NRNP 6654 Week 2 Population Profile Example

Psychiatric Mental Health Advanced Practice Nursing Care of Vulnerable/Special Populations Walden University Free custom sample in 24 to 48h

This NRNP 6654 Week 2 population profile example covers adults in the United States who are homeless under the federal HUD definition, people in emergency shelters, safe havens or places not meant for habitation, and who have a current mental disorder, including substance use disorders. The profile bounds the population first and says whose definition is used, then counts it with figures kept beside their sources, such as the HUD Annual Homelessness Assessment Report point-in-time count and SAMHSA data. A section shows how much the population varies by age, region and shelter status. The profile states there is no caseload behind it, and closes with implications tied to the figures. Walden NRNP 6654, Psychiatric Mental Health Advanced Practice Nursing Care of Vulnerable/Special Populations, grades PMHNP profiles on source quality and currency. Sources include the 2023 AHAR, SAMHSA reports and Fazel's systematic review of mental disorders among people experiencing homelessness.

CourseNRNP 6654 Psychiatric Mental Health Advanced Practice Nursing Care of Vulnerable/Special Populations
WeekWeek 2
Paper typePopulation profile
LengthAbout 870 words, 6 pages
FormatAPA 7 student paper
SchoolWalden University
ProgramMSN Psychiatric Mental Health Nurse Practitioner (PMHNP)
UpdatedOctober 2026

Free sample paper for NRNP 6654 Week 2

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Population Profile: Adults Experiencing Homelessness With Mental Disorders in the United States, Bounded First and Then Counted

Student Name

College of Nursing, Walden University

NRNP 6654: Psychiatric Mental Health Advanced Practice Nursing Care of Vulnerable/Special Populations

Instructor Name

Month Day, Year

What this page is doingThe title commits to the order that makes a profile checkable: define who is in the population, then count them. Figures reported before the boundary is drawn cannot be tested, because a reader cannot tell who they describe.
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Population Profile: Adults Experiencing Homelessness With Mental Disorders in the United States, Bounded First and Then Counted

Who Counts, and by Whose Definition

This profile covers adults in the United States who are homeless under the federal housing definition, meaning people living in an emergency shelter, a safe haven, or a place not meant for human habitation, and who have a current mental disorder, including substance use disorders. The boundary matters because the definitions in use differ. The federal Continuum of Care rule, which governs most homeless housing funds, adds a narrower category of chronic homelessness: a person with a disability who has lived in those places for a year without a break, or across four or more separate periods within three years that together total a year (24 C.F.R. ยง 578.3). School systems use a broader education definition that includes families sharing another household's housing, so a child counted as homeless by the school may not be counted by a shelter system.

People staying temporarily with friends, those in jail or hospital, and those housed but at imminent risk fall outside this profile. They are left out not because they are unimportant but because most of the studies below did not sample them, and a profile that claimed to describe them would be claiming more than its sources show.

Figures Kept Next to Their Sources

Size. A 2014 review reported that more than 600,000 people are homeless in the United States on any one night (Fazel et al., 2014). Point-in-time counts of this kind undercount people who are unsheltered or moving, and they describe one night, not the larger number who pass through homelessness in a year.

Mental disorders. The most recent meta-analysis, covering 39 publications with 8,049 participants in high-income countries through April 2021, estimated the prevalence of any current mental disorder at 76.2%. Alcohol use disorders were the most common category at 36.7%, followed by drug use disorders at 21.7%, major depression at 12.6%, and schizophrenia spectrum disorders at 12.4% (Gutwinski et al., 2021). These studies were drawn from many countries, and only some from the United States; the review counted only studies that used standardized diagnostic criteria, so it excludes self-reported problems.

Access. In a 1996 national survey of 2,974 homeless adults in the United States, 24.6% reported being unable to get medical care they needed in the prior year, and among those prescribed medicine, 32.1% reported being unable to take it as prescribed; health insurance was associated with more outpatient care and fewer reported barriers (Kushel et al., 2001). The figures are nearly three decades old and predate Medicaid expansion, so they describe the kind of barrier more reliably than its present size.

What this page is doingEvery figure carries its year, its sample, and the limit that matters to the claim built on it.
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How Much the Population Varies

The average hides a population that is mostly passing through and partly stuck. Using shelter records from New York City and Philadelphia in the late 1980s and early 1990s, Kuhn and Culhane (1998) sorted shelter users into three groups by pattern of use. About 80% were transitionally homeless: younger, with fewer mental health, substance use, and medical problems, and with short stays. About 10% were episodically homeless, moving in and out, with higher rates of those problems. About 10% were chronically homeless: older, with high rates of those problems, and using half of all shelter days.

The prevalence meta-analysis found the same kind of spread in its own data: estimates varied widely between studies, and the variation was partly explained by sampling method, location, and the proportion of women in each sample (Gutwinski et al., 2021). The same review noted that women and immigrants were poorly represented in the studies. A single prevalence figure for this population is therefore an average over groups whose needs differ sharply, and a service designed around the average will fit none of them well.

No Caseload Behind It

Nothing in this profile comes from a caseload, an agency's records, or anyone I have treated. It is built entirely from published studies, which means it inherits their gaps: unsheltered people, women, immigrants, and people doubled up are thinner in the evidence than in the population. Where a figure below drives an implication, the gap it carries goes with it.

Implications Tied to Figures

Because 36.7% have an alcohol use disorder and 21.7% a drug use disorder (Gutwinski et al., 2021), a psychiatric service for this population that treats substance use as a reason for referral elsewhere will turn away a large share of the people it exists to serve; integrated treatment is a design requirement, not an extra.

Because roughly 10% of shelter users account for half of shelter days (Kuhn & Culhane, 1998), long-term supported housing aimed at that group would free the largest share of shelter capacity, while short-term help suits the 80% who pass through quickly.

