NR 715 Week 5 Conceptual Model Write-Up Example

Course	NR 715 Scientific Underpinnings
Week	5
Paper type	Conceptual model write-up
Length	About 1,120 words, 5 pages
Format	APA 7 student paper
School	Chamberlain University
Program	Doctor of Nursing Practice (DNP)
Updated	October 2026

Free sample paper for NR 715 Week 5

A Conceptual Model of Clinical Inertia at the Heart Failure Titration Visit, Built on COM-B, With One Proposition per Arrow

Student Name

College of Nursing, Chamberlain University

NR 715: Scientific Underpinnings

Instructor Name

Month Day, Year

What this page is doingThe title promises one proposition per arrow, which tells the reader the figure is an argument to be checked rather than a diagram to be admired.

A Conceptual Model of Clinical Inertia at the Heart Failure Titration Visit, Built on COM-B, With One Proposition per Arrow

Problem and Framework in a Paragraph

In a general cardiology clinic, most visits at which an adult with heart failure with reduced ejection fraction could have had a heart failure drug started or increased ended with no change and no recorded reason, 571 of 704 last year. Earlier in the term these visits were given a name, clinical inertia, with four attributes, and the COM-B model was chosen to explain them because, in its terms, a titration happens only when capability, opportunity and motivation coincide (Michie et al., 2011). This paper turns the model into a figure specific to the clinic, with each concept defined as before and each connection stated as a claim.

The Figure

Figure 1

Clinical Inertia at the Titration Visit, Concepts and Connections

Box	Concept	Connects to	Proposed mechanism	Expected strength
A	Capability: knowledge of target doses and safe titration steps	D	A prescriber who cannot state the next step cannot take it	Weak in this clinic
B	Opportunity: safety information and time present at the visit	D, C	Current potassium and kidney values make a change judgeable; without them the safe default is no change	Strong
C	Motivation: beliefs about the consequences of titrating	D	A prescriber who expects low blood pressure or a rising potassium waits even when the values allow a change	Moderate to strong
D	Behavior: titration at an eligible visit	E	Each change moves the patient one step toward target	Direct
E	Proportion of patients at 50% or more of target dose	F	Higher doses deliver more of the drugs' benefit	Moderate
F	Heart failure hospitalization		Outcome; many other causes	Weak within one year

Note. Note. Read each row as a box and its outgoing arrows. B also points to C: current labs reduce feared harm. Boxes A to C are COM-B components; D is the inverse of clinical inertia.

The figure is presented as a table so that every arrow can carry its mechanism and its expected strength in words. Six boxes are enough; adding the fourteen theoretical domains as separate boxes would make a figure nobody could read at a glance and would hide the three propositions that matter.

What this page is doingWriting the mechanism and expected strength beside every arrow turns the figure from decoration into a set of claims the project can test.

Definitions Carried Forward

Each concept keeps the definition given earlier in the term. Behavior, box D, is a titration-eligible visit at which a recommended heart failure drug is started or its dose increased, and its absence, without a sound reason, is clinical inertia as defined by its four attributes: indication, availability, no change and no sound reason. Capability, opportunity and motivation keep their COM-B meanings, narrowed to this behavior: capability is psychological capability, knowing the targets and steps; opportunity is physical and social opportunity at the visit, chiefly current laboratory values and time; motivation is reflective motivation, chiefly beliefs about consequences in the sense used by the theoretical domains framework (Cane et al., 2012).

One Proposition per Arrow

A to D. Greater capability increases titration, but the effect is expected to be weak here, because all eight prescribers can state target doses. This arrow is kept because removing it would assume what has not been measured.

B to D. When safety values are current at the visit, titration becomes more likely. This is expected to be the strongest arrow: a prescriber facing a potassium from four months ago has a reason to wait that is not inertia but a rational default.

B to C. Current values also reduce feared harm. A prescriber who sees a potassium of 4.3 mmol/L today is less likely to imagine a dangerous rise than one who sees no recent value. This arrow explains how fixing opportunity could change motivation without any education.

C to D. Stronger beliefs that titration will cause low blood pressure, kidney decline or high potassium reduce titration, even when values allow it. The strength is expected to be moderate to strong, especially for older patients with kidney disease, who make up 38% of the population.

D to E. Each titration moves a patient toward target, so more titration at eligible visits raises the share of patients at half or more of target dose.

E to F. Higher doses should reduce hospitalization, but within one year and in 612 patients the effect will be hard to see. Trials of titration support the direction of this arrow; the clinic's own data are unlikely to confirm its size (Mebazaa et al., 2022). The arrow is drawn anyway, and drawn thin, because leaving it out would hide the reason the clinic cares about the behavior at all.

What this page is doingRanking the arrows by expected strength, and keeping a weak one visible, tells the reader where the model expects the evidence to be firm and where it will not be.

The Measurement Column

Table 1

How Each Concept Will Be Seen Moving

Concept	Empirical handle in the clinic	Source
Capability	Score on a six-item case vignette asking for the next titration step	Prescriber survey, twice a year
Opportunity	Share of eligible visits whose potassium and creatinine were drawn within the past month	Laboratory and visit records
Motivation	Mean agreement with five statements about the consequences of titrating	Prescriber survey, twice a year
Behavior	Share of eligible visits ending in clinical inertia	Monthly visit report and chart sample
Dose achieved	Share of patients at 50% or more of target dose for each class	Medication list, quarterly
Hospitalization	Heart failure admissions per 100 patient-years	Accountable care organization report

Note. Note. Survey items to be drawn from published theoretical domains framework questionnaires and piloted with two prescribers.

