Cited by 19HIV/AIDS Research and InterventionsHIV, Drug Use, Sexual RiskCriminal Justice and Corrections Analysis

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

Comparing HIV case detection in prison during opt-in vs. opt-out testing policies.

Open access

Abstract

To the Editors: INTRODUCTION Routine HIV screening in health care settings, including prisons and jails, is recommended by the US Centers for Disease Control and Prevention to enhance the detection of HIV infection.1,2 A centerpiece of this strategy is opt-out HIV screening whereby patients are informed that testing will be conducted unless they decline the test. Although incarceration is considered an opportunity to detect HIV and initiate or restart HIV care,3–6 there are few data describing the performance of an opt-out testing policy in prisons, where HIV prevalence is several-fold that found in the general population.3 In November 2008, the North Carolina Department of Public Safety (NCDPS) Division of Adult Correction changed its HIV screening policy for incoming inmates from opt-in to opt-out testing. At the time of the policy change, we were conducting a HIV seroprevalence study among incoming prisoners.7 The co-occurrence of the change in policy and our seroprevalence study provided a natural experiment to assess the impact of the testing policy on HIV case detection of both newly diagnosed and previously diagnosed cases. METHODS This study was approved by the University of North Carolina Institutional Review Board, the NCDPS Human Subjects Review Committee, and the Office of Human Research Protections at the US Department of Health and Human Services (DHHS). Study Population and Setting All sentenced individuals entering the NCDPS between June 2008 and April 2009 were studied. Entering inmates underwent HIV screening within 2 weeks of prison entry. Before the change in policy (June 1 to October 31, 2008), HIV testing was offered under opt-in conditions, wherein a prison nurse conducted pretest counseling and asked inmates if they wanted to be tested. After the policy change (November 1, 2008 to April 15, 2009), HIV testing was provided in an opt-out manner, in which inmates were informed that they would be tested for HIV unless they declined testing. Data Sources and Linkage To determine whether HIV cases were detected or missed by prison system screening, we linked individual-level records from the prison system's HIV test (referred to hereafter as the Prison Test) and the HIV test we conducted to assess seroprevalence (referred to hereafter as the Study Test), which used excess blood from mandatory syphilis testing.7 We also determined whether incoming prisoners had been previously diagnosed with HIV, documented by NC DHHS record. These testing and diagnosis data were integrated into a single database of all sentenced prisoners during the study period. Before populating the database with results from the Study Test, prisoner identifiers were removed. Statistical Considerations The primary goal of the analysis was to estimate the difference across opt-in and opt-out testing policies in the annual number of cases detected by the prison system. Accordingly, we estimated the risk difference (RD) in case detection across testing policies, RD = probability (case detection|opt-out) – probability (case detection|opt-in). We then multiplied the estimated RD by an estimate of the annual number of HIV cases entering the prison system to estimate the annual difference in the number of cases detected under opt-out as compared with opt-in testing. We also assessed the potential influence on our results of confounding and of missing HIV status data (ie, those missing a Prison HIV Test, Study HIV Test, and with no record of a state diagnosis) using, respectively, multivariable regression models and both multiple imputation and a series of deterministic sensitivity analyses. The primary data analyses were conducted using SAS version 9.2 (Cary, NC). A full description of sensitivity analyses methods are available by request to the corresponding author. RESULTS During the study period, 23,373 sentenced prisoners (10,756 during opt-in and 12,617 during opt-out) entered the NCDPS (Fig. 1). A Study HIV Test was available for 94.7% (n = 22,134) of all incoming prisoners (opt-in: 96.0%, opt-out: 93.6%, P < 0.001). Of the 94.7%, 320 were HIV seropositive. Among the 5.3% (n = 1239) of inmates who were missing a Study HIV Test,7 48 cases were identified by the Prison Test and state record (n = 36) or by state record alone (n = 12). Of the 368 total HIV cases, there were 177 during opt-in and 191 during opt-out, resulting in respective HIV prevalence estimates of 1.7% (95% CI: 1.5 to 1.9) and 1.5% (95% CI: 1.3 to 1.8); these estimates were not statistically different (P = 0.34).FIGURE 1: Prison HIV testing among HIV+ prisoners entering the North Carolina state prison system under opt-in and opt-out testing policies, 2008–2009.HIV Screening and Probability of Case Detection Under Opt-In and Opt-Out Conditions The proportion of entering inmates receiving an HIV test during opt-in, 58.8%, and during opt-out testing, 95.2%, differed significantly (P < 0.001). The estimated probability of detecting a case among those without a

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1097/qai.0000000000000889

Cites

14 of 14 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 14 references

Cited by

Sorted by citations

See all 19

Metadata

Authors
Rosen, D. L., Wohl, D. A., Golin, C. E., Rigdon, J., May, J., White, B. L., Leone, P. A., Hudgens, M. G., & Bowling, J. M.
Affiliations
University of North Carolina at Chapel Hill (US)
Venue
JAIDS Journal of Acquired Immune Deficiency Syndromes
Published
2016-03-01
Volume
71
Issue
3
Pages
e85-e88
ISSN
1525-4135 (ISSN-L)
OpenAlex
W2415988903
Cited by
19
References
14
Citations by year
2024: 1 · 2022: 2 · 2021: 3 · 2020: 2 · 2019: 4 · 2018: 2 · 2017: 4 · 2016: 1
FWCI
1.80
Type
journal article
Language
en
Open access
Locations
  • JAIDS Journal of Acquired Immune Deficiency Syndromes (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institute of Mental Health (R01MH079720, K23MH094250)
  • National Institute on Drug Abuse (K24DA037101)
  • National Institute of Allergy and Infectious Diseases (R01AI116384, P30AI050410)
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development (K24HD069204)
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 › Criminal Justice and Corrections Analysis
Keywords
opt-out HIV testing, prisoners, HIV case detection, HIV seroprevalence, HIV diagnosis, linkage to HIV care, HIV care retention, prison health care, natural experiment, HIV prevention in prisons
MeSH terms
Health Policy, Humans, Mass Screening, Patient Compliance, Prisoners, Prisons, HIV Seroprevalence, HIV Infections

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Comparing HIV case detection in prison during opt-in vs. opt-out testing policies. https://app.cochat.ai/papers/10.1097/qai.0000000000000889
The paper
Rosen, D. L., Wohl, D. A., Golin, C. E., Rigdon, J., May, J., White, B. L., Leone, P. A., Hudgens, M. G., & Bowling, J. M. (2016). Comparing HIV case detection in prison during opt-in vs. opt-out testing policies. JAIDS Journal of Acquired Immune Deficiency Syndromes. https://doi.org/10.1097/qai.0000000000000889