Using knowledge management tools in the Saudi National Mental Health Survey helpdesk: pre and post study.

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;
international journal of mental health systems 2019 Vol. 13 pp. 33
285
aradati2019usinginternational

Abstract

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.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.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.The average time to resolve a reported problem decreased overall, decreased at each priority level and led to increased first contact resolution.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.

Citation

ID: 55256
Ref Key: aradati2019usinginternational
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
55256
Unique Identifier:
10.1186/s13033-019-0288-5
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet