Randomized Control Trial (RCT) Evaluating Improvement Strategies in Addiction Treatment
试验速览
- 阶段
- 3 期
- 状态
- 已完成
- 入组人数
- 201
- 试验地点
- 2
- 主要终点
- Change in Average Waiting Time From First Contact to Treatment
研究概览
简要总结
Addiction treatment is often characterized by long delays between first contact and treatment as well as high no-show and drop out rates leading to unused capacity in apparently full agencies. Patients do not get needed care and agency financial stability is threatened. The Network for Improvement of Addiction Treatment (NIATx) began as a high-intensity improvement collaborative of 39 addiction treatment agencies distributed across 25 states. NIATx substantially improved time to treatment and continuation in treatment by making improvements to organizational processes (such as first contact, intake and assessment, engagement, level of care transitions, paperwork, social support, outreach, and scheduling) in preliminary studies. While the results are very encouraging, they have, by intent, been obtained from a select group of agencies using a high-cost combination of services. A more practical diffusion model is needed to spread process improvements across the spectrum of treatment agencies. This study is a cluster-randomized trial to test the effectiveness and cost of less expensive combinations of the services that make up the NIATx collaborative (interest circles, coach calls, coach visits and learning sessions).
详细描述
This cluster-RCT randomly assign 201 treatment agencies in 5 states to four experimental arms. The agencies were randomized to an intervention for 18 months with a 9 month sustainability period. The study aimed to: 1) Determine whether a state-based strategy can (with NIATx support) can lead mainstream treatment agencies to implement and sustain process changes that improve the study's primary outcomes: time to treatment, annual clinic admissions, and continuation in treatment; and 2) Evaluate the effectiveness and cost of the services making up NIATx. This study aims to create a practical model for improving efficiency and effectiveness of addiction treatment.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Health Services Research
- 盲法
- None
入排标准
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •at least 60 admissions/year
- •provide outpatient and intensive outpatient levels of care (as defined by ASAM)
- •provide or use detox services provided by others
- •have tax-exempt or government status or rely on public funding (e.g., block grants, Medicare, Medicaid, local government, private philanthropy) for at least 50% of their budget
- •have adopted no more than two of the planned interventions
排除标准
- •are current NIATx members
结局指标
主要结局
Change in Average Waiting Time From First Contact to Treatment
时间窗: Baseline and 15 months
The average length of time in days it takes from when a patient first calls for help to the time a patient was able to meet a clinician. In this quality improvement study, changes in this measure over time are reported. Estimates of improvement show the average days of improvement per month based on a best linear unbiased predictor estimate for each site. Note: this study has three primary outcomes. The number of participants analyzed varies for each outcome. The (higher) number of clinics shown in the flow diagram results because clinics may have been analyzed on a subset of the three primary outcomes (e.g., analyzed for waiting time and continuation, but not for annual number of new patients). To be considered "analyzed" in the flow diagram, a clinic must have been included in at least one primary outcomes analysis.
Change in Annual Number of Patient Admissions
时间窗: 48 months (2 year baseline period and 2 year post-intervention period)
We aimed to increase clinics' treatment capacity in this quality improvement study. Capacity was measured by counting clinics' annual number of patient admissions. We monitored changes in admission counts, per clinic, in a pre-post analysis. Changes in the natural logarithm of annual admissions are presented, which approximates the average percentage change (year-to-year) in the number of new patient admissions per clinic. Note: this study has three primary outcomes. The number of participants analyzed varies for each outcome. The (higher) number of clinics shown in the flow diagram results because clinics may have been analyzed on a subset of the three primary outcomes (e.g., analyzed for waiting time and continuation, but not for annual number of new patients). To be considered "analyzed" in the flow diagram, a clinic must have been included in at least one primary outcomes analysis.
Change in Average Continuation Rate Through the Fourth Treatment Session
时间窗: Baseline and 21 months
This outcome represents change in the rate at which a clinic's patients continue in treatment. Continuation rate is defined as the percentage of patients that make at least 4 visits to the clinic, on different days, before being discharged. Estimates of improvement show the average percentage points of improvement per month based on a best linear unbiased predictor estimate for each site. Note: this study has three primary outcomes. The number of participants analyzed varies for each outcome. The (higher) number of clinics shown in the flow diagram results because clinics may have been analyzed on a subset of the three primary outcomes (e.g., analyzed for waiting time and continuation, but not for annual number of new patients). To be considered "analyzed" in the flow diagram, a clinic must have been included in at least one primary outcomes analysis.
次要结局
- Cost of Group(Baseline and 18 months)