Hospitals that treat HIV patients in many regions of Africa are under a lot of stress. Clinics are full, medicines don't always get there on time, and healthcare professionals are overworked. But HIV still affects thousands of people every year, and tuberculosis (TB) is still the disease that kills the most people. It's not a new drug that's changing the picture now; it's a smarter way to use data that's already stored in hospital computers. 

In the past, HIV and TB programs have relied on clinical studies to determine if medications work. These studies are scientifically sound, but they are also costly, time-consuming, and difficult to execute in places with few resources. African biostatisticians are now offering a useful alternative: using regular health records to help make policy decisions faster and for much less money. 

Tuberculosis preventative therapy, or TPT, is one of the most significant instruments in this fight. This is a cheap and easy treatment that persons with HIV take to keep TB from forming. Studies reveal that TPT can lower the risk of getting active TB by as much as 90%. Malawi has already made a big step by giving TPT to all eligible patients when they start HIV therapy. It was still unclear how effectively this policy performed in the real world, outside of controlled experiments. 

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"Hospitals and clinics in Malawi have a lot of problems, such as not having enough medicine, long wait times, and staff that is too busy." But HIV still affects thousands of people every year. Dr Geoffrey Singini, a member of the Sub-Saharan Africa Consortium for Advanced Biostatistics Training (SSACAB), states, "In the meantime, tuberculosis is the leading cause of death among people living with HIV, especially children and teens." 

Singini and his team looked at electronic medical records from adults and children who started antiretroviral medication between January and March 2023 at 10 busy health institutions in Malawi to find the answer to this question. They didn't start a new experiment; instead, they used data from 1,015 qualified patients, which saved them time and money. 

The researchers used a method known as multivariable logistic regression. In short, this method lets researchers look at many different things at once, including age, geography, or the severity of a disease, to find out which ones really make a difference in the results. "The method wasn't hard, but it worked," Singini says. 

The outcomes were good. About 81% of eligible patients began TPT, and almost three-quarters finished the course. People who finished treatment were far less likely to get TB, which shows that TPT works in the real world, not just in study settings. 

But the statistics also showed several gaps that were concerning. Kids under 10 and teens aged 10 to 19 had the lowest rates of starting therapy. This data is important because kids can get really sick with TB much faster than adults. One reason is practical: the shorter weekly regimen, called 3HP, is only for adults who weigh at least 25 kilogrammes, which means that many smaller youngsters can't use it. Urban clinics, which are usually busier, also had lower initiation rates, probably because they had less time to talk to people. 

The larger message extends beyond Malawi. Many African countries can't afford to do clinical studies very often. Analysing routine health data with trained African professionals is a quicker and cheaper way to protect individuals who are at risk. The Wits School of Public Health leads SSACAB's objective to establish local expertise that ministries of health may employ right away. This is at the heart of that purpose. 

"The problem today is to keep patients safe from TB during the first year of treatment, when their risk is highest. Singini argues, "But the way forward is realistic and doable." Using research that Africa already has, expanding child-friendly drugs, boosting counselling for teens, relieving the burden on urban clinics, and constantly tracking data in real time could save thousands of lives.