Developing an anaemia prediction app for pregnant women in low‑ and middle‑income countries.
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 infor...
| Publicado en: | British Journal of Midwifery Vol. 33; no. 9; pp. 488 - 497 |
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| Autores principales: | , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Mark Allen Holdings Limited
Sep2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=187534688&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 187534688 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09694900 GHC jtl: British Journal of Midwifery issn: 09694900 maglogo: N pubinfo: dt: Sep2025 vid: 33 iid: 9 pid: 11383 pub: Mark Allen Holdings Limited artinfo: ui: 187534688 187534688 187534688 10.12968/bjom.2024.0090 187534688 ppf: 488 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Developing an anaemia prediction app for pregnant women in low‑ and middle‑income countries. aug: au: Anggraeni, Mekar Dwi Setiawati, Nina Fatoni, Amin affil: Department of Nursing, Faculty of Health Sciences, Universitas Jenderal Soedirman, Indonesia sug: subj: Anemia Diagnosis Early Diagnosis Mobile Applications Expectant Mothers Psychosocial Factors Prenatal Care Low and Middle Income Countries Anemia Complications Instrument Construction Instrument Validation Digital Imaging Self Care Pregnancy Female Human Hemoglobins Focus Groups Conjunctiva Validity Precision Task Performance and Analysis Questionnaires Adult Thematic Analysis Sensitivity and Specificity Descriptive Statistics Data Analysis Software Wilcoxon Rank Sum Test T-Tests Coefficient alpha Confidence Intervals Funding Source Adult: 19-44 years Female ab: 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. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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