Predictors of poor health-related quality of life among people living with HIV aged ≥60 years in the PISCIS cohort: Findings from the Vive+ project

INTRODUCTION

Advancements in and accessibility to effective antiretroviral therapy has improved the life expectancy of people living with HIV, increasing the proportion of people living with HIV reaching older age (≥60 years), making this population's health-related quality of life (HRQoL) more relevant. Our aim was to identify the determinants of poor HRQoL in people living with HIV aged ≥60 years and compare them with those of their younger counterparts.

METHODS

We used data from the 'Vive+' study, a cross-sectional survey conducted between October 2019 and March 2020, nested within the PISCIS cohort of people living with HIV in Catalonia and the Balearic Islands, Spain. We used the 12-item short-form survey (SF-12), divided into a physical component summary (PCS) and a mental component summary (MCS), to evaluate HRQoL. We used the least absolute shrinkage and selection operator for variable selection and used multivariable regression models to identify predictors.

RESULTS

Of the 1060 people living with HIV (78.6% males) who participated in the study, 209 (19.7%) were aged ≥60 years. When comparing older people living with HIV (≥60 years) and their younger counterparts, older people exhibited a worse PCS (median 51.3 [interquartile range {IQR} 46.0-58.1] vs. 46.43 [IQR 42.5-52.7], p < 0.001) but a similar MCS (median 56.0 [IQR 49.34-64.7] vs. 57.0 [IQR 48.9-66.3], p = 0.476). In the multivariable analysis, cognitive function correlated with a PCS (β correlation factor [β] -0.18, p = 0.014), and depressive symptoms and satisfaction with social role correlated with an MCS (β 0.61 and β -0.97, respectively, p < 0.001) in people living with HIV aged ≥60 years.

CONCLUSION

Depressive symptoms, poor cognitive function, and lower satisfaction with social roles predict poorer HRQoL in older people living with HIV. These factors need to be considered when designing targeted interventions.

Improving screening and brief intervention activities in primary health care: Secondary analysis of professional accuracy based on the AUDIT-C

INTRODUCTION AND OBJECTIVE

The ODHIN trial found that training and support and financial reimbursement increased the proportion of patients that were screened and given advice for their heavy drinking in primary health care. However, the impact of these strategies on professional accuracy in delivering screening and brief advice is underresearched and is the focus of this paper.

METHOD

From 120 primary health care units (24 in each jurisdiction: Catalonia, England, the Netherlands, Poland, and Sweden), 746 providers participated in the baseline and the 12-week implementation periods. Accuracy was measured in 2 ways: correctness in completing and scoring the screening instrument, AUDIT-C; the proportion of screen-negative patients given advice, and the proportion of screen-positive patients not given advice. Odds ratios of accuracy were calculated for type of profession and for intervention group: training and support, financial reimbursement, and internet-based counselling.

RESULTS

Thirty-two of 36 711 questionnaires were incorrectly completed, and 65 of 29 641 screen-negative patients were falsely classified. At baseline, 27% of screen-negative patients were given advice, and 22.5% screen-positive patients were not given advice. These proportions halved during the 12-week implementation period, unaffected by training. Financial reimbursement reduced the proportion of screen-positive patients not given advice (OR = 0.56; 95% CI, 0.31-0.99; P < .05).

CONCLUSION

Although the use of AUDIT-C as a screening tool was accurate, a considerable proportion of risky drinkers did not receive advice, which was reduced with financial incentives.