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D 159 Task 2: Fall Prevention Initiative at Safe Steps Healthcare Facility
- D 159 MCM3 Assignment
Fall Prevention Initiative at SafeSteps Healthcare Facility
Student name
Western Governors University
Leavitt School of Health
Name of Instructor
Submission date
The SafeSteps healthcare facility’s fall prevention program is designed to ensure that patients can receive the best possible care in an environment where the risks of falling are minimized and patient safety is enhanced through several strategies, including (1) making environmental changes and (2) making changes to the way that staff interact with patients (Cvetković et al., 2024). Fall prevention makes use of the new technologies and modern teaching strategies to achieve the goals of the program.
Healthcare professionals are made aware by this program of possible fall risk situations and how to act on those situations appropriately. The project gathers objective data to provide insights into the effectiveness of the effort, in support of future patient safety efforts, to obtain this 30% reduction in falls by March 31, 2025. The ultimate aim of the project is to enhance the outcomes for patients, whilst also making the hospital a safer place to work. Such programs will also help to ensure patient safety and compliance with the standard, best practices used in hospitals (Cvetković et al., 2024).
Phase 1: Planning and Data Collection
The development of the fall prevention strategy in the center is shown in the project plan, and the required tasks and timing are outlined.
CPE Schedule Table with Tasks and Timeline
This table presents detailed project activities or tasks, their expected completion date, and the date by which the project goals are to be achieved.
| Task | Description | Estimated Time to Complete | Estimated Date of Completion |
| CPE Schedule Setup | Set up the general timeline and work for the project. | Two hours | 01/24/2025 |
| Project Report Development | Fill out the Project Report Template with information about the elements of the project. | Three hours | 01/25/2025 |
| GoReact Video Reflections | Make and edit a video to reflect on project work. | Two hours | 01/26/2025 |
| Peer Responses & Screenshots | Watch and reply to others’ videos, take screenshots to document. | Two hours | 01/27/2025 |
| Summary Writing | Compose a summary of the video reflection from Phase 1. | One hour | 01/28/2025 |
Project Report
All key project components are arranged so that they can be presented. The project report gathers and presents all key project information, goals, and approaches in an understandable format to aid management.
| Project Report Template | |
| Project Plan | Fall Prevention Initiative at SafeSteps Healthcare Facility |
| Project Manager | |
| Essential Data Needed for Data Analysis | 1. Number of falls/fall episodes per person per day in the inpatient unit.2. The number of initiatives started for carrying out the new protocol for falls prevention. Number of staff trained in the new fall prevention protocol.3. Number of patients who had a fall-risk evaluation. |
| Protection of Data Plan | Anonymized numbers (Azees et al., 2021) will be used for the privacy of the data. Data will be moved over encrypted network connections, and staff with approved access will have secure access to sensitive data through approved accounts. |
| Result Presentation Plan | Data will be presented in a generated report by the system with visual charts and graphs to illustrate the results (Akano et al. 2024). A dashboard displays live data regarding the project’s progress as it works towards the project’s goals. |
| Identified Project Team Members | Clinical Analyst: Develops and reviews clinically-related fall reports.Nurse Educator: Trains staff on a training program to develop knowledge and skills.Risk Management Officer: Risk management Officer to carry out fall assessment and assist and foster the measures related to fall safety. (Leoneili, 2021). |
| Targeted Metrics | The new fall prevention program “training rate” by the nursing staff is KPI #1.Over target: All staff will be trained by the end of Q3 2025.KPI #2: The number of all patients with fall risk who have fall charges.Target: Regularly (monthly) use the standard assessment approach (see Barmentloo et al., 2021) to assess all patients at high risk for falling. |
Screenshots for Phase 1 Documentation
Written Summary of Phase 1 Video Reflection
SafeSteps Healthcare Facility’s first step in the Safe Fall Prevention project was to establish a clear framework for an important project that ultimately seeks to reduce the number of falls that occur in patients. Initially, we introduced the timeline and identified the project tasks so that they could understand the roles they were supposed to play and be able to easily visualise the project path (Dhanasekar et al., 2019). The data required for the study were provided within the project report, such as the number of falls that occurred in each inpatient area.
The majority of this development phase of the project entailed securing information that was gathered during the monitoring process. All the patients’ identifying data were replaced with random identifiers (ID), making it not possible for the doctors and other people involved with the patients to see the actual names or other identifying data on the patients. Methods such as password protection to prevent unauthorized access and ensure the reliability of the data were identified as a way to protect patients’ medical records.
