Patterns and predictors of antiretroviral therapy use among alcohol drinkers at HIV clinics in Tshwane, South Africa.
Identifieur interne : 002860 ( Ncbi/Merge ); précédent : 002859; suivant : 002861Patterns and predictors of antiretroviral therapy use among alcohol drinkers at HIV clinics in Tshwane, South Africa.
Auteurs : Connie T. Kekwaletswe [Afrique du Sud] ; Neo K. MorojeleSource :
- AIDS care [ 1360-0451 ] ; 2014.
Descripteurs français
- KwdFr :
- Adulte, Adulte d'âge moyen, Agents antiVIH (usage thérapeutique), Auto-efficacité, Consommation d'alcool (effets indésirables), Enquêtes et questionnaires, Facteurs socioéconomiques, Femelle, Humains, Infections à VIH (psychologie), Infections à VIH (traitement médicamenteux), Mâle, Observance du traitement médicamenteux (), Observance du traitement médicamenteux (psychologie), République d'Afrique du Sud, Résultat thérapeutique.
- MESH :
- effets indésirables : Consommation d'alcool.
- psychologie : Infections à VIH, Observance du traitement médicamenteux.
- traitement médicamenteux : Infections à VIH.
- usage thérapeutique : Agents antiVIH.
- Adulte, Adulte d'âge moyen, Auto-efficacité, Enquêtes et questionnaires, Facteurs socioéconomiques, Femelle, Humains, Mâle, Observance du traitement médicamenteux, République d'Afrique du Sud, Résultat thérapeutique.
- Wicri :
- geographic : Afrique du Sud.
English descriptors
- KwdEn :
- Adult, Alcohol Drinking (adverse effects), Anti-HIV Agents (therapeutic use), Female, HIV Infections (drug therapy), HIV Infections (psychology), Humans, Male, Medication Adherence (psychology), Medication Adherence (statistics & numerical data), Middle Aged, Self Efficacy, Socioeconomic Factors, South Africa, Surveys and Questionnaires, Treatment Outcome.
- MESH :
- chemical , therapeutic use : Anti-HIV Agents.
- geographic : South Africa.
- adverse effects : Alcohol Drinking.
- drug therapy : HIV Infections.
- psychology : HIV Infections, Medication Adherence.
- statistics & numerical data : Medication Adherence.
- Adult, Female, Humans, Male, Middle Aged, Self Efficacy, Socioeconomic Factors, Surveys and Questionnaires, Treatment Outcome.
Abstract
Alcohol use is associated with compromised antiretroviral therapy (ART) adherence. We aimed to identify patterns and predictors of ART use among alcohol drinkers. Using purposive sampling, we recruited 304 male and female patients from two ART clinics in Tshwane, South Africa. Interviews were conducted using a structured questionnaire comprising measures of demographic factors, psychosocial factors (i.e., ART adherence, self-efficacy beliefs, alcohol and ART interactions beliefs, ART-alcohol outcome expectancy, attitude towards drinking alcohol and taking ART and HIV stigma) and alcohol use (AUDIT). Data were analysed using descriptive statistics and three multivariate linear regressions. Forty percent of the sample reported drinking alcohol. Half of the drinkers endorsed one of three unique patterns of ART use: (1) dosing ART earlier than required (2) taking ART while drinking alcohol and (3) skipping ART doses. The other half endorsed combinations of ART use on drinking days, for example, earlier ART dosing and taking ART while drinking alcohol was the most common combination. High adherence perseverance (a self-efficacy subscale) and a non-favourable attitude towards drinking alcohol and taking ART predicted the unique pattern of taking ART early when planning to drink alcohol. The unique pattern of taking ART despite drinking alcohol was predicted by higher levels of education (marginal significance) and experiencing low HIV stigma. A high score on the AUDIT and experience of high stigma predicted the unique pattern of skipping ART doses when drinking alcohol. Patterns of ART taking in alcohol drinkers in this sample are varied, and not always mutually exclusive. This apparent complexity of medication taking patterns among alcohol drinkers warrants further exploration. Furthermore, the finding that different psychosocial factors predict different ART-taking patterns suggests a need for programmes to improve alcohol-related non-adherence to ART to be multifaceted.
