A feasible method for linkage studies avoiding clerical review: linkage of the national HIV/AIDS surveillance databases with the National Death Index in Australia

Nakhaee, Fatemeh; McDonald, Ann; Black, Deborah; Law, Matthew

doi:10.1111/j.1753-6405.2007.00076.x

Cited by 9 publications

(8 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nakhaee et al 18 carried out a probabilistic linkage of HIV-AIDS surveillance and mortality data in Australia. By choosing weights of match pairs that maximize sensitivity and specificity, they obtained, as the best result, a sensitivity of 82% and a specificity of 92%.…”

Section: Discussionmentioning

confidence: 99%

“…This procedure might be timeconsuming and because of its subjective nature, it is also subject to error. Using the "known vital status" ascertained trough existing secondary databases represents a more cost-effective strategy, which has been applied in a number of studies 6,18,27 . Because we used the date of death recorded in the AIDS surveillance database to classify a patient as deceased (more detailed information), it is very unlikely that an individual reported as deceased would in fact be alive.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Accuracy of a probabilistic record linkage strategy applied to identify deaths among cases reported to the Brazilian AIDS surveillance database

et al. 2010

View full text Add to dashboard Cite

Since record linkage errors can bias measures of disease occurrence and association, it is important to assess their accuracy. The aim of this study is to assess the accuracy of a multiple pass probabilistic record linkage strategy to identify deaths among persons reported to the Brazilian AIDS surveillance database. An HIV/AIDS national surveillance database (N = 559,442) was linked to a total of 6,444,822 deaths registered (all causes) in the Brazilian mortality database. To estimate standard measures of accuracy, we selected all AIDS cases with a date of death registered in the surveillance database from 2002 to 2005 (N = 19,750) and 38,675 cases known to be alive in 2006. The linkage strategy presented a sensitivity of 87.6% (95%CI: 87.1-88.2), a specificity of 99.6% (95%CI: 99.6-99.7), and a positive predictive value of 99.2% (95%CI: 99.1-99.3). We observed a small variation in the validity measures according to some putative predictors of mortality. Our findings suggest that even large and heterogeneous databases can be linked with a satisfactory accuracy.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Accuracy of a probabilistic record linkage strategy applied to identify deaths among cases reported to the Brazilian AIDS surveillance database

et al. 2010

View full text Add to dashboard Cite

show abstract

“…Ascertainment of hospital admissions were most likely affected by the use of name codes rather than full names as a matching variable in the data linkage; although previous studies linking Australian HIV/AIDS registries to death [29] and cancer [30] registries reported 82–99% sensitivity and 92–100% specificity. To reduce the likelihood of multiple matches in the populous state of NSW, we first restricted the linked hospital morbidity and death records to individuals with HIV recorded as a diagnosis.…”

Section: Discussionmentioning

confidence: 99%

Hospitalizations in a cohort of HIV patients in Australia, 1999–2007

Falster

Wand²,

Donovan³

et al. 2010

Aids

View full text Add to dashboard Cite

Objectives To describe hospitalization rates, risk factors and associated diagnoses in people with HIV in Australia between 1999 and 2007. Design Retrospective cohort study of people with HIV (n = 842) using data linkage between the Australian HIV Observational Database and administrative hospital morbidity data collections. Methods Incidence rate ratios with 95% confidence intervals were estimated using Poisson regression models to assess risk factors for hospitalization. Predictors of length of stay were assessed using generalized mixed models. The association between hospitalization and mortality was assessed using Cox regression. Results In 4519 person-years of observation, there were 2667 hospital admissions; incidence rate of 59 per 100 person-years. Hospitalization rates were 50–300% higher in this cohort than comparable age and sex strata in the general population. Older age (incidence rate ratio 1.46, 95% confidence interval 1.28–1.65 per 10-year increase) and prior AIDS (incidence rate ratio 1.71, 95% confidence interval 1.24–2.35) were significantly associated with hospitalization. Other predictors of hospitalization included lower CD4 cell counts, higher HIV RNA, longer duration of HIV infection and experience with more drug classes. Lower CD4 cell counts, older age and hepatitis C virus antibody positivity were independently associated with longer hospital stay. Non-AIDS diseases were the principle reason for admission in the majority of cases. Mortality was associated with more frequent hospitalization during the study period. Conclusion Hospitalization rates are higher in people with HIV than the general population in Australia and are associated with markers of advanced HIV disease despite the widespread use of combination antiretroviral therapy.

show abstract

“…A relevant aspect before generalizing accuracy measures presented is the assumption that registers from PLWHA with unknown vital status (that is, in real-world situations) have similar chances of being accurately matched as those used in our analyses [39]. Since we used routine information from public databases to generate the datasets, it seems reasonable to infer that the measures calculated here will also be generalizable to such registries.…”

Section: Discussionmentioning

confidence: 99%

A comparison of accuracy and computational feasibility of two record linkage algorithms in retrieving vital status information from HIV/AIDS patients registered in Brazilian public databases

Paula

Pires²,

Filho³

et al. 2018

International Journal of Medical Informatics

View full text Add to dashboard Cite

show abstract

A feasible method for linkage studies avoiding clerical review: linkage of the national HIV/AIDS surveillance databases with the National Death Index in Australia

Abstract: Objective: To assess the sensitivity

Cited by 9 publications

References 12 publications

Accuracy of a probabilistic record linkage strategy applied to identify deaths among cases reported to the Brazilian AIDS surveillance database

Accuracy of a probabilistic record linkage strategy applied to identify deaths among cases reported to the Brazilian AIDS surveillance database

Hospitalizations in a cohort of HIV patients in Australia, 1999–2007

A comparison of accuracy and computational feasibility of two record linkage algorithms in retrieving vital status information from HIV/AIDS patients registered in Brazilian public databases

Contact Info

Product

Resources

About