Literature DB >> 26892700

Understanding Patient, Provider, and System Factors Related to Medicaid Readmissions.

H Joanna Jiang1, Amy E Boutwell, James Maxwell, Angel Bourgoin, Marsha Regenstein, Ellie Andres.   

Abstract

BACKGROUND: Efforts on reducing hospital readmissions, which are intended to improve quality and reduce costs, tend to focus on elderly Medicare beneficiaries without recognition of another high-risk population--adult nonmaternal Medicaid patients. This study was undertaken to understand the complexity of Medicaid readmission issues at the patient, provider, and system levels.
METHODS: Multiple qualitative methods, including site visits to nine safety-net hospitals, patient/family/caregiver inter views, and semistructured interviews with health plans and state Medicaid agencies, were used in 2012 and 2013 to obtain information on patient, provider, and system issues related to Medicaid readmissions; strategies considered or currently used to address those issues; and any perceived financial, regulatory or, other policy factors inhibiting or facilitating readmission reduction efforts.
RESULTS: Significant risk factors for Medicaid readmissions included financial stress, high prevalence of mental health and substance abuse disorders, medication nonadherence, and housing instability. Lacking awareness on Medicaid patients' high risk, a sufficient business case, and proven strategies for reducing readmissions were primary barriers for providers. Major hurdles at the system level included shortage of primary care and mental health providers, lack of coordination among providers, lack of partnerships between health plans and providers, and limited data capacity for realtime monitoring of readmissions.
CONCLUSIONS: The intertwining of behavioral, socioeconomic, and health factors; the difficulty of accessing appropriate care in the outpatient setting; the lack of clear financial incentives for health care providers to reduce readmissions; and the fragmentation of the current health care system warrant greater attention and more concerted efforts from all stakeholders to reduce Medicaid readmissions.

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Year:  2016        PMID: 26892700     DOI: 10.1016/s1553-7250(16)42014-3

Source DB:  PubMed          Journal:  Jt Comm J Qual Patient Saf        ISSN: 1553-7250


  7 in total

1.  Readmission Rates and Diagnoses Following Total Hip Replacement in Relation to Insurance Payer Status, Race and Ethnicity, and Income Status.

Authors:  Robert S White; Dahniel L Sastow; Licia K Gaber-Baylis; Virginia Tangel; Andrew D Fisher; Zachary A Turnbull
Journal:  J Racial Ethn Health Disparities       Date:  2018-02-12

2.  The impact of socioeconomic status on perioperative complications and oncologic outcomes in patients undergoing radical cystectomy.

Authors:  David M Golombos; Padraic O'Malley; Patrick Lewicki; Daniel P Nguyen; Benjamin V Stone; Bashir Al Hussein Al Awamlh; Douglas S Scherr
Journal:  World J Urol       Date:  2016-11-19       Impact factor: 4.226

3.  Access to post-acute care services reduces emergency department utilisation among individuals insured by Medicaid: An observational study.

Authors:  Heather Brom; Colleen V Anusiewicz; Idorenyin Udoeyo; Jesse Chittams; J Margo Brooks Carthon
Journal:  J Clin Nurs       Date:  2021-07-08       Impact factor: 3.036

4.  Appropriateness, effectiveness and safety of care delivered in Canadian hospitals: a longitudinal assessment on the utility of publicly reported performance trend data between 2012-2013 and 2016-2017.

Authors:  Omid Fekri; Edgar Manukyan; Niek Klazinga
Journal:  BMJ Open       Date:  2020-06-16       Impact factor: 2.692

5.  Transitional care innovation for Medicaid-insured individuals: early findings.

Authors:  J Margo Brooks Carthon; Heather Brom; Rachel French; Marguerite Daus; Marsha Grantham-Murillo; Jovan Bennett; Kira Ryskina; Eileen Ponietowicz; Pamela Cacchione
Journal:  BMJ Open Qual       Date:  2022-08

6.  A qualitative investigation of healthcare workers' strategies in response to readmissions.

Authors:  Priyadarshini R Pennathur; Brennan S Ayres
Journal:  BMC Health Serv Res       Date:  2018-02-27       Impact factor: 2.655

7.  Use of electronic medical records in development and validation of risk prediction models of hospital readmission: systematic review.

Authors:  Elham Mahmoudi; Neil Kamdar; Noa Kim; Gabriella Gonzales; Karandeep Singh; Akbar K Waljee
Journal:  BMJ       Date:  2020-04-08
  7 in total

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