DQ 2 : Discuss the historical application of statistics in the field of health care.

Sketch the history briefly and then commit to one episode, because the depth is where the marks are. Statistics entered health care through mortality counting — the London Bills of Mortality, then Farr's vital statistics — and moved from description to inference across the nineteenth and twentieth centuries as sampling, significance testing and the randomised trial were developed. The modern apparatus of quality measurement, risk adjustment and value-based payment is the same lineage arriving in administration. That is enough history. Then choose an episode other than Nightingale where you can show a change in what people actually did, which is the specific demand the prompt makes. Keep the history short and spend the words on the episode, since the example is where the marks are concentrated. Snow, Doll and Hill, Semmelweis and Framingham are the four that reward the effort, and each fails in a different way if you stop at the discovery.

Four candidates, each with a different shape. John Snow's 1854 mapping of cholera deaths against water supply is the cleanest, because the analysis produced an operational action — the removal of the Broad Street pump handle — and eventually the reconstruction of water and sewer systems. Doll and Hill's cohort study of British doctors turned smoking and lung cancer from suspicion into an established association and drove decades of policy and clinical counselling. Semmelweis compared maternal mortality between two clinics and derived handwashing, and is worth choosing precisely because the practice change was resisted for years, which lets you say something about statistics being necessary and not sufficient. The Framingham Heart Study produced the concept of a risk factor and, through it, the risk calculators still used in primary care today. Whichever you choose, end on the operational consequence: what did clinicians or administrators do differently, and how do we know.