| Course | HCM-5030 Quality Improvement Strategies in Healthcare |
|---|---|
| Module | Module 3 |
| Paper type | Written assignment: implementation of CQI programs |
| Length | About 1,012 words, 6 pages |
| Format | APA 7 student paper |
| School | Thomas Edison State University |
| Program | Master of Science in Healthcare Management |
| Updated | October 2026 |
Free sample paper for HCM 5030 Module 3
Fewer Missed Doses, Truer Feedback: Reducing Medication Errors and Testing Satisfaction Data in a County Jail
Student Name
Master of Science in Healthcare Management, Thomas Edison State University
HCM-5030: Quality Improvement Strategies in Healthcare
Mentor Name
Month Day, Year
Fewer Missed Doses, Truer Feedback: Reducing Medication Errors and Testing Satisfaction Data in a County Jail
Implementing a CQI program means choosing which problems to fix first and deciding which data to trust. For the medical unit of the composite New Jersey county jail followed in these HCM-5030 samples, the first choice is clear. The trigger review begun last quarter found that 14 of 60 sampled people who arrived on an essential medication, such as insulin, an anticonvulsant, an antipsychotic or methadone, missed at least one dose in their first 72 hours in custody. The second question is harder. The health contractor reports a 96% patient satisfaction score to the county each quarter and cites it as evidence of quality. This paper recommends strategies to reduce missed essential medications and critiques whether the satisfaction data can be relied on.
Why Doses Are Missed
Medication errors have many causes, and fixes that ignore them rarely last. Keers et al. (2013) systematically reviewed the causes of medication administration errors in hospitals and found that slips and lapses were the most common unsafe acts, followed by knowledge-based mistakes and deliberate violations. The conditions that provoked them included poor written communication in prescriptions and documentation, problems with medication supply and storage, high workload, equipment problems, staff fatigue and interruptions during administration. Deeper organizational conditions, such as local culture and management decisions, were less studied but often present.
A walk through the jail's intake process with nurses and officers shows the same pattern. People are booked at all hours, and the intake nurse records their reported medications, but verification with the community pharmacy or prescriber waits for business hours. Bridge orders for essential medications require a call to the on-call clinician, which nurses make inconsistently at night. The jail pharmacy delivers once a day, so a drug not in stock may not arrive for 24 hours. Pill call happens twice daily on housing units, and a person moved between units during the day can miss a pass entirely. Each of these is an error-provoking condition rather than a careless individual.
Recommended Strategies
The strategies follow the causes. First, standardize the decision: a list of essential medications, agreed with the medical director, that triggers an automatic bridge order at intake for up to 72 hours once the person's report is documented, without waiting for a night-time call. Second, fix supply: an on-site stock of the 25 most common essential medications in the intake area, reconciled daily by the pharmacy. Third, close the communication gap: the electronic health record will flag every essential medication on the pill call list, and a missed or refused dose of a flagged drug will prompt a nursing follow-up within four hours. Fourth, coordinate with custody: housing moves for people on flagged medications will be communicated to the receiving unit's nurse before the next pill call.
Opioid treatment deserves specific attention, because interrupting it causes withdrawal in custody and raises the risk of overdose after release. Rich et al. (2015) randomized people entering a combined prison and jail system on methadone to continued treatment or forced withdrawal. Of those continued on methadone, 96% returned to a community methadone clinic within a month of release, compared with 78% of those withdrawn, with no difference in serious adverse events. The jail's list of essential medications will therefore include methadone and buprenorphine, with verification through the community program the next morning.
Progress will be measured monthly by the share of people on flagged medications who receive every scheduled dose in their first 72 hours, using the same trigger review sample, with a run chart shared with nursing and custody staff.
How Reliable Is a 96% Satisfaction Score?
The contractor's survey asks people at release to agree or disagree with five positively worded statements, such as I received the care I needed. About 150 surveys are returned each quarter, handed out and collected by officers at the release desk. Several features of this design threaten its reliability and validity.
The first is framing. Dunsch et al. (2018) randomly assigned more than 2,200 patients to receive either positively or negatively framed satisfaction statements and found satisfaction of 87% with negative framing against 95% with the usual positive framing, with differences as large as 19 percentage points on individual questions. They concluded that positive framing inflates satisfaction and that such measures should be complemented by more objective indicators. A survey built entirely on positive agree statements, like the contractor's, is likely to overstate satisfaction.
Other problems are specific to a jail. Surveys handed out by custody staff at release may feel connected to the facility's authority, which discourages criticism. People held only a few hours, who saw little of the medical unit, are surveyed alongside people held for months. Those who left through the court or a hospital transfer are never surveyed. The number of surveys distributed is not recorded, so the response rate is unknown. Results are reported as one percentage, without the questions or the sample size.
Making Satisfaction Data Useful
The survey should not be abandoned, because patients' experience matters. It can be made more trustworthy. The questions should mix positive and negative wording and include specific, factual items, such as whether the person received their usual medications on the first day. Surveys should be offered by a nonmedical, non-custody volunteer or completed on a kiosk, and the number distributed should be logged. Results should be reported by length of stay and paired with objective measures, such as missed essential doses and sick call response time, so that the county sees both experience and performance. The county should also write these reporting rules into the next contract.
