Relation between night visit rates and deprivation measures in one general practice.

OBJECTIVE--To compare night visit rates in different electoral wards of one general practice with the Jarman and Townsend deprivation scores and unemployment rates. DESIGN--Analysis of computerised workload data. SETTING--General practice in centre of Mansfield, Nottinghamshire. OUTCOME MEASURE--Visits made in 588 nights to the 11,998 patients on the practice list. RESULTS--Night visit rates in 15 electoral wards varied from 19.6 to 55.3 visits per 1000 patients per year. The rates showed a significant association with the Townsend score (p = 0.004) and the unemployment rate (p = 0.03) but not with the Jarman score (p = 0.3). The Townsend score explained 49% of the variability; unemployment explained 31% and the Jarman score explained 9%. CONCLUSIONS--Even in a general practice not eligible for deprivation payments there was a 2.8-fold variation in night visit rates between wards. In this practice the Townsend score was significantly better at predicting night visit rates than the Jarman score. This method of looking at internal variation in workloads in computerised practices could give more direct data on the relation between deprivation and general practice workload than has previously been available.     

Influences of practice characteristics on prescribing in fundholding and non-fundholding general practices: an observational study.

OBJECTIVE: To investigate the variation in prescribing among general practices by examining the contribution to this variation of fundholding, training status, partnership status, and the level of deprivation in the practice population and to investigate the extent to which fundholding has been responsible for any changes in prescribing. DESIGN: Analysis of prescribing data (PACT) for the years 1990-1 (before fundholding) and 1993-4 (after fundholding), Use of multiple linear regressions to investigate the variation among practices in total prescribing costs (net ingredient cost per prescribing units), and mean cost per item in each of the two years and also the change in these variables between years. SETTING: Former Mersey region. SUBJECTS: 384 practices. RESULTS: The models developed explained the variation in cost per item (43% of variation explained for 1990-1, 38% for 1993-4) and prescribing volume (34% for 1990-1, 38% for 1993-4) better than the variation in total prescribing costs (3% for 1990-1, 7% for 1993-4). The models developed to explain the change in these variables between years did not explain more than 10% of the variation. Most of the explained variation in the change in total prescribing costs was accounted for by fundholding. Of the pounds 3.71 saved by first wave fundholders compared with non-fundholders pounds 3.57 was attributable to fundholding alone. CONCLUSION: In neither year did fundholding make a major contribution to the variation in prescribing behaviour among practices, which was better explained by deprivation, training status, and partnership status, but it did seem largely responsible for differences in the rise of total prescribing costs between fundholders and non fundholders.     

Relation of out of hours activity by general practice and accident and emergency services with deprivation in Nottingham: longitudinal survey.

OBJECTIVES: To investigate the relation between out of hours activity of general practice and accident and emergency services with deprivation and distance from accident and emergency department. DESIGN: Six month longitudinal study. SETTING: Six general practices and the sole accident and emergency department in Nottingham. SUBJECTS: 4745 out of hours contacts generated by 45,182 patients from 23 electoral wards registered with six practices. MAIN OUTCOME MEASURES: Rates of out of hours contacts for general practice and accident and emergency services calculated by electoral ward; Jarman and Townsend deprivation scores and distance from accident and emergency department of electoral wards. RESULTS: Distances of wards from accident and emergency department ranged from 0.8 to 9 km, and Jarman deprivation scores ranged from -23.4 to 51.8. Out of hours contacts varied by ward from 110 to 350 events/1000 patients/year, and 58% of this variation was explained by the Jarman score. General practice and accident and emergency rates were positively correlated (Pearson coefficient 0.50, P = 0.015). Proximity to accident and emergency department was not significantly associated with increased activity when deprivation was included in regression analysis. One practice had substantially higher out of hours activity (B coefficient 124 (95% confidence interval 67 to 181)) even when deprivation was included in regression analysis. CONCLUSIONS: A disproportionate amount of out of hours workload fell on deprived inner city practices. High general practice and high accident and emergency activity occurred in the same areas rather than one service substituting for the other.     

