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Reducing Wait Time in a High-volume Pediatric Neuro-oncology Clinic by Optimizing Process Flow: A Quality Improvement Project
INTRODUCTION: Hospital wait time (WT) influences healthcare quality and patient satisfaction. Long WTs are distressful for patients and considered substandard healthcare delivery. Pediatric hematology/oncology patients with complex medical conditions frequently need multiple appointments in a day, m...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9197364/ https://www.ncbi.nlm.nih.gov/pubmed/35720861 http://dx.doi.org/10.1097/pq9.0000000000000557 |
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author | Vinitsky, Anna David, Barbara Michalik, Layna Ramirez, Nicole Risinger, Adam Burlison, Jonathan D. Zanders, Jacky Mans, Bridget Heady, Katie Holdiness, Joni Qaddoumi, Ibrahim Robinson, Giles W. Moreira, Daniel Upadhyaya, Santhosh A. Gajjar, Amar |
author_facet | Vinitsky, Anna David, Barbara Michalik, Layna Ramirez, Nicole Risinger, Adam Burlison, Jonathan D. Zanders, Jacky Mans, Bridget Heady, Katie Holdiness, Joni Qaddoumi, Ibrahim Robinson, Giles W. Moreira, Daniel Upadhyaya, Santhosh A. Gajjar, Amar |
author_sort | Vinitsky, Anna |
collection | PubMed |
description | INTRODUCTION: Hospital wait time (WT) influences healthcare quality and patient satisfaction. Long WTs are distressful for patients and considered substandard healthcare delivery. Pediatric hematology/oncology patients with complex medical conditions frequently need multiple appointments in a day, making their scheduling very challenging. Here, we report a quality improvement (QI) project aimed to decrease the percentage of patients waiting >30 minutes before room placement in the neuro-oncology clinic. METHODS: We measured WT from when the patient reported to the clinic (or, for those arriving early, from scheduled appointment) to when the patient got an exam room. We collected data by random sampling and collected baseline data over the initial 4 weeks; generated process mapping and Pareto charts to identify reasons for delayed patient placement in rooms; and used iterative Plan-Do-Study-Act (PDSA) cycles to test interventions. We used Run charts and Shewhart charts for data analysis. RESULTS: Our baseline data analyses showed provider and room availability as critical reasons for delayed room placement (38.4% and 30%, respectively). We also completed related PDSA improvement cycles. The median percent of patients waiting >30 minutes decreased from 21% to 13%. The median average waiting time decreased from 21 to 11 minutes. CONCLUSION: Using structured QI methodology, we decreased the percent of patients waiting >30 minutes before room placement and overall WTs. We developed a strategy for continuous improvement and future interventions. Furthermore, our results suggest that QI projects, which account for the complexity of hospital systems, can improve patient flow throughout the hospital. |
format | Online Article Text |
id | pubmed-9197364 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-91973642022-06-16 Reducing Wait Time in a High-volume Pediatric Neuro-oncology Clinic by Optimizing Process Flow: A Quality Improvement Project Vinitsky, Anna David, Barbara Michalik, Layna Ramirez, Nicole Risinger, Adam Burlison, Jonathan D. Zanders, Jacky Mans, Bridget Heady, Katie Holdiness, Joni Qaddoumi, Ibrahim Robinson, Giles W. Moreira, Daniel Upadhyaya, Santhosh A. Gajjar, Amar Pediatr Qual Saf Individual QI projects from single institutions INTRODUCTION: Hospital wait time (WT) influences healthcare quality and patient satisfaction. Long WTs are distressful for patients and considered substandard healthcare delivery. Pediatric hematology/oncology patients with complex medical conditions frequently need multiple appointments in a day, making their scheduling very challenging. Here, we report a quality improvement (QI) project aimed to decrease the percentage of patients waiting >30 minutes before room placement in the neuro-oncology clinic. METHODS: We measured WT from when the patient reported to the clinic (or, for those arriving early, from scheduled appointment) to when the patient got an exam room. We collected data by random sampling and collected baseline data over the initial 4 weeks; generated process mapping and Pareto charts to identify reasons for delayed patient placement in rooms; and used iterative Plan-Do-Study-Act (PDSA) cycles to test interventions. We used Run charts and Shewhart charts for data analysis. RESULTS: Our baseline data analyses showed provider and room availability as critical reasons for delayed room placement (38.4% and 30%, respectively). We also completed related PDSA improvement cycles. The median percent of patients waiting >30 minutes decreased from 21% to 13%. The median average waiting time decreased from 21 to 11 minutes. CONCLUSION: Using structured QI methodology, we decreased the percent of patients waiting >30 minutes before room placement and overall WTs. We developed a strategy for continuous improvement and future interventions. Furthermore, our results suggest that QI projects, which account for the complexity of hospital systems, can improve patient flow throughout the hospital. Lippincott Williams & Wilkins 2022-06-14 /pmc/articles/PMC9197364/ /pubmed/35720861 http://dx.doi.org/10.1097/pq9.0000000000000557 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Individual QI projects from single institutions Vinitsky, Anna David, Barbara Michalik, Layna Ramirez, Nicole Risinger, Adam Burlison, Jonathan D. Zanders, Jacky Mans, Bridget Heady, Katie Holdiness, Joni Qaddoumi, Ibrahim Robinson, Giles W. Moreira, Daniel Upadhyaya, Santhosh A. Gajjar, Amar Reducing Wait Time in a High-volume Pediatric Neuro-oncology Clinic by Optimizing Process Flow: A Quality Improvement Project |
title | Reducing Wait Time in a High-volume Pediatric Neuro-oncology Clinic by Optimizing Process Flow: A Quality Improvement Project |
title_full | Reducing Wait Time in a High-volume Pediatric Neuro-oncology Clinic by Optimizing Process Flow: A Quality Improvement Project |
title_fullStr | Reducing Wait Time in a High-volume Pediatric Neuro-oncology Clinic by Optimizing Process Flow: A Quality Improvement Project |
title_full_unstemmed | Reducing Wait Time in a High-volume Pediatric Neuro-oncology Clinic by Optimizing Process Flow: A Quality Improvement Project |
title_short | Reducing Wait Time in a High-volume Pediatric Neuro-oncology Clinic by Optimizing Process Flow: A Quality Improvement Project |
title_sort | reducing wait time in a high-volume pediatric neuro-oncology clinic by optimizing process flow: a quality improvement project |
topic | Individual QI projects from single institutions |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9197364/ https://www.ncbi.nlm.nih.gov/pubmed/35720861 http://dx.doi.org/10.1097/pq9.0000000000000557 |
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