| Course | NR 506NP Healthcare Policy and Leadership |
|---|---|
| Week | 4 |
| Paper type | Outcomes evidence review |
| Length | About 1,160 words, 3 pages |
| Format | APA 7 student paper |
| School | Chamberlain University |
| Program | MSN |
| Updated | October 2026 |
Free sample paper for NR 506NP Week 4
Outcomes Evidence on Preventable Hospitalizations Under Nurse Practitioner and Physician Primary Care: One Randomized Trial, a VA Reassignment Study, Two Claims Analyses, and Why Self-Selection Decides What Each Can Support
Student Name
College of Nursing, Chamberlain University
NR 506NP: Healthcare Policy and Leadership
Instructor Name
Month Day, Year
Outcomes Evidence on Preventable Hospitalizations Under Nurse Practitioner and Physician Primary Care: One Randomized Trial, a VA Reassignment Study, Two Claims Analyses, and Why Self-Selection Decides What Each Can Support
One Outcome, One Comparison
Arguments over AB 890 cite "NP outcomes" as if there were one body of evidence. There are many outcomes, and studies of one do not answer questions about another. This review holds to one outcome, hospitalizations and acute care use that good primary care should prevent, and one comparison: patients whose primary care provider is a nurse practitioner against patients whose provider is a physician. It groups studies by what their design can support, because the other side in this debate has read the same studies and knows the weaknesses of each.
Hospitalizations were chosen because they matter to patients and payers alike and because both sides in California cite them. A preventable admission for uncontrolled diabetes or heart failure is a direct sign that outpatient care failed, and it is recorded in claims data in the same way whoever the primary care provider was, which makes it one of the few outcomes that can be compared across provider types without relying on chart review.
Studies by Data Source and Adjustment
Table 1 lists the four studies reviewed, each with its data source and how it dealt with differences between patient groups.
Table 1
Four Studies of Acute Care Use by Primary Care Provider Type
| Study | Data source and years | How groups were made comparable | Main finding on acute care |
|---|---|---|---|
| Mundinger et al. (2000) | Five clinics at one urban academic center, 1995 to 1997; 1,316 adults | Random assignment to an NP or physician | No significant difference in service use at 6 months or 1 year |
| Liu et al. (2020) | VA administrative data; 806,434 patients whose physician left VA practice, 2010 to 2012 | Difference-in-differences after reassignment to an NP or physician | NP-assigned patients had fewer total and ambulatory care sensitive hospitalizations; costs similar |
| Kuo et al. (2015) | National Medicare sample, patients with diabetes, 2007 to 2010; 345,819 | Multivariable, propensity score and instrumental variable methods | NP care associated with fewer potentially preventable hospitalizations (OR 0.90) |
| Morgan et al. (2019) | VA data on medically complex patients with diabetes, 2012 to 2013 | Case-mix adjustment | Total costs 6% to 7% lower for NP and PA patients, driven by less emergency and inpatient use among physician patients |
Note. OR = odds ratio. PA = physician assistant. VA = Veterans Affairs.
Self-Selection as the Main Problem
Every observational comparison of NP and physician patients faces the same threat: the patients are not the same people. Patients who choose an NP, or who are steered to one, may be younger, healthier or less complex, and if they are, they will be hospitalized less often regardless of who treats them. Kuo et al. (2015) state this directly: patients receiving all their care from NPs differed from physicians' patients by age, sex, race and ethnicity, socioeconomic status, residence and previous visits. Their propensity score matching substantially reduced those differences, but their instrumental variable approaches, designed to handle differences the data could not see, did not satisfactorily balance the groups. The odds ratio of 0.90 is therefore an association after adjustment for what Medicare claims record, and no more.
The designs in the table differ mainly in how they handle this problem. Adjustment for recorded characteristics, as in the Morgan and Kuo studies, handles only what is recorded. The Liu study used a natural experiment: patients whose physician left the VA were reassigned to a new provider, NP or physician, largely according to who had openings rather than patient choice. That reduces self-selection considerably, though it does not remove the possibility that managers assigned sicker patients to physicians. The Mundinger trial removed self-selection by randomizing.
