Pharmaceutical industry payments to NHS trusts in England: A four-year analysis of the Disclosure UK database.

INTRODUCTION: Although hospitals are key health service providers, their financial ties to drug companies are little understood. We examine non-research pharmaceutical industry payments to English National Health Service (NHS) trusts-hospital groupings providing secondary and tertiary care. METHODS: We extracted data from the industry-run Disclosure UK database, analysing it descriptively and using the Jonckheere-Terpstra test to establish whether a statistically significant time trend existed in the median values of individual payments. We explained payment value and number per trust with random effects models, using selected trust characteristics as predictors. RESULTS: Drug companies reported paying £60,253,421 to 234 trusts, representing between 90.0% and 92.0% of all trusts in England between 2015 and 2018. As a share of payments to all healthcare organisations, the number of payments rose from 38.6% to 39.5%, but their value dropped from 33.0% to 23.6%. The number of payments for fees for service and consultancy and contributions to costs of events increased by 61.5% and 29.4%. The median payment value decreased significantly for trusts overall (from £2,250.8 to £1,758.5), including those with lower autonomy from central government; providing acute services; and from half of England's regions. The random effects model showed that acute trusts received significantly more money on average than trusts with all other service profiles; and trusts from East England received significantly less than those from London. However, trusts enjoying greater autonomy from government did not receive significantly more money than others. Trusts also received significantly less money in 2018 than in 2015. CONCLUSION: NHS trusts had extensive pharmaceutical industry ties but were losing importance as payment targets relative to other healthcare organisations. Industry payment strategies shifted towards events sponsorship, consultancies, and smaller payments. Trusts with specific service and geographical profiles were prioritised. Understanding corporate payments across the health system requires more granular disclosure data.

Efficacy of repetitive transcranial magnetic stimulation (rTMS) adjunctive therapy for major depressive disorder (MDD) after two antidepressant treatment failures: meta-analysis of randomized sham-controlled trials.

BACKGROUND: Several meta-analyses demonstrated the efficacy of unilateral High-Frequency Left-sided (HFL) repetitive Transcranial Magnetic Stimulation (rTMS) for individuals with Major Depressive Disorder (MDD); however, results are contradictory due to heterogeneity of the included studies. METHODS: A systematic literature review (SLR) of English language articles published since 2000 was performed in March 2022 on PubMed and Scopus databases. Empirical evidence on the relative efficacy of rTMS treatment compared with standard pharmacotherapy in Treatment-Resistant Depression (TRD) were extracted. Random effects models were used to assess the effects of rTMS on response and remission rates. RESULTS: 19 randomized double-blinded sham-controlled studies were included for quantitative analysis for response (n = 854 patients) and 9 studies for remission (n = 551 patients). The risk ratio (RR) for response and remission are 2.25 and 2.78, respectively for patients after two treatment failures using rTMS as add-on treatment compared to standard pharmacotherapy. Cochrane's Q test showed no significant heterogeneity. No publication bias was detected. CONCLUSIONS: rTMS is significantly more effective than sham rTMS in TRD in response and remission outcomes and may be beneficial as an adjunctive treatment in patients with MDD after two treatment failures. This finding is consistent with previous meta-analyses; however, the effect size was smaller than in the formerly published literature.

Prevalence, Cardiometabolic Comorbidities and Reporting of Chronic Kidney Disease; A Hungarian Cohort Analysis.

Objectives: Chronic kidney disease (CKD) implies increased comorbidity burden, disability, and mortality, becoming a significant public health problem worldwide, however, prevalence data are lacking in Hungary. Methods: We determined CKD prevalence, stage distribution, comorbidities using estimated glomerular filtration rate (eGFR), albuminuria, and international disease codes in a cohort of healthcare utilizing residents within the catchment area of the University of Pécs, in the County Baranya, Hungary, between 2011 and 2019 by database analysis. The number of laboratory-confirmed and diagnosis-coded CKD patients were compared. Results: Of the total 296,781 subjects of the region, 31.3% had eGFR tests and 6.4% had albuminuria measurements, of whom we identified 13,596 CKD patients (14.0%) based on laboratory thresholds. Distribution by eGFR was presented (G3a: 70%, G3b: 22%, G4: 6%, G5: 2%). Amongst all CKD patients 70.2% had hypertension, 41.5% diabetes, 20.5% heart failure, 9.4% myocardial infarction, 10.5% stroke. Only 28.6% of laboratory-confirmed cases were diagnosis-coded for CKD in 2011-2019. Conclusion: CKD prevalence was 14.0% in a Hungarian subpopulation of healthcare-utilizing subjects in 2011-2019, and substantial under-reporting of CKD was also found.

Drug company payments to General Practices in England: Cross-sectional and social network analysis.

Although there has been extensive research on pharmaceutical industry payments to healthcare professionals, healthcare organisations with key roles in health systems have received little attention. We seek to contribute to addressing this gap in research by examining drug company payments to General Practices in England in 2015. We combine a publicly available payments database managed by the pharmaceutical industry with datasets covering key practice characteristics. We find that practices were an important target of company payments, receiving £2,726,018, equivalent to 6.5% of the value of payments to all healthcare organisations in England. Payments to practices were highly concentrated and specific companies were also highly dominant. The top 10 donors and the top 10 recipients amassed 87.9% and 13.6% of the value of payments, respectively. Practices with more patients, a greater proportion of elderly patients, and those in more affluent areas received significantly more payments on average. However, the patterns of payments were similar across England's regions. We also found that company networks-established by making payments to the same practices-were largely dominated by a single company, which was also by far the biggest donor. Greater policy attention is required to the risk of financial dependency and conflicts of interests that might arise from payments to practices and to organisational conflicts of interests more broadly. Our research also demonstrates that the comprehensiveness and quality of payment data disclosed via industry self-regulatory arrangements needs improvement. More interconnectivity between payment data and other datasets is needed to capture company marketing strategies systematically.