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Phillips TK, Gomba Y, Mogoba P, Phelanyane F, Anderson K, Chi BH, Clouse K, Davies MA, Euvrard J, Knight L, Myer L, Abrams EJ. Routine Electronic Mother-Infant Data (REMInD): a proof-of-concept Data to Care study to support retention in maternal HIV treatment and infant HIV testing in Cape Town, South Africa. RESEARCH SQUARE 2024:rs.3.rs-5626699. [PMID: 39711541 PMCID: PMC11661380 DOI: 10.21203/rs.3.rs-5626699/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2024]
Abstract
Data to Care (D2C) strategies - using routine data to facilitate identification and linkage back to care of people living with HIV who are not in care - have shown promise in high-income settings but received little attention in lower resourced or vertical HIV transmission prevention (VTP) contexts. In this proof-of-concept study, we monitored existing linked electronic medical records in near real-time to identify key gaps in postpartum VTP steps among 336 mothers living with HIV and their infants in Cape Town, South Africa (recruited March 2021 - April 2022). We attempted to confirm observed gaps through source data systems and telephonic tracing, and facilitated re-engagement in care where needed. There were 302 gaps observed in the routine data; 123 (41%) were false gaps and 179 (59%) were considered probable gaps (133 mother-infant pairs). Overall, 54 mothers (16%) did not link to HIV care within 12 weeks of delivery, 43 mothers (13%) linked to care but had a gap in ART dispensing by nine months postpartum, 25 infants (10%) did not have an HIV test around 10 weeks and 57 (17%) had no HIV test around 6 months of age. Only 100 of the probable gaps (56%) could be confirmed through telephonic tracing and, of those, only 47 were successfully re-linked to care. Mobility and clinic transfer, fear of stigma and employment-related challenges were commonly reported reasons for gaps in VTP steps. This study highlights that linked routine data sources linking mother-infant pairs across health facilities has the potential to streamline tracing efforts; however, implementation is challenging and, even when gaps are identified, re-engagement in care may be difficult. Further research is needed to combine D2C strategies with interventions addressing broader social and structural determinants of health, and to tailor D2C strategies to fit available resources and data sources in low-resource settings.
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Mulaku M, Owino EJ, Ochodo E, Young T. Interventions and implementation considerations for reducing pre-treatment loss to follow-up in adults with pulmonary tuberculosis: A scoping review. F1000Res 2024; 13:1436. [PMID: 39816981 PMCID: PMC11733733 DOI: 10.12688/f1000research.157439.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/12/2024] [Indexed: 01/18/2025] Open
Abstract
Background Tuberculosis (TB) is a leading cause of death worldwide with over 90% of reported cases occurring in low- and middle-income countries (LMICs). Pre-treatment loss to follow-up (PTLFU) is a key contributor to TB mortality and infection transmission. Objectives We performed a scoping review to map available evidence on interventions to reduce PTLFU in adults with pulmonary TB, identify gaps in existing knowledge, and develop a conceptual framework to guide intervention implementation. Methods We searched eight electronic databases up to February 6 2024, medRxiv for pre-prints, and reference lists of included studies. Two review authors independently selected studies and extracted data using a predesigned form. We analysed data descriptively, presented findings in a narrative summary and developed a conceptual framework based on the Practical, Robust Implementation, and Sustainability Model to map the factors for effective intervention implementation. Results We reviewed 1262 records and included 17 studies. Most studies were randomized controlled trials (8/17, 47%). Intervention barriers included stigma and inadequate resources; enablers included mobile phones and TB testing and results on the same day. We identified eight interventions that reduced PTLFU: treatment support groups; mobile notifications; community health workers; integrated HIV/TB services; Xpert MTB/RIF as the initial diagnostic test; computer-aided detection with chest radiography screening; active linkage to care; and multi-component strategies. Conclusion Given the variation of healthcare settings, TB programs should consider contextual factors such as user acceptability, political commitment, resources, and infrastructure before adopting an intervention. Future research should utilize qualitative study designs, be people-centred, and include social and economic factors affecting PTLFU.
