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Data Analysis Shanta McGraw Southern New Hampshire University HIM-550-Q2400: Data Management & Data Quality 23TW2 Jennifer Horner 1/14/24
Data Analysis Analysis of the patient fall data: Prevalence: The data shows 82 falls over the 4 quarters. Fall rates per 1,000 patient days were: - Q1 - 1.8 - Q2 - 1.5 - Q3 - 2.1 - Q4 - 1.7 The fall rate increased in Q3 compared to Q2, indicating a worsening trend over that period. Patterns: 62% of falls occurred in patients over age 65, suggesting age is a major risk factor. 78% of falls were on medical-surgical units versus ICU or obstetrics. Med-surg units see more ambulatory patients at higher fall risk. 59% of the falls happened between 7pm and 7am, pointing to potential inadequate staffing or lighting overnight. Fall rates did not vary significantly between nurses with less or greater than 5 years' experience. Root Cause Analysis: The high prevalence of falls in elderly patients indicates a need for improved screening and interventions for geriatric patients. Falls overnight suggest the need for increased staffing and enhanced safety protocols during night shift when staffing is lowered. Medical-surgical units should be prioritized for additional fall prevention training and monitoring. Added assistance for toileting, ambulation, and other high-risk activities should be implemented from 7pm-7am. Age and unit-specific risk factors should be addressed through tailored
interventions, with a focus on improving overnight safety through increased staffing and better fall prevention procedures. The data indicates inadequate fall risk assessment and mitigation, especially for higher risk elderly patients on medical-surgical units during night shift hours. Prevalence: The prevalence of falls is measured by the total number of falls that occurred over the 4 quarters, which was 82 in this case. Fall rates per 1,000 patient days were calculated for each quarter to provide a standardized measure. The fall rates per 1,000 patient days were as follows: - Q1: 1.8 falls - Q2: 1.5 falls - Q3: 2.1 falls - Q4: 1.7 falls The data shows that the fall rate increased in Q3 compared to Q2, indicating a worsening trend over that period. This suggests there may be factors contributing to an increased risk of falls during Q3 that must be addressed. Patterns: The analysis identified several patterns in the data: Age: 62% of falls occurred in patients over the age of 65, indicating that age is a major risk factor for falls. This highlights the need for specific interventions and precautions for elderly patients to prevent falls. Unit type : 78% of falls occurred on medical-surgical units, which suggests that these units have a higher number of ambulatory patients who are at a greater risk of falling. It is important to focus on fall prevention strategies and training on these units to address the specific risks associated with ambulatory patients.
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Time of day : 59% of falls happened between 7pm and 7am, indicating that there may be factors related to staffing or lighting during the night shift that contribute to falls. This suggests a need for increased staffing and enhanced safety protocols during these hours to mitigate the risk of falls. Nurse experience : The analysis found no significant difference in fall rates between nurses with less than 5 years of experience and those with greater than 5 years of experience. This indicates that fall prevention strategies should be implemented consistently across all nursing staff, regardless of their experience level. Root Cause Analysis: Based on the patterns identified in the data, several root causes can be inferred: Age-related risk: The high prevalence of falls in elderly patients suggests a need for improved screening and interventions specifically tailored for geriatric patients. This may include comprehensive fall risk assessments, mobility aids, and education on fall prevention techniques. Night shift factors : The higher occurrence of falls during the night shift indicates a need for increased staffing and enhanced safety protocols during those hours. This could involve implementing regular patient checks, improving lighting conditions, and providing additional support to patients who may be more vulnerable to falls. Focus on medical-surgical units : Since most falls occurred on medical-surgical units, it is important to prioritize fall prevention training and monitoring on these units. This may involve education for staff members, implementing standardized protocols for fall risk assessment, and employing additional safety measures tailored to the specific needs of medical-surgical patients. Time-specific interventions : The analysis suggests that additional assistance for activities such
as toileting and ambulation should be implemented from 7pm to 7am, which aligns with the period of increased fall occurrence. This can help address the higher risk of falls during those hours. The analysis of the patient's fall data highlights the need for targeted interventions to address the specific risk factors identified, such as age, unit type, time of day, and nurse experience. By implementing tailored strategies to mitigate these risks, healthcare facilities can work towards reducing the incidence of patient falls and improving patient safety.
References (2023) SouthernNewHampshireUniversity.JenniferHorner.HIM550Dataset.xlsx
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