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1.
Sex Transm Dis ; 49(4): 257-261, 2022 04 01.
Artigo em Inglês | MEDLINE | ID: mdl-34813578

RESUMO

BACKGROUND: Approximately 20% of chlamydia (CT) and gonorrhea (GC) cases in Louisiana are diagnosed at Parish Health Units. Patient notification of CT and GC test results involves nurses' phone calls and letters to positive patients, which is time-consuming and inefficient. METHODS: In December 2018, electronic results notification was implemented in Caddo Parish Health Unit using Chexout software to notify enrolled patients via text or email when test results are ready to view in a patient portal. We compared the timeliness of GC/CT results notification and treatment pre-Chexout (December 2017 to November 2018) and post-Chexout (December 2018 to November 2019) implementation. A random sample of patients was interviewed to assess acceptability. RESULTS: During December 2018 to November 2019, 5432 patients were tested for CT/GC, 3924 (72%) enrolled in Chexout, and notifications were sent to 3884 (99%). Among CT-positives, 472 of 568 (83%) viewed results in the portal compared with 2451 of 3356 (73%) CT-negatives. Among GC-positives, 300 of 353 (85%) viewed results compared with 2657 of 3571 (74%) GC-negatives. Treatment success for CT improved from 493 of 670 (74%) to 506 of 568 (89%), and for GC, from 332 of 409 (81%) to 325 of 353 (92%). Mean time to treatment decreased for CT (13.4-10.7 days) and GC (11.3-9.2 days). Enrolled patients found Chexout notification satisfactory in 168 of 169 (99%) and easy to use in 130 of 141 (92%). Reasons for declining electronic notification included lack of personal cell phone for 55 of 86 (64%) and confidentiality concerns for 42 of 86 (49%). CONCLUSIONS: Electronic messaging decreased time to notification and increased treatment success. Nurses spent less time notifying patients leaving more time for patient care.


Assuntos
Infecções por Chlamydia , Chlamydia , Gonorreia , Infecções por Chlamydia/diagnóstico , Infecções por Chlamydia/tratamento farmacológico , Infecções por Chlamydia/epidemiologia , Eletrônica , Gonorreia/diagnóstico , Gonorreia/tratamento farmacológico , Gonorreia/epidemiologia , Humanos , Satisfação do Paciente
2.
Sex Transm Dis ; 41(9): 560-3, 2014 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-25118972

RESUMO

BACKGROUND: Congenital syphilis (CS) is a potentially life-threatening yet preventable infection. State and local public health jurisdictions conduct investigations of possible CS cases to determine case status and to inform public health prevention efforts. These investigations occur when jurisdictions receive positive syphilis test results from pregnant women or from infants. METHODS: We extracted data from Louisiana's electronic case management system for 328 infants investigated as possible CS cases in 2010 to 2011. Using date stamps from the case management system, we described CS investigations in terms of processes and timing. RESULTS: Eighty-seven investigations were prompted by positive test results from women who were known to be pregnant by the health jurisdiction, and 241 investigations were prompted by positive syphilis test results from infants. Overall, investigations required a median of 101 days to complete, although 25% were complete within 36 days. Investigations prompted by positive test results from infants required a median of 135 days to complete, and those prompted by positive test results from pregnant women required a median of 41 days. CONCLUSIONS: Three times as many CS investigations began with reported positive syphilis test results from infants as from pregnant women, and these investigations required more time to complete. When CS investigations begin after an infant's birth, the opportunity to ensure that women are treated during pregnancy is missed, and surveillance data cannot inform prevention efforts on a timely basis. Consistently ascertaining pregnancy status among women whose positive syphilis test results are reported to public health jurisdictions could help to assure timely CS prevention efforts.


Assuntos
Complicações Infecciosas na Gravidez/diagnóstico , Diagnóstico Pré-Natal/métodos , Avaliação de Processos em Cuidados de Saúde , Saúde Pública , Sífilis Congênita/diagnóstico , Adulto , Feminino , Humanos , Lactente , Recém-Nascido , Louisiana/epidemiologia , Masculino , Sistemas Automatizados de Assistência Junto ao Leito , Vigilância da População , Gravidez , Complicações Infecciosas na Gravidez/epidemiologia , Complicações Infecciosas na Gravidez/prevenção & controle , Sífilis Congênita/epidemiologia , Sífilis Congênita/prevenção & controle , Estados Unidos/epidemiologia
3.
Sex Transm Dis ; 40(9): 695-9, 2013 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-23949584

RESUMO

BACKGROUND: Congenital syphilis is a serious, preventable, and nationally notifiable disease. Despite the existence of a surveillance case definition, congenital syphilis is sometimes classified differently using an algorithm on the Centers for Disease Control and Prevention's case reporting form. METHODS: We reviewed Louisiana's congenital syphilis electronic reporting system for investigations of infants born from January 2010 to October 2011, abstracted data required for classification, and applied the surveillance definition and the algorithm. We calculated the sensitivities and specificities of the algorithm and Louisiana's classification using the surveillance definition as the surveillance gold standard. RESULTS: Among 349 congenital syphilis investigations, the surveillance definition identified 62 cases. The algorithm had a sensitivity of 91.9% and a specificity of 64.1%. Louisiana's classification had a sensitivity of 50% and a specificity of 91.3% compared with the surveillance definition. CONCLUSIONS: The differences between the algorithm and the surveillance definition led to misclassification of congenital syphilis cases. The algorithm should match the surveillance definition. Other state and local health departments should assure that their reported cases meet the surveillance definition.


Assuntos
Vigilância da População/métodos , Sífilis Congênita/classificação , Algoritmos , Centers for Disease Control and Prevention, U.S. , Humanos , Lactente , Louisiana , Sensibilidade e Especificidade , Estados Unidos
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