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      Recall of lost-to-follow-up pre-antiretroviral therapy patients in the Eastern Cape: effect of mentoring on patient care

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          Abstract

          BACKGROUND: In 2011 an experienced HIV nurse from the UK was deployed for 3 months to act as a mentor to nurses learning to initiate antiretroviral therapy (ART) in primary care clinics in a small town in the Eastern Cape, South Africa. METHODS: A review of existing pre-ART patient files (N=286) was carried out and lost-to-follow-up (LTFU) HIV patients were recalled. RESULTS: Only 24% of patients had attended the clinics within the preceding 6 months and 20% had not attended for longer than 2 years. Two lay counsellors visited 222 patients to encourage them to return to care; 65/286 (23%) were untraceable, 11/286 (4%) had relocated, 30/286 (10%) declined, and 8/286 (3%) had died. In the 6 weeks following recall, 51/286 patients (18%) returned to the clinics. CD4 count testing was repeated and screening for tuberculosis (TB) and other opportunistic infections was performed for all patients; ART was initiated in 13/51 (25%), 1 patient tested positive for TB, and isionazid (INH) prophylaxis was initiated in 23/51 (45%). The cost of recall was R130/patient. Within 6 months, all clinics began providing full ART services, 17 professional nurses were mentored and they initiated ART in 55 patients. CONCLUSIONS: Mentoring plays an important role in professional nurse training and support. Recall of LTFU patients is feasible and effective in improving ART services in rural settings.

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          Early loss to follow up after enrolment in pre-ART care at a large public clinic in Johannesburg, South Africa

          Objective To estimate loss to follow up (LTFU) between initial enrolment and the first scheduled return medical visit of a pre-antiretroviral therapy (ART) care program for patients not eligible for ART. Methods The study was conducted at a public-sector HIV clinic in Johannesburg. We reviewed records of all patients newly enrolled in the pre-ART care program and not yet eligible for ART between January 2007 and February 2008. Crude proportions of patients completing their first return medical visit stratified by patient characteristics were calculated. A modified-Poisson approach was used to estimate directly relative risks of returning for their first return medical visit within 1 year adjusting for patient characteristics as potential confounders. Results A total of 356 patients were identified. Two-thirds had a CD4 count > 350 cells/μl (median [IQR] CD4 = 458 [394, 585]) and were scheduled to return in 6 months for a first medical visit. Seventy-four percent of these patients did not return within one year for this visit. The remaining 36% of all patients had a baseline CD4 count 251–350 cells/μl and were scheduled to return in 3 months. Only 6% of these patients returned within 4 months; 41% returned within one year. Relative risks were positively associated with a patient being employed and negatively associated with the baseline CD4 count. Conclusions Given the high rate of LTFU immediately after enroling in pre-ART care, it is clear that care programs are not expediting the timely initiation of ART. Significantly improved adherence to pre-ART care and monitoring for patients not yet eligible for ART is required for South Africa to achieve its AIDS strategy goals and reduce the problem of late presentation and initiation of ART.
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            Vital status of pre-ART and ART patients defaulting from care in rural Malawi.

            To ascertain the outcome of pre-Antiretroviral therapy (ART) and ART patients defaulting from care and investigate reasons for defaulting. Patients defaulting from HIV care in Chiradzulu between July 2004 and September 2007 were traced at last known home address. Deaths and moves were recorded, and patients found alive were interviewed. Defaulting was defined as missed last appointment by more than 1 month among patients of unknown vital status. A total of 1637 individuals were traced (54%-88% of eligible), 981 pre-ART and 656 ART patients. Of 694 pre-ART patients found, 49% had died (51% of adults and 38% of children), a median of 47 days after defaulting, and 14% had moved away. Of 451 ART patients found, 54% had died (54% of adults and 50% of children), a median of 52 days after defaulting, and 20% had moved away. Overall, 221 patients were interviewed (90% of those found alive), 42% had worked outside the district in the previous year; 49% of pre-ART and 19% of ART patients had not disclosed their HIV status to other household members. Main reasons for defaulting were stigma (43%), care dissatisfaction (34%), improved health (28%) and for ART discontinuation, poor understanding of disease or treatment (56%) and drug side effects (42%). This study in a rural African HIV programme reveals the dynamics related to health service access and use, and it provides information to correct programme mortality estimates for adults and children.
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              Scaling up antiretroviral therapy in South Africa: the impact of speed on survival.

              Only 33% of eligible human immunodeficiency virus (HIV)-infected patients in South Africa receive antiretroviral therapy (ART). We sought to estimate the impact of alternative ART scale-up scenarios on patient outcomes from 2007-2012. Using a simulation model of HIV infection with South African data, we projected HIV-associated mortality with and without effective ART for an adult cohort in need of therapy (2007) and for adults who became eligible for treatment (2008-2012). We compared 5 scale-up scenarios: (1) zero growth, with a total of 100,000 new treatment slots; (2) constant growth, with 600,000; (3) moderate growth, with 2.1 million; (4) rapid growth, with 2.4 million); and (5) full capacity, with 3.2 million. Our projections showed that by 2011, the rapid growth scenario fully met the South African need for ART; by 2012, the moderate scenario met 97% of the need, but the zero and constant growth scenarios met only 28% and 52% of the need, respectively. The latter scenarios resulted in 364,000 and 831,000 people alive and on ART in 2012. From 2007 to 2012, cumulative deaths in South Africa ranged from 2.5 million under the zero growth scenario to 1.2 million under the rapid growth scenario. Alternative ART scale-up scenarios in South Africa will lead to differences in the death rate that amount to more than 1.2 million deaths by 2012. More rapid scale-up remains critically important.
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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Journal
                samj
                SAMJ: South African Medical Journal
                SAMJ, S. Afr. med. j.
                Health and Medical Publishing Group (Cape Town )
                2078-5135
                September 2012
                : 102
                : 9
                : 768-769
                Affiliations
                [1 ] East Sussex Healthcare NHS Trust United Kingdom
                [2 ] Foundation for Professional Development
                [3 ] University of Pretoria South Africa
                Article
                S0256-95742012000900024
                90917f4e-bf42-4c22-922d-14a7fd5e46f4

                http://creativecommons.org/licenses/by/4.0/

                History
                Product

                SciELO South Africa

                Self URI (journal page): http://www.scielo.org.za/scielo.php?script=sci_serial&pid=0256-9574&lng=en
                Categories
                Health Care Sciences & Services
                Health Policy & Services
                Medical Ethics
                Medicine, General & Internal
                Medicine, Legal
                Medicine, Research & Experimental

                Social law,General medicine,Medicine,Internal medicine,Health & Social care,Public health

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