Cost-effectiveness of biennial screening for diabetes related retinopathy in people with type 1 and type 2 diabetes compared to annual screening.

OBJECTIVE: Examine the health and economic impact of extending screening intervals in people with Type 2 diabetes (T2DM) and Type 1 diabetes (T1DM) without diabetes-related retinopathy (DR). SETTING: Diabetic Eye Screening Wales (DESW). STUDY DESIGN: Retrospective observational study with cost-utility analysis (CUA) and Decremental Cost-Effectiveness Ratios (DCER) study. INTERVENTION: Biennial screening versus usual care (annual screening). INPUTS: Anonymised data from DESW were linked to primary care data for people with two prior screening events with no DR. Transition probabilities for progression to DR were estimated based on a subset of 26,812 and 1232 people with T2DM and T1DM, respectively. DCER above £20,000 per QALY was considered cost-effective. RESULTS: The base case analysis DCER results of £71,243 and £23,446 per QALY for T2DM and T1DM respectively at a 3.5% discount rate and £56,822 and £14,221 respectively when discounted at 1.5%. Diabetes management represented by the mean HbA1c was 7.5% for those with T2DM and 8.7% for T1DM. SENSITIVITY ANALYSIS: Extending screening to biennial based on HbA1c, being the strongest predictor of progression of DR, at three levels of HbA1c 6.5%, 8.0% and 9.5% lost one QALY saving the NHS £106,075; £58,653 and £31,626 respectively for T2DM and £94,696, £37,646 and £11,089 respectively for T1DM. In addition, extending screening to biennial based on the duration of diabetes > 6 years for T2DM per QALY lost, saving the NHS £54,106 and for 6-12 and > 12 years for T1DM saving £83,856, £23,446 and £13,340 respectively. CONCLUSIONS: Base case and sensitivity analyses indicate biennial screening to be cost-effective for T2DM irrespective of HbA1c and duration of diabetes. However, the uncertainty around the DCER indicates that annual screening should be maintained for those with T1DM especially when the HbA1c exceeds 80 mmol/mol (9.5%) and duration of diabetes is greater than 12 years.

Cohort profile: the housing regeneration and health study.

A cohort comprising residents of a housing regeneration and health programme was created from routinely collected data using a system which allows us to anonymously link housing data to individuals and their health. The regeneration programme incorporating four rolling work packages runs from 2009 to 2014. The main intervention cohort we describe here contains the 18 312 residents of 9051 residences at baseline. The cohort will be followed continuously through routine health data (demographics, mortality, hospital admissions and general practitioner records including prescriptions) with periodic updates of housing regeneration intervention data. Here, we describe the baseline data for the primary health outcomes of emergency hospital admissions for cardiovascular and respiratory conditions and injuries for those aged ≥60 years. We will compare the health of residents within the homes before and after the housing regeneration work has taken place, and we will calculate the change in health service costs with use of hospital and General Practitioners (GP) services. We will also use a difference in differences approach to assess changes in comparison with comparator cohorts. These data will be accessible at the end of the study period in 2016. Further information about this study can be obtained from Ronan Lyons; r.a.lyons@swansea.ac.uk.

Social inequality and infant health in the UK: systematic review and meta-analyses.

OBJECTIVES: To determine the association between area and individual measures of social disadvantage and infant health in the UK. DESIGN: Systematic review and meta-analyses. DATA SOURCES: 26 databases and websites, reference lists, experts in the field and hand-searching. STUDY SELECTION: 36 prospective and retrospective observational studies with socioeconomic data and health outcomes for infants in the UK, published from 1994 to May 2011. DATA EXTRACTION AND SYNTHESIS: 2 independent reviewers assessed the methodological quality of the studies and abstracted data. Where possible, study outcomes were reported as ORs for the highest versus the lowest deprivation quintile. RESULTS: In relation to the highest versus lowest area deprivation quintiles, the odds of adverse birth outcomes were 1.81 (95% CI 1.71 to 1.92) for low birth weight, 1.67 (95% CI 1.42 to 1.96) for premature birth and 1.54 (95% CI 1.39 to 1.72) for stillbirth. For infant mortality rates, the ORs were 1.72 (95% CI 1.37 to 2.15) overall, 1.61 (95% CI 1.08 to 2.39) for neonatal and 2.31 (95% CI 2.03 to 2.64) for post-neonatal mortality. For lowest versus highest social class, the odds were 1.79 (95% CI 1.43 to 2.24) for low birth weight, 1.52 (95% CI 1.44 to 1.61) for overall infant mortality, 1.42 (95% CI 1.33 to1.51) for neonatal and 1.69 (95% CI 1.53 to 1.87) for post-neonatal mortality. There are similar patterns for other infant health outcomes with the possible exception of failure to thrive, where there is no clear association. CONCLUSIONS: This review quantifies the influence of social disadvantage on infant outcomes in the UK. The magnitude of effect is similar across a range of area and individual deprivation measures and birth and mortality outcomes. Further research should explore the factors that are more proximal to mothers and infants, to help throw light on the most appropriate times to provide support and the form(s) that this support should take.

