5% among patients with metastatic disease. Only 1.2% of patients had BMM as their sole metastatic site. FDG-PET detection of BMM compared to BMBA demonstrated pooled 100% sensitivity and 96% specificity, positive predictive value of 75%, and negative predictive value of 100%. In the era of FDG-PET imaging, omission of BMBA may be considered in patients with otherwise localized disease after initial staging studies.

Record linkage software in the public domain: a comparison of Link Plus, The Link King, and a 'basic' deterministic algorithm.

The study objective was to compare the accuracy of a deterministic record linkage algorithm and two public domain software applications for record linkage (The Link King and Link Plus). The three algorithms were used to unduplicate an administrative database containing personal identifiers for over 500,000 clients. Subsequently, a random sample of linked records was submitted to four research staff for blinded clerical review. Using reviewers' decisions as the 'gold standard', sensitivity and positive predictive values (PPVs) were estimated. Optimally, sensitivity and PPVs in the mid 90s could be obtained from both The Link King and Link Plus. Sensitivity and PPVs using a basic deterministic algorithm were 79 and 98 per cent respectively. Thus the full feature set of The Link King makes it an attractive option for SAS users. Link Plus is a good choice for non-SAS users as long as necessary programming resources are available for processing record pairs identified by Link Plus.

Impact of Agency Receipt of Incentives and Reminders on Engagement and Continuity of Care for Clients With Co-Occurring Disorders.

OBJECTIVE: This study examined whether having co-occurring substance use and mental disorders influenced treatment engagement or continuity of care and whether offering financial incentives, client-specific electronic reminders, or a combination to treatment agencies improved treatment engagement and continuity of care among clients with co-occurring disorders. METHODS: The study used a randomized cluster design to assign agencies (N=196) providing publicly funded substance use disorder treatment in Washington State to a research arm: incentives only, reminders only, incentives and reminders, and a control condition. Data were analyzed for 76,044 outpatient, 32,797 residential, and 39,006 detoxification admissions from Washington's treatment data system. Multilevel logistic regressions were conducted, with clients nested within agencies, to examine the effect of the interventions on treatment engagement and continuity of care. RESULTS: Compared with clients with a substance use disorder only, clients with co-occurring disorders were less likely to engage in outpatient treatment or have continuity of care after discharge from residential treatment, but they were more likely to have continuity of care after discharge from detoxification. The interventions did not influence treatment engagement or continuity of care, except the reminders had a positive impact on continuity of care after residential treatment among clients with co-occurring disorders. CONCLUSIONS: In general, the interventions did not result in improved treatment engagement or continuity of care. The limited number of significant results supporting the influence of incentives and alerts on treatment engagement and continuity of care add to the mixed findings reported by previous research. Multiple interventions may be needed for performance improvement.

Gender-sensitive substance abuse treatment and arrest outcomes for women.

The present study links an empirically-developed quantitative measure of gender-sensitive (GS) substance abuse treatment to arrest outcomes among 5109 substance abusing women in mixed-gender short-term residential programs in Washington State. Frailty models of survival analysis and three-level hierarchical linear models were conducted to test the beneficial effects of GS treatment on decreasing criminal justice involvement. Propensity scores were used to control for the pre-existing differences among women due to the quasi-experimental nature of the study. Men's arrest outcomes were used to control for confounding at the program level. Results show that women in more GS treatment programs had a lower risk of drug-related arrests, and women in more GS treatment programs who also completed treatment had a significant reduction in overall arrests from 2 years before- to 2 years after treatment, above and beyond the reduction in arrests due to treatment alone. Implications and directions for future research are discussed.

Impact of record-linkage methodology on performance indicators and multivariate relationships.

Program evaluation often requires the linkage of records from independently maintained data systems (e.g., substance abuse treatment and criminal justice). Data entry errors (e.g., misspelled names, transposed digits) complicate the linkage task. In this investigation, three record-linkage algorithms (match-merge, common patient identifier, and probabilistic) are used to link recipients of publicly funded outpatient substance abuse treatment to statewide arrest and death data. The impact of record-linkage algorithm on performance indicators, prevalence indicators (i.e., arrest rates, and death rates), and hazard ratios derived from a multivariate survival analysis predicting risk of arrest following admission to outpatient substance abuse treatment is evaluated. Choice of algorithm substantially impacted estimates of arrest rates (range: year prior to admission, 39.8%-53.4%; year following admission, 24.7%-33.1%). The hazard ratio associated with "prior arrest" as a predictor of arrest following admission to outpatient substance abuse treatment (hazard ratio range = 0.20-0.37, p < .05) was also influenced by algorithm choice.

Impact of substance abuse treatment on arrests among opiate users in Washington State.

Administrative data from Washington State's Division of Alcohol and Substance Abuse drive this three-year prospective study of the impact of substance abuse treatment on arrests among 12,962 opiate users receiving publicly funded substance abuse services. Using survival analysis, the risk of arrest among opiate users who receive substance abuse treatment is compared to those who do not receive treatment. Propensity scores control for client characteristics associated with admission to substance abuse treatment. Overall, a reduction in the risk of arrest was found among subjects in treatment (Hazard Ratio = 0.59-0.78, p < .05) and subjects successfully completing treatment (Hazard Ratio = 0.75, p < .05). Risk of arrest was elevated among those with a negative outcome to treatment (Hazard Ratio = 1.23, p < .05).