000			01982nam a22002177a 4500
005			20250307144220.0
008			250304b2017 |||||||| |||| 00| 0 eng d
020			_a9781032242835
082			_a362.10727 BOT-A
100			_aBottle, Alex
245			_aStatistical methods for healthcare performance monitoring / _cAlex Bottle and Paul Aylin
260			_aBoca Raton _bCRC Press _c2017
300			_a269p.
440			_aChapman & Hall / CRC Biostatistics
500			_aHealthcare is important to everyone, yet large variations in its quality have been well documented both between and within many countries. With demand and expenditure rising, it’s more crucial than ever to know how well the healthcare system and all its components – from staff member to regional network – are performing. This requires data, which inevitably differ in form and quality. It also requires statistical methods, the output of which needs to be presented so that it can be understood by whoever needs it to make decisions. Statistical Methods for Healthcare Performance Monitoring covers measuring quality, types of data, risk adjustment, defining good and bad performance, statistical monitoring, presenting the results to different audiences and evaluating the monitoring system itself. Using examples from around the world, it brings all the issues and perspectives together in a largely non-technical way for clinicians, managers and methodologists. Statistical Methods for Healthcare Performance Monitoring is aimed at statisticians and researchers who need to know how to measure and compare performance, health service regulators, health service managers with responsibilities for monitoring performance, and quality improvement scientists, including those involved in clinical audits.
650			_aMedical Care Evaluation
650			_aMedical Statistics
650			_aMedical Care Quality Control
650			_aMedical Care Safety Management
700			_aAylin, Paul
999			_c93170 _d93170