Public release of performance data in changing the behaviour of healthcare consumers, professionals or organisations.

BACKGROUND: It is becoming increasingly common to release information about the performance of hospitals, health professionals or providers, and healthcare organisations into the public domain. However, we do not know how this information is used and to what extent such reporting leads to quality improvement by changing the behaviour of healthcare consumers, providers and purchasers, or to what extent the performance of professionals and providers can be affected. OBJECTIVES: To determine the effectiveness of the public release of performance data in changing the behaviour of healthcare consumers, professionals and organisations. SEARCH METHODS: We searched the Cochrane Central Register of Controlled Trials (CENTRAL), Cochrane Effective Practice and Organisation of Care (EPOC) Trials Register, MEDLINE Ovid (from 1966), EMBASE Ovid (from 1979), CINAHL, PsycINFO Ovid (from 1806) and DARE up to 2011. SELECTION CRITERIA: We searched for randomised or quasi-randomised trials, interrupted time series and controlled before-after studies of the effects of publicly releasing data regarding any aspect of the performance of healthcare organisations or individuals. The papers had to report at least one main outcome related to selecting or changing care. Other outcome measures were awareness, attitude, views and knowledge of performance data and costs. DATA COLLECTION AND ANALYSIS: Two review authors independently screened studies for eligibility and extracted data. For each study, we extracted data about the target groups (healthcare consumers, healthcare providers and healthcare purchasers), performance data, main outcomes (choice of healthcare provider and improvement by means of changes in care) and other outcomes (awareness, attitude, views, knowledge of performance data and costs). MAIN RESULTS: We included four studies containing more than 35,000 consumers, and 1560 hospitals. Three studies were conducted in the USA and examined consumer behaviour after the public release of performance data. Two studies found no effect of Consumer Assessment of Healthcare Providers and Systems information on health plan choice in a Medicaid population. One interrupted time series study found a small positive effect of the publishing of data on patient volumes for coronary bypass surgery and low-complication outliers for lumbar discectomy, but these effects did not persist longer than two months after each public release. No effects on patient volumes for acute myocardial infarction were found.One cluster-randomised controlled trial, conducted in Canada, studied improvement changes in care after the public release of performance data for patients with acute myocardial infarction and congestive heart failure. No effects for the composite process-of-care indicators for either condition were found, but there were some improvements in the individual process-of-care indicators. There was an effect on the mortality rates for acute myocardial infarction. More quality improvement activities were initiated in response to the publicly-released report cards. No secondary outcomes were reported. AUTHORS' CONCLUSIONS: The small body of evidence available provides no consistent evidence that the public release of performance data changes consumer behaviour or improves care. Evidence that the public release of performance data may have an impact on the behaviour of healthcare professionals or organisations is lacking.

Survival curves to support quality improvement in hospitals with excess 30-day mortality after acute myocardial infarction, cerebral stroke and hip fracture: a before-after study.

OBJECTIVES: To evaluate survival curves (Kaplan-Meier) as a means of identifying areas in the clinical pathway amenable to quality improvement. DESIGN: Observational before-after study. SETTING: In Norway, annual public reporting of nationwide 30-day in-and-out-of-hospital mortality (30D) for three medical conditions started in 2011: first time acute myocardial infarction (AMI), stroke and hip fracture; reported for 2009. 12 of 61 hospitals had statistically significant lower/higher mortality compared with the hospital mean. PARTICIPANTS: Three hospitals with significantly higher mortality requested detailed analyses for quality improvement purposes: Telemark Hospital Trust Skien (AMI and stroke), Østfold Hospital Trust Fredrikstad (stroke), Innlandet Hospital Trust Gjøvik (hip fracture). OUTCOME MEASURES: Survival curves, crude and risk-adjusted 30D before (2008-2009) and after (2012-2013). INTERVENTIONS: Unadjusted survival curves for the outlier hospitals were compared to curves based on pooled data from the other hospitals for the 30-day period 2008-2009. For patients admitted with AMI (Skien), stroke (Fredrikstad) and hip fracture (Gjøvik), the curves suggested increased mortality from the initial part of the clinical pathway. For stroke (Skien), increased mortality appeared after about 8 days. The curve profiles were thought to reflect suboptimal care in various phases in the clinical pathway. This informed improvement efforts. RESULTS: For 2008-2009, hospital-specific curves differed from other hospitals: borderline significant for AMI (p=0.064), highly significant (p≤0.005) for the remainder. After intervention, no difference was found (p>0.188). Before-after comparison of the curves within each hospital revealed a significant change for Fredrikstad (p=0.006). For the three hospitals, crude 30D declined and they were non-outliers for risk-adjusted 30D for 2013. CONCLUSIONS: Survival curves as a supplement to 30D may be useful for identifying suboptimal care in the clinical pathway, and thus informing design of quality improvement projects.