Dataset Information

Opt-out bloodborne virus screening: a cross-sectional observational study in an acute medical unit.

ABSTRACT:

Objective

Recent treatment developments for HIV, hepatitis C virus (HCV) and hepatitis B virus (HBV) have greatly improved prognoses. Current screening practices are mainly risk based and are suboptimal. Improved efforts are critically needed to identify persons with these viruses. The aims of this study were to assess the feasibility of an opt-out bloodborne virus (BBV) screening programme in an acute medical unit (AMU) and to describe the prevalence of HIV, HBV and HCV in this population.

Design and setting

This was a cross-sectional observational study in the AMU of a tertiary referral hospital in Galway, a city in the west of Ireland.

Participants

1936 patients entered the study; 54% were male, mean age was 53.1 years (SD 19.6). During the study period, all patients attending the AMU aged ?16 years who were having bloods drawn and who had the ability to verbally consent for an additional blood sample met the inclusion criteria for the study.

Results

Over 44 weeks, 1936/4793 (40.4%) patients consented to BBV panel testing. Diagnosed prevalence rates for HIV, HBV and HCV were 0.5/1000, 2/1000 and 1.5/1000, respectively. There was one HIV-positive result; the patient was already engaged in care. Four patients tested positive for HBV surface antigen; one new diagnosis, one previously lost to follow-up and two already engaged in care. Three patients had active HCV infection; two had been lost to follow-up and are now linked back into services.

Conclusion

BBV testing uptake of 40.4% is higher than previous studies in AMU settings that used opt-in strategies, but lower than expected, possibly due to not incorporating testing into routine practice. The diagnosed prevalence of HBV is notable as little data currently exist about its prevalence in Ireland. These data are valuable in order to inform further prevention strategies for these infections in low-prevalence settings.

SUBMITTER: Allen N

PROVIDER: S-EPMC6661585 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

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Publications

Opt-out bloodborne virus screening: a cross-sectional observational study in an acute medical unit.

Allen Niamh N Faherty Collette C Davies Andre A Lyons Anne A Scarry Margarent M Bohan Keane Mary M Boyle Nicola N O'Connell Sarah S McCarthy Eithne E Keady Deirbhile D Bergin Colm C Lee John J Fleming Catherine C Gallagher David D Tuite Helen H

BMJ open 20190716 7

<h4>Objective</h4>Recent treatment developments for HIV, hepatitis C virus (HCV) and hepatitis B virus (HBV) have greatly improved prognoses. Current screening practices are mainly risk based and are suboptimal. Improved efforts are critically needed to identify persons with these viruses. The aims of this study were to assess the feasibility of an opt-out bloodborne virus (BBV) screening programme in an acute medical unit (AMU) and to describe the prevalence of HIV, HBV and HCV in this populati ...[more]

PMID: 31315851

Similar Datasets

Project description:ObjectivesTo determine the prevalence of undiagnosed hepatitis C virus (HCV) and HIV cases in a population sample tested in the emergency room (ER) and to evaluate linkage-to-care.SettingCanadian university hospital.ParticipantsAdults born after 1945 who consulted at ER for any condition and on any shift were included. Patients unable to opt-out were excluded.InterventionsER nurse confirmed patients' eligibility and provided them with the option to opt-out. A physician met patients with a new diagnosis. Linkage-to-care was assessed 3 months postdiagnosis. Patients newly diagnosed with HCV were considered linked if they had an HCV RNA test, genotype, liver fibrosis evaluation, and if indicated, treatment prescription. Patients newly diagnosed with HIV were considered linked to care if they had an HIV serology confirmation test, viral load, CD4 cell count and started antiretroviral therapy.Primary and secondary outcome measuresPrimary objective: to determine the prevalence (overall and undiagnosed cases) of HIV and HCV among the patients who consult the ER. Secondary objectives: to determine the proportion of patients who opt-out, assess the adherence of emergency staff to the offer of testing, determine the proportion of patients linked to care at 3 months.ResultsAmong 6350 eligible patients informed of the screening programme, 62.1% of patients were tested for at least one virus (HIV: 3905; HCV: 3910). 25% patients opted-out, 12% were not tested for organisational reasons, 0.3% (18) patients were HCV-HIV coinfected. Overall prevalence of HCV and HIV cases were 1.9% and 1.2%, respectively. Prevalence of new cases was 0.23% (95% CI 0.12% 0.45%) for HCV and 0.05% (95% CI 0.01% to 0.20%) for HIV. Among the new cases, only two HCV-infected and one HIV-infected patients were linked-to-care 3 months postdiagnosis.ConclusionsIdentification of new cases of HCV and HIV through universal screening at the ER and linkage-to-care were both low.Trial registration numberNCT03595527; Results.

