Abstract
Background:
In May 2023, the Food and Drug Administration (FDA) released final guidance for blood donor eligibility that recommended elimination of the three-month deferral for men who have sex with men (MSM) and the related deferral for women who have sex with MSM. In its place, FDA introduced an individual risk assessment policy of asking all presenting blood donors, regardless of sex or gender, if they have had a new partner or more than one sexual partner in the last three months and deferring those who also report anal sex (penile-anal intercourse) during this period. We modeled the possible impact of this policy on the U.S. blood donor base.
Study design and methods:
We developed a computational model to estimate the percentage of blood donors who would be deferred under a policy of individual HIV risk assessment. The model incorporated demographic information about donors, national survey data on HIV-risk behaviors, and included age- and sex-distributions and dependencies.
Results:
Our model estimates that approximately 1.2% of U.S. blood donors would be deferred under the individual HIV risk assessment paradigm.
Discussion:
The model predicts a relatively minor effect of replacing the time-based deferral for MSM with individual risk-based deferral for sexual behavior. As U.S. blood centers implement this new policy, the effect may be mitigated by donor gains, which warrant further study. The new policy is unlikely to adversely affect the availability of blood and blood components.
Keywords: blood donor deferral, blood donor loss, sexual partner, modeling, anal sex, MSM deferral, HIV-risk assessment, transfusion
INTRODUCTION
The emergence of AIDS in the early 1980s necessitated changes in United States (U.S.) blood donation policies.1 More than 12,000 people alive in the U.S. in 1987 were estimated to have acquired a transfusion-associated HIV infection between 1978 and 1984.2 Although the extent of the risk was unknown in the early 1980s, FDA and others responsible for U.S. blood safety introduced policies to reduce the risk of HIV transmission by blood and blood products.
The first donor deferral policy was established in 1983, which, based on the limited knowledge and testing technology available at that time, was the only way to reduce the risk of transmitting AIDS through blood transfusion.3 Men who have sex with men (MSM) were identified as having the highest risk for infection. Sexual exposure risk for HIV for both men and women was particularly associated with receptive penile-anal intercourse.4 Throughout this article, penile-anal intercourse and penile-anal sex are referred to as anal sex.
In March 1983, FDA recommended that educational programs be instituted at blood establishments so that those individuals and groups considered to be at high risk for AIDS refrain from donating until testing could be implemented. The educational materials and deferral policies focused on possible sexual risk exposure in MSM and others disproportionately affected by AIDS, including people who exchanged sex for money or drugs, and people who used intravenous drugs.5–7 Beginning in 1985, FDA recommended that blood establishments indefinitely defer male donors who have had sex with another man, even once, since 1977.8 This indefinite deferral for MSM was recommended until 2015.
Although considered to be discriminatory by some, indefinite deferral of MSM reduced the risk of HIV transmission by blood and blood products and saved a significant number of lives, particularly during the 1980s when HIV screening and diagnostic tests had not yet been developed. With the implementation of polices to defer MSM, the estimated risk of receiving an HIV-infected blood product fell from 1.1% in 1982 to 0.2% in 1984.9 Upon implementation of the first HIV antibody donor screening assays in 1985, the estimated risk of receiving HIV-infected blood fell to 0.0025% and then further to approximately 1 in 1.6 million donations following adoption of highly sensitive HIV antibody assays and nucleic acid tests (NAT).10, 11
In response to the improved HIV testing, advances in HIV epidemiology, and results from international experience, FDA recommended a change from indefinite deferral to a one-year deferral policy for MSM in 2015.12 At that time, FDA committed to monitoring the safety of the blood supply using the Transfusion-Transmissible Infections Monitoring System (TTIMS).13,14 Data from TTIMS showed no difference in the overall incidence of HIV among blood donors following the 2015 policy change.11 Based on these data and other factors, in April 2020, FDA further shortened the deferral period for MSM to three months.8 Recent analyses using data from TTIMS reported no difference in the overall incidence of HIV among blood donors following the 2020 policy change.15
While this marked a shift in policy, the approach still focused on a blanket, time-based deferral of MSM based on sexual behavior risk factors for HIV. Whether or not MSM could safely contribute to the blood supply was the subject of several ongoing studies including For the Assessment of Individualised Risk (FAIR) in the United Kingdom (U.K.), 16,17#iCruise in Canada, 18–20and Assessing Donor Variability And New Concepts in Eligibility (ADVANCE) in the U.S. 14
The U.K. and Canada implemented revised blood donor deferral policies based on individual risk in 2021 and 2022, respectively.21,22 In 2023, based on the experiences of individual risk assessment from other countries, data from TTIMS, preliminary findings from the ADVANCE study, and the sensitivity of HIV NAT for donor screening, FDA recommended eliminating the screening questions specific to MSM and women who have sex with MSM. In final guidance issued in May 2023, FDA recommended replacing time-based deferrals for MSM with an individual risk-based assessment for all donors, regardless of sex or gender.23 Under the individual risk assessment approach, all donors who report having a new sexual partner or more than one sexual partner in the past three months would be asked about a history of anal sex in the past three months; donors who answer both questions affirmatively are deferred from donation for a minimum of three months. The final guidance also recommended deferral of individuals taking medications to treat or prevent HIV infection (e.g., antiretroviral therapy, pre-exposure prophylaxis (PrEP), and post-exposure prophylaxis (PEP)). The recommendations contained in the guidance apply to the collection of blood and blood components, including Source Plasma (SP).
