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Enregistrement W2036185158 · doi:10.1097/qad.0000000000000515

The contrasting cultures of HIV and tuberculosis care

2014· editorial· en· W2036185158 sur OpenAlexafffundabout
Amrita Daftary, Liviana Calzavara, Nesri Padayatchi

Notice bibliographique

RevueAIDS · 2014
Typeeditorial
Langueen
DomaineMedicine
ThématiqueHIV/AIDS Research and Interventions
Établissements canadiensUniversity of Toronto
Organismes subventionnairesNational Institute of Allergy and Infectious DiseasesCanadian Institutes of Health Research
Mots-clésTuberculosisHuman immunodeficiency virus (HIV)VirologyMedicineSidaImmunologyViral diseasePathology

Résumé

récupéré en direct d'OpenAlex

Introduction Approximately 13% of the newly diagnosed tuberculosis (TB) cases, or 1.1 million people worldwide, are co-infected with the HIV. In 2011 alone, HIV-associated TB contributed to over 430 000 deaths, the majority of which were in sub-Saharan Africa [1]. The WHO has recommended enhanced HIV and TB program collaboration and service integration to facilitate the concerted prevention, treatment and support of these commonly occurring co-infections, and mitigate their dual impact. The principle of ‘two diseases, one patient’, however, remains unrealized within many high-burden countries as a result of significant challenges associated with co-diagnosis, co-treatment and TB infection control, as well as financial and human resource constraints [2–4]. We call attention to the distinct paradigms underlying HIV and TB service delivery, or the distinct ‘cultures’ of HIV and TB care, as an additional consideration to integration efforts. Discussion Historically, TB control has been based in a traditional public health approach [3,5,6]. Since the 1990s, prevention and treatment measures have been standardized under the WHO DOTS strategy. Whereas this framework brings together critical tenets of infectious disease control – political commitment, case detection, drug procurement, treatment supervision, and monitoring and evaluation – it emphasizes the direct observation of treatment intake or DOT [7]. The emerging challenges of HIV and drug-resistant TB have prompted several modifications to this framework, including greater community involvement, patient education, service decentralization, HIV–TB collaboration, and research [8,9]. However, most TB programs today continue to function under a model of care that targets the proximal, biomedical determinants of infection and maximizes TB case detection, case notification, treatment adherence, and cure [3,8,10]. HIV control, in contrast, has been rooted in a patient-sensitive, individualized approach from its inception [3,6]. Clinical guidelines exist, but there is much less global standardization of care, not unrelated to the rapid evolution of scientific advancements and treatment access [3,11]. While ‘case detection’ and adherence are prioritized, HIV programs pay equal attention to patient education, privacy, and empowerment, driven by activism and an inherent mandate to safeguard individual rights from the effects of stigma and discrimination [12,13]. HIV programs traditionally support voluntary or consensual testing as opposed to routine, in some cases mandatory, TB screening [10,12,13]. The social determinants of health, such as poverty and gender inequality, are at the forefront of HIV management. This mindset, although slowly emerging, remains comparatively infrequent within most TB programs. So how have HIV and TB programs come to reflect such disparate paradigms of care? In the early 1990s, when the problem of co-infection emerged, social scientists noted that the different approaches to HIV and TB management were a product of their distinct clinical etiologies and trajectories [5,6,12,13]. HIV is primarily transmitted through intimate contact (e.g. sexual practices, needle sharing), whereas TB is spread via airborne, nonintimate contact (e.g. cough). Transmission of HIV, relative to TB, involves more conscious behavioral pathways, notwithstanding their shared social determinants. HIV prevention therefore mandates working with patients, and the greater involvement of people living with the virus is now intrinsic to HIV policy and practice [14]. Enforced compliance through collective government approaches or medical coercion, as has been seen with TB management, is perceived to be counterproductive to sustained behavioral change [6,15]. HIV is also a lifelong, incurable illness with a persistent infectious stage. TB may be rendered both noninfectious and curable with 6–12 months of treatment. Relatively authoritarian measures such as routine screening, treatment supervision and, in some cases, mandatory treatment may be easier to implement when a cure is probable, as with TB, but difficult to sustain over a lifetime, as with HIV [12,13]. The impact of stigma, often more acutely experienced in cases of HIV, likely reinforces the emphasis on patient privacy and confidentiality within HIV programs [6]; consider the different approaches of tracing and disclosing to TB versus HIV ‘contacts’. Indeed, the HIV community's critique of policies that criminalize nondisclosure is further testimony to their intolerance for collective approaches that may compound HIV stigma and infringe on individual patient rights [15]. Over the years, HIV and TB programs have attracted diverse levels of social and political momentum. Governments worldwide have less readily formed consensus on the cause and impact of HIV, in part, due to its association with behaviors perceived to be immoral and illicit. As a result, early HIV programs met fragmented political support and denialism in some cases [16,17]. Affected communities rallied from the ground-up to mobilize grassroots movements as a means to elicit global consensus and a concerted response [14,16,17]. HIV activists, including persons living with HIV, were and arguably remain some of the most powerful voices of HIV resource mobilization [13,14,16]. HIV advocacy was also largely spearheaded by gay men, who were already part of an established community [5,13]. TB advocacy has lacked this populist grassroots