Abstract:Most donors give to help those in need, including HIV-positive donors. Our results establish a baseline from which additional studies can be compared focused on alternate ways to reduce noncompliance and improved messaging to ensure that high-risk potential donors understand the reasons for blood donor screening policies.
“…Subjects of analysis have included blood donor criteria (namely, the MSM criteria), donor perceptions and motivations, as well as comprehension of the PDQ . Nevertheless, some of our findings are consistent with previous studies, such as limited understanding of the window period, and altruistic motives as the primary motivation for blood donation . Moreover, in accordance with our finding that donors conflate and confuse the safety of one's blood (or health) and risk taking, a qualitative study assessed understanding of the American PDQ in the general population and found that all questions were understood, by MSM and non‐MSM alike, “as asking the same thing: that is, ‘is my blood safe to donate?'…”
Section: Discussionsupporting
confidence: 88%
“…To our knowledge, this study is the first to apply a qualitative method to the analysis of social perceptions and motivations of blood donation and within a population of donors found positive for HIV. Nevertheless, some quantitative and semiquantitative studies have been conducted on positive blood donors to explore motivations of blood donations and reasons of risk‐factor nondisclosure . Qualitative research has focused more on target groups such as MSM blood donors, MSM, the general blood donor population, or in the general population .…”
Section: Discussionmentioning
confidence: 99%
“…Concerning opinion of donors on selection criteria, findings widely vary in reported support for the permanent deferral of MSM: Hughes and colleagues reported 38 of 39 MSM participants wishing to modify it to a shorter or more high‐risk‐based deferral (United States), Grenfell and colleagues reported 40% of a general population sample seeing it as inflexible and excessive (United Kingdom), Vahidnia and coworkers reported 90% of participants that did not think blood donor screening policies were unfair. Moreover, Grenfell and colleagues and Custer and colleagues found that at least half of the participants saw a 1‐year deferral as more acceptable, whereas our participants dismissed a 1‐year deferral as equally unacceptable.…”
This study demonstrated the need for more communication on the epidemiologic basis for donor selection criteria and on the window period to facilitate donor compliance. These findings have already advanced improvements to predonation documents, in a larger context of 2016 donor selection criteria revision.
“…Subjects of analysis have included blood donor criteria (namely, the MSM criteria), donor perceptions and motivations, as well as comprehension of the PDQ . Nevertheless, some of our findings are consistent with previous studies, such as limited understanding of the window period, and altruistic motives as the primary motivation for blood donation . Moreover, in accordance with our finding that donors conflate and confuse the safety of one's blood (or health) and risk taking, a qualitative study assessed understanding of the American PDQ in the general population and found that all questions were understood, by MSM and non‐MSM alike, “as asking the same thing: that is, ‘is my blood safe to donate?'…”
Section: Discussionsupporting
confidence: 88%
“…To our knowledge, this study is the first to apply a qualitative method to the analysis of social perceptions and motivations of blood donation and within a population of donors found positive for HIV. Nevertheless, some quantitative and semiquantitative studies have been conducted on positive blood donors to explore motivations of blood donations and reasons of risk‐factor nondisclosure . Qualitative research has focused more on target groups such as MSM blood donors, MSM, the general blood donor population, or in the general population .…”
Section: Discussionmentioning
confidence: 99%
“…Concerning opinion of donors on selection criteria, findings widely vary in reported support for the permanent deferral of MSM: Hughes and colleagues reported 38 of 39 MSM participants wishing to modify it to a shorter or more high‐risk‐based deferral (United States), Grenfell and colleagues reported 40% of a general population sample seeing it as inflexible and excessive (United Kingdom), Vahidnia and coworkers reported 90% of participants that did not think blood donor screening policies were unfair. Moreover, Grenfell and colleagues and Custer and colleagues found that at least half of the participants saw a 1‐year deferral as more acceptable, whereas our participants dismissed a 1‐year deferral as equally unacceptable.…”
This study demonstrated the need for more communication on the epidemiologic basis for donor selection criteria and on the window period to facilitate donor compliance. These findings have already advanced improvements to predonation documents, in a larger context of 2016 donor selection criteria revision.
“…Possible explanations for this include that previously excluded MSM that chose to donate had lower HIV risk than MSM in general, or that public health HIV testing was effective in ensuring most were aware of their status. Other reasons could be: deferrals for other eligibility criteria, that these men self‐assess as low risk correctly and self‐defer, or that altruistic, community‐oriented MSM who want to donate are simply a low‐risk group .…”
Background and Objectives
Eight published studies modelled the impact of changing from a lifetime to time‐limited deferral for men who have sex with men (MSM); each predicted greater risk impact than has been observed. This study uses these previous efforts to develop an ‘optimized’ model to inform future changes to MSM deferrals.
Materials and Methods
HIV residual risk was calculated using observed HIV incidence/prevalence prior to the change in MSM deferral, then with the additional MSM expected under a 12‐month deferral for five compliance scenarios, and finally using data observed after implementation of the deferral. Monte Carlo simulation calculated 95% confidence intervals (CI).
Results
The architecture of reviewed models was sound, and two were selected for combination into the optimized model. HIV risk estimated by this in the UK under MSM lifetime deferral was 0·102 (95% CI: 0·050–0·172) per million. The model predicted from a 27·8% decrease to a 47·6% increase depending upon compliance pre‐implementation of the 12‐month deferral. A decrease of 0·9% was observed post‐implementation. For Canada, HIV risk under a 5‐year deferral was 0·050 (95% CI: 0·00003–0·122) per million. Pre‐implementation of the 12‐month deferral, the model predicted from 30·2% decrease to 10‐fold increase. A decrease of 47·0% was observed after implementation.
Conclusion
The optimized model predicted HIV risk under 12‐month MSM deferral in UK and Canada would remain low, and this was confirmed post‐implementation. While the model is adaptable to other deferral scenarios, improved data quality would improve precision, particularly estimates of incidence in individuals likely to donate.
“…donors in steady partnerships), studies showed that a considerable proportion of infected donors is aware of risk behavior and makes use of the free, sensitive, and confidential testing to check infection status. A study among US donors with sexually transmissible viral infections showed 19% test-seeking donors [24]; in France 56% of HIV-infected donors reported test-seeking motivation [25]. In a German case control study, HIV test seeking behavior was significantly more present in HIV-positive donors than in controls [26].…”
Background: Potential risks for transfusion-transmissible infections are identified by donor history questionnaires (DHQs), and donors with higher risks are deferred from donation. We assessed to which extent the currently used DHQs support the identification of infections among blood donors. Methods: Between 2006 and 2013, we analyzed data from notified HIV and HCV cases in the general population and positive blood donors in Germany. Logistic regressions were used to identify relevant infection risks. We estimated the possible effect of improved capture of risk factors for donor selection by calculation of population attributable fractions (PAF). Results: Risky sexual contacts - MSM as well as heterosexual contacts - were the most prominent infection risks among HIV-infected donors. Whereas MSM contacts were significantly less reported by donors than by cases from the general population, 58% of donors disclosed heterosexual risks compared to 26% of notified cases. The complete identification of heterosexual risk contacts might prevent acceptance of 53% of HIV-infected donors. HCV-infected donors were more likely to report heterosexual exposure, imprisonment, and piercing/tattoo than notified HCV cases. Improved recording of piercing/tattoo could prevent acceptance of 16% of HCV-infected donors. Conclusion: Donor selection should be improved with special attention to the identification of (hetero)sexual risk factors, invasive procedures (piercing/tattoo and imprisonment) applying well-designed DHQs, effective donor education, and confidential environment in all steps of the selection process.
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