How to Find and Read REDLARA Data for Colombian Fertility Clinics

When a Colombian fertility clinic claims a 60% success rate, where does that number come from? Is it audited? Does it mean the same thing as a 60% rate at a US clinic? For patients comparing clinics, REDLARA (Red Latinoamericana de Reproduccion Asistida) is the closest thing to an independent data source for Colombian IVF outcomes. Knowing how to find it, read it and interpret it correctly separates informed patients from patients relying on marketing.

What REDLARA Is

REDLARA is the Latin American Network of Assisted Reproduction, a non-profit organization that collects, audits and publishes IVF cycle outcome data from member clinics across Latin America. Founded in 1990, it is the regional equivalent of ESHRE's European IVF Monitoring (EIM) program. Member clinics submit annual cycle data, which REDLARA compiles into a registry report published with a 1 to 2 year lag.

How to Access REDLARA Data

1. Visit redlara.com and navigate to the "Registro" or "Registry" section.
2. Annual reports are published as downloadable PDFs. Look for "Registro Latinoamericano de Reproduccion Asistida" followed by the reporting year.
3. Data is organized by country, then by institution (some reports anonymize individual clinic data; aggregate country data is always available).
4. The report includes tables showing: cycle counts, clinical pregnancy rates per transfer, live birth rates per transfer (in more recent reports), multiple pregnancy rates and OHSS rates.

Reading the Data: What the Numbers Mean

REDLARA reports several outcome metrics. Not all mean what patients assume:

Comparing Colombian Clinics to Regional and US Benchmarks

Colombia's aggregate clinical pregnancy rate per transfer is competitive with other major fertility tourism destinations and within 5 percentage points of the US average. However, aggregate averages mask significant variation between individual clinics. A top-performing Colombian clinic may match or exceed US averages, while a below-average one may trail by 10+ points.

What REDLARA Does Not Tell You

Understanding the limitations of REDLARA data prevents over-reliance on it:

• Patient selection bias: A clinic that takes only easy cases (young patients, good ovarian reserve) will have higher success rates than one that accepts difficult cases. REDLARA data does not fully adjust for patient mix.
• Cycle cancellation rates: If a clinic cancels cycles aggressively (only proceeding with optimal-looking cycles), the per-transfer rate looks better because the denominator excludes cancelled cycles.
• Embryo transfer number: A clinic transferring 3 embryos will have a higher pregnancy rate per transfer than one transferring 1, but at the cost of dangerous multiple pregnancies. Always check the multiple pregnancy rate alongside the pregnancy rate.
• Donor vs own-egg cycles: Donor egg cycles have inherently higher success rates. A clinic with a large donor program may have inflated aggregate rates. Compare own-egg rates separately.
• Data lag: The most recent REDLARA report publishes data from 1 to 2 years ago. Clinic quality, staffing and lab performance can change.

Beyond REDLARA: Other Verification Steps

Use REDLARA data as one input, not the only one. Cross-reference with:

• REPS registration: Confirms the clinic is legally habilitado for reproductive medicine services.
• Direct request for clinic-specific data: Ask the clinic for their own internal outcome data for your age group and diagnosis. Compare their self-reported numbers to what REDLARA shows.
• Patient references: Ask to speak with former international patients. Their experience (responsiveness, communication quality, transparency about setbacks) tells you things data cannot.