{"id":4070,"date":"2023-07-11T15:29:15","date_gmt":"2023-07-11T15:29:15","guid":{"rendered":"https:\/\/wapcpharm.org\/journal\/?p=4070"},"modified":"2023-07-15T15:36:16","modified_gmt":"2023-07-15T15:36:16","slug":"west-african-journal-of-pharmacy-2021-32-1-61-73","status":"publish","type":"post","link":"https:\/\/wapcpharm.org\/journal\/west-african-journal-of-pharmacy-2021-32-1-61-73\/","title":{"rendered":"West African Journal of Pharmacy (2021) 32 (1) 61 &#8211; 73"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"4070\" class=\"elementor elementor-4070\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-76bfd5d3 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"76bfd5d3\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-27593e23\" data-id=\"27593e23\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-759324b4 elementor-widget elementor-widget-text-editor\" data-id=\"759324b4\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p style=\"text-align: center;\"><b>Using the queuing model to evaluate and predict optimum outpatient pharmacy dispensing service in\u00a0<\/b><b style=\"font-size: 19px; color: var( --e-global-color-text );\">Lagos University Teaching Hospital<\/b><\/p><p style=\"text-align: center;\"><b>\u00a0<\/b><\/p><p style=\"text-align: center;\">W<span style=\"font-size: 19px; color: var( --e-global-color-text );\">aheed A. Adeoye , Patrick O. Erah , Babafemi O. Macauley<\/span><\/p><p style=\"text-align: center;\">\u00a0<\/p><p style=\"text-align: center;\">1Department of Pharmacy (Drug Production \/ In-Patient), Lagos University Teaching Hospital,\u00a0<span style=\"font-size: 19px; color: var( --e-global-color-text );\">Idi &#8211; Araba, Lagos, Nigeria;<\/span><\/p><p style=\"text-align: center;\">\u00a0<\/p><p style=\"text-align: center;\">2Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmacy, University of Benin,\u00a0<span style=\"font-size: 19px; color: var( --e-global-color-text );\">Benin City, Nigeria;<\/span><\/p><p style=\"text-align: center;\">\u00a0<\/p><p style=\"text-align: center;\">3<span style=\"font-size: 19px; color: var( --e-global-color-text );\">School of Health Information Management, Lagos University Teaching Hospital, Idi &#8211; Araba, Lagos, Nigeria<\/span><\/p><p style=\"text-align: center;\">\u00a0<\/p><p style=\"text-align: center;\">Corresponding author: Waheed A. Adeoye<\/p><p style=\"text-align: center;\">E-mail: adeoyew@yahoo.com Phone: +2348037165058<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-74ed46a7 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"74ed46a7\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-72d1f24f\" data-id=\"72d1f24f\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-469d5ebd elementor-widget elementor-widget-heading\" data-id=\"469d5ebd\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">ABSTRACT<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-344d6758 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"344d6758\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-692c9dc8\" data-id=\"692c9dc8\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5891de6e elementor-widget elementor-widget-text-editor\" data-id=\"5891de6e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p style=\"text-align: justify;\"><b>Background:<\/b> Waiting times for health services arise because capacity does not match demand or capacity or\u00a0<span style=\"font-size: 19px; color: var( --e-global-color-text );\">demand is not well managed. Queuing theory is a powerful operational research tool which assists managers to\u00a0<\/span><span style=\"font-size: 19px; color: var( --e-global-color-text );\">make vital decisions capable of optimizing the performance of a health system facility, minimize operational costs\u00a0<\/span><span style=\"font-size: 19px; color: var( --e-global-color-text );\">and enhance the satisfaction of all interest groups.<\/span><\/p><p style=\"text-align: justify;\"><span style=\"font-size: 19px; color: var( --e-global-color-text );\"><b>Objective:<\/b> To simulate the queuing model in the outpatient pharmacy in order to evaluate its performance and to\u00a0<\/span><span style=\"font-size: 19px; color: var( --e-global-color-text );\">develop necessary strategies for optimizing dispensing service.