Abolition of prescription charges in Wales: the impact on medicines use in those who used to pay.

OBJECTIVES: patient co-payments for prescription medicines in Wales were abolished in April 2007 and there has been much speculation on the possible effects. We analysed patient-reported use of medicines before and after abolition of the prescription charge, noting changes in the number of items prescribed, number of non-prescription medicines purchased and participants not collecting all prescribed items (primary non-adherence). METHODS: a sample of community pharmacists across Wales (n = 249) issued questionnaires to customers at the point of dispensing who were not exempt from the prescription charge. A second questionnaire was delivered by post to those who returned the first questionnaire (n = 1027) and expressed a willingness to participate further. Paired t-tests were applied to responses from those completing both questionnaires (n = 593). Further analyses were carried out according to gender, age and reported levels of household income. KEY FINDINGS: there was a statistically significant (P = 0.03) rise in the number of items prescribed, and a statistically significant fall (P = 0.02) in the number of non-prescription medicines purchased. Primary non-adherence was also found to fall between pre- and post-abolition periods. Those most affected in terms of increase in number of prescribed items prescribed were the older age group (45-59 years), and those with household income of between £15600 and £36400. The most affected in the fall in number of medicines purchased were males, those in the lower age group (25-34 years) and those with a higher household income (>£36400). CONCLUSIONS: although the rise in number of items prescribed and fall in number of medicines purchased was generally anticipated, there appeared to be little or no effect for those on the lowest incomes.

Abolition of prescription copayments in Wales: an observational study on dispensing rates.

OBJECTIVE: To assess effects of abolition of prescription copayments in Wales on rates of dispensing. METHODS: General practice-level monthly dispensing data were compared before/after abolition between Wales and North East (NE) England where the charge was retained. Data for 14 medicines that had most items dispensed subject to charge before abolition were similarly compared with NE England. For those with over-the-counter substitutes, wholesale sales to pharmacies were examined. A survey examined local initiatives, which might differentially affect dispensing between the two areas. RESULTS: Total dispensing rates (items/1000 patients) increased significantly in both areas but significantly less so in Wales (difference = -19.7, P = 0.024, 95% confidence interval [CI] = -36.7 to -2.6). For the 14 selected medicines, combined dispensing rates increased significantly in both areas but significantly more in Wales (difference = 27.51, P < 0.0001, 95% CI = 23.66-31.35). There was much variation for individual drugs, but categories tended to show this same trend except for antibiotics, where rates increased in Wales but decreased in NE England. The survey revealed few local initiatives that could explain these differences. Sales of over-the-counter substitutes did not explain the changes in dispensing. CONCLUSIONS: The Welsh policy was associated with a modest increase in dispensing rates relative to NE England for the 14 medicines with the highest number of items dispensed subject to charge before abolition. Although factors besides the copayment may have influenced these observations, the smaller relative increase in total dispensing rates in Wales suggests that the overall impact of abolition was minimal.

Evaluating cutpoints for the MHI-5 and MCS using the GHQ-12: a comparison of five different methods.

BACKGROUND: The Mental Health Inventory (MHI-5) and the Mental Health Component Summary score (MCS) derived from the Short Form 36 (SF-36) instrument are well validated and reliable scales. A drawback of their construction is that neither has a clinically validated cutpoint to define a case of common mental disorder (CMD). This paper aims to produce cutpoints for the MHI-5 and MCS by comparison with the General Health Questionnaire (GHQ-12). METHODS: Data were analysed from wave 9 of the British Household Panel Survey (2000), providing a sample size of 14,669 individuals. Receiver Operating Characteristic (ROC) curves were used to compare the scales and define cutpoints for the MHI-5 and MCS, using the following optimisation criteria: the Youden Index, the point closest to (0,1) on the ROC curve, minimising the misclassification rate, the minimax method, and prevalence matching. RESULTS: For the MHI-5, the Youden Index and the (0,1) methods both gave a cutpoint of 76, minimising the misclassification rate gave a cutpoint of 60 and the minimax method and prevalence matching gave a cutpoint of 68. For the MCS, the Youden Index and the (0,1) methods gave cutpoints of 51.7 and 52.1 respectively, minimising the error rate gave a cutpoint of 44.8 and both the minimax method and prevalence matching gave a cutpoint of 48.9. The correlation between the MHI-5 and the MCS was 0.88. CONCLUSION: The Youden Index and (0,1) methods are most suitable for determining a cutpoint for the MHI-5, since they are least dependent on population prevalence. The choice of method is dependent on the intended application. The MHI-5 performs remarkably well against the longer MCS.

Health locus of control beliefs and socio-economic differences in self-rated health.

