| 1. |
- Buchholz, Angela, et al.
(författare)
-
Patient-Centered Placement Matching of Alcohol-Dependent Patients Based on a Standardized Intake Assessment : Primary Outcomes of an Exploratory Randomized Controlled Trial
- 2020
-
Ingår i: European Addiction Research. - : S. Karger AG. - 1022-6877 .- 1421-9891. ; 26:3, s. 109-121
-
Tidskriftsartikel (refereegranskat)abstract
- Background: Placement matching guidelines are promising means to optimize patient-centered care and to match patients' treatment needs. Despite considerable research regarding placement matching approaches to optimize alcohol abuse treatment, findings are inconclusive. Objectives: To investigate whether the use of patient-centered placement matching (PCPM) guidelines is more effective in reducing heavy drinking and costs 6 months after discharge from an inpatient alcohol withdrawal treatment compared to usual referral to aftercare. Secondary aims were to investigate whether age, gender, trial site or level of care (LOC) are moderators of efficacy and whether patients who were actually referred to the recommended LOC had better treatment outcomes compared to patients who were treated under- or overmatched. Methods: Design. Exploratory randomized controlled trial with measurements during withdrawal treatment and 6 months after initial assessment. Setting. Four German psychiatric clinics offering a 7-21 day inpatient qualified withdrawal program for patients suffering from alcohol dependence. Participants. From 1,927 patients who had a primary diagnosis of alcohol dependence and did not have organized aftercare when entering withdrawal treatment, 299 were invited to participate. Of those, 250 were randomized to the intervention group (IG, n = 123) or the control group (CG, n = 127). Intervention. The PCPM were applied to patients of the IG by feeding back a recommendation to a LOC for aftercare that was calculated from the Measurements in the Addictions for Triage and Evaluation (MATE) and discussed with the staff of the treatment unit. Patients of the CG received a general feedback regarding their MATE interview on request. Measurements. The MATE, the Client Socio-Demographic and Service Receipt Inventory--European Version and the MATE-Outcomes were administered. Data were analyzed using generalized linear models. Results: In the intention-to-treat analysis, there were no significant differences between IG and CG regarding days of heavy drinking (incident risk ratio [IRR] 1.09; p = 0.640), direct (IRR 1.06; p = 0.779), indirect (IRR 0.77; p = 0.392) and total costs (IRR 0.89; p = 0.496). Furthermore, none of the investigated moderator variables affected statistically significant drinking or cost-related primary outcomes. Regardless of group allocation, patients who received matched aftercare reported significantly fewer days of heavy drinking than undermatched patients (IRR 2.09; p = 0.004). For patients who were overmatched, direct costs were significantly higher (IRR 1.79; p = 0.024), but with no additional effects on alcohol consumption compared to matched patients. Conclusions: While the use of PCPM failed to affect the actual referral to aftercare, our findings suggest that treating patients on the recommended LOC may have the potential to reduce days of heavy drinking compared to undertreatment and costs compared to overtreatment.
|
|
| 2. |
- Buchholz, Angela, et al.
(författare)
-
Placement matching of alcohol-dependent patients based on a standardized intake assessment : rationale and design of a randomized controlled trial
- 2014
-
Ingår i: BMC Psychiatry. - : Springer Science and Business Media LLC. - 1471-244X. ; 14, s. 286-
-
Tidskriftsartikel (refereegranskat)abstract
- Background: Despite considerable research on substance-abuse placement matching, evidence is still inconclusive. The aims of this exploratory trial are to evaluate (a) the effects of following matching guidelines on health-care costs and heavy drinking, and (b) factors affecting the implementation of matching guidelines in the treatment of alcohol-dependent patients. Methods: A total of 286 alcohol-dependent patients entering one of four participating detoxification units and having no arrangements for further treatment will be recruited. During the first week of treatment, all patients will be administered Measurements in the Addictions for Triage and Evaluation (MATE), European Quality of Life-Five Dimensions health status questionnaire (EQ-5D), and the Client Socio-Demographic and Service Receipt Inventory-European Version (CSSRI-EU). Patients who are randomly allocated to the intervention group will receive feedback regarding their assessment results, including clear recommendations for subsequent treatment. Patients of the control group will receive treatment as usual and, if requested, global feedback regarding their assessment results, but no recommendations for subsequent treatment. At discharge, treatment outcome and referral decisions will be recorded. Six months after discharge, patients will be administered MATE-Outcome, EQ-5D, and CSSRI-EU during a telephone interview. Discussion: This trial will provide evidence on the effects and costs of using placement-matching guidelines based on a standardized assessment with structured feedback in the treatment of alcohol-dependent patients. A process evaluation will be conducted to facilitate better understanding of the relationship between the use of guidelines, outcomes, and potential mediating variables.
|
|
| 3. |
|
|
| 4. |
- Pennells, Lisa, et al.
(författare)
-
Equalization of four cardiovascular risk algorithms after systematic recalibration : individual-participant meta-analysis of 86 prospective studies
- 2019
-
Ingår i: European Heart Journal. - : Oxford University Press (OUP). - 0195-668X .- 1522-9645. ; 40:7, s. 621-
-
Tidskriftsartikel (refereegranskat)abstract
- Aims: There is debate about the optimum algorithm for cardiovascular disease (CVD) risk estimation. We conducted head-to-head comparisons of four algorithms recommended by primary prevention guidelines, before and after ‘recalibration’, a method that adapts risk algorithms to take account of differences in the risk characteristics of the populations being studied.Methods and results: Using individual-participant data on 360 737 participants without CVD at baseline in 86 prospective studies from 22 countries, we compared the Framingham risk score (FRS), Systematic COronary Risk Evaluation (SCORE), pooled cohort equations (PCE), and Reynolds risk score (RRS). We calculated measures of risk discrimination and calibration, and modelled clinical implications of initiating statin therapy in people judged to be at ‘high’ 10 year CVD risk. Original risk algorithms were recalibrated using the risk factor profile and CVD incidence of target populations. The four algorithms had similar risk discrimination. Before recalibration, FRS, SCORE, and PCE over-predicted CVD risk on average by 10%, 52%, and 41%, respectively, whereas RRS under-predicted by 10%. Original versions of algorithms classified 29–39% of individuals aged ≥40 years as high risk. By contrast, recalibration reduced this proportion to 22–24% for every algorithm. We estimated that to prevent one CVD event, it would be necessary to initiate statin therapy in 44–51 such individuals using original algorithms, in contrast to 37–39 individuals with recalibrated algorithms.Conclusion: Before recalibration, the clinical performance of four widely used CVD risk algorithms varied substantially. By contrast, simple recalibration nearly equalized their performance and improved modelled targeting of preventive action to clinical need.
|
|