Herein, we describe the development of a computational model to estimate the impact on U.S. blood donor deferrals of the change in policy from a three-month deferral specific to MSM, to an individual risk assessment applicable to all donors, regardless of sex, gender, or sexual orientation.
STUDY DESIGN AND METHODS
We conducted two independent analyses. The first analysis included blood donor deferral modeling which incorporated the published information available about donors and sexual behaviors. The second analysis used the 2022 U.S. National Survey of Sexual Health and Behavior (NSSHB) data that was designed to address the specific sexual behavior questions among participants with a history of blood donation. The flow of our analyses is described in Figure 1. The data sources, data treatment, and computational approaches are explained below.
Figure 1:
Donor Individual Risk Algorithm and Key Data Sources. TTIMS, Transfusion-Transmissible Infections Monitoring System; NHANES, National Health and Nutrition Examination Survey; NSSHB, National Survey of Sexual Health and Behavior
Analysis 1
Because HIV risk behaviors vary by age and sex, we obtained 2021 blood donor data by age and sex from the TTIMS program (Ed Notari, personal communication, 2022), a representative 60% sample of the U.S. blood supply (Figure 2). 24 This data set was used to model the age and sex distributions of blood donors for both Analysis 1 and 2.
Figure 2:
Numbers of donors by age and sex from the TTIMS program, which represents approximately 60% of the blood supply. TTIMS, Transfusion-Transmissible Infections Monitoring System
In our model, a blood donor had to have reported both sexual partner(s) risk and anal sex in the past three months to be considered deferred. Our team and an FDA staff librarian performed a literature search on U.S. sexual behaviors and an internet query for organizations with relevant information or survey data. The literature searches and discussions with experts identified over 50 articles and three national surveys on sexual behavior in the U.S. which we reviewed for relevance and inclusion in the computational model. However, none of these studies provided precise data for the behaviors of concern for the three-month timeframe, precluding them from being used directly to quantify risk.
Given this data gap, and assuming an independent relationship between the risk factors, and extrapolations for the timeframe of interest, we developed an initial computational model to extrapolate and incorporate independent information about donor and sexual behaviors, from different sources, including their age- and sex-distributions and dependencies. We processed the published information into distribution forms, when possible, to include the uncertainty for each input.
The National Health and Nutrition Examination Survey (NHANES)25 captures data for sexual behavior in the U.S. population, including new sexual partners (defined as “persons that one never had sex with before”) and numbers of partners. However, the survey reports behavior from the past year as opposed to the last three months. To estimate the three-month risk, we assumed the twelve-month risk derived from NHANES was evenly distributed over the year, (e.g., an individual has had multiple partners in the past three months if this individual had four or more partners in the past year). For an individual with fewer than four partners but having new partner(s) in the past year, we assumed a 25% chance of having had a new partner in the past three months. Applying this algorithm to the 2015–2016 NHANES survey data, we extrapolated the chance of having new or multiple partners in the past three months for men and women aged 18–59 years old (unweighted sample sizes are 1655 and 1764, respectively).
