PA 536 Week 7 Medical Comorbidity Review Example

Behavioral Medicine II Chamberlain University Free custom sample in 24 to 48h

This PA 536 Week 7 sample paper reviews depression and type 1 diabetes as one list held by one clinician, starting from the daily work diabetes demands and what depression took out of it. Chamberlain PA 536 (PA-536), Behavioral Medicine II, asks Master of Physician Assistant Studies (MPAS) students to reason about how a psychiatric and a medical condition act on each other. The sample counts D.K.'s boluses, sensor glances, set changes and alarms, shows dinner boluses falling to two or three a week, traces traffic in both directions through the treatments, tests afternoon fatigue against four weeks of sensor data, attributes the A1C, weight and insulin changes one by one, cites Lustman's meta-analysis and merges every visit into one October timetable.

CoursePA 536 Behavioral Medicine II
Week7
Paper typeComorbidity review
LengthAbout 770 words, 5 pages
FormatAPA 7 student paper
SchoolChamberlain University
ProgramMaster of Physician Assistant Studies (MPAS)
UpdatedOctober 2026

Free sample paper for PA 536 Week 7

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Medical Comorbidity Review for D.K. in September: Counting the Daily Work of Type 1 Diabetes, What Depression Took Out of It, Fatigue That Both Conditions Can Explain and Whose Number Is Moving

Student Name

Chamberlain University

PA 536: Behavioral Medicine II

Instructor Name

Month Day, Year

What this page is doingThe title promises a count of daily diabetes tasks and an argued answer about a shared symptom, which is the core of a comorbidity review.
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Medical Comorbidity Review for D.K. in September: Counting the Daily Work of Type 1 Diabetes, What Depression Took Out of It, Fatigue That Both Conditions Can Explain and Whose Number Is Moving

Count the Daily Work

Type 1 diabetes on a pump asks D.K. to do a set of things every day: about four to six insulin decisions with a carbohydrate estimate for each meal and snack; glances at the sensor, which D.K. estimates at twenty a day when well; responses to alarms, including one or two overnight on a typical week; an infusion set change every three days; a sensor change every ten days; and carrying a fast sugar source at all times. None of these can be skipped for long without consequences. In good months D.K. did all of them with little thought. Depression is about twice as frequent in people with diabetes as in the general population (Anderson et al., 2001), so a review like this one is routine work in a diabetes clinic, not an unusual case.

What this page is doingTurning a diagnosis into a list of daily acts gives the review something concrete to measure the second condition against.
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What Depression Took Out of That Capacity

Depression removed the parts that need initiative, planning and appetite. From March to June dinner insulin appeared in the pump record on fewer than half of all evenings, where in a well month it was missing perhaps once a week. Set changes slipped from every three days to every four or five, and D.K. said estimates of carbohydrates became "guesses I didn't bother with." The automatic parts, such as alarms and the basal rate, kept working. Depression and poorer glucose control are reliably associated in diabetes (Lustman et al., 2000), and this pattern shows one concrete way the link works for D.K.

Traffic in Both Directions

From depression to diabetes: missed boluses raised glucose after meals and A1C rose from 7.1 percent last autumn to 8.2 percent in March. From diabetes to depression: high glucose itself causes tiredness and poor concentration, which feel like depression; fear of lows after the severe episode two years ago narrowed D.K.'s activities. From treatment to diabetes: aripiprazole can raise weight and insulin needs. From treatment of diabetes to mood: the move off the bus route after a low has become the focus of therapy.

What this page is doingFollowing the traffic in each direction, including through the treatments, shows the two conditions as one system rather than two lists.
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The Finding Both Can Explain

D.K. reports afternoon fatigue most days. Depression can explain it. So can high glucose. The way to decide is to line them up in time. The sensor data for the past four weeks show glucose above 250 mg/dL for an hour or more on six afternoons. D.K.'s fatigue log, kept for those same four weeks, records fatigue on nineteen afternoons. Fatigue was present on all six high afternoons but also on thirteen afternoons with glucose in range. High glucose may add to the fatigue on some days, but it cannot account for most of it, so depression remains the main explanation and the target for treatment.

What this page is doingTesting a shared symptom against time-matched data, rather than assigning it to one condition by habit, is the reasoning this review exists to show.
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Whose Number Is Moving

Since June: A1C fell from 7.9 to 7.4 percent; weight rose from 78.4 to 80.1 kg; total daily insulin rose by about 3 units. Two treatments and one illness could each explain some of this. The A1C improvement tracks the return of dinner boluses, now logged on six evenings a week, which tracks the mood improvement. The weight gain began after aripiprazole was added and is the expected direction for that drug. The insulin increase fits both the weight gain and the boluses that are now actually being given. Each number is attributed in the chart with the reason for the attribution, so a later reader can disagree with it.

The Shared Risk

Diabetes for twenty-two years and depression together raise cardiovascular risk, and the 1.7 kg weight gain adds a little more. The lipid panel due at week 12 has been ordered, and the decision about whether aripiprazole is worth its weight cost will be made at the next visit with the lipid result in hand.

