Improving the Healthcare Quality Measurement System Using Attribute Agreement Analysis Assessing the Presence and Stage of Pressure Ulcers

  •  Sandra L. Furterer    
  •  Ethling Hernandez    


Measurement Systems Analysis has recently been used in healthcare service processes mainly to assess the accuracy and use of equipment and devices. However, thirty-seven percent of emergency department healthcare malpractice claims were related to diagnosis errors. Diagnosis is heavily dependent upon human assessment and decisions. The paper describes the application of a healthcare case study that applied Measurement Systems Analysis Attribute Agreement Analysis and Gage R&R studies to assess the accuracy of the human element in a healthcare service process. The study was used to assess the accuracy of the diagnosis of pressure ulcers when patients are admitted to the hospital, either through the emergency department or directly through inpatient admitting. Creating an accurate and precise measurement system aided the hospital by standardizing the assessment of the pressure ulcer healthcare diagnosis process. Initial Attribute Agreement Analysis of whether a pressure ulcer was present resulted in a 94% assessor repeatability accuracy rate, and a 40% within assessor reproducibility accuracy. The within appraiser accuracy to the standard was 92%, and across assessors’ assessment to the standard was 40%. The measurement system was poorer for assessing the pressure ulcer stages, resulting in 82% within assessor repeatability accuracy and an 8% overall accuracy to standard. This study is extremely important to 1) identify a method for healthcare providers to assess and improve the measurement system related to human diagnoses in healthcare processes; and 2) to demonstrate the usefulness of expanding gage R&R and attribute agreement analysis to human diagnosis in healthcare settings.

This work is licensed under a Creative Commons Attribution 4.0 License.
  • ISSN(Print): 1927-7032
  • ISSN(Online): 1927-7040
  • Started: 2012
  • Frequency: bimonthly

Journal Metrics

  • h-index (December 2021): 20
  • i10-index (December 2021): 51
  • h5-index (December 2021): N/A
  • h5-median(December 2021): N/A

( The data was calculated based on Google Scholar Citations. Click Here to Learn More. )