Table 3.
Distribution of studies regarding monitoring and evaluating syphilis policies.
| Authors | Year | Monitoring and evaluating? |
|---|---|---|
| Taylor et al. (11) | 2017 | No |
| Leichliter et al. (12) | 2017 | No |
| Chemtob et al. (13) | 2017 | Epidemiologic and health policy data on STIs were analyzed from various sources |
| Rodrigues and Domingues (14) | 2017 | No |
| WHO (15) | 2017 | No |
| Akhtar and Rehman (16) | 2018 | No |
| Ong et al. (17) | 2018 | No |
| Leal et al. (18) | 2018 | Analyzed indicators of antenatal and labor and delivery care and maternal and infant health |
| Kroeger et al. (19) | 2018 | No |
| Andrade et al. (20) | 2020 | Chi-square tests were used to compare the proportions of adolescents and adults with a record of these procedures in the prenatal cards |
| Acharya et al. (21) | 2020 | Used data from the most recent nationally representative Nepal Health Facility Survey (NHFS) 2015 |
| Liu et al. (22) | 2020 | No |
| Kimball et al. (23) | 2020 | No |
| Herrero et al. (24) | 2020 | No |
| Priamo et al. (25) | 2020 | No |
| Andrade et al. (26) | 2020 | Time series of Congenital Syphilis hospitalizations before and after the implementation of the “No Syphilis” Project in the Priority municipalities for the project and in other municipalities |
| WHO (27) | 2020 | Methods of pre-validation assessment included reviews of forms and registries used to record information at a facility level on ANC uptake, HIV and syphilis testing and treatment in pregnant women, HIV and syphilis case reporting in pregnant women and children, and reporting on infants and children exposed to these infections |
| Sykes et al. (28) | 2021 | Used surveillance data from January 1, 2017, through June 30, 2018, from three sources |
| Pinto et al. (29) | 2021 | Scrutinized seven data sources from different perspectives to assess a health campaign launched in Brazil named “Syphilis No!”. Developed a multidimensional analysis framework and implemented an information system to process the data from a time series perspective, and assessed the effects over time, both before and after the campaign. Analyzed data related to the campaign, including e-news, search engine activity, online courses, serological tests, medication distribution and case notification rates |
| PAHO (30) | 2021 | The model was calibrated to national data on syphilis prevalence, adult and congenital syphilis case notifications, risk behaviors, intervention coverage, test and condom procurement, and distribution volumes, and service delivery costs from routine surveillance, surveys, research studies, and program records |
| Zorilla et al. (31) | 2021 | Epidemiological data from Puerto Rico was used to document the elimination of MTCT and Syphilis. Data to calculate the indicators was obtained from the various divisions of the Puerto Rico Department of Health, including vital statistics, surveillance data, and programmatic outcomes |
| Du et al. (32) | 2022 | No |
| Tang et al. (33) | 2022 | Interrupted time series analysis was conducted to compare changes in slope and level of CS notification rate from 2005 to 2020 in Guangdong Province and its three regions with different economic developmental levels. The ARIMA model was established to predict the new CS case number of Guangdong Province in 2021 |
Source: Prepared by the authors (2022).