As the TTIMS donor data (Figure 2) and data on anal sex from NSSHB 2009 have a wider age range than the NHANES survey data, we made additional assumptions to account for the donor age groups 16 to 17 years and ‘ages 60 and above’ that were not surveyed by NHANES (Figure 3). To be conservative, we assumed the chance of having new or multiple partners for ages 16–17 the same as for 18–19 year-olds. Similarly, we assigned those over 60 years the same frequencies as the 50–59 year-olds.
Figure 3:
Mean Proportion of Having New or Multiple Sexual Partners for Men and Women in the U.S. by Age, Based on NHANES (2015–2016).
Frequency of anal sex was estimated using the summarized results from the 2009 NSSHB.26 While there were multiple, similar surveys over the years, this study provided an adequate sample size, age range and distribution, and known confidence intervals (CI) for each value. Recent (past month, year) and lifetime prevalence of sexual behaviors were reported in a nationally representative probability sample of 5865 individuals aged 14 to 94. The data were reported for men and women by the following age groups: 14–15, 16–17, 18–19, 20–24, 25–29, 30–39, 40–49, 50–59, 60–69, and 70 years and above. We applied the same age group breakdown for the model except for 14–15-year-olds, who are not eligible for blood donation. No data for anal sex for the interval of the past three months were available in this study or other prior U.S. national studies. Therefore, we estimated the possible value for the three-month period based on data for the past year as described above. Both insertive and receptive anal sex were reported for men in this study. To be conservative, the model overestimated future deferrals and used the sum of both insertive and receptive sex for men in the past year, despite an overlap between the groups where a portion of men may already be deferred under the old policy and our model estimates new deferrals. Although the measures were conservative, we did not expect an excessive overestimation because people with multiple partners tend to have a significantly greater proportion of anal sex than those with one partner 26 and the anal sex rates in NSSHB 2009 data were overall rates for all survey participants.
Analysis 2
To address the specific data gap and in collaboration with the Indiana University researchers responsible for the NSSHB, the relevant sexual behavior questions and the timeframe of interest (three months) were included in the NSSHB study to be conducted in late 2022. NSSHB is an ongoing study of thousands of individuals, supported in 2022 through NICHD (Grant number R01HD102535). Questions about blood donation (current, past, never) were also added to this survey to further identify the targeted donor group. We performed this separate analysis using the 2022 NSSHB data that provided the direct results for the specific sexual behavior questions in the past 3 months among the participants with history of blood donation. The new model estimates were compared to those based on data from the published surveys identified in our literature search.
The NSSHB 2022 study by the Indiana University team incorporated nested questions about the past three months of sexual behaviors and blood donation history into the questionnaire. The results of the NSSHB 2022 were compiled in 2023 and used to generate separate model estimates to compare with those based on the previously published data described earlier. Data were weighted to account for any differential non-response using an iterative proportional fitting procedure and benchmarks from the latest Current Population Survey. 27
Statistical software
Monte Carlo simulations and visualizations were performed using @Risk software (version 8, Palisade Corporation) and R programming language (Version 4.2.2. http://www.r-project.org) to incorporate input uncertainties and generate statistical distributions of risk outcomes.
RESULTS
Model inputs
We performed two analyses, the first using the published survey results identified in the literature search, and the second using the NSSHB data collected in 2022.
For the first analysis, with the assumptions and extrapolations described in the Methods, we were able to estimate the mean proportions of having new or multiple partners for men and/or women by age groups based on NHANES data (Figure 3). With the mean proportions and sample size for each age group, we then used a binomial distribution to incorporate the mean estimate and its uncertainty into the model simulation. For the anal sex variable in the model, we converted the data from the 2009 NSSHB study into model input distributions by fitting them with a PERT distribution, a modified version of the Beta distribution defined by 3 parameters, to demonstrate rates in the past year for men and women (Figure 4).
Figure 4:
Input Distributions for Anal Sex Rates in the Past Year for Men and Women in the U.S. by Age Based on NSSHB (2009).
For the second analysis, unpublished survey results of NSSHB 2022 based on 4528 individuals with a self-reported history of blood donation were examined and proper grouping and stratification were determined. Due to smaller sample sizes in younger age groups, we combined data of men and women and some age groups (Table 1). The mean proportion of donors that would be deferred for each age group was estimated and is shown in Figure 5.
Table 1.
