Statistical methods for healthcare performance monitoring

What are different statistical methods used for monitoring and analysis?
There are several types of regression analysis commonly used in monitoring and evaluation, including linear regression, logistic regression, and multiple regression..
Health statistics are used to understand risk factors for communities, track and monitor health events such as diseases, see the impact of policy changes, and assess the quality and safety of health care.
The use of statistics allows clinical researchers to draw reasonable and accurate inferences from collected information and to make sound decisions in the presence of uncertainty.
Mastery of statistical concepts can prevent numerous errors and biases in medical research.

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.

Can statistical process control be used in patient-centered medical home models?

Statistical Process Control:

Possible Uses to Monitor and Evaluate Patient-Centered Medical Home Models This brief focuses on using statistical process control in studies of patient-centered medical home (PCMH) models

Can statistical process control improve clinical quality and practice management?

In addition to its many uses for clinical quality improvement and practice management, statistical process control holds promise as a statistically sound, easily interpretable approach for evaluations of PCMH interventions.

Cumulative Sum (CUSUM) Chart

CUSUM charts for monitoring process performance for a deterioration in quality over time are defined as:[10] The dichotomous outcome of observation y equals 0 for every success and 1 for every adverse event.
Observations are plotted in sequence of their temporal occurrence.
Depending on the outcome, the CUSUM decreases or remains at zero for every .

Defining The Control Limit

The CUSUM chart signals a process change when the CUSUM statistic exceeds a control limit.
The process should then be investigated for quality deficits and monitoring can restart by resetting the current CUSUM statistic [21].
Control limits should be set after careful consideration of the probability of a false alarm and true alarm.
As the alarm pr.

Factors Influencing CUSUM Chart Performance

Several factors influence the performance and characteristics of the CUSUM performance and are considered in the simulation study.
Some factors may be regarded as control switches of the monitoring schemes, as they are configurable and directly influence the control charts.
Other factors are mostly fixed by the process that is monitored.
Most of th.

What is statistical process control (SPC)?

Statistical process control (SPC) is a set of statistical methods based on the theory of variation that can be used to make sense of any process or outcome measured over time, usually with the intention of detecting improvement or maintaining a high level of performance.

What is Statistical Process Monitoring (SPM)?

Statistical Process Monitoring (SPM) is not typically used in traditional quality assurance of inpatient care.
While SPM allows a rapid detection of performance deficits, SPM results strongly depend on characteristics of the evaluated process.

Research Institute for Healthcare and Medical Management of Moscow Healthcare Department (NIIOZMM DZM) is a leading scientific organization of Moscow healthcare system that conducts research in healthcare development, continuous improvement and efficiency of management models in healthcare.