NURS 6223 Week 10 Safety Culture Analysis Example

Healthcare Quality Assurance and Risk Management in Healthcare Organizations Walden University Free custom sample in 24 to 48h

This NURS 6223 Week 10 safety culture analysis example compares two adult medical units at a composite teaching hospital that completed the AHRQ Hospital Survey on Patient Safety Culture in the same cycle and posted nearly identical scores. Their reporting data tell another story: one unit files many reports, mostly near misses, while the other files few, mostly after harm. The analysis interprets the gap, treats reporting behavior as stronger evidence than stated perceptions, adds a third source, short structured interviews with staff on each unit, and ends with recommendations for the low-reporting unit. Walden NURS 6223 most often rewards MSN culture papers that triangulate rather than reporting survey scores alone. Sources include Sorra and Dyer on the survey's measurement properties, Hutchinson and colleagues on incident reporting rates and Waring on cultural barriers to reporting.

CourseNURS 6223 Healthcare Quality Assurance and Risk Management in Healthcare Organizations
WeekWeek 10
Paper typeSafety culture analysis
LengthAbout 670 words, 5 pages
FormatAPA 7 student paper
SchoolWalden University
ProgramMaster of Science in Nursing (MSN)
UpdatedOctober 2026

Free sample paper for NURS 6223 Week 10

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Safety Culture Analysis: Two Units, Nearly Identical Survey Scores, Very Different Reporting

Student Name

College of Nursing, Walden University

NURS 6223: Healthcare Quality Assurance and Risk Management in Healthcare Organizations

Instructor Name

Month Day, Year

What this page is doingThe survey says the units are alike. The reporting pattern says they are not, and the analysis explains why the quiet unit is the worrying one.
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Safety Culture Analysis: Two Units, Nearly Identical Survey Scores, Very Different Reporting

Survey Results

Two adult medical units at a composite teaching hospital completed the AHRQ Hospital Survey on Patient Safety Culture in the same cycle. The survey measures staff perceptions across a set of culture dimensions, and its items and composites have shown acceptable psychometric properties at the individual, unit and hospital levels in a large multihospital analysis (Sorra & Dyer, 2010). On the three dimensions most relevant to reporting, response to error, communication openness and reporting of patient safety events, the two units' positive response rates differed by only a few percentage points, well within what normal variation between units would produce. Taken alone, the survey would suggest the two units share a similar culture.

Reporting Data

The reporting systems tell a different story. Unit A files reports often, and most are near misses and good catches: a wrong-patient label caught before a specimen left the unit, a heparin bag hung at the wrong concentration and stopped before starting. Most are filed within the same shift, by nurses, technicians and pharmacists alike. Unit B files seldom. Most of its reports describe events that caused harm, for example an injurious fall or a stage 3 pressure wound, and many are filed days after the event, sometimes only after a family complaint or a chart review brought them to light. Near misses almost never appear.

Interpretation

The reporting pattern is better evidence of culture than the survey, because it records what staff do rather than what they say. A high volume of near-miss reports filed promptly indicates that staff see reporting as useful and safe, that they notice problems before harm occurs, and that they trust something good will come of telling. A low volume dominated by harm events, filed late, indicates the opposite: staff report when they must, because the harm is visible or someone else will report it, and otherwise stay quiet. National data support reading reporting this way; across acute hospitals in England, higher reporting rates correlated with more positive safety culture data from staff surveys and with better risk-management ratings, and high-reporting hospitals had a smaller share of reports in the falls category, suggesting they captured a wider range of events (Hutchinson et al., 2009).

What the survey missed on Unit B is how reports are handled. Staff interviews, described below, revealed that the Unit B manager reviews report outcomes at staff meetings and names the individuals involved, intending accountability. Staff experience it as public blame. Blame is a well-documented barrier to reporting, although not the only one; qualitative work with physicians also found that reporting was discouraged when errors seemed inevitable and reporting pointless (Waring, 2005). On Unit B, both conditions appear to hold.

A Third Source

Brief interviews with six staff on each unit, conducted by a patient safety specialist from outside nursing and kept anonymous, served as a check. Unit A staff described reports leading to visible changes, such as relabeling look-alike bags. Unit B staff described the staff meeting practice and said they report only what cannot be kept off the record. The interviews were small and cannot stand alone, but they explain the reporting data in a way the survey scores could not.

What this page is doingThree sources are triangulated: the survey, the reporting pattern, and interviews that explain the difference between them.
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Recommendations

1. Feedback to reporters: every reporter on both units receives a short note within two weeks describing what was learned or changed as a result of the report.

2. An anonymous reporting option on Unit B, promoted by the unit's staff champions, for a period of six months.

3. A change in the Unit B manager's visible response to reports: case reviews at staff meetings will discuss events and system fixes without naming individuals, and the manager will thank reporters publicly for near-miss reports. The director will coach the manager on this change.

4. Monitoring: the ratio of near-miss to harm reports and the median time from event to report on each unit, tracked monthly, as the main indicators of change, with the next survey cycle as a secondary check.

