Nurses’ Satisfaction with a Web-Based Application for Calculating Nursing Staff Based on Patient Dependency Levels and Unit Workload in Hospitals

Abstract

Complaints from nurses are often received by nursing managers regarding staff shortages, which leads to increased workload. Determining the unquantifiable level of workload poses a challenge, as the head nurse cannot accurately assess the number of staff shortages in the hospital room. Therefore, this study aims to develop a web-based application for the calculation of nursing staff needs based on patient dependency levels and unit workload. The application is accessible through both mobile and web platforms. A pre-experimental one-shot case study design, including 25 nurses, was used at a hospital in West Java. Measurements were conducted only during the post-test phase. The results showed that the majority of respondents were female (80%), who held a Diploma degree (76%), and worked as managers (48%). The average age of respondents was 34.3 ± 7.27 years, with a median experience of 5.0 ± 728 years. Generally, nurses' satisfaction with the application was at a moderate satisfaction, with an average satisfaction rate of 72.4%. A more detailed breakdown showed satisfaction scores of 74%, 71.4%, 75%, 70%, and 70.8% for content, format, accuracy, timeliness, and ease of use, respectively. Satisfaction with the application needs to be improved, specifically for timeliness and ease of use. This application was developed as a potential method for efficiently assessing staffing needs. Providing adequate training for nurses is essential to enhance the effectiveness and usability of the application in hospital settings.