A London-based study in which HIV tests were offered in a non-targeted manner to
as many patients as possible between the ages of 16 and 65 has concluded that
routine HIV testing in higher-prevalence areas in the UK is feasible and
acceptable.
About the study
The HINTS study,
which
has previously reported some of its findings at UK conferences, took place between
August 2009 and September 2010. During this time, non-targeted HIV tests were
conducted over four different three-month periods in four medical settings
in four London boroughs. These were:
An
emergency (A&E) department at a large central London teaching hospital
(Chelsea and Westminster).
An
acute care unit for inpatients at an east London hospital in a deprived area
(Homerton).
An
outpatient clinic specialising in dermatology (skin conditions) at a hospital
in the highest-prevalence local authority in the UK (King’s College Hospital,
Lambeth).
A
large primary care practice in a west London borough with wide socioeconomic
inequalities (Hammersmith and Fulham).
Each of these
areas has diagnosed HIV prevalence in the general population considerably in
excess of the 0.2% (two cases per 1000) that is the threshold recommended
by the British HIV Association (BHIVA) in 2008 for widespread, non-targeted
HIV testing: prevalence varied from 0.815% in Hammersmith and Fulham to 1.33%
in Lambeth.
HIV diagnoses
HINTS found
eight undiagnosed HIV infections out of a total of 4105 people tested, yielding
an undiagnosed-HIV prevalence of 1.95 cases per 1000 people or one new
diagnosis in every 513 people tested. However, prevalence varied significantly
between sites. No people were diagnosed in the outpatients’ or primary care
clinics, and the four detected in the A&E department translates to a
undiagnosed prevalence of 0.19%, close to the BHIVA recommended threshold; but
the four detected in the acute care unit, where fewer tests were conducted,
represents an undiagnosed prevalence of 1.01%, five times higher.
The HINTS study
was not powered to detect ‘true’ undiagnosed prevalence (it is estimated that a
study of 30,000 people would be needed to do this) and the 95% confidence
interval is wide (meaning that the ‘true’ undiagnosed-HIV prevalence in acute
care could be anything from 0.03% to 2.05%), but it could indicate that routine
testing in hospital medical admissions units would be particularly
cost-effective. In addition to the eight diagnosed, two further new diagnoses
were made through contact tracing.
There were seven
false-positive results from the tests, five in the primary care clinic and two
in A&E. These were eliminated after the quick test (which used oral fluid)
was shown to be false in a second blood test.
Staff attitudes towards testing
The study issued
questionnaires to staff in the different settings before conducting the study
(not necessarily the staff who ended up performing the HIV tests), and to
patients offered tests during the study.
Only 4% of staff
disagreed that HIV tests should be offered in settings other than STI and
antenatal clinics, and 83% said HIV tests should be routinely offered to all
patients. However, only 54% (42% in the A&E department) said they would
personally feel comfortable offering routine HIV tests, 63% said they would be
concerned that patients would have questions they could not answer (72% in the
inpatient unit), and 72% said they felt they would need additional training
before routinely offering HIV tests (82% in the inpatient unit). A clear
training need was thus identified, and additional training given to staff
members who actually did perform tests.
Tests done
A total of
15,042 patients between 16 and 65 were seen for care in the four units during
the testing periods. Of these, 8% were ruled out because they either already had
HIV or had recently been tested. Of the remaining 13,855, 7033 (51%) were
actually approached for a test, of whom 839 (12% of those approached) were excluded
as clinically ineligible.
The highest
proportion of exclusions was in the A&E department, and the most common
reasons were that the patient was too unwell, that there was a language barrier
(especially in A&E), that they were too distressed, or that they had
learning difficulties. Patients of black African ethnicity were actually
somewhat less likely than average to
be offered a test; 7% of all patients were African but only 5% of those were offered
tests. It is not known why the offer rate was lower in Africans – there might
have been more clinical exclusions – but it at least means healthcare staff were
not trying to target patients. Patients who said they were gay on the
questionnaire were no more likely to be offered tests than others.
Of 6194 offers
of tests, 4105 (66%) were accepted by patients. This uptake rate ranged from
75% in the primary care clinic to 62% in the A&E department. This meant
that, of the 13,855 patients eligible for a test, 30% got one. This coverage
rate is in fact considerably higher than in most
US studies of routine opt-out testing.
The only
predictors of higher test uptake were male sex (men were twice as likely than
women to accept a test), being under 27 (2.3 times more likely than average)
and never having taken an HIV test before (four times more likely). Gay and
black African patients were neither more nor less likely than average to take a
test if offered.
Patient acceptability
About a quarter
of patients were offered a questionnaire and most returned one. The most common
reasons given for declining a test were “I have tested recently” (54%), “I do
not think I am at risk of HIV” (47%), and “I have other health concerns today”
(24% – patients could tick more than one box). The fact that most patients
previously tested for HIV had had their last test more than a year ago may
indicate some need for patient education about testing frequency. Nonetheless,
most patients thought it acceptable to be offered a test, even 85% of those who
turned the offer down.
Practicality and conclusions
In terms of
practicability, a lower proportion of patients were tested in the A&E and
acute care settings. This was because of high patient numbers in the A&E
department, which required two HIV testers being on duty at all times, while in
the acute care unit it was due to rapid throughput of patients, with many only
staying one night.
In terms of
cost-effectiveness, the researchers note that studies modelling
cost-effectiveness in the UK have yet to be done: the figure for
cost-effectiveness if background prevalence is over 0.2% is taken from US
studies.
What the
researchers do conclude, though, is that “routine HIV testing in non-specialist
settings in the UK is highly acceptable to patients and staff” and that “such a
strategy is feasible to deliver in a diverse range of settings”.
The challenge
may now be to use this data to influence clinical practice and guidelines. Last
year, a review of guidelines presented at the BHIVA conference showed that many
guidelines issued for non-HIV specialists are outdated and in some cases specifically
rule out HIV testing, even in some patients at higher risk or with
conditions that could indicate HIV.
The HINTS
researchers comment that their study “offers a substantial evidence base to
underpin strong recommendations...that routine HIV testing in secondary and
primary care settings in areas of high HIV prevalence ought to be developed and
implemented as a matter of urgency”.