Comparing Approaches to Measure Frailty in Medicare Data: Deficit-Accumulation Frailty Index Versus Phenotypic Frailty

Journals of Gerontology - Series A Biological Sciences and Medical Sciences

Volumn 73, Issue 7, 2018, Pages 989-990

  Kim, Dae Hyun ^a,b   Schneeweiss, Sebastian ^a   Glynn, Robert J ^a  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

^b BETH ISRAEL DEACONESS MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGED; FRAIL ELDERLY; FRAILTY; GERIATRIC ASSESSMENT; HUMAN; MEDICARE; PHENOTYPE; UNITED STATES;

AGED; FRAIL ELDERLY; FRAILTY; GERIATRIC ASSESSMENT; HUMANS; MEDICARE; PHENOTYPE; UNITED STATES;

EID: 85048817360     PISSN: 10795006     EISSN: 1758535X     Source Type: Journal    
DOI: 10.1093/gerona/gly054     Document Type: Letter

References (4)

1. Kim DH, Schneeweiss S, Glynn RJ, Lipsitz LA, Rockwood K, Avorn J. Measuring frailty in medicare data: development and validation of a claims-based frailty index. J Gerontol A Biol Sci Med Sci. 2018;73:980-987. doi:10.1093/gerona/glx229.
2. Segal JB, Chang H-Y, Du Y, Walston JD, Carlson MC, Varadhan R. Development of a claims-based frailty indicator anchored to a wellestablished frailty phenotype. Med Care. 2017;55:716-722. doi:10.1097/ MLR.0000000000000729
3. Kim DH, Schneeweiss S. Measuring frailty using claims data for pharmacoepidemiologic studies of mortality in older adults: evidence and recommendations. Pharmacoepidemiol Drug Saf. 2014;23:891-901. doi:10.1002/pds.3674
4. Tibshirani R. Regression shrinkage and selection via the lasso. J Roy Statist Soc Ser B. 1996;58:267-288.