| Course | DNRS 6630 Psychopharmacologic Approaches to Treatment of Psychopathology |
|---|---|
| Week | Week 8 |
| Paper type | Literature appraisal paper |
| Length | About 760 words, 5 pages |
| Format | APA 7 student paper |
| School | Walden University |
| Program | Doctor of Nursing Practice (DNP) |
| Updated | October 2026 |
Free sample paper for DNRS 6630 Week 8
Literature Appraisal: Would the Woman in Our Case Have Been Enrolled in STAR*D?
Student Name
College of Nursing, Walden University
DNRS 6630: Psychopharmacologic Approaches to Treatment of Psychopathology
Instructor Name
Month Day, Year
Literature Appraisal: Would the Woman in Our Case Have Been Enrolled in STAR*D?
Question: do the people enrolled in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study resemble the composite woman in our case closely enough for its findings to guide her care?
The study is a multisite, prospective, randomized, multistep trial of outpatients with nonpsychotic major depressive disorder, recruited from primary and specialty care, in which people who did not respond adequately to a first antidepressant were randomized to switch or augment options across up to four levels (Rush et al., 2004). This paper does not report what the study found; it asks only whether its participants look like her.
The Comparison
Our composite patient is a 67-year-old Spanish-speaking woman in a rural county with her third episode of major depression, stage 3 chronic kidney disease, type 2 diabetes, a hip fracture last year, and nine regular medicines. She did not respond to one antidepressant earlier in this episode. Table 1 sets the study's enrollment against her.
Table 1
STAR*D Enrollment Against the Composite Patient
| Enrollment criterion | Composite patient | Match |
|---|---|---|
| Age 18 to 75 years | 67 years | Match |
| Outpatient, primary or specialty care | Rural primary care outpatient | Match on setting type; rural representation unknown |
| Nonpsychotic major depressive disorder | Nonpsychotic, third episode | Match |
| Minimum symptom severity on the Hamilton scale | Moderate severity by her PHQ-9; Hamilton not done | Unknown |
| No prior inadequate response to a protocol treatment in the current episode | One failed antidepressant this episode; whether it was a protocol drug at an adequate trial is unclear | Unknown |
| No bipolar or psychotic disorder | None | Match |
| No general medical condition contraindicating protocol treatments | Chronic kidney disease, diabetes, recent fracture, nine medicines | Unknown; depends on the specific contraindications applied |
| Language of study assessments | Spanish preferred | Unknown |
Reading the Table
Four of eight rows match, none clearly mismatch, and four are unknown. That pattern is itself the result. The study was designed with broad inclusion so that its participants would resemble people treated in ordinary practice, and on age, setting, and diagnosis she fits. But the rows that are unknown are the ones most likely to matter for her: whether her medical conditions and medicines would have excluded her, whether her earlier treatment failure would have made her ineligible for the first level, and whether assessments were available in her language. A paper that summarized the study's results as applying to her would be assuming the answers to those questions.
Two of the unknowns could be resolved. Her PHQ-9 score of 14 places her in the moderate range on that instrument (Kroenke et al., 2001), but self-report and clinician-rated scales are not interchangeable, so whether she met the study's Hamilton threshold cannot be read from her chart; a Hamilton rating at her next visit would answer it. The medical exclusions could be checked against the full protocol. The language question and the rural question would need the study's descriptive reports, and if those show few participants like her, that absence is the answer.
What Was Measured
The primary outcome was the clinician-rated, 17-item Hamilton Rating Scale for Depression, administered by telephone by assessors masked to treatment, with self-reported symptoms, physical and mental function, side-effect burden, satisfaction, and health care use as secondary outcomes (Rush et al., 2004). A symptom score is a reasonable surrogate, but it is not what she has said matters most. Her priorities are being able to care for her grandchildren, not falling again, and not needing another medicine. Function is measured as a secondary outcome, which helps. Falls, fractures, and the burden of adding a drug to nine others are not outcomes the design reports directly, so the study cannot answer the questions closest to her life.
How Harms Were Collected
Side effects were collected as a self-reported rating of side-effect burden (Rush et al., 2004), which captures how troublesome effects are overall. A global burden rating is useful for comparing tolerability across treatment options but may miss specific harms that are rare, delayed, or not experienced as side effects, such as low sodium, falls, or bleeding, which are the harms of most concern for an older woman with kidney disease taking many medicines. Those are the harms the Beers Criteria single out for antidepressants in older adults, advising caution because of low sodium and advising against their use after falls or fractures unless safer alternatives are not available (American Geriatrics Society Beers Criteria Update Expert Panel, 2023). For her, the evidence on those harms has to come from sources other than this trial.
