Browse or search for publications about the development and use of CAHPS surveys and other topics related to assessing patients’ experiences with care.
Handley SC, Bell S, Nembhard IM. A systematic review of surveys for measuring patient-centered care in the hospital setting. Med Care. 2021 March, 59(3): 228-237. https://pubmed.ncbi.nlm.nih.gov/33229897/
Forcino RC, Thygeson M, O'Malley AJ, et al. Measuring patient-reported shared decision-making to promote performance transparency and value-based payment: assessment of collaboRATE's group-Level reliability. Journal of Patient Experience. 2020 Oct, 7(5): 742-748. https://pubmed.ncbi.nlm.nih.gov/33294610/
Burkhart Q, Orr N, Brown JA, et al. Associations of Mail Survey Length and Layout With Response Rates. Med Care Res Rev. 2019 Novhttps://pubmed.ncbi.nlm.nih.gov/31747849
Setodji CM, Peipert JD, Hays RD. Differential item functioning of the CAHPS In-center Hemodialysis Survey. Qual Life Res. 2019 Nov, 28(11): 3117-3135. https://pubmed.ncbi.nlm.nih.gov/31350653
Cefalu MS, Elliott MN, Setodji CM, et al. Hospital quality indicators are not unidimensional: a reanalysis of Lieberthal and Comer. Health Serv Res. 2019 Apr, 54(2): 502-508. https://pubmed.ncbi.nlm.nih.gov/30259508
Hatfield LA, Zaslavsky AM. Separable covariance models for health care quality measures across years and topics. Stat Med. 2018 May 30, 37(12): 2053-2066. https://pubmed.ncbi.nlm.nih.gov/29609196
Fenton JJ, Jerant A, Kravitz RL, et al. Reliability of physician-level measures of patient experience in primary care. J Gen Intern Med. 2017 Dec, 32(12): 1323-1329. https://pubmed.ncbi.nlm.nih.gov/28900821
Silvera GA, Clark JR. Patient evaluations of the interpersonal care experience (ICE) in U.S. hospitals: A factor analysis of the HCAHPS survey. Patient Experience Journal. 2016 Spring, 3(1): 101-109. http://pxjournal.org/journal/vol3/iss1/13
Weech-Maldonado R, Elliott MN, Adams JL, et al. Do Racial/Ethnic Disparities in Quality and Patient Experience within Medicare Plans Generalize across Measures and Racial/Ethnic Groups?. Health Serv Res. 2015 Dec, 50(6): 1829-49. https://pubmed.ncbi.nlm.nih.gov/25757356
Xu XI, Buta EU, Price RA, et al. Methodological considerations when studying the association between patient-reported care experiences and mortality. Health Serv Res. 2015 Aug, 50(4): 1146-1161. https://pubmed.ncbi.nlm.nih.gov/25483571
Wood R, Paoli CJ, Hays RD, et al. Evaluation of non-response to the Consumer Assessment of Healthcare Providers and Systems In-Center Hemodialysis Survey (CAHPS-ICH). Clin J Am Soc Nephrol. 2014 June, 9(6): 1099-1108. https://pubmed.ncbi.nlm.nih.gov/24832092
Mukherjee S, Rodriguez HP, Elliott MN, et al. Modern psychometric methods for estimating physician performance on the Clinician and Group CAHPS Survey. Health Serv Outcomes Res Methodol. 2013 Dec, 13(2.4): 109-23. http://rd.springer.com/article/10.1007/s10742-013-0111-8
Dembosky JW, Haviland AM, Elliott MN, et al. Does naming the focal plan in a CAHPS survey of health care quality affect response rates and beneficiary evaluations?. Public Opin Q. 2013 June, 77(2): 455-73.
