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Using knowledge management tools in the Saudi National Mental Health Survey helpdesk: pre and post study
BACKGROUND: With the growth of information technology, there is a need for the evaluation of cost-effective means of monitoring and support of field workers involved in large epidemiological surveys. AIM: The aim of this research was to measure the performance of a survey help desk that used knowled...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6509781/ https://www.ncbi.nlm.nih.gov/pubmed/31168318 http://dx.doi.org/10.1186/s13033-019-0288-5 |
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author | Aradati, Maggie Bilal, Lisa Naseem, Mohammad Talal Hyder, Sanaa Al‐Habeeb, Abdulhameed Al-Subaie, Abdullah Shahab, Mona Sohail, Bilal Baig, Mansoor Binmuammar, Abdulrahman Altwaijri, Yasmin |
author_facet | Aradati, Maggie Bilal, Lisa Naseem, Mohammad Talal Hyder, Sanaa Al‐Habeeb, Abdulhameed Al-Subaie, Abdullah Shahab, Mona Sohail, Bilal Baig, Mansoor Binmuammar, Abdulrahman Altwaijri, Yasmin |
author_sort | Aradati, Maggie |
collection | PubMed |
description | BACKGROUND: With the growth of information technology, there is a need for the evaluation of cost-effective means of monitoring and support of field workers involved in large epidemiological surveys. AIM: The aim of this research was to measure the performance of a survey help desk that used knowledge management tools to improve its productivity and efficiency. Knowledge management tools are based on information technologies that improve the creation, sharing, and use of different types of knowledge that are critical for effective decision-making. METHODS: The Saudi National Mental Health Survey’s help desk developed and used specific knowledge management tools including a computer file system, feedback from experts and a call ticketing system. Results are based on the analyses of call records recorded by help desk agents in the call ticketing system using descriptive analysis, Wilcoxon rank-sum test (p < 0.01) and Goodman and Kruscal test (gamma). The call records were divided into two phases and included details such as types of calls, priority level and resolution time. RESULTS: The average time to resolve a reported problem decreased overall, decreased at each priority level and led to increased first contact resolution. CONCLUSION: This study is the first of its kind to show how the use of knowledge management tools lead to a more efficient and productive help desk within a health survey environment in Saudi Arabia. Further research on help desk performance, particularly within health survey environments and the Middle Eastern region is needed to support this conclusion. |
format | Online Article Text |
id | pubmed-6509781 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65097812019-06-05 Using knowledge management tools in the Saudi National Mental Health Survey helpdesk: pre and post study Aradati, Maggie Bilal, Lisa Naseem, Mohammad Talal Hyder, Sanaa Al‐Habeeb, Abdulhameed Al-Subaie, Abdullah Shahab, Mona Sohail, Bilal Baig, Mansoor Binmuammar, Abdulrahman Altwaijri, Yasmin Int J Ment Health Syst Research BACKGROUND: With the growth of information technology, there is a need for the evaluation of cost-effective means of monitoring and support of field workers involved in large epidemiological surveys. AIM: The aim of this research was to measure the performance of a survey help desk that used knowledge management tools to improve its productivity and efficiency. Knowledge management tools are based on information technologies that improve the creation, sharing, and use of different types of knowledge that are critical for effective decision-making. METHODS: The Saudi National Mental Health Survey’s help desk developed and used specific knowledge management tools including a computer file system, feedback from experts and a call ticketing system. Results are based on the analyses of call records recorded by help desk agents in the call ticketing system using descriptive analysis, Wilcoxon rank-sum test (p < 0.01) and Goodman and Kruscal test (gamma). The call records were divided into two phases and included details such as types of calls, priority level and resolution time. RESULTS: The average time to resolve a reported problem decreased overall, decreased at each priority level and led to increased first contact resolution. CONCLUSION: This study is the first of its kind to show how the use of knowledge management tools lead to a more efficient and productive help desk within a health survey environment in Saudi Arabia. Further research on help desk performance, particularly within health survey environments and the Middle Eastern region is needed to support this conclusion. BioMed Central 2019-05-10 /pmc/articles/PMC6509781/ /pubmed/31168318 http://dx.doi.org/10.1186/s13033-019-0288-5 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Aradati, Maggie Bilal, Lisa Naseem, Mohammad Talal Hyder, Sanaa Al‐Habeeb, Abdulhameed Al-Subaie, Abdullah Shahab, Mona Sohail, Bilal Baig, Mansoor Binmuammar, Abdulrahman Altwaijri, Yasmin Using knowledge management tools in the Saudi National Mental Health Survey helpdesk: pre and post study |
title | Using knowledge management tools in the Saudi National Mental Health Survey helpdesk: pre and post study |
title_full | Using knowledge management tools in the Saudi National Mental Health Survey helpdesk: pre and post study |
title_fullStr | Using knowledge management tools in the Saudi National Mental Health Survey helpdesk: pre and post study |
title_full_unstemmed | Using knowledge management tools in the Saudi National Mental Health Survey helpdesk: pre and post study |
title_short | Using knowledge management tools in the Saudi National Mental Health Survey helpdesk: pre and post study |
title_sort | using knowledge management tools in the saudi national mental health survey helpdesk: pre and post study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6509781/ https://www.ncbi.nlm.nih.gov/pubmed/31168318 http://dx.doi.org/10.1186/s13033-019-0288-5 |
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