Association between mortality among women and socioeconomic factors in general practices in Edinburgh: an application of small area statistics.

Women aged 45-64 in 78 general practices in the city of Edinburgh were followed up for five to seven years and all cause mortality noted. Standardised mortality ratios were calculated for the individual practices. Postcodes were available for a 20% sample of these women and were used to retrieve relevant measures of social class and deprivation from the 1981 census for the smallest division, the enumeration district. Weighted averages gave socioeconomic variables at the level of the general practice. High positive correlations were found between standardised mortality ratios and the socioeconomic variables, with the highest being for percentage overcrowding. This study established that the relation between deprivation and excess mortality can be shown in general practices in one large city and gave a direct relation for women without reference to their husbands'' occupations, thus obviating problems of assigning social class. The data also partially refute the "social drift" hypothesis as an explanation of the association between mortality and social class.     

Cost Trend Analysis of Initial Cancer Treatment in Taiwan

Background

Despite the high cost of initial cancer care, that is, care in the first year after diagnosis, limited information is available for specific categories of cancer-related costs, especially costs for specific services. This study purposed to identify causes of change in cancer treatment costs over time and to perform trend analyses of the percentage of cancer patients who had received a specific treatment type and the mean cost of care for patients who had received that treatment.

Methodology/Principal Findings

The analysis of trends in initial treatment costs focused on cancer-related surgery, chemotherapy, radiation therapy, and treatments other than active treatments. For each cancer-specific trend, slopes were calculated for regression models with 95% confidence intervals. Analyses of patients diagnosed in 2007 showed that the National Health Insurance (NHI) system paid, on average, $10,780 for initial care of a gastric cancer patient and $10,681 for initial care of a lung cancer patient, which were inflation-adjusted increases of $6,234 and $5,522, respectively, over the 1996 care costs. During the same interval, the mean NHI payment for initial care for the five specific cancers increased significantly (p<0.05). Hospitalization costs comprised the largest portion of payments for all cancers. During 1996–2007, the use of chemotherapy and radiation therapy significantly increased in all cancer types (p<0.05). In 2007, NHI payments for initial care for these five cancers exceeded $12 billion, and gastric and lung cancers accounted for the largest share.

Conclusions/Significance

In addition to the growing number of NHI beneficiaries with cancer, treatment costs and the percentage of patients who undergo treatment are growing. Therefore, the NHI must accurately predict the economic burden of new chemotherapy agents and radiation therapies and may need to develop programs for stratifying patients according to their potential benefit from these expensive treatments.     

The Impact of Hospice Care on Survival and Healthcare Costs for Patients with Lung Cancer: A National Longitudinal Population-Based Study in Taiwan

Background

The healthcare costs of cancer care are highest in the last month of life. The effect of hospice care on end-of-life (EOL) healthcare costs is not clearly understood.

Purpose

The purpose of this study was to evaluate the effect of hospice care on survival and healthcare costs for lung cancer patients in their final month of life.

Methods

We adopted Taiwan’s National Health Insurance Research Claims Database to analyze data for 3399 adult lung cancer patients who died in 1997–2011. A logistic regression analysis was performed to determine the predictors of high healthcare cost, defined as costs falling above the 90th percentile. Patients who received hospice cares were assigned to a hospice (H) group and those who did not were assigned to a non-hospice (non-H) group.