Because a third of those prescribed medicine reported being unable to take it (Kushel et al., 2001), prescribing plans must be built around storage, refills, and follow-up in the setting, which later papers in this course take up directly.

Because women and immigrants are poorly represented in the studies (Gutwinski et al., 2021), any service planned for them should gather its own local evidence rather than assume the averages apply.

References

Continuum of Care Program, 24 C.F.R. pt. 578 (2025). https://www.ecfr.gov/current/title-24/subtitle-B/chapter-V/subchapter-C/part-578

Fazel, S., Geddes, J. R., & Kushel, M. (2014). The health of homeless people in high-income countries: Descriptive epidemiology, health consequences, and clinical and policy recommendations. The Lancet, 384(9953), 1529-1540. https://doi.org/10.1016/S0140-6736(14)61132-6

Gutwinski, S., Schreiter, S., Deutscher, K., & Fazel, S. (2021). The prevalence of mental disorders among homeless people in high-income countries: An updated systematic review and meta-regression analysis. PLOS Medicine, 18(8), Article e1003750. https://doi.org/10.1371/journal.pmed.1003750

Kuhn, R., & Culhane, D. P. (1998). Applying cluster analysis to test a typology of homelessness by pattern of shelter utilization: Results from the analysis of administrative data. American Journal of Community Psychology, 26(2), 207-232. https://doi.org/10.1023/A:1022176402357

Kushel, M. B., Vittinghoff, E., & Haas, J. S. (2001). Factors associated with the health care utilization of homeless persons. JAMA, 285(2), 200-206. https://doi.org/10.1001/jama.285.2.200

What the NRNP 6654 Week 2 instructions ask for

In Week 2, NRNP 6654 commonly asks for a profile of a vulnerable population relevant to psychiatric practice. You define the population precisely, report its size and characteristics with current sources, describe variation within it, and draw implications for care. Faculty grade source quality and currency over citation count. Cite federal data and systematic reviews in APA 7, preferably from the last five years. A profile differs from a literature review by counting and describing the population. Writing about a population you work with is allowed if no caseload data are used. Implications should follow from the figures. NRNP 6654 faculty want the definition stated before any number appears. Pair every figure with its source and year. Show at least two ways the population varies.

Inside the NRNP 6654 Week 2 example

The profile opens on a boundary question before any data appears: who counts as inside this population, who does not, and whose definition is being used. That paragraph decides whether the rest can be checked. Epidemiological material follows, kept close to its sources, with the sampling limits of each study stated where they matter to the claim. Then comes the section that separates a strong profile from a weak one, in which the writer establishes how much the population varies internally and cites the evidence for that variation. Nothing in the document came from a caseload, an agency dataset or anyone the writer has worked with. A closing section draws the service implications, and each one is tied to a specific figure above rather than to the population's name.

NRNP 6654 Week 2 rubric: what earns full marks

The evidence row dominates this assignment, and it is assessed on source quality and currency rather than on quantity of citations. The example holds it by using primary epidemiological work where prevalence is claimed and by dating every figure. A second row rewards analytic treatment of the population, which the variation section satisfies structurally. What costs the most points here is the profile that quietly becomes a portrait, where one constructed individual is described at length and the reader is invited to take that person as the population. Advocacy publications used as prevalence sources cost the evidence row even when their numbers happen to be right. Figures over a decade old, presented without acknowledgment of their age, get marked. Profiles with no definitional boundary lose the first row before the data is even weighed.

NRNP 6654 Week 2 help: mistakes that cost marks

Profiles lose evidence credit when figures appear without sources or come from outdated reports. Pair every number with its source and year. Another common gap is an unclear definition, so the reader cannot tell who is counted. State it first. Writers also present one national figure as if it applied everywhere. Show variation. Avoid using local clinic data. Point-in-time counts undercount people who are unsheltered, so note that limit. Keep implications tied to specific figures. Close with the figure that matters most for psychiatric care. Writers also forget co-occurring substance use and physical illness, which shape psychiatric care for this group. Report them with sources. Another frequent slip is drawing implications not supported by any figure. Tie each one to a number.

Get a NRNP 6654 Week 2 example written to your instructions

Forward the Week 2 prompt, the rubric, and the population your section assigned, and the desk builds a profile on that group with its evidence dated and sourced. The first custom piece carries no charge and returns inside 24-48 hours, structured so you can swap in whichever studies your classroom requires.

More NRNP 6654 papers and PMHNP samples

NRNP 6654 Week 2 questions, answered

How recent do the figures have to be?

Your rubric usually names a window, and where it does not, the working expectation in this course is that prevalence and service use data are current enough that nothing major has changed since. The example dates every figure openly, including the older ones, and says why an older study is still the best available where that is the case. Undated numbers are the ones that draw comment.

Can I write about a population I work with directly?

You can write about that population, sourced from published evidence rather than from the people you see. Your working knowledge is useful for choosing what to look up and for recognizing when a study describes something unrecognizable. It is not a citable source in this assignment, and importing details from your caseload creates a confidentiality problem the profile does not need.

Is a profile just a literature review with a different name?

No, and treating it as one loses marks. A review organizes what has been studied and argues about the state of the evidence. A profile argues about a population, using studies as instruments, and it has to answer questions a review never asks: who is inside the boundary, how much they differ from each other, and what follows for services.

Where can I find a free NRNP 6654 Week 2 sample paper?

The homelessness and mental disorders profile is reproduced here with the HUD definition first, figures beside sources, variation and implications.

Which population does the NRNP 6654 Week 2 profile cover?

Adults who are homeless under the HUD definition and have a current mental disorder, including substance use disorders.