MYTOXDATA MYTOXDATA: A TOXICOLOGICAL DATA MANAGEMENT FOR NATIONAL POISON CENTRE
The aim of the present paper is to evaluate the Malaysian Toxicological Database (MyToxData), a newly developed system for toxicological data management. MyToxData is a local system for collection of case reporting and toxicity statistics as well as its database of chemical products and toxicity information. An online questionnaire using JotForm was distributed among healthcare professionals in Malaysian hospitals. The participants were asked to perform tasks on MyToxData system before rating their satisfaction experience. The questionnaire was adopted from previous literature and comprised 12 items, each having a five-point scale that ranged from Strongly Disagree to Strongly Agree. The collected data were then analysed using the SPSS software package. Based on the results, the satisfaction testing showed a high satisfaction score for the login at 95.7% and case registration and toxicological/poisoning case notification at 65.2%. The poisoning substance identification component received a 78.2% agreement on the usefulness with a very high acceptance of 91.3% on the treatment and clinical information retrieval made available on the system. One sample t-test found that all constructs for the satisfaction testing of MyToxData, namely, accuracy, content, ease of use, format and timeliness, were significant. The higher acceptance by healthcare professionals on the satisfaction testing of MyToxData has identified the effectiveness of the development and subsequent usage of a dedicated system for toxicological data management.
Tangiisuran B, Jiva M, Ariff AM, Rani NAA, Misnan A, Rashid SM, et al. Evaluation of types of poisoning exposure calls managed by the Malaysia National Poison Centre (2006–2015): a retrospective review. BMJ Open. 2018;8(12):e024162.
Rajasuriar R, Awang R, Hashim SBH, Rahmat HRBH. Profile of poisoning admissions in Malaysia. Human & Experimental Toxicology. 2007;26(2):73-81.
World Health Organization. IPCS INTOX. World Health Organization; 2013.
Aggelidis VP, Chatzoglou PD. Hospital information systems: Measuring end user computing satisfaction (EUCS). Journal of biomedical informatics. 2012;45(3):566-79.
Ferreira JM, Acuña ST, Dieste O, Vegas S, Santos A, Rodríguez F, et al. Impact of usability mechanisms: An experiment on efficiency, effectiveness and user satisfaction. Information and Software Technology. 2020;117:106195.
Doll WJ, Torkzadeh G. The measurement of end-user computing satisfaction. MIS quarterly. 1988:259-74.
Greco LM, O'Boyle EH, Cockburn BS, Yuan Z. Meta‐analysis of coefficient alpha: A reliability generalization study. Journal of Management Studies. 2018;55(4):583-618.
Verma P, Kumar S, Sharma SK. e-Healthcare service quality: consumer satisfaction and its association with demographic characteristics. International Journal of Health Care Quality Assurance. 2020.