Literature DB >> 27924653

Healthcare resource use, comorbidity, treatment and clinical outcomes for patients with primary intracranial tumors: a Swedish population-based register study.

Jenny Bergqvist1,2, Hanna Iderberg3,4, Johan Mesterton3,4, Nils Bengtsson3, Björn Wettermark5, Roger Henriksson6,7.   

Abstract

BACKGROUND: Primary intracranial tumors are relatively uncommon and heterogeneous, which make them challenging to study. We coupled data from unique Swedish population-based registries in order to deeper analyze the most common intracranical tumor types. Patient characteristics (e.g. comorbidities), care process measures like adherence to national guidelines, healthcare resource use and clinical outcome was evaluated.
MATERIALS AND METHODS: A register-based study including several population-based registries for all patients living in Stockholm-Gotland, diagnosed with primary intracranial tumor between 2001 and 2013 was performed. Patient characteristics were captured and investigated in relation to survival, healthcare resource use (inpatient-, outpatient- and primary care) and treatment process.
RESULTS: High-grade glioma and meningioma were the most common tumor types and most patients (76%) were above the age of 40 in the patient population (n = 3664). Older age, comorbidity (Elixhauser comorbidity index) and type of tumor (high-grade glioma) were associated with lower survival rate and increased use of healthcare resources, analyzed for patients living in Stockholm (n = 3031). The analyses of healthcare use and survival showed no differences between males and females, when stratifying by tumor types. Healthcare processes were not always consistent with existing national treatment recommendations for patients with high-grade gliomas (n = 474) with regard to specified lead times, analyzed in the Swedish Brain Tumor Registry, as also observed at the national level.
CONCLUSIONS: Age, comorbidity and high-grade gliomas, but not sex, were associated with decreased survival and increased use of healthcare resources. Fewer patients than aimed for in national guidelines received care according to specified lead times. The analysis of comprehensive population-based register data can be used to improve future care processes and outcomes.

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Year:  2016        PMID: 27924653     DOI: 10.1080/0284186X.2016.1257864

Source DB:  PubMed          Journal:  Acta Oncol        ISSN: 0284-186X            Impact factor:   4.089


  4 in total

1.  Health care resource utilization and treatment of leptomeningeal carcinomatosis in the United States.

Authors:  Syed M Adil; Sarah E Hodges; Ryan M Edwards; Lefko T Charalambous; Zidanyue Yang; Musa Kiyani; Alexis Musick; Beth A Parente; Hui-Jie Lee; Katherine B Peters; Peter E Fecci; Shivanand P Lad
Journal:  Neurooncol Pract       Date:  2020-07-21

2.  Interventions to reduce the time to diagnosis of brain tumours.

Authors:  Robin Grant; Therese Dowswell; Eve Tomlinson; Paul M Brennan; Fiona M Walter; Yoav Ben-Shlomo; David William Hunt; Helen Bulbeck; Ashleigh Kernohan; Tomos Robinson; Theresa A Lawrie
Journal:  Cochrane Database Syst Rev       Date:  2020-09-04

3.  The effects of clinical and sociodemographic factors on survival, resource use and lead times in patients with high-grade gliomas: a population-based register study.

Authors:  Jenny Bergqvist; Hanna Iderberg; Johan Mesterton; Roger Henriksson
Journal:  J Neurooncol       Date:  2018-05-30       Impact factor: 4.130

4.  Survival of esophageal and gastric cancer patients with adjuvant and palliative chemotherapy-a retrospective analysis of a register-based patient cohort.

Authors:  Isabella Ekheden; Fereshte Ebrahim; Halla Ólafsdóttir; Pauline Raaschou; Björn Wettermark; Roger Henriksson; Weimin Ye
Journal:  Eur J Clin Pharmacol       Date:  2020-05-05       Impact factor: 2.953

  4 in total

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