Literature DB >> 28605555

Operationalizing Multidisciplinary Assessment and Treatment as a Quality Metric for Interventional Pain Practices.

Edward K Heres1, David Itskevich2, Ajay D Wasan1.   

Abstract

Objective: Quality improvement (QI) is an underutilized approach among pain medicine specialists to improve comprehensive pain assessment and the delivery of multimodal pain care. We report the results of a QI program that utilized peer review and financial incentives to improve these processes in interventional pain clinics. Design: Retrospective chart review. Setting: Eight academic and community-based practices that included separate hospital-based and non-hospital-based interventional pain clinics. Subjects: Results of chart audits by nine academic pain medicine physicians.
Methods: An audit of a random sample of each pain physician's charts was periodically examined for mention and discussion of specific components of multidisciplinary pain care. A portion of the physician's incentive payment was withheld if less than 70% of charts were compliant. The rates of compliance after the intervention for the group were compared.
Results: Before this program was instituted, an audit of 10 patient charts from each of the nine pain medicine physicians revealed only a 13% baseline rate of compliance. After the audit system was implemented, 90% of all patient charts were compliant during the first 12-month period (P < 0.01 for the change in rate of compliance). Conclusions: The results of this QI project suggest that pain clinics can make this value-based transition and offer high-quality multidisciplinary assessment and treatment, with good compliance among a group of physicians in primarily intervention-based practices.

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Year:  2018        PMID: 28605555     DOI: 10.1093/pm/pnx079

Source DB:  PubMed          Journal:  Pain Med        ISSN: 1526-2375            Impact factor:   3.750


  2 in total

1.  Chronic pain clinic efficiency analysis: optimization through use of the Gantt diagram and visit diagnoses.

Authors:  Hayden E Hundley; Mark E Hudson; Ajay D Wasan; Trent D Emerick
Journal:  J Pain Res       Date:  2018-12-17       Impact factor: 3.133

2.  Hierarchical clustering by patient-reported pain distribution alone identifies distinct chronic pain subgroups differing by pain intensity, quality, and clinical outcomes.

Authors:  Benedict J Alter; Nathan P Anderson; Andrea G Gillman; Qing Yin; Jong-Hyeon Jeong; Ajay D Wasan
Journal:  PLoS One       Date:  2021-08-04       Impact factor: 3.240

  2 in total

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