DDHA 8303 Week 4 Research Question Set Example

Research Methods for Healthcare Administrators Walden University Free custom sample in 24 to 48h

This DDHA 8303 Week 4 question set example narrows one leader's worry, whether remote work is hurting coding, through five numbered versions until a single family of designs can answer it. Walden DDHA 8303 asks DHA students to show the narrowing, not just the result, and each version here adds one element, a setting, a population, a measurable outcome, a comparison and a time frame, with a note on which designs it keeps and which it rules out. Version 4 turns the question into a difference-in-differences structure, citing Wing and colleagues, and Version 5 adds the two move dates and is selected with its reasons. A parallel qualitative branch narrows how coders resolve uncertain decisions, using O'Malley and colleagues, Gale and colleagues and Creswell and Creswell's explanatory sequential design.

CourseDDHA 8303 Research Methods for Healthcare Administrators
WeekWeek 4
Paper typeResearch question set with commentary
LengthAbout 680 words, 5 pages
FormatAPA 7 student paper
SchoolWalden University
ProgramDoctor of Healthcare Administration (DHA)
UpdatedOctober 2026

Free sample paper for DDHA 8303 Week 4

1

Five Versions of One Question About Remote Coders, Each Tighter Than the Last: A Research Question Set With the Designs Each Wording Keeps and Loses

Student Name

Walden University

DDHA 8303: Research Methods for Healthcare Administrators

Instructor Name

Month Day, Year

What this page is doingThe title counts the revisions and names what each one costs, which tells the reader the set is a narrowing rather than a list of options.
2

Five Versions of One Question About Remote Coders, Each Tighter Than the Last: A Research Question Set With the Designs Each Wording Keeps and Loses

The Broad Concern

Is remote work hurting our coding? This is the concern as Halvorsen Health's leaders state it, and it cannot be studied as written. "Hurting" has no defined outcome, "our coding" has no defined population and "remote work" has no comparison. The versions below narrow it one step at a time.

Version 1

Does remote work affect coding quality at Halvorsen Health?

This version names a setting and replaces "hurting" with "quality," which at least points toward an outcome. Almost any design remains available, from a survey of opinions to an audit study, because the question constrains very little. That openness is the problem: two researchers could answer it in incompatible ways and both claim success.

Version 2

Does remote work affect the coding accuracy of inpatient coders at Halvorsen Health?

Specifying inpatient coders defines the population and excludes outpatient and professional fee coding, which use different systems. "Accuracy" is narrower than "quality," but it is still not measurable as written. Designs relying only on perceptions are now weaker, because accuracy implies a standard against which work is checked.

Version 3

Is DRG agreement between coders and internal auditors different for inpatient coders who work remotely than for those who work onsite?

This version adds a comparison and expresses accuracy as something the system already measures: monthly audit agreement on the assigned DRG. A cross-sectional comparison of remote and onsite coders is now possible. It also exposes a weakness. Coders were not assigned to remote work at random, and those who moved may differ in experience or skill, so any difference found could reflect who moved rather than the move itself.

Version 4

Did DRG agreement rates change once inpatient coders began working fully from home in 2024, compared with the change over the same period among coders who did not move?

Adding a time frame and a before-and-after comparison changes the design family. The question now asks about change within coders, compared with change among those who stayed, which is the structure of a difference-in-differences study (Wing et al., 2018). Cross-sectional designs are ruled out, because they cannot measure change. A randomized trial is also effectively ruled out, because the move has already happened. In exchange, the question gains protection against fixed differences between the coders who moved and those who stayed.

Version 5, Selected

Among inpatient coders at Halvorsen Health, did monthly DRG agreement rates change after the January and September 2024 moves to fully remote work, relative to coders who remained onsite or hybrid over the same months?

This version adds the two specific move dates, which allow the study to compare coders who moved at different times as well as those who never moved. It is selected because it is answerable with records Halvorsen already keeps, because it uses the strongest design the circumstances allow and because its outcome matches the measure the system uses for coding quality. It gives up any claim about why accuracy changed, which Version 5 alone cannot answer.

The Qualitative Branch

The program asks for a qualitative question in parallel, and it is built to answer what Version 5 leaves open.

Broad version: How do coders experience remote work?

Narrowed version: How do inpatient coders at Halvorsen Health describe the ways they resolve uncertain coding decisions, and how do remote and onsite coders describe these practices differently?

This narrowing follows the same steps as the quantitative branch: a defined population, a specific phenomenon and a comparison. It focuses on uncertain decisions because published accounts of coding error place much of it in judgment calls (O'Malley et al., 2005), and because that is where working alone could plausibly matter. It suits an interview design analyzed with a structured approach such as the framework method (Gale et al., 2013), and it rules out designs that count events without explanation. Creswell and Creswell (2018) describe this kind of pairing, where a qualitative strand explains a quantitative result, as an explanatory sequential approach.

