NR 651 Week 6 Baseline Data Summary Example

Baseline Data Summary: Interpreter-Supported Discharge Teaching on Three Medical-Surgical Units, January to June 2026, From the Discharge Education Report

Student Name

College of Nursing, Chamberlain University

NR 651: Healthcare Policy Concluding Graduate Experience I

Instructor Name

Month Day, Year

Baseline Data Summary: Interpreter-Supported Discharge Teaching on Three Medical-Surgical Units, January to June 2026, From the Discharge Education Report

The Measure, as the System Defines It

Denominator: discharges of patients aged 18 or older from the three adult medical-surgical units in which the registration field "Interpreter needed" holds the value "Yes" at the time of discharge.

Numerator: those discharges in which the discharge education flowsheet row "Interpreter used for teaching" holds the value "Qualified interpreter" and the linked field "Interpreter ID" is not empty.

Other values the row can hold: "Family member," "Patient declined," "Not available" and blank. Each is reported separately.

The Figure

Where It Came From

Report: "Discharge Education Monthly," run by the nursing quality coordinator in the first week of each month from the hospital's reporting system. Pulled for this summary on 18 September 2026, as an aggregate table with no patient identifiers, released to the student by the coordinator with the nurse manager's approval.

Counted for Somebody Else's Reason

The report was built in 2022 to show surveyors that discharge teaching is documented: that teaching occurred, what topics were covered and whether teach-back was used. The interpreter row was added as an optional field in the same build. Nobody designed the report to measure language access, and nobody reviews the interpreter row in the monthly report. The figure exists because the row exists, not because anyone has asked for it.

How the Figure Was Checked

The student asked the coordinator to rerun June alone two weeks later; the June figures matched. The coordinator also confirmed that "Qualified interpreter" can be chosen without entering an ID, and that 9 such rows exist in the six months; these are counted as not meeting the numerator, as the definition requires.

By Unit

On Unit A the charge nurses ask about the row at discharge huddles, and its blank share is the lowest. The difference between units is mostly in blanks, not in "Family member." That pattern suggests habit and expectation, not access to interpreters, drive most of the variation, since all three units share the same six video devices and the same vendor telephone line. If access were the main barrier, the units would differ less in blanks and more in "Not available."

Month by Month

The monthly share moved between 29% and 35% with no trend. A single month would be a snapshot; six months show that the figure is stable and that a change after amendment would need to move it outside that range to be noticed.

What the Field Cannot See

Interpreter use that happened but was not documented. Some of the 214 blanks are discharges where a qualified interpreter was used and the nurse did not fill the optional row. The true rate is somewhere between 32% and 84%, and the report cannot narrow it.

Patients who needed an interpreter but were registered as not needing one. The registration field depends on the question being asked and answered at registration.

The quality of interpretation, or whether teaching was understood.

Bilingual staff who have passed the hospital's language assessment, who may be documented as "Qualified interpreter" with their staff ID or may be left blank, depending on the nurse.

Any of these limits would apply equally after the amendment, except the first, which the amendment is designed to reduce. None of them can be fixed by the project, and the proposal will list them on the same page as the figure. That means a rise in the figure could reflect more documentation of use that was already happening, not only more use. The proposal will say so.

What the Blanks Might Hold

Nurses asked in September guessed that in about half the discharges they had left blank, a qualified interpreter had been used. If that guess were right, about 107 of the 214 blanks would be documented use, and the true rate of qualified interpreting would be near 58%. That is a guess, not a finding, but it shows why the amendment's documentation requirement could raise the figure without any change in practice.

What Would Make a Change Detectable

Monthly denominators of about 70 mean each month's share can swing by several points by chance. A rise to around 45% sustained for three months would be outside the baseline range. A smaller rise would need more months.

Fit With Data Quality Thinking

A field filled at the nurse's discretion has a completeness problem before it has an accuracy problem. The 52% blank share is the main finding of this summary. Trained interpreters matter clinically (Karliner et al., 2007), but a hospital that cannot see when they are used cannot show it is meeting its own rule.

What the Committee Should Take From This

Three points. The figure is stable, so a change after the amendment would be visible. Most of the gap is blank rows, so the documentation requirement goes to the heart of the problem. And a rise may be partly documentation of interpreting that already happens, which is still worth knowing, since the hospital cannot currently show it. The committee should read any later figure with that in mind and ask for the blank share alongside it.

Aggregate and Released

All figures are aggregate counts. No patient, nurse or interpreter can be identified. The coordinator released the table for course use on the condition that unit names be replaced with letters, which this summary does.

Why the Baseline Matters to the Committee

Accreditor guidance asks hospitals to know how often language needs are met (The Joint Commission, 2010). The committee has never seen this figure. Presenting it with its limits gives the committee a starting point it does not currently have. The federal rule makes the same expectation binding (U.S. Department of Health and Human Services, 2024).

References

Karliner, L. S., Jacobs, E. A., Chen, A. H., & Mutha, S. (2007). Do professional interpreters improve clinical care for patients with limited English proficiency? A systematic review of the literature. Health Services Research, 42(2), 727-754. https://doi.org/10.1111/j.1475-6773.2006.00629.x

The Joint Commission. (2010). Advancing effective communication, cultural competence, and patient- and family-centered care: A roadmap for hospitals. The Joint Commission.

U.S. Department of Health and Human Services. (2024). Nondiscrimination in health programs and activities (Final rule, 89 FR 37522). Federal Register.