Literature DB >> 27264037

Potentially avoidable hospital admissions in older patients with acute myeloid leukaemia in the USA: a retrospective analysis.

Areej El-Jawahri1, Tanya Keenan2, Gregory A Abel3, David P Steensma3, Thomas W LeBlanc4, Yi-Bin Chen2, Gabriela Hobbs2, Lara Traeger2, Amir T Fathi2, Daniel J DeAngelo3, Martha Wadleigh3, Karen K Ballen2, Philip C Amrein2, Richard M Stone3, Jennifer S Temel2.   

Abstract

BACKGROUND: Older adults (≥60 years of age) with acute myeloid leukaemia spend a substantial proportion of their life in hospital after diagnosis. We examined reasons for their hospital admissions and identified potentially avoidable hospital admissions (PAH) in this age group in the USA.
METHODS: In this retrospective analysis, we examined the reasons for hospital admissions in older patients diagnosed with and treated for acute myeloid leukaemia at two tertiary care hospitals in the USA. We included patients receiving intensive induction chemotherapy or non-intensive treatment. We excluded those with acute promyelocytic leukaemia, those seen only for a one-time consultation who received primary treatment elsewhere, and those who received supportive care alone. We identified the eligible cohort using the Dana-Farber Cancer Institute and Massachusetts General Hospital Leukemia Clinical Research Information Systems database. Practising oncologists used a consensus-driven medical record review process to identify the primary reason for each hospital admission and categorise it as potentially avoidable or not avoidable on the basis of an adaptation of Graham's criteria for PAH. We used multivariable logistic regression analyses to identify predictors of PAH.
FINDINGS: Between May 1, 2005, and Dec 23, 2011, we assessed 1040 hospital admissions (excluding initial admission for diagnosis) in 329 consecutively admitted patients. The most common primary reasons for hospital admissions were: fever or infection (396 [38%]), planned admission for chemotherapy or transplantation (391 [38%]), and uncontrolled symptoms (102 [10%]). We identified 172 (27%) of 649 unplanned hospital admissions as potentially avoidable; among these admissions, 82 (48%) were readmissions because of previous premature hospital discharge, 32 (19%) because of problems that could have been managed in the outpatient setting, and 26 (15%) because of failure of timely outpatient follow-up. In a mixed logistic regression model, higher education (odds ratio 1·43 [95% CI 1·01-2·00]; p=0·04) and receipt of non-intensive induction chemotherapy (1·97 [1·25-3·10]; p=0·003) were predictors of PAH.
INTERPRETATION: Although many hospital admissions in older patients with acute myeloid leukaemia are unavoidable and driven by the illness course and its treatment, a substantial proportion are potentially avoidable. Future interventions to reduce PAH in this population are clearly warranted. FUNDING: National Cancer Institute, National Palliative Care Research Center, and Cambia Health Foundation.
Copyright © 2016 Elsevier Ltd. All rights reserved.

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Year:  2016        PMID: 27264037     DOI: 10.1016/S2352-3026(16)30024-2

Source DB:  PubMed          Journal:  Lancet Haematol        ISSN: 2352-3026            Impact factor:   18.959


  9 in total

1.  Potentially Avoidable Hospital Readmissions in Patients With Advanced Cancer.

Authors:  P Connor Johnson; Yian Xiao; Risa L Wong; Sara D'Arpino; Samantha M C Moran; Daniel E Lage; Brandon Temel; Margaret Ruddy; Lara N Traeger; Joseph A Greer; Ephraim P Hochberg; Jennifer S Temel; Areej El-Jawahri; Ryan D Nipp
Journal:  J Oncol Pract       Date:  2019-04-04       Impact factor: 3.840

2.  Predictors of Posthospital Transitions of Care in Patients With Advanced Cancer.

Authors:  Daniel E Lage; Ryan D Nipp; Sara M D'Arpino; Samantha M Moran; P Connor Johnson; Risa L Wong; William F Pirl; Ephraim P Hochberg; Lara N Traeger; Vicki A Jackson; Barbara J Cashavelly; Holly S Martinson; Joseph A Greer; David P Ryan; Jennifer S Temel; Areej El-Jawahri
Journal:  J Clin Oncol       Date:  2017-10-25       Impact factor: 44.544

3.  Building a Clinically Relevant Risk Model: Predicting Risk of a Potentially Preventable Acute Care Visit for Patients Starting Antineoplastic Treatment.

Authors:  Bobby Daly; Dmitriy Gorenshteyn; Kevin J Nicholas; Alice Zervoudakis; Stefania Sokolowski; Claire E Perry; Lior Gazit; Abigail Baldwin Medsker; Rori Salvaggio; Lynn Adams; Han Xiao; Yeneat O Chiu; Lauren L Katzen; Margarita Rozenshteyn; Diane L Reidy-Lagunes; Brett A Simon; Wendy Perchick; Isaac Wagner
Journal:  JCO Clin Cancer Inform       Date:  2020-03

4.  Estimating cost implications of potentially avoidable hospitalizations among Oncology Care Model patients with prostate cancer.

Authors:  William H Smith; Anish B Parikh; Lihua Li; Mark Sanderson; Mark Liu; Madhu Mazumdar; Luis M Isola; Kavita V Dharmarajan
Journal:  J Cancer Policy       Date:  2020-01-14

5.  Machine Learning Applied to Electronic Health Records: Identification of Chemotherapy Patients at High Risk for Preventable Emergency Department Visits and Hospital Admissions.

Authors:  Dylan J Peterson; Nicolai P Ostberg; Douglas W Blayney; James D Brooks; Tina Hernandez-Boussard
Journal:  JCO Clin Cancer Inform       Date:  2021-10

Review 6.  Early Palliative Care in Acute Myeloid Leukemia.

Authors:  Leonardo Potenza; Eleonora Borelli; Sarah Bigi; Davide Giusti; Giuseppe Longo; Oreofe Odejide; Carlo Adolfo Porro; Camilla Zimmermann; Fabio Efficace; Eduardo Bruera; Mario Luppi; Elena Bandieri
Journal:  Cancers (Basel)       Date:  2022-01-18       Impact factor: 6.639

7.  Clinical Outcomes, Treatment Toxicity, and Health Care Utilization in Older Adults with Aggressive Non-Hodgkin Lymphoma.

Authors:  P Connor Johnson; Alisha Yi; Nora Horick; Hermioni L Amonoo; Richard A Newcomb; Mitchell W Lavoie; Julia Rice; Matthew J Reynolds; Christine S Ritchie; Ryan D Nipp; Areej El-Jawahri
Journal:  Oncologist       Date:  2021-08-12       Impact factor: 5.837

8.  End-of-Life Trajectories of Patients With Hematological Malignancies and Patients With Advanced Solid Tumors Visiting the Emergency Department: The Need for a Proactive Integrated Care Approach.

Authors:  Mary-Joanne Verhoef; Ellen J M de Nijs; Claudia S Ootjers; Marta Fiocco; Anne J Fogteloo; Christian Heringhaus; Corrie A M Marijnen; Nanda Horeweg; Yvette M van der Linden
Journal:  Am J Hosp Palliat Care       Date:  2019-12-23       Impact factor: 2.500

9.  Towards a patient journey perspective on causes of unplanned readmissions using a classification framework: results of a systematic review with narrative synthesis.

Authors:  R G Singotani; F Karapinar; C Brouwers; C Wagner; M C de Bruijne
Journal:  BMC Med Res Methodol       Date:  2019-10-04       Impact factor: 4.615

  9 in total

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