We built a report of the data we’ve found and have a tracking system in place, which gives us real-time data on our dashboard, so we can see how the project is doing against the project’s goals. Also, this report will help to detect defects earlier, which could be responsible for failing to deliver the project.
I have learned to improve my way of delivering projects with my peers, using GoReact. I was able to talk to my peer about the development of his/her project and learn new strategies from my peer that I could put in my project with the help of the screenshots that my peer provided. I found that these screenshots gave lots of ideas on how my peers’ projects evolved, so it gave me lots of ideas on how to evolve my own project on the computer.
In this stage of implementation, the reflection video allowed the Team members to reflect on the challenges faced in the Project while also revisiting the benefits experienced earlier in the Project. The reflection video also provided the Team members with an opportunity to re-establish and rekindle positive attitudes towards the achievement of Project goals prior to envisioning future Phase goals (Cvetković et al., 2024). The opportunity for Team Reflections allowed the Team members to stay focused on working toward their Nursing Care Goals and assisted in decreasing the number of falls in the hospital facility.
Phase 2: Data Management and Analysis
In this part of the project, the data will be analysed and enhanced to enhance the decision-making process.
CPE Schedule Table with Tasks and Timeline
All task names will be listed in the CPE schedule to ensure a good data management and analysis system. All the task activities are also shown with an estimated completion (due) date.
| Task | Description | Estimated Time to Complete | Estimated Date of Completion |
| Data Management Plan Development | To develop the management plan using the given template. | Three hours | 02/01/2025 |
| System Setup for Data Collection | Implement and test the system-generated reporting and dashboard setup as outlined in the project plan. | Four hours | 02/04/2025 |
| GoReact Video Reflections | Record a reflection video discussing the setup and early challenges of the data management system. | Two hours | 02/07/2025 |
| Peer Responses & Screenshots | Review and respond to peer reflections on GoReact, capture screenshots of key interactions, and document insights gained that could influence further data management strategies. | Two hours | 02/08/2025 |
| Data Review and Preliminary Analysis | Begin the initial review and analysis of collected data. Identify any trends or differences and adjust the data collection parameters if necessary. | Five hours | 02/12/2025 |
| Write Phase 2 Reflection Summary | Summarize the experiences, challenges, and achievements of phase 2 with a focus on the management and analysis of data. | Two hours | 02/15/2025 |
Data Management Plan
The information that is provided in this document includes all methods of collecting, handling, and/or processing any information related to the project. Furthermore, this document describes both the organization of data and how it will be handled throughout the course of the project; therefore, all members of the project team will have access to the information that is produced throughout the life of the project in order to make decisions as the project progresses.
| Data Management Plan | |
| Three Data Elements | 1. Number of falls per inpatient unitThis monitoring system will reveal in individual inpatient units how many patients are falling.2. Number of staff trained on the new fall prevention protocol.This is a gauge of the medical staff’s fall prevention training.3. The number of fall risk assessments completed for patients at risk of a fallFall risk is assessed at least once a year for those most at risk; the evaluation process is used by the program to monitor the frequency and timing of fall risk assessments. |
| Data Sources (That Will Be Used to Measure the Success of the HIP) | All three data elements are accessed using way of the organization’s secure database and Electronic Health Record (EHR) system. The system allows access to accurate medical information and data on a real-time basis, as per Mahajan et al. (2022). |
| Process Key Performance Indicators (KPIs) | Nursing staff members should receive the new fall prevention training 90 % of the way through, by the end of Q3 2025.Monthly, all the individuals who require care for fall prevention are given risk assessment monitoring. |
| Benchmark Aligned to the SMART Goal | The SMART project aims to lower fall incidence by 30% before March 31, 2025. The project measures changes against the historical fall data acquired during the prior year and pursues at least 30% reduction compared to our initial data collection point in March 2025 (Love & Ika, 2021). |
| Process for Collecting Quantitative Data | The system collects patient data by running reports that extract data straight from the EHR system. The system will automatically produce scheduled weekly reports to keep data insights up-to-date (Khatiwada et al., 2024). |
| How the Organization Would Like to Protect Its Data | Data confidentiality will be ensured by:· The reports work only with patient data that has been made anonymous.· Users can only access data through their personal secure login ID.· The security solution applies encryption protection to both stored and transmitted data. |
| Parameters Used to Collect Quantitative Data | The data collection will include:· The system automatically creates weekly reports from project day one.· The system tracks deidentified patient details along with fall statistics, plus staff training achievements and assessment times (Chiu, 2024). |
| Method for Analyzing High-Priority Data | Data analysis will involve:· The analysis uses descriptive metrics to show how falls and training achievements occurred throughout the population.· The study will review changes between training methods and risk assessment performance over several periods. |
| Process for Interpreting the Results | Results will be interpreted through:· The team uses visual data analysis tools to show trends and bar charts across project dashboards.· Stakeholders meet regularly to examine project performance against SMART goals while updating project strategy (Oladapo et al., 2024). |
| Prediction of Issues That May Affect the Results | · Staff do not report falls because they worry about workplace consequences.· Risk assessments become less precise because assessment teams use personal judgment during process steps (Love & Ika, 2021). |
Phase 2 Go React Video Reflection
Written Summary of Phase 2 Video Reflection
The Phase 2 video reflection at SafeSteps Healthcare Facility allowed us to demonstrate the full picture of data management for fall prevention research, as well as set up and validate the automated reports dashboard created by our team, and establish necessary KPI data that had to be captured for the reports/dashboard to work as it was designed and for the strict data protection policy requirements.