Rates of HIV-Risk Behaviors Among Participants in the 2022 National Survey of Sexual Health and Behavior (NSSHB) With A History of Blood Donation, by Age Group
| Age group (years) | |||||||
|---|---|---|---|---|---|---|---|
|
| |||||||
| Behavior last 3 months | 16–24 (N=133) | 25–29 (N=226) | 30–39 (N=623) | 40–49 (N=711) | 50–59 (N=872) | 60–69 (N=1024) | 70+ (N=939) |
| 2+ sex partners | |||||||
| 7.9% | 6.4% | 6.6% | 7.3% | 2.8% | 2.5% | 0.8% | |
| − Of those with 2+ partners, proportion who had anal sex | 3.7% | 32.5% | 29.3% | 37.5% | 18.1% | 12.3% | 6.4% |
| 1 new sexual partner* | 2.3% | 2.8% | 2.9% | 1.5% | 1.0% | 0.5% | 0.7% |
| − Of those with 1 new partner, proportion who had anal sex | 0.0% | 8.6% | 27.4% | 0.0% | 1.5% | 31.4% | 14.2% |
A new partner refers to a person that one never had sex with before.
Data from men and women were combined for each age group. Data were weighted to account for any differential non-response using an iterative proportional fitting procedure and demographic benchmarks from the latest current population survey. Rates are presented as weighted percentages; NSSHB, National Survey of Sexual Health and Behavior.
Figure 5:
Estimated Mean Percent Donor Deferred Based on NSSHB (2022). The mean proportion of donors that would be deferred for each age group was estimated. NSSHB, National Survey of Sexual Health and Behavior
Model estimates
Probabilistic models incorporating the TTIMS blood donor data and the input distributions of sexual behaviors (as mentioned above) were developed to estimate the percent donor deferral and its uncertainties under the individual HIV sexual risk-behavior donor deferral policy. Both analyses, either based on published data or the new NSSHB 2022 data, generated the same mean value of 1.2% for the overall percentage of U.S. donors who would be deferred, with slightly different but overlapping CIs (Table 2 and Figure 6).
Table 2.
Estimated Mean Rates of Individual HIV-Risk Behavior and Donor Deferral (including both sexes), by Source of Data
| Estimated Mean Percentage (2.5th %ile-97.5th %ile) | ||
|---|---|---|
|
| ||
| Parameter | Analysis 1: TTIMS (2021), NHANES (2015–2016) and NSSHB (2009) | Analysis 2: TTIMS (2021) and NSSHB (2022) |
| New or multiple partners, past 3 months | 6.4% (5.8%−7.1%) | 6.3% (5.4%−7.2%) |
| Anal sex, past 3 months | 18.1% (16.8%−19.4%) | 19.9% (15.3%−25.0%) |
| Donor deferral | 1.2% (1.0%−1.3%) | 1.2% (0.9%−1.6%) |
NHANES; National Health and Nutrition Examination Survey; NSSHB; National Survey of Sexual Health and Behavior; TTIMS, Transfusion-Transmissible Infections Monitoring System
Figure 6:
Probability Distributions of Donor Deferral Estimates for the U.S. TTIMS blood donor data and the input distributions of sexual behaviors were used to estimate the percent donor deferral and its uncertainties under the individual HIV sexual risk-behavior donor deferral policy. Mean value (1.2%) of deferred donors estimated from using TTIMS (2021), NHANES (2015–2016), and NSSHB (2009) data was the same as that estimated from using the TTIMS (2021) and NSSHB (2022) data. TTIMS, Transfusion-Transmissible Infections Monitoring System; NHANES, National Health and Nutrition Examination Survey; NSSHB, National Survey of Sexual Health and Behavior
Table 2 also shows the model estimates for the overall proportions of sexual behaviors. In addition to the donor deferral, the estimated proportions of new or multiple partners (just above 6%) and anal sex rates (close to 20%) are also highly consistent between the two analyses. These side-by-side comparisons with diverse data sources further verified the assumptions, methods, and the robustness of the models. The results may shed light on other sexual behavior risk related research.
