Perceptions of self-rated health among stroke survivors: a qualitative study in the United Kingdom.

BACKGROUND: Self-rated health predicts health outcomes independently of levels of disability or mood. Little is known about what influences the subjective health experience of stroke survivors. Our aim was to investigate stroke survivors' perceptions of self-rated health, with the intention of informing the design of interventions that may improve their subjective health experience. METHODS: We conducted semi-structured interviews with a purposive sample of 28 stroke survivors recruited from a stroke unit and follow-up outpatient clinic, 4-6 months after stroke, to explore what factors are perceived to be part of self-rated health in the early stages of recovery. Qualitative data were analysed using a thematic analysis approach to identify underlying themes. RESULTS: Participants' accounts show that stroke survivors' perceptions of self-rated health are multifactorial, comprising physical, psychological and social components. Views on future recovery after stroke play a role in present health experience and are shaped by psychosocial resources that are influenced by past experiences of ill-health, dispositional outlook such as degree of optimism, a sense of control and views on ageing. CONCLUSIONS: Severity of physical limitations alone does not influence perceptions of self-rated health among stroke survivors. Self-rated health in stroke survivors is a multidimensional construct shaped by changes in health status occurring after the stroke, individual characteristics and social context. Understanding the factors stroke survivors themselves associate with better health will inform the development of effective approaches to improve rehabilitation and recovery after stroke.

Moving beyond individual choice in policies to reduce health inequalities: the integration of dynamic with individual explanations.

Background: A strong focus on individual choice and behaviour informs interventions designed to reduce health inequalities in the UK. We review evidence for wider mechanisms from a range of disciplines, demonstrate that they are not yet impacting on programmes, and argue for their systematic inclusion in policy and research. Methods: We identified potential mechanisms relevant to health inequalities and their amelioration from different disciplines and analysed six policy documents published between 1976 and 2010 using Bacchi's 'What's the problem represented to be?' framework for policy analysis. Results: We found substantial evidence of supra-individualistic and relational mechanisms relevant to health inequalities from sociology, history, biology, neuroscience, philosophy and psychology. Policy documents sometimes expressed these mechanisms in policy rhetoric but rarely in policy recommendations, which continue to focus on individual behaviour. Discussion: Current evidence points to the potential of systematically applying broader thinking about causal mechanisms, beyond individual choice and responsibility, to the design, implementation and evaluation of policies to reduce health inequalities. We provide a set of questions designed to enable critique of policy discussions and programmes to ensure that these wider mechanisms are considered.

Changes in diet, cardiovascular risk factors and modelled cardiovascular risk following diagnosis of diabetes: 1-year results from the ADDITION-Cambridge trial cohort.

AIMS: To describe change in self-reported diet and plasma vitamin C, and to examine associations between change in diet and cardiovascular disease risk factors and modelled 10-year cardiovascular disease risk in the year following diagnosis of Type 2 diabetes. METHODS: Eight hundred and sixty-seven individuals with screen-detected diabetes underwent assessment of self-reported diet, plasma vitamin C, cardiovascular disease risk factors and modelled cardiovascular disease risk at baseline and 1 year (n = 736) in the ADDITION-Cambridge trial. Multivariable linear regression was used to quantify the association between change in diet and cardiovascular disease risk at 1 year, adjusting for change in physical activity and cardio-protective medication. RESULTS: Participants reported significant reductions in energy, fat and sodium intake, and increases in fruit, vegetable and fibre intake over 1 year. The reduction in energy was equivalent to an average-sized chocolate bar; the increase in fruit was equal to one plum per day. There was a small increase in plasma vitamin C levels. Increases in fruit intake and plasma vitamin C were associated with small reductions in anthropometric and metabolic risk factors. Increased vegetable intake was associated with an increase in BMI and waist circumference. Reductions in fat, energy and sodium intake were associated with reduction in HbA1c , waist circumference and total cholesterol/modelled cardiovascular disease risk, respectively. CONCLUSIONS: Improvements in dietary behaviour in this screen-detected population were associated with small reductions in cardiovascular disease risk, independently of change in cardio-protective medication and physical activity. Dietary change may have a role to play in the reduction of cardiovascular disease risk following diagnosis of diabetes.

Changes in physical activity and modelled cardiovascular risk following diagnosis of diabetes: 1-year results from the ADDITION-Cambridge trial cohort.