<\/span><\/p><p style=\"text-align: justify;\"><b>Methods:<\/b> The study was carried out at the Pharmacy Unit of Family Medicine \/ General Outpatient Department\u00a0<span style=\"font-size: 19px; color: var( --e-global-color-text );\">(GOPD) of Lagos University Teaching Hospital employing workflow analysis and time study. A sample size of 123\u00a0<\/span><span style=\"font-size: 19px; color: var( --e-global-color-text );\">Ambulatory Patients was studied and data were collected daily over a period of four weeks. Data analysis was done\u00a0<\/span><span style=\"font-size: 19px; color: var( --e-global-color-text );\">using SPSS version 10.0 to determine waiting time for prescription validation and assessment, payment, filling,\u00a0<\/span><span style=\"font-size: 19px; color: var( --e-global-color-text );\">collection and counselling. The queuing system in Pharmacy was then simulated to determine measures such as\u00a0<\/span><span style=\"font-size: 19px; color: var( --e-global-color-text );\">Service Utilization Factor, Average Queuing Time in the queue and in the system, Average number of patients in\u00a0<\/span><span style=\"font-size: 19px; color: var( --e-global-color-text );\">queue and in the system, Waiting cost and Service cost all of which are necessary for evaluating service delivery in\u00a0<\/span><span style=\"font-size: 19px; color: var( --e-global-color-text );\">the outpatient setting.<\/span><\/p><p style=\"text-align: justify;\"><b>Results:<\/b> The study revealed a total patient waiting time of 79.24 min with the process component accounting for\u00a0<span style=\"font-size: 19px; color: var( --e-global-color-text );\">7.9 \u00b1 5.58 min (9.97%) and delay component responsible for 71.34 \u00b1 66.93 min (90.03%). It was established that\u00a0<\/span><span style=\"font-size: 19px; color: var( --e-global-color-text );\">optimal service delivery would be achieved with two service points requiring six pharmacists in the pharmacy unit.\u00a0<\/span><span style=\"font-size: 19px; color: var( --e-global-color-text );\">This arrangement is expected to give an 88.1% reduction in mean total patient waiting time and 50% deduction in\u00a0<\/span><span style=\"font-size: 19px; color: var( --e-global-color-text );\">total cost when compared with existing system.<\/span><\/p><p style=\"text-align: justify;\"><b>Conclusion:<\/b> Significant reduction in waiting time can be made by facilitating service delivery at the prescription\u00a0<span style=\"font-size: 19px; color: var( --e-global-color-text );\">validation and assessment point. The excessive waiting time contributed by delay components underscored the\u00a0<\/span><span style=\"font-size: 19px; color: var( --e-global-color-text );\">need to employ more pharmacists to improve on the service system. Service efficiency would be optimized by\u00a0<\/span><span style=\"font-size: 19px; color: var( --e-global-color-text );\">increasing the number of service points to two in order to minimize the total operating costs.<\/span><\/p><p style=\"text-align: justify;\"><b>Keywords:<\/b> Waiting time, Queuing model, Outpatient pharmacy, Optimizing dispensing service.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1ce7b6ec elementor-align-right elementor-widget elementor-widget-button\" data-id=\"1ce7b6ec\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/wapcpharm.org\/journal\/wp-content\/uploads\/2023\/07\/Chapter-6_compressed-1.pdf\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Download <\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Using the queuing model to evaluate and predict optimum outpatient pharmacy dispensing service in\u00a0Lagos University Teaching Hospital \u00a0 Waheed A. Adeoye , Patrick O. Erah , Babafemi O. Macauley \u00a0 1Department of Pharmacy (Drug Production \/ In-Patient), Lagos University Teaching Hospital,\u00a0Idi &#8211; Araba, Lagos, Nigeria; \u00a0 2Department of Clinical Pharmacy and Pharmacy Practice, Faculty of [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[229],"tags":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/wapcpharm.org\/journal\/wp-json\/wp\/v2\/posts\/4070"}],"collection":[{"href":"https:\/\/wapcpharm.org\/journal\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wapcpharm.org\/journal\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wapcpharm.org\/journal\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/wapcpharm.org\/journal\/wp-json\/wp\/v2\/comments?post=4070"}],"version-history":[{"count":4,"href":"https:\/\/wapcpharm.org\/journal\/wp-json\/wp\/v2\/posts\/4070\/revisions"}],"predecessor-version":[{"id":4076,"href":"https:\/\/wapcpharm.org\/journal\/wp-json\/wp\/v2\/posts\/4070\/revisions\/4076"}],"wp:attachment":[{"href":"https:\/\/wapcpharm.org\/journal\/wp-json\/wp\/v2\/media?parent=4070"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wapcpharm.org\/journal\/wp-json\/wp\/v2\/categories?post=4070"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wapcpharm.org\/journal\/wp-json\/wp\/v2\/tags?post=4070"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}