DISCUSSION
We modeled the effect of a new blood donor eligibility policy to address the concern that an increase in donor deferrals could impact the availability of U.S. donor blood for transfusion. Our estimate of a 1.2% increase in donor deferrals due to individual HIV risk assessment is unlikely to result in blood shortages. This estimate is slightly higher than the Canadian Blood Service’s estimate of 0.7% of donors that would be deferred using the same behavior-based screening questions.21 The difference may be attributable to a lower reported rate of anal sex during the past three months among Canadian donors (10%) than U.S. donors (18.1% and 19.9% for Analyses 1 and 2, respectively). However, the finding that 17% of Canadian donors were uncomfortable with questions about anal sex is suggestive of underreporting. 21
In 2003, a model of the impact of changing the indefinite deferral for MSM to a 12-month deferral period predicted an 1.3% increase in the number of donations in Canada.28 Although we did not model the potential increase in blood donors as a result of the change to individual HIV risk assessment, it is possible that the predicted increase in donor deferrals may be offset by an increase in eligible donors who perceive the new policy to be more inclusive.
Previous estimates of donor loss due to changes in donor eligibility criteria were shown to be higher than actual deferrals. For example, following the FDA’s recommendations in 1999 of travel deferrals to prevent potential transmission of variant Creutzfeldt-Jakob disease, the estimated deferral rate based on a donor survey (3.5%) was higher than the actual deferral rate at the same blood centers (1.6%). 29,30 FDA eliminated the vCJD deferrals in 2022 because of the available data on the absence of cases in the US and worldwide and modeling on the potential risk.
TTIMS closely monitors the incidence and prevalence of relevant transfusion-transmissible infections, (i.e., HIV, syphilis, hepatitis B and C) in blood donations and is used to evaluate changes in rates after policy updates. TTIMS will be used to monitor the impact of the individual risk assessment going forward.13 The FDA’s final guidance (May 2023) has revised recommendations for evaluating HIV blood donor risk using individual risk-based questions relevant to HIV risk. It is supported by scientific data, including the epidemiology of HIV infection, the performance of the HIV donor screening tests,19 the experiences in the U.K. and Canada, and the preliminary findings of the ADVANCE Study.14
There are limitations to the model. For Analysis 1, the available data did not provide direct statistics for proportions of the U.S. population that have had new or multiple sexual partners and anal sex in the past three months. The independent relationship between risk behaviors is a simplified method and can only be verified upon availability of such data, underscoring the need for ongoing public health surveillance surveys related to sexual behavior. In Analysis 2, we provided such a validation by collecting data based on nested questions for querying the past three months of sexual behaviors. However, we had to combine data from men and women from all age groups to minimize the impact of smaller sample sizes.
Our blood donor data were based on the most recent data from TTIMS (2021) which incorporated the three-month MSM deferral (Ed Notari, personal communication, May 2022). To verify whether the demographics used were reproducible and not affected by the on-going COVID-19 pandemic, we verified our 2021 estimates by comparing with pre-pandemic (2019) data from TTIMS when there was a 12-month MSM deferral policy in place and the donor demographics were similar (personal communication, Ed Notari, May 2022).
We also performed a preliminary analysis of the donor deferral amongst U.S. Source Plasma (SP) donors using demographic data from Rosa-Bray et al., 202231 instead of data from TTIMS. To convert the slightly different age grouping in the population to our designed grouping, we assumed uniform distribution of donors in each age group and redivided them. We estimate that approximately 2% of SP donors would potentially be deferred under the individual risk-based deferral policy, consistent with the younger age demographic of these donors. Further analyses with more comprehensive data for SP donors are warranted.
Despite the limitations, this analysis presents an assessment for U.S. donor HIV-risk sexual behavior deferral with a change to an individual risk-based deferral policy based on the most relevant U.S. data available. The model estimates a small increase in donor deferrals that is consistent across analyses using diverse data sources. The FDA will continue to closely monitor the donor blood supply, via TTIMS and other systems, to ensure maintenance of a safe and sustainable supply of donor blood.
ACKNOWLEDGEMENTS
The authors would like to acknowledge the valuable technical assistance of the FDA librarians, Joyce C. Kitzmiller, MLS, and Lynne Finister, MSLS; the review and design of graphics and figures by Dr. Marisabel Rodriquez Messan; and the editorial assistance of Kelly Stimpert, Dr. Monika Deshpande, and Ellen Wertheimer, medical writers.
Funding:
Research reported in this publication (the 2022 National Survey of Sexual Health and Behavior) was supported by the Eunice Kennedy Shriver National Institute of Child Health & Human Development of the National Institutes of Health under Award Number R01HD102535 (MPIs Herbenick and Fu). Research from the Transfusion-Transmissible Infections Monitoring System (TTIMS) was funded under FDA Contract 75F40120C00101.