Results

The patients in the H group had a longer mean (median) survival time than those in the non-H group did (1.40 ± 1.61 y (0.86) vs. 1.10 ± 1.47 (0.61), p<0.001). The non-H group had a lower mean healthcare cost than the H group (US $1,821 ± 2,441 vs. US $1,839 ± 1,638, p<0.001). And, there were a total of 340 patients (10%) with the healthcare costs exceeding the 90th percentile (US $4,721) as the cutoff value of high cost. The non-H group had a higher risk of high cost than the H group because many more cases in the non-H group had lower costs. Moreover, the risk of high health care costs were predicted for patients who did not receive hospice care (odds ratio [OR]: 3.68, 95% confidence interval [CI]: 2.44–5.79), received chemotherapy (OR: 1.51, 95% CI: 1.18–1.96) and intubation (OR: 2.63, 95% CI: 1.64–4.16), and those who had more emergency department visits (OR: 1.78, 95% CI: 1.24–2.52), longer hospital admission in days (OR: 1.08, 95% CI: 1.07–1.09), and received radiotherapy (OR: 1.33, 95% CI: 1.00–1.78). Lower risks of high health care costs were observed in patients with low socioeconomic status (OR: 0.58, 95% CI: 0.40–0.83), or previous employment (OR: 0.66, 95% CI: 0.47–0.92). After propensity-score matching, the patients of the non-H group had a higher mean cost and a higher risk of high cost. Similar results were obtained from logistic regression analysis in propensity score-matched patients.

Conclusions

The survival of the hospice group was longer than non-H group, and patients in the non-H group were 3.74 times more likely to have high healthcare costs at EOL. The positive predictors for high health care costs were patients who did not receive hospice care, who received chemotherapy and intubation, who had more emergency department visits and longer hospital admission, and who received radiotherapy. Negative predictors were patients who had a low socioeconomic status or previous employment. The issue of how to reduce the high health care costs for patients with lung cancer in the last month of life is a challenge for policy makers and health care providers.     

Cross sectional study of primary care groups in London: association of measures of socioeconomic and health status with hospital admission rates

ObjectivesTo calculate socioeconomic and health status measures for the primary care groups in London and to examine the association between these measures and hospital admission rates.DesignCross sectional study.Setting66 primary care groups in London, total list size 8.0 million people.ResultsStandardised hospital admission ratios varied from 74 to 116 for total admissions and from 50 to 124 for emergency admissions. Directly standardised admission rates for asthma varied from 152 to 801 per 100 000 (mean 364) and for diabetes from 235 to 1034 per 100 000 (mean 538). There were large differences in the mortality, socioeconomic, and general practice characteristics of the primary care groups. Hospital admission rates were significantly correlated with many of the measures of chronic illness and deprivation. The strongest correlations were with disability living allowance (R=0.64 for total admissions and R=0.62 for emergency admissions, P<0.0001). Practice characteristics were less strongly associated with hospital admission rates.ConclusionsIt is feasible to produce a range of socioeconomic, health status, and practice measures for primary care groups for use in needs assessment and in planning and monitoring health services. These measures show that primary care groups have highly variable patient and practice characteristics and that hospital admission rates are associated with chronic illness and deprivation. These variations will need to be taken into account when assessing performance.     

The West of Scotland coronary prevention study: economic benefit analysis of primary prevention with pravastatin.

OBJECTIVE: To estimate the economic efficiency of using pravastatin to prevent the transition from health to cardiovascular disease in men with hypercholesterolaemia. DESIGN: Economic benefit analysis based on data from the West of Scotland coronary prevention study. Treatment specific hazards of developing cardiovascular disease according to various definitions were estimated. Scottish record linkage data provided disease specific survival. Cost estimates were based on extracontractual tariffs and event specific average lengths of stay calculated from the West of Scotland coronary prevention study. SUBJECTS: Men with hypercholesterolaemia similar to the subjects in the West of Scotland coronary prevention study. MAIN OUTCOME: Cost consequences, the number of transitions from health to cardiovascular disease prevented, the number needed to start treatment, and cost per life year gained. RESULTS: If 10,000 of these men started taking pravastatin, 318 of them would not make the transition from health to cardiovascular disease (number needed to treat, 31.4), at a net discounted cost of 20m Pounds over 5 years. These benefits imply an undiscounted gain of 2,460 years of life, and thus 8121 Pounds per life year gained, or 20,375 Pounds per life year gained if benefits are discounted. Restriction to the 40% of men at highest risk reduces the number needed to treat to 22.5 (5601 Pounds per life year gained (undiscounted) and 13,995 Pounds per life year gained (discounted)). CONCLUSIONS: In subjects without evidence of prior myocardial infarction but who have hypercholesterolaemia, the use of pravastatin yields substantial health benefits at a cost that is not prohibitive overall and can be quite efficient in selected high risk subgroups.     

