Literature DB >> 23319896

Preventing antiretroviral treatment interruptions among HIV/AIDS patients in Africa.

Edward J Mills1, Christine Nabiryo.   

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Year:  2013        PMID: 23319896      PMCID: PMC3539942          DOI: 10.1371/journal.pmed.1001370

Source DB:  PubMed          Journal:  PLoS Med        ISSN: 1549-1277            Impact factor:   11.069


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This Perspective discusses the following new study published in PLOS Medicine: Ware NC, Wyatt MA, Geng EH, Kaaya SF, Agbaji OO, et al. (2013) Toward an Understanding of Disengagement from HIV Treatment and Care in Sub-Saharan Africa: A Qualitative Study. PLoS Med 10(1): e1001369. doi:10.1371/journal.pmed.10001369 Norma Ware and colleagues conducted a large qualitative study among patients in HIV treatment programs in sub-Saharan Africa to investigate reasons for missed visits and provide an explanation for disengagement from care. The roll-out of antiretroviral therapy (ART) in the poorest parts of the world is one of the greatest public health achievements in history. During the 1990s in Africa and elsewhere, thousands died every day for lack of access to treatment. Back then, courageous flight attendants at Lufthansa airlines, couriers at DHL company, and family members from the African diaspora found clever, albeit not always legal, ways to smuggle antiretrovirals into Africa and keep small numbers of patients alive. Visionary thinkers in organizations such as Médecins Sans Frontières (MSF) in South Africa and the Joint Clinical Research Centre (JCRC) in Uganda began treating patients while donors prevaricated over concerns about drug resistance, adherence challenges, and human resources logistics [1]. Then, in 2003, thanks in large part to US President George W. Bush, the President's Emergency Plan for AIDS Relief (PEPFAR) and The Global Fund began providing widespread antiretrovirals to those qualifying as most in need of treatment [2]. This signaled a massive turning point in the pandemic. The challenge now would be getting people onto treatment and keeping them on treatment. A new study in this week's PLOS Medicine [3] offers more insight into this challenge. Historically, one issue that was not foreseen was that despite the best efforts of providers and donors, a proportion of patients would withdraw from treatment. Sydney Rosen and colleagues published their important systematic review on the prevalence of loss to follow up among early treatment cohorts in 2007 [4]. Their study reported average attrition from early treatment programs at about 40%, and spirited the development of a field of research examining rates and risk factors for retention in programs. This was a wake-up call to those working on issues of adherence that pillboxes and fixed-dose combinations do nothing to help a patient who is no longer in care. Even now, our understanding of why people drop out of care, and how to intervene, remains limited [5]. Initially, there was widespread concern that most patients who leave care have died. However, studies that tracked patients lost from care have since provided important insights [6], including the fact that mortality among patients lost to follow up in Africa varies widely. Early tracing studies, for example, found that 12%–87% of patients died, indicating large heterogeneity [6]. Mortality associated with attrition from care is inversely associated with the proportion of patients lost [7]. So, if patients have disengaged from care and are not dead, then why have they chosen to interrupt life-saving treatment? Structured supervised treatment interruptions were once explored as a way to ration therapy and minimize adverse events but were found to result in higher mortality, and this strategy was abandoned [8]. A systematic review found that about 23% of patients take an unstructured treatment interruption that lasts an average of 150 days [9]. Interruptions from clinical care can be dichotomized between short-term and long-term. Short-term interruptions can be characterized as patients who miss clinical appointments due to a logistic or health barrier and will re-enter care when they can. These patients will likely miss both clinical assessment and take a short-term break from their pill-taking, increasing the risk of developing drug resistance, but ultimately returning to care. Longer-term interruptions may have more grave consequences. In an assessment of longer-term retention in care in Cameroon [10], Mégane Meresse and colleagues found that, among patients on treatment in the longer term, 20% had experienced treatment interruptions and these were uniquely predictive of virological failure, whereas adherence assessments did not predict failure. For many reasons, the study in this week's PLOS Medicine by Norma Ware and colleagues will be important for those engaged in supporting patient care in resource-limited settings. This study helps us understand that patient interactions with clinics are not simply about receiving pills or seeing a doctor. Some patients interrupt care due to costs or logistical reasons and likely re-enter care when their situation improves, while others discontinue care because of a lack of connection with their fellow patients or caregivers. These are different problems requiring different solutions. Even when field officers traced patients in this study, some patients felt that they were viewed as being bad patients. This should be a learning opportunity for those of us working in the HIV/AIDS field. An HIV+ diagnosis is often associated with a sense of shame and judgment that the person has engaged in some act that is socially unacceptable, whether that person has a partner who is unfaithful or themselves engage in casual sex. Ware and colleagues importantly highlight that, for patients who feel disconnected from a sense of community with the clinic, the shame and judgment are compounded at the clinic level and result in discontinuation of care. Several organizations have endeavored to create a sense of community at the clinic level. Efforts to build a sense of connection include drama and music groups, income-generating activities, and community-based delivery of care [10]. While these may sound like unscientific methods to provide medical care, they recognize that patients who feel disconnected from a community will ultimately have poor clinical outcomes that affect them, their families, and the local community. One of the most important evaluations of a community-based strategy comes from a rural MSF program in Mozambique [11]. Tom Decroo and colleagues referred patients to self-forming groups of patients in rural communities whose responsibility was to look after each other through assessing each other's health, ensuring adherence, and retaining each other in care. After more than 1 year, among 1,384 patients initiated on ART, 2% had died, and only two individual patients (0.2%) were absent from care, compared with 20% in other local programs. These remarkable findings display the importance of patients caring for other patients through shared experiences, lessons about coping, and friendship. Could “expert patients” be the next specialized health worker in the pandemic? [12] ART roll-out has been a highly innovative endeavor, and there have been many lessons learned since 2003, but there is still a long way to go. The next challenge is to find the best models for delivering effective ART care over the long-term. Understanding the reasons is a necessary first step, but this work should now move to interventional studies to define the most appropriate service delivery and patient support models for the next decade and beyond.
  11 in total

1.  Time patterns of adherence and long-term virological response to non-nucleoside reverse transcriptase inhibitor regimens in the Stratall ANRS 12110/ESTHER trial in Cameroon.