support [14,16]. Instead, TB programs have been criticized for alienating affected communities through their top-down approach to disease management. The lack of patient involvement in decisions governing treatment access and adherence has been tied to the absence of commensurate TB advocacy and support worldwide [7,16]. Only recently have TB practitioners started to reverse their longstanding use of incriminating terms such as ‘suspects’ to describe people affected by TB, which would be unthinkable to apply in the context of HIV [18]. In comparison to HIV, operational and implementation research for TB, including drug development, has progressed at a much slower pace. Alongside an array of antiretroviral agents, bedaqualine represents one of the only truly novel antituberculosis agents to be approved in decades [19]. The adoption of an unquestioning mindset to established protocols has been argued to compound the dearth of innovation in TB research [2,14]. Furthermore, that HIV is recognized as an important public health concern within many industrialized nations has armed HIV programming with access to greater resources. The impact of TB, on the contrary, remains concentrated within poorer countries that have less monetary power to initiate novel research or action [16]. HIV and TB programs thus appear to have become rooted in diverse approaches to healthcare delivery. Yet, in our quest for optimizing their concurrent management, comparatively few studies have drawn attention to these distinctions. In sharing their early experiences with service integration in South Africa, Coetzee et al.[20] and Friedland et al.[21] commented on the different programmatic approaches within HIV and TB clinics. Abdool Karim et al.[2] have suggested that the greater attention to patient education and treatment literacy, and address to the social implications of HIV, may help explain the relatively higher rates of adherence and retention recorded within some HIV programs. Indeed, the lack of community empowerment, believed to be perpetuated by a DOT approach, has been associated with high rates of patient attrition from TB clinics [8,16]. In KwaZulu Natal province, we found co-infected patients’ comparative experiences within HIV and TB clinics not only reflected the different ‘cultures’ of health care delivery within HIV and TB programs, but additionally influenced patients’ decisions for service integration [22]. The impersonal attitude perceived within TB clinics, in contrast to the compassion and privacy experienced within HIV clinics, dissuaded some patients from disclosing HIV to their TB and DOT providers and from accessing dual services within the structure of a TB program [22]. A recent study including patients co-infected with HIV and drug-resistant TB found adherence to antiretroviral therapy (ART) was significantly higher than to second-line TB treatment [23]. In related qualitative work, we analyzed how co-infected patients’ dissatisfaction with TB services, characterized by alienating experiences with TB notification and treatment supervision, negatively influenced adherence to TB treatment. By contrast, patients’ greater involvement in HIV treatment and ART education provided them with a sense of ownership that reinforced preferential adherence to ART [24]. These data highlight how divergent models of HIV and TB healthcare may influence patients’ decisions toward service integration and adherence, which collectively may impact treatment outcomes for co-infection. In conclusion, we urge HIV and TB programs to address their ‘cultural’ differences in framing collaborative efforts (see Fig. 1), so that services may be delivered under a cohesive and complementary approach that meets the sociomedical needs of co-infected patients. Agencies such as the WHO and United States Centres for Disease Control are beginning to champion a public health approach to HIV care, comprising stricter treatment initiation criteria, standardized first-line and second-line regimens, provider-initiated screening and testing with opt-out mechanisms, and the application of DOT-based models to ART [4,25,26]. Although these efforts reflect some blurring of the differences between the two programs, they have had to contend with the enduring climate of HIV ‘exceptionalism’ [25], particularly around treatment readiness and individualized consent to testing and treatment. Commensurate efforts are needed around the more widespread adoption of patient-sensitive approaches to care within TB programs [4,15,16]. Realistic address to the distinct paradigms underlying HIV and TB control must also consider how to marry the holistic philosophy of HIV care with the focused strategy of TB management in the context of available financial and human assets.Fig. 1: Program collaboration amidst the contrasting cultures of HIV and tuberculosis care.Acknowledgements Role of each author: A.D. wrote the first draft of this manuscript. L.C. and N.P. contributed to thematic development. All three authors conceptualized the study, reviewed, and approved the final version. Sources of funding: A.D. is funded under a postdoctoral fellowship by the Canadian Institutes of Health Research (CIHR). L.C. is Director of the CIHR Social Research Centre in HIV Prevention, which was established under the support of the CIHR HIV/AIDS Research Initiative (CIHR; grant no. HCP-97106). N.P. is Deputy Director of the Centre for the AIDS Program of Research in South Africa (CAPRISA), which was established as part of the Comprehensive International Program of Research on AIDS (CIPRA; grant no. AI51794) from the US National Institutes of Health. Conflicts of interest There are no conflicts of interest.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,004
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,132
Score d'incertitude au seuil0,505

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,008
Tête enseignante GPT0,320
Écart entre enseignants0,312 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

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Citations37
Publié2014
Routes d'admission3
Résumé présentoui

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