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Good practice Imported

safe+natal — Comadrona-Designed Smartphone Checklist for Maternal Risk Screening in Rural Guatemala

Guatemala · Tecpán · See the Guatemala profile

Evidence: Randomised controlled trial Top 9% 96/100 · Ask Evidence Copilot about this practice

Kaqchikel Maya traditional midwives co-created the pictograms and audio prompts of a low-literacy smartphone app that screens pregnancies for danger signs; a randomized trial found referral rates for high-risk births far higher than usual care.

44 midwives
Traditional birth attendants in trial (2015-2016)
799 pregnancies
Pregnancies followed (2015-2016)
20 per 100 births (median)
High-risk referral rate without app
33 per 100 births (median), p=0.03
High-risk referral rate with app
~40 midwives
Midwife partners using tool (since scaling)
~800 births/year
Births covered annually
safe+natal — Comadrona-Designed Smartphone Checklist for Maternal Risk Screening in Rural Guatemala

Details

Maturity
Scaling
Promoter
Wuqu' Kawoq / Maya Health Alliance & Emory University Co-Design Lab for Health Equity
Period
2011–present (RCT 2015–2016)
Keywords
maternal health, mHealth, indigenous-language technology, midwifery

Context

In Guatemala's western highlands, comadronas — traditional Maya birth attendants — deliver a large share of babies in rural indigenous communities, but historically had no standard tool to flag which pregnancies needed a hospital referral, and low literacy in Spanish made most digital health tools unusable for them.

Activities

Starting in 2011, Wuqu' Kawoq / Maya Health Alliance and Emory University's Co-Design Lab for Health Equity worked directly with comadronas in Tecpán, Chimaltenango, to build safe+natal, a smartphone checklist app; the midwives themselves created the on-screen pictograms, with every prompt carrying audio instructions in Kaqchikel Mayan rather than Spanish.

Results

A cluster-randomized feasibility trial followed 44 traditional birth attendants across 799 pregnancies. Referrals for high-risk pregnancies rose from a median of 20 per 100 births without app access to 33 per 100 births with it (p=0.03); when the comparison group later gained access, their rate rose to a matching 34 per 100, reproducing the effect. Since scaling from 2017, around 40 midwife partners now use the tool across more than 50 communities, covering roughly 800 births a year.

Conclusions

The peer-reviewed evidence covers referral behaviour in a 44-midwife trial; broader program-level claims about falling maternal deaths and rising facility births come from the implementing organisation's own reporting rather than a controlled study, and the lead academic researchers are also affiliated with the NGO, so those figures should be read as promising but not independently audited.

Implementation

Indicative cost
Low (< €50k)
Time to results
Long (> 3 years)
Staffing & skills
Wuqu' Kawoq / Maya Health Alliance, Emory University Co-Design Lab for Health Equity, 44+ trained comadronas

Conditions for success

  • Midwives themselves created the pictograms and iterated the design over repeated rounds
  • Audio instructions in Kaqchikel Mayan rather than Spanish, matching how comadronas actually work

Common failure modes

  • Lead academic researchers are also affiliated with the implementing NGO, limiting independence of broader programme-level claims

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Data sources

Where this practice's information was retrieved from, and when.

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