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A Questionnaire Integrated with the Digital Medical Record Improved the Coverage of a Control Program for Congenital Chagas Disease in Tuscany, Italy.

Anna BarbieroMartina MazziAntonia MantellaMichele TrottaGian Maria RossoliniAlberto AntonelliPatrizia BordonaroMaria Grazia ColaoAnna Rosa SpecialeTullio Di BenedettoMariarosaria Di TommasoElisabetta MantengoliFelice PetragliaLuisa GalliMarco PezzatiCarlo DaniMaria José Caldes PinillaCecilia BerniBassam DannaouiPedro Albajar ViñasAlessandro BartoloniLorenzo Zammarchi
Published in: Microorganisms (2023)
The leading route of Chagas disease transmission in nonendemic countries is congenital. However, policies concerning screening, prevention, and management of congenital Chagas disease are rare in these settings. Since 2012, serological screening for Chagas disease should be provided for pregnant women at risk in Tuscany, Italy according to a Regional resolution. Due to difficulties in the implementation, in November 2019, a checklist aimed at identifying pregnant women at risk for Chagas disease was introduced in digital clinical records at Careggi University Hospital, Florence, Italy. In order to evaluate the effectiveness of the "Chagas checklist", data about the number of deliveries by women at risk and their screening coverage between 2012 and June 2022 were collected. Out of 1348 deliveries by women at risk, 626 (47%) Trypanosoma cruzi serology tests were performed during the study period. The annual screening coverage increased from an average of 40.3% between 2012 and 2019 to 75.7% between 2020 and June 2022, underlining the big impact of the checklist. Four Chagas disease serological tests out of 626 (0.6%) resulted positive, corresponding to 2 affected women. No cases of congenital transmission occurred. The study showed that a simple digital tool led to a tangible improvement in the coverage of the screening program; its application in a setting where digital charts are available will contribute to the control and elimination of congenital Chagas disease.
Keyphrases
  • pregnant women
  • pregnancy outcomes
  • polycystic ovary syndrome
  • trypanosoma cruzi
  • primary care
  • affordable care act
  • systematic review
  • public health
  • machine learning
  • skeletal muscle
  • breast cancer risk