Dyer N, Sorra JS, Smith SA, et al. Psychometric properties of the Consumer Assessment of Healthcare Providers and Systems (CAHPS) Clinician and Group Adult Visit Survey. Med Care. 2012 Nov, 50(Suppl): S28-34. https://pubmed.ncbi.nlm.nih.gov/23064274
Scholle SH, Vuong O, Ding L, et al. Development of and field-test results for the CAHPS PCMH Survey. Med Care. 2012 Nov, 50(Suppl): S2-10. https://pubmed.ncbi.nlm.nih.gov/23064272
Klein DJ, Elliott MN, Haviland AM, et al. Understanding nonresponse to the 2007 Medicare CAHPS Survey. Gerontologist . 2011 Dec, 51(6): 843-55. https://pubmed.ncbi.nlm.nih.gov/21700769
Palsbo SE, Diao G, Palsbo GA, et al. Case-mix adjustment and enabled reporting of the health care experiences of adults with disabilities. Arch Phys Med Rehabil. 2010 Sept, 91(9): 1339-46. https://pubmed.ncbi.nlm.nih.gov/20801250
Elliot MN, Haviland AM, Kanouse DE, et al. Adjusting for subgroup differences in extreme response tendency when rating health care: impact on disparity estimates. Health Serv Res. 2009 Apr, 44(1): 542-61. https://pubmed.ncbi.nlm.nih.gov/19040424
Eselius LL, Zaslavsky AM, Huskamp HA, et al. Casemix adjustment of consumer reports about managed behavioral health care and health plans. Health Serv Res. 2008 Dec, 43(6): 2014-32. https://pubmed.ncbi.nlm.nih.gov/18783456
McCaffrey DF, Elliott MN. Power of tests for a dichotomous independent variable measured with error. Health Serv Res. 2008 June, 43(3): 1085-1101. https://pubmed.ncbi.nlm.nih.gov/18454782
Elliott MN, Beckett MK, Chong K, et al. How do proxy responses and proxy-assisted responses differ from what Medicare beneficiaries might have reported after their health care?. Health Serv Res. 2008 June, 43(3): 833-48. https://pubmed.ncbi.nlm.nih.gov/18454770
Rodriguez HP, von Glahn T, Chang H, et al. Patient samples for measuring primary care physician performance: who should be included?. Med Care. 2007 Oct, 45(10): 989-96. https://pubmed.ncbi.nlm.nih.gov/17890997
Zaslavsky AM. Using hierarchical models to attribute sources of variation in consumer assessments of health care. Stat Med. 2007 Apr, 26(8): 1885-1900. https://pubmed.ncbi.nlm.nih.gov/17221833
Elliott MN, Zaslavsky AM, Cleary PD. Are finite population corrections appropriate when profiling institutions?. Health Serv Res. 2006 Nov, 6: 153-6.
Hays RD, Brown JA, Brown LU, et al. Classical test theory and item response theory analyses of multi-item scales assessing parents perception of dental care. Med Care. 2006 Nov, 44(11 Suppl 3): S60-8. https://pubmed.ncbi.nlm.nih.gov/17060837
Reise SP, Meijer RR, Ainsworth AT, et al. Application of group-level item response models in the evaluation of consumer reports about health plan quality. Multivar Behav Res. 2006 Mar, 41(1): 85-102. https://pubmed.ncbi.nlm.nih.gov/26788896
Arah OA, ten Asbroek AH, Delnoij DM, et al. Psychometric properties of the Dutch version of the hospital-level Consumer Assessment of Health Plans Survey instrument. Health Serv Res. 2006 Feb, 41(1): 284-301. https://pubmed.ncbi.nlm.nih.gov/16430612
O'Malley AJ, Zaslavsky AM, Elliot MN, et al. Case-mix adjustment of the CAHPS Hospital Survey. Health Serv Res. 2005 Dec, 40(6 Pt 2): 2162-81. https://pubmed.ncbi.nlm.nih.gov/16316443
