{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,2]],"date-time":"2026-10-02T07:54:12Z","timestamp":1790927652302,"version":"4.1.0"},"reference-count":63,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2026,8,9]],"date-time":"2026-08-09T00:00:00Z","timestamp":1786233600000},"content-version":"vor","delay-in-days":8,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Health Science Reports"],"published-print":{"date-parts":[[2026,8]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Stillbirth remain a major public health concern, particularly in low\u2010resource settings. Early identification of women at risk can significantly improve neonatal outcomes. This study aimed to Development and Validation of a Clinical Prognostic Risk Score for Stillbirth in Ethiopia: A Cohort Study Using PMA Data.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A predictive model was developed using Performance Monitoring for Action (PMA) data from women. The data were exported to R version 4.4.3 for cleaning and analysis. Fifteen candidate predictors were initially considered and selected using Least Absolute Shrinkage and Selection Operator (LASSO) logistic regression with 10\u2010fold cross\u2010validation. Model performance was evaluated in terms of discrimination (area under the curve [AUC]), calibration, Brier score, and the Spiegelhalter test. Clinical usefulness was assessed using decision curve analysis (DCA). Internal validation was performed using bootstrap resampling. Finally, a simplified risk score and nomogram were developed to facilitate clinical application.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Predictors retained in the final model included prolonged labor, membrane rupture before 9\u2009months, membrane rupture &gt;\u200924\u2009h during delivery, and partner encouragement for ANC. The model demonstrated excellent discrimination (AUC\u2009=\u20090.905) and calibration (optimism\u2010corrected slope = 1.005; Brier score\u2009=\u20090.0072; Spiegelhalter\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20091.00). The simplified risk score (range 0\u201310) showed strong discrimination, with high scores strongly associated with stillbirth (LR 159.7 for scores 9\u201310). Using a cutoff \u2265\u20092, the model achieved 83% sensitivity, 93% specificity, 15% PPV, and 100% NPV.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The four\u2010factor prediction model, along with its simplified risk score and nomogram, accurately identifies pregnancies at high risk of stillbirth in Ethiopian women. By providing individualized risk estimates, the tool can support clinical decision\u2010making and help prioritize interventions for those most at risk. External validation is needed before it can be widely applied in practice.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/hsr2.72992","type":"journal-article","created":{"date-parts":[[2026,8,10]],"date-time":"2026-08-10T03:56:20Z","timestamp":1786334180000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Development and Validation of a Clinical Prognostic Risk Score for Stillbirth in Ethiopia: A Cohort Study Using PMA Data"],"prefix":"10.1002","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-9038-7996","authenticated-orcid":false,"given":"Chalie","family":"Mulugeta","sequence":"first","affiliation":[{"name":"Department of Midwifery, College of Health Science Woldia University Woldia City Ethiopia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-8380-0098","authenticated-orcid":false,"given":"Tadele","family":"Emagneneh","sequence":"additional","affiliation":[{"name":"Department of Midwifery, College of Health Science Woldia University Woldia City Ethiopia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-2502-1133","authenticated-orcid":false,"given":"Belay","family":"Susu","sequence":"additional","affiliation":[{"name":"Department of Midwifery, College of Health Science Woldia University Woldia City Ethiopia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1950-9515","authenticated-orcid":false,"given":"Aynalem","family":"Yetwale","sequence":"additional","affiliation":[{"name":"Department of Midwifery, College of Health Science Woldia University Woldia City 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