AIMS: To describe change in physical activity over 1 year and associations with change in cardiovascular disease risk factors in a population with screen-detected Type 2 diabetes. METHODS: Eight hundred and sixty-seven individuals with screen-detected diabetes underwent measurement of self-reported physical activity, cardiovascular disease risk factors and modelled cardiovascular disease risk at baseline and 1 year (n = 736) in the ADDITION-Cambridge trial. Multiple linear regression was used to quantify the association between change in different physical activity domains and cardiovascular disease risk factors at 1 year. RESULTS: There was no change in self-reported physical activity over 12 months. Even relatively large changes in physical activity were associated with relatively small changes in cardiovascular disease risk factors after allowing for changes in self-reported medication and diet. For every 30 metabolic equivalent-h increase in recreational activity (equivalent to 10 h/brisk walking/week), there was an average reduction of 0.1% in HbA(1c) in men (95% CI -0.15 to -0.01, P = 0.021) and an average reduction of 2 mmHg in systolic blood pressure in women (95% CI -4.0 to -0.05, P = 0.045). CONCLUSIONS: Few associations were observed between change in different physical activity domains and cardiovascular disease risk factors in this trial cohort. Cardiovascular disease risk reduction appeared to be driven largely by factors other than changes in self-reported physical activity in the first year following diagnosis.

Can informed choice invitations lead to inequities in intentions to make lifestyle changes among participants in a primary care diabetes screening programme? Evidence from a randomized trial.

OBJECTIVE: To test whether information about benefits and harms of screening for type 2 diabetes increases intentions to make lifestyle changes amongst attenders, predominantly among the socially advantaged and those with a strong future time orientation. STUDY DESIGN: Planned subgroup analysis of attenders for screening participating in a randomized controlled trial of an informed choice invitation vs a standard invitation to attend for type 2 diabetes screening. METHODS: Potentially eligible participants were identified from practice registers using routine data which were used to calculate risk scores for diabetes for all aged 40-69 years without known type 2 diabetes and area deprivation based on post code. In total, 1272 individuals in the top 25% risk category were randomized to receive one of two invitations to attend their practices for screening: an informed choice invitation or a standard invitation. The subsequent attenders completed self-report measures of future time orientation and deprivation immediately before undergoing a screening test. RESULTS: Individual-level deprivation demonstrated a significant moderator effect [F (4,635) = 4.32, P = 0.002]: individuals who were high in deprivation had lower intentions to engage in lifestyle change following receipt of the informed choice invitation. However, intentions were not patterned by deprivation when it was assessed at the area-level using the Index of Multiple Deprivation 2007. The hypothesized moderating effect of future time orientation on invitation type was also supported [F(14,613) = 2.46, P = 0.002): individuals low in future time orientation had markedly lower intentions to engage in lifestyle change following receipt of an informed choice invitation compared with a standard invitation for screening. CONCLUSION: Efforts to enhance informed choice where the implications of diagnosis are a requirement for lifestyle change may require that the immediate benefits are communicated, and efforts to address the apparent barriers to diabetes self-care are made, if the potential for inequity is to be avoided.

Predictors of anxiety and depression among people attending diabetes screening: a prospective cohort study embedded in the ADDITION (Cambridge) randomized control trial.

OBJECTIVE: This study aimed to identify factors predicting anxiety and depression among people who attend primary care-based diabetes screening. DESIGN: A prospective cohort study embedded in the ADDITION (Cambridge) randomized control trial. METHODS: Participants (N= 3,240) at risk of diabetes were identified from 10 primary care practices and invited to a stepwise screening programme as part of the ADDITION (Cambridge) trial. Main outcome measures were anxiety and depression at 12 months post-screening assessed using the Hospital Anxiety and Depression Scale (HADS). RESULTS: Hierarchical linear regressions showed that demographic, clinical, and psychological variables collectively accounted for 52% of the variance in HADS anxiety scores and 53% of the variance in HADS depression scores 12 months after diabetes screening. Screening outcome (positive or negative for diabetes) was not related to differences in anxiety or depression at 12 months. Higher number of self-reported (diabetes) symptoms after first attendance was associated with higher anxiety and depression at 12-month follow-up, after controlling for anxiety and depression after first attendance. CONCLUSION: Participants in a diabetes screening programme showed low scores on anxiety and depression scales after first appointment and 1 year later. Diagnosis of diabetes was shown to have a limited psychological impact and may be less important than symptom perception in determining emotional outcomes after participation in diabetes screening.

