Determinants of non-adherence to anti-TB treatment in high income, low TB incidence settings: a scoping review.

BACKGROUND: Improving adherence to anti-TB treatment is a public health priority in high-income, low incidence (HILI) regions. We conducted a scoping review to identify reported determinants of non-adherence in HILI settings.METHODS: Key terms related to TB, treatment and adherence were used to search MEDLINE, EMBASE, Web of Science, PsycINFO and CINAHL in June 2019. Quantitative studies examining determinants (demographic, clinical, health systems or psychosocial) of non-adherence to anti-TB treatment in HILI settings were included.RESULTS: From 10,801 results, we identified 24 relevant studies from 10 countries. Definitions and methods of assessing adherence were highly variable, as were documented levels of non-adherence (0.9-89%). Demographic factors were assessed in all studies and clinical factors were frequently assessed (23/24). Determinants commonly associated with non-adherence were homelessness, incarceration, and alcohol or drug misuse. Health system (8/24) and psychosocial factors (6/24) were less commonly evaluated.CONCLUSION: Our review identified some key factors associated with non-adherence to anti-TB treatment in HILI settings. Modifiable determinants such as psychosocial factors are under-evidenced and should be further explored, as these may be better targeted by adherence support. There is an urgent need to standardise definitions and measurement of adherence to more accurately identify the strongest determinants.

The challenge of estimating tuberculosis mortality accurately in England and Wales.

BACKGROUND: Accurate estimates of tuberculosis (TB) mortality are required to monitor progress towards the World Health Organization End TB goal of reducing TB deaths by 95% by 2035. We compared TB death data for England and Wales from the national surveillance system (Enhanced Tuberculosis Surveillance System [ETS]) and the vital registration system from the Office for National Statistics (ONS). METHODS: TB cases notified in ETS were matched to deaths in ONS (dONS) with International Classification of Diseases, Tenth Revision (ICD-10) codes indicating that TB caused/contributed to the death (A15-A19). Deaths captured in one but not both systems were assessed to identify if ONS captured all TB deaths and if there was under-notification of TB in ETS. We stratified deaths into active TB, TB sequelae, incidental deaths and not TB. RESULTS: Between 2005 and 2015, there were fewer deaths in ETS (dETS) than dONS with ICD-10 codes A15-A19 (n = 4207 vs. n = 6560); 57% of dETS were recorded as dONS and 53% of dONS were notified to ETS. A total of 9289 deaths were identified from dETS and dONS: 64% were due to active TB, 23% were TB sequelae, 6% were incidental and 7% were not TB. CONCLUSIONS: TB deaths in ETS and ONS differ substantially. Almost one third of TB deaths recorded by ONS are not due to active TB; this can be amended through coding changes.

Hospitalization in two waves of pandemic influenza A(H1N1) in England.

Uncertainties exist regarding the population risks of hospitalization due to pandemic influenza A(H1N1). Understanding these risks is important for patients, clinicians and policy makers. This study aimed to clarify these uncertainties. A national surveillance system was established for patients hospitalized with laboratory-confirmed pandemic influenza A(H1N1) in England. Information was captured on demographics, pre-existing conditions, treatment and outcomes. The relative risks of hospitalization associated with pre-existing conditions were estimated by combining the captured data with population prevalence estimates. A total of 2416 hospitalizations were reported up to 6 January 2010. Within the population, 4·7 people/100,000 were hospitalized with pandemic influenza A(H1N1). The estimated hospitalization rate of cases showed a U-shaped distribution with age. Chronic kidney disease, chronic neurological disease, chronic respiratory disease and immunosuppression were each associated with a 10- to 20-fold increased risk of hospitalization. Patients who received antiviral medication within 48 h of symptom onset were less likely to be admitted to critical care than those who received them after this time (adjusted odds ratio 0·64, 95% confidence interval 0·44-0·94, P=0·024). In England the risk of hospitalization with pandemic influenza A(H1N1) has been concentrated in the young and those with pre-existing conditions. By quantifying these risks, this study will prove useful in planning for the next winter in the northern and southern hemispheres, and for future pandemics.