References
American Geriatrics Society Beers Criteria Update Expert Panel. (2023). American Geriatrics Society 2023 updated AGS Beers Criteria for potentially inappropriate medication use in older adults. Journal of the American Geriatrics Society, 71(7), 2052-2081. https://doi.org/10.1111/jgs.18372
Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2001). The PHQ-9: Validity of a brief depression severity measure. Journal of General Internal Medicine, 16(9), 606-613. https://doi.org/10.1046/j.1525-1497.2001.016009606.x
Rush, A. J., Fava, M., Wisniewski, S. R., Lavori, P. W., Trivedi, M. H., Sackeim, H. A., Thase, M. E., Nierenberg, A. A., Quitkin, F. M., Kashner, T. M., Kupfer, D. J., Rosenbaum, J. F., Alpert, J., Stewart, J. W., McGrath, P. J., Biggs, M. M., Shores-Wilson, K., Lebowitz, B. D., Ritz, L., . . . STAR*D Investigators Group. (2004). Sequenced treatment alternatives to relieve depression (STAR*D): Rationale and design. Controlled Clinical Trials, 25(1), 119-142. https://doi.org/10.1016/S0197-2456(03)00112-0
DNRS 6630 Week 8 instructions, in plain terms
The eighth week commonly asks you to appraise a study or body of literature against a specific patient or clinical question. You state the question, compare the study population with your patient, judge the outcomes measured and how harms were captured, and decide whether the findings apply. DNRS 6630 instructors usually want the appraisal organized around the question rather than the order of the article. A table comparing the sample with the patient is a common device. Expect a few pages in APA 7, citing the study itself and any design paper or secondary analysis you rely on. Some prompts allow a conclusion that the study does not apply, provided the reasons are specific. Keep description of the study short, since the reader is assumed to know it.
How this DNRS 6630 Week 8 example is built
The question sits alone in the first line so nothing else can be mistaken for the paper's purpose. A short paragraph identifies the study and names its design without narrating findings. The center of the document is a two-column comparison: enrollment criteria on the left, the composite person's corresponding characteristics on the right, and a narrow third column marking match, mismatch or unknown. Unknown appears more often than writers expect, and the paper treats that as a result rather than as an embarrassment. An outcome paragraph asks whether what was measured is what would matter to this person, separating surrogate endpoints from lived ones. A harms paragraph notes how adverse effects were collected. No study result is reproduced here.
Reading the DNRS 6630 Week 8 rubric
Summarizing the study is the submission markers see most and the one that scores worst, because the paper was asked a question it never returns to. Credit follows the comparison and the honesty of the unknown column, and appraisals that quietly assume a match for every unstated characteristic lose accuracy credit. Where a section names an appraisal tool, applying it visibly matters more than citing it, and papers naming a framework early and then ignoring its questions are marked accordingly. The outcome paragraph separates strong work, since a trial measuring something a person would never notice is applicable in a limited sense at best. Verdicts hedged into meaninglessness cost as much as overconfident ones, and both are read as avoidance.
DNRS 6630 Week 8 help: mistakes that cost marks
The submission graders see most here is a summary of STAR*D with a paragraph of opinion at the end, and it scores worst because the question set at the start is never answered. Return to the question in every section. Another mistake is comparing the patient to the study's headline population without checking the actual exclusion criteria. Writers also accept remission rates without asking how outcomes were rated and by whom. Look at how adverse effects were collected, since passive reporting undercounts them. Avoid declaring the study useless; say what part of it still informs care. Keep the patient's details consistent with earlier course cases if the prompt builds on them. Close by answering the enrollment question in one sentence.
Get a DNRS 6630 Week 8 example written to your instructions
Send the study your section assigned, the case it pairs with the appraisal and any tool it requires, and a matched paper comes back to you built around that question. The first custom one is free and returns inside 24 to 48 hours. The patient the study gets compared against in an example is assembled, and no clinical file is opened to write one.
More DNRS 6630 papers and DNP samples
- DNRS 6630 Week 1: Discussion Post
- DNRS 6630 Week 2: Mechanism Brief
- DNRS 6630 Week 3: Vignette Response
- DNRS 6630 Week 4: Drug Class Comparison
- DNRS 6630 Week 5: Discussion Post
- DNRS 6630 Week 6: Treatment Plan
- DNRS 6630 Week 7: Interaction Analysis
- DNRS 6630 Week 9: Special populations paper
- DNRS 6630 Week 10: Integrated case paper
- DNRS 6630 Week 11: Reflection
- DNRS 6800 Week 8: Referral letter
- DNRS 6211 Week 8: Payer Mix Analysis
- NURS 8002 Week 8: Translation evidence summary
- NURS 8750 Week 8: Final Document Critique Post
DNRS 6630 Week 8 questions, answered
Can an appraisal conclude that a study does not apply?
It can, and that conclusion is frequently the correct one. Papers reaching it honestly tend to score above papers that stretch toward applicability because the assignment felt like it wanted a positive answer. What matters is that the mismatches are specific and that the paper says what kind of evidence would be needed instead.
How much of the study should the paper describe?
Less than instinct suggests. This example spends a short paragraph on design and enrollment and nothing on findings, because the question asked was about who took part. Where a prompt explicitly requires a results summary, it belongs in a contained paragraph rather than spread through the appraisal, which is where papers lose their focus.
Is one study enough for an appraisal assignment?
Many prompts specify exactly one, precisely so the appraisal goes deep rather than wide. Others ask for a small set and expect comparison across them. The structure holds either way, though with several studies the comparison table grows a column per study and the verdict has to say which one carries the most weight and why.
Where can I find a free DNRS 6630 Week 8 sample paper?
The STAR*D applicability appraisal is printed here, including the table comparing the trial sample with our patient and the sections on outcomes and harms.
Does STAR*D apply to every patient with depression in DNRS 6630 Week 8?
Not automatically. The example compares its enrollment and measures with one composite woman and shows where the trial's findings fit her and where they do not.