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2017 1
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2019 9
2020 2
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14 results

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Page 1
Predicting venous thromboembolism in multiple myeloma: development and validation of the IMPEDE VTE score.
Sanfilippo KM, Luo S, Wang TF, Fiala M, Schoen M, Wildes TM, Mikhael J, Kuderer NM, Calverley DC, Keller J, Thomas T, Carson KR, Gage BF. Sanfilippo KM, et al. Am J Hematol. 2019 Nov;94(11):1176-1184. doi: 10.1002/ajh.25603. Epub 2019 Aug 19. Am J Hematol. 2019. PMID: 31379000 Free PMC article.
We externally validated the score using the Surveillance, Epidemiology, End Results (SEER)-Medicare database (N = 4256). After identifying independent predictors of VTE, we combined the variables to develop the IMPEDE VTE score (Immunomodulatory agent; Body Mass Index 25 k …
We externally validated the score using the Surveillance, Epidemiology, End Results (SEER)-Medicare database (N = 4256). After identi …
Fragmentation of care as a barrier to optimal ESKD management.
Sloan CE, Zhong J, Mohottige D, Hall R, Diamantidis CJ, Boulware LE, Wang V. Sloan CE, et al. Semin Dial. 2020 Nov;33(6):440-448. doi: 10.1111/sdi.12929. Epub 2020 Oct 31. Semin Dial. 2020. PMID: 33128300
We then consider the impact of care fragmentation on ESKD care from the patient and health system perspectives and explore opportunities for system-level interventions aimed at improving care for patients with ESKD....
We then consider the impact of care fragmentation on ESKD care from the patient and health system perspectives and explore opportunit …
Variations in Costs of a Collaborative Care Model for Dementia.
Rosa TD, Possin KL, Bernstein A, Merrilees J, Dulaney S, Matuoka J, Lee KP, Chiong W, Bonasera SJ, Harrison KL, Kahn JG. Rosa TD, et al. J Am Geriatr Soc. 2019 Dec;67(12):2628-2633. doi: 10.1111/jgs.16076. Epub 2019 Jul 18. J Am Geriatr Soc. 2019. PMID: 31317539 Free PMC article.
SETTING: The University of California, San Francisco (UCSF) and the University of Nebraska Medical Center (UNMC). PARTICIPANTS: Participants diagnosed with dementia, enrolled in Medicare or Medicaid, 45 years of age or older, residents of California, Nebraska …
SETTING: The University of California, San Francisco (UCSF) and the University of Nebraska Medical Center (UNMC). PARTICIPANTS: Parti …
Psychometric evaluation of the Medicare Advantage and prescription drug plan disenrollment reasons survey.
Martino SC, Elliott MN, Zaslavsky AM, Orr N, Bogart A, Ye F, Damberg CL. Martino SC, et al. Health Serv Res. 2019 Aug;54(4):930-939. doi: 10.1111/1475-6773.13160. Epub 2019 Apr 26. Health Serv Res. 2019. PMID: 31025723 Free PMC article.
OBJECTIVES: To develop and assess the reliability and validity of composite measures of reasons for disenrollment from Medicare Advantage (MA) and prescription drug plans (PDPs). DATA SOURCE: Medicare beneficiaries who responded to the Medicare Advantage and …
OBJECTIVES: To develop and assess the reliability and validity of composite measures of reasons for disenrollment from Medicare Advan …
Imputation of race/ethnicity to enable measurement of HEDIS performance by race/ethnicity.
Haas A, Elliott MN, Dembosky JW, Adams JL, Wilson-Frederick SM, Mallett JS, Gaillot S, Haffer SC, Haviland AM. Haas A, et al. Health Serv Res. 2019 Feb;54(1):13-23. doi: 10.1111/1475-6773.13099. Epub 2018 Dec 3. Health Serv Res. 2019. PMID: 30506674 Free PMC article.
OBJECTIVE: To improve an existing method, Medicare Bayesian Improved Surname Geocoding (MBISG) 1.0 that augments the Centers for Medicare & Medicaid Services' (CMS) administrative measure of race/ethnicity with surname and geographic data to …
OBJECTIVE: To improve an existing method, Medicare Bayesian Improved Surname Geocoding (MBISG) 1.0 that augments the Centers f …
Geographic context of black-white disparities in Medicare CAHPS patient experience measures.
