Literature DB >> 28150466

Who will be lost? Identifying patients at risk of loss to follow-up in Malawi. The DREAM Program Experience.

S Mancinelli1, K Nielsen-Saines2, P Germano3, G Guidotti3, E Buonomo1, P Scarcella1, R Lunghi4, H Sangare4, S Orlando3, G Liotta1, M C Marazzi5, L Palombi1.   

Abstract

OBJECTIVES: Retention of subjects in HIV treatment programmes is crucial for the success of treatment. We evaluated retention/loss to follow-up (LTFU) in subjects receiving established care in Malawi.
METHODS: Data for HIV-positive patients registered in Drug Resource Enhancement Against AIDS and Malnutrition centres in Malawi prior to 2014 were reviewed. Visits entailing HIV testing/counselling, laboratory evaluations, nutritional evaluation/supplementation, community support, peer education, and antiretroviral (ART) monitoring/pharmacy were noted. LTFU was defined as > 90 days without an encounter. Parameters potentially associated with LTFU were explored, with univariate/multivariate logistic regression analyses being performed.
RESULTS: Fifteen thousand and ninety-nine patients registered before 2014; 202 (1.3%) were lost to follow-up (LTFU) (1.3%). Nine (0.5%) of 1744 paediatric patients were LTFU vs. 1.4% (n = 193) of 13 355 adults (P < 0.001). Subjects who were LTFU had fewer days in care than retained subjects (1338 vs. 1544, respectively; P < 0.001) and a longer duration of ART (1530 vs. 1300 days, respectively; P < 0.001). Subjects who were LTFU had higher baseline HIV viral loads (P = 0.016) and higher body mass indexes (P < 0.001), were more likely to live in urban settings (88% of patients who were LTFU lived in urban settings) with better housing [relative risk (RR) 2.3; 95% confidence interval (CI) 1.67-3.09; P < 0.001], and were more likely to be educated (RR 1.88; 95% CI 1.42-2.50; P < 0.001). Distance to the centre and cost of transportation were associated with LTFU (RR 3.4; 95% CI 2.84-5.37; P < 0.001), as was absence of a maternal figure (RR 1.57; 95% CI 1.17-2.09; P < 0.001). Viral load, distance index, education and a maternal figure were predictive of LTFU.
CONCLUSIONS: Educated, urbanized HIV-infected adults living far from programme centres are at high risk of LTFU, particularly if there is no maternal figure in the household. These variables must be taken into consideration when developing retention strategies.
© 2017 British HIV Association.

Entities:  

Keywords:  zzm321990HIVzzm321990; Malawi; loss to follow-up; predictors; retention

Mesh:

Substances:

Year:  2017        PMID: 28150466     DOI: 10.1111/hiv.12492

Source DB:  PubMed          Journal:  HIV Med        ISSN: 1464-2662            Impact factor:   3.180


  8 in total

1.  Long-term loss to follow-up in the TREAT Asia HIV Observational Database (TAHOD).

Authors:  A Jiamsakul; S Kiertiburanakul; O T Ng; R Chaiwarith; W Wong; R Ditangco; K V Nguyen; A Avihingsanon; S Pujari; C D Do; M-P Lee; P S Ly; E Yunihastuti; N Kumarasamy; A Kamarulzaman; J Tanuma; F Zhang; J Y Choi; P Kantipong; Blh Sim; J Ross; M Law; T P Merati
Journal:  HIV Med       Date:  2019-04-12       Impact factor: 3.180

2.  Delayed diagnosis and treatment of tuberculosis in HIV+ patients in Mozambique: A cost-effectiveness analysis of screening protocols based on four symptom screening, smear microscopy, urine LAM test and Xpert MTB/RIF.

Authors:  S Orlando; I Triulzi; F Ciccacci; I Palla; L Palombi; M C Marazzi; M Giuliano; M Floridia; S Mancinelli; E Mutemba; G Turchetti
Journal:  PLoS One       Date:  2018-07-19       Impact factor: 3.240

3.  Factors associated with an interruption in treatment of people living with HIV in USAID-supported states in Nigeria: a retrospective study from 2000-2020.

Authors:  Silviu Tomescu; Thomas Crompton; Jonathan Adebayo; Constance Wose Kinge; Francis Akpan; Marcus Rennick; Charles Chasela; Evans Ondura; Dauda Sulaiman Dauda; Pedro T Pisa
Journal:  BMC Public Health       Date:  2021-11-30       Impact factor: 3.295

4.  Development and validation of a risk prediction model for lost to follow-up among adults on active antiretroviral therapy in Ethiopia: a retrospective follow-up study.

Authors:  Dawit Tefera Fentie; Getahun Molla Kassa; Sofonyas Abebaw Tiruneh; Achenef Asmamaw Muche
Journal:  BMC Infect Dis       Date:  2022-09-07       Impact factor: 3.667

5.  Factors Associated with Retention of HIV Patients on Antiretroviral Therapy in Care: Evidence from Outpatient Clinics in Two Provinces of the Democratic Republic of the Congo (DRC).

Authors:  Gulzar H Shah; Gina D Etheredge; Lievain Maluentesa Nkuta; Kristie C Waterfield; Osaremhen Ikhile; John Ditekemena; Bossiky Ngoy Belly Bernard
Journal:  Trop Med Infect Dis       Date:  2022-09-05

6.  Factors associated with loss-to-follow-up of HIV-positive mothers and their infants enrolled in HIV care clinic: A qualitative study.

Authors:  S Mpinganjira; T Tchereni; A Gunda; V Mwapasa
Journal:  BMC Public Health       Date:  2020-03-06       Impact factor: 3.295

Review 7.  Pandemics and Burden of Stroke and Epilepsy in Sub-Saharan Africa: Experience from a Longstanding Health Programme.

Authors:  Massimo Leone; Fausto Ciccacci; Stefano Orlando; Sandro Petrolati; Giovanni Guidotti; Noorjehan Abdul Majid; Victor Tamba Tolno; JeanBaptiste Sagno; Darlington Thole; Fabio Massimo Corsi; Michelangelo Bartolo; Maria Cristina Marazzi
Journal:  Int J Environ Res Public Health       Date:  2021-03-09       Impact factor: 3.390

8.  The Effect of Partnership Presence and Support on HIV Viral Suppression Among Serodiscordant Partnered and Single Heterosexual HIV-Positive Individuals in Brazil.

Authors:  Zoë Baker; Pamina Gorbach; Marineide Gonçalves de Melo; Ivana Varela; Eduardo Sprinz; Breno Santos; Tauí de Melo Rocha; Mariana Simon; Marcelo Almeida; Rita Lira; Maria Cristina Chaves; Tara Kerin; Karin Nielsen-Saines
Journal:  AIDS Behav       Date:  2021-01-02
  8 in total

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