Assumptions and Boundary

The model assumes the visit is where the decision is made. Titration by telephone between visits exists in this clinic but is rare, and it is outside the figure. Several factors are deliberately outside: patients' acceptance of a change, out-of-pocket drug costs and whether patients take the medicines. These matter, and the third weakens the arrow from E to F, but none can be measured reliably at the visit, and including them as boxes would make the model unfalsifiable by giving every outcome somewhere to come from. The model also assumes the three COM-B components can be separated in measurement, which the theoretical domains framework supports but does not guarantee.

What this page is doingNaming what sits outside the figure, and why, shows the boundary was drawn on purpose and not reached by running out of room.

What the Model Predicts

If the model is right, the share of eligible visits with current labs should be lower at inertia visits than at titration visits, and beliefs about harm should be stronger among prescribers with higher inertia rates. If current labs are equally common at both kinds of visit, the strongest arrow in the figure is wrong.

References

Cane, J., O'Connor, D., & Michie, S. (2012). Validation of the theoretical domains framework for use in behaviour change and implementation research. Implementation Science, 7, Article 37. https://doi.org/10.1186/1748-5908-7-37

Mebazaa, A., Davison, B., Chioncel, O., Cohen-Solal, A., Diaz, R., Filippatos, G., Metra, M., Ponikowski, P., Sliwa, K., Voors, A. A., Edwards, C., Novosadova, M., Takagi, K., Damasceno, A., Saidu, H., Gayat, E., Pang, P. S., Celutkiene, J., & Cotter, G. (2022). Safety, tolerability and efficacy of up-titration of guideline-directed medical therapies for acute heart failure (STRONG-HF): A multinational, open-label, randomised, trial. The Lancet, 400(10367), 1938-1952. https://doi.org/10.1016/S0140-6736(22)02076-1

Michie, S., van Stralen, M. M., & West, R. (2011). The behaviour change wheel: A new method for characterising and designing behaviour change interventions. Implementation Science, 6, Article 42. https://doi.org/10.1186/1748-5908-6-42

What the NR 715 Week 5 assignment asks for

Summarize the problem and the chosen framework in a single paragraph. Then present the figure with few enough concepts to read at a glance, and carry forward the definitions you gave each concept earlier in the term rather than writing new ones. Make the connectors the substance: every arrow needs a direction, a mechanism stated in a clause and a note on whether the relationship is expected to be strong or weak. Write one proposition per arrow in the text. Give each concept an empirical handle, the thing your unit would record to show it moving, along with its source. State the model's assumptions and draw a boundary that names what deliberately sits outside the figure and why. Avoid a figure in which everything connects to everything, because a model that permits every outcome cannot be tested.

Inside the NR 715 Week 5 example

The figure, presented as a table, lists six boxes with their outgoing arrows, mechanisms and expected strengths, and a note adds the arrow from opportunity to motivation. A short section explains why the fourteen theoretical domains were not drawn as separate boxes. Definitions are carried forward from the concept analysis and the framework paper. Six propositions follow, one for each arrow, with capability expected to be weak because every prescriber can state target doses and the hospitalization link kept but drawn thin. A second table pairs each concept with a measure, from a six-item vignette to admissions per 100 patient-years. The boundary section places patient acceptance, cost and adherence outside the figure. A last section says which result would show the strongest arrow to be wrong.

NR 715 Week 5 rubric: what full points look like

A decorative figure scores worst: boxes joined by lines with no direction, no mechanism and nothing in the text explaining what any connector claims. Next is concept drift, a box labeled one way in the figure and another in the prose, which shows the definitions were never fixed. A model in which everything connects to everything loses heavily, because it cannot be wrong. Graders also take points for a borrowed diagram reproduced with the writer's problem written underneath it, for concepts with no empirical handle and for missing assumptions. Write-ups score well when each arrow carries a proposition the project could test, when the measurement column ties every concept to a source and when the boundary is argued instead of reached by accident.

NR 715 Week 5 help from the desk

Most draft models have too many boxes and arrows that assert nothing. Share your problem, framework and definitions, and we can help you cut the figure to the concepts that matter, write a mechanism and expected strength for each arrow, build the measurement column from data your unit already holds and draw a boundary you can defend. We can also check that your definitions match earlier assignments. The model represents your own thinking about your own setting. A model drawn as a table, as in this sample, is often easier to defend than a diagram, and we can help you produce either.

Get a NR 715 Week 5 example written to your instructions

Send the prompt, the rubric, the framework you settled on and a short description of the setting. We build a custom NR 715 conceptual model write-up with a labeled figure and a proposition for every arrow, returned inside 24 to 48 hours. The first one is free.

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NR 715 Week 5 questions, answered

Does the figure need particular software?

No. Word shapes, a slide exported as an image, or a clean hand drawing scanned in all pass, provided the labels are legible and the arrows point somewhere. What matters for the grade is the caption, the numbering and the note beneath, since the figure is treated as a formatted element rather than as decoration.

My model is adapted from a published one. How is that handled?

The example shows the adaptation labeled as one, cited to the original, with each change argued rather than slipped in. Removing a construct, adding a mediator or renaming a concept for a nursing setting are all defensible, but the write-up has to say which alteration was made and what about the writer's problem required it.

How many concepts belong in the figure?

Enough to carry the argument and no more. Each box has to earn its place twice, once by appearing in a proposition and once by appearing in the measurement section, and a concept that fails either test is passenger weight. Crowded figures usually mean the writer was reluctant to decide what the problem is really about.

Where can I find a free NR 715 Week 5 sample paper?

A complete conceptual model write-up for clinical inertia at heart failure titration visits, with propositions and measures, is on this page.

Why does the NR 715 Week 5 model keep a weak arrow to hospitalization?

Leaving it out would hide why the clinic cares about titration, so it stays in the figure but is labeled weak within one year.