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For each subset of items, we then calculated a short-version domain score following the KCCQ scoring methodology and examined how closely the short score tracked with the corresponding full-version score.
We used Lin’s concordance correlation coefficient, which measures the agreement between 2 variables; concordance values range from −1 (perfect negative agreement) to 1 (perfect positive agreement), with 0 denoting no agreement.
For each of the 3 remaining domains, we sought to select items that would maximize comparability between the short and full versions of their domain score.
To accomplish this, we examined multiple versions constructed by selecting different possible subsets of items.
Item responses are coded sequentially (1, 2, 3, etc.) from worst to best status.
Scores are generated for each domain and scaled from 0 to 100, with 0 denoting the worst and 100 the best possible status.
Quantifying patients’ perspectives about the degree to which their heart failure (HF) impacts their health status (their symptoms, function, and quality of life) is becoming an increasingly important outcome in clinical trials, quality assessment, and clinical care.
Transitioning PROs from outcomes in clinical trials, where the studies pay for additional data collection, to routine clinical care requires that the measures be short and feasible to collect, while also retaining the important psychometric properties of validity, reliability, sensitivity to clinical change, prognostic importance, and interpretability. Editorial see p 460Given the importance of being able to accurately and objectively assess patients’ health status and prognosis using a low-cost, noninvasive strategy, we sought to develop a shorter version of the KCCQ that preserves the psychometric and prognostic properties of the original instrument.
For the physical limitation domain, which covers low, moderate, and high intensity activities (2 items each), we sought to preserve the range of activities represented by selecting one item from each level of exertional demand, resulting in 8 possible subsets.
For the quality of life and social limitation domains, we considered all possible subsets of items (omitting the “intimate relationships” item from the latter domain as a result of high nonresponse rates), yielding 6 and 7 subsets, respectively.
In addition, an overall summary KCCQ score was derived as the average of the 4 domain scores, as in the full KCCQ.
Across the 3 clinical settings, we conducted a series of analyses in the independent, validation samples to evaluate construct validity, predictive validity, reproducibility, and responsiveness and to calculate minimal clinically important differences for the short KCCQ scores.
Parallel analyses were conducted for the full KCCQ for comparison.Tags: Adult Dating, affair dating, sex dating