PUBH 6005 Week 2 Field Scope Paper Example

Pushing a Pharmacy Problem Outward: A Field Scope Paper Moving Insulin Rationing From the Individual Patient to the Population of US Adults With Diabetes Who Use Insulin

Student Name

Walden University

PUBH 6005: Perspectives on Health and the Developing Scholar-Practitioner

Instructor Name

Month Day, Year

Pushing a Pharmacy Problem Outward: A Field Scope Paper Moving Insulin Rationing From the Individual Patient to the Population of US Adults With Diabetes Who Use Insulin

Introduction

As a community pharmacist I meet insulin rationing one patient at a time: a man who asks whether a vial will last if he skips his evening dose, a woman who waits until Friday to pick up her pens. At the counter, the problem has a face and a solution, usually a coupon card or a call to the prescriber. This paper asks what the same problem looks like when it is moved outward, from the individual to the clinic, the population and the systems that shape it. The aim is to define a topic in public health terms rather than clinical ones.

The Individual Scale

At the level of a single patient, rationing is a behavior: using less insulin than prescribed. Its consequences are clinical and can be severe, including high blood glucose and, for people with type 1 diabetes, diabetic ketoacidosis. The natural response is individual as well, such as counseling, a lower-cost formulation or a manufacturer's assistance program. These responses help the person in front of me. They do nothing for the patient at the pharmacy across town.

The Clinic Scale

Researchers at an academic diabetes center asked 199 patients about their insulin use and a quarter said the price had made them skimp (Herkert et al., 2019). This moves the problem from anecdote to measurement, but only within one clinic's patients. It tells a reader the problem is common enough to measure, not how common it is nationally.

The Population Scale

A national survey changes the question again. Using data from a federal household survey, Gaffney et al. (2022) estimated that roughly one in six US adults who use insulin rationed it in the previous year, which they projected to about 1.3 million people. At this scale, the question is no longer why a particular patient rationed but which groups ration most and why rates differ between them.

Rose (1985) drew this distinction sharply. Asking why some individuals become ill is a different question from asking why some populations have high rates of illness, and the answers point to different interventions. For rationing, the individual question leads to adherence counseling. The population question leads to prices, insurance benefit design and income, which no counseling session can change.

The Systems Scale

Moving outward once more, rationing sits inside the broader social conditions that shape diabetes outcomes. A 2021 statement on the social roots of diabetes named socioeconomic status, food environment, health care access and the physical and social environment as factors linked to diabetes risk and outcomes (Hill-Briggs et al., 2021). Cost-related underuse is one route through which income and insurance reach a person's blood glucose.

The health impact pyramid of Frieden (2010) offers a way to sort possible responses by scale. At the base are changes to socioeconomic factors and to the context that makes healthy choices the default; at the top is individual counseling, which reaches people one at a time and depends on their continued effort. A pharmacist's work sits near the top. Policies that cap what insured patients pay for insulin act lower on the pyramid, changing the context for everyone covered rather than relying on each patient to find a coupon.

What Remains Uncertain at Each Scale

Each scale also has its own blind spots. The clinic survey drew on patients already connected to specialist care, who may differ from people managing diabetes with only a primary care visit a year. The national estimate depends on people reporting a sensitive behavior in a household interview, which may lead some to understate it. Neither source tells me how often rationing leads to emergency visits or hospital stays, the outcomes a health department would most want to count. The case for treating rationing as a population problem survives these gaps, yet they mark the questions I would need to answer before recommending any particular response.

Why Ohio Is Not Yet in the Definition

I considered defining the topic as rationing among Ohio adults. I could not find a published Ohio estimate, and building one is beyond what a first-term paper can do. Keeping the definition national for now lets me rely on measured figures, and narrowing to Ohio can follow once I know what state data exist.

Defining the Topic

For this program, my topic is cost-related insulin rationing among US adults with diabetes who use insulin, studied at the population and systems scales. That definition keeps the patient I know at the center while making room for the questions public health asks.

Table 1

The Same Problem at Four Scales

Note. Compiled from the sources discussed in this paper.

What This Shift Costs

Moving outward means giving up some of what I know best. At the counter I know names, histories and the details of a particular insurance plan. At the population scale those details disappear into averages. The shift also means my own observations become examples rather than evidence. That is uncomfortable for a practitioner, but it is what allows a reader who has never stood at a pharmacy counter to check my claims.

Conclusion

Insulin rationing is a behavior at the counter, a measurable rate in a clinic, a national pattern in a population and an outcome of pricing and coverage decisions in the health system. Defining it as a public health topic means choosing the outer scales while remembering the person at the center. The evidence-based approach this program teaches asks practitioners to bring community knowledge and research together (Brownson et al., 2009), and this topic gives me a place to practice both. The next step is a structured search to learn how much has been published beyond the two surveys cited here.

References

Brownson, R. C., Fielding, J. E., & Maylahn, C. M. (2009). Evidence-based public health: A fundamental concept for public health practice. Annual Review of Public Health, 30, 175-201. https://doi.org/10.1146/annurev.publhealth.031308.100134

Frieden, T. R. (2010). A framework for public health action: The health impact pyramid. American Journal of Public Health, 100(4), 590-595. https://doi.org/10.2105/AJPH.2009.185652

Gaffney, A., Himmelstein, D. U., & Woolhandler, S. (2022). Prevalence and correlates of patient rationing of insulin in the United States: A national survey. Annals of Internal Medicine, 175(11), 1623-1626. https://doi.org/10.7326/M22-2477

Herkert, D., Vijayakumar, P., Luo, J., Schwartz, J. I., Rabin, T. L., DeFilippo, E., & Lipska, K. J. (2019). Cost-related insulin underuse among patients with diabetes. JAMA Internal Medicine, 179(1), 112-114. https://doi.org/10.1001/jamainternmed.2018.5008

Hill-Briggs, F., Adler, N. E., Berkowitz, S. A., Chin, M. H., Gary-Webb, T. L., Navas-Acien, A., Thornton, P. L., & Haire-Joshu, D. (2021). Social determinants of health and diabetes: A scientific review. Diabetes Care, 44(1), 258-279. https://doi.org/10.2337/dci20-0053

Rose, G. (1985). Sick individuals and sick populations. International Journal of Epidemiology, 14(1), 32-38. https://doi.org/10.1093/ije/14.1.32