What this page is doingKeeping the two branches visibly parallel, with each narrowing step named, shows the reader that the set was built as one design.
3

References

Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE.

Gale, N. K., Heath, G., Cameron, E., Rashid, S., & Redwood, S. (2013). Using the framework method for the analysis of qualitative data in multi-disciplinary health research. BMC Medical Research Methodology, 13, Article 117. https://doi.org/10.1186/1471-2288-13-117

O'Malley, K. J., Cook, K. F., Price, M. D., Wildes, K. R., Hurdle, J. F., & Ashton, C. M. (2005). Measuring diagnoses: ICD code accuracy. Health Services Research, 40(5, Pt. 2), 1620-1639. https://doi.org/10.1111/j.1475-6773.2005.00444.x

Wing, C., Simon, K., & Bello-Gomez, R. A. (2018). Designing difference in difference studies: Best practices for public health policy research. Annual Review of Public Health, 39, 453-469. https://doi.org/10.1146/annurev-publhealth-040617-013507

DDHA 8303 Week 4 instructions, in plain terms

The question set assignment usually asks you to take a broad concern and refine it into a researchable question, showing your steps. Start with the concern in one sentence and say why it cannot be studied as written. Write successive versions, each more specific: a population, then a comparison, then a measurable outcome, then a time frame. Under each, note which research designs remain possible and which the new wording rules out. Select a final question and explain the choice, referring back to earlier versions. If your program asks for both quantitative and qualitative branches, keep them parallel so a reader can see the same narrowing logic in each.

Inside the DDHA 8303 Week 4 example

The document opens with the broad concern and three reasons it cannot be studied. Version 1 adds a setting and the word quality, and the note warns that almost any design still fits. Version 2 specifies inpatient coders and accuracy, weakening perception-based designs. Version 3 introduces the audit measure and a comparison, exposing selection into remote work. Version 4 adds a before-and-after structure, ruling out cross-sectional and randomized designs and gaining protection against fixed differences. Version 5 adds both move dates and is selected because the records exist and the design is the strongest available. The qualitative branch narrows from experience to how coders resolve uncertain decisions and pairs with the framework method.

Where the marks sit in the DDHA 8303 Week 4 rubric

Question sets are evaluated on the visible logic of refinement. Each version should be tighter than the last, and the commentary should explain what was gained and lost, especially in terms of design. Markers reward explicit links between wording and design families, because tying wording to design is what this week trains. The final selection must be justified by reference to feasibility, rigor and fit with the problem. Where a qualitative branch is required, parallel structure earns credit and merged or vague qualitative questions lose it. Citations to methods sources support the reasoning, and clarity of format, such as numbered versions with short notes, matters more than prose length for this deliverable.

DDHA 8303 Week 4 help from the desk

Students frequently jump from the broad concern straight to a polished final question, skipping the steps the assignment wants to see. Show each revision. Another weakness is commentary that only says the question got clearer; say which designs became possible or impossible. Make sure your outcome is measurable by something that exists or could be collected. Avoid wording that assumes the answer, such as asking how remote work harmed accuracy. Keep the qualitative branch genuinely qualitative, asking how or why rather than how much. If you have a concern from practice and want help building the sequence, we can write a question set to your course's format. Finally, check that your selected question still matches the problem statement you wrote earlier, since narrowing can drift away from it.

Get a DDHA 8303 Week 4 example written to your instructions

Forward the Week 4 prompt with the rubric and any topic already approved, and a finished question set arrives inside 24-48 hours at no cost the first time. Question sets are built around a fictionalized department, since records belonging to an actual clinic stay with that clinic and are not reproduced in a sample.

Request this week free All DDHA 8303 weeks Finished samples

More DDHA 8303 papers and DHA samples

DDHA 8303 Week 4 questions, answered

Where can I find a free DDHA 8303 Week 4 sample paper?

All five versions of the remote coder question, with commentary and both branches, are free on this page.

What broad concern does the DDHA 8303 Week 4 example start from?

Whether remote work is hurting coding at a five-hospital health system, which has no defined outcome, population or comparison.

Which version changes the design family?

Version 4, which adds a before-and-after comparison and turns the question into a difference-in-differences structure.

Why is Version 5 selected?

It can be answered with existing audit records, uses the strongest design available and matches the system's measure of coding quality.

What does the qualitative branch ask?

How inpatient coders describe resolving uncertain coding decisions and how remote and onsite coders describe this differently.