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Impact of Lean on patient cycle and waiting times at a rural district hospital in KwaZulu-Natal
BACKGROUND: Prolonged waiting time is a source of patient dissatisfaction with health care and is negatively associated with patient satisfaction. Prolonged waiting times in many district hospitals result in many dissatisfied patients, overworked and frustrated staff, and poor quality of care becaus...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AOSIS
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4969513/ https://www.ncbi.nlm.nih.gov/pubmed/27543283 http://dx.doi.org/10.4102/phcfm.v8i1.1084 |
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author | Naidoo, Logandran Mahomed, Ozayr H. |
author_facet | Naidoo, Logandran Mahomed, Ozayr H. |
author_sort | Naidoo, Logandran |
collection | PubMed |
description | BACKGROUND: Prolonged waiting time is a source of patient dissatisfaction with health care and is negatively associated with patient satisfaction. Prolonged waiting times in many district hospitals result in many dissatisfied patients, overworked and frustrated staff, and poor quality of care because of the perceived increased workload. AIM: The aim of the study was to determine the impact of Lean principles techniques, and tools on the operational efficiency in the outpatient department (OPD) of a rural district hospital. SETTING: The study was conducted at the Catherine Booth Hospital (CBH) – a rural district hospital in KwaZulu-Natal, South Africa. METHODS: This was an action research study with pre-, intermediate-, and post-implementation assessments. Cycle and waiting times were measured by direct observation on two occasions before, approximately two-weekly during, and on two occasions after Lean implementation. A standardised data collection tool was completed by the researcher at each of the six key service nodes in the OPD to capture the waiting times and cycle times. RESULTS: All six service nodes showed a reduction in cycle times and waiting times between the baseline assessment and post-Lean implementation measurement. Significant reduction was achieved in cycle times (27%; p < 0.05) and waiting times (from 11.93 to 10 min; p = 0.03) at the Investigations node. Although the target reduction was not achieved for the Consulting Room node, there was a significant reduction in waiting times from 80.95 to 74.43 min, (p < 0.001). The average efficiency increased from 16.35% (baseline) to 20.13% (post-intervention). CONCLUSION: The application of Lean principles, tools and techniques provides hospital managers with an evidence-based management approach to resolving problems and improving quality indicators. |
format | Online Article Text |
id | pubmed-4969513 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | AOSIS |
record_format | MEDLINE/PubMed |
spelling | pubmed-49695132016-08-02 Impact of Lean on patient cycle and waiting times at a rural district hospital in KwaZulu-Natal Naidoo, Logandran Mahomed, Ozayr H. Afr J Prim Health Care Fam Med Original Research BACKGROUND: Prolonged waiting time is a source of patient dissatisfaction with health care and is negatively associated with patient satisfaction. Prolonged waiting times in many district hospitals result in many dissatisfied patients, overworked and frustrated staff, and poor quality of care because of the perceived increased workload. AIM: The aim of the study was to determine the impact of Lean principles techniques, and tools on the operational efficiency in the outpatient department (OPD) of a rural district hospital. SETTING: The study was conducted at the Catherine Booth Hospital (CBH) – a rural district hospital in KwaZulu-Natal, South Africa. METHODS: This was an action research study with pre-, intermediate-, and post-implementation assessments. Cycle and waiting times were measured by direct observation on two occasions before, approximately two-weekly during, and on two occasions after Lean implementation. A standardised data collection tool was completed by the researcher at each of the six key service nodes in the OPD to capture the waiting times and cycle times. RESULTS: All six service nodes showed a reduction in cycle times and waiting times between the baseline assessment and post-Lean implementation measurement. Significant reduction was achieved in cycle times (27%; p < 0.05) and waiting times (from 11.93 to 10 min; p = 0.03) at the Investigations node. Although the target reduction was not achieved for the Consulting Room node, there was a significant reduction in waiting times from 80.95 to 74.43 min, (p < 0.001). The average efficiency increased from 16.35% (baseline) to 20.13% (post-intervention). CONCLUSION: The application of Lean principles, tools and techniques provides hospital managers with an evidence-based management approach to resolving problems and improving quality indicators. AOSIS 2016-07-26 /pmc/articles/PMC4969513/ /pubmed/27543283 http://dx.doi.org/10.4102/phcfm.v8i1.1084 Text en © 2016. The Authors http://creativecommons.org/licenses/by/2.0/ AOSIS. This work is licensed under the Creative Commons Attribution License. |
spellingShingle | Original Research Naidoo, Logandran Mahomed, Ozayr H. Impact of Lean on patient cycle and waiting times at a rural district hospital in KwaZulu-Natal |
title | Impact of Lean on patient cycle and waiting times at a rural district hospital in KwaZulu-Natal |
title_full | Impact of Lean on patient cycle and waiting times at a rural district hospital in KwaZulu-Natal |
title_fullStr | Impact of Lean on patient cycle and waiting times at a rural district hospital in KwaZulu-Natal |
title_full_unstemmed | Impact of Lean on patient cycle and waiting times at a rural district hospital in KwaZulu-Natal |
title_short | Impact of Lean on patient cycle and waiting times at a rural district hospital in KwaZulu-Natal |
title_sort | impact of lean on patient cycle and waiting times at a rural district hospital in kwazulu-natal |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4969513/ https://www.ncbi.nlm.nih.gov/pubmed/27543283 http://dx.doi.org/10.4102/phcfm.v8i1.1084 |
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