Literature DB >> 15956880

Hospital resource utilization in childhood cancer.

Marc B Rosenman1, Terry Vik, Siu L Hui, Philip P Breitfeld.   

Abstract

To describe the patterns and predictors of hospital resource utilization in a cohort of children with newly diagnosed cancer, a retrospective cohort study of 195 consecutively diagnosed children with cancer at a single large Midwestern children's hospital was conducted. Patients were diagnosed between November 1995 and March 1997. All hospital encounters for these patients starting from the time of diagnosis to 3 years from diagnosis were identified using hospital administrative data. The patients were categorized into four diagnostic groups: lymphoid malignancies (acute lymphoblastic leukemia and lymphoma), myeloid leukemias (acute myeloid leukemia and chronic myeloid leukemia), central nervous system tumors, and solid tumors. Hospital charges and length of stay for patients in each diagnostic category were described. Predictive models for total resource consumption (total hospital charges) and intensive care use were derived. One hundred sixty-five of the 195 were admitted to Riley Hospital for Children at least once during the 3-year period following diagnosis. Among these 165, mean age at diagnosis was 6.9 years (minimum newborn, maximum 18.7 years). The ratio of boys to girls was 99:66 (1.5:1). The distribution of 165 diagnoses was as follows: 65 (39%) with lymphoid malignancy, 13 (8%) with myeloid leukemia, 36 (22%) with central nervous system tumors, and 51 (31%) with solid tumors. Sixty-two patients (38%) used the pediatric intensive care unit (PICU) at least once; 22 patients (13%) underwent stem cell transplantation. Sixty-five patients (39%) entered clinical trials. One hundred thirty-nine patients (84%) were alive at the end of 3 years. Three-year cumulative hospital charges were USD 16 million--almost USD 100,000/child hospitalized. Half of these charges were incurred in the first 4.5 months after diagnosis. Half of all hospital charges accrued to only 12.7% of patients; these patients were more likely to have a diagnosis of myeloid leukemia, to have undergone stem cell transplantation, and to have used the PICU. There were three independent predictors of hospital charges (log transformed): stem cell transplantation, PICU utilization, and death within 3 years of diagnosis. PICU utilization was predicted by tumor type (myeloid leukemia and central nervous system tumors were positive predictors of PICU utilization; lymphoid malignancy and solid tumors were negative predictors), stem cell transplantation, and death within 3 years of diagnosis. The authors conclude that hospitalization for childhood cancer is common, costly in the short term, and to some extent predictable. These data suggest that failures of current treatment not only lead to death but also add significantly to hospital resource utilization.

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Year:  2005        PMID: 15956880     DOI: 10.1097/01.mph.0000168724.19025.a4

Source DB:  PubMed          Journal:  J Pediatr Hematol Oncol        ISSN: 1077-4114            Impact factor:   1.289


  16 in total

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Journal:  Pediatr Blood Cancer       Date:  2015-05-06       Impact factor: 3.167

3.  Spending on Hospital Care and Pediatric Psychology Service Use Among Adolescents and Young Adults With Cancer.

Authors:  Meghan E McGrady; James L Peugh; Gabriella A Brown; Ahna L H Pai
Journal:  J Pediatr Psychol       Date:  2017-10-01

4.  Merging of the National Cancer Institute-funded cooperative oncology group data with an administrative data source to develop a more effective platform for clinical trial analysis and comparative effectiveness research: a report from the Children's Oncology Group.

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5.  Illness and end-of-life experiences of children with cancer who receive palliative care.

Authors:  Erica C Kaye; Courtney A Gushue; Samantha DeMarsh; Jonathan Jerkins; April Sykes; Zhaohua Lu; Jennifer M Snaman; Lindsay Blazin; Liza-Marie Johnson; Deena R Levine; R Ray Morrison; Justin N Baker
Journal:  Pediatr Blood Cancer       Date:  2017-12-08       Impact factor: 3.167

6.  The Impact of Donor Type on Outcomes and Cost of Allogeneic Hematopoietic Cell Transplantation for Pediatric Leukemia: A Merged Center for International Blood and Marrow Transplant Research and Pediatric Health Information System Analysis.

Authors:  Staci D Arnold; Ruta Brazauskas; Naya He; Yimei Li; Matt Hall; Yoshiko Atsuta; Jignesh Dalal; Theresa Hahn; Nandita Khera; Carmem Bonfim; Shahrukh Hashmi; Susan Parsons; William A Wood; Amir Steinberg; César O Freytes; Christopher E Dandoy; David I Marks; Hillard M Lazarus; Hisham Abdel-Azim; Menachem Bitan; Miguel Angel Diaz; Richard F Olsson; Usama Gergis; Adriana Seber; Baldeep Wirk; C Fred LeMaistre; Celalettin Ustun; Christine Duncan; David Rizzieri; David Szwajcer; Franca Fagioli; Haydar Frangoul; Jennifer M Knight; Rammurti T Kamble; Paulette Mehta; Raquel Schears; Prakash Satwani; Michael A Pulsipher; Richard Aplenc; Wael Saber
Journal:  Biol Blood Marrow Transplant       Date:  2020-05-25       Impact factor: 5.742

7.  Outcome of pediatric acute myeloid leukemia patients receiving intensive care in the United States.

Authors:  Shannon L Maude; Julie C Fitzgerald; Brian T Fisher; Yimei Li; Yuan-Shung Huang; Kari Torp; Alix E Seif; Marko Kavcic; Dana M Walker; Kateri H Leckerman; Todd J Kilbaugh; Susan R Rheingold; Lillian Sung; Theoklis E Zaoutis; Robert A Berg; Vinay M Nadkarni; Neal J Thomas; Richard Aplenc
Journal:  Pediatr Crit Care Med       Date:  2014-02       Impact factor: 3.624

8.  The critically-ill pediatric hemato-oncology patient: epidemiology, management, and strategy of transfer to the pediatric intensive care unit.

Authors:  Pierre Demaret; Geraldine Pettersen; Philippe Hubert; Pierre Teira; Guillaume Emeriaud
Journal:  Ann Intensive Care       Date:  2012-06-12       Impact factor: 6.925

9.  Pediatric Intensive Care Unit admission criteria for haemato-oncological patients: a basis for clinical guidelines implementation.

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Journal:  Pediatr Rep       Date:  2011-06-16

10.  Hospitalization and mortality outcomes in the first 5 years after a childhood cancer diagnosis: a population-based study.

Authors:  Angela Steineck; Eric J Chow; David R Doody; Beth A Mueller
Journal:  Cancer Causes Control       Date:  2021-04-09       Impact factor: 2.532

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