The pandemic has taught us to think beyond making healthcare more cost-effective. It should be more resilient, too, says a Viennese team of researchers – which developed a stress test to identify its strengths and weaknesses
[Vienna, July 29] Retirement waves, mass quarantines, or the lack of interest to work in the countryside: there are numerous reasons why there are more than average numbers of medical practices closing simultaneously. The system usually can compensate for some of these shortfalls. There is, however, a point at which the situation can become critical. Before now, it was impossible to predict where that point would be. A team of researchers from the Complexity Science Hub Vienna (CSH) now proposes a method for identifying (tipping) points where an adequate medical treatment for a population cannot be guaranteed: the first healthcare stress test.
In their newest publication in Nature Communications, the scientists use data from Austria to show how many resident physicians and medical specialists can drop out before patients don’t find a new doctor within a reasonable distance. Yet, the authors emphasize that their method can be used in any country that has the relevant data available.
How the stress test works
For their simulations, the scientists had access to anonymized Austrian patient data from 2018. They combined them with publicly available data on doctors' office hours. CSH's visualization team developed an interactive visualization to make their multi-dimensional dataset more accessible.
"Our data shows that patients do not choose physicians at random but rather via naturally emerging networks," explains CSH researcher Michaela Kaleta, one of the first authors of the paper. If a gynecologist is on vacation, the patients usually go to another particular doctor as a substitute, and vice versa. If the same gynecologist retires, the patients are very likely to switch permanently to that colleague.
"We see that such patient-doctor-networks and patient flows are surprisingly constant, especially in rural areas," says Jana Lasser (Graz University of Technology); the complexity scientist, shared first author, has been involved in this work since her time at CSH.
By feeding the real-world networks into a computer model, the researchers can "shock" the system by removing physicians - as in a disease wave. "We can take one network node, i.e., doctor avatar, out of the system at a time and observe where the patients are moving on to within the network – and at what point a sufficient healthcare can no longer be provided,” says Lasser.
Eye doctors in Styria and Vorarlberg
The team found that the resilience of local healthcare depends on more than just the number of physicians in that region, known as “physician density."
"Take ophthalmology in Styria and Vorarlberg as an example," explains Lasser. "According to our dataset from 2018, both Austrian provinces had about the same number of contracted eye doctors per person, in other words, about the same physician density. However, we see that a shock in Vorarlberg can be four times larger than in Styria before patients don’t find proper eye treatment anymore." According to this model, in Styria, 7% of eye doctors can be removed before healthcare becomes critical, compared to 28% in Vorarlberg.
"Our stress test shows very precisely in which regions in Austria the healthcare system is resilient, and where health authorities would have to take urgent steps to improve the situation," says Lasser. "The regional differences in Austria can be quite significant."
Stress testing allows for better long-term planning
"In many areas, such as the banking sector, stress tests have long been conducted to better prepare for crises," highlights project leader Peter Klimek (CSH & Medical University of Vienna). "For healthcare, a stress test has long been missing." Yet, the pandemic has shown that medical care can quickly reach critical limits when a large number of personnel is not available at a time.
"We will have to deal with such crises in the future too,” says Klimek. “That’s why all countries face the challenge of rebuilding their healthcare systems: not only do they need to keep them affordable, but they also have to restructure them in a way that they become more resistant to shocks." The approach presented here is a way to reach that goal. "We strongly recommend health authorities to look at how well their networks can absorb shocks. We can only find the balance between cost efficiency and crisis resilience when we know the weaknesses and strengths of the system,” Klimek concludes.
The study "Stress-testing the resilience of the Austrian healthcare system using agent-based simulation" by Michaela Kaleta, Jana Lasser, Elma Dervic, Liuhuaying Yang, Johannes Sorger, D. Ruggiero Lo Sardo, Stefan Thurner, Alexandra Kautzky-Willer, and Peter Klimek appeared in Nature Communications.
About CSH
The mission of the Complexity Science Hub Vienna is to host, educate, and inspire complex systems scientists dedicated to making sense of Big Data to boost science and society. Scientists at the Hub develop methods for the scientific, quantitative, and predictive understanding of complex systems.
The CSH is a joint initiative of AIT Austrian Institute of Technology, Central European University CEU, Danube University Krems, Graz University of Technology, IIASA, Medical University of Vienna, TU Wien, VetMedUni Vienna, Vienna University of Economics and Business, and Austrian Economic Chambers (WKO). https://www.csh.ac.at