What Each Supports Against What It Is Quoted For
Mundinger et al. (2000) supports the claim that, for adults without a regular source of care in one New York academic system in the 1990s, patients randomized to NPs used services no differently from those randomized to physicians. It is often quoted as proof that NPs are equal to physicians everywhere. It cannot support that: it was one setting, most patients were Hispanic women in their forties, and follow-up for service use was one year.
Liu et al. (2020) supports the claim that, in the VA, patients reassigned to NPs had fewer hospitalizations at similar cost and similar diabetes, cholesterol and blood pressure control. It is the strongest observational evidence in the set. It is quoted for private practice, where NPs are not embedded in an integrated system with shared records and specialists; the VA context may be part of the result.
Kuo et al. (2015) supports a modest association in Medicare patients with diabetes. It is quoted as showing that NPs reduce hospitalizations, which its own analysis does not claim.
Morgan et al. (2019) supports lower costs for complex VA patients with diabetes cared for by NPs and PAs together. It is often quoted for NPs alone, although it pooled NPs and PAs in its headline finding.
Where the Other Side Is Right
Opponents are right that none of these studies tests what AB 890 creates: an NP practicing alone, outside any system, after the minimum required years. The VA studies involve NPs working in teams inside a single health system. The trial involved NPs with the same authority as physicians in the same academic center. Evidence about independent practice in private settings, with patients who choose their provider, is thin. They are also right that other outcomes tell a different story in places: in Medicare claims, advanced practice clinicians ordered imaging more often after office visits than primary care physicians did (Hughes et al., 2015). A review limited to hospitalizations should not be quoted as if it covered every measure of quality or cost.
The Study That Would Settle It
The question California now faces could be answered with a study the state is well placed to run. Starting in 2023, some NPs began practicing under the new sections while others continued under standardized procedures. A study linking Medi-Cal claims to the Board of Registered Nursing's certification records could compare preventable hospitalizations among patients of 103 and 104 NPs, standard NPs and physicians in the same counties, before and after each NP's certification date. Better still would be random assignment of new Medi-Cal enrollees who do not choose a provider, which managed care plans already do, to primary care panels led by NPs or physicians. That would give the evidence the other side asks for, and it would give it for the practice the law actually allows.
References
Hughes, D. R., Jiang, M., & Duszak, R., Jr. (2015). A comparison of diagnostic imaging ordering patterns between advanced practice clinicians and primary care physicians following office-based evaluation and management visits. JAMA Internal Medicine, 175(1), 101-107. https://doi.org/10.1001/jamainternmed.2014.6349
Kuo, Y.-F., Chen, N.-W., Baillargeon, J., Raji, M. A., & Goodwin, J. S. (2015). Potentially preventable hospitalizations in Medicare patients with diabetes: A comparison of primary care provided by nurse practitioners versus physicians. Medical Care, 53(9), 776-783. https://doi.org/10.1097/MLR.0000000000000406
Liu, C.-F., Hebert, P. L., Douglas, J. H., Neely, E. L., Sulc, C. A., Reddy, A., Sales, A. E., & Wong, E. S. (2020). Outcomes of primary care delivery by nurse practitioners: Utilization, cost, and quality of care. Health Services Research, 55(2), 178-189. https://doi.org/10.1111/1475-6773.13246
Morgan, P. A., Smith, V. A., Berkowitz, T. S. Z., Edelman, D., Van Houtven, C. H., Woolson, S. L., Hendrix, C. C., Everett, C. M., White, B. S., & Jackson, G. L. (2019). Impact of physicians, nurse practitioners, and physician assistants on utilization and costs for complex patients. Health Affairs, 38(6), 1028-1036. https://doi.org/10.1377/hlthaff.2019.00014
Mundinger, M. O., Kane, R. L., Lenz, E. R., Totten, A. M., Tsai, W.-Y., Cleary, P. D., Friedewald, W. T., Siu, A. L., & Shelanski, M. L. (2000). Primary care outcomes in patients treated by nurse practitioners or physicians: A randomized trial. JAMA, 283(1), 59-68. https://doi.org/10.1001/jama.283.1.59
What the NR 506NP Week 4 assignment asks for
The Week 4 review has you examine the evidence on outcomes of nurse practitioner care. The checklist generally covers one outcome, the studies and their designs, how each handled bias, what each supports, limitations, how the evidence applies to policy and APA. Fix one outcome and one comparison rather than reviewing "NP outcomes" in general. Organize studies by design and how they made groups comparable. Name the main threat to validity and place each study by how well it answers it. Compare what each study supports with what advocates quote it for. Say where the other side is right. Describe the study that would settle the question.