Who attends a UK diabetes screening programme? Findings from the ADDITION-Cambridge study.

AIMS: One of the factors influencing the cost-effectiveness of population screening for Type 2 diabetes may be uptake. We examined attendance and practice- and individual-level factors influencing uptake at each stage of a diabetes screening programme in general practice. METHODS: A stepwise screening programme was undertaken among 135, 825 people aged 40-69 years without known diabetes in 49 general practices in East England. The programme included a score based on routinely available data (age, sex, body mass index and prescribed medication) to identify those at high risk, who were offered random capillary blood glucose (RBG) and glycosylated haemoglobin tests. Those screening positive were offered fasting capillary blood glucose (FBG) and confirmatory oral glucose tolerance tests (OGTT). RESULTS: There were 33 539 high-risk individuals invited for a RBG screening test; 24 654 (74%) attended. Ninety-four per cent attended the follow-up FBG test and 82% the diagnostic OGTT. Seventy per cent of individuals completed the screening programme. Practices with higher general practitioner staff complements and those located in more deprived areas had lower uptake for RBG and FBG tests. Male sex and a higher body mass index were associated with lower attendance for RBG testing. Older age, prescription of antihypertensive medication and a higher risk score were associated with higher attendance for FBG and RBG tests. CONCLUSIONS: High attendance rates can be achieved by targeted stepwise screening of individuals assessed as high risk by data routinely available in general practice. Different strategies may be required to increase initial attendance, ensure completion of the screening programme, and reduce the risk that screening increases health inequalities.

Blood glucose self-monitoring in type 2 diabetes: a randomised controlled trial.

OBJECTIVES: To determine whether self-monitoring of blood glucose (SMBG), either alone or with additional instruction in incorporating the results into self-care, is more effective than usual care in improving glycaemic control in non-insulin-treated diabetes. DESIGN: An open, parallel group randomised controlled trial. SETTING: 24 general practices in Oxfordshire and 24 in South Yorkshire, UK. PARTICIPANTS: Patients with non-insulin-treated type 2 diabetes, aged > or = 25 years and with glycosylated haemoglobin (HbA1c) > or = 6.2%. INTERVENTIONS: A total of 453 patients were individually randomised to one of: (1) standardised usual care with 3-monthly HbA1c (control, n = 152); (2) blood glucose self-testing with patient training focused on clinician interpretation of results in addition to usual care (less intensive self-monitoring, n = 150); (3) SMBG with additional training of patients in interpretation and application of the results to enhance motivation and maintain adherence to a healthy lifestyle (more intensive self-monitoring, n = 151). MAIN OUTCOME MEASURES: The primary outcome was HBA1c at 12 months, and an intention-to-treat analysis, including all patients, was undertaken. Blood pressure, lipids, episodes of hypoglycaemia and quality of life, measured with the EuroQol 5 dimensions (EQ-5D), were secondary measures. An economic analysis was also carried out, and questionnaires were used to measure well-being, beliefs about use of SMBG and self-reports of medication taking, dietary and physical activities, and health-care resource use. RESULTS: The differences in 12-month HbA1c between the three groups (adjusted for baseline HbA1c) were not statistically significant (p = 0.12). The difference in unadjusted mean change in HbA1c from baseline to 12 months between the control and less intensive self-monitoring groups was -0.14% [95% confidence interval (CI) -0.35 to 0.07] and between the control and more intensive self-monitoring groups was -0.17% (95% CI -0.37 to 0.03). There was no evidence of a significantly different impact of self-monitoring on glycaemic control when comparing subgroups of patients defined by duration of diabetes, therapy, diabetes-related complications and EQ-5D score. The economic analysis suggested that SMBG resulted in extra health-care costs and was unlikely to be cost-effective if used routinely. There appeared to be an initial negative impact of SMBG on quality of life measured on the EQ-5D, and the potential additional lifetime gains in quality-adjusted life-years, resulting from the lower levels of risk factors achieved at the end of trial follow-up, were outweighed by these initial impacts for both SMBG groups compared with control. Some patients felt that SMBG was helpful, and there was evidence that those using more intensive self-monitoring perceived diabetes as having more serious consequences. Patients using SMBG were often not clear about the relationship between their behaviour and the test results. CONCLUSIONS: While the data do not exclude the possibility of a clinically important benefit for specific subgroups of patients in initiating good glycaemic control, SMBG by non-insulin-treated patients, with or without instruction in incorporating findings into self-care, did not lead to a significant improvement in glycaemic control compared with usual care monitored by HbA1c levels. There was no convincing evidence to support a recommendation for routine self-monitoring of all patients and no evidence of improved glycaemic control in predefined subgroups of patients.

