Almost
thirty per cent of patients who started antiretroviral treatment in eight South
African public sector programmes were lost to follow-up within three years, according
to a cohort analysis published in the online edition of the journal AIDS.
LTFU
accounted for an increasing proportion of overall programme attrition: from 9%
at six months to 29% at 3 years on antiretroviral treatment.
The study
was conducted by researchers from the International Epidemiologic Databases to
Evaluate AIDS collaboration of South
Africa (IeDEA-SA).
South Africa has the largest antiretroviral
programme in the world. From 2004 when the public programme began until 2007 an
estimated 370,000 people started treatment. Yet no data on programme outcomes
exist at the national level. As in other resource-poor setting there is little
evidence about trends over time – mortality, loss-to-follow-up and retention.
Recently
revised WHO treatment guidelines as well as South African national guidelines
raise the concern of how the anticipated expansion of services will be met while
keeping large numbers of patients in care. The time trend reported by the IeDEA-SA
researchers suggests that increasing loss to follow-up will come with further
expansion.
The increased
demands will require a strengthened health care system capable of dealing with
chronic disease, the researchers note. In most resource-poor countries the
system is set up to deal with acute care and episodic illnesses. Keeping
patients in care is a measure of a programme’s success.
LTFU is not
a new phenomenon. However, a better understanding of LTFU at the national as
well as at the programme level is key to successfully re-directing health systems toward long-term chronic care
management, they add.
The IeDEA
researchers reported a declining trend in mortality rates over time. This may
be a true decline, but the possibility of an association between programme expansion
and an increasing inability to determine mortality correctly is likely, they
note. Increasing numbers of LTFU may lead to an underestimate of mortality.
The
researchers stress the urgent need for linkage to death registries and where
they do not exist, their establishment in low- and middle-income countries.
However,
they note it is the size and pace of scale-up in South Africa that is responsible
for high rate of loss to follow-up (LTFU).
Enrolment
has increased 12-fold over a five year period with a cumulative total of
44,000; 63% of whom enrolled in the last two years. The twelve month LTFU rate increased
annually from 1% in 2002/2003 to 13% in 2006.
The longer
the time on antiretroviral treatment, the greater the proportion of the overall
programme loss was due to LTFU: from 9% at six months to 29% at 36 months on
antiretroviral treatment.
Such rapid
increases in numbers placed additional burdens on an already overburdened
system.
Monitoring
and retention of patients in care was severely handicapped; capturing and
accurately reporting data was problematic. Increasing numbers of LTFU could be
because of death, lost to care, administrative error or inadequate patient
monitoring systems, the researchers note.
The
distinction between those LTFU due to administrative error and those truly lost
to care needs to be made. Those truly lost to care, the authors note, are more
likely to be non-adherent and at higher risk of death. A further consequence is
the development of drug resistance, which then hinders programme success.
The
researchers conclude that there is a need for further research at both the
programme and national levels to understand LTFU adding that “Innovative,
effective strategies are needed to follow and retain patients in large HIV
treatment programmes while rapidly expanding access to antiretroviral services
(in low- and middle-income countries).”
At the
programme level, in spite of good early outcomes, adherence levels are also declining
along with an increase in poorer treatment outcomes.
In an
observational cohort study, of two well-established antiretroviral programmes in
South Africa, one in the community and the other in the workplace, Mison Dahab
and colleagues found that poor treatment outcomes (viral load above 400
copies/ml or having stopped treatment within the first six months) were more
common in the well-resourced workplace programme (40% compared to 17%).
The study
was designed to identify baseline factors predictive of poor treatment
outcomes. Knowledge of these factors would help providers address these issues
before starting patients on antiretroviral treatment, so improving adherence
and retention in care and treatment outcomes. Yet little evidence exists about
which baseline factors might be predictive of poor outcomes.
The researchers
found that baseline predictive factors were unique to each programme. While
excessive drinking and having seen a traditional healer was associated with
poorer outcomes in the community, being male and knowing someone on
antiretroviral treatment showed better outcomes. Poorer outcomes in the
workplace were associated with being uncertain about the benefits of ART and a
traditional healer’s ability to treat HIV (aOR 7.53, 95% CI: 2.02-27.98; aOR
4.40, 95% CI: 1.41-13.75, respectively).
Barriers to
remaining on treatment and in care were primarily structural in the community
setting. Testing and getting into care were more likely to be self-motivated compared
to the workplace setting where provider-initiated testing and counselling
(PITC) was the entry point. This would suggest, according to the researchers,
that where PITC is available there is a need for additional adherence
support.
Additionally
in the workplace a longer time between diagnosis and starting antiretroviral
treatment was associated with better outcomes (2-12 weeks compared to under two
weeks (aOR 0.13, 95% CI:0.03-0.56)). This highlights, they note, the challenges
of providing adequate antiretroviral counselling support before starting
treatment when the need to start ART is immediate.
References
Cornell M
et al. Temporal changes in programme
outcomes among adult patients initiating antiretroviral therapy across South
Africa, 2002-2007. Advance online edition AIDS, August 19, 2010.
doi:10.1097/QAD.0b013e32833d45c5
Dahab M et
al. Contrasting predictors of poor
antiretroviral therapy outcomes in South African HIV programmes: a cohort
study. BMC Public Health 10:430, 2010. doi: 10.1186/1471-2458-10-430
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