Footnotes
Disclaimer:
The content of this article is solely the responsibility of the authors and does not represent the views or the policies of the U.S. Food and Drug Administration or the National Institutes of Health.
Conflict of interest:
No conflict of interest declared.
REFERENCES
- 1.Institute of Medicine Committee to Study HIV Transmission Through Blood. HIV and the Blood Supply: An Analysis of Crisis Decisionmaking. In: Leveton LB, Sox HC Jr., Stoto MA, eds. HIV and the Blood Supply: An Analysis of Crisis Decisionmaking. Washington (DC): National Academies Press (US), 1995. [PubMed] [Google Scholar]
- 2.CDC. Human immunodeficiency virus infection in transfusion recipients and their family members. MMWR Morb Mortal Wkly Rep 1987;36: 137–40. [PubMed] [Google Scholar]
- 3.CDC. Possible transfusion-associated acquired immune deficiency syndrome (AIDS) - California . MMWR Morb Mortal Wkly Rep 1982;31: 652–4. [PubMed] [Google Scholar]
- 4.CDC. Update: revised Public Health Service definition of persons who should refrain from donating blood and plasma--United States. MMWR Morb Mortal Wkly Rep 1985;34: 547–8. [PubMed] [Google Scholar]
- 5.FDA. Recommendations to Decrease the Risk of Transmitting Acquired Immune Deficiency Syndrome (AIDS) from Blood Donors, March 24, 1983. [Google Scholar]
- 6.Centers for Disease C. Prevention of acquired immune deficiency syndrome (AIDS): report of inter-agency recommendations. MMWR Morb Mortal Wkly Rep 1983;32: 101–3. [PubMed] [Google Scholar]
- 7.Leveton LB, Sox HC, Stoto MA. HIV and the blood supply: An analysis of crisis decisionmaking - Executive summary (Reprinted from HIV and the Blood Supply: An Analysis of Crisis Decision-Making, 1995). Transfusion 1996;36: 919–27. [DOI] [PubMed] [Google Scholar]
- 8.FDA. Revised Recommendations for Reducing the Risk of Human Immunodeficiency Virus Transmission by Blood and Blood Products, Guidance for Industry, April 2020. [Google Scholar]
- 9.Busch MP, Young MJ, Samson SM, Mosley JW, Ward JW, Perkins HA. Risk of human immunodeficiency virus (HIV) transmission by blood transfusions before the implementation of HIV-1 antibody screening. The Transfusion Safety Study Group. Transfusion 1991;31: 4–11. [DOI] [PubMed] [Google Scholar]
- 10.Zou S, Stramer SL, Dodd RY. Donor testing and risk: current prevalence, incidence, and residual risk of transfusion-transmissible agents in US allogeneic donations. Transfus Med Rev 2012;26: 119–28. [DOI] [PubMed] [Google Scholar]
- 11.Steele WR, Dodd RY, Notari EP, Haynes J, Anderson SA, Williams AE, Reik R, Kessler D, Custer B, Stramer SL. HIV, HCV, and HBV incidence and residual risk in US blood donors before and after implementation of the 12-month deferral policy for men who have sex with men. Transfusion 2021;61: 839–50. [DOI] [PubMed] [Google Scholar]
- 12.FDA. Revised Recommendations for Reducing the Risk of Human Immunodeficiency Virus Transmission by Blood and Blood Products; Guidance for Industry, December 2015.: Federal Register:79913–5. [Google Scholar]
- 13.Custer B, Stramer SL, Glynn S, Williams AE, Anderson SA. Transfusion-transmissible infection monitoring system: a tool to monitor changes in blood safety. Transfusion 2016;56: 1499–502. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Custer B, Whitaker BI, Pollack LM, Buccheri R, Bruhn RL, Crowder LA, Stramer SL, Reik RA, Pandey S, Stone M, Di Germanio C, Buchacz K, Eder AF, Lu Y, Forshee RA, Anderson SA, Marks PW. HIV risk behavior profiles among men who have sex with men interested in donating blood: Findings from the Assessing Donor Variability and New Concepts in Eligibility study. Transfusion 2023;63: 1872–84. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Notari EP. Transfusion Transmissible Infections Monitoring System (TTIMS): tools to assess the safety of the blood supply over time. Presented at the Annual Meeting of the Association for the Advancement of Blood and Biotherapies, October 14, 2023. [Google Scholar]
