Quality improvement strategies and tools: A comparative analysis between Italy and the United States

Dimensions of performance and related key performance indicators addressed in healthcare organisations: A literature review

INTRODUCTION

Performance measurement systems have become essential managerial tools for healthcare organisations in the last few decades. They allow hospital managers to pilot their institution and assess the development of the organisation in helping managers in decision-making and viewing the different impacts of these decisions. However, there is a need to investigate further the dimensions of performance those performance measurement systems address.

METHODS

A literature review was primarily conduced about performance measures in healthcare organisations. A comparative study was secondly made to identify the different performance dimensions that are present in the literature during the last decade. Forty-nine studies were considered and sixteen proposal frameworks were used to make the comparative analyses.

RESULTS

We classified dimensions depending on the frequency of mobilisation of their components in four categories: the stars, the first runners-up, the opportunists and the forgotten ones. For each of the dimensions presented in this classification, the main types of KPIs proposed in the theoretical frameworks are presented. A discussion on relevance and possible blind spots is then conducted.

CONCLUSION

Although they were a lot of proposal frameworks of KPI proposed in the last decades to assess healthcare organisations, some dimensions remain underrepresented. There is still a need to develop structure KPI and describe their links. To go further, the development of dashboards asks the question of the definition of KPI, the description of their interconnections and their temporality of driving, because static performance reporting systems are not able to completely satisfy healthcare manager's decision support needs.

Examining the relationship between patient experience and readmission rates: A profile deviation analysis

The purpose of this study is to examine the relationship between patient experience and readmissions by exploring whether the deviation from an ideal patient-experience profile is linked to higher readmissions. Using patient experience scores, hospitals were assigned to one of four groups based on their deviation from an ideal profile. The readmission rates for the four groups were analyzed using Profile Deviation, ANOVA, and Least Significant Difference. Patient experience is a central component of hospital performance, specifically, readmission rates. Findings indicate as patient experience scores decrease, profile deviation increases, with a corresponding increase in readmission rate. This study provides empirical support for administrators focusing on patient experience as part of an overall strategy for reducing hospital readmissions. The key feature of this research is the use of a profile deviation methodology to examine the relationship between patient experience and readmission rates.

Association between compliance with quality indicators and hospitalisation expenses in patients with heart failure: a retrospective study using quantile regression model in China

OBJECTIVE

To explore the association between compliance with quality indicators and hospitalisation expenses in patients with heart failure.

DESIGN

Generalised linear model and quantile regression model were used to examine the association between compliance with five quality indicators and hospitalisation expenses.

SETTING

Grade A hospital in Fujian Province, China.

PARTICIPANTS

Data on 2568 heart failure admissions between 2010 and 2015 were analysed.

RESULTS

The median (IQR) of hospitalisation expenses of 2568 patients was ¥10.9 (¥6.9-¥31.6) thousand. The rates of compliance with five quality indicators were 90.3% for evaluation of left ventricular function, 43.8% for diuretics, 62.0% for ACE inhibitors (ACEI) or angiotensin receptor blockers (ARB), 67.4% for beta-blockers, and 58.9% for aldosterone receptor antagonists. After adjustment for gender, age, residence, method of payment, number of diseases before admission, number of diseases at admission, number of emergency treatments during hospital stay and length of stay, patients who received evaluation for left ventricular function, diuretics, or ACEI or ARB had lower hospitalisation expenses, and patients who received beta-blockers had higher hospitalisation expenses, compared with their counterparts in generalised linear models. Differences in hospitalisation expenses between compliance and non-compliance with quality indicators became larger across quantile levels of hospitalisation expenses, and were found to be statistically significant when quantile level exceeded 0.80 (¥39.7 thousand) in quantile regression models.

CONCLUSIONS

The quality of care for patients with heart failure was below the target level. There was a negative relationship between compliance with quality indicators and hospitalisation expenses at the extreme quantile of expenses. More attention should be given to patients who may experience extreme expenses, and effective measures should be taken to improve the quality of care they receive.