Fundholding: a two tier system?

The Calverton practice is one of 30 fundholding practices in Nottinghamshire. Three years after the inception of fundholding, it has achieved a lower outpatient waiting time for its specialist clinics than non-fundholding practices in the region. Its district nursing and health visiting services have been strengthened. Prescribing costs remain below the national average, and making further cost reductions has not been easy. The business plan has allowed the practice to work within a defined budget and develop expertise in the purchasing of services. Through the provision of specialist clinics and increased patient demand the workload of general practitioners has risen by 15% in the past year. But fundholding is still a minority activity in Nottinghamshire--a non-fundholders'' group has been set up to ensure that purchasing of good quality secondary care is equitably distributed among all patients, and this group is extremely active.     

Socioeconomic variation in incidence of epilepsy: prospective community based study in south east England

ObjectiveTo determine the incidence of epilepsy in a general practice population and its variation with socioeconomic deprivation.DesignProspective surveillance for new cases over an 18 or 24 month period.ParticipantsAll patients on practice registers categorised for deprivation with the Carstairs score of their postcode.Setting20 general practices in London and south east England.Results190 new cases of epilepsy were identified during 369 283 person years of observation (crude incidence 51.5 (95% confidence interval 44.4 to 59.3) per 100 000 per year). The incidence was 190 (138 to 262) per 100 000 in children aged 0-4 years, 30.8 (21.3 to 44.6) in those aged 45-64 years, and 58.7 (42.5 to 81.0) in those aged ⩾65 years. There was no apparent difference in incidence between males and females. The incidence showed a strong association with socioeconomic deprivation, the age and sex adjusted incidence in the most deprived fifth of the study population being 2.33 (1.46 to 3.72) times that in the least deprived fifth (P=0.001 for trend across fifths). Adjustment for area (London v outside London) weakened the association with deprivation (rate ratio 1.62 (0.91 to 2.88), P=0.12 for trend).ConclusionsThe incidence of epilepsy seems to increase with socioeconomic deprivation, though the association may be confounded by other factors.

What is already known on this topic

Epilepsy is associated with a wide range of markers of social and economic disadvantageA small number of epidemiological studies have confirmed this association but have not established the direction of causality

What this study adds

The incidence of epilepsy, adjusted for age and sex, in the most deprived fifth of the study population was 2.3 times that in the least deprived fifthSocioeconomic deprivation is an important risk factor for the development of epilepsy, though the results may partly reflect differences in incidence within and outside London     

Costs and cost effectiveness of cardiovascular screening and intervention: the British family heart study.

OBJECTIVE--To measure costs and cost effectiveness of the British family heart study cardiovascular screening and intervention programme. DESIGN--Cost effectiveness analysis of randomised controlled trial. Clinical and resource use data taken from trial and unit cost data from external estimates. SETTING--13 general practices across Britain. SUBJECTS--4185 men aged 40-59 and their 2827 partners. INTERVENTION--Nurse led programme using a family centered approach, with follow up according to degree of risk. MAIN OUTCOME MEASURES--Cost of the programme it self; overall short term cost to NHS; cost per 1% reduction in coronary risk at one year. RESULTS--Estimated cost of putting the programme into practice for one year was 63 pounds per person (95% confidence interval 60 pounds to 65 pounds). The overall short term cost to the health service was 77 pounds per man (29 pounds to 124 pounds) but only 13 pounds per woman (-48 pounds to 74 pounds), owing to differences in utilisation of other health service resources. The cost per 1% reduction in risk was 5.08 pounds per man (5.92 pounds including broader health service costs) and 5.78 pounds per woman (1.28 pounds taking into account wider health service savings). CONCLUSIONS--The direct cost of the programme to a four partner practice of 7500 patients would be approximately 58,000 pounds. Annually, 8300 pounds would currently be paid to a practice of this size working to the maximum target on the health promotion bands, plus any additional reimbursement of practice staff salaries for which the practice qualified. The broader short term costs to the NHS may augment these costs for men but offset them considerably for women.     

