Cargando…
Protocol for a mixed methods study of hospital readmissions: sensemaking in Veterans Health Administration healthcare system in the USA
INTRODUCTION: Effective delivery of healthcare in complex systems requires managing interdependencies between professions and organisational units. Reducing 30-day hospital readmissions may be one of the most complex tasks that a healthcare system can undertake. We propose that these less than optim...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5892745/ https://www.ncbi.nlm.nih.gov/pubmed/29627815 http://dx.doi.org/10.1136/bmjopen-2017-020169 |
_version_ | 1783313206701195264 |
---|---|
author | Penney, Lauren S Leykum, Luci K Noël, Polly Finley, Erin P Lanham, Holly Jordan Pugh, Jacqueline |
author_facet | Penney, Lauren S Leykum, Luci K Noël, Polly Finley, Erin P Lanham, Holly Jordan Pugh, Jacqueline |
author_sort | Penney, Lauren S |
collection | PubMed |
description | INTRODUCTION: Effective delivery of healthcare in complex systems requires managing interdependencies between professions and organisational units. Reducing 30-day hospital readmissions may be one of the most complex tasks that a healthcare system can undertake. We propose that these less than optimal outcomes are related to difficulties managing the complex interdependencies among organisational units and to a lack of effective sensemaking among individuals and organisational units regarding how best to coordinate patient needs. METHODS AND ANALYSIS: This is a mixed method, multistepped study. We will conduct in-depth qualitative organisational case studies in 10 Veterans Health Administration facilities (6 with improving and 4 with worsening readmission rates), focusing on relationships, sensemaking and improvisation around care transition processes intended to reduce early readmissions. Data will be gathered through multiple methods (eg, chart reviews, surveys, interviews, observations) and analysed using analytic memos, qualitative coding and statistical analyses. We will construct an agent-based model based on those results to explore the influence of sensemaking and specific care transition processes on early readmissions. ETHICS AND DISSEMINATION: Ethical approval has been obtained through the Institutional Review Board of the University of Texas Health Science Center at San Antonio (approval number: 14–258 hour). We will disseminate our findings in manuscripts in peer-reviewed journals, professional conferences and through short reports back to participating entities and stakeholders. |
format | Online Article Text |
id | pubmed-5892745 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-58927452018-04-13 Protocol for a mixed methods study of hospital readmissions: sensemaking in Veterans Health Administration healthcare system in the USA Penney, Lauren S Leykum, Luci K Noël, Polly Finley, Erin P Lanham, Holly Jordan Pugh, Jacqueline BMJ Open Health Services Research INTRODUCTION: Effective delivery of healthcare in complex systems requires managing interdependencies between professions and organisational units. Reducing 30-day hospital readmissions may be one of the most complex tasks that a healthcare system can undertake. We propose that these less than optimal outcomes are related to difficulties managing the complex interdependencies among organisational units and to a lack of effective sensemaking among individuals and organisational units regarding how best to coordinate patient needs. METHODS AND ANALYSIS: This is a mixed method, multistepped study. We will conduct in-depth qualitative organisational case studies in 10 Veterans Health Administration facilities (6 with improving and 4 with worsening readmission rates), focusing on relationships, sensemaking and improvisation around care transition processes intended to reduce early readmissions. Data will be gathered through multiple methods (eg, chart reviews, surveys, interviews, observations) and analysed using analytic memos, qualitative coding and statistical analyses. We will construct an agent-based model based on those results to explore the influence of sensemaking and specific care transition processes on early readmissions. ETHICS AND DISSEMINATION: Ethical approval has been obtained through the Institutional Review Board of the University of Texas Health Science Center at San Antonio (approval number: 14–258 hour). We will disseminate our findings in manuscripts in peer-reviewed journals, professional conferences and through short reports back to participating entities and stakeholders. BMJ Publishing Group 2018-04-07 /pmc/articles/PMC5892745/ /pubmed/29627815 http://dx.doi.org/10.1136/bmjopen-2017-020169 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Health Services Research Penney, Lauren S Leykum, Luci K Noël, Polly Finley, Erin P Lanham, Holly Jordan Pugh, Jacqueline Protocol for a mixed methods study of hospital readmissions: sensemaking in Veterans Health Administration healthcare system in the USA |
title | Protocol for a mixed methods study of hospital readmissions: sensemaking in Veterans Health Administration healthcare system in the USA |
title_full | Protocol for a mixed methods study of hospital readmissions: sensemaking in Veterans Health Administration healthcare system in the USA |
title_fullStr | Protocol for a mixed methods study of hospital readmissions: sensemaking in Veterans Health Administration healthcare system in the USA |
title_full_unstemmed | Protocol for a mixed methods study of hospital readmissions: sensemaking in Veterans Health Administration healthcare system in the USA |
title_short | Protocol for a mixed methods study of hospital readmissions: sensemaking in Veterans Health Administration healthcare system in the USA |
title_sort | protocol for a mixed methods study of hospital readmissions: sensemaking in veterans health administration healthcare system in the usa |
topic | Health Services Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5892745/ https://www.ncbi.nlm.nih.gov/pubmed/29627815 http://dx.doi.org/10.1136/bmjopen-2017-020169 |
work_keys_str_mv | AT penneylaurens protocolforamixedmethodsstudyofhospitalreadmissionssensemakinginveteranshealthadministrationhealthcaresystemintheusa AT leykumlucik protocolforamixedmethodsstudyofhospitalreadmissionssensemakinginveteranshealthadministrationhealthcaresystemintheusa AT noelpolly protocolforamixedmethodsstudyofhospitalreadmissionssensemakinginveteranshealthadministrationhealthcaresystemintheusa AT finleyerinp protocolforamixedmethodsstudyofhospitalreadmissionssensemakinginveteranshealthadministrationhealthcaresystemintheusa AT lanhamhollyjordan protocolforamixedmethodsstudyofhospitalreadmissionssensemakinginveteranshealthadministrationhealthcaresystemintheusa AT pughjacqueline protocolforamixedmethodsstudyofhospitalreadmissionssensemakinginveteranshealthadministrationhealthcaresystemintheusa |