Improving Quality Improvement Using Achievable Benchmarks For Physician Feedback

Kiefe, Catarina I.; Allison, Jeroan J.; Williams, O. Dale; Person, Sharina D.; Weaver, Michael T.; Weissman, Norman

doi:10.1001/jama.285.22.2871

Cited by 419 publications

(132 citation statements)

References 49 publications

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“…Also, the NYSQIO contract with CMS called for statewide improvement in the process measures, which led the NYSQIO to provide performance benchmarking 15,27 to approximately 3000 nonparticipants. Furthermore, most of the providers analyzed practiced in the Downstate region (home to many academic medical centers), and it is conceivable that nonparticipants had access to similar information disseminated by the NYSQIO.…”

Section: Discussionmentioning

confidence: 99%

Effect of Quality Improvement Organization Activities on Outpatient Diabetes Care in Eastern New York State

Wu¹,

Chen²,

Shih³

2006

Medical Care

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Section: Discussionmentioning

confidence: 99%

Effect of Quality Improvement Organization Activities on Outpatient Diabetes Care in Eastern New York State

Wu¹,

Chen²,

Shih³

2006

Medical Care

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“…Although evidence clearly suggests that physician prescribing practices in gout are far less than optimal, we are not aware of any large-scale systematic efforts to reduce prescribing error in gout. This is particularly noteworthy since provider interventions, strategies that could potentially be implemented in gout, have led to improved prescribing behaviors in other chronic diseases [92]. In addition to sub-optimal prescribing practices, inappropriate care in gout involves other components of the healthcare delivery system that include diagnostics, drug administration, documentation, and transcription [18].…”

Section: Discussionmentioning

confidence: 99%

Gout treatment: What is evidence-based and how do we determine and promote optimized clinical care?

Mikuls

2005

Curr Rheumatol Rep

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Gout, a common form of inflammatory arthritis, has been markedly understudied relative to other rheumatologic conditions. As a result, evidence guiding clinical management in gout has traditionally been lacking. Burgeoning data suggests that quality of gout care in gout is frequently suboptimal. In this paper, we examine the evidence supporting gout management strategies in clinical practice. In addition, we examine consensus building efforts that have culminated in the recent publication of gout management quality indicators. We also discuss the need for future initiatives aimed at improving patient safety and quality of care in gout.

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“…The ABC method is objective, readily understandable, easily updated and useful for identifying areas that require improvements in the various fields 12, 13, 14. In a cluster randomized controlled trial (RCT) in primary care settings, the ABC method has been shown to significantly improve the effect of physician performance feedback in a multifaceted, quality improvement intervention 15. However, the effect of the ABC method in improving the quality of care has not been extensively studied in the field of diabetes care.…”

Section: Introductionmentioning

confidence: 99%

A cluster randomized trial on the effect of a multifaceted intervention improved the technical quality of diabetes care by primary care physicians: The Japan Diabetes Outcome Intervention Trial‐2 (J‐DOIT2)

Hayashino

Suzuki

Yamazaki³

et al. 2015

Diabet. Med.

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AimsTo evaluate the effect of multifaceted interventions using the Achievable Benchmark of Care (ABC) method for improving the technical quality of diabetes care in primary care settings.MethodsWe conducted a 1‐year cluster randomized controlled trial in 22 regions divided into an intervention group (IG) or control group (CG). Physicians in the IG received a monthly report of their care quality, with the top 10% quality of diabetes care scores for all physicians being the achievable benchmark. The change in quality‐of‐care scores between the IG and CG during follow‐up was analysed using a generalized linear model considering clustering.ResultsA total of 2199 patients were included. Their mean (sd) age was 56.5 ± 5.9 years and the mean (sd) HbA1c level was 56.4 ± 13.3 mmol/mol (7.4 ± 1.2%). The quality‐of‐care score in the CG changed from 50.2%‐point at baseline to 51%‐point at 12 months, whereas the IG score changed from 49.9%‐point to 69.6%‐point, with statistically significant differences between the two groups during follow‐up [the effect of intervention was 19.0%‐point (95% confidence interval 16.7%‐ to 21.3%‐point; P < 0.001)].ConclusionsMultifaceted intervention, measuring quality‐of‐care indicators and providing feedback regarding the quality of diabetes care to physicians with ABC, was effective for improving the technical quality of care in patients with Type 2 diabetes in primary care settings. (Trial Registration: umin.ac.jp/ctr as UMIN000002186)

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Improving Quality Improvement Using Achievable Benchmarks For Physician Feedback

Abstract: Use of achievable benchmarks significantly enhances the effectiveness of physician performance feedback in the setting of a multimodal quality improvement intervention.

Cited by 419 publications

References 49 publications

Effect of Quality Improvement Organization Activities on Outpatient Diabetes Care in Eastern New York State

Effect of Quality Improvement Organization Activities on Outpatient Diabetes Care in Eastern New York State

Gout treatment: What is evidence-based and how do we determine and promote optimized clinical care?

A cluster randomized trial on the effect of a multifaceted intervention improved the technical quality of diabetes care by primary care physicians: The Japan Diabetes Outcome Intervention Trial‐2 (J‐DOIT2)

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