O'Malley AJ, Zaslavsky AM, Hays RD, et al. Exploratory factor analyses of the CAHPS Hospital Pilot Survey responses across and within medical, surgical, and obstetric services. Health Serv Res. 2005 Dec, 40(6 Pt 2): 2078-95. https://pubmed.ncbi.nlm.nih.gov/16316439
Elliott MN, Edwards C, Angeles J, et al. Patterns of unit and item nonresponse in the CAHPS Hospital Survey. Health Serv Res. 2005 Dec, 40(6 Pt 2): 2096-2119. https://pubmed.ncbi.nlm.nih.gov/16316440
Gallagher PM, Fowler FJ, Stringfellow VL. The nature of nonresponse in a Medicaid survey: causes and consequences. J Off Stat. 2005 Mar, 21(1): 73-87. https://pubmed.ncbi.nlm.nih.gov/11260954
Kim M, Zaslavsky AM, Cleary PD. Adjusting pediatric CAHPS scores to ensure fair comparison of health plan performances. Med Care. 2005 Jan, 43(1): 44-52. https://pubmed.ncbi.nlm.nih.gov/15626933
Solomon LS, Hays RD, Zaslavsky AM, et al. Psychometric properties of a group-level CAHPS instrument. Med Care. 2005 Jan, 43(1): 53-60. https://pubmed.ncbi.nlm.nih.gov/15626934
Nelson EC, Gentry MA, Mook KH, et al. How many patients are needed to provide reliable evaluations of individual clinicians?. Med Care. 2004 Mar, 42(3): 259-66. https://pubmed.ncbi.nlm.nih.gov/15076825
Hargraves JL, Hays RD, Cleary PD. Psychometric properties of the consumer assessment of health plans study (CAHPS) 2.0 adult core survey. Health Serv Res. 2003 Dec, 38(6 pt 1): 1509-1527. https://pubmed.ncbi.nlm.nih.gov/14727785
Morales S, Weech-Maldonado R, Elliott MN, et al. Psychometric properties of the Spanish Consumer Assessment of Health Plans Survey (CAHPS). Hispanic J Behav Sci. 2003 Aug, 25(3): 386-409. http://hjb.sagepub.com/content/25/3/386.short
Zaslavsky AM, Zaborski LB, Cleary PD. Factors affecting response rates to the Consumer Assessment of Health Plans Study survey. Med Care. 2002 June, 40(6): 485-99. https://pubmed.ncbi.nlm.nih.gov/12021675
Fowler FJ, Gallagher PM, Stringfellow VL, et al. Using telephone interviews to reduce nonresponse bias to mail surveys of health plan members. Med Care. 2002 Mar, 40(3): 190-200. https://pubmed.ncbi.nlm.nih.gov/11880792
Zaslavsky AM. Statistical issues in reporting quality data: small samples and casemix variation. Int J Qual Health Care. 2001 Dec, 13(6): 481-8. https://pubmed.ncbi.nlm.nih.gov/11769751
Elliott N, Swartz R, Adams J, et al. Case-mix adjustment of the National CAHPS benchmarking data 1.0: a violation of model assumptions?. Health Serv Res. 2001 July, 36(3): 555-73. https://pubmed.ncbi.nlm.nih.gov/11482589
Morales LS, Elliott MN, Weech-Maldonado R, et al. Differences in CAHPS adult survey reports and ratings by race and ethnicity: an analysis of the National CAHPS benchmarking data 1.0. Health Serv Res. 2001 July, 36(3): 595-617. https://pubmed.ncbi.nlm.nih.gov/11482591
Marshall GN, Morales LS, Elliott MN, et al. Confirmatory factor analysis of the Consumer Assessment of Health Plans Study (CAHPS) 1.0 Core Survey. Psychol Assess. 2001 June, 13(2): 216-29. https://pubmed.ncbi.nlm.nih.gov/11433796
Zaslavsky AM, Zaborski LB, Ding L, et al. Adjusting performance measures to ensure equitable plans comparisons. Health Care Financ Rev. 2001 Spring, 22(3): 109-26. https://pubmed.ncbi.nlm.nih.gov/25372572
Hays RD, Shaul JA, Williams VS, et al. Psychometric properties of the CAHPS 1.0 survey measures. Med Care. 1999 Mar, 37(3 Suppl): MS22-31. https://pubmed.ncbi.nlm.nih.gov/10098556