Self-rated health does not explain the socioeconomic differential in mortality: a prospective study in the EPIC-Norfolk cohort.

BACKGROUND: Self-rated health (SRH), a subjective measure of health, is strongly predictive of mortality, independently of objective measures of health status and existing known disease. There is a strong social gradient in SRH. An investigation was carried to determine whether SRH can explain the well-known socioeconomic gradient in mortality. METHODS: The effect of adjusting for SRH on the socioeconomic differential in mortality was examined in a prospective study of 20 754 men and women aged 39-79 years, without prevalent disease, living in the general community in Norfolk, UK, recruited using general practice age-sex registers for 1993-1997 and followed up for an average of 10 years. RESULTS: Mortality risk increased with decreasing social class in men and women. There was some attenuation after adjustment for covariates age, body mass index, smoking, history of diabetes, systolic blood pressure, cholesterol level, alcohol consumption, physical activity and educational level, but a gradient remained. Further adjustment for SRH attenuated the association slightly more, but there was still some evidence of a socioeconomic differential in mortality, particularly in class V compared with class I (age- and sex-adjusted hazard ratio 1.57; 95% CI 1.19 to 2.06). CONCLUSIONS: SRH does not substantially explain the socioeconomic differential in mortality beyond that explained by health-related covariates.

Does the association between self-rated health and mortality vary by social class?

Self-rated health (SRH) predicts future mortality. Individuals in different social classes with similar physical health status may have different reference levels and criteria against which they judge their health, therefore the SRH-mortality relationship may vary according to social class. We examine the relationship between SRH and mortality by occupational social class in a prospective study of 22,457 men and women aged 39-79 years, without prevalent disease, living in the general community in Norfolk, United Kingdom, recruited using general practice age-sex registers in 1993-1997 and followed up for an average of 10 years. As expected, SRH was related to subsequent mortality. The age and sex adjusted hazard ratio for mortality for those with poor compared to those with excellent SRH was 4.35 (95% confidence interval 3.38-5.59, P<0.001). The prevalence of poor or moderate SRH was higher in manual than in non-manual classes. However, SRH was similarly related to mortality in manual and non-manual classes: when non-manual classes are compared with manual classes for each category of SRH, the 95% confidence intervals for the mortality hazard ratios overlap. There was no evidence of an interaction between social class and SRH in either men or women. Thus in this population, SRH appears to predict mortality in a similar manner in non-manual and manual classes.

Self-monitoring of blood glucose changed non-insulin-treated Type 2 diabetes patients' beliefs about diabetes and self-monitoring in a randomized trial.

AIMS: To determine whether differences in beliefs about diabetes and its treatment resulted from different intensities of self-monitoring of blood glucose (SMBG) in non-insulin treated patients with Type 2 diabetes in the Diabetes Glycaemic Education and Monitoring (DiGEM) trial. METHODS: Patients (n = 453) were randomized to usual care, less-intensive SMBG and more intensive SMBG. Beliefs about diabetes were measured with a standard questionnaire (the revised Illness Perceptions Questionnaire; IPQ-R). Changes in beliefs were analysed using analysis of covariance (ancova) with adjustment for baseline values. Mediation analyses assessed whether differences in behavioural outcomes between groups could be attributed to differences in beliefs. RESULTS: Completed questionnaires were returned by 339 patients (74.8%). Respondents were mean (+/- sd) age 65.9 +/- 10 years and with diabetes duration of 4.8 +/- 4.7 years (median 36, range 1-384 months). Concerns about the consequences of diabetes increased in both self-monitoring groups, relative to control subjects [P = 0.004; Cohen's d standardized effect size = 0.19 less intensive and d = 0.36 more intensive monitoring]. No other beliefs about diabetes differed between groups. Beliefs about the importance of self-testing increased in both self-monitoring groups relative to the usual-care group (P < 0.001; d = 0.57 less intensive and d = 0.63 more intensive monitoring). Changes in psychological well-being did not differ between groups, but control patients reported greater increases in general (P = 0.014) and specific (P < 0.001) dietary adherence than did patients in the self-monitoring groups. These outcomes were not mediated by intervention-related changes in beliefs. CONCLUSIONS: Despite changes in some beliefs about diabetes differing between groups there were no corresponding changes in self-reported health behaviours. This suggests that changes in illness beliefs resulting from SMBG do not cause changes in diabetes-related health behaviours.

