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ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2010

Determinants of health care costs of HIV-positive patients in the Canary Islands, Spain.

Juan Oliva-Moreno, Julio López-Bastida, Pedro Serrano-Aguilar, Lilisbeth Perestelo-Pérez

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Determinants of Direct Costs of HIV-1 Outpatient Care in Israel.International journal of environmental research and public health · 2022
    Article
  2. Article
  3. Article
  4. Cost of HIV and determinants of health care costs in HIV-positive patients in Germany: results of the DAGNÄ K3A Study.The European journal of health economics : HEPAC : health economics in prevention and care · 2013
    Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Juan Oliva-MorenoDepartment of Economic Analysis and Finances, University of Castilla la Mancha, Toledo, Spain. Juan.OlivaMoreno@uclm.es
Julio López-Bastida
Pedro Serrano-Aguilar
Lilisbeth Perestelo-Pérez

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aims of this study were to estimate medical expenditures on human immunodeficiency virus (HIV) treatment and to identify significant associated variables. We performed a retrospective multi-centre study in the Canary Islands using a sample of 569 patients recruited at outpatient visits. The study examined demographic and clinical variables, health-related quality of life (HRQOL), and health care resources. Clinical data was obtained from medical records and patient interviews. Several empirical models for identifying the relationship between health care costs and independent variables were developed. The greatest expense came from pharmaceutical expenditure (82.1% of direct costs), while hospital costs only represented 4.6% of total expenditure. The data showed a statistically significant association between health care costs and the CD4 count of the previous year. HRQOL was also a significant variable. Therefore, CD4 cell count can be used to predict health care costs in patients. Policymakers could use this information to help guide their decisions in allocating limited health care resources to HIV treatments.

Indexed as

Health Care CostsAdultCD4 Lymphocyte CountCross-Sectional StudiesFemaleHealth ExpendituresHealth ResourcesHIV InfectionsHumansMaleModels, StatisticalOutpatientsQuality of LifeRegression AnalysisResource AllocationRetrospective Studies

Identifiers

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.