References

Hutchinson, A., Young, T. A., Cooper, K. L., McIntosh, A., Karnon, J. D., Scobie, S., & Thomson, R. G. (2009). Trends in healthcare incident reporting and relationship to safety and quality data in acute hospitals: Results from the National Reporting and Learning System. Quality and Safety in Health Care, 18(1), 5-10. https://doi.org/10.1136/qshc.2007.022400

Sorra, J. S., & Dyer, N. (2010). Multilevel psychometric properties of the AHRQ hospital survey on patient safety culture. BMC Health Services Research, 10, Article 199. https://doi.org/10.1186/1472-6963-10-199

Waring, J. J. (2005). Beyond blame: Cultural barriers to medical incident reporting. Social Science & Medicine, 60(9), 1927-1935. https://doi.org/10.1016/j.socscimed.2004.08.055

NURS 6223 Week 10 instructions, in plain terms

Week 10 of NURS 6223 commonly asks for an analysis of patient safety culture. You report survey results, compare them with another kind of evidence, interpret the difference and recommend actions. Faculty reward triangulation, meaning culture inferred from more than one source. Cite culture survey research in APA 7. Reporting behavior can be stronger evidence than a survey because it shows what staff do, not what they say. A healthy pattern usually shows many reports with a high share of near misses. Real survey results from your hospital can be used if details are removed and permission allows. A clear layout follows survey results, reporting data, interpretation, a third source and recommendations.

How this NURS 6223 Week 10 example is built

Around five pages. The first section presents both units' survey results by dimension, with attention to response to error, communication openness and reporting of patient safety events, and notes that the scores barely differ. Reporting data follows as description rather than a table of figures: the first unit files often, mostly near misses and good catches, usually within the shift; the second files seldom, mostly events with harm, often days afterward. The interpretation section argues that a harm-heavy, delayed mix signals fear of consequences, and ties it to something the survey missed: the second unit's manager reviews report outcomes by name at staff meetings. A third source, brief staff interviews, is described as a check. Recommendations address feedback to reporters, an anonymous option and the manager's visible response to reports.

Where the marks sit in the NURS 6223 Week 10 rubric

Triangulation is the quality this assignment most often rewards, meaning culture inferred from more than one kind of evidence. A paper that reports survey scores and declares the culture positive or negative has used a single instrument and accepted its answer, which usually lands mid-range on analysis. Reading report volume, mix and timing as behavior is where the sample earns its strongest credit. Source handling carries weight: the AHRQ survey should be described by what it measures, staff perceptions across named dimensions, and not treated as a direct measure of safety. Recommendations are scored on fit to the mechanism found, and a call for a culture of safety with no specific behavior to change reads as a slogan. A missing limitations paragraph costs points in most versions of the rubric.

NURS 6223 Week 10 help from the desk

Culture analyses lose credit when they report survey scores without testing them. Compare with behavior. Another common gap is reading high report counts as a sign of an unsafe unit. Explain what a high near miss share means. Writers also skip a third source. Add interviews, walkrounds or focus groups. Each recommendation should rest on a finding. Tie each to a finding. A table placing the two units' scores beside their report counts and near miss shares makes the gap clear at a glance. State what you would measure in the next survey cycle to show change. Close with the first action for the low-reporting unit.

Get a NURS 6223 Week 10 example written to your instructions

Upload the data or scenario your section provides with the Week 10 rubric, or request two composite units with their survey and reporting patterns sketched in. Expect the safety culture analysis in 24-48h, the first free, with both units and their managers invented from nothing more particular than common reporting patterns.

More NURS 6223 papers and MSN samples

NURS 6223 Week 10 questions, answered

Why treat reporting behavior as better evidence than the survey?

Because a survey captures what staff will say about their workplace, while reporting shows what they will do under their own names. Usually the two agree. When they diverge, as in the sample, the behavior tends to be the more honest signal. The analysis still uses the survey, since its dimensions give the reporting pattern a vocabulary, but it does not let the scores settle the question.

What reporting pattern suggests a healthy culture?

Frequent reports, a high share of near misses and good catches, and short delays between an event and its report. Staff who report near misses expect the organization to use the information rather than punish them. A unit reporting mainly harm events, and late, is often reporting only what cannot be hidden. Volume alone misleads, which is why the sample reads volume, mix and timing together.

Can this analysis use real survey results from my hospital?

Survey results belong to the organization that commissioned them, and most prompts do not expect them. The sample describes two composite units by dimension without figures, which is enough for the argument to work. Where an employer has released aggregate results for this kind of use and the course accepts them, dimension-level reporting is the ceiling, with anything that could point to a particular unit or manager removed.

Where can I find a free NURS 6223 Week 10 sample paper?

The two-units safety culture analysis is printed here with survey results, reporting data, interpretation, the third source and recommendations.

How many reports does the low-reporting unit file in NURS 6223 Week 10?

Far fewer than its neighbor, and most come after harm. The example reads that gap as the warning sign, despite near-identical survey scores.