How much might cardiovascular disease risk be reduced by intensive therapy in people with screen-detected diabetes?

AIMS: To assess the cardiovascular disease (CVD) risk of people with screen-detected Type 2 diabetes and to estimate the risk reduction achievable through early intensive pharmacological intervention. METHODS: In ADDITION-Cambridge, diabetic patients were identified among people aged 40-69 years through a stepwise screening procedure including a risk score, random and fasting capillary blood glucose, HbA(1c) and oral glucose tolerance test. In those without prior macrovascular disease, 10-year CVD risk was computed using UK Prospective Diabetes Study (UKPDS) and Framingham engines. The absolute risk reduction achievable and its plausible range were predicted using relative risk reductions for individual therapies from published trials and sensitivity analysis. RESULTS: Of the 867 individuals with undiagnosed diabetes, 19% had pre-existing CVD, 97% were overweight or obese, 86% had hypertension, 75% had dyslipidaemia, 20% had microalbuminuria and 18% were smokers. Of those with hypertension, 35% were not prescribed drugs and 42% were suboptimally treated. Of participants with dyslipidaemia, 68% were not prescribed medications and 22% were poorly controlled. Median 10-year CVD risk was 34.0%[interquartile range (IQR) 26.2-44.6] in men and 21.5% (IQR 15.7-28.7) in women using the UKPDS engine; 38.6% (IQR 27.8-53.0) in men and 24.6% (IQR 17.2-32.9) in women using Framingham equations. In the most conservative scenario (no additive effect of therapies), the absolute risk reduction achievable through multifactorial therapy ranged from 4.9 to 9.5% (UKPDS) and from 5.4 to 10.5% (Framingham). The corresponding ranges of numbers needed to treat were 11-20 and 10-19. CONCLUSIONS: People with screen-detected diabetes have an adverse cardiovascular risk profile, which is potentially modifiable through application of existing treatment recommendations.

The GRAIDS Trial: a cluster randomised controlled trial of computer decision support for the management of familial cancer risk in primary care.

The objective was to evaluate the effect of an assessment strategy using the computer decision support system (the GRAIDS software), on the management of familial cancer risk in British general practice in comparison with best current practice. The design included cluster randomised controlled trial, and involved forty-five general practice teams in East Anglia, UK. Randomised to GRAIDS (Genetic Risk Assessment on the Internet with Decision Support) support (intervention n=23) or comparison (n=22). Training in the new assessment strategy and access to the GRAIDS software (GRAIDS arm) was conducted, compared with an educational session and guidelines about managing familial breast and colorectal cancer risk (comparison) were mailed. Outcomes were measured at practice, practitioner and patient levels. The primary outcome measure, at practice level, was the proportion of referrals made to the Regional Genetics Clinic for familial breast or colorectal cancer that were consistent with referral guidelines. Other measures included practitioner confidence in managing familial cancer (GRAIDS arm only) and, in patients: cancer worry, risk perception and knowledge about familial cancer. There were more referrals to the Regional Genetics Clinic from GRAIDS than comparison practices (mean 6.2 and 3.2 referrals per 10 000 registered patients per year; mean difference 3.0 referrals; 95% confidence interval (CI) 1.2-4.8; P=0.001); referrals from GRAIDS practices were more likely to be consistent with referral guidelines (odds ratio (OR)=5.2; 95% CI 1.7-15.8, P=0.006). Patients referred from GRAIDS practices had lower cancer worry scores at the point of referral (mean difference -1.44 95% CI -2.64 to -0.23, P=0.02). There were no differences in patient knowledge about familial cancer. The intervention increased GPs' confidence in managing familial cancer. Compared with education and mailed guidelines, assessment including computer decision support increased the number and quality of referrals to the Regional Genetics Clinic for familial cancer risk, improved practitioner confidence and had no adverse psychological effects in patients. Trials are registered under N0181144343 in the UK National Research Register.

What determines the cost-effectiveness of diabetes screening?