BACKGROUND: Social inequalities in health are well documented in the social epidemiology literature. However, less is known about the mechanisms linking individual and area-level socio-economic status to health. In this paper we examine whether health locus of control (HLC) beliefs can help to explain socio-economic differences in self-rated health using the multidimensional HLC scale. METHODS: Data for this study come from the Caerphilly Health and Social Needs Survey (n=10,892). Multilevel modelling was used to examine the variation in HLC beliefs across different socio-demographic groups and levels of neighbourhood socio-economic status, and to investigate whether HLC beliefs mediate the health effects of individual and neighbourhood socio-economic position. RESULTS: This study found that the HLC scales were significantly associated with individual and neighbourhood socio-economic status, as well as with self-rated health. HLC beliefs appeared to mediate some of the health effects of individual socio-economic status and to a lesser extent the health effects of neighbourhood socio-economic status. CONCLUSIONS: Some evidence was found that HLC forms part of the pathway between individual and neighbourhood socio-economic status and health. Future research should further explore the psychological consequences of living in economically deprived conditions, alongside material, social and behavioural processes, and examine how this impacts upon people's health and well-being.

Neighbourhood deprivation and self-rated health: the role of perceptions of the neighbourhood and of housing problems.

It has been known for a long time that people living in socially and economically deprived neighbourhoods generally experience poorer health. However, it is often not clear what processes underlie the relationship between neighbourhood deprivation and individual health. In this study we explore the association between neighbourhood socio-economic status and self-rated health using the Caerphilly Health and Social Needs Survey (n=10,892). We found that the association between neighbourhood deprivation and self-rated health was substantially reduced after adjusting for individual socio-economic status, but remained statistically significant. This suggests that the health effects of neighbourhood deprivation are partly contextual. We also found that the association between neighbourhood deprivation and self-rated health was further attenuated when controlling for perceptions of the neighbourhood and of housing problems, suggesting that these variables may play a role in mediating the health effects of neighbourhood deprivation. The implications of the results are that health policy should target 'places' as well as 'people'; and that policies aimed at improving the quality of housing, access to amenities, neighbourhood safety, and social cohesion may help to reduce health inequalities.

Perceptions of the neighbourhood environment and self rated health: a multilevel analysis of the Caerphilly Health and Social Needs Study.

BACKGROUND: In this study we examined whether (1) the neighbourhood aspects of access to amenities, neighbourhood quality, neighbourhood disorder, and neighbourhood social cohesion are associated with people's self rated health, (2) these health effects reflect differences in socio-demographic composition and/or neighbourhood deprivation, and (3) the associations with the different aspects of the neighbourhood environment vary between men and women. METHODS: Data from the cross-sectional Caerphilly Health and Social Needs Survey were analysed using multilevel modelling, with individuals nested within enumeration districts. In this study we used the responses of people under 75 years of age (n = 10,892). The response rate of this subgroup was 62.3%. All individual responses were geo-referenced to the 325 census enumeration districts of Caerphilly county borough. RESULTS: The neighbourhood attributes of poor access to amenities, poor neighbourhood quality, neighbourhood disorder, lack of social cohesion, and neighbourhood deprivation were associated with the reporting of poor health. These effects were attenuated when controlling for individual and collective socio-economic status. Lack of social cohesion significantly increased the odds of women reporting poor health, but did not increase the odds of men reporting poor health. In contrast, unemployment significantly affected men's health, but not women's health. CONCLUSION: This study shows that different aspects of the neighbourhood environment are associated with people's self rated health, which may partly reflect the health impacts of neighbourhood socio-economic status. The findings further suggest that the social environment is more important for women's health, but that individual socio-economic status is more important for men's health.

Measuring the neighbourhood using UK benefits data: a multilevel analysis of mental health status.

BACKGROUND: Evidence from multilevel research investigating whether the places where people live influence their mental health remains inconclusive. The objectives of this study are to derive small area-level, or contextual, measures of the local social environment using benefits data from the Department of Work and Pensions (DWP) and to investigate whether (1) the mental health status of individuals is associated with contextual measures of low income, economic inactivity, and disability, after adjusting for personal risk factors for poor mental health, (2) the associations between mental health and context vary significantly between different population sub-groups, and (3) to compare the effect of the contextual benefits measures with the Townsend area deprivation score. METHODS: Data from the Welsh Health Survey 1998 were analysed in Normal response multilevel models of 24,975 individuals aged 17 to 74 years living within 833 wards and 22 unitary authorities in Wales. The mental health outcome measure was the Mental Health Inventory (MHI-5) of the Short Form 36 health status questionnaire. The benefits data available were the means tested Income Support and Income-based Job Seekers Allowance, and the non-means tested Incapacity Benefit, Severe Disablement Allowance, Disability Living Allowance and Attendance Allowance. Indirectly age-standardised census ward ratios were calculated to model as the contextual measures. RESULTS: Each contextual variable was significantly associated with individual mental health after adjusting for individual risk factors, so that living in a ward with high levels of claimants was associated with worse mental health. The non-means tested benefits that were proxy measures of economic inactivity from permanent sickness or disability showed stronger associations with individual mental health than the means tested benefits and the Townsend score. All contextual effects were significantly stronger in people who were economically inactive and unavailable for work. CONCLUSION: This study provides evidence for substantive contextual effects on mental health, and in particular the importance of small-area levels of economic inactivity and disability. DWP benefits data offer a more specific measure of local neighbourhood than generic deprivation indices and offer a starting point to hypothesise possible causal pathways to individual mental health status.