NURS 8210 · Week 10

NURS 8210 Week 10 informatics evaluation plan example

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Evaluation plans usually fail by measuring what is easy, and the plan here was written to measure what the rollout was bought to change. The technology is bedside barcode labeling for blood and specimen collection across the inpatient units of an illustrative multi-hospital system, the outcome is mislabeled specimens, and the plan settles in advance what outcome would mean the rollout failed.

What this page holds

Baseline, measures, method and a declared failure threshold make up the NURS 8210 Week 10 informatics evaluation plan example, written for a system-wide specimen labeling rollout and organized with RE-AIM. Searches like "nurs 8210 week 10 assignment example", "nurs8210 week 10 sample" and "nurs 8210 week 10 example" land here.

What a finished NURS 8210 Week 10 informatics evaluation plan looks like

Eight pages and a measurement table. First, the problem as the steering group sees it: specimens labeled away from the bedside and the patient-safety events that follow. The framework section adopts RE-AIM, from Glasgow and colleagues, and uses all five dimensions: reach as the share of patients whose collections are scanned at the bedside, effectiveness as the mislabeled-specimen rate, adoption across units and staff roles, implementation fidelity including workarounds, and maintenance after the go-live team leaves. The measurement table gives each measure its definition, data source, frequency and owner, drawing baseline data from laboratory rejection logs and incident reports. Methods favor run charts with annotated go-live dates rather than trial designs. A declared failure threshold, set by the steering group before go-live, and a limitations section on causal claims close the plan.

How a NURS 8210 Week 10 example is structured

The framework organizes the plan, but the measurement table carries it, and the two are cross-referenced so each RE-AIM dimension points to its rows. Effectiveness is placed at the center because it is the reason for the purchase, while reach and adoption are positioned as explanations: if the outcome does not move, those rows will show whether the technology failed or was never used as designed. Balancing measures, such as collection time and printer downtime, sit beside the outcome so unintended costs cannot hide. The methods section explains why run charts suit an operational rollout and states the limits on attributing change to the technology alone. The failure threshold appears twice, in the summary and at the end, because a plan that can declare failure is what makes the evaluation credible to executives. Maintenance measures extend a year beyond go-live.

RE-AIM, all five dimensions

Reach, effectiveness, adoption, implementation and maintenance, each defined for this rollout rather than in general. No dimension is skipped or merged.

A measurement table with owners

Definition, data source, frequency and accountable role for every measure. Baseline comes from laboratory rejection logs and incident reports already collected.

Balancing measures beside the outcome

Collection time and printer downtime are tracked alongside mislabeling, so a safety gain bought with a workflow loss is visible.

Run charts, not a trial

Annotated run charts suit an operational rollout. The methods section states what they can and cannot show about cause.

A threshold set in advance

The steering group declares before go-live what result would signal failure, and the plan names who would make that call.

Where marks go in NURS 8210 Week 10

Two questions govern an evaluation plan's grade: could it actually be run, and could its results change a decision? A plan that measures only staff opinions of a safety technology has left its central criterion unaddressed, and doctoral graders notice immediately. RE-AIM earns credit only when every dimension is operationalized for this technology, each paired with its own measure and data source; naming the five dimensions without measures earns little. The declared failure threshold and the baseline source are the two features graders most often look for and least often find. Methods are judged on fit: QI evaluation language suits an operational rollout, and trial vocabulary signals a mismatch. Balancing measures show systems thinking. APA, table clarity and organization fill in the rest.

Get a NURS 8210 Week 10 example written to your instructions

Evaluation prompts sometimes attach to the technology proposed earlier in the term; if so, send that proposal along with the prompt and rubric. A custom plan returns in 24-48h, first free, with the measurement table editable and every RE-AIM dimension given at least one measure you could actually collect.

NURS 8210 Week 10 questions, answered

Why RE-AIM rather than a simple before-and-after comparison?

A before-and-after comparison can show whether the outcome moved but not why. RE-AIM adds reach, adoption, implementation and maintenance, which explain a disappointing result: whether the technology failed or was bypassed. For a system-wide rollout, that explanatory power is what leadership needs to decide between fixing, expanding or abandoning the investment. Some prompts name a different framework, and the desk follows it.

Does the plan count as research needing review board approval?

It is framed as quality improvement evaluation of an operational change, as operational rollouts commonly are, but the plan does not make that determination itself. It notes that the organization's own review process decides whether a project needs board review, especially if results will be published. The distinction is described, not asserted, and the plan names who would ask the question.

Is this plan tied to the business case from Week 8?

Not in this example, which evaluates a different technology so each page stands alone. In many sections, though, the evaluation plan follows the technology proposed earlier, and the two should share a problem statement and measures. When yours are linked, sending the earlier paper lets the desk carry its declared measures forward instead of inventing new ones.