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Assessing the impact of heart failure specialist services on patient populations
BACKGROUND: The assessment of the impact of healthcare interventions may help commissioners of healthcare services to make optimal decisions. This can be particularly the case if the impact assessment relates to specific patient populations and uses timely local data. We examined the potential impac...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2004
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC434522/ https://www.ncbi.nlm.nih.gov/pubmed/15157278 http://dx.doi.org/10.1186/1472-6963-4-10 |
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author | Lyratzopoulos, Georgios Cook, Gary A McElduff, Patrick Havely, Daniel Edwards, Richard Heller, Richard F |
author_facet | Lyratzopoulos, Georgios Cook, Gary A McElduff, Patrick Havely, Daniel Edwards, Richard Heller, Richard F |
author_sort | Lyratzopoulos, Georgios |
collection | PubMed |
description | BACKGROUND: The assessment of the impact of healthcare interventions may help commissioners of healthcare services to make optimal decisions. This can be particularly the case if the impact assessment relates to specific patient populations and uses timely local data. We examined the potential impact on readmissions and mortality of specialist heart failure services capable of delivering treatments such as b-blockers and Nurse-Led Educational Intervention (N-LEI). METHODS: Statistical modelling of prevented or postponed events among previously hospitalised patients, using estimates of: treatment uptake and contraindications (based on local audit data); treatment effectiveness and intolerance (based on literature); and annual number of hospitalization per patient and annual risk of death (based on routine data). RESULTS: Optimal treatment uptake among eligible but untreated patients would over one year prevent or postpone 11% of all expected readmissions and 18% of all expected deaths for spironolactone, 13% of all expected readmisisons and 22% of all expected deaths for b-blockers (carvedilol) and 20% of all expected readmissions and an uncertain number of deaths for N-LEI. Optimal combined treatment uptake for all three interventions during one year among all eligible but untreated patients would prevent or postpone 37% of all expected readmissions and a minimum of 36% of all expected deaths. CONCLUSION: In a population of previously hospitalised patients with low previous uptake of b-blockers and no uptake of N-LEI, optimal combined uptake of interventions through specialist heart failure services can potentially help prevent or postpone approximately four times as many readmissions and a minimum of twice as many deaths compared with simply optimising uptake of spironolactone (not necessarily requiring specialist services). Examination of the impact of different heart failure interventions can inform rational planning of relevant healthcare services. |
format | Text |
id | pubmed-434522 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2004 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-4345222004-06-25 Assessing the impact of heart failure specialist services on patient populations Lyratzopoulos, Georgios Cook, Gary A McElduff, Patrick Havely, Daniel Edwards, Richard Heller, Richard F BMC Health Serv Res Research Article BACKGROUND: The assessment of the impact of healthcare interventions may help commissioners of healthcare services to make optimal decisions. This can be particularly the case if the impact assessment relates to specific patient populations and uses timely local data. We examined the potential impact on readmissions and mortality of specialist heart failure services capable of delivering treatments such as b-blockers and Nurse-Led Educational Intervention (N-LEI). METHODS: Statistical modelling of prevented or postponed events among previously hospitalised patients, using estimates of: treatment uptake and contraindications (based on local audit data); treatment effectiveness and intolerance (based on literature); and annual number of hospitalization per patient and annual risk of death (based on routine data). RESULTS: Optimal treatment uptake among eligible but untreated patients would over one year prevent or postpone 11% of all expected readmissions and 18% of all expected deaths for spironolactone, 13% of all expected readmisisons and 22% of all expected deaths for b-blockers (carvedilol) and 20% of all expected readmissions and an uncertain number of deaths for N-LEI. Optimal combined treatment uptake for all three interventions during one year among all eligible but untreated patients would prevent or postpone 37% of all expected readmissions and a minimum of 36% of all expected deaths. CONCLUSION: In a population of previously hospitalised patients with low previous uptake of b-blockers and no uptake of N-LEI, optimal combined uptake of interventions through specialist heart failure services can potentially help prevent or postpone approximately four times as many readmissions and a minimum of twice as many deaths compared with simply optimising uptake of spironolactone (not necessarily requiring specialist services). Examination of the impact of different heart failure interventions can inform rational planning of relevant healthcare services. BioMed Central 2004-05-24 /pmc/articles/PMC434522/ /pubmed/15157278 http://dx.doi.org/10.1186/1472-6963-4-10 Text en Copyright © 2004 Lyratzopoulos et al; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL. |
spellingShingle | Research Article Lyratzopoulos, Georgios Cook, Gary A McElduff, Patrick Havely, Daniel Edwards, Richard Heller, Richard F Assessing the impact of heart failure specialist services on patient populations |
title | Assessing the impact of heart failure specialist services on patient populations |
title_full | Assessing the impact of heart failure specialist services on patient populations |
title_fullStr | Assessing the impact of heart failure specialist services on patient populations |
title_full_unstemmed | Assessing the impact of heart failure specialist services on patient populations |
title_short | Assessing the impact of heart failure specialist services on patient populations |
title_sort | assessing the impact of heart failure specialist services on patient populations |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC434522/ https://www.ncbi.nlm.nih.gov/pubmed/15157278 http://dx.doi.org/10.1186/1472-6963-4-10 |
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