Conclusion
Missed medications in a jail's first days are a system problem with identifiable causes, and the strategies that address them are standardized bridge orders, on-site stock, flagged follow-up and coordination with custody, measured each month. A 96% satisfaction score built on positive statements collected by officers tells the county little about quality. Redesigning the survey and pairing it with objective measures will give leaders data they can actually use.
References
Dunsch, F., Evans, D. K., Macis, M., & Wang, Q. (2018). Bias in patient satisfaction surveys: A threat to measuring healthcare quality. BMJ Global Health, 3(2), Article e000694. https://doi.org/10.1136/bmjgh-2017-000694
Keers, R. N., Williams, S. D., Cooke, J., & Ashcroft, D. M. (2013). Causes of medication administration errors in hospitals: A systematic review of quantitative and qualitative evidence. Drug Safety, 36(11), 1045-1067. https://doi.org/10.1007/s40264-013-0090-2
Rich, J. D., McKenzie, M., Larney, S., Wong, J. B., Tran, L., Clarke, J., Noska, A., Reddy, M., & Zaller, N. (2015). Methadone continuation versus forced withdrawal on incarceration in a combined US prison and jail: A randomised, open-label trial. The Lancet, 386(9991), 350-359. https://doi.org/10.1016/S0140-6736(14)62338-2
HCM 5030 Module 3 instructions, in plain terms
Implementation of CQI Programs, the third module of HCM-5030, covers objectives five and six: recommending strategies to reduce medical errors and critiquing data on consumer satisfaction for reliability. Written assignments here often pair the two, asking you to take an error-prone process in an organization, explain its causes and recommend improvements, and then evaluate how the organization measures patient or consumer satisfaction. Choose a process where you can describe each step and a satisfaction measure whose method you can examine. Support recommendations with evidence beyond the textbook, include how you would measure results, and present the paper in APA format with headings that follow the prompt.
How this HCM 5030 Module 3 example is built
The paper begins with two findings that frame its two tasks: a measured rate of missed doses and a satisfaction score offered as proof of quality. Causes of medication errors come first, from a systematic review, then a walk through intake that finds the same conditions locally. Strategies are matched one to one with those conditions, and a randomized trial supports including opioid treatment. A measure closes the error section. The survey critique describes the method in detail before judging it, uses a framing experiment as evidence and adds threats specific to a jail. A constructive section shows how to make the data useful, and the conclusion restates both answers. Throughout, the jail's constraints, such as custody control of movement, are treated as part of the process.
HCM 5030 Module 3 rubric: what earns full marks
Mentors in HCM-5030 expect Module 3 papers to recommend error-reduction strategies that follow from an analysis of causes and to evaluate satisfaction data with an understanding of measurement. Strong error sections connect each strategy to a specific cause and include a way to measure success. Strong satisfaction critiques address framing, who administers the survey, who is sampled, response rates and how results are reported, and they suggest improvements rather than simply rejecting the data. Evidence from primary research, application to a specific organization and clear graduate writing in APA format complete the grade. Balanced judgment, crediting what data can show, is valued.
Common HCM 5030 Module 3 mistakes, and how to avoid them
Module 3 papers often recommend staff education as the main fix for medication errors. Education addresses knowledge, but most errors come from conditions such as interruptions, supply gaps and unclear communication, so redesign those. Another weak spot is critiquing satisfaction surveys in general terms, such as surveys can be biased. Examine the actual method: wording, who hands it out, who is left out and how results are summarized. Students also forget to propose a better measure. Keep patients' privacy and dignity in view when writing about vulnerable settings. For your own organization, a member of our team can write a Module 3 paper on an error-prone process and satisfaction measure from your own organization.
Write yours, or have the desk draft it
This paper is an original model document written by our desk, not a submitted student paper and not an official Thomas Edison State University document. Read it for the moves, then write your own to the instructions in your classroom. If you want one built to your exact prompt and rubric, the first custom sample is free and arrives in 24 to 48 hours.
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HCM 5030 Module 3 questions, answered
Where can I find a free HCM 5030 Module 3 sample paper?
Read the complete Module 3 paper above: causes of missed medications, matched strategies, opioid treatment evidence, a survey critique and a redesign, plus references and margin notes on every sheet.
What causes medication administration errors?
A systematic review found slips and lapses most common, provoked by poor written communication, supply problems, high workload, equipment issues, fatigue and interruptions, with culture and management decisions in the background.
Why might a patient satisfaction score be unreliable?
Positive wording, administration by staff patients depend on, unrepresentative samples, unknown response rates and single summary numbers can all inflate or distort results.
What is a bridge order?
A short-term order that continues a person's existing medication until it can be verified with the prescriber or pharmacy, so doses are not missed in the meantime.
Should I discard satisfaction data that has flaws?
Usually not. Improve the method, report it transparently and pair it with objective measures so that patients' experience still counts.