A new algorithm to build bridges between two patient-reported health outcome instruments: the MOS SF-36® and the VR-12 Health Survey.
Purpose: To develop bridging algorithms to score the Veterans Rand-12 (VR-12) scales for comparability to those of the SF-36® for facilitating multi-cohort studies using data from the National Cancer Institute Surveillance, Epidemiology, and End Results Program (SEER) linked to Medicare Health Outco...
| Publicado en: | Quality of Life Research Vol. 27; no. 8; pp. 2195 - 2207 |
|---|---|
| Autores principales: | , , , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
Aug2018
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=130603066&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 130603066 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09629343 GPQ jtl: Quality of Life Research issn: 09629343 maglogo: N pubinfo: dt: Aug2018 vid: 27 iid: 8 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 130603066 130603066 NLM29675690 130603066 10.1007/s11136-018-1850-3 NLM29675690 130603066 ppf: 2195 ppct: 12 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: A new algorithm to build bridges between two patient-reported health outcome instruments: the MOS SF-36® and the VR-12 Health Survey. aug: au: Selim, Alfredo Rogers, William Qian, Shirley Rothendler, James A. Kent, Erin E. Kazis, Lewis E. affil: Center for the Assessment of Pharmaceutical Practices (CAPP), Department of Health Law, Policy and Management, Boston University School of Public Health, Boston, MA, USA sug: subj: Algorithms Instrument Construction Research Methodology Outcomes (Health Care) Human Funding Source Nonexperimental Studies Aged Self Report Short Form-36 Health Survey (SF-36) Questionnaires Cluster Analysis Aged: 65+ years ab: Purpose: To develop bridging algorithms to score the Veterans Rand-12 (VR-12) scales for comparability to those of the SF-36® for facilitating multi-cohort studies using data from the National Cancer Institute Surveillance, Epidemiology, and End Results Program (SEER) linked to Medicare Health Outcomes Survey (MHOS), and to provide a model for minimizing non-statistical error in pooled analyses stemming from changes to survey instruments over time.Methods: Observational study of MHOS cohorts 1-12 (1998-2011). We modeled 2-year follow-up SF-36 scale scores from cohorts 1-6 based on baseline SF-36 scores, age, and gender, yielding 100 clusters using Classification and Regression Trees. Within each cluster, we averaged follow-up SF-36 scores. Using the same cluster specifications, expected follow-up SF-36 scores, based on cohorts 1-6, were computed for cohorts 7-8 (where the VR-12 was the follow-up survey). We created a new criterion validity measure, termed "extensibility," calculated from the square root of the mean square difference between expected SF-36 scale averages and observed VR-12 item score from cohorts 7-8, weighted by cluster size. VR-12 items were rescored to minimize this quantity.Results: Extensibility of rescored VR-12 items and scales was considerably improved from the "simple" scoring method for comparability to the SF-36 scales.Conclusions: 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. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|