Direct cost associated with acquired brain injury in Ontario

ABSTRACT: BACKGROUND: Acquired Brain Injury (ABI) from traumatic and non traumatic causes is a leading cause of disability worldwide yet there is limited research summarizing the health system economic burden associated with ABI. The objective of this study was to determine the direct cost of publicly funded health care services from the initial hospitalization to three years post-injury for individuals with traumatic (TBI) and non-traumatic brain injury (nTBI) in Ontario Canada. METHODS: A population-based cohort of patients discharged from acute hospital with an ABI code in any diagnosis position in 2004 through 2007 in Ontario was identified from administrative data. Publicly funded health care utilization was obtained from several Ontario administrative healthcare databases. Patients were stratified according to traumatic and non-traumatic causes of brain injury and whether or not they were discharged to an inpatient rehabilitation center. Health system costs were calculated across a continuum of institutional and community settings for up to three years after initial discharge. The continuum of settings included acute care emergency departments inpatient rehabilitation (IR) complex continuing care home care services and physician visits. All costs were calculated retrospectively assuming the government payer's perspective. RESULTS: Direct medical costs in an ABI population are substantial with mean cost in the first year post-injury per TBI and nTBI patient being $32132 and $38018 respectively. Among both TBI and nTBI patients those discharged to IR had significantly higher treatment costs than those not discharged to IR across all institutional and community settings. This tendency remained during the entire three-year follow-up period. Annual medical costs of patients hospitalized with a brain injury in Ontario in the first follow-up year were approximately $120.7 million for TBI and $368.7 million for nTBI. Acute care cost accounted for 46-65 % of the total treatment cost in the first year overwhelming all other cost components. CONCLUSIONS: The main finding of this study is that direct medical costs in ABI population are substantial and vary considerably by the injury cause. Although most expenses occur in the first follow-up year ABI patients continue to use variety of medical services in the second and third year with emphasis shifting over time from acute care and inpatient rehabilitation towards homecare physician services and long-term institutional care. More research is needed to capture economic costs for ABI patients not admitted to acute care.     

Occupational Status,Cortisol Secretory Pattern,and Visceral Obesity in Middle‐aged Men

Objective: Despite several studies indicating that social gradients are predictive of cardiovascular mortality, the pathogenetic mechanisms remain incompletely understood. Research Methods and Procedures: A population sample of 51‐year‐old men (N = 284) was divided into a socioeconomic gradient with manual laborers, civil servants, and university graduates. Anthropometric measurements were registered. Cortisol concentrations were measured in saliva, collected repeatedly during an ordinary working day, and a low‐dose dexamethasone suppression test was performed. Results: Lower socioeconomic status was associated with visceral obesity and higher cortisol values in relation to perceived stress. However, total cortisol secretion over the day of study was not elevated. The regulation of cortisol secretion showed less plasticity and dexamethasone inhibition was less efficient in the men in the lower socioeconomic status group than in those with a higher socioeconomic status. These are known consequences of long term stress. Longer duration in low socioeconomic conditions seemed to worsen these phenomena. Discussion: It was concluded that a low socioeconomic status is associated with perturbed cortisol secretion, which is elevated in relation to perceived stress. When the hypothalamic‐pituitary‐adrenal axis is subjected to prolonged increases in cortisol elicited by chronic stress, the regulation of cortisol secretion is affected, indicating neuroendocrine dysregulations. These observations may provide a means for understanding the association of socioeconomic impairments with visceral obesity and the social inequality in risk for prevalent and serious diseases.     

