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Healthcare resource utilisation and costs associated with a heart failure diagnosis: a retrospective, population-based cohort study in Sweden
OBJECTIVES: To examine healthcare resource use (HRU) and costs among heart failure (HF) patients using population data from Sweden. DESIGN: Retrospective, non-interventional cohort study. SETTING: Two cohorts were identified from linked national health registers (cohort 1, 2005–2014) and electronic...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8527145/ https://www.ncbi.nlm.nih.gov/pubmed/34667015 http://dx.doi.org/10.1136/bmjopen-2021-053806 |
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author | Boman, Kurt Lindmark, Krister Stålhammar, Jan Olofsson, Mona Costa-Scharplatz, Madlaina Fonseca, Ana Filipa Johansson, Stina Heller, Vincent Törnblom, Michael Wikström, Gerhard |
author_facet | Boman, Kurt Lindmark, Krister Stålhammar, Jan Olofsson, Mona Costa-Scharplatz, Madlaina Fonseca, Ana Filipa Johansson, Stina Heller, Vincent Törnblom, Michael Wikström, Gerhard |
author_sort | Boman, Kurt |
collection | PubMed |
description | OBJECTIVES: To examine healthcare resource use (HRU) and costs among heart failure (HF) patients using population data from Sweden. DESIGN: Retrospective, non-interventional cohort study. SETTING: Two cohorts were identified from linked national health registers (cohort 1, 2005–2014) and electronic medical records (cohort 2, 2010–2012; primary/secondary care patients from Uppsala and Västerbotten). PARTICIPANTS: Patients (aged ≥18 years) with primary or secondary diagnoses of HF (≥2 International Classification of Diseases and Related Health Problems, 10th revision classification) during the identification period of January 2005 to March 2015 were included. OUTCOME MEASURES: HRU across the HF phenotypes was assessed with logistic regression. Costs were estimated based on diagnosis-related group codes and general price lists. RESULTS: Total annual costs of secondary care of prevalent HF increased from SEK 6.23 (€0.60) to 8.86 (€0.85) billion between 2005 and 2014. Of 4648 incident patients, HF phenotype was known for 1715: reduced ejection fraction (HFrEF): 64.5%, preserved ejection fraction (HFpEF): 35.5%. Within 1 year of HF diagnosis, the proportion of patients hospitalised was only marginally higher for HFrEF versus HFpEF (all-cause (95% CI): 64.7% (60.8 to 68.4) vs 63.7% (60.8 to 66.5), HR 0.91, p=0.14; cardiovascular disease related (95% CI): 61.1% (57.1 to 64.8) vs 60.9% (58.0 to 63.7), HR 0.93, p=0.28). Frequency of hospitalisations and outpatient visits per patient declined after the first year. All-cause secondary care costs in the first year were SEK 122 758 (€12 890)/patient/year, with HF-specific care accounting for 69% of the costs. Overall, 10% of the most expensive population (younger; predominantly male; more likely to have comorbidities) incurred ~40% of total secondary care costs. CONCLUSIONS: HF-associated costs and HRU are high, especially during the first year of diagnosis. This is driven by high hospitalisations rates. Understanding the profile of resource-intensive patients being at younger age, male sex and high Charlson comorbidity index scores at the time of the HF diagnosis is most likely a sign of more severe disease. |
format | Online Article Text |
id | pubmed-8527145 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-85271452021-11-04 Healthcare resource utilisation and costs associated with a heart failure diagnosis: a retrospective, population-based cohort study in Sweden Boman, Kurt Lindmark, Krister Stålhammar, Jan Olofsson, Mona Costa-Scharplatz, Madlaina Fonseca, Ana Filipa Johansson, Stina Heller, Vincent Törnblom, Michael Wikström, Gerhard BMJ Open Health Economics OBJECTIVES: To examine healthcare resource use (HRU) and costs among heart failure (HF) patients using population data from Sweden. DESIGN: Retrospective, non-interventional cohort study. SETTING: Two cohorts were identified from linked national health registers (cohort 1, 2005–2014) and electronic medical records (cohort 2, 2010–2012; primary/secondary care patients from Uppsala and Västerbotten). PARTICIPANTS: Patients (aged ≥18 years) with primary or secondary diagnoses of HF (≥2 International Classification of Diseases and Related Health Problems, 10th revision classification) during the identification period of January 2005 to March 2015 were included. OUTCOME MEASURES: HRU across the HF phenotypes was assessed with logistic regression. Costs were estimated based on diagnosis-related group codes and general price lists. RESULTS: Total annual costs of secondary care of prevalent HF increased from SEK 6.23 (€0.60) to 8.86 (€0.85) billion between 2005 and 2014. Of 4648 incident patients, HF phenotype was known for 1715: reduced ejection fraction (HFrEF): 64.5%, preserved ejection fraction (HFpEF): 35.5%. Within 1 year of HF diagnosis, the proportion of patients hospitalised was only marginally higher for HFrEF versus HFpEF (all-cause (95% CI): 64.7% (60.8 to 68.4) vs 63.7% (60.8 to 66.5), HR 0.91, p=0.14; cardiovascular disease related (95% CI): 61.1% (57.1 to 64.8) vs 60.9% (58.0 to 63.7), HR 0.93, p=0.28). Frequency of hospitalisations and outpatient visits per patient declined after the first year. All-cause secondary care costs in the first year were SEK 122 758 (€12 890)/patient/year, with HF-specific care accounting for 69% of the costs. Overall, 10% of the most expensive population (younger; predominantly male; more likely to have comorbidities) incurred ~40% of total secondary care costs. CONCLUSIONS: HF-associated costs and HRU are high, especially during the first year of diagnosis. This is driven by high hospitalisations rates. Understanding the profile of resource-intensive patients being at younger age, male sex and high Charlson comorbidity index scores at the time of the HF diagnosis is most likely a sign of more severe disease. BMJ Publishing Group 2021-10-18 /pmc/articles/PMC8527145/ /pubmed/34667015 http://dx.doi.org/10.1136/bmjopen-2021-053806 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Health Economics Boman, Kurt Lindmark, Krister Stålhammar, Jan Olofsson, Mona Costa-Scharplatz, Madlaina Fonseca, Ana Filipa Johansson, Stina Heller, Vincent Törnblom, Michael Wikström, Gerhard Healthcare resource utilisation and costs associated with a heart failure diagnosis: a retrospective, population-based cohort study in Sweden |
title | Healthcare resource utilisation and costs associated with a heart failure diagnosis: a retrospective, population-based cohort study in Sweden |
title_full | Healthcare resource utilisation and costs associated with a heart failure diagnosis: a retrospective, population-based cohort study in Sweden |
title_fullStr | Healthcare resource utilisation and costs associated with a heart failure diagnosis: a retrospective, population-based cohort study in Sweden |
title_full_unstemmed | Healthcare resource utilisation and costs associated with a heart failure diagnosis: a retrospective, population-based cohort study in Sweden |
title_short | Healthcare resource utilisation and costs associated with a heart failure diagnosis: a retrospective, population-based cohort study in Sweden |
title_sort | healthcare resource utilisation and costs associated with a heart failure diagnosis: a retrospective, population-based cohort study in sweden |
topic | Health Economics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8527145/ https://www.ncbi.nlm.nih.gov/pubmed/34667015 http://dx.doi.org/10.1136/bmjopen-2021-053806 |
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