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Assignment questions
Healthcare administrationCase studyEpidemiology

Good Health Hospital: the nosocomial infection report

A five to six page evaluation report on an E. coli outbreak at a regional hospital: itemising nosocomial infections by person, time, place, ethnicity and gender, proposing questions for the health department, and building a treatment contingency plan.

Updated

Editorial process

Last reviewed · August 7, 2026

01

The scenario is less settled than it sounds

Read the scenario for what it actually establishes, because it is written to look more settled than it is. It reports six cases, then supplies a table listing four; it says the outbreak *was in fact* caused by spoiled cafeteria food while also saying the litigation question is whether one patient was already symptomatic before admission; and it cites the recommendation to change vendors on the grounds that the present suppliers cannot verify sanitation, which is a procurement failure rather than a demonstrated source. Those are three different epistemic states — a count, a conclusion, and an unresolved question — presented in one paragraph. Noticing the gap between them is the first analytic move, and it is what an evaluation report is for. Opening the report by stating which of the three you are treating as established, and which you are treating as open, also tells the reader what kind of document they are about to read.

The parameters are named for you and they are the standard epidemiological descriptors: *person, time, place, ethnicity, and gender*. Categorising the data into those is not a formatting exercise. Person and time together give you the epidemic curve, which is what distinguishes a common-source outbreak from person-to-person spread; place localises exposure and, in a hospital, separates ward acquisition from community acquisition; and the demographic parameters matter mainly for whether the cases share anything beyond being in the building. With four ages and two sexes and nothing else, the honest finding is that the supplied data cannot discriminate between hypotheses — which is a result, and a defensible one to report. Saying what each parameter would show if the data supported it is worth doing even where it does not, since the report is assessing a compilation and not only reporting one.

The six questions you are asked to propose for the health department are the part where the report either shows method or does not. Good questions here are ones whose answers would change the conclusion: when did each patient's symptoms begin relative to admission, which is the litigation question stated as an epidemiological one; what did the four cases eat and where; were any staff affected; is there a shared ward, shift or procedure; was the organism typed and did the isolates match; and are there comparable cases in other Tampa Bay facilities. Each of those is answerable and each discriminates. A question that cannot change what you would conclude is decoration. A finding that the available records cannot settle the question is also the finding that most directly supports the request for a health department investigation.

Onset relative to admission is the hinge of the whole scenario and deserves its own section. A hospital-acquired infection is conventionally defined by onset after a defined interval from admission, and that interval is what separates an infection the hospital is responsible for from one the patient brought with them. The litigation issue the administrator raised is exactly this question, and the incubation period of the organism is what answers it — which is why the report cannot resolve liability without dates. Say so plainly. An evaluation report that adopts the scenario's own conclusion without noticing that the decisive datum is missing has evaluated nothing. Setting out the definitional interval explicitly also gives the six questions their most important member, which is simply when each patient's symptoms began.

The second deliverable is a contingency plan built from state and federal surveillance data, and it should be structured rather than listed. A workable plan states what triggers activation, who leads, what is done in the first twenty-four hours, how cases are found and defined, what control measures are applied and in what order, what is reported and to whom, and how the plan is stood down. National surveillance data earns its place by telling you which infections are actually common in facilities like yours, so the plan is proportionate to the real distribution rather than to the outbreak that happens to be in front of you. Three academic sources minimum, and five to six pages. Naming who owns each step is what turns a plan from a description of good practice into something an administrator could actually put into effect on the day.

Element of the report

The version that under-performs

What an evaluation requires

The scenario's conclusion

Repeated as established

Separated into count, conclusion and open question

Case count

Six, as stated

Six asserted, four tabulated — a discrepancy worth noting

Person and time

Ages and dates listed

An epidemic curve distinguishing common source from spread

Place

The hospital

Ward, unit and exposure location, separating acquisition from admission

The six questions

Requests for background

Questions whose answers would change the conclusion

Onset relative to admission

Not addressed

The definition that decides the litigation question

Contingency plan

A list of good practices

Trigger, roles, case definition, control, reporting, stand-down

Likely learning objectives

Inferred from the brief — check these against your own rubric.