How the NR 506NP Week 4 example is put together
The first section explains that studies of one outcome do not answer questions about another and justifies hospitalizations. Table 1 lists Mundinger and colleagues' randomized trial in a New York academic system, Liu and colleagues' VA study using reassignment when physicians left, Kuo and colleagues' Medicare claims study of patients with diabetes and Morgan and colleagues' VA study of complex patients with diabetes. The self-selection section explains why patients who choose or are assigned NPs may differ, and how each design handles it. The support section limits each study to what it shows, noting Morgan combined NPs with physician assistants. The concession section grants that none tests independent practice. The final section describes using California's new pathways for a natural experiment.
NR 506NP Week 4 rubric: what full points look like
Outcomes review rubrics in NR 506NP usually reward a focused question, accurate description of studies, appraisal of design and bias, correct interpretation, honest limits, policy relevance and APA. The appraisal of self-selection carries this review, placing each design according to how it handles the threat. The focus is credited for one outcome and comparison. Interpretation scores because each study is matched to what it supports versus how it is quoted. Limits earn points for conceding that no study tests independent practice. Policy relevance is credited through the proposed California study. Six references, including Hughes and colleagues for context, complete APA.
NR 506NP Week 4 help from the desk
The heaviest cost falls on a review that gathers supportive findings and reports them at face value, since the other side has already read those studies closely. Another loss is reviewing many outcomes at once, which blurs what each study shows. Students also treat claims data as if it were randomized, misquote studies that combine NPs and physician assistants or leave out studies that go against their position. Include contrary studies; graders reward it. You can appraise without being a statistician by asking how groups were made comparable. Studies from other countries can be used with care about setting. Name your outcome, and an NR 506NP review can place each study by its design.
Get a NR 506NP Week 4 example written to your instructions
Send the Week 4 instructions with the appraisal table or template your section uses and the outcome you are examining, and a custom example is written to that format and returned inside 24 to 48 hours. The first one is free. Every study named is one that exists, and which claims you are prepared to defend stays yours.
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NR 506NP Week 4 questions, answered
Do I have to include studies that go against my position?
Yes, and the review is judged partly on whether you found them. Negative and null results exist in this literature and a reader who knows the field notices their absence at once. Including them and explaining what their designs can and cannot show is stronger than omitting them, and it removes the easiest attack anybody could make on the paper.
How do I appraise a study when I am not a statistician?
By reading what the authors did rather than by evaluating their arithmetic. Who was compared with whom, how the groups were made comparable, how many patients, over what period, and what the authors themselves say their design cannot support. That level of appraisal is what these assignments ask for, and it catches most of the problems that matter to an argument.
Can I use a study from another country?
Sometimes, with a sentence saying why it transfers. Training routes, referral rules and payment differ enough that a result from one system may not carry into another, and a paper using foreign evidence without addressing that invites an obvious objection. Where the assignment restricts you to domestic studies, follow that, since the restriction is usually there deliberately.
Where can I find a free NR 506NP Week 4 sample paper?
Read the full Week 4 review of hospitalization outcomes under NP and physician care: with the four-study table, self-selection, what each supports, the concession, the proposed study and six references.
What does the NR 506NP Week 4 review concede to opponents?
That none of the studies tests what AB 890 creates, an NP practicing alone outside any system after the minimum required years, so the evidence does not directly answer that question.