The Tommy’s Clinical Decision Tool, a device for reducing the clinical impact of placental dysfunction and preterm birth: protocol for a mixed-methods early implementation evaluation study

[1] Jardine J(2021)Adverse pregnancy outcomes attributable to socioeconomic and ethnic inequalities in England: a national cohort study Lancet 398 1905-1912

[2] Walker K(2018)Aspirin for the prevention of preterm and term preeclampsia: systematic review and metaanalysis Am J Obstet Gynecol 218 287-293

[3] Gurol-Urganci I(2017)Evaluating progestogens for prevention of preterm birth international collaborative (EPPPIC) individual participant data (IPD) meta-analysis: protocol Syst Rev 6 1-7

[4] Webster K(2021)Implementation of routine first trimester combined screening for pre-eclampsia: a clinical effectiveness study BJOG 128 149-56

[5] Muller P(2011)Prediction of spontaneous preterm delivery from maternal factors, obstetric history and placental perfusion and function at 11–13 weeks Prenat Diagn 31 75-83

[6] Hawdon J(2020)Development and validation of predictive models for QUiPP App v. 2: tool for predicting preterm birth in women with symptoms of threatened preterm labor Ultrasound Obstet Gynecol 55 357-67

[7] Roberge S(2018)Strengthening delivery of health services using digital devices Glob Health Sci Pract 6 S61-71

[8] Bujold E(2018)Prediction models for the risk of spontaneous preterm birth based on maternal characteristics: a systematic review and independent external validation Acta Obstet Gynecol Scand 97 907-20

[9] Nicolaides KH(2019)External validation and clinical usefulness of first trimester prediction models for the risk of preeclampsia: a prospective cohort study Fetal Diagn Ther 45 381-393

[10] Stewart LA(2018)Comparison of diagnostic accuracy of early screening for pre-eclampsia by NICE guidelines and a method combining maternal factors and biomarkers: results of SPREE Ultrasound Obstet Gynecol 51 743-50

[1] Jardine J(2021)Adverse pregnancy outcomes attributable to socioeconomic and ethnic inequalities in England: a national cohort study Lancet 398 1905-1912

[2] Walker K(2018)Aspirin for the prevention of preterm and term preeclampsia: systematic review and metaanalysis Am J Obstet Gynecol 218 287-293

[3] Gurol-Urganci I(2017)Evaluating progestogens for prevention of preterm birth international collaborative (EPPPIC) individual participant data (IPD) meta-analysis: protocol Syst Rev 6 1-7

[4] Webster K(2021)Implementation of routine first trimester combined screening for pre-eclampsia: a clinical effectiveness study BJOG 128 149-56

[5] Muller P(2011)Prediction of spontaneous preterm delivery from maternal factors, obstetric history and placental perfusion and function at 11–13 weeks Prenat Diagn 31 75-83

[6] Hawdon J(2020)Development and validation of predictive models for QUiPP App v. 2: tool for predicting preterm birth in women with symptoms of threatened preterm labor Ultrasound Obstet Gynecol 55 357-67

[7] Roberge S(2018)Strengthening delivery of health services using digital devices Glob Health Sci Pract 6 S61-71

[8] Bujold E(2018)Prediction models for the risk of spontaneous preterm birth based on maternal characteristics: a systematic review and independent external validation Acta Obstet Gynecol Scand 97 907-20

[9] Nicolaides KH(2019)External validation and clinical usefulness of first trimester prediction models for the risk of preeclampsia: a prospective cohort study Fetal Diagn Ther 45 381-393

[10] Stewart LA(2018)Comparison of diagnostic accuracy of early screening for pre-eclampsia by NICE guidelines and a method combining maternal factors and biomarkers: results of SPREE Ultrasound Obstet Gynecol 51 743-50