Module 1: Assignment 2
Using the reading covered in this module review the scenarios below. For each method, determine if a probability sampling or non probability sampling method is used. For each question, determine if this an effective way to determine patient satisfaction. Why or why not?
1. The CEO of a regional hospital wants to survey patient satisfaction after being discharged from the hospital.
2. A case manager is sent to the discharge area to interview patients as they are leaving the hospital.
3. You have the nurses on the floor distribute a questionnaire to each patient asking they complete the survey and return it at the discharge counter before they leave.
4. The CEO randomly selects a set of patients about to be discharged from the hospital and questions those that they have selected.
5. The CEO groups the patients by departments and randomly selects a patient from each department and surveys that patient to evaluate the department.
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· Answer each question with a minimum of 2 paragraphs. Your submission must include a properly formatted title and reference pages. 2 academic sources, formatted and cited in APA.
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Submission Instructions:
· Submit your assignment by 11:59 pm on Sunday.
· It should include at least 2 academic sources, formatted and cited in APA.
Official Open Answer Questions Rubric
– Official Open Answer Questions Rubric
Criteria
Ratings
Pts
This criterion is linked to a Learning OutcomeContent
40 to >36.0 pts
Excellent
Each response is fully aligned with the question. In addition, responses demonstrate complete mastery of the content by including highly appropriate, detailed information and excellent examples.
36 to >32.0 pts
Good
Each response is fully aligned with the question. In addition, responses demonstrate a good mastery of the content by including basic information and examples.
32 to >28.0 pts
Fair
Some responses do not answer the question being asked or provide incorrect information. Response(s) demonstrate partial mastery of the content.
28 to >24.0 pts
Poor
Responses demonstrate lack of mastery of the information. They may be off topic, incorrect, or include poor examples and details.
24 to >0 pts
Unacceptable
The assignment did not reflect the requested outcomes, was off-topic, and/or the assignment was not submitted.
40 pts
This criterion is linked to a Learning OutcomeContent
Quality of Information
30 to >27.0 pts
Excellent
Response(s) thoroughly identify the problem, situation or issue at hand and provide an adequate conclusion / solution supported with secondary ideas, and/or examples
27 to >24.0 pts
Good
Response(s) identify the problem, situation, or issue at hand. Responses provide an adequate conclusion or solution, but only partially supported with secondary ideas, and/or examples.
24 to >21.0 pts
Fair
Response(s) identify the problem, situation, or issue at hand. Responses provide an adequate conclusion or solution, but they are not supported with secondary ideas, and/or examples.
21 to >18.0 pts
Poor
Response(s) do/does not identify the problem, situation, or issue at hand. Absent or unclear conclusion / solution. Inadequate or absent examples or secondary ideas.
18 to >0 pts
Unacceptable
The assignment did not reflect the requested outcomes, was off-topic, and/or the assignment was not submitted.
30 pts
This criterion is linked to a Learning OutcomeCommunication
Organization
20 to >18.0 pts
Excellent
Writing is well structured with a clear beginning, a middle and conclusion (as appropriate). Examples and supporting evidence are inserted to strengthen the response. Information and thought process flows logically.
18 to >16.0 pts
Good
Writing is structured and includes examples and supporting evidence to strengthen the response. Information and thought process flows logically.
16 to >14.0 pts
Fair
Writing somewhat disorganized with limited examples and supporting evidence.
14 to >12.0 pts
Poor
Writing is disorganized with few examples and supporting evidence.
12 to >0 pts
Unacceptable
The assignment did not reflect the requested outcomes, was off-topic, and/or the assignment was not submitted.
20 pts
This criterion is linked to a Learning OutcomeWriting
Mechanics
10 to >9.0 pts
Excellent
Writing is entirely free of typos, spelling, grammatical, punctuation, translation or formatting errors.
9 to >8.0 pts
Good
Minimal (1 – 3) typographical, spelling, grammatical, punctuation, or translation errors.
8 to >7.0 pts
Fair
Multiple (4 -7) typographical, spelling, grammatical, punctuation, or translation errors.
7 to >6.0 pts
Poor
Severe (8 – 10) typographical, spelling, grammatical, punctuation, or translation errors.
6 to >0 pts
Unacceptable
Unacceptable (11 or more) typographical, spelling, grammatical, punctuation, or translation errors, and/or the assignment was not submitted.
10 pts
Certainly! Below is a structured outline for your assignment that includes an introduction, analysis for each scenario, and a conclusion. I’ll guide you on how to address each scenario with the appropriate sampling method and discuss its effectiveness in determining patient satisfaction.
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**Title Page**
**Assignment Title**
Your Name
BHA4004
Date
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**Introduction**
Effective sampling methods are crucial for accurately gauging patient satisfaction in healthcare settings. This assignment reviews different sampling methods used in various scenarios to determine their effectiveness in reflecting patient satisfaction. The analysis includes whether the sampling method is probabilistic or non-probabilistic and discusses its strengths and weaknesses in capturing accurate patient feedback.