Fenton AT, Burkhart Q, Weech-Maldonado R, Haviland AM, Dembosky JW, Shih R, Wilson-Frederick SM, Gaillot S, Elliott MN. Fenton AT, et al. Health Serv Res. 2019 Feb;54 Suppl 1(Suppl 1):275-286. doi: 10.1111/1475-6773.13091. Epub 2018 Nov 23. Health Serv Res. 2019. PMID: 30467831 Free PMC article.
OBJECTIVE: To examine whether black-white patient experience disparities vary by geography and within-county contextual factors. DATA SOURCES: 321 300 Medicare beneficiaries responding to the 2015-2016 Medicare Consumer Assessment of Health care Providers and …
OBJECTIVE: To examine whether black-white patient experience disparities vary by geography and within-county contextual factors. DATA SOURCE …
The Wellness Incentive and Navigation intervention improved health-related quality of life among Medicaid enrollees: A randomized pragmatic clinical trial.
Guo Y, Vogel WB, Muller KE, Stoner D, Huo T, Shenkman EA. Guo Y, et al. Health Serv Res. 2019 Dec;54(6):1156-1165. doi: 10.1111/1475-6773.13235. Epub 2019 Oct 22. Health Serv Res. 2019. PMID: 31642066 Free PMC article. Clinical Trial.
OBJECTIVE: To examine whether the Wellness Incentive and Navigation (WIN) intervention can improve health-related quality of life (HRQOL) among Medicaid enrollees with co-occurring physical and behavioral health conditions. ...PRINCIPAL FINDINGS: Our results …
OBJECTIVE: To examine whether the Wellness Incentive and Navigation (WIN) intervention can improve health-related quality of life (HR …
New approaches to measuring the comprehensiveness of primary care physicians.
O'Malley AS, Rich EC, Shang L, Rose T, Ghosh A, Poznyak D, Peikes D. O'Malley AS, et al. Health Serv Res. 2019 Apr;54(2):356-366. doi: 10.1111/1475-6773.13101. Epub 2019 Jan 6. Health Serv Res. 2019. PMID: 30613955 Free PMC article.
OBJECTIVE: To develop claims-based measures of comprehensiveness of primary care physicians (PCPs) and summarize their associations with health care utilization and cost. DATA SOURCES AND STUDY SETTING: A total of 5359 PCPs caring for over 1 million Medicare fee-for …
OBJECTIVE: To develop claims-based measures of comprehensiveness of primary care physicians (PCPs) and summarize their associations with …
The effects of survey version on patient experience scores and plan rankings.
Beckett MK, Elliott MN, Burkhart Q, Cleary PD, Orr N, Brown JA, Gaillot S, Liu K, Hays RD. Beckett MK, et al. Health Serv Res. 2019 Oct;54(5):1016-1022. doi: 10.1111/1475-6773.13172. Epub 2019 May 31. Health Serv Res. 2019. PMID: 31149737 Free PMC article.
OBJECTIVE: To assess the effect of changing survey questions on plan-level patient experience measures and ratings. DATA SOURCE: 2015 Medicare Advantage CAHPS Survey respondents. STUDY DESIGN: Ninety three randomly selected beneficiaries in each of 40 MA plans received a r …
OBJECTIVE: To assess the effect of changing survey questions on plan-level patient experience measures and ratings. DATA SOURCE: 2015 Med …
A cross-sectional study assessing the association between online ratings and clinical quality of care measures for US hospitals: results from an observational study.
Emmert M, Meszmer N, Schlesinger M. Emmert M, et al. BMC Health Serv Res. 2018 Feb 5;18(1):82. doi: 10.1186/s12913-018-2886-3. BMC Health Serv Res. 2018. PMID: 29402321 Free PMC article.
Next, we matched the online ratings with hospital-level quality measures published by the Centers for Medicare and Medicaid Services. Regarding nominally scaled measures, we checked for differences in the distribution among the online rat …
Next, we matched the online ratings with hospital-level quality measures published by the Centers for Medicare and …
14 results