AIMS/HYPOTHESIS: The cost-effectiveness of screening for diabetes is unknown but has been modelled previously. None of these models has taken account of uncertainty. We aimed to describe these uncertainties in a model where the outcome was CHD risk. SUBJECTS AND METHODS: Our model used population data from the Danish Inter99 study, and simulations were run in a theoretical population of 1,000,000 individuals. CHD risk was estimated using the UK Prospective Diabetes Study (UKPDS) risk engine, and risk reduction from published randomised clinical trials. Probabilistic sensitivity analysis was used to provide confidence intervals for modelled outputs. Uncertain parameter values were independently simulated from distributions derived from existing literature and deterministic sensitivity analysis performed using multiple model runs under different strategy choices and using extreme parameter estimates. RESULTS: In the least conservative model (low costs and multiplicative risk reduction for combined treatments), the 95% confidence interval of the incremental cost-effectiveness ratio varied from pound23,300-82,000. The major contributors to this uncertainty were treatment risk reduction model parameters: the risk reduction for hypertension treatment and UKPDS risk model intercept. Overall cost-effectiveness ratio was not sensitive to decisions about which groups to screen, nor the costs of screening or treatment. It was strongly affected by assumptions about how treatments combine to reduce risk. CONCLUSIONS/INTERPRETATION: Our model suggests that there is considerable uncertainty about whether or not screening for diabetes would be cost-effective. The most important but uncertain parameter is the effect of treatment. In addition to directly influencing current policy decisions, health care modelling can identify important unknown or uncertain parameters that may be the target of future research.

Measuring beliefs about taking hypoglycaemic medication among people with Type 2 diabetes.

AIMS: Identifying patients' beliefs about taking medication can inform interventions to support medication taking, and their evaluation. We set out to establish the range of these beliefs, and measure the frequency of commonly held beliefs and their correlation with intention to take medication and self-reported medication adherence. METHODS: An exploratory survey among Type 2 diabetic patients aged 40 years or older, registered in general practice, used a questionnaire measuring a range of plausible beliefs about taking and intention to take medication developed from interviews where belief elicitation was guided by the Theory of Planned Behaviour. The Medication Adherence Report Schedule was used as a self-report adherence measure. RESULTS: Questionnaires were returned by 121 (61.7%) people. The majority strongly agreed with statements about the benefits of taking medication. Negative beliefs that taking medication would 'cause unpleasant side effects' and 'lead to weight gain' were held by 32.8 [corrected] and 13.9% of people, respectively. Beliefs about benefit were strongly associated with intention to take medication regularly. Two beliefs were associated with reduced medication adherence: 'changes to my daily routine would make it more difficult to take my diabetes medicines regularly' (P < 0.001), and 'if I were to take my diabetes medicines regularly this would lead to my gaining weight' (P < 0.01) [corrected] CONCLUSIONS: Use of a theoretical model to elicit and identify common beliefs about taking medication regularly underscores the importance of exploring weight-gain concerns and how to keep taking tablets when routines change. Beliefs associated with intention and taking medication will inform intervention development, implementation and evaluation in randomized controlled studies.

Evidence against the use of lumbar spine radiography for low back pain.

AIM: To review abnormalities reported on plain radiographic examination of the lumbar spine in patients referred with low back pain by general practitioners. Additionally, we evaluated and stratified the prevalence of these abnormalities by age. Finally, the diagnostic impact of lumbar spine radiography for the diagnosis of degenerative change, fracture, infection and possible tumour, was modelled. MATERIALS AND METHODS: A retrospective review of 2007 radiographic reports of patients referred with low back pain for lumbar spine radiography to a large radiology department was performed. The reports were classified into different diagnostic groups and subsequently stratified according to age. The potential diagnostic impact of lumbar spine radiography was modelled by using the prevalence of conditions studied as pre-test probabilities of disease. RESULTS: The prevalence of reported lumbar spine degeneration increased with age to 71% in patients aged 65-74 years. The overall prevalence of fracture, possible infection, possible tumour was low in our study population: 4, 0.8 and 0.7%, respectively. Fracture and possible infection showed no association with age. Possible tumour was only reported in patients older than 55 years of age. CONCLUSION: Although the prevalence of degenerative changes was high in older patients, the therapeutic consequences of diagnosing this abnormality are minor. The prevalence of possible serious conditions was very low in all age categories, which implies radiation exposure in many patients with no significant lesions.

