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Background: The family planning service requires a routine health information system (RHIS) that can produce quality data that will be used for making decisions. However, the quality of data generated is not always of a good standard. Its usefulness in making data-driven decisions in family planning service is questionable. Aim: The study intended to assess the quality of family planning data and determine healthcare providers' (HCPs') views on factors influencing data quality in Tshwane district. Setting: The study was carried out in 13 healthcare institutions in Tshwane district, Gauteng province, South Africa. Methods: This paper reports on the quantitative strand of a mixed methods study. A sample of 111 HCPs was selected through a stratified random sampling technique, and six months of monthly reports from 13 institutions were reviewed for data quality. A self-administered questionnaire and a tick sheet were utilised to collect data from the HCPs and to review monthly reports for data quality, respectively. The Statistical Package for the Social Sciences (SPSS) programme for Windows version 24.0.0 was used to analyse the data. Results: Data quality, mainly accuracy and timeliness, was a challenge. Many HCPs were not trained in the RHIS. They viewed several issues relating to organisational, behavioural and technical factors as barriers to data quality. Conclusion: The low quality of family planning data has a negative impact on policy development and decision-making. [ABSTRACT FROM AUTHOR]

Background: The coronavirus disease 2019 (COVID-19) has highlighted the scope of heroin dependence and need for evidence-based treatment amongst marginalised people in South Africa. Acute opioid withdrawal management without maintenance therapy carries risks of increased morbidity and mortality. Due to the high costs of methadone, Tshwane's Community Oriented Substance Use Programme (COSUP) used tramadol for opioid withdrawal management during the initial COVID-19 response. Aim: To describe demographics, route of heroin administration and medication-related experiences amongst people accessing tramadol for treatment of opioid withdrawal. Setting: Three community-based COSUP sites in Mamelodi (Tshwane, South Africa). Methods: A retrospective cross-sectional study was conducted. Data were collected using an interviewer-administered paper-based tool between April and August 2020. Descriptive statistics were used to analyse data. Results: Of the 220 service users initiated onto tramadol, almost half (n = 104, 47%) were not contactable. Fifty-eight (26%) people participated, amongst whom most were male (n = 55, 95%). Participants' median age was 32 years. Most participants injected heroin (n = 36, 62.1%). Most participants experienced at least one side effect (n = 47, 81%) with 37 (64%) experiencing two or more side effects from tramadol. Insomnia occurred most frequently (n = 26, 45%). One person without a history of seizures experienced a seizure. Opioid withdrawal symptoms were experienced by 54 participants (93%) whilst taking tramadol. Over half (n = 38, 66%) reported using less heroin whilst on tramadol. Conclusion: Tramadol reduced heroin use but was associated with withdrawal symptoms and unfavourable side effects. Findings point to the limitations of tramadol as opioid withdrawal management to retain people in care and the importance of access to first-line opioid agonists. [ABSTRACT FROM AUTHOR]