NUR 305 Module 5 Short Paper example

Reviewed by Delia Ravenscroft, MSN, RN Information Management and Patient Care Technologies Southern New Hampshire University Full sample paper Free custom sample in 24 to 48h

Presented complete, this NUR 305 Module 5 short paper evaluates one patient care technology from the nurse's side: an electronic hand hygiene monitoring system piloted on a medical unit, compared with the secret-shopper audits it would replace. It explains why the audit showed 94 percent compliance while the sensors showed far less, what each method measures, and what nurses need before the data are used. The unit is a composite.

What this page holds

This is a finished NUR 305 Module 5 short paper evaluating electronic hand hygiene monitoring as a patient care technology, including a comparison table of measurement methods, formatted in APA 7 with margin notes and references. Searches like "nur 305 module 5 assignment", "nur305 module 5 short paper" and "nur 305 module 5 example" land here.

The NUR 305 Module 5 example, in full

1

Ninety-Four Percent or Fifty-One? Evaluating Electronic Hand Hygiene Monitoring on a Medical Unit

[Student Name]

Southern New Hampshire University

NUR 305: Information Management and Patient Care Technologies

Module Five Short Paper

[Instructor Name]

[Date]

The organization, setting and figures below are a composite written as a model document. No real employer, client, colleague or patient is described.

What this page is doingThe title opens with the two conflicting numbers at the heart of the paper, then states the task and setting. A puzzle in the title invites the reader into the analysis and signals that the paper is about measurement, which is the core informatics issue.
2

Ninety-Four Percent or Fifty-One? Evaluating Electronic Hand Hygiene Monitoring on a Medical Unit

For two years, the composite 32-bed adult medical unit in this paper reported hand hygiene compliance above 90 percent. The figure came from monthly direct observation audits in which trained observers watched staff and recorded whether they cleaned their hands when entering and leaving patient rooms. In the most recent quarter, observers recorded 188 opportunities and 177 hand hygiene events, a compliance rate of 94 percent. During the same quarter, the hospital piloted an electronic monitoring system on the unit. Sensors on soap and alcohol-based hand rub dispensers counted each use, and sensors at room doorways counted each entry and exit. The system recorded 41,260 room entries and exits and 21,040 dispenser uses, an estimated compliance of 51 percent.

The difference between 94 and 51 percent is too large to be explained by chance. This paper evaluates the electronic monitoring system as a patient care technology by asking what each method actually measures, what the evidence says about the gap, and what conditions should be met before the unit relies on the new data.

What this page is doingThe introduction presents two numbers for the same behavior, each with its count and denominator, and shows the arithmetic. That puzzle makes the purpose of the paper clear and demonstrates the data literacy the course is trying to build.
3

Three Ways to Measure Hand Hygiene

Hospitals generally use three approaches, and each captures something different (Boyce, 2011). The table below summarizes them.

Table 1

Methods of Measuring Hand Hygiene and Their Tradeoffs

MethodWhat it countsMain strengthMain weakness
Direct observationHand hygiene at defined moments, judged by a trained observerCan judge whether hand hygiene was needed and done at the right timeSmall samples; staff change behavior when watched
Product consumptionVolume of soap and hand rub used over a periodInexpensive; no observer effectCannot link use to opportunities or to individuals
Electronic monitoringDispenser uses, often matched to room entries and exits or to individual badgesVery large samples, around the clockCounts proxies for opportunities; may miss or misclassify events
What this page is doingThe table compares the methods along the same dimensions, which makes their tradeoffs visible at a glance. Citing a review for the categories grounds the comparison in the literature rather than in the writer's opinion.
4

Explaining the Gap

Two explanations account for most of the difference on the pilot unit. The first is the Hawthorne effect, the change in behavior that occurs when people know they are being observed. In a study that used an electronic system to count hand hygiene events in hallways, Srigley et al. (2014) found that the rate of hand hygiene events was about three times higher when auditors were visible than when they were not. Staff on the pilot unit knew the observers by sight, so the monthly audits likely captured behavior at its best rather than its usual level.

The second explanation is what the electronic system counts as an opportunity. Doorway sensors register every entry and exit, including a nurse stepping in to silence an alarm without touching the patient or the environment, or leaving a room briefly and returning. Some of those events may not require hand hygiene under the guidance the unit uses, while others that do require it, such as moving from a contaminated body site to a clean one during care, happen inside the room where doorway sensors cannot see them. The electronic estimate of 51 percent is therefore not simply the true rate. It is a different measure, closer to the frequency of cleaning at room entry and exit, with its own errors in both directions.

Reviews of electronic systems reach a similar conclusion. A systematic review of automated and electronically assisted hand hygiene monitoring found a wide range of systems and study designs, with limited evidence on accuracy and on whether monitoring by itself improves compliance or reduces infections (Ward et al., 2014). The strongest reported benefits came when systems were paired with feedback to staff rather than used only to generate reports.