DOI: 10.1080/09540121.2014.906558
PubMed: 24731102
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We aimed to identify patterns and predictors of ART use among alcohol drinkers. Using purposive sampling, we recruited 304 male and female patients from two ART clinics in Tshwane, South Africa. Interviews were conducted using a structured questionnaire comprising measures of demographic factors, psychosocial factors (i.e., ART adherence, self-efficacy beliefs, alcohol and ART interactions beliefs, ART-alcohol outcome expectancy, attitude towards drinking alcohol and taking ART and HIV stigma) and alcohol use (AUDIT). Data were analysed using descriptive statistics and three multivariate linear regressions. Forty percent of the sample reported drinking alcohol. Half of the drinkers endorsed one of three unique patterns of ART use: (1) dosing ART earlier than required (2) taking ART while drinking alcohol and (3) skipping ART doses. The other half endorsed combinations of ART use on drinking days, for example, earlier ART dosing and taking ART while drinking alcohol was the most common combination. High adherence perseverance (a self-efficacy subscale) and a non-favourable attitude towards drinking alcohol and taking ART predicted the unique pattern of taking ART early when planning to drink alcohol. The unique pattern of taking ART despite drinking alcohol was predicted by higher levels of education (marginal significance) and experiencing low HIV stigma. A high score on the AUDIT and experience of high stigma predicted the unique pattern of skipping ART doses when drinking alcohol. Patterns of ART taking in alcohol drinkers in this sample are varied, and not always mutually exclusive. This apparent complexity of medication taking patterns among alcohol drinkers warrants further exploration. Furthermore, the finding that different psychosocial factors predict different ART-taking patterns suggests a need for programmes to improve alcohol-related non-adherence to ART to be multifaceted.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">24731102</PMID><DateCreated><Year>2014</Year><Month>07</Month><Day>21</Day></DateCreated><DateCompleted><Year>2014</Year><Month>10</Month><Day>24</Day></DateCompleted><DateRevised><Year>2015</Year><Month>11</Month><Day>19</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1360-0451</ISSN><JournalIssue CitedMedium="Internet"><Volume>26 Suppl 1</Volume><PubDate><Year>2014</Year></PubDate></JournalIssue><Title>AIDS care</Title><ISOAbbreviation>AIDS Care</ISOAbbreviation></Journal><ArticleTitle>Patterns and predictors of antiretroviral therapy use among alcohol drinkers at HIV clinics in Tshwane, South Africa.</ArticleTitle><Pagination><MedlinePgn>S78-82</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1080/09540121.2014.906558</ELocationID><Abstract><AbstractText>Alcohol use is associated with compromised antiretroviral therapy (ART) adherence. We aimed to identify patterns and predictors of ART use among alcohol drinkers. Using purposive sampling, we recruited 304 male and female patients from two ART clinics in Tshwane, South Africa. Interviews were conducted using a structured questionnaire comprising measures of demographic factors, psychosocial factors (i.e., ART adherence, self-efficacy beliefs, alcohol and ART interactions beliefs, ART-alcohol outcome expectancy, attitude towards drinking alcohol and taking ART and HIV stigma) and alcohol use (AUDIT). Data were analysed using descriptive statistics and three multivariate linear regressions. Forty percent of the sample reported drinking alcohol. Half of the drinkers endorsed one of three unique patterns of ART use: (1) dosing ART earlier than required (2) taking ART while drinking alcohol and (3) skipping ART doses. The other half endorsed combinations of ART use on drinking days, for example, earlier ART dosing and taking ART while drinking alcohol was the most common combination. High adherence perseverance (a self-efficacy subscale) and a non-favourable attitude towards drinking alcohol and taking ART predicted the unique pattern of taking ART early when planning to drink alcohol. The unique pattern of taking ART despite drinking alcohol was predicted by higher levels of education (marginal significance) and experiencing low HIV stigma. A high score on the AUDIT and experience of high stigma predicted the unique pattern of skipping ART doses when drinking alcohol. Patterns of ART taking in alcohol drinkers in this sample are varied, and not always mutually exclusive. This apparent complexity of medication taking patterns among alcohol drinkers warrants further exploration. Furthermore, the finding that different psychosocial factors predict different ART-taking patterns suggests a need for programmes to improve alcohol-related non-adherence to ART to be multifaceted.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Kekwaletswe</LastName><ForeName>Connie T</ForeName><Initials>CT</Initials><AffiliationInfo><Affiliation>a South African Medical Research Council , Alcohol, Tobacco and Other Drug Research Unit , Pretoria , South Africa.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Morojele</LastName><ForeName>Neo K</ForeName><Initials>NK</Initials></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>U2G/PS001137-02</GrantID><Acronym>PS</Acronym><Agency>NCHHSTP CDC HHS</Agency><Country>United States</Country></Grant><Grant><Agency>PEPFAR</Agency><Country>United States</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013487">Research Support, U.S. Gov't, P.H.S.</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2014</Year><Month>04</Month><Day>14</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>AIDS Care</MedlineTA><NlmUniqueID>8915313</NlmUniqueID><ISSNLinking>0954-0121</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D019380">Anti-HIV Agents</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><CitationSubset>X</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000428" MajorTopicYN="N">Alcohol Drinking</DescriptorName><QualifierName UI="Q000009" MajorTopicYN="Y">adverse effects</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D019380" MajorTopicYN="N">Anti-HIV Agents</DescriptorName><QualifierName UI="Q000627" MajorTopicYN="Y">therapeutic use</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015658" MajorTopicYN="N">HIV Infections</DescriptorName><QualifierName UI="Q000188" MajorTopicYN="Y">drug therapy</QualifierName><QualifierName UI="Q000523" MajorTopicYN="N">psychology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D055118" MajorTopicYN="N">Medication Adherence</DescriptorName><QualifierName UI="Q000523" MajorTopicYN="N">psychology</QualifierName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D020377" MajorTopicYN="N">Self Efficacy</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012959" MajorTopicYN="N">Socioeconomic Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013019" MajorTopicYN="N" Type="Geographic">South Africa</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011795" MajorTopicYN="N">Surveys and Questionnaires</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016896" MajorTopicYN="N">Treatment Outcome</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">South Africa</Keyword><Keyword MajorTopicYN="N">adherence</Keyword><Keyword MajorTopicYN="N">alcohol</Keyword><Keyword MajorTopicYN="N">antiretroviral therapy</Keyword><Keyword MajorTopicYN="N">patterns of ART taking</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2014</Year><Month>4</Month><Day>16</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2014</Year><Month>4</Month><Day>16</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2014</Year><Month>10</Month><Day>25</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">24731102</ArticleId><ArticleId IdType="doi">10.1080/09540121.2014.906558</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Afrique du Sud</li></country></list><tree><noCountry><name sortKey="Morojele, Neo K" sort="Morojele, Neo K" uniqKey="Morojele N" first="Neo K" last="Morojele">Neo K. Morojele</name></noCountry><country name="Afrique du Sud"><noRegion><name sortKey="Kekwaletswe, Connie T" sort="Kekwaletswe, Connie T" uniqKey="Kekwaletswe C" first="Connie T" last="Kekwaletswe">Connie T. Kekwaletswe</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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