Inside the black box: the importance of monitoring treatment implementation.
Inside the black box: the importance of monitoring treatment implementation.
复制标题
黑匣子内部:监控治疗实施的重要性。
DOI:
10.1093/oxfordjournals.schbul.a007107
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发表时间:
2004
影响因子:
6.6
通讯作者:
Weissman,EllenM
中科院分区:
文献类型:
--
作者:
Essock,SusanM;Covell,NancyH;Weissman,EllenM
The original Schizophrenia Patient Outcomes Research Team (PORT) treatment recommendations (1998a, 1998b) were a landmark because they both identified interventions used to treat schizophrenia that were supported by an adequate evidence base and conducted record reviews to estimate how often people with schizophrenia actually received these interventions. The results treatments known to be effective (1998b). The updated showed how rarely patients with schizophrenia received PORT guidelines (Lehman et al. 2004) provide a useful tool to measure the delivery of evidence-based treatments according to more recent evidence. The updated PORT report stops short of answering a key question: In the intervening years, have the odds improved that a person with schizophrenia being treated in a public mental health system is receiving evidence-based treatments? This commentary will focus on the importance of tracking the answer to that question and the need for efficient methods to document whether the treatments are delivered with fidelity to the evidence-based models.The desire to provide good care is, in itself, an important incentive to support the implementation of evidence-based practices. However, adequate administrative and fiscal incentives are also necessary, particularly in systems already burdened by significantly reduced budgets. Without these incentives, we can expect dissemination of innovative evidence-based treatments to languish. Payers who want to pay for an effective treatment, and program administrators and clinical supervisors responsible for the delivery of such care, are confronted with the difficulty of wanting the provider to quantify the intervention in measurable, reportable terms to confirm that the treatment is being delivered in a manner known to be effective, while at the same time wanting to minimize the burden that measurement places on the provider’s time.