PU535 Unit 6 Antimicrobial Resistance Reflection Example

I Came In Blaming Patients Who Stop Their Pills: A Unit 6 Seminar Reflection on Learning That Antimicrobial Resistance Is Selection Acting on Whole Bacterial Populations, Fed by Every Dose Given to People and Animals and Spread Where Sanitation Fails

[Student Name]

Purdue University Global

PU535: Public Health Biology - A Global Perspective

Unit 6 Seminar Reflection

[Instructor Name]

[Date]

The writer and the clinic are composite; the seminar content, the evidence discussed and the research cited are real.

What I Believed Before the Seminar

I have told patients for six years that stopping antibiotics early breeds resistant bacteria. I believed it because I was taught it, because it is printed on pharmacy bags, and because it gave me something useful to say in a two-minute discharge conversation. It also located the problem in a place I found comfortable: in the behavior of individual patients, which I could influence by explaining things well. Resistance, in that account, was a failure of adherence.

What the Seminar Did to It

The session opened by asking where a resistant organism comes from, and the answer was not a person. It is a bacterial population in which a few members already carry a trait that lets them survive a drug, and every exposure to the drug kills their competitors and leaves them the space. The relevant actor is therefore the whole population of bacteria in a gut, a wound, a farm or a sewer, and the relevant force is selection. Once the question was posed that way, my belief had an obvious problem: a longer course is more exposure, not less. For most common infections there is no evidence that completing a fixed number of days reduces resistance, and the argument for shorter courses is that they expose fewer bacteria for fewer days (Llewelyn et al., 2017). My advice was not merely incomplete. For some infections it was pointing the wrong way. The thing I was certain about turned out to be the one claim in the lecture with no evidence behind it.

The Two Numbers That Settled It for Me

Two figures from the discussion did more than the argument alone. The first was the scale of antibiotic use outside human medicine: a large majority of the world's antimicrobial tonnage goes to food animals, much of it for growth and routine prevention rather than treatment, and consumption in that sector has been rising fastest in middle-income countries (Van Boeckel et al., 2015). The second was that across countries, resistance tracks sanitation, water quality and governance at least as closely as it tracks how many antibiotics the country's doctors prescribe (Collignon et al., 2018). Both numbers sit outside the clinic door. Neither can be reached by a better discharge conversation.

What I Got Wrong, Specifically

I was conflating three different things. Treatment failure in one patient, which stopping early can certainly cause, is not the same as resistance appearing in that patient's organisms, which is a selection event, and neither is the same as resistance spreading through a community, which is mostly transmission. My advice addressed the first and I presented it as an answer to the third. The seminar's framing made that error visible to me in a way reading would not have, because somebody in the group asked the question I could not answer: if finishing the course prevents resistance, why do shorter courses perform as well or better in trials?

What I Still Think Holds

I do not now believe adherence is irrelevant, and the seminar did not claim that. Stopping a tuberculosis regimen early does select resistant organisms, because the regimen is long, the organism is slow and partial treatment leaves survivors. Taking a drug for too few days in a serious infection can also leave disease behind. What changed is that I no longer treat adherence as the main engine of the problem, and I no longer use it as the reason for a fixed seven or ten days when the evidence supports fewer. Prescribing restraint, the review I read afterward argues, matters more than any patient behavior, and most of the restraint has to come from prescribers (Llor & Bjerrum, 2014).

Why This Belongs in a Public Health Biology Course

The seminar's real lesson was about levels. The biology of resistance happens in a bacterial population, not in a patient, and that single shift changes what counts as an intervention. Infection control, water and sanitation, animal husbandry and vaccination all act on the population; patient education acts on one person's dose. The burden makes the stakes concrete, since bacterial resistance was associated with an estimated 4.95 million deaths worldwide in 2019, with 1.27 million attributable directly to it (Murray et al., 2022). A problem of that size was never going to be solved in the discharge conversation I was having.

What I Will Do Differently

Three changes. I will stop saying that stopping early causes resistance, and say instead that the goal is to take the shortest course that treats the infection, with a plan to reassess if symptoms persist. I will ask our clinic's prescribers for the one number we do not currently have, which is how many of our courses exceed the duration our own guidelines recommend, since that figure is the one we can act on. And in the community education sessions I run, I will spend the time I used to spend on finishing the course on handwashing, water handling and childhood immunization, because those act on transmission, which is the step where a community session can still change something. The last of those is the hardest change to make, because the old message was short and the new one is not, and I expect to spend the rest of the term learning to say it in two minutes.

References

Collignon, P., Beggs, J. J., Walsh, T. R., Gandra, S., & Laxminarayan, R. (2018). Anthropological and socioeconomic factors contributing to global antimicrobial resistance: A univariate and multivariable analysis. The Lancet Planetary Health, 2(9), e398-e405. https://doi.org/10.1016/S2542-5196(18)30186-4

Llewelyn, M. J., Fitzpatrick, J. M., Darwin, E., Tonkin-Crine, S., Gorton, C., Paul, J., Peto, T. E. A., Yardley, L., Hopkins, S., & Walker, A. S. (2017). The antibiotic course has had its day. BMJ, 358, j3418. https://doi.org/10.1136/bmj.j3418

Llor, C., & Bjerrum, L. (2014). Antimicrobial resistance: Risk associated with antibiotic overuse and initiatives to reduce the problem. Therapeutic Advances in Drug Safety, 5(6), 229-241. https://doi.org/10.1177/2042098614554919

Murray, C. J. L., Ikuta, K. S., Sharara, F., Swetschinski, L., Robles Aguilar, G., Gray, A., Han, C., Bisignano, C., Rao, P., Wool, E., Johnson, S. C., Browne, A. J., Chipeta, M. G., Fell, F., Hackett, S., Haines-Woodhouse, G., Kashef Hamadani, B. H., Kumaran, E. A. P., McManigal, B., ... Naghavi, M. (2022). Global burden of bacterial antimicrobial resistance in 2019: A systematic analysis. The Lancet, 399(10325), 629-655. https://doi.org/10.1016/S0140-6736(21)02724-0

Van Boeckel, T. P., Brower, C., Gilbert, M., Grenfell, B. T., Levin, S. A., Robinson, T. P., Teillant, A., & Laxminarayan, R. (2015). Global trends in antimicrobial use in food animals. Proceedings of the National Academy of Sciences, 112(18), 5649-5654. https://doi.org/10.1073/pnas.1503141112