The team put in place key systems to manage patient information, such as the system described by Hek et al. (2022), known as the EHR system. This EHR tool enabled accessing real-time data on fall incidents at the unit, training of staff members on fall prevention methods, and the frequency of assessment of the high-risk patients.
Our team reviewed our initial data and determined what would need to be reconfigured in our data collection settings in order to meet the needs of our project. At this step of the process, data accuracy is crucial, as it will impact the effectiveness of the treatment modalities (Aldoseri et al., 2023). Our processes were quick to adapt in order to enable this project to be accomplished in a timely fashion, despite initial challenges with new processes in the day-to-day operations of our office.
The ability for our team to work together on the project, and also to have the opportunity to gain insight into the things their fellow team members were looking at and doing on the platform through visual conversations on the GoReact platform, was beneficial to the project. Collectively, our team has been able to develop and enhance our working practices, and provide training for all staff to taught to support our shared aspiration to reduce the number of falls.
Conclusion
SafeSteps Healthcare Facility undertook some preliminary work around falls reduction, which has seen success and is effective in preventing patient harm through a measurable outcome. By taking action in areas of organised planning, timely data management, and educating all staff, the aim of reducing the number of Falls by 30% to be achieved by March 31st, 2025, was realised.
Through teamwork and partnership, including data-driven efforts to make our health care better, we are one step closer to achieving our goal of reducing falls by 30%. The way to achieve better results will have to continue to be monitored to ensure continued success. Our patients will benefit from the new process, and it will continue to allow us to strive to deliver the highest levels of quality healthcare.
References
Akano, O., Hanson, E., Nwakile, C., & Esiri, A. (2024). Designing real-time safety monitoring dashboards for industrial operations: A data- driven approach. Global Journal of Research in Science and Technology, 2024(02), 1-009. https://doi.org/10.58175/gjrst.2024.2.2.0070
An efficient anonymous authentication and confidentiality preservation scheme for secure communications in wireless body area networks. Wireless Networks, 27(3), 2119–2130. https://doi.org/10.1007/s11276-021-02560-y
Chiu, jared. (2024, November). Applications of semi-markov models to investigate the associations of hospital capacity strain, inpatient falls, and fall-risk assessment completion. Scholaris.ca. https://utoronto.scholaris.ca/items/ea1ef63c-4a33-4138-9ea4-ee82f7cd81f5
Cvetković, V. M., Tanasić, J., Renner, R., Rokvić, V., & Beriša, H. (2024). Comprehensive risk analysis of emergency medical response systems in serbian healthcare: Assessing systemic vulnerabilities in disaster preparedness and response. Healthcare, 12(19), 1962. https://doi.org/10.3390/healthcare12191962
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Hek, K., Rolfes, L., van Puijenbroek, E. P., Flinterman, L. E., Vorstenbosch, S., van Dijk, L., & Verheij, R. A. (2022). Electronic health record–triggered research infrastructure combining real-world electronic health record data and patient-reported outcomes to detect benefits, risks, and impact of medication: Development study. JMIR Medical Informatics, 10(3), e33250. https://doi.org/10.2196/33250
Khatiwada, P., Yang, B., Lin, J.-C., & Blobel, B. (2024). Patient-Generated Health Data (PGHD): Understanding, requirements, challenges, and existing techniques for data security and privacy. Journal of Personalized Medicine, 14(3), 282–282. https://doi.org/10.3390/jpm14030282
Mahajan, H. B., Rashid, A. S., Junnarkar, A. A., Uke, N., Deshpande, S. D., Futane, P. R., Alkhayyat, A., & Alhayani, B. (2022). Integration of healthcare 4.0 and blockchain into secure cloud-based electronic health records systems. Applied Nanoscience, 5(2). https://doi.org/10.1007/s13204-021-02164-0