Project description:Study questionWhat is the effect of default test offers--opt-in, opt-out, and active choice--on the likelihood of acceptance of an HIV test among patients receiving care in an emergency department?MethodsThis was a randomized clinical trial conducted in the emergency department of an urban teaching hospital and regional trauma center. Patients aged 13-64 years were randomized to opt-in, opt-out, and active choice HIV test offers. The primary outcome was HIV test acceptance percentage. The Denver Risk Score was used to categorize patients as being at low, intermediate, or high risk of HIV infection.Study answer and limitations38.0% (611/1607) of patients in the opt-in testing group accepted an HIV test, compared with 51.3% (815/1628) in the active choice arm (difference 13.3%, 95% confidence interval 9.8% to 16.7%) and 65.9% (1031/1565) in the opt-out arm (difference 27.9%, 24.4% to 31.3%). Compared with active choice testing, opt-out testing led to a 14.6 (11.1 to 18.1) percentage point increase in test acceptance. Patients identified as being at intermediate and high risk were more likely to accept testing than were those at low risk in all arms (difference 6.4% (3.4% to 9.3%) for intermediate and 8.3% (3.3% to 13.4%) for high risk). The opt-out effect was significantly smaller among those reporting high risk behaviors, but the active choice effect did not significantly vary by level of reported risk behavior. Patients consented to inclusion in the study after being offered an HIV test, and inclusion varied slightly by treatment assignment. The study took place at a single county hospital in a city that is somewhat unique with respect to HIV testing; although the test acceptance percentages themselves might vary, a different pattern for opt-in versus active choice versus opt-out test schemes would not be expected.What this paper addsActive choice is a distinct test regimen, with test acceptance patterns that may best approximate patients' true preferences. Opt-out regimens can substantially increase HIV testing, and opt-in schemes may reduce testing, compared with active choice testing.Funding, competing interests, data sharingThis study was supported by grant NIA 1RC4AG039078 from the National Institute on Aging. The full dataset is available from the corresponding author. Consent for data sharing was not obtained, but the data are anonymized and risk of identification is low.Trial registration Clinical trials NCT01377857.

Project description:BACKGROUND: Early diagnosis of human immunodeficiency virus (HIV) allows for appropriately timed interventions with improved outcomes, but HIV screening among asymptomatic persons and the general population in Singapore remains low. In 2008, Singapore's Ministry of Health implemented HIV voluntary opt-out screening (VOS) for hospitalised adults. We evaluated the outcome of VOS and surveyed reasons for its low uptake in our institution. METHODS: We assessed the outcomes of the VOS programme from January 2010 to December 2013 at National University Hospital, a 1081-bed tertiary hospital in Singapore. We also examined reasons for opting-in and opting-out using an interviewer-administered structured questionnaire in a representative sample in January 2013. RESULTS: 107,523 patients fulfilled VOS criteria and were offered HIV screening, of which 5215 (4.9%) agreed to testing. 4850 (93.1%) of those who opted-in had an HIV test done. Three (0.06%) tested positive for HIV. 238 patients (14.2%) were surveyed regarding reasons for opting-in or out of VOS. 21 (8.8%) had opted-in. Patients who opted-in were likely to be younger, more educated and reported having more regular sexual partners. Type of housing, number of casual sexual partners, sexual orientation, intravenous drug use, condom use and previous sexually transmitted infection were not associated with deciding to opt-in/out. Patients' most common reasons for opting-out were: belief that they were at low risk (50.2%), belief that they were too old (26.8%), cost (6.9%) and aversion to venepuncture (6.5%). The most common reason for opting-in was desire to know their HIV status (47.6%). CONCLUSION: The success of an HIV-VOS program is largely determined by test uptake. Our study showed that the majority of eligible VOS patients opted-out of HIV screening. Given the considerable cost and low yield of this programme, more needs to be done to better equip patients in self-risk assessment and opting in to testing.

Project description:BACKGROUND:Nurse managers have a pivotal role in fostering unit climates supportive of implementing evidence-based practices (EBPs) in care delivery. EBP leadership behaviors and competencies of nurse managers and their impact on practice climates are widely overlooked in implementation science. The purpose of this study was to examine the contributions of nurse manager EBP leadership behaviors and nurse manager EBP competencies in explaining unit climates for EBP implementation in adult medical-surgical units. METHODS:A multi-site, multi-unit cross-sectional research design was used to recruit the sample of 24 nurse managers and 553 randomly selected staff nurses from 24 adult medical-surgical units from 7 acute care hospitals in the Northeast and Midwestern USA. Staff nurse perceptions of nurse manager EBP leadership behaviors and unit climates for EBP implementation were measured using the Implementation Leadership Scale and Implementation Climate Scale, respectively. EBP competencies of nurse managers were measured using the Nurse Manager EBP Competency Scale. Participants were emailed a link to an electronic questionnaire and asked to respond within 1 month. The contributions of nurse manager EBP leadership behaviors and competencies in explaining unit climates for EBP implementation were estimated using mixed-effects models controlling for nurse education and years of experience on current unit and accounting for the variability across hospitals and units. Significance level was set at α < .05. RESULTS:Two hundred sixty-four staff nurses and 22 nurse managers were included in the final sample, representing 22 units in 7 hospitals. Nurse manager EBP leadership behaviors (p < .001) and EBP competency (p = .008) explained 52.4% of marginal variance in unit climate for EBP implementation. Leadership behaviors uniquely explained 45.2% variance. The variance accounted for by the random intercepts for hospitals and units (p < .001) and years of nursing experience in current unit (p < .05) were significant but level of nursing education was not. CONCLUSION:Nurse managers are significantly related to unit climates for EBP implementation primarily through their leadership behaviors. Future implementation studies should consider the leadership of nurse managers in creating climates supportive of EBP implementation.

Dataset Information

Opt-out bloodborne virus screening: a cross-sectional observational study in an acute medical unit.

Objective

Design and setting

Participants

Results

Conclusion

Publications

Opt-out bloodborne virus screening: a cross-sectional observational study in an acute medical unit.

Similar Datasets

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