Abstract | BACKGROUND: METHODS: We considered the population of individuals with HIV/ AIDS within a set of linked disease registries and health administrative databases (N = 11,836) from 1996 to 2010. Costs of hospitalization, physician billing, diagnostic testing and non- HAART medications were calculated in 2010 Canadian dollars. Effects of covariates on quarterly costs were assessed with a two-part model with logit for probability of non-zero costs and a generalized linear model (GLM). Net effects of CD4 strata on direct non- HAART medical costs were evaluated over time during the study period. RESULTS: Compared with person-quarters in which CD4 >500/mm(3), costs were Can$185 (95 % confidence interval [CI] 132-239) greater for CD4 350-500/mm(3), Can$441 (95 % CI 366-516) greater for CD4 200-350/mm(3) and Can$1,173 (95 % CI 1,051-1,294) greater when CD4 <200/mm(3). Prior to HIV care initiation, individuals incurred costs Can$385 (95 % CI 283-487) greater than in periods with CD4 >500/mm(3). Hospitalization comprised the majority of the increment in costs amongst those with no measured CD4. Evaluated at CD4 state conditional means, those with CD4 <200/mm(3) incurred quarterly costs of Can$5,781 (95 % CI 4,716-6,846) versus Can$1,307 (95 % CI 1,154-1,460; p < 0.001) for CD4 ≥500/mm(3) in 2010. CONCLUSION: Non- HAART direct medical costs were substantially lower for individuals during periods of sustained virologic suppression and high CD4 count. HIV treatment and prevention evaluations require detailed health resource use data to inform funding allocation decisions.
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Authors | Bohdan Nosyk, Viviane Lima, Guillaume Colley, Benita Yip, Robert S Hogg, Julio S G Montaner |
Journal | PharmacoEconomics
(Pharmacoeconomics)
Vol. 33
Issue 3
Pg. 243-53
(Mar 2015)
ISSN: 1179-2027 [Electronic] New Zealand |
PMID | 25404425
(Publication Type: Journal Article, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't)
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Topics |
- Adult
- British Columbia
- CD4 Lymphocyte Count
- Databases, Factual
- Disease Progression
- Female
- Follow-Up Studies
- HIV Infections
(economics, therapy, virology)
- Health Care Costs
- Health Resources
(economics, statistics & numerical data)
- Hospitalization
(economics, statistics & numerical data)
- Humans
- Linear Models
- Male
- Middle Aged
- Registries
- Time Factors
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