P5-S6.36 Factors affecting quality of life of people living with HIV In Karnataka, India
Pourquoi ce travail est dans la base
Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.
Notice bibliographique
Résumé
Background In India, stigma and discrimination in healthcare settings, poor linkages between services and lack of trained personnel affect the quality and accessibility of HIV services. In effort to both scale up and strengthen the quality and coordination of HIV care and support services in the state of Karnataka, the Samastha Project was developed. This enhanced care model uses a district based approach which integrates government services with project-based care and support services. Quality of life (QOL) is a critical outcome of HIV intervention. There is little data on the effect of HIV care and support services on QOL. We used baseline data from a 2-year prospective cohort study (QOL-Cohort study) of people living with HIV (PLHIV) in the Samastha program to identify factors affecting QOL among PLHIV. Methods We conducted Factorial analysis using a set of key variables assumed to be associated with QOL to develop a factor score from the data collected by a face-to-face interview using a standardised questionnaire from QOL cohort study. Multivariate linear regression analysis was conducted using the factor score as dependent variable. High factor score indicated high QOL. Age, gender, locality and intensity of exposure to Samastha program were considered a priori independent variables. Factors which were associated with the outcome variable and at least one a priori independent variable were included in the final model for multivariate analysis. Results Gender, marital status, type of housing and occupation were significantly associated with quality of life of PLHIV. Mean score (QOL) is 16.6% (ß=−0.166, 95% CI −0.31 to −0.02) lower among men compared to women. It is 31.8% (ß=−0.318, 95% CI −0.19 to −0.08) lower among widowed/divorced/separated PLHIV compared to currently married PLHIV. Mean score (QOL) is significantly lower among PLHIV who do not have a perceptible income source (ß=−0.20, 95% CI −0.36 to −0.04) compared to those with steady income. PLHIV who live in Kuccha (house built of temporary material) houses (ß=−0.26, 95% CI −0.38 to −0.14) had a significantly higher mean QOL score compared to those living in Pucca (house built of permanent material) house. Intensity of program exposure was not associated with QOL of PLHIV in this baseline survey see Abstract P5-S6.36 table 1. Abstract P5-S6.36 Table 1 Factors associated with Quality of life of People living with HIV in Karnataka, India- Quality of life Cohort Study—2010–2011 Factor score as dependant variable β-Coefficient* p Value 95% CI Age Age in years −0.002 0.549 −0.01 to 0.004 Gender Female Reference Male −0.17 0.022 −0.31 to −0.02 Locality Urban Reference Rural −0.05 0.447 −0.19 to 0.09 Exposure to program Low Reference High 0.02 0.677 −0.09 to −0.13 Marital status Currently married Reference Widowed/Seperated/Divorced −0.32 <0.0001 −0.45 to −0.19 Never married/Devadasi −0.26 0.046 −0.51 to −0.01 Literacy Illiterate Reference Literate 0.1 0.092 −0.02 to 0.22 Source of Income Steady income Reference Irregular income 0.01 0.903 −0.13 to 0.15 No perceptible source of income −0.2 0.014 −0.36 to −0.04 Type of housing Pucca Reference Kuccha −0.26 <0.0001 −0.38 to −0.14 Constant 0.37 0.01 0.09 to 0.64 * Adjusted for all other factors in the table. Conclusions Illiteracy, male gender, no perceptible source of income, living in a Kuccha house and being widowed, divorced or separated are associated with poor QOL among PLHIV.
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.
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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