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Enregistrement W2158512941 · doi:10.1086/521249

Simple, Effective Interventions Are Key to Improving Adherence in Marginalized Populations

2007· letter· en· W2158512941 sur OpenAlexaff
Edward J. Mills, Curtis Cooper

Notice bibliographique

RevueClinical Infectious Diseases · 2007
Typeletter
Langueen
DomaineMedicine
ThématiqueHIV/AIDS Research and Interventions
Établissements canadiensOttawa HospitalUniversity of OttawaAIDS Vancouver
Organismes subventionnairesnon disponible
Mots-clésMedicinePsychological interventionSimple (philosophy)Intervention (counseling)Human immunodeficiency virus (HIV)SimplicityIntensive care medicinePopulationFamily medicineEnvironmental healthNursing

Résumé

récupéré en direct d'OpenAlex

To assist any marginalized population in poor health, we require simple, effective interventions that are pragmatically accessible. In this issue of Clinical Infectious Diseases, Petersen et al. [1] demonstrate an important association between pillbox use and both improved adherence and decreased HIV load. Considering the low cost and simplicity of this intervention, it represents an important tool to assist patients with HIV infection who are on the threshold of adequate adherence to maximize the potential outcomes possible with their daily combination antiretroviral regimens. There are currently few easily applied interventions with proven effectiveness in improving adherence [2]. Despite the plethora of interventions evaluated, ranging from toolkits and psychological counselling to cellular telephone text messages, many of these interventions have poor effectiveness, are difficult to apply broadly, and are expensive. Many marginalized populations living with HIV infection or AIDS, such as drug users, the homeless, and those with mental illness, are unable to access consistent, human resource–based interventions [3]. Challenges for these populations include forgetfulness, drug-induced apathy, stigma, and a lack of interest in time-consuming interventions that require interactions with health care staff. Although the barriers to adequate adherence in these populations are well-known, facilitators to improving adherence are less well understood [3]. For this reason, the contribution by Petersen et al. [1] provides an important step towards providing pragmatic assistance to marginalized people living with HIV infection or AIDS. The usefulness of pillboxes in treating chronic diseases is not new, and previous meta-analyses of randomized trials involving other conditions have demonstrated their effectiveness [4]. So why has it taken so long to evaluate their role in treating HIV infection and AIDS? Rather than looking towards simple interventions that patients can understand and access, the traditional focus of adherence research has been directed towards expensive and human resource–intensive interventions [2]. For example, directly observed therapy with antiretroviral drugs is now being disseminated widely among marginalized populations in North America and elsewhere. However, the success of this intervention remains in question [5]; it is comparatively expensive, and it may be associated with negative psychosocial outcomes. It seems obvious that, before resource-intensive interventions are initiated, we should first try simple and accessible strategies. This study [1] demonstrates, using a complex analysis of the San Francisco cohort, further strong inferences about the causative relationship between a simple intervention (i.e., pillboxes) and improved adherence. We recognize that evaluating adherence is a challenge in any population and that there is no gold standard for evaluating adherence. Petersen et al. [1] used unplanned pill counts as the primary outcomes, a strategy that provides strong inferences about the number of pills taken prior to the pill count. This strategy is superior to more-complex measurement tools, such as electronic bottle caps and pharmacy refills, because it removes research environment–driven biases and eliminates the patient's knowledge of how many pills to return to the pharmacy [6]. However, the study is not without bias. The willingness of patients to use pillboxes may be a marker of increased desire to take antiretroviral therapy. To the benefit of this analysis, the group reinforced their assessment of adherence by examining its relationship with the clinically important end point of plasma HIV load (albeit with a cutoff point of 400 copies/mL, which is higher than what is considered to be optimal by today's standards). Nevertheless, although neither end point alone is proof of causation, the combined relationship observed by Petersen et al. [1] is persuasive evidence that this low-cost intervention improves clinical outcomes. The findings of Petersen et al. [1] indicate that this intervention increases adherence by 4%–5%. Although, at first glance, this seems like an outcome that will produce only benefit, the true impact on immediate and long-term HIV load suppression may be dependent on the patient's baseline level of adherence. For the occasionally nonadherent patient (e.g., one who takes 90% of the prescribed mediations, with a missed dose every 1–2 weeks), the pillbox intervention may have a fundamentally beneficial impact on preventing the development of antiretroviral drug resistance by reducing, if not eliminating, periods during which wild-type HIV is exposed to subtherapeutic plasma antiretroviral levels. The impact on those patients with much poorer levels of adherence is uncertain. For some, provision of medications by pillbox may provide the amount of structure and routine needed to transform an occasional user of antiretroviral drugs into one who achieves the 95% level of adherence needed to achieve durable virologic suppression and avoid drug resistance evolution [7]. One undesirable but plausible outcome is that a 5% improvement in adherence may shift a patient from maintaining drug levels that are too low to generate drug resistance to a subtherapeutic plasma antiretroviral level that is insufficient to fully suppress HIV but is high enough to provide sufficient pressure to produce drug resistance. This may be an issue of particular relevance with respect to protease inhibitor–based treatment [8]. Despite this theoretical concern, the reality is that suboptimal adherence is a major hurdle to achieving success with HIV therapy, and few effective interventions are available to correct this. However, the most important aspect of the study is not the novel methodology or the advanced statistical methods used, but that the authors asked an important, straightforward question and aimed to answer it in a sound manner [9]. Although the medical research world is promising tremendous improvements in health with advanced technologies, effective and accessible interventions are few and far between. Populations affected by drug use, homelessness, and mental illness are the least likely to access new technologies, and any interventions with monetary value will often be sold or lost within a short period. Assessing an intervention that costs <$5 and that can be used repeatedly over an extended period is not a particularly flashy approach to improving HIV infection and AIDS care. Pillboxes represent a pragmatic, user-friendly, and cost-effective approach to health care delivery that should be most welcome in these populations. Patients in marginalized populations are some of the hardest to treat effectively, and that is why we need to assess simple interventions that are culturally acceptable. Although we can dream up complex and expensive interventions, their applicability in these populations is questionable. Simple and effective interventions that are widely used can have a tremendous impact on the health of the population. Pillboxes appear to be one such simple and effective intervention and should be widely used. Financial support. Canadian Institutes for Health Research (to E.J.M.) and the Ontario HIV Treatment Network (to C.C.). Potential conflicts of interest. E.J.M. and C.C.: no conflicts.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,022
Version: metacan-v3-hybrid-931329e0061cStatut 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: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,013
Score d'incertitude au seuil0,031

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,022
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0020,002
Communication savante0,0020,003
Science ouverte0,0010,001
Intégrité de la recherche0,0130,015
Charge utile insuffisante (le modèle a refusé de juger)0,0090,005

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 Opus0,112
Tête enseignante GPT0,473
Écart entre enseignants0,361 · 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 source (Gemma direct ou Codex distillé), 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
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations9
Publié2007
Routes d'admission1
Résumé présentoui

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