Adherence to HIV treatment: results from a 1‐year follow‐up study

Martini, Michela; Delia, S.; Paoletti, Francesca; Cargnel, Antonietta; Adriani, Beatrice; Carosi, G.; Mazzotta, F.; Pietro, Massimo Di; Filippini, Pietro; Nasta, Paola; Cipriani, Sonia; Parazzini, Fabio; Agnoletto, Vittorio

doi:10.1046/j.1464-2662.2001.00092.x

Cited by 10 publications

(8 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Martini et al (2002) found that patient satisfaction with the clinician-patient relationship was related to adherence (number of medication errors in 2 months) in outpatients with HIV in an Italian multicenter study. In a correlational study of 707 outpatients, Bakken et al (2000) found that patients who were more engaged with their providers evidenced better adherence to medications and appointments and better immune health than their less-engaged peers.…”

Section: Introduction the Patient-clinician Relationship Influences Gmentioning

confidence: 99%

Patient?Clinician Relationships and Treatment System Effects on HIV Medication Adherence

Ingersoll

Heckman

2005

AIDS Behav

View full text Add to dashboard Cite

The study objectives were to determine the impact of the patient-clinician relationship on patient adherence to HIV medication, to identify which aspects of the patient-clinician relationship and the treatment system influenced adherence, and to determine which of these variables remained important when the impact of mental distress and substance abuse were considered. The design was a cross-sectional study using a sample of 120 HIV+ clinic patients. The Primary Care Assessment Survey (PCAS) assessed the clinician-patient relationship and the treatment system. The Composite International Diagnostic Inventory-Short Form (CIDI-SF) screened for mental disorders, and the Brief Substance Abuse History Form measured recent and remote substance use. Patient adherence was assessed using five markers including 3 interview-elicited self-reports, 1 medical chart review, and 1 summary score. Logistic regression analyses identified independent predictors of each adherence behavior. PCAS scores contributed to all five models, and their effects persisted when mental distress and substance abuse were considered. Adherence behaviors are explained by a variety of factors and should be assessed using multiple methods. Further study to illuminate the mechanisms of action of the clinician-patient relationship on adherence to HIV medication is warranted.

show abstract

Section: Introduction the Patient-clinician Relationship Influences Gmentioning

confidence: 99%

Patient?Clinician Relationships and Treatment System Effects on HIV Medication Adherence

Ingersoll

Heckman

2005

AIDS Behav

View full text Add to dashboard Cite

show abstract

“…O auto-relato tem sido uma fonte de informação muito usada para identificação da conduta de adesão, pela acessibilidade e praticidade 21,22 . No entanto, o auto-relato tem aspectos limitadores como a memória, o nível sócio-cultural e o relacionamento com a equipe de saúde, que podem influenciar a veracidade dos relatos dos pacientes.…”

Section: Introductionunclassified

Pessoas vivendo com HIV/AIDS: variáveis associadas à adesão ao tratamento anti-retroviral

et al. 2007

View full text Add to dashboard Cite

O estudo objetivou descrever o comportamento de adesão ao tratamento anti-retroviral em pessoas vivendo com HIV/AIDS e investigar preditores da adesão entre as variáveis escolaridade, presença de efeitos colaterais, interrupção anterior da terapia anti-retroviral (TARV) por conta própria, auto-estima, expectativa de auto-eficácia, estratégias de enfrentamento, suporte social e satisfação com a relação profissional de saúde-usuário. Adesão foi medida pelo auto-relato da perda do número de comprimidos/cápsulas dos medicamentos anti-retrovirais na última semana e mês, sendo considerada satisfatória na ocorrência de omissão inferior a 5% do total prescrito. Participaram 101 pessoas, 60,4% homens, idades entre 20 a 71 anos (M = 37,9 anos), 73,3% sintomáticos. A coleta de dados incluiu entrevista e instrumentos auto-aplicáveis. A maioria (n = 73; 72,3%) relatou adesão igual ou superior a 95%. Nos resultados da regressão logística, interrupção anterior da TARV e expectativa de auto-eficácia foram preditores significativos da adesão. Faz-se necessária a qualificação da assistência pela constituição de equipes interdisciplinares, para o desenvolvimento de abordagens adequadas às dificuldades médicas e psicossociais de adesão das pessoas vivendo com HIV/AIDS.

show abstract

“…Medication type was not explicitly mentioned in four studies,37,38,45,59 but we assumed CPMM was used since CPMM is the standard medical treatment for the 20 selected diseases in this review. In most studies, patients were recruited from medical clinics or hospitals and the sample size ranged from 50–1,911.…”

Section: Resultsmentioning

confidence: 99%

Psychosocial predictors of non-adherence to chronic medication: systematic review of longitudinal studies

Zwikker¹,

Bemt²,

Vriezekolk³

et al. 2014

PPA

View full text Add to dashboard Cite

ObjectivesSeveral cross-sectional studies suggest that psychosocial factors are associated with non-adherence to chronic preventive maintenance medication (CPMM); however, results from longitudinal associations have not yet been systematically summarized. Therefore, the objective of this study was to systematically synthesize evidence of longitudinal associations between psychosocial predictors and CPMM non-adherence.Materials and methodsPUBMED, EMBASE, CINAHL, and PsychINFO databases were searched for studies meeting our inclusion criteria. The reference lists and the ISI Web of Knowledge of the included studies were checked. Studies were included if they had an English abstract, involved adult populations using CPMM living in Western countries, and if they investigated associations between psychosocial predictors and medication non-adherence using longitudinal designs. Data were extracted according to a literature-based extraction form. Study quality was independently judged by two researchers using a framework comprising six bias domains. Studies were considered to be of high quality if ≥four domains were free of bias. Psychosocial predictors for non-adherence were categorized into five pre-defined categories: beliefs/cognitions; coping styles; social influences and social support; personality traits; and psychosocial well-being. A qualitative best evidence synthesis was performed to synthesize evidence of longitudinal associations between psychosocial predictors and CPMM non-adherence.ResultsOf 4,732 initially-identified studies, 30 (low-quality) studies were included in the systematic review. The qualitative best evidence synthesis demonstrated limited evidence for absence of a longitudinal association between CPMM non-adherence and the psychosocial categories. The strength of evidence for the review’s findings is limited by the low quality of included studies.ConclusionThe results do not provide psychosocial targets for the development of new interventions in clinical practice. This review clearly demonstrates the need for high-quality, longitudinal research to identify psychosocial predictors of medication non-adherence.

show abstract

Adherence to HIV treatment: results from a 1‐year follow‐up study

Cited by 10 publications

References 3 publications

Patient?Clinician Relationships and Treatment System Effects on HIV Medication Adherence

Patient?Clinician Relationships and Treatment System Effects on HIV Medication Adherence

Pessoas vivendo com HIV/AIDS: variáveis associadas à adesão ao tratamento anti-retroviral

Psychosocial predictors of non-adherence to chronic medication: systematic review of longitudinal studies

Contact Info

Product

Resources

About