Cited by 5HIV/AIDS Research and InterventionsHIV, Drug Use, Sexual RiskSurvey Methodology and Nonresponse

Anonymous HIV Testing With Participant-Controlled Access to Results Using Handheld Computers: A New Model of HIV Testing Used in a Household Survey in Rural South Africa

Welz, Tanya, Herbst, Kobus·2008·Sexually Transmitted Diseases

Abstract

ANONYMOUS HUMAN IMMUNODEFICIENCY VIRUS (HIV) surveys aim to provide unbiased estimates of HIV prevalence and are essential for monitoring the burden of HIV in a population. However, anonymous HIV surveys allow only limited linkage with risk factor data and do not allow participants to be informed of their HIV results.1 This is an important disadvantage in the face of evidence of individual and public health benefits of knowing one’s HIV status and the increasing availability of antiretroviral therapy worldwide.2–4 In accordance with ethical guidelines,5–7 anonymous HIV surveys usually refer participants to voluntary counseling and testing (VCT) services where these exist or else set up parallel VCT systems.8,9 This means that participants who wish to know their HIV status need to be bled and tested twice. Acceptance rates for such repeat VCT are not known. The World Health Organization (WHO) has recently called for initiatives to increase access to innovative, ethical, and practical models of HIV testing and counseling.10 We devised a novel approach to anonymous HIV testing which used handheld computer and encryption technology to allow participants in an HIV sero-survey to confidentially access their results. We describe this system of ‘Linked Anonymous Testing with Participant-controlled Results’ (LATPCR) and its operational use in a very large household HIV survey in rural South Africa. The Africa Centre Demographic Information System in the rural district of Umkhanyakude, kwaZulu-Natal, South Africa, has been collecting demographic data from approximately 12,000 households since 2000.11 Fieldworkers visit every household in a circumscribed study area of 435 km2 twice yearly to update sociodemographic and HIV risk factor data on the total resident population of 86,000 Zulu-speaking people (in June 2003). Approximately 60% of the population live in scattered homesteads in deep rural areas with a population density below 400 people per square kilometer.11 This is an area of very high HIV prevalence with rates of 38% reported amongst antenatal clinic attendees.12 Antiretroviral treatment (ART) was not available in the public sector in South Africa until October 2004. By December 2004, 56 patients were receiving ART in district health facilities (personal communication, Graham Cooke, Africa Centre for Health and Population Studies, 15 May 2007). The HIV survey took place between June 2003 and December 2004 and has been described in detail elsewhere.13 Ethical approval was obtained from the research ethics committee of the Nelson Mandela School of Medicine, Durban. In addition to the routine collection of demographic data, fieldworkers visiting households also approached every adult male (15–54 years) and female (15–49 years) resident in the study area for HIV testing. Written, informed consent was obtained for HIV testing. Eligible participants received detailed verbal and written pretest information. This included information on what an HIV test is, the implications of a positive result, benefits and disadvantages of knowing one’s HIV status, and strategies to reduce risk. It was explained that participants who wanted to could confidentially obtain their HIV results by presenting a unique code at any of the 19 community-based counseling centers. Counseling centers were offices set up for this purpose throughout the study area in community venues such as shops. Lay counselors staffing these centers were also trained to provide health education, weight, and blood pressure checks.14 HIV tests were done on finger-prick dried blood spot samples in accordance with UNAIDS/WHO guidelines.15 HIV serology was determined by antibody testing with a broad based HIV-1/HIV-2 enzyme-linked immunosorbent assay (Vironostika, Organon Teknika, Boxtel, Netherlands) followed by a confirmatory enzyme-linked immunosorbent assay (GAC-ELISA, Abbott, Abbott Park, IL). Samples were collected from the field every 1 to 2 days and transported to the Wellcome Trust Africa Centre laboratory at the Nelson Mandela School of Medicine in Durban, 250 km away. Each individual in the study area was assigned an alphanumeric identification number (ID), linked to his name, sex, and date of birth (Fig. 1). A separate, highly protected data table linked each individual’s ID to a pseudo-ID. Each individual’s pseudo-ID replaced his ID in the study database and could not be linked back to any identifying data except by the senior data manager. This process of ‘pseudonymization’ or ‘reversible anonymization’ always maps a given ID with the same pseudo-ID, thereby protecting participants’ identities whilst linking data from the same person irrespective of the collection time and place.16 The need to retain some linkage with individual identifiers is unavoidable in longitudinal studies where it is necessary to verify a participant’s identity at each contact.Fig. 1: Reversible anonymization of individual data in the ACDIS database.We used public-private key

Integrity signals

Registry

Crossref · 10.1097/olq.0b013e31815fd3fc

Cites

31 of 31 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

1 of the 32 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Welz, T., & Herbst, K.
Affiliations
University of KwaZulu-Natal (ZA)
Corresponding author
  • Welz, Tanya
  • Herbst, Kobus
Venue
Sexually Transmitted Diseases
Published
2008-04
Volume
35
Issue
4
Pages
372-376
ISSN
0148-5717 (ISSN-L)
OpenAlex
W1980972132
Cited by
5
References
32
Citations by year
2013: 4
FWCI
0.21
Type
journal article
Language
en
Open access
closed
Locations
  • Sexually Transmitted Diseases (publishedVersion)
  • PubMed (publishedVersion)
Funders
Wellcome Trust
Topics
  • Health Sciences › Medicine › Infectious Diseases › HIV/AIDS Research and Interventions
  • Health Sciences › Medicine › Epidemiology › HIV, Drug Use, Sexual Risk
  • Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
Keywords
anonymous HIV testing, personal digital assistants, encryption, HIV counseling and testing, HIV prevalence estimation, uMkhanyakude, KwaZulu-Natal, HIV risk factors, informed consent, voluntary counseling and testing, antiretroviral therapy
MeSH terms
Adolescent, Adult, Confidentiality, Counseling, Family Characteristics, Female, Health Services, Health Services Accessibility, Humans, Male, Middle Aged, Rural Population, South Africa, AIDS Serodiagnosis, HIV Infections, Health Care Surveys, Computers, Handheld, Anonymous Testing

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review