IHP 430 Module 7 PDSA Discussion example

Reviewed by Delia Ravenscroft, MSN, RN Healthcare Quality Management Southern New Hampshire University Full sample paper Free custom sample in 24 to 48h

This complete IHP 430 Module 7 discussion post shows the plan-do-study-act cycle applied to one small, real-sized problem. At a composite family medicine clinic, patient portal messages wait more than two business days for an answer and physicians clear their inboxes at night. The post walks through one two-week test in which a registered nurse triages the messages for a single care team, reports what the data showed, and explains why the team chose to adapt the change before spreading it. The clinic is composite; the research is real.

What this page holds

A complete IHP 430 Module 7 discussion post of about 360 words walking through one plan-do-study-act cycle on portal message response times, with a prediction, results, a decision to adapt and a question about sustaining the gain. Searches like "ihp 430 module 7 assignment", "ihp430 module 7 pdsa discussion" and "ihp 430 module 7 example" land here.

The IHP 430 Module 7 example, in full

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Module Seven Discussion: Using the PDSA Cycle

Re: Two days to answer a portal message

My example is a composite family medicine clinic where patients waited a median of 2.4 business days for an answer to a portal message, and physicians were answering them late at night. That pattern matters beyond convenience. Physicians who receive more system-generated inbox messages report more burnout symptoms (Tai-Seale et al., 2019), and message volume is large enough that some systems have started billing certain messages as e-visits, which one health system found was followed by a drop in patient messaging (Holmgren et al., 2023). A cheaper first step is to change who reads the messages first.

Plan: for two weeks, one registered nurse triages all portal messages for one physician's panel, answers what nurses can answer under standing protocols, and routes the rest with a summary. The prediction was that median response time would fall below one business day and the physician would handle fewer than half of the messages. Measures were response time, the share of messages the physician touched, and minutes the physician spent in the record after 6 p.m.

Do and study: 214 messages arrived. Median response fell to 0.9 business days, close to the prediction, but the physician still handled 58 percent of messages, more than predicted. Reviewing them showed why: most were medication refill requests the nurse could have processed if the protocol covered them. The gap between prediction and result told us more than the success did. After-hours record time fell from about 6 hours to 4.5 hours a week. Patient complaints about slow replies, which had averaged three a month, dropped to none during the test, though two weeks is too short to credit that to the change.

Act: we adapted rather than adopted. The next cycle adds a refill protocol for stable chronic medications and runs for two more weeks before the change spreads to a second team (Langley et al., 2009). My question for the group: once the project ends and the nurse is pulled back to rooming patients on a busy day, what would you build into the clinic's routine so the triage survives?

What this page is doingThe post names all four stages, states a prediction before the results and uses the difference between them to justify the act decision. The highlighted sentence captures what the cycle is for, which is learning.
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References

Holmgren, A. J., Byron, M. E., Grouse, C. K., & Adler-Milstein, J. (2023). Association between billing patient portal messages as e-visits and patient messaging volume. JAMA, 329(4), 339-342. https://doi.org/10.1001/jama.2022.24710

Langley, G. J., Moen, R. D., Nolan, K. M., Nolan, T. W., Norman, C. L., & Provost, L. P. (2009). The improvement guide: A practical approach to enhancing organizational performance (2nd ed.). Jossey-Bass.

Tai-Seale, M., Dillon, E. C., Yang, Y., Nordgren, R., Steinberg, R. L., Nauenberg, T., Lee, T. C., Meehan, A., Li, J., Chan, A. S., & Frosch, D. L. (2019). Physicians' well-being linked to in-basket messages generated by algorithms in electronic health records. Health Affairs, 38(7), 1073-1078. https://doi.org/10.1377/hlthaff.2018.05509

How this IHP 430 Module 7 example is structured

The post is organized around the four stages of the cycle so the method is visible. It opens with the problem and the evidence that it matters to clinicians. Plan states the change, the prediction and the measures. Do and study report the two-week results against the prediction. Act explains the decision and the next cycle. A closing question asks classmates how the gain could hold once attention moves on.

Get IHP 430 Module 7 written to your instructions

Share your IHP 430 Module 7 prompt with its rubric, and a reply applying the plan-do-study-act cycle, or the improvement tool your prompt names, to a realistic problem comes back within 24 to 48 hours; the first one is free. The paper above is an original model document written by our desk, not a submitted student paper and not an official Southern New Hampshire University document.

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IHP 430 Module 7 questions, answered

What is IHP 430 Module 7 usually about?

Later modules in a healthcare quality course often focus on improvement methods and on sustaining change. A discussion may ask students to apply the plan-do-study-act cycle to a problem, explain how they would test a change on a small scale, or discuss how a manager keeps an improvement from fading.

Why should a PDSA cycle include a prediction?

Writing down what you expect to happen before the test turns the cycle into a learning exercise. In the study stage, you compare results with the prediction; a gap between them shows that your understanding of the process was incomplete and tells you what to change next.

What are the three choices in the act stage?

After studying the results, a team can adopt the change as tested, adapt it and run another cycle, or abandon it if it did not work or caused problems. Most changes are adapted at least once before they are adopted and spread.