Literature DB >> 30647824

Alternative Payment Models in Medical Oncology: Assessing Quality-of-Care Outcomes Under Partial Capitation.

Derek Ems1, Sharanya Murty2, Bryan Loy3, Judith Gallagher4, Laura E Happe5, Teresa L Rogstad6, Debra Finnel7, Jimmy D Fernandez8.   

Abstract

BACKGROUND: Alternative payment models (APMs) in healthcare are emerging that reward quality of care over quantity of services. Most bundled payment programs that are described in published studies are related to episodes for a surgical inpatient hospital stay. With outpatient services, monthly capitated payments are an alternative to bundled payments for specialty services.
OBJECTIVE: To assess the association of a capitated contractual arrangement between a primary care physician group and an oncology clinic group with the quality of care received.
METHODS: We evaluated the effect of an oncology group's transition from a fee-for-service (FFS) arrangement to a partial-capitated-payment model with a primary care group. We compared outcomes for patients who received treatment after implementation of the new arrangement (ie, postcontract capitated group) with outcomes of patients receiving treatment before the change (ie, precontract capitated group). In addition, we conducted a parallel analysis of patients from a population that was not affected by the contract to assess temporal effects (ie, postcontract FFS group vs precontract FFS group). All patients were enrolled in Medicare Advantage plans of a single health plan (ie, Humana), and outcomes were measured using claims data provided by that company. Patients in the 2 precontract groups received treatment between July 1, 2010, and June 30, 2011; patients in the 2 postcontract groups received treatment between January 1, 2013, and December 31, 2013. Age- and sex-adjusted all-cause hospitalization, complications from cancer treatment, and ambulance transfers during 6 months of follow-up were evaluated.
RESULTS: In the population subject to the partial-capitated-payment model, the postcontract group (N = 305) was younger than the precontract group (N = 165). In a subset of patients in the 2 capitated groups who had Deyo-Charlson Comorbidity Index (CCI) RxRisk scores, the postcontract capitated group had significantly higher CCI scores. Adjusted odds ratios for the postcontract capitated group versus the precontract capitated group showed no difference in the likelihood that any of the outcomes would occur. However, the mean number of chemotherapy-related complications and ambulance transports were greater postcontract. In the parallel analysis of the population not affected by the new payment arrangement, no differences were found between the pre- and postcontract groups. This suggests that temporal changes potentially affecting patients in the capitated and FFS populations would not have influenced postcontract outcomes.
CONCLUSIONS: After the implementation of partial-capitated payments for medical oncology services in the oncology practice, the likelihood of a patient experiencing at least 1 event of a specific adverse outcome did not change; however, the average number of some adverse events did increase, which may in part be explained by a higher level of underlying morbidity in the postcontract group. The overall findings of this study suggest that quality of care was not compromised in this APM.

Entities:  

Keywords:  Medicare Advantage plans; alternative payment models; ambulance transport; bundled payments; capitated payment; chemotherapy-related complications; oncology service; partial-capitated payment; primary care; quality of care

Year:  2018        PMID: 30647824      PMCID: PMC6306101     

Source DB:  PubMed          Journal:  Am Health Drug Benefits        ISSN: 1942-2962


  28 in total

1.  Risk sharing in managed behavioral health care.

Authors:  M B Rosenthal
Journal:  Health Aff (Millwood)       Date:  1999 Sep-Oct       Impact factor: 6.301

2.  Risk sharing and the supply of mental health services.

Authors:  M B Rosenthal
Journal:  J Health Econ       Date:  2000-11       Impact factor: 3.883

3.  Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases.

Authors:  R A Deyo; D C Cherkin; M A Ciol
Journal:  J Clin Epidemiol       Date:  1992-06       Impact factor: 6.437

4.  Development of a comorbidity index using physician claims data.

Authors:  C N Klabunde; A L Potosky; J M Legler; J L Warren
Journal:  J Clin Epidemiol       Date:  2000-12       Impact factor: 6.437

5.  Adjuvant chemotherapy and risk of gastrointestinal, hematologic, and cardiac toxicities in elderly patients with stage III colon cancer.

Authors:  Chung-Yuan Hu; Wenyaw Chan; George P Delclos; Xianglin L Du
Journal:  Am J Clin Oncol       Date:  2012-06       Impact factor: 2.339

6.  The implications of hospital acquired adverse events on mortality, length of stay and costs for patients undergoing radical cystectomy for bladder cancer.

Authors:  Simon P Kim; Nilay D Shah; R Jeffrey Karnes; Christopher J Weight; Igor Frank; James P Moriarty; Leona C Han; Bijan Borah; Matthew K Tollefson; Stephen A Boorjian
Journal:  J Urol       Date:  2012-04-11       Impact factor: 7.450

7.  Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data.

Authors:  Hude Quan; Vijaya Sundararajan; Patricia Halfon; Andrew Fong; Bernard Burnand; Jean-Christophe Luthi; L Duncan Saunders; Cynthia A Beck; Thomas E Feasby; William A Ghali
Journal:  Med Care       Date:  2005-11       Impact factor: 2.983

8.  Predicting costs of care using a pharmacy-based measure risk adjustment in a veteran population.

Authors:  Anne E Sales; Chuan-Fen Liu; Kevin L Sloan; Jesse Malkin; Paul A Fishman; Amy K Rosen; Susan Loveland; W Paul Nichol; Norman T Suzuki; Edward Perrin; Nancy D Sharp; Jeffrey Todd-Stenberg
Journal:  Med Care       Date:  2003-06       Impact factor: 2.983

9.  Risk adjustment using automated ambulatory pharmacy data: the RxRisk model.

Authors:  Paul A Fishman; Michael J Goodman; Mark C Hornbrook; Richard T Meenan; Donald J Bachman; Maureen C O'Keeffe Rosetti
Journal:  Med Care       Date:  2003-01       Impact factor: 2.983

10.  Comparative clinical effectiveness of various 5-HT3 RA antiemetic regimens on chemotherapy-induced nausea and vomiting associated with hospital and emergency department visits in real world practice.

Authors:  Hind T Hatoum; Swu-Jane Lin; Deborah Buchner; David Cox
Journal:  Support Care Cancer       Date:  2011-05-01       Impact factor: 3.603

View more
  4 in total

Review 1.  Value and affordability of CAR T-cell therapy in the United States.

Authors:  Salvatore Fiorenza; David S Ritchie; Scott D Ramsey; Cameron J Turtle; Joshua A Roth
Journal:  Bone Marrow Transplant       Date:  2020-05-30       Impact factor: 5.483

2.  The impact of provider payment reforms and associated care delivery models on cost and quality in cancer care: A systematic literature review.

Authors:  Mina Nejati; Moaven Razavi; Iraj Harirchi; Kazem Zendehdel; Parisa Nejati
Journal:  PLoS One       Date:  2019-04-05       Impact factor: 3.240

3.  Has the Affordable Care Act Been Associated with Increased Insurance Coverage and Early-stage Diagnoses of Bone and Soft-tissue Sarcomas in Adults?

Authors:  Azeem Tariq Malik; John Alexander; Safdar N Khan; Thomas J Scharschmidt
Journal:  Clin Orthop Relat Res       Date:  2021-03-01       Impact factor: 4.755

Review 4.  The "Hip Fracture" Bundle-Experiences, Challenges, and Opportunities.

Authors:  Azeem Tariq Malik; Safdar N Khan; Thuan V Ly; Laura Phieffer; Carmen E Quatman
Journal:  Geriatr Orthop Surg Rehabil       Date:  2020-03-05
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.