Good-quality social care for people with Parkinson's disease: a qualitative study.

OBJECTIVES: The study examines the meaning of good-quality social care for people with Parkinson's disease and their carers. It identifies, from their perspective, the impact of good-quality social care on health and well-being. DESIGN: Qualitative case study methodology, interview and framework analysis techniques were used. SETTING: community locations in the north and midlands of England. PARTICIPANTS: Data were collected from 43 participants including individual interviews with people with Parkinson's disease (n=4), formal and informal social care providers (n=13), 2 focus groups, 1 with people with Parkinson's disease and their carers (n=17), and 1 with professionals (n=8), plus a telephone interview with a former commissioner. FINDINGS: Good-quality social care, delivered in a timely fashion, was reported to have a positive impact on health. Furthermore, there is an indication that good-quality social care can prevent untoward events, such as infections, symptom deterioration and deterioration in mental health. The concept of the 'Impact Gap' developed from the findings, illustrates how the costs of care may be reduced by delivering good-quality social care. Control, choice and maintaining independence emerged as indicators of good-quality social care, irrespective of clinical condition. Participants identified characteristics indicative of good-quality social care specific to Parkinson's disease, including understanding Parkinson's disease, appropriate administration of medication, timing of care and reassessment. 'Parkinson's aware' social care was seen to generate psychological, physical and social benefits that were inter-related. CONCLUSIONS: The findings indicate how maximising quality in social care delivery for people with Parkinson's disease can impact on health and well-being. Long-term or short-term benefits may result in prevented events and reductions in health and social care resource. Health professionals can be instrumental in early detection of and signposting to social care.

Developing a framework for estimating the potential impact of obesity interventions in a European city.

Obesity is a global challenge for healthy populations. It has given rise to a wide range of public health interventions, focusing on supportive environments and lifestyle change, including diet, physical activity and behavioural change initiatives. Impact is variable. However, more evidence is slowly becoming available and is being used to develop new interventions. In a period of austerity, momentum is building to review these initiatives and understand what they do, how they do it and how they fit together. Our project seeks to develop a relatively straight forward systematic framework using readily accessible data to map the complex web of initiatives at a policy, population, group and individual level aiming to promote healthy lifestyles, diet and physical activity levels or to reduce obesity through medical treatments in a city or municipality population. It produces a system for classifying different types of interventions into groupings which will enable commissioners to assess the scope and distribution of interventions and make a judgement about gaps in provision and the likely impact on mean body mass index (BMI) as a proxy measure for health. Estimated impact in each level or type of intervention is based upon a summary of the scientific evidence of clinical and/or cost effectiveness. Finally it seeks, where possible, to quantify the potential effects of different types of interventions on BMI and produce a cost per unit of BMI reduced. This approach is less sophisticated but identifies the areas where more sophisticated evaluation would add value.

Developing a model to estimate the potential impact of municipal investment on city health.

This article summarizes a process which exemplifies the potential impact of municipal investment on the burden of cardiovascular disease (CVD) in city populations. We report on Developing an evidence-based approach to city public health planning and investment in Europe (DECiPHEr), a project part funded by the European Union. It had twin objectives: first, to develop and validate a vocational educational training package for policy makers and political decision takers; second, to use this opportunity to iterate a robust and user-friendly investment tool for maximizing the public health impact of 'mainstream' municipal policies, programs and investments. There were seven stages in the development process shared by an academic team from Sheffield Hallam University and partners from four cities drawn from the WHO European Healthy Cities Network. There were five iterations of the model resulting from this process. The initial focus was CVD as the biggest cause of death and disability in Europe. Our original prototype 'cost offset' model was confined to proximal determinants of CVD, utilizing modified 'Framingham' equations to estimate the impact of population level cardiovascular risk factor reduction on future demand for acute hospital admissions. The DECiPHEr iterations first extended the scope of the model to distal determinants and then focused progressively on practical interventions. Six key domains of local influence on population health were introduced into the model by the development process: education, housing, environment, public health, economy and security. Deploying a realist synthesis methodology, the model then connected distal with proximal determinants of CVD. Existing scientific evidence and cities' experiential knowledge were 'plugged-in' or 'triangulated' to elaborate the causal pathways from domain interventions to public health impacts. A key product is an enhanced version of the cost offset model, named Sheffield Health Effectiveness Framework Tool, incorporating both proximal and distal determinants in estimating the cost benefits of domain interventions. A key message is that the insights of the policy community are essential in developing and then utilising such a predictive tool.

The impact of population-based identification of chronic kidney disease using estimated glomerular filtration rate (eGFR) reporting.

