Cost Estimates for Human Immunodeficiency Virus (HIV) Care and Patient Characteristics for Health Resource Use From Linkage of Claims Data With the Swiss HIV Cohort Study.


Journal

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
ISSN: 1537-6591
Titre abrégé: Clin Infect Dis
Pays: United States
ID NLM: 9203213

Informations de publication

Date de publication:
15 02 2019
Historique:
received: 23 01 2018
accepted: 09 07 2018
pubmed: 19 7 2018
medline: 9 4 2020
entrez: 19 7 2018
Statut: ppublish

Résumé

Comprehensive and representative data on resource use are critical for health policy decision making but often lacking for human immunodeficiency virus (HIV) infection. Privacy-preserving probabilistic record linkage of claim and cohort study data may overcome these limitations. Encrypted dates of birth, sex, study center, and antiretroviral therapy (ART) from the Swiss HIV Cohort Study (SHCS) records for 2012 and 2013 were linked by privacy-preserving probabilistic record linkage with claim data from the largest health insurer covering 15% of the Swiss residential population. We modeled predictors for mean annual costs adjusting for censoring and grouped patients by cluster analysis into 3 risk groups for resource use. The matched subsample of 1196 patients from 9326 SHCS and 2355 claim records was representative for all SHCS patients receiving ART. The corrected mean (standard error) total costs in 2012 and 2013 were $30462 ($582) and $30965 ($629) and mainly accrued in ambulatory care for ART (70% of mean costs). The low-risk group for resource use had mean (standard error) annual costs of $26772 ($536) and $26132 ($589) in 2012 and 2013. In the moderate- and high-risk groups, annual costs for 2012 and 2013 were higher by $3526 (95% confidence interval, $1907-$5144) (13%) and $4327 ($2662-$5992) (17%) and $14026 ($8763-$19289) (52%) and $13567 ($8844-$18288) (52%), respectively. In a representative subsample of patients from linkage of SHCS and claim data, ART was the major cost factor, but patient profiling enabled identification of factors related to higher resource use.

Sections du résumé

BACKGROUND
Comprehensive and representative data on resource use are critical for health policy decision making but often lacking for human immunodeficiency virus (HIV) infection. Privacy-preserving probabilistic record linkage of claim and cohort study data may overcome these limitations.
METHODS
Encrypted dates of birth, sex, study center, and antiretroviral therapy (ART) from the Swiss HIV Cohort Study (SHCS) records for 2012 and 2013 were linked by privacy-preserving probabilistic record linkage with claim data from the largest health insurer covering 15% of the Swiss residential population. We modeled predictors for mean annual costs adjusting for censoring and grouped patients by cluster analysis into 3 risk groups for resource use.
RESULTS
The matched subsample of 1196 patients from 9326 SHCS and 2355 claim records was representative for all SHCS patients receiving ART. The corrected mean (standard error) total costs in 2012 and 2013 were $30462 ($582) and $30965 ($629) and mainly accrued in ambulatory care for ART (70% of mean costs). The low-risk group for resource use had mean (standard error) annual costs of $26772 ($536) and $26132 ($589) in 2012 and 2013. In the moderate- and high-risk groups, annual costs for 2012 and 2013 were higher by $3526 (95% confidence interval, $1907-$5144) (13%) and $4327 ($2662-$5992) (17%) and $14026 ($8763-$19289) (52%) and $13567 ($8844-$18288) (52%), respectively.
CONCLUSIONS
In a representative subsample of patients from linkage of SHCS and claim data, ART was the major cost factor, but patient profiling enabled identification of factors related to higher resource use.

Identifiants

pubmed: 30020416
pii: 5055332
doi: 10.1093/cid/ciy564
doi:

Substances chimiques

Anti-HIV Agents 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

827-833

Informations de copyright

© The Author(s) 2018. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.

Auteurs

Selene Leon-Reyes (S)

Basel Institute for Clinical Epidemiology & Biostatistics, University Hospital Basel and University of Basel.

Juliane Schäfer (J)

Basel Institute for Clinical Epidemiology & Biostatistics, University Hospital Basel and University of Basel.

Mathias Früh (M)

Department of Health Sciences, Helsana-Group Zurich, Switzerland.

Matthias Schwenkglenks (M)

Institute of Pharmaceutical Medicine (ECPM), University of Basel, Switzerland.

Oliver Reich (O)

Department of Health Sciences, Helsana-Group Zurich, Switzerland.

Kurt Schmidlin (K)

Institute of Social and Preventive Medicine, University of Bern, Switzerland.

Cornelia Staehelin (C)

Department of Infectious Diseases, Inselspital, Bern University Hospital, University of Bern, Switzerland.

Manuel Battegay (M)

Division of Infectious Diseases and Hospital Epidemiology University Hospital Basel and University of Basel, Switzerland.

Matthias Cavassini (M)

Division of Infectious Diseases, University Hospital Lausanne (CHUV), Switzerland.

Barbara Hasse (B)

Division of Infectious Diseases and Hospital Hygiene, University Hospital and University of Zurich, Switzerland.

Enos Bernasconi (E)

Division of Infectious Diseases, Regional Hospital Lugano, Switzerland.

Alexandra Calmy (A)

Division of Infectious Diseases, University Hospital Geneva, Switzerland.

Matthias Hoffmann (M)

Division of Infectious Diseases, Kantonsspital St. Gallen, Switzerland.

Franziska Schoeni-Affolter (F)

Swiss HIV Cohort Study Data Center, University Hospital and University of Zurich, Switzerland.

Hongwei Zhao (H)

Department of Epidemiology and Biostatistics, School of Public Health, Texas A&M University, College Station.

Heiner C Bucher (HC)

Basel Institute for Clinical Epidemiology & Biostatistics, University Hospital Basel and University of Basel.
Division of Infectious Diseases and Hospital Epidemiology University Hospital Basel and University of Basel, Switzerland.

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