One Timetable

D.K. now has diabetes visits every three months, depression follow-up every four weeks, a lipid panel and weekly therapy. These have been merged into one timetable: the depression visit and the diabetes visit fall on the same afternoon in October, the lipid draw is attached to it and the therapy session moves to that week's Thursday so D.K. makes one trip to the clinic area instead of two.

References

Anderson, R. J., Freedland, K. E., Clouse, R. E., & Lustman, P. J. (2001). The prevalence of comorbid depression in adults with diabetes: A meta-analysis. Diabetes Care, 24(6), 1069-1078. https://doi.org/10.2337/diacare.24.6.1069

Lustman, P. J., Anderson, R. J., Freedland, K. E., de Groot, M., Carney, R. M., & Clouse, R. E. (2000). Depression and poor glycemic control: A meta-analytic review of the literature. Diabetes Care, 23(7), 934-942. https://doi.org/10.2337/diacare.23.7.934

PA 536 Week 7 instructions, in plain terms

The comorbidity review asks you to treat a chronic medical illness and a psychiatric illness as one problem in one person. Start by describing what the medical condition requires every day, counted rather than named, and then state what the psychiatric condition has removed from that capacity. Describe the effects in both directions, including through each condition's treatment. The prompt places special weight on a finding that either condition could explain: you must argue which one it belongs to, with evidence, rather than assign it by habit. When a number such as weight or a lab value is moving, attribute it to a cause and give the reason. Close with a single timetable that brings the visits, tests and therapy for both conditions together. The review stays at the level of a primary care clinician holding both lists, not a specialist's.

How this PA 536 Week 7 example is built

The paper opens by counting D.K.'s daily diabetes work: four to six insulin decisions with carbohydrate estimates, about twenty sensor glances, overnight alarms, set changes every three days and sensor changes every ten. Anderson et al. (2001) frames the frequency of depression in diabetes. The next section shows what depression took: dinner boluses on two or three evenings, set changes slipping to four or five days, while alarms and basal insulin carried on, linked to Lustman et al. (2000). A traffic section follows four directions, including aripiprazole's effect on weight. The shared-finding section lines up nineteen fatigue afternoons against six afternoons above 250 mg/dL and concludes depression explains most of it. A numbers section attributes the A1C fall, a 1.7 kg weight gain and 3 more units of insulin. The last sections cover cardiovascular risk and a single October timetable.

Where the points sit in the PA 536 Week 7 rubric

Faculty weigh this review mainly on how the medical illness is described. Treating diabetes as a diagnosis rather than a set of daily tasks loses the most, because the daily tasks are what depression has reduced. The second large deduction is a shared finding, such as fatigue or weight change, given to one condition without an argument. Credit then goes to tracing effects in both directions, including through treatments, and to attributing each moving number with a stated reason. A review that keeps two separate lists, one per condition, misses the integration the week tests. Using time-matched data to settle a shared symptom is rewarded strongly. The single timetable at the end earns its own share, since it is the practical result. Cited evidence on the link between the conditions and APA mechanics account for what is left.

PA 536 Week 7 help: mistakes that cost points

Reviews in this week usually go wrong by writing two short reports side by side, one about diabetes and one about depression, with no sentence in which they meet. Another frequent issue is announcing that fatigue is from depression, or from high glucose, without any data. A third is a moving A1C or weight listed without a cause. If your case pairs depression with a different illness, such as heart failure, COPD or chronic kidney disease, send the values and your section's instructions; the review we prepare would count the daily work of that illness, show what the mood disorder removed, test any shared symptom against dated data, attribute each changing number and finish with one timetable for both. If your case gives no values at all, tell us, and the review will say which values it needs and why before reasoning from what is available.

Get a PA-536 Week 7 example written to your instructions

Send the assignment, the rubric and the case your section issued, including any laboratory values or medication list it supplies, since the review is largely built out of those. A custom PA-536 Week 7 review is written to that material and returned inside 24-48h, the first one free.

More PA 536 papers and MPAS samples

PA 536 Week 7 questions, answered

Our case gives the medical condition with no values attached.

Write the review from what the condition demands of the person instead, which is available without a single number. Daily tasks, how often something has to be checked, what happens when a week is missed: all of it supports the interaction argument. Then name the two values that would sharpen the document and say what each would settle, which is worth more than a paragraph built on invented figures.

Does the review need a separate section for each condition?

Follow the headings your section publishes, since many issue them and grade against them. Where the shape is open, the stronger document is organized by what passes between the two rather than by the conditions themselves, because separate sections tend to produce two competent accounts with nothing running across the join. Where headings are mandatory, put the interaction material inside them rather than losing it.

How far into specialist ground does this go?

As far as deciding what this clinic keeps and what it asks somebody else about, and no further. That boundary is the course's own territory, and a review stating it explicitly reads as written by a generalist who knows the edges of the job. These are academic samples describing a finished assignment and how it is marked rather than anything to be applied to a person.

Where can I find a free PA 536 Week 7 sample paper?

The full PA 536 Week 7 comorbidity review of depression and type 1 diabetes, with counted daily tasks and a data test of shared fatigue, is on this page.

How does the PA 536 Week 7 sample decide where the fatigue comes from?

It matches four weeks of fatigue logs to sensor data: fatigue came on nineteen afternoons but glucose was high on only six, so depression explains most of it.