Literature DB >> 29488700

Monitoring HIV-indicator condition guided HIV testing in Estonia.

K Rüütel1, L Lemsalu1, S Lätt2.   

Abstract

OBJECTIVES: The aim of the study was to assess indicator condition (IC) guided HIV testing in Estonia from 2012-2015.
METHODS: We used Estonian Health Insurance Fund (EHIF) data. EHIF is the core purchaser of health care services in Estonia, covering health care costs for insured people (94% of the total population). After health care services' provision, the provider sends an invoice to EHIF, which includes patient information (e.g. age, gender, diagnoses based on ICD-10) and services provided (e.g. what tests were performed).
RESULTS: Among the ICs analysed, the highest proportion of patients tested was among those presenting with infectious mononucleosis-like illness (27-33% of patients) and viral hepatitis (28-32%), the lowest proportion of patients tested was among those presenting with herpes zoster (4-5%) and pneumonia (4-8%). Women were tested somewhat less than men, especially in cases of sexually transmitted infections (9-13% and 18-21%, respectively).
CONCLUSIONS: Our data shows that IC-guided HIV testing rates are low in Estonia. Therefore, it is critical to follow Estonian HIV testing guidelines, which recommend IC-guided testing. In general, health insurance data can be used to monitor IC-guided HIV testing.
© 2018 British HIV Association.

Entities:  

Keywords:  HIV indicator conditions; HIV testing; health insurance data

Mesh:

Year:  2018        PMID: 29488700     DOI: 10.1111/hiv.12586

Source DB:  PubMed          Journal:  HIV Med        ISSN: 1464-2662            Impact factor:   3.180


  3 in total

1.  Current evidence on the adoption of indicator condition guided testing for HIV in western countries: A systematic review and meta-analysis.

Authors:  S J Bogers; S H Hulstein; M F Schim van der Loeff; G J de Bree; P Reiss; J E A M van Bergen; S E Geerlings
Journal:  EClinicalMedicine       Date:  2021-05-08

2.  Missed opportunities for HIV testing in people diagnosed with HIV, Estonia, 2014 to 2015.

Authors:  Kristi Rüütel; Liis Lemsalu; Sirly Lätt; Jevgenia Epštein
Journal:  Euro Surveill       Date:  2019-04

3.  Algorithmic prediction of HIV status using nation-wide electronic registry data.

Authors:  Magnus G Ahlström; Andreas Ronit; Lars Haukali Omland; Søren Vedel; Niels Obel
Journal:  EClinicalMedicine       Date:  2019-11-05
  3 in total

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