BACKGROUND: The object of this study was to determine the impact of estimated glomerular filtration rate (eGFR) reporting, as part of a disease management programme (DMP), and clarify the prevalence of chronic kidney disease (CKD) and the level of un-met need in a UK Primary Care Trust. METHODS: Our approach was to prospectively identify patients with an eGFR <60 ml/min/1.73 m(2) using the four-variable MDRD equation in all patients from West Lincolnshire PCT (population 185 434 over the age of 15 years) having a routine estimation of serum creatinine. RESULTS: During the first 12 months of the programme 25.4% of the population had an eGFR reported. The likelihood of having an eGFR reported increased markedly with age. The prevalence of CKD stages 3-5 within primary care was 7.3%. Only 3.7% of patients with CKD stages 3-5 were under nephrology care compared to 13.7% in non-nephrology secondary care and 82.6% in primary care. There were marked differences in the male to female ratio between primary care and nephrology care, 1:1.9 versus 0.6:1, respectively (P < 0.001). The incidence of newly identified patients with CKD stages 4 and 5 was 0.16%. Initially there was a marked (up to 7-fold month on month) rise in nephrology referrals following institution of eGFR reporting which was reversed by the introduction of a referral management service as part of the DMP. Only 33% of patients with CKD stage 4 or 5, identified from within primary care, went on to have a nephrology referral in the subsequent 12 months compared with 44% and 78% respectively identified from non-nephrology secondary care (P < 0.001). CONCLUSIONS: The reporting of the eGFR in association with this DMP effectively identified patients with CKD. A referral assessment programme can effectively ensure appropriate nephrology referral and avoids exceeding the capacity of nephrology services. The vast majority of patients with CKD stages 3-5 are cared for within primary care. There are marked gender differences in the prevalence of CKD stages 3-5 that are not reflected by referral patterns to nephrology services. There are significant differences in referral practices between primary and secondary care. In a steady state the burden of incident patients with CKD stages 4-5 should not exceed the capacity of the local nephrology service.

Primary care-based disease management of chronic kidney disease (CKD), based on estimated glomerular filtration rate (eGFR) reporting, improves patient outcomes.

BACKGROUND: The majority of patients with chronic kidney disease (CKD) stages 3-5 are managed within primary care. We describe the effects, on patient outcomes, of the introduction of an algorithm-based, primary care disease management programme (DMP) for patients with CKD based on automated diagnosis using estimated glomerular filtration rate (eGFR) reporting. METHODS: Patients within West Lincolnshire Primary Care Trust, UK, population 223, 287 with CKD stage 4 or 5 were enrolled within the DMP between March 2005 and October 2006. We have analysed the performance against clinical targets looking at a change in renal function prior to and following joining the DMP and the proportion of patients achieving clinical targets for blood pressure control and lipid abnormalities. RESULTS: Four hundred and eighty-three patients with CKD stage 4 or 5 were enrolled in the programme. There were significant improvements in the following parameters, expressed as median values (interquartile range) after 9 months in the programme, compared to baseline and percentage values patients achieving target at 9 months: total cholesterol 4.2 (3.45-5.0) mmol/l versus 4.6 (3.9-5.4) mmol/l (P < 0.01), 75.0% versus 64.5% (P < 0.001); LDL 2.2 (1.6-2.8) mmol/l versus 2.5 (1.9-3.2) mmol/l (P < 0.01), 81.9% versus 69.2% (P < 0.05); systolic blood pressure 130 (125-145) mmHg versus 139 (124-154) mmHg (P < 0.05), 56.2% versus 37.1% (P < 0.05) and diastolic blood pressure 71 (65-79) mmHg versus 76 (69-84) mmHg (P < 0.01), 68.4% versus 90.3% (P < 0.01). The median fall (interquartile range) in eGFR in the 9 months prior to joining the programme was 3.69 (1.49-7.46) ml/min/1.73 m(2) compared to 0.32 (-2.61-3.12) ml/min/1.73 m(2) in the 12 months after enrolment (P < 0.001). One hundred and twenty-two patients experienced a fall in eGFR of > or = 5 ml/min/1.73 m(2), median 9.90 (6.55-12.36) ml/min/1.73 m(2) in the 9 months prior to joining the programme, whilst in the 12 months after enrolment, their median fall in eGFR was -1.70 (-6.41-1.64) ml/min/1.73 m(2) (P < 0.001). In the remaining patients, the median fall in eGFR was 1.92 (0.41-3.23) ml/min/1.73 m(2) prior to joining the programme and 0.86 (-1.03-3.53) ml/min/1.73 m(2) in the 12 months after enrolment (P = 0.082). CONCLUSIONS: These data suggest that chronic disease management in this form is an effective method of identifying and managing patients with CKD within the UK. The improvement in cardiovascular risk factors and reduction in the rate of decline of renal function potentially have significant health benefits for the patients and should result in cost savings for the health economy.

Predicting the impact of population level risk reduction in cardio-vascular disease and stroke on acute hospital admission rates over a 5 year period--a pilot study.

