2018
DOI: 10.1007/s11136-018-1850-3
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A new algorithm to build bridges between two patient-reported health outcome instruments: the MOS SF-36® and the VR-12 Health Survey

Abstract: The algorithms are appropriate across a wide range of potential subsamples within the MHOS and provide robust application for future studies that span the SF-36 and VR-12 eras. It is possible that these surveys in a different setting outside the MHOS, especially in younger age groups, could produce somewhat different results.

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Cited by 47 publications
(34 citation statements)
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“…We used an NCI algorithm to create comparable subscale and summary scores to combine data for those who completed the SF-36 in 1998–2005 with those who completed the VR-12 in 2006–2013 [21]. Subscales, MCs and PCS were normed with mean of 50 and SD of 10 in the U.S general population with higher scores representing better HRQOL.…”
Section: Methodsmentioning
confidence: 99%
“…We used an NCI algorithm to create comparable subscale and summary scores to combine data for those who completed the SF-36 in 1998–2005 with those who completed the VR-12 in 2006–2013 [21]. Subscales, MCs and PCS were normed with mean of 50 and SD of 10 in the U.S general population with higher scores representing better HRQOL.…”
Section: Methodsmentioning
confidence: 99%
“…Survey responses from 8 individual scales (bodily pain, general health, mental health, physical functioning, role emotional, role physical, social functioning and vitality) are summarized and normed to the U.S. general population to generate aggregate scores (23). To account for the transition between survey instruments in 2006, algorithms correcting for response shifts between the SF-36 and VR-12 for the PCS, MCS, and the 8 individual scales included in each measure were developed to harmonize the scores over the different survey instrument administration eras (24).…”
Section: Outcome Measuresmentioning
confidence: 99%
“…Similarly, plans assessing trends in their own CAHPS scores should adjust for potential changes due to differences in survey versions. Methods for such adjustments have been presented elsewhere . If maintaining trending for absolute scores is of interest, the differences from the randomized version experiment presented in Table could be used as trending adjustments.…”
Section: Discussionmentioning
confidence: 99%
“…Methods for such adjustments have been presented elsewhere. 17,18 If maintaining trending for absolute scores is of interest, the differences from the randomized version experiment presented in Table 2 could be used as trending adjustments.…”
Section: Discussionmentioning
confidence: 99%