Dimensional perspective on the recognition of depressive symptoms in primary care: The Hampshire Depression Project 3.

BACKGROUND: Most studies of the recognition of depression in primary care have used a categorical definition of depression. This may overstate the extent of the problem. AIMS: Our objective was to investigate the relationship between severity and recognition of depression, and its modification by patient and practitioner characteristics. METHOD: An association study in multiple consecutive adult cohorts of 18 414 primary care consultations drawn from a representative sample of 156 general practitioners in Hampshire, UK. RESULTS: There was a curvilinear relationship between the severity of depression and practitioners' ratings of depression. One case of probable depression was missed in every 28.6 consultations. Anxiety and unemployment altered the chances of recognition, but age, gender and deprivation scores did not. CONCLUSIONS: A dimensional approach to severity of depression shows that general practitioners may be better able to recognise depression than previous categorical studies have suggested. Efforts to improve the care of depression should therefore focus on doctors who have been shown to have difficulty making the diagnosis and on improving the treatment of identified patients.

Experiences and expectations of the new genetics in relation to familial risk of breast cancer: a comparison of the views of GPs and practice nurses.

BACKGROUND: Advances in genetics may change the practice of medicine in many ways. Ascertaining practitioners' perceptions about managing the risk of familial breast cancer can give an insight into the current and expected impact on general practice to inform relevant education. Little is known about the practice nurses' (PNs) views of the new genetics in comparison with those of the GP. OBJECTIVES: Our aim was to describe and compare the views of GPs and PNs on their experiences and expectations of the new genetics in relation to managing familial risk of breast cancer. METHOD: A questionnaire, assessing views on the current and future impact of genetic advances in general and on the management of women with a familial risk of breast cancer, was sent to all GPs and PNs in the 66 practices of the Cambridge and Huntingdon Health Authority. RESULTS: There was a 69% response rate. The words 'cautious', 'mixed feelings', 'hopeful' and 'optimistic' were used most frequently in response to views on genetic advances, but PNs chose more positive words than GPs (P < 0.001). PNs were also more optimistic than GPs in relation to the future positive impact of genetics on practice (P < 0.0001). Sixty-one per cent of GPs and 45% of PNs agreed that genetic advances in relation to breast cancer were already affecting their work. A minority of practitioners had attended recent educational events in risk assessment for breast cancer, and only 8% of GPs reported a practice policy on familial breast cancer risk management. CONCLUSIONS: GPs and PNs show a cautious optimism in relation to advances in genetics, with PNs most optimistic. Many perceive that genetic advances in relation to breast cancer are already affecting their workloads, yet educational attendance and practice policies are lacking. Given PN involvement, multi-professional education may be appropriate. Education about risk management, including family history and genetics, might be better integrated into more general teaching on the prevention and management of breast cancer, than taught alone.

Prevalence of untreated asthma in a population sample of 6000 older adults in Bristol, UK.

BACKGROUND: A study was undertaken to estimate the prevalence of untreated asthma in older adults. METHODS: A cross sectional population based survey of 6000 men and women aged 65 years and over was performed in 21 general practices in north Bristol, south west England. The main outcome measure was untreated asthma as defined by a two stage process comprising a respiratory questionnaire (symptoms suggestive of asthma or doctor diagnosed asthma not receiving respiratory treatment) followed by lung function tests (significant reversibility following bronchodilators or corticosteroids and/or significant within day variability in peak expiratory flow). RESULTS: 4792 of the 6000 participants (80%) completed the respiratory questionnaire and, of those not receiving respiratory treatment, 55 reported a previous doctor diagnosis of asthma and a further 696 had symptoms suggestive of asthma. Lung function testing in 280 of 501 randomly selected individuals from these groups resulted in 38 being defined as having asthma and an estimated population prevalence for untreated asthma of 2.4% (95% CI 1.6% to 3.6%) in men and 1.2% (95% CI 0.7% to 2.1%) in women. Most subjects (84%) with untreated asthma had moderate or severe disease. Untreated asthma was most common in individuals with doctor diagnosed asthma (21%) and those with breathlessness or wheeze (13-20%). CONCLUSION: Untreated asthma in the elderly is a common and important problem. Opportunistic use of appropriate lung function tests in older people with a history of doctor diagnosed asthma or wheeze or breathlessness at rest could identify untreated asthmatics who might benefit from treatment.