UNLABELLED: The brief for this study was to produce a practical, evidence based, financial planning tool, which could be used to present an economic argument for funding a public health-based prevention programme in coronary heart disease (CHD) related illness on the same basis as treatment interventions. OBJECTIVES: To explore the possibility of using multivariate risk prediction equations, derived from the Framingham and other studies, to estimate how many people in a population are likely to be admitted to hospital in the next 5-10 years with cardio vascular disease (CVD) related events such as heart attacks, strokes, heart failure and kidney disease. To estimate the potential financial impact of reductions in hospital admissions, on an 'invest to save' basis, if primary care trusts (PCTs) were to invest in public health based interventions to reduce cardiovascular risk at a population level. STUDY DESIGN: The populations of five UK PCTs were entered into a spreadsheet based decision tree model, in terms of age and sex (this equated to around 620,000 adults). An estimation was made to determine how many people, in each age group, were likely to be diabetic. Population risk factors such as smoking rates, mean body mass index (BMI), mean total cholesterol and mean systolic blood pressure were entered by age group. The spreadsheet then used a variant of the Framingham equation to calculate how many non-diabetic people in each age group were likely to have a heart attack or stroke in the next 5 years. In addition heart failure and dialysis admission rates were estimated based upon risk factors for incidence. The United Kingdom Prospective Diabetes Study (UKPDS) risk engines 56 and 60 were used to calculate the risk of CHD and stroke, respectively, in people with type 2 diabetes. The spreadsheet deducted the number of people likely to die before reaching hospital and produced a predicted number of hospital admissions for each category over a 5-year period. The final part of the calculation attached a cost to the hospital activity using the UK Health Resource Grouping (HRG) tariffs. The predicted number of events in each of the primary care trusts was then compared with the actual number of events the previous year (2004/2005). METHODOLOGY: The study used a decision tree type model, which was populated with data from the research literature. The model applied the risk equations to population data from five primary care trusts to estimate how many people would suffer from an acute CVD related event over the next 5 years. The predicted number of events was then compared with the actual number of acute admissions for heart attacks, strokes, heart failure, acute hypoglycaemic attacks, renal failure and coronary bypass surgery the previous year. RESULTS: The first outcome of the model was to compare the estimated number of people in each PCT likely to suffer from a heart attack, a stroke, heart failure or chronic kidney failure with the actual number the previous year 2004/2005. The predicted number was remarkably accurate in the case of heart attack and stroke. There was some over-prediction of chronic kidney disease (CKD) which could be accounted for by known under-diagnosis in this illness group and the inability of the model to pick up, at this stage, the fact that many CKD patients die of a CHD related event before they reach the stage of requiring renal replacement. The second outcome of the model was to estimate the financial consequence of risk reduction. Moderate reductions in risk in the order of around 2-4% were estimated to lead to saving in acute admission costs or around pounds sterling 5.4 million over 5 years. More ambitious targets of risk reduction in the order of 5-6% led to estimated savings of around pounds sterling 8.7 million. CONCLUSIONS: This study is not presented as the definitive approach to predicting the economic consequences of investment in public health on the cost of secondary care. It is simply a logical, systematic approach to quantifying these issues in order to present a business case for such investment. The research team do not know if the predicted savings would accrue from such investments; it is theoretical at this stage. The point is, however, that if the predictions are correct then the savings will accrue from over 4000 people, from an adult population of around 185,000 not having a heart attack or a stroke or an acute exacerbation of heart failure.

Economic implications of the use of basiliximab in addition to triple immunosuppressive therapy in renal allograft recipients: a UK perspective.

OBJECTIVE: To compare resource use and costs in renal transplant recipients treated with basiliximab or placebo plus triple immunosuppressive therapy. DESIGN: International randomised, double-blind, placebo-controlled trial; economic evaluation undertaken alongside the efficacy trial. The economic evaluation was performed from a UK National Health Service hospital perspective. SETTING: 31 centres in 12 countries. PARTICIPANTS: 345 renal transplant recipients were enrolled; 340 were randomised (basiliximab 168; placebo 172) and included in the intention-to-treat analysis. INTERVENTION: Treatment with placebo or basiliximab (20mg intravenous bolus) on day 0 and day 4 after transplantation. MAIN OUTCOME MEASURES: Resource utilisation in multiple categories and treatment costs for basiliximab and placebo-treated patients during the 6-month post-transplantation period. RESULTS: No statistically significant differences were found in any of the economically important categories of resource use or in the mean cost of treatment per person across the whole trial. The mean cost of treatment, including the cost of basiliximab, was pound 16 095 for basiliximab recipients and pound 15 864 (1997/1998 costs) for placebo recipients, a mean difference of pound 231 (95% CI: - pound 1983 to pound 2446), which was not significant. Basiliximab treatment led to a significant reduction in acute rejection episodes (basiliximab 20.8%; placebo 34.9%; p = 0.005). CONCLUSIONS: Basiliximab therapy confers a significant clinical benefit to renal transplant recipients without increasing overall treatment costs.