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1.
PLOS Glob Public Health ; 4(2): e0002437, 2024.
Artículo en Inglés | MEDLINE | ID: mdl-38381760

RESUMEN

Loss-to-follow-up (LTFU) in the era of test-and-treat remains a universal challenge, especially in rural areas. To mitigate LTFU, the HIV program in Neno District, Malawi, utilizes a preventive default tracking strategy named Tracking for Retention and Client Enrollment (TRACE). We utilized a mixed-methods descriptive study of the TRACE program on patient's re-engagement and retention in care (RiC). In the quantitative arm, we utilized secondary data of HIV-infected patients in the TRACE program from January 2018 to June 2019 and analyzed patients' outcomes at 6-, 12-, and 24-months post-tracking. In the qualitative arm, we analyzed primary data from 25 semi-structured interviews. For the study period, 1028 patients were eligible with median age was 30 years, and 52% were women. We found that after tracking, 982 (96%) of patients with a 6-week missed appointment returned to care. After returning to care, 906 (88%), 864 (84%), and 839 (82%) were retained in care respectively at 6-,12-, and 24-months. In the multivariate analysis, which included all the covariates from the univariate analysis (including gender, BMI, age, and the timing of ART initiation), the results showed that RiC at 6 months was linked to WHO stage IV at the start of treatment (with an adjusted odds ratio (aOR) of 0.18; 95% confidence interval (CI) of 0.06-0.54) and commencing ART after the test-and-treat recommendation (aOR of 0.08; 95% CI: 0.06-0.18). RiC after 12 months was associated with age between 15 and 29 years (aOR = 0.18; 95%CI: 0.03-0.88), WHO stage IV (aOR = 0.12; 95%CI: 0.04-0.16) and initiating ART after test-and-treat recommendations (aOR = 0.08; 95%CI: 0.04-0.16). RiC at 24 months post-tracking was associated with being male (aOR = 0.61; 95%CI: 0.40-0.92) and initiating ART after test-and-treat recommendations (aOR = 0.16; 95%CI:0.10-0.25). The qualitative analysis revealed that clarity of the visit's purpose, TRACE's caring approach changed patient's mindset, enhanced sense of responsibility and motivated patients to resume care. We recommend integrating tracking programs in HIV care as it led to increase patient follow up and patient behavior change.

2.
Nature ; 618(7965): 575-582, 2023 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-37258664

RESUMEN

Poverty is an important social determinant of health that is associated with increased risk of death1-5. Cash transfer programmes provide non-contributory monetary transfers to individuals or households, with or without behavioural conditions such as children's school attendance6,7. Over recent decades, cash transfer programmes have emerged as central components of poverty reduction strategies of many governments in low- and middle-income countries6,7. The effects of these programmes on adult and child mortality rates remains an important gap in the literature, however, with existing evidence limited to a few specific conditional cash transfer programmes, primarily in Latin America8-14. Here we evaluated the effects of large-scale, government-led cash transfer programmes on all-cause adult and child mortality using individual-level longitudinal mortality datasets from many low- and middle-income countries. We found that cash transfer programmes were associated with significant reductions in mortality among children under five years of age and women. Secondary heterogeneity analyses suggested similar effects for conditional and unconditional programmes, and larger effects for programmes that covered a larger share of the population and provided larger transfer amounts, and in countries with lower health expenditures, lower baseline life expectancy, and higher perceived regulatory quality. Our findings support the use of anti-poverty programmes such as cash transfers, which many countries have introduced or expanded during the COVID-19 pandemic, to improve population health.


Asunto(s)
Mortalidad del Niño , Países en Desarrollo , Mortalidad , Pobreza , Adulto , Preescolar , Femenino , Humanos , Mortalidad del Niño/tendencias , COVID-19/economía , COVID-19/epidemiología , Países en Desarrollo/economía , Pobreza/economía , Pobreza/prevención & control , Pobreza/estadística & datos numéricos , Esperanza de Vida , Gastos en Salud/estadística & datos numéricos , Salud Pública/métodos , Salud Pública/estadística & datos numéricos , Salud Pública/tendencias , Mortalidad/tendencias
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