What this page is doingTwo explanations are offered, one behavioral and one technical, and each is supported with evidence or a concrete example. Recognizing that the electronic figure is a different measure rather than the truth shows mature judgment about data. The review then tempers expectations about what the technology alone can achieve.
5

Evaluating the Technology for Nursing

The system offers real benefits. It measures around the clock, across every shift and weekend, and on a scale no audit could match. It is far less affected by the Hawthorne effect, so its trends over time are more likely to reflect usual practice. It can give units near real-time feedback, which the review suggests is where improvement comes from. It also frees infection prevention staff from spending hours on direct observation.

Nurses also have legitimate concerns. The first is accuracy: a compliance figure that counts silencing an alarm as a missed opportunity will feel unfair and may be ignored. The second is surveillance: systems that identify individual staff through badges can be used for discipline rather than improvement, which may damage trust and lead staff to game the sensors. The third is workload: if dispensers are empty, broken or placed awkwardly, low compliance may reflect equipment problems that nurses are then blamed for. Each concern can be addressed, but only if nurses are involved in decisions about how the data are defined, displayed and used.

Conditions for Adoption

The evaluation supports adopting the system on four conditions. First, the unit should report the electronic measure under its own name, such as room entry and exit hand hygiene, rather than treating it as a replacement for the audited compliance rate, and should continue a smaller program of direct observation for moments inside the room. Second, data should be shared as unit-level trends at huddles, not as individual rankings, for at least the first year. Third, the unit should review dispenser placement and function monthly, since those factors are within the organization's control. Fourth, nurses should help set the rules for which doorway events count, so that the measure reflects clinical reality. Adopted this way, the technology becomes a tool for improvement that nurses can trust rather than a surveillance system that tells them a number they do not believe.

What this page is doingThe conditions follow directly from the analysis and address both data accuracy and the human response to monitoring. The highlighted sentence summarizes the judgment in terms of trust, which is the factor most likely to decide whether the technology improves practice.
6

Conclusion

The gap between 94 and 51 percent on the pilot unit is not a contradiction but a lesson in what each measurement method captures. Direct observation overstates everyday compliance because staff behave differently when watched, while electronic monitoring counts proxies that miss some opportunities and misclassify others. The evidence suggests that electronic systems are most useful when paired with feedback and used for improvement rather than enforcement. With clear definitions, unit-level reporting, attention to equipment and nurse involvement, the system can give the unit a more honest picture of hand hygiene than it has had before.

References

Boyce, J. M. (2011). Measuring healthcare worker hand hygiene activity: Current practices and emerging technologies. Infection Control & Hospital Epidemiology, 32(10), 1016-1028. https://doi.org/10.1086/662015

Srigley, J. A., Furness, C. D., Baker, G. R., & Gardam, M. (2014). Quantification of the Hawthorne effect in hand hygiene compliance monitoring using an electronic monitoring system: A retrospective cohort study. BMJ Quality & Safety, 23(12), 974-980. https://doi.org/10.1136/bmjqs-2014-003080

Ward, M. A., Schweizer, M. L., Polgreen, P. M., Gupta, K., Reisinger, H. S., & Perencevich, E. N. (2014). Automated and electronically assisted hand hygiene monitoring systems: A systematic review. American Journal of Infection Control, 42(5), 472-478. https://doi.org/10.1016/j.ajic.2014.01.002

How this NUR 305 Module 5 example is structured

The paper begins with a puzzle from the pilot unit: two measures of the same behavior that disagree by more than 40 percentage points. It then explains the three main ways hospitals measure hand hygiene and what each can and cannot capture, summarized in a comparison table. The evidence section uses a study of the Hawthorne effect and two reviews to explain the gap and to assess what electronic systems have been shown to achieve. The evaluation section weighs benefits against concerns that matter to nurses, including accuracy, surveillance and how the data will be used. The conclusion states conditions for adopting the system.

Get NUR 305 Module 5 written to your instructions

Send the Module 5 prompt, its rubric and the technology you want to evaluate. You will receive a short paper built to those instructions within 24 to 48 hours, and the first sample is free. The paper above is an original model document written by our desk, not a submitted student paper and not an official Southern New Hampshire University document.

NUR 305 Module 5 questions, answered

What does NUR 305 Module 5 typically ask for?

Midway through the course, many sections ask students to examine a specific patient care technology or information system: what it does, how it affects nursing work, and what evidence supports it. The assignment may be a short paper, a discussion or a component of the final project. Check your classroom prompt for the required focus.

How do I evaluate a patient care technology in a nursing paper?

Describe what the technology measures or does, compare it with the current process, summarize the evidence on its accuracy and outcomes, and weigh benefits against costs, risks and effects on nursing workflow. Finish with a clear judgment and the conditions under which it should be used.

Is direct observation still the standard for hand hygiene?

Direct observation remains widely used and is recommended in international guidance because it can assess when hand hygiene is needed, not only when it happens. Its main weaknesses are small samples and changes in behavior when staff know they are being watched, which electronic systems are designed to address.