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**Scenario 1: The CEO of a regional hospital wants to survey patient satisfaction after being discharged from the hospital.**
In this scenario, the CEO likely wants to employ a probability sampling method, such as simple random sampling, to survey patient satisfaction. Simple random sampling involves randomly selecting patients from the entire population of discharged patients, ensuring that each individual has an equal chance of being selected. This method is effective for obtaining a representative sample that reflects the entire patient population, reducing bias and providing generalizable results.
However, the effectiveness of this method depends on the sample size and the diversity of the population. If the hospital serves a varied demographic, random sampling will help ensure that all subgroups are proportionately represented. This is critical for accurately assessing patient satisfaction across different departments and patient types. The method is appropriate for obtaining a broad understanding of patient satisfaction but may require careful management to ensure that the sample size is large enough to be statistically significant.
**Scenario 2: A case manager is sent to the discharge area to interview patients as they are leaving the hospital.**
This scenario uses a non-probability sampling method, specifically convenience sampling. The case manager interviews patients who are readily available at the discharge area, making it a convenient but potentially biased method. Convenience sampling often leads to sampling bias because it may not represent the broader patient population, only those who happen to be leaving at that particular time.
While this method allows for quick data collection, it is not the most effective way to determine overall patient satisfaction. The sample may be skewed towards patients who are more likely to be available at the time of discharge, potentially missing feedback from patients who leave at different times or are discharged through other means. This lack of randomness can result in data that does not accurately reflect the views of the entire patient population.
**Scenario 3: You have the nurses on the floor distribute a questionnaire to each patient asking they complete the survey and return it at the discharge counter before they leave.**
This scenario also represents a non-probability sampling method, specifically voluntary response sampling. Patients are given the opportunity to fill out the survey voluntarily, which introduces the risk of self-selection bias. Typically, individuals with strong opinions, whether positive or negative, are more likely to participate, while those who are indifferent or moderately satisfied may choose not to respond.
The effectiveness of this method in determining patient satisfaction is limited because it might not capture a representative sample of the patient population. The voluntary nature of the survey could result in an overrepresentation of extremely satisfied or dissatisfied patients, leading to skewed results. To improve effectiveness, the hospital could combine this approach with a follow-up strategy to encourage broader participation and mitigate self-selection bias.
**Scenario 4: The CEO randomly selects a set of patients about to be discharged from the hospital and questions those that they have selected.**
This scenario illustrates a probability sampling method known as simple random sampling. The CEO randomly selects patients, ensuring that each patient has an equal chance of being chosen. This approach is effective for achieving a representative sample, which can accurately reflect patient satisfaction levels across different patient demographics and hospital departments.
The random selection helps minimize bias and provides a more accurate picture of overall patient satisfaction. This method is generally effective for drawing conclusions about patient satisfaction, as it reduces the chances of over-representing or under-representing any specific group. However, the effectiveness also depends on ensuring that the sample size is adequate and that the randomization process is truly random and unbiased.
**Scenario 5: The CEO groups the patients by departments and randomly selects a patient from each department and surveys that patient to evaluate the department.**
In this scenario, the CEO uses a probability sampling method known as stratified random sampling. By grouping patients by department and then randomly selecting from each group, the CEO ensures that the sample is representative of the different departments within the hospital. This method is highly effective for evaluating specific departments and ensuring that the satisfaction levels in each department are accurately captured.
Stratified random sampling is particularly beneficial in a hospital setting where patient experiences can vary significantly between departments. By ensuring that each department is represented in the sample, the hospital can obtain more detailed and accurate feedback on departmental performance, which is essential for targeted quality improvement initiatives.
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**Conclusion**
In conclusion, the choice of sampling method significantly impacts the accuracy and reliability of patient satisfaction surveys. Probability sampling methods, such as simple random sampling and stratified random sampling, tend to be more effective for obtaining representative data that can be generalized to the entire patient population. Non-probability sampling methods, while easier to implement, often suffer from bias and may not provide an accurate reflection of patient satisfaction. Therefore, careful consideration of the sampling method is essential for effective risk management and quality improvement in healthcare settings.
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**References**
[Lastname, C. (2008). *Title of the source*. The Journal or Publication Italicized and Capped, Vol# (Issue#), Page numbers.]
[Lastname, O. (2010). *Online journal using DOI or digital object identifier*. Main Online Journal Name, Vol#(Issue#), 159-192. doi: 10.1000/182]
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**Note:** Replace placeholder text with actual details from your readings and research. The structure should help you meet the assignment requirements, including demonstrating content mastery, clear organization, and proper APA citation.
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