  • 01
    Distinguish what a scenario establishes from what it asserts.
  • 02
    Use standard epidemiological descriptors to test hypotheses rather than to organise data.
  • 03
    Frame investigative questions whose answers would change a conclusion.
  • 04
    Build a contingency plan with triggers, roles and a stand-down.
Assignment instructionsQuoted verbatim

Read the full question

Review every instruction before using the planning guidance that follows.

The situation at the regional Good Health Hospital has become overwhelming since the outbreak of Escherichia coli (E. coli) in Ward 10 on the second floor. It appears that there are six cases of the disease. To better understand the situation, communication with the Centers for Disease Control and Prevention has revealed that this particular bacterium can be found in many everyday items. The CDC recommends that investigation begin in the hospital kitchens because E. coli can be transmitted via contaminated vegetables, as well as delicatessen meats such as salami and other cold cuts. The following table shows the number of cases identified so far: Case Age Gender 1 23 M 2 21 F 3 15 M 4 42 F After a meeting yesterday with the chief administrator, Joe Wellborn, it has been decided that the litigation issues with one of the patients may need further information to determine whether the patient was already symptomatic with the bacteria before admission. Research has indicated that hospitals operating in the Tampa Bay area have been known to have cases of E. coli contamination. This substantiates the need for further investigations by the county health department. Due to the severity of the cases and the potential for further spread, it is recommended that the hospital seek alternative vending services because the present suppliers cannot verify sanitation protocols for their products. In conclusion, the study done at Good Health Hospital has indicated that the E. coli outbreak was in fact caused by spoiled food from the cafeteria. As a social science researcher working for the regional hospital, you are placed in charge of contacting the department of health (DOH) from your home state, as well as the CDC for statistical data on nosocomial diseases (diseases starting in a hospital) that frequently cause illness at your health care facility. Using information from both agencies, evaluate the data on common nosocomial diseases and compile a treatment contingency plan for dealing with the hospital infections. ASSIGNMENT INSTRUCTIONS Analyze Good Health Hospital’s records DQ Write a 5–6 page evaluation report in which you do the following: Analyze Good Health Hospital’s records and itemize recent nosocomial infections that occurred within the past year. In your report, categorize the different parameters (that is, person, time, place, ethnicity, and gender) used in the compilation of data into the information summative. Propose at least six questions for the health care administrator at Good Health Hospital regarding potential litigation issues with infections from the nosocomial diseases. In the report, rationalize the logic behind the six questions. Identify a targeted audience within Good Health Hospital and prepare an implementation plan based on a hypothetical meeting with the hospital health care administrator. Propose four steps that will be useful in the final implementation plan. Suggest at least five recommendations to the department head based on the steps taken in the implementation plan. Provide a rationale for suggestions. Design a safety protocol itinerary that must be placed in public access areas of the hospital, using these approved recommendations. Use at least four peer-reviewed academic resources in this assignment. These must come from journal sources. Note: Fact Sheets, Wikipedia, and nonacademic websites do not qualify as academic resources. This course requires the use of Strayer Writing Standards. For assistance and information, please refer to the Strayer Writing Standards link in the left-hand menu of your course. Check with your faculty for any additional instructions. The specific course learning outcome associated with this assignment: Design a safety protocol itinerary based on an implementation plan for addressing nosocomial infections in a hospital.
02

What the evaluation report must contain

  1. 01
    A 5 to 6 page evaluation report.
  2. 02
    An analysis of the hospital's records itemising nosocomial infections over the past year.
  3. 03
    The data categorised by person, time, place, ethnicity and gender.
  4. 04
    At least six proposed questions for the health department.
  5. 05
    An evaluation of state and federal data on common nosocomial diseases.
  6. 06
    A treatment contingency plan for hospital infections.
03

From the data's limits to an activated plan

01

Separate what is known from what is claimed

The count, the asserted cause, the open litigation question, and the procurement finding.

02

The five parameters as tests

Person and time for the curve, place for exposure, demographics for shared characteristics.

03

State the limits of the data

What four rows of age and sex can and cannot discriminate between.

04

Six questions that would change the answer

Onset timing, food exposures, staff cases, shared ward or procedure, isolate typing, regional comparison.

