P131: Understanding factors behind the late testing and diagnosis of HIV: UK results from the IMPRESS Health 2 study.
Journal article
O'Connor, S., Hart, M. and Manship, S. 2015. P131: Understanding factors behind the late testing and diagnosis of HIV: UK results from the IMPRESS Health 2 study. HIV Medicine. 16 (Supp 2), pp. 53-54. https://doi.org/10.1111/hiv.12265
Authors | O'Connor, S., Hart, M. and Manship, S. |
---|---|
Abstract | Background: Over 100,000 have HIV in the UK. However, while effective treatment exists, there is neither a cure nor a preventative vaccine, so >500 people die from AIDS every year with many others dying undiagnosed. Health policy focuses on prevention and support, but it is necessary to increase the number of early diagnoses and reduce the rate of spread (Public Health England, 2014). Approximately 25% of HIV positive individuals do not know their status however, and almost half of all UK diagnoses occur late. It is vital therefore, to understand and address barriers to early testing and diagnosis to address this trend. Methods: Clinical data for 240 patients diagnosed with HIV in 3 trusts in Kent and Medway over 5 years were analysed in relation to clinical, social, demographic and psychosexual factors likely to affect knowledge of HIV and their decision to seek a test. Fifty-three semi-structured interviews were also conducted with patients and healthcare professionals to elicit experience and perceptions about barriers to testing and ways to increase uptake. Results: Patients were aged 19-81 years (mean 40 years) and 67.5% were men. Women were more likely to be diagnosed late however (67.9% versus 56.8%), and late diagnosis was higher than the national average for both sexes (60.4%) with the highest rates in Medway (66.1%) and Maidstone and Tunbridge Wells (64.6%). Patients diagnosed late were 4 years older than those diagnosed early; and late diagnoses was higher in ethnic minority groups (70.2%) compared to white British (53.0%). Those born outside the UK were also generally diagnosed later (69.8%). The most frequent categories affected were heterosexuals (56.2%), men who have sex with men (36.6%) and intravenous drug users (2.0%). Patients diagnosed during an acute hospital admission were far more likely to be diagnosed late (89.1%) compared to other settings (49.6 - 57.1%). Qualitative data suggested that outmoded notions of HIV as a ‘gay disease’ still prevailed and heterosexuals did not generally consider themselves to be at risk. Healthcare professionals sometimes failed to acknowledge risks in ‘non-traditional’ groups and often overlooked HIV as a likely cause of symptoms until patients were seriously unwell. Conclusion: Clearer public health messages should be targeted at the general population and there is a need to better educate professionals, especially GPs, about the clinical indicators of HIV which also need to be de-stigmatised. |
Keywords | HIV AIDS Testing Diagnosis Early Late Barriers Understanding Kent Medway France (Picardy) |
Year | 2015 |
Journal | HIV Medicine |
Journal citation | 16 (Supp 2), pp. 53-54 |
Publisher | Blackwell Publishing |
ISSN | 1464-2662 |
Digital Object Identifier (DOI) | https://doi.org/10.1111/hiv.12265 |
Funder | European Cross Border Cooperation Programme INTERREG IVA France (Channel) England, co-funded by the ERDF |
Publication dates | |
2015 | |
Publication process dates | |
Deposited | 08 Mar 2016 |
Accepted | 01 Apr 2015 |
Supplemental file | |
Output status | Published |
https://repository.canterbury.ac.uk/item/87q84/p131-understanding-factors-behind-the-late-testing-and-diagnosis-of-hiv-uk-results-from-the-impress-health-2-study
Download files
22
total views6
total downloads1
views this month1
downloads this month
Export as
Related outputs
Novel robotic assistive technologies: choosing appropriate training for healthcare professionals
Ménard, L., Petit, A., Leblong, E., Stein, M., Hatzidimitriadou, E., Khemmar, R., Manship, S., Morris, R., Ragot, N. and Gallien, P. 2020. Novel robotic assistive technologies: choosing appropriate training for healthcare professionals. Modelling, Measurement and Control C. 81 (1-4), pp. 43-48. https://doi.org/10.18280/mmc_c.811-408Participant experiences of the DWELL programme: focus group findings on motivation, experiences, facilitators and barriers
Manship, S., Hatzidimitriadou, E., Morris, R., Hulbert, S., Webster, J., Belmas, N. and Best, A. 2020. Participant experiences of the DWELL programme: focus group findings on motivation, experiences, facilitators and barriers. European Journal of Public Health. 30 (Supplement 5), p. v509. https://doi.org/10.1093/eurpub/ckaa165.1390Patient empowerment, eating behaviours and illness control: pre-post outcomes from DWELL delivery in UK and France
Morris, R., Hatzidimitriadou, E., Manship, S., Hulbert, S., Webster, J., Teke, J., Belmas, N., Best, A., Averous, V. and Cazier. J. 2020. Patient empowerment, eating behaviours and illness control: pre-post outcomes from DWELL delivery in UK and France. European Journal of Public Health. 30 (Supplement 5), p. v509. https://doi.org/10.1093/eurpub/ckaa165.1389The Diabetes and WELLbeing programme: protocol of a multi-site European complex intervention study
Hatzidimitriadou, E., Manship, S., Morris, R., Hulbert, S., Webster, J., Belmas, N., Best, A., Averous, V., Vanbosseghem, R. and Gijssel, M. 2020. The Diabetes and WELLbeing programme: protocol of a multi-site European complex intervention study. European Journal of Public Health. 30 (Supplement 5), p. v509. https://doi.org/10.1093/eurpub/ckaa165.1388The contribution of new technologies and robotics in assistive technology for disability: What training is required for healthcare professionals? (L'apport des Nouvelles Technologies et de la Robotique dans les Aides Techniques de Compensation du Handicap: Quelle formation pour les professionnels de santé?)
Menard, L., Petit, A., Leblong, E., Khemmar, R., Hatzidimitriadou, E., Manship, S., Stein, M., Morris, R., Ragot, N. and Gallien, P. 2020. The contribution of new technologies and robotics in assistive technology for disability: What training is required for healthcare professionals? (L'apport des Nouvelles Technologies et de la Robotique dans les Aides Techniques de Compensation du Handicap: Quelle formation pour les professionnels de santé?).