Six of Eleven Falls Began With a Trip to the Bathroom: Mapping the Data Needed to Ask Whether Call Light Response Time Is Linked to Falls on a Medical-Surgical Unit
[Student Name]
University of Phoenix
NSG/541: Data Analysis and Management
Week 1 Assignment
[Instructor Name]
[Date]
The hospital, the unit and all data are a composite written for a model paper.
In the past three months, patients fell eleven times on the 32-bed medical-surgical unit where I work as the informatics nurse for the medical service. When the unit's falls committee reviewed the event reports, six falls happened while a patient was going to or from the bathroom, and in several reports the patient said they "rang and waited." The committee asked whether slow responses to call lights were contributing to falls and whether the data to answer that question existed. This paper frames the question and maps the data.
The Question
The question has two parts. For quality: how quickly does staff respond to call lights on the unit, and does response time vary by type of call and time of day? For risk: are delayed responses associated with falls, especially elimination-related falls? The answer could change how the unit organizes its work, but only if the data are good enough to trust.
Why This Question Is Worth Asking
The question is grounded in evidence. In a prospective study of 183 inpatient falls in one hospital, half were related to elimination, 85% happened in the patient's room and 59% happened in the evening or overnight, and elimination-related falls carried a higher risk of injury (Hitcho et al., 2004). An exploratory study in four U.S. hospitals using archived data found that faster call light response time was associated with lower total and injurious fall rates after controlling for other factors (Tzeng et al., 2012). If a patient who needs the bathroom waits too long, some will try to go alone, and the data needed to see that pattern are scattered across at least four systems.
Data Source 1: The Nurse Call System
The nurse call system records every call from a patient room, bathroom or staff station. For this question, the needed fields are the room and bed, the call type, such as standard, bathroom pull cord, staff assist or emergency, the time the call was placed, the time it was canceled and where it was canceled, at the bedside or at the nurse station. The system also records calls routed to staff phones and whether the phone call was answered. The system keeps these logs for 180 days on a server managed by the facilities department, not by clinical informatics, and the data are not in the electronic health record.
Data Source 2: The Electronic Health Record
The electronic health record holds the patient-level data needed to interpret calls and falls: the patient's identity and bed assignment over time, admission and transfer times, fall risk scores, documented toileting assistance needs, mobility orders, sedating medications given and times of administration. Bed assignment history is essential, because the nurse call system knows only rooms, and linking a call to a patient requires knowing who was in the bed at that minute.
Data Source 3: Event Reports
The event reporting system holds fall reports, with the date and time of the fall, location, activity at the time, injury level and a narrative. The time field is entered by the reporting nurse and may be approximate. Fall reports are the source of the outcome measure.
Data Source 4: Staffing and Census
The staffing system holds the number of nurses and assistants scheduled and working for each shift, and the unit's midnight census gives patient days. These are needed because response time may depend on workload; Tzeng and Larson (2011) found that response time was longer when patients' call light use was higher and length of stay shorter, independent of nursing hours.
Linking the Sources
To answer the question, calls must be linked to patients and falls. The linking keys are room and bed, and time. That makes time accuracy critical: if the nurse call server's clock and the electronic health record's clock differ, a call and a fall that happened minutes apart could appear hours apart or in the wrong order. Patient identity for each call comes from bed assignment history in the record, matched by room, bed and time.
Who Needs the Answer
The results will serve several people. The falls committee needs to know whether to target response time. The unit manager needs to know when and where delays happen to adjust assignments. Nurses and assistants need feedback on a part of their work that is rarely measured. The patient safety office needs to know whether fall reports should capture call light information. Each of these users will need the data presented differently, which shapes how the data should be organized from the start.
Privacy and Access
Nurse call logs on their own contain rooms and times, not names, but once linked to bed assignments they identify patients and become protected health information. The analysis will therefore be done inside the hospital's secure analytics environment, with access limited to the people doing it, and only aggregated results will leave it.
Gaps Identified
Several gaps are visible before any data are extracted.
First, ownership: nurse call data are managed by facilities, so a data request, a security review and approval from the director of facilities are needed.
Second, retention: logs are kept for only 180 days, so the analysis can look back only six months unless retention is extended.
Third, meaning of cancellation: a call canceled at the nurse station does not mean anyone went to the room, so response time measured to that cancellation would be misleading.
Fourth, missing context: the nurse call system does not record why the patient called, so bathroom needs can be identified only when the patient used the bathroom pull cord or when staff documented toileting.
Fifth, fall time accuracy: approximate times in event reports weaken the link between calls and falls.
Recommendations for Additional Data
Two additions would strengthen the analysis. The unit could ask nurses to record the reason for a call on the badge when they respond, which the system supports but no one uses. And the event report could require the time of the fall to the nearest five minutes, with a prompt to note whether a call light was on.
A Note on Scope
The question is deliberately narrow: response to calls and falls on one unit. It does not attempt to evaluate all fall prevention, which would require data on bed alarms, sitters and medications beyond this course's scope.
Plan for the Coming Weeks
Week 2 will assess the quality of these data sources, Week 3 will define the measures precisely, Week 4 will extract, clean and organize the data, Week 5 will analyze them and Week 6 will make recommendations.
Conclusion
A question from the falls committee, whether slow call light responses are contributing to falls, requires data from four systems: nurse call logs, the electronic health record, event reports and staffing. Mapping the fields exposed the essential links, room, bed and time, and five gaps that could undermine an analysis if not handled. The rest of this course will turn these sources into an answer.
References
Hitcho, E. B., Krauss, M. J., Birge, S., Dunagan, W. C., Fischer, I., Johnson, S., Nast, P. A., Costantinou, E., & Fraser, V. J. (2004). Characteristics and circumstances of falls in a hospital setting: A prospective analysis. Journal of General Internal Medicine, 19(7), 732-739. https://doi.org/10.1111/j.1525-1497.2004.30387.x
Tzeng, H.-M., & Larson, J. L. (2011). Exploring the relationship between patient call-light use rate and nurse call-light response time in acute care settings. CIN: Computers, Informatics, Nursing, 29(3), 138-143. https://doi.org/10.1097/NCN.0b013e3181fc41d9
Tzeng, H.-M., Titler, M. G., Ronis, D. L., & Yin, C.-Y. (2012). The contribution of staff call light response time to fall and injurious fall rates: An exploratory study in four US hospitals using archived hospital data. BMC Health Services Research, 12, Article 84. https://doi.org/10.1186/1472-6963-12-84
How this NSG 541 Week 1 example is structured
The NSG/541 description centers on managing data generated from the electronic health record, recommending additional data or new ways to sort current data to support quality, risk or trend analysis. This paper starts from a risk question, then maps data sources at the level of fields, including data from systems connected to the record, and ends by naming the data that are missing, which the later weeks will address. Students search this week as NSG 541 Week 1, NSG541 Wk 1 or NSG/541 Wk 1; all three are the same assignment.
NSG/541 Week 1 questions, answered
What does NSG/541 Week 1 usually ask for?
The course description centers on managing EHR data to support quality initiatives, risk management or trend analysis. Many sections begin by framing a question and mapping the data sources and fields needed to answer it.
Is the nurse call system part of the electronic health record?
Usually not. Nurse call systems are separate clinical systems, often integrated with staff phones or badges, but their data can be linked with EHR data for analysis if the two share room, time and patient identifiers.
Why map data to the field level?
Because an analysis depends on specific fields, such as a timestamp or a room number, and whether they exist, are complete and can be joined. Naming systems alone hides these problems.
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