05

Onset relative to admission

The definitional interval, the organism's incubation period, and what that means for liability.

06

A contingency plan with structure

Trigger, roles, first day actions, case finding, control measures, reporting and stand-down.

04

Two agencies, and what their data can support

Recommended databases

  • State health department surveillance reports
  • Federal healthcare-associated infection reporting
  • PubMed and PMC
  • Health statistics tutorials and data locators

Search sequence

  1. 1.
    Find the national distribution of healthcare-associated infections before writing the plan, because a contingency plan should be proportionate to what actually occurs rather than to the organism in the scenario.
  2. 2.
    Look up how a healthcare-associated infection is defined by time from admission, since that definition is what the litigation question turns on.
  3. 3.
    Search the surveillance literature for what a functioning programme contains, so the plan resembles an established structure rather than an invented one.
  4. 4.
    Check your own state's reporting requirements, as the plan has to say what is reported to whom and that varies.
05

Programme infrastructure and surveillance practice

These are authoritative starting points, not a ready-made bibliography. A qualified reviewer must confirm that each source fits the assignment and supports the claim beside which it is cited.

Nothing here is cleared for citation until you have read it.

  1. 01

    Necessary Infrastructure of Infection Prevention and Healthcare Epidemiology Programs: A Review

    Infection Control and Hospital Epidemiology, via PubMed · 2016

    What an infection prevention programme has to contain — surveillance, performance improvement, outbreak response, education, and reporting to the national network. This is the structure your contingency plan should follow, and citing it makes the plan an implementation of an established model rather than an invention.

  2. 02

    The current scope of healthcare-associated infection surveillance activities in hospitalized immunocompromised patients: a systematic review

    BMJ Open, via PubMed · 2019

    How surveillance definitions and case-finding actually vary in practice. Useful for the parameters section, because it shows that what counts as a case is a decision rather than a given — which is directly relevant to a scenario reporting six cases and tabulating four.

  3. 03

    Impact of electronic healthcare-associated infection surveillance software on infection prevention resources: a systematic review of the literature

    American Journal of Infection Control, via PubMed · 2017

    Evidence on automated case finding and what it does to detection and to staff time. Relevant to the contingency plan's case-finding step, where the practical question is how an outbreak would be noticed at all rather than what to do once it has been.

  4. 04

    Finding and Using Health Statistics

    National Information Center on Health Services Research, U.S. National Library of Medicine · 2024

    A guide to locating and interpreting federal and state health statistics, including what each source can and cannot support. Use it for the data-gathering half of the assignment, where the task is to obtain figures from two agencies and then judge whether they answer the question you are asking.

06

Before the evaluation report is submitted

Common mistakes

  • Accepting the scenario's stated conclusion about the cafeteria without examining it.
  • Missing that six cases are asserted while four are tabulated.
  • Treating the five parameters as headings rather than as tests.
  • Omitting symptom onset relative to admission, which decides the central question.
  • Proposing questions that gather background rather than discriminate between hypotheses.
  • Writing a contingency plan as a list of good practices with no trigger or owner.
  • Using national surveillance data as decoration rather than to set priorities.
  • Confusing a procurement failure with a demonstrated source of infection.

Submission checklist

  • The discrepancy between six cases and four records is noted.
  • An epidemic curve or its equivalent is described from person and time.
  • Place distinguishes ward acquisition from admission with infection.
  • The limits of the supplied demographic data are stated.
  • Onset relative to admission is identified as the decisive datum.
  • Six or more questions appear, each capable of changing the conclusion.
  • The contingency plan has a trigger, an owner, a case definition and a stand-down.
  • Three or more academic sources are cited; the paper is 5 to 6 pages.

Use this guide to plan and review your own work. Follow your institution's rules and read our academic-integrity policy.

Written by

Aaron Bishop

MA, Education

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Aaron leads the EssayCrackers editorial desk. He works on how assignment briefs are read — what a rubric is actually asking for, and where students most often answer a different question than the one set.

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Dr. Nathan Cole

PhD, Rhetoric & Composition

Argumentation and thesis development

Nathan teaches first-year composition and directs a university writing center. He reviews EssayCrackers guides for argumentative soundness and citation accuracy.

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