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Data quality and associations over 4 years of use of WHO's Clinical Registry - Trauma Module, in Rwanda

A four-year retrospective analysis of the WHO Clinical Registry Trauma Module in Rwanda reveals that while the system captured over 13,000 cases, data quality remained highly variable with significant missingness, ultimately collapsing to 100% when external funding ceased, highlighting the critical dependence of data collection in low-resource settings on sustained financial and training support.

Original authors: Welgama, I. P., Ntezimana, J. N., Bagahirwa, I., Umuhoza, V., Iradukunda, F., Lange, D., Ghalichi, L., Jayaraman, S., Chu, K., Nishimwe, A., Sheferaw, E. D., Faustin, N., Byiringiro, J. C., Davies, J.

Published 2026-01-25
📖 4 min read☕ Coffee break read

Original authors: Welgama, I. P., Ntezimana, J. N., Bagahirwa, I., Umuhoza, V., Iradukunda, F., Lange, D., Ghalichi, L., Jayaraman, S., Chu, K., Nishimwe, A., Sheferaw, E. D., Faustin, N., Byiringiro, J. C., Davies, J.

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). ⚕️ This is an AI-generated explanation of a preprint that has not been peer-reviewed. It is not medical advice. Do not make health decisions based on this content. Read full disclaimer

Imagine a group of doctors in Rwanda trying to keep a giant, digital "scorebook" for every car crash, fall, or injury that happens in six of their hospitals. This scorebook is called the Trauma Module, and it's like a very detailed checklist created by the World Health Organization. The goal is to write down exactly what happened to a patient, how they were treated, and what happened to them afterward, so the doctors can learn how to do a better job next time.

This paper is like a report card on how well this scorebook was actually kept over four years (2019 to 2023). Here is the story of what they found, using simple comparisons:

1. The "Paycheck" Problem (Funding)

Think of the data collectors (the people filling out the scorebook) as gardeners. For the first few years, they had a steady paycheck from a donor (the US National Institutes of Health). As long as they had that paycheck, the garden was tended to, and flowers (data) were growing.

  • The Result: When the money ran out in late 2022, the gardeners stopped watering the plants. By early 2023, the garden was completely dry. The paper shows that when the funding stopped, the number of injuries recorded dropped to almost zero. It's like a factory shutting down the moment the electricity bill isn't paid.

2. The "Training" Boost

The paper also looked at what happened when the gardeners got a refresher course. Every time the team held a formal training session (like a workshop to remind everyone how to fill out the forms), there was a quick spike in the number of injuries recorded.

  • The Analogy: It's like a coach blowing a whistle and reminding the players of the rules. For a short while, everyone plays perfectly. But once the coach leaves and no one is watching, the players tend to forget the rules again, and the number of recorded injuries drops back down.

3. The "Missing Pages" Problem (Data Quality)

Even when the scorebook was being filled out, it wasn't perfect. The researchers found that the book was full of holes.

  • Case Missingness (The Empty Slots): Imagine a hospital sees 100 injured people, but the scorebook only has entries for 40 of them. That means 60% of the "pages" are missing entirely. In some years, they were missing nearly two-thirds of the patients.
  • Variable Missingness (The Blank Lines): Even for the patients who were in the book, many lines were left blank. Imagine a form that asks for "Name, Age, Injury Type, and Treatment." If the doctor writes the name and injury but forgets the age and treatment, that's a "variable missing."
    • On average, about 40% of the lines on the forms were left blank.
    • Some sections were almost totally empty. For example, the section about what happened to the patient after they left the emergency room (like "In-ward Care") was missing data 77% of the time. It's like writing a story but forgetting to write the ending.

4. The "Two Different Books" Confusion

The doctors in Rwanda were using two different systems to count injuries:

  1. The Trauma Module: The special, detailed scorebook for injuries.
  2. The HMIS: The hospital's general computer system for all patients.

The researchers tried to compare these two books to see how many injuries were missed. They found that the Trauma Module was missing a huge chunk of the patients that the general system knew about. In some cases, the numbers were so mismatched that it looked like the Trauma Module was recording more patients than the general system (which the authors explain was likely due to technical glitches in the general system, not magic).

The Bottom Line

The paper concludes that while Rwanda tried hard to keep this injury scorebook running, it was very fragile.

  • It relied on outside money: When the money stopped, the data stopped.
  • It relied on reminders: When training stopped, the quality of the data got worse.
  • It was incomplete: Even with money and training, a lot of information was still missing or blank.

The authors say that just having the system isn't enough; you need continuous support and funding to make sure the "scorebook" is actually useful for saving lives. Without that, the data is like a map with half the roads erased—you can't navigate safely if you don't know the whole picture.

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