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Affiliation(s)
- Mercy Mulaku
- Department of Malaria, Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya
- Faculty of Medicine and Health Sciences, Division of Epidemiology and Biostatistics, Stellenbosch University Centre for Evidence-Based Health Care, Cape Town, South Africa
- Department of Pharmacology, Clinical Pharmacy and Pharmacy Practice, University of Nairobi Faculty of Health Sciences, Nairobi, Kenya
| | - Eddy Johnson Owino
- Department of Malaria, Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya
| | - Eleanor Ochodo
- Department of Malaria, Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya
- Faculty of Medicine and Health Sciences, Division of Epidemiology and Biostatistics, Stellenbosch University Centre for Evidence-Based Health Care, Cape Town, South Africa
| | - Taryn Young
- Faculty of Medicine and Health Sciences, Division of Epidemiology and Biostatistics, Stellenbosch University Centre for Evidence-Based Health Care, Cape Town, South Africa
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Meehan SA, Hesseling AC, von Delft A, Marx FM, Hughes JA, Bock P, Banke-Thomas A, Dunbar R, Phelanyane F, Smith M, Osman M. Association between tuberculosis and pregnancy outcomes: a retrospective cohort study of women in Cape Town, South Africa. BMJ Open 2024; 14:e081209. [PMID: 38326258 PMCID: PMC10860026 DOI: 10.1136/bmjopen-2023-081209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Accepted: 01/26/2024] [Indexed: 02/09/2024] Open
Abstract
BACKGROUND Tuberculosis (TB) remains a leading cause of mortality among women of childbearing age and a significant contributor to maternal mortality. Pregnant women with TB are at high risk of adverse pregnancy outcomes. This study aimed to determine risk factors for an adverse pregnancy outcome among pregnant women diagnosed with TB. METHODS Using TB programmatic data, this retrospective cohort analysis included all women who were routinely diagnosed with TB in the public sector between October 2018 and March 2020 in two health subdistricts of Cape Town, and who were documented to be pregnant during their TB episode. Adverse pregnancy outcome was defined as either a live birth of an infant weighing <2500 g and/or with a gestation period <37 weeks or as stillbirth, miscarriage, termination of pregnancy, maternal or early neonatal death. Demographics, TB and pregnancy characteristics were described by HIV status. Logistic regression was used to determine risk factors for adverse pregnancy outcome. RESULTS Of 248 pregnant women, half (52%) were living with HIV; all were on antiretroviral therapy at the time of their TB diagnosis. Pregnancy outcomes were documented in 215 (87%) women, of whom 74 (34%) had an adverse pregnancy outcome. Being older (35-44 years vs 25-34 years (adjusted OR (aOR): 3.99; 95% CI: 1.37 to 11.57), living with HIV (aOR: 2.72; 95% CI: 0.99 to 4.63), having an unfavourable TB outcome (aOR: 2.29; 95% CI: 1.03 to 5.08) and having presented to antenatal services ≤1 month prior to delivery (aOR: 10.57; 95% CI: 4.01 to 27.89) were associated with higher odds of an adverse pregnancy outcome. CONCLUSIONS Pregnancy outcomes among women with TB were poor, irrespective of HIV status. Pregnant women with TB are a complex population who need additional support prior to, during and after TB treatment to improve TB treatment and pregnancy outcomes. Pregnancy status should be considered for inclusion in TB registries.
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Affiliation(s)
- Sue-Ann Meehan
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Anneke C Hesseling
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Arne von Delft
- Centre for Infectious Disease Epidemiology and Research (CIDER), School of Public Health and Family Medicine, Faculty of Health Sciences, University of Cape Town, Observatory, South Africa
- Health Intelligence Directorate, Department of Health and Wellness, Western Cape Department of Health, Cape Town, South Africa
| | - Florian M Marx
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- Division of Infectious Disease and Tropical Medicine, Centre for Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany
| | - Jennifer A Hughes
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Peter Bock
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Aduragbemi Banke-Thomas
- School of Human Sciences, Faculty of Education, Health and Human Sciences, University of Greenwich, London, UK
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Rory Dunbar
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Florence Phelanyane
- Centre for Infectious Disease Epidemiology and Research (CIDER), School of Public Health and Family Medicine, Faculty of Health Sciences, University of Cape Town, Observatory, South Africa
- Health Intelligence Directorate, Department of Health and Wellness, Western Cape Department of Health, Cape Town, South Africa
| | - Mariette Smith
- Centre for Infectious Disease Epidemiology and Research (CIDER), School of Public Health and Family Medicine, Faculty of Health Sciences, University of Cape Town, Observatory, South Africa
- Health Intelligence Directorate, Department of Health and Wellness, Western Cape Department of Health, Cape Town, South Africa
| | - Muhammad Osman
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- School of Human Sciences, Faculty of Education, Health and Human Sciences, University of Greenwich, London, UK
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