Publications by authors named "Naser AlEnezi"

Ankle fractures which commonly require surgical intervention, often lead to subsequent implant removal, which traditionally involves general or regional anesthesia. This study evaluates the efficacy and safety of the Wide-Awake Local Anesthesia No Tourniquet (WALANT) technique as an alternative to general anesthesia (GA) for ankle implant removal. This single-center, prospective randomized controlled trial at a tertiary orthopedic center was conducted from June 2022 to August 2024.

View Article and Find Full Text PDF

Implementation of an electronic medical record (EMR) system increases efficiency of health services, quality of care and patient satisfaction. Successful implementation depends on many factors, one of which is how users respond to the new system. We studied medical receptionists' appraisal of the newly implemented EMR system in primary healthcare centres in Kuwait.

View Article and Find Full Text PDF

Background: Nurses working in Ministry of Health hospitals in Kuwait come from 35 countries, and only 12% of them are Kuwaitis. This study explores factors that influence the job satisfaction of nurses of multicultural background working in five general hospitals in Kuwait.

Objectives: This study aims to identify factors related to the job satisfaction of nurses and the effect of selected background characteristics (e.

View Article and Find Full Text PDF

Objective: Job satisfaction among nurses working in five general hospitals in Kuwait was analysed using a global scale based on the McClosky Mueller Satisfaction Scale (MMSS) in relation to selected background characteristics (eg age, gender, nationality, educational qualification, monthly salary and the departments in which they worked.

Design: The questionnaire was distributed to 500 nurses using a stratified random sample. The response rate was 87.

View Article and Find Full Text PDF

This paper presents a computer program developed in S-plus to estimate the parameters of covariate dependent higher order Markov Chain and related tests. The program can be applied for two states Markov Chain with any order and any number of covariates depending on the PC capabilities. The program provides the maximum likelihood estimates of the parameters, together with their estimated standard error, t-value and significance level.

View Article and Find Full Text PDF