Authors:  Mégane Meresse; Maria Patrizia Carrieri; Christian Laurent; Charles Kouanfack; Camelia Protopopescu; Jérôme Blanche; Julien Cohen; Gabrièle Laborde-Balen; Avelin F Aghokeng; Bruno Spire; Jean-Paul Moatti; Eric Delaporte; Sylvie Boyer
Journal:  Antivir Ther       Date:  2013-01-29

Review 2.  Unstructured treatment interruption of antiretroviral therapy in clinical practice: a systematic review.

Authors:  Katharina Kranzer; Nathan Ford
Journal:  Trop Med Int Health       Date:  2011-07-01       Impact factor: 2.622

3.  Distribution of antiretroviral treatment through self-forming groups of patients in Tete Province, Mozambique.

Authors:  Tom Decroo; Barbara Telfer; Marc Biot; Jacob Maïkéré; Sergio Dezembro; Luisa Isabel Cumba; Carla das Dores; Kathryn Chu; Nathan Ford
Journal:  J Acquir Immune Defic Syndr       Date:  2011-02-01       Impact factor: 3.731

4.  CD4+ count-guided interruption of antiretroviral treatment.

Authors:  W M El-Sadr; J D Lundgren; J D Neaton; F Gordin; D Abrams; R C Arduino; A Babiker; W Burman; N Clumeck; C J Cohen; D Cohn; D Cooper; J Darbyshire; S Emery; G Fätkenheuer; B Gazzard; B Grund; J Hoy; K Klingman; M Losso; N Markowitz; J Neuhaus; A Phillips; C Rappoport
Journal:  N Engl J Med       Date:  2006-11-30       Impact factor: 91.245

5.  Correcting mortality for loss to follow-up: a nomogram applied to antiretroviral treatment programmes in sub-Saharan Africa.

Authors:  Matthias Egger; Ben D Spycher; John Sidle; Ralf Weigel; Elvin H Geng; Matthew P Fox; Patrick MacPhail; Gilles van Cutsem; Eugène Messou; Robin Wood; Denis Nash; Margaret Pascoe; Diana Dickinson; Jean-François Etard; James A McIntyre; Martin W G Brinkhof
Journal:  PLoS Med       Date:  2011-01-18       Impact factor: 11.069

6.  Are Expert Patients an Untapped Resource for ART Provision in Sub-Saharan Africa?

Authors:  Tom Decroo; Wim Van Damme; Guy Kegels; Daniel Remartinez; Freya Rasschaert
Journal:  AIDS Res Treat       Date:  2012-04-19

Review 7.  Quantifying and addressing losses along the continuum of care for people living with HIV infection in sub-Saharan Africa: a systematic review.

Authors:  Katharina Kranzer; Darshini Govindasamy; Nathan Ford; Victoria Johnston; Stephen D Lawn
Journal:  J Int AIDS Soc       Date:  2012-11-19       Impact factor: 5.396

8.  Toward an understanding of disengagement from HIV treatment and care in sub-Saharan Africa: a qualitative study.

Authors:  Norma C Ware; Monique A Wyatt; Elvin H Geng; Sylvia F Kaaya; Oche O Agbaji; Winnie R Muyindike; Guerino Chalamilla; Patricia A Agaba
Journal:  PLoS Med       Date:  2013-01-08       Impact factor: 11.069

9.  Mortality of patients lost to follow-up in antiretroviral treatment programmes in resource-limited settings: systematic review and meta-analysis.

Authors:  Martin W G Brinkhof; Mar Pujades-Rodriguez; Matthias Egger
Journal:  PLoS One       Date:  2009-06-04       Impact factor: 3.240

Review 10.  Patient retention in antiretroviral therapy programs in sub-Saharan Africa: a systematic review.

Authors:  Sydney Rosen; Matthew P Fox; Christopher J Gill
Journal:  PLoS Med       Date:  2007-10-16       Impact factor: 11.069

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  3 in total

1.  Impact of definitions of loss to follow-up (LTFU) in antiretroviral therapy program evaluation: variation in the definition can have an appreciable impact on estimated proportions of LTFU.

Authors:  Anna Thora Grimsrud; Morna Cornell; Matthias Egger; Andrew Boulle; Landon Myer
Journal:  J Clin Epidemiol       Date:  2013-06-15       Impact factor: 6.437

2.  Trends in prevalence of selected opportunistic infections associated with HIV/AIDS in Uganda.

Authors:  John Rubaihayo; Nazarius M Tumwesigye; Joseph Konde-Lule
Journal:  BMC Infect Dis       Date:  2015-04-17       Impact factor: 3.090

Review 3.  Can we stop AIDS with antiretroviral-based treatment as prevention?

Authors:  Edward J Mills; Jean B Nachega; Nathan Ford
Journal:  Glob Health Sci Pract       Date:  2013-03-21
  3 in total

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