- 16.Brailsford SR, Kelly D, Kohli H, Slowther A, Watkins NA. Who should donate blood? Policy decisions on donor deferral criteria should protect recipients and be fair to donors. Transfus Med 2015;25: 234–8. [DOI] [PubMed] [Google Scholar]
- 17.NHS. Blood donor selection policy: More people now able to give blood, 2021. [Google Scholar]
- 18.Armstrong JP, Brennan DJ, Collict D, Kesler M, Bekele T, Souleymanov R, Grace D, Lachowsky NJ, Hart TA, Adam BD. A mixed methods investigation of the relationship between blood donor policy, interest in donation, and willingness to donate among gay, bisexual, and other men who have sex with men in Ontario, Canada. BMC Public Health 2022;22: 849. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Brennan DJ, Armstrong J, Kesler M, Bekele T, Lachowsky NJ, Grace D, Hart TA, Souleymanov R, Adam BD. Willingness and eligibility to donate blood under 12-month and 3-month deferral policies among gay, bisexual, and other men who have sex with men in Ontario, Canada. PLOS Glob Public Health 2023;3: e0001380. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Canadian Blood Services. Sexual behaviour-based screening [monograph on the internet]. 2022. Available from: https://www.blood.ca/en/blood/am-i-eligible-donate-blood/sexual-behaviour-based-screening
- 21.Caffrey N, Goldman M, Lewin A, Osmond L, O’Brien SF. Behaviour based screening questions and potential donation loss using the “for the assessment of individualised risk” screening criteria: A Canadian perspective. Transfus Med 2022;32: 422–7. [DOI] [PubMed] [Google Scholar]
- 22.Health Canada. Health Canada authorizes Canadian Blood Services’ submission to eliminate donor deferral period for men who have sex with men. Ottawa, ON, 2022. [Google Scholar]
- 23.FDA. Recommendations for Evaluating Donor Eligibility Using Individual Risk-Based Questions to Reduce the Risk of Human Immunodeficiency Virus Transmission by Blood and Blood Products, Guidance for Industry, May 2023. [Google Scholar]
- 24.Dodd RY, Notari EP, Nelson D, Foster GA, Krysztof DE, Kaidarova Z, Milan-Benson L, Kessler DA, Shaz BH, Vahidnia F, Custer B, Stramer SL. Development of a multisystem surveillance database for transfusion-transmitted infections among blood donors in the United States. Transfusion 2016;56: 2781–9. [DOI] [PubMed] [Google Scholar]
- 25.CDC. NHANES Questionnaires, Datasets, and Related Documentation, 2003.
- 26.Herbenick D, Reece M, Schick V, Sanders SA, Dodge B, Fortenberry JD. Sexual behavior in the United States: results from a national probability sample of men and women ages 14–94. J Sex Med 2010;7 Suppl 5: 255–65. [DOI] [PubMed] [Google Scholar]
- 27.U.S. Census Bureau. Current Population Survey (CPS) [monograph on the internet]. 2023. Available from: https://www.census.gov/programs-surveys/cps.html
- 28.Germain M, Remis RS, Delage G. The risks and benefits of accepting men who have had sex with men as blood donors. Transfusion 2003;43: 25–33. [DOI] [PubMed] [Google Scholar]
- 29.Murphy EL, David Connor J, McEvoy P, Hirschler N, Busch MP, Roberts P, Nguyen KA, Reich P. Estimating blood donor loss due to the variant CJD travel deferral. Transfusion 2004;44: 645–50. [DOI] [PubMed] [Google Scholar]
- 30.Yang H, Huang Y, Gregori L, Asher DM, Bui T, Forshee RA, Anderson SA. Geographic exposure risk of variant Creutzfeldt-Jakob disease in US blood donors: a risk-ranking model to evaluate alternative donor-deferral policies. Transfusion 2017;57: 924–32. [DOI] [PubMed] [Google Scholar]
- 31.Rosa-Bray M, Bounpheng MA, Wisdom C, Gierman T, Becker M, Crookston KP. A Retrospective Study Establishing Pre-Pandemic Demographic Baselines for United States Source Plasma Donors. Plasmatology 2022;16: 26348535221129221. [Google Scholar]






