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Prospective implementation of algorithmic patient selection for gastrostomy tube placement consultations: a pre- and post-intervention analysis
Background: Studies have shown high but variable mortality following gastrostomy tube (GT) placement. There are no standard practice guidelines for GT placement. Aim: To evaluate if implementation of patient selection and prognosis algorithms for GT insertion has favorable effects on patient outcome...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6549408/ https://www.ncbi.nlm.nih.gov/pubmed/31213872 http://dx.doi.org/10.2147/CEG.S197122 |
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author | Cano, Joseph J Thrift, Aaron P El-Serag, Hashem B |
author_facet | Cano, Joseph J Thrift, Aaron P El-Serag, Hashem B |
author_sort | Cano, Joseph J |
collection | PubMed |
description | Background: Studies have shown high but variable mortality following gastrostomy tube (GT) placement. There are no standard practice guidelines for GT placement. Aim: To evaluate if implementation of patient selection and prognosis algorithms for GT insertion has favorable effects on patient outcomes. Methods: This was a pre-, post-cohort analysis in a Veterans Affairs hospital. We implemented a patient selection algorithm aided by the Sheffield Gastrostomy Scoring System (SGSS) in July 2015. We reviewed all referrals to the inpatient service for a GT between July 2014 and June 2016 (pre-, post- implementation), and collected albumin and SGSS at time of consultation, date of GT insertion, and outcomes including vital status and albumin 30 days post-consultation. Patients were followed until 30 October 2016. We compared outcomes pre- and post-implementation. Results: A total of 126 referrals were reviewed, 68 pre- and 58 post-algorithm implementation. Seventy-seven GTs were placed; 58 (75.3%) fulfilled the algorithm-appropriate indications. The mean SGSS was significantly lower among patients in whom GT was placed for algorithm-appropriate indications 2.03 (SD =0.86) vs inappropriate indications (2.59, SD =0.63; p<0.001). Sixty-five (51.6%) patients died by conclusion of study. Thirty day mortality after GT placement was 26.2% (post- (22.4%) vs pre- (29.4%)). Changes in serum albumin at day 30 was non-significant. Conclusion The use of algorithm guidance by the prospective use of the SGSS was associated with a higher likelihood of GT placement both overall and for algorithm-appropriate indications. |
format | Online Article Text |
id | pubmed-6549408 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-65494082019-06-18 Prospective implementation of algorithmic patient selection for gastrostomy tube placement consultations: a pre- and post-intervention analysis Cano, Joseph J Thrift, Aaron P El-Serag, Hashem B Clin Exp Gastroenterol Short Report Background: Studies have shown high but variable mortality following gastrostomy tube (GT) placement. There are no standard practice guidelines for GT placement. Aim: To evaluate if implementation of patient selection and prognosis algorithms for GT insertion has favorable effects on patient outcomes. Methods: This was a pre-, post-cohort analysis in a Veterans Affairs hospital. We implemented a patient selection algorithm aided by the Sheffield Gastrostomy Scoring System (SGSS) in July 2015. We reviewed all referrals to the inpatient service for a GT between July 2014 and June 2016 (pre-, post- implementation), and collected albumin and SGSS at time of consultation, date of GT insertion, and outcomes including vital status and albumin 30 days post-consultation. Patients were followed until 30 October 2016. We compared outcomes pre- and post-implementation. Results: A total of 126 referrals were reviewed, 68 pre- and 58 post-algorithm implementation. Seventy-seven GTs were placed; 58 (75.3%) fulfilled the algorithm-appropriate indications. The mean SGSS was significantly lower among patients in whom GT was placed for algorithm-appropriate indications 2.03 (SD =0.86) vs inappropriate indications (2.59, SD =0.63; p<0.001). Sixty-five (51.6%) patients died by conclusion of study. Thirty day mortality after GT placement was 26.2% (post- (22.4%) vs pre- (29.4%)). Changes in serum albumin at day 30 was non-significant. Conclusion The use of algorithm guidance by the prospective use of the SGSS was associated with a higher likelihood of GT placement both overall and for algorithm-appropriate indications. Dove 2019-05-30 /pmc/articles/PMC6549408/ /pubmed/31213872 http://dx.doi.org/10.2147/CEG.S197122 Text en © 2019 Cano et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Short Report Cano, Joseph J Thrift, Aaron P El-Serag, Hashem B Prospective implementation of algorithmic patient selection for gastrostomy tube placement consultations: a pre- and post-intervention analysis |
title | Prospective implementation of algorithmic patient selection for gastrostomy tube placement consultations: a pre- and post-intervention analysis |
title_full | Prospective implementation of algorithmic patient selection for gastrostomy tube placement consultations: a pre- and post-intervention analysis |
title_fullStr | Prospective implementation of algorithmic patient selection for gastrostomy tube placement consultations: a pre- and post-intervention analysis |
title_full_unstemmed | Prospective implementation of algorithmic patient selection for gastrostomy tube placement consultations: a pre- and post-intervention analysis |
title_short | Prospective implementation of algorithmic patient selection for gastrostomy tube placement consultations: a pre- and post-intervention analysis |
title_sort | prospective implementation of algorithmic patient selection for gastrostomy tube placement consultations: a pre- and post-intervention analysis |
topic | Short Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6549408/ https://www.ncbi.nlm.nih.gov/pubmed/31213872 http://dx.doi.org/10.2147/CEG.S197122 |
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