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Record W2001898006 · doi:10.1037/h0086908

Complex HIV treatment regimens and patient quality of life.

2002· article· en· W2001898006 on OpenAlexaff
Markus R. Baer, Jillian Roberts

Bibliographic record

VenueCanadian Psychology/Psychologie canadienne · 2002
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsLife expectancyPsychosocialHuman immunodeficiency virus (HIV)Quality of life (healthcare)Antiretroviral therapyPsychologyMedicinePsychiatryPsychotherapistIntensive care medicineViral loadPopulationImmunology

Abstract

fetched live from OpenAlex

Abstract Recent advances in the treatment of HIV/AIDS have led to medical improvements for persons living with the virus. As a result, many now think of HIV infection as a chronic rather than a terminal illness. Along with this shift comes the understanding that individuals now live with treatments that require long-term adherence to regimens that are complex, time consuming, and not without deleterious side effects. greater life expectancy, nature of new treatments and their dependence on regimented adherence has recently led to the investigation of psychosocial variables loosely categorized as quality of life (QOL). Although there has been relatively little research on the topic in relation to new HIV therapies, what is known is that QOL - with all of its complications and dimensions - appears to play an essential role in HIV and HIV treatment. Moreover, QOL would seem to be a most worthwhile component to further investigations of improved therapies and betterment for the lives of infected individuals. following literature review discusses these issues, highlights key research findings, and provides directions for further research. Recent developments in the management of HIV/AIDS have brought about dramatic alterations in the lives of persons infected by the virus. introduction of more effective treatments, especially highly active antiretroviral therapy regimens (HAART) have not only resulted in lower viral loads, but also made significant impacts on morbidity and mortality (Altice & Friedland, 1998; Faber & McDaniel, 1999; Holzemer, Henry, Portillo, & Miramontes, 2000; Jeffe, Meredith, Mundy, & Fraser, 1998; Singh et al., 1999). In fact, as Singh et al. state, The remarkable success of the newer antiretroviral therapeutic regimens, with their ability to achieve durable suppression of HIV replication, have transformed HIV infection into a chronic manageable (p. 824). Antiretroviral medications are documented in the prolonging survival of individuals infected with HIV and, hence, in the status change of the disorder to one requiring long-term management and continued ongoing treatment (Bright, 1999;Jeffe et al., 1998). This is noteworthy in that ongoing treatment is the daunting and complex nature of the regimens that are part of HAART (Altice & Friedland, 1998; Bright, 1999; Holzemer et al., 1999). Further, these complicated and time-consuming treatments require rigorous adherence, with a medication cut-off point typically stipulated at 80% of doses taken for an adherence/ nonadherence distinction (Rabkin & Chesney, 1999; Williams, 1999). Conscientious maintenance is necessary in order to achieve full treatment effect and avoid increased viral loads, and the possibility of viral mutation and resistance (Holzemer et al., 1999; Holzemer et al., 2000; Mostashiri, Riley, Selwyn, & Altice, 1998; Singh et al., 1999). transition of HIV infection to a chronic disorder involving relatively complex treatments dependent on diligent patient adherence raises the need to consider how these treatments affect psychological integrity and the quality of life (QOL) of infected individuals. QOL includes dimensions of well-being spanning the physical, mental, and social, and including a diversity of aspects from direct symptomology and daily functioning to work performance and emotional status (Anderson, Hollenberg, & Williams, 1999; Cramer, 1999; Keith & Schalock, 1992, 1994). Medical diagnoses and treatments have implications that extend beyond the disease or infirmity, however; as Cramer notes, such matters are often not brought to the attention of the physician (p. S52). However, in the context of HIV/AIDS, QOL concerns are particularly relevant because they have been directly correlated with adherence to treatment regimens (Anderson et al., 1999; Holzemer et al., 1999; Holzemer et al., 2000; Mostashiri et al., 1998; Pequegnat & Stover, 1999; Singh et al. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.169
GPT teacher head0.388
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations22
Published2002
Admission routes1
Has abstractyes

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