| Sumario: | Background/Aims: Early detection of anaemia is vital in preventing complications among pregnant women. This study aimed to develop and validate an anaemia prediction method based on digital images captured with a smartphone application. Methods: This study created the Denia app, which provided information on anaemia for pregnant women and assessed haemoglobin concentration. The content was developed using focus group discussions with 14 nurse-midwives and 15 pregnant women. Content was validated by a panel of three experts. The app was tested with 82 pregnant women, whose haemoglobin concentrations and pictures of palpebral conjunctiva were taken. Several parameters of the app's use were examined: linearity, detection and quantification limits, accuracy, precision, range of analytical method and self-detection trial results. Results: The app met the content validity index consensus (>0.80) and could predict anaemia among participants with high accuracy and precision. No difference was observed between haemoglobin concentrations obtained using the app and those obtained using a commercial test kit. Conclusions: The app demonstrated great analytical performance in predicting anaemia. Implications for practice: Pregnant women may use the Denia app to easily detect anaemia early in pregnancy using a smartphone.
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