Nordic Nutritional Academy, Sommarøy, May 26 2015 http://rpubs.com/biorakel/nna2015

About

SKDE / CCDE

Center for Clinical Documentation and Evaluation

  • Part of Nothern Norway Health trust
  • National competence centre for medical quality registries
  • People: wide range of professions
  • National tasks: distributed organization

Me

  • Advisor at CCDE since 2010
  • Spent a few years as a software programmer
  • Trained marine zoologist
  • Very litle knowledge of nutrition…
  • Enjoy running, alot

Side track (maybe even off topic)

Medical quality registries

Definition

MQR contians a limited set of variables suitable for measuring quality of a given treatment

Examples of varaibles to be used for quality measurements

Reported by the patient

  • Patient Reported Outcome Measures (PROM, e.g. pain, mobility, sexual functioning)
  • Patient Reported Experience Measures (PREM, e.g. usability, satisfaction)

Reported by the health care workers

  • Treatment according to guidelines?
  • Inpatient period
  • Infection?
  • Re-operation?

Examples of varaibles to be used for quality measurements, cont.

Other sources

  • Mortality (e.g. 30 days)

Additional and important variables

  • Gender
  • Age
  • Socioeconomic status (income, education, occupation)
  • Comorbidity

Why MQR?

  • Relevant (clinical) varaibles are not found in the health record or other existing registries
  • Data must be collected from multiple hospitals/organizations
  • Need for PROM/PREM data
  • Provide focus on improvements on a speciffic topic

Collecting data

Reporting/results

Hurdles

Health care workers

  • are (in addition to patients) the primary source for data to MQR
  • are the primary target of MQR results and "doers" with regard quality improvements
  • treat patients INDIVIDUALLY

MQR

  • MQR "treat" GROUPS of patients, providing STATISTICS
  • MQR does not provide quality improvements, buth rather fundamental data and analysis (documentation) to be used in quality improvement projects
  • Actual improvement of health care quality is probably the hardest part of the job…

Lies, damned lies, and STATISTICS

  • Assessment of quality cannot be inferred from single observations
  • Measures (of quality) must be based upon a sufficient number of observations
  • Multiple factors (both known and unknown) are likely to bias measurements. Sometimes, these can be adjusted for.
  • Great care must be taken when interpreting and presenting results

Measurement of PAIN at hospital A

##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##     1.0     3.4     4.2     4.0     4.7     6.3

Measurement of PAIN at hospital B

##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##     2.5     3.9     4.4     4.4     5.1     7.2

Is B more PAINFUL?

The STATS

## 
##  Welch Two Sample t-test
## 
## data:  d1 and d2
## t = -2.5831, df = 150.883, p-value = 0.01074
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.66427812 -0.08849165
## sample estimates:
## mean of x mean of y 
##  4.038581  4.414966

Resources

Norway

Denmark

Sweden

Finland

???

Closing remarks

Quality assessment versus research

  • Quality assessemnt must be based on "scientiffic" methods
  • MQRs are excellent data sources for research projects
  • However, legal regulation can be quite different between quality assessment and research

Thank you for the attention

Enjoy your stay at Sommarøy!