Adapting the Structured Operational Research Training Initiative (SORT IT) for high-income countries

SORT IT (Structured Operational Research Training InitiaTive) is a successful capacity building programme started 10 years ago to develop operational research skills in low- and middle-income countries. Public Health England (PHE) aims to embed a culture of research in front-line staff, and SORT IT has been adapted to train frontline health protection professionals at PHE North West (PHE NW) to collate, analyse and interpret routinely collected data for evidence-informed decision-making. Six participants from the PHE NW Health Protection team were selected to attend a two-module course in Liverpool, UK, in May and in November 2018. Five participants finished the course with completed papers on characteristics and burden of influenza-like illness in elderly care homes (two papers), use of dried blood spots for blood-borne virus screening in prisons, uptake of meningococcal ACWY (groups A, C, W-135 and Y) vaccine in schoolchildren and fires in waste management sites. The SORT IT course led to 1) new evidence being produced to inform health protection practice, and 2) agreement within PHE NW to continue SORT IT with two courses per year, and 3) showed how a research capacity building initiative for low- and middle-income countries that combines 'learning with doing' can be adapted and used in a high-income country.

Prevalence of recreational drug use reported by men who have sex with men attending sexual health clinics in Manchester, UK

Recreational drug use (RDU) has been reported to be disproportionately higher in men who have sex with men (MSM) when compared to their heterosexual counterparts. To identify RDU, links to risky sexual practices and infections for MSM attending three sexual health clinics across Manchester, United Kingdom, a retrospective case note review was conducted using a random powered sample of service users attending three sites during 2014. Three hundred and fifty-seven case notes were reviewed across three sites. Eighteen per cent of service users reported any type of RDU. Use of at least one of the three drugs associated with chemsex (crystal methamphetamine, mephedrone, gamma hydroxybutyrate/gamma butyrolactone) was reported by 3.6%. A statistically significant difference was identified between non-drug users and any-drug users reporting: group sex (odds ratio [OR] 5.88, p = 0.013), condomless receptive anal intercourse (CRAI) (OR 2.77, p = 0.003) and condomless oral intercourse (OR 2.52, p = 0.016). A statistically significant difference was identified between chemsex-related drug user and non-drug user groups reporting: group sex (OR 13.05, p = 0.023), CRAI (OR 3.69, p = 0.029) and condomless insertive anal intercourse (OR 1.27, p = 0.039). There was also a statistically higher incidence of gonorrhoea infection in chemsex-related drug use compared with those not using drugs (p = 0.002, OR 6.88). This study identifies that substance use is common in MSM attending sexual health clinics in Manchester. High-risk sexual practices and certain sexually transmitted infections are more common in MSM reporting RDU.

Development and testing of models of tuberculosis contact tracing in rural southern Africa

SETTING

A regional hospital in rural Swaziland.

OBJECTIVES

To evaluate a hospital-based contact screening programme and test approaches to improve its effectiveness.

DESIGN

An evaluation and quality improvement study of tuberculosis (TB) contact tracing services.

RESULTS

Hospital-based TB contact tracing led to screening of 157 (24%) of 658 contacts; of these, 4 (2.5%) were diagnosed with TB. Of 68 contacts eligible for human immunodeficiency virus (HIV) testing and counselling, 45 (66%) were tested and 7/45 (16%) were identified as HIV-positive. Twelve (50%) of 24 screened contacts aged <5 years were provided isoniazid prophylaxis. Three enhanced models of TB contact tracing were piloted to screen contacts in the community. Although some enhanced models screened large numbers of contacts, no contacts were diagnosed with TB.

CONCLUSION

Contact tracing of household members conducted in TB clinics within hospital settings is effective in high-burden, low-income settings, and can be provided using current resources. Enhanced household contact tracing models that followed up contacts in the community were not found to be effective. Additional resources would be required to provide household TB contact tracing in the community.

Diabetic retinopathy equity profile in a multi-ethnic, deprived population in Northern England

PURPOSE

Equity profiles are an established public health tool used to systematically identify and address inequity within health and health services. Our aim was to conduct an equity profile to identify inequity in eye health across Leeds and Bradford. This paper presents results of findings for diabetic retinopathy in Bradford and Airedale.

METHODS

A variety of routine health data were included and sub-analysed by measures of equity, including age, sex, ethnicity, and deprivation to identify inequity in eye health and healthcare. The Spearman Rank Correlation Coefficient was used to determine the association between variables.

RESULTS

The prevalence of diagnosed diabetes in Bradford and Airedale district is 6.6% compared to 4.3% in nearby Leeds and 5.1% nationally. The age-standardised prevalence of diagnosed diabetic retinopathy within Bradford and Airedale is 2.21% (95% CI 1.54-2.26%), with a disproportionately high prevalence of disease in the Pakistani population and the most deprived parts of the population. There was a poorer uptake of diabetic retinopathy screening in more deprived parts of the district and the proportions with a higher rate of referral to ophthalmology following the screening in Black and Minority Ethnic populations compared with the white population (13.2% vs 6.9%). Uptake of secondary care outpatient appointments is much lower in more deprived populations.

CONCLUSION

Inequalities are inherent in diabetic retinopathy prevalence, diagnosis, and treatment. The reasons for these inequities are multi-factorial and further investigation of reasons for poor uptake of services is required. Addressing the inequalities in eye health and healthcare requires cross-organisational collaboration.