The Primary Care Network: A New Type of HMO for Private Practice Physicians

A new type of health maintenance organization has been developed to encourage primary care physicians in private practice to become coordinators and financial managers for all medical care. Each patient chooses one internist, family or general physician, or pediatrician and must be referred by that physician for all hospital admissions and care by specialists. The primary care physician authorizes all payments from his own account for care provided to his patients. He shares any deficit or surplus remaining at the end of the year.Hospital admission rates and length of stay are lower than those of Blue Cross, with only one of three dollars paid to hospitals. The plan is providing care to 38,000 persons with 750 participating physicians in Northern California, Washington and Utah.This plan represents an attempt by physicians to control costs without government regulation.     

Socioeconomic determinants of rates of consultation in general practice based on fourth national morbidity survey of general practices.

OBJECTIVE--To identify the socioeconomic determinants of consultation rates in general practice. DESIGN--Analysis of data from the fourth national morbidity survey of general practices (MSGP4) including sociodemographic details of individual patients and small area statistics from the 1991 census. Multilevel modelling techniques were used to take account of both individual patient data and small area statistics to relate socioeconomic and health status factors directly to a measure of general practitioner workload. RESULTS--Higher rates of consultations were found in patients who were classified as permanently sick, unemployed (especially those who became unemployed during the study year), living in rented accommodation, from the Indian subcontinent, living with a spouse or partner (women only), children living with two parents (girls only), and living in urban areas, especially those living relatively near the practice. When characteristics of individual patients are known and controlled for the role of "indices of deprivation" is considerably reduced. The effect of individual sociodemographic characteristics were shown to vary between different areas. CONCLUSIONS--Demographic and socioeconomic factors can act as powerful predictors of consultation patterns. Though it will always be necessary to retain some local planning discretion, the sets of coefficients estimated for individual level factors, area level characteristics, and for practice groupings may be sufficient to provide an indicative level of demand for general medical services. Although the problems in using socioeconomic data from individual patients would be substantial, these results are relevant to the development of a resource allocation formula for general practice.     

A risk adjusted cost‐effectiveness analysis of alternative models of nurse involvement in obesity management in primary care

Objective:

Controlled evaluations are subject to uncertainty regarding their replication in the real world, particularly around systems of service provision. Using routinely collected data, we undertook a risk adjusted cost‐effectiveness (RAC‐E) analysis of alternative applied models of primary health care for the management of obese adult patients. Models were based on the reported level of involvement of practice nurses (registered or enrolled nurses working in general practice) in the provision of clinical‐based activities.

Design and Methods:

Linked, routinely collected clinical data describing clinical outcomes (weight, BMI, and obesity‐related complications) and resource use (primary care, pharmaceutical, and hospital resource use) were collected. Potential confounders were controlled for using propensity weighted regression analyses.

Results:

Relative to low level involvement of practice nurses in the provision of clinical‐based activities to obese patients, high level involvement was associated with lower costs and better outcomes (more patients losing weight, and larger mean reductions in BMI). Excluding hospital costs, high level practice nurse involvement was associated with slightly higher costs. Incrementally, the high level model gets one additional obese patient to lose weight at an additional cost of $6,741, and reduces mean BMI by an additional one point at an additional cost of $563 (upper 95% confidence interval $1,547).

Conclusion:

Converted to quality adjusted life year (QALY) gains, the results provide a strong indication that increased involvement of practice nurses in clinical activities is associated with additional health benefits that are achieved at reasonable additional cost. Dissemination activities and incentives are required to encourage general practices to better integrate practice nurses in the active provision of clinical services.     

The High Cost of Free Tuberculosis Services: Patient and Household Costs Associated with Tuberculosis Care in Ebonyi State,Nigeria

Objective

Poverty is both a cause and consequence of tuberculosis. The objective of this study is to quantify patient/household costs for an episode of tuberculosis (TB), its relationships with household impoverishment, and the strategies used to cope with the costs by TB patients in a resource-limited high TB/HIV setting.

Methods

A cross-sectional study was conducted in three rural hospitals in southeast Nigeria. Consecutive adults with newly diagnosed pulmonary TB were interviewed to determine the costs each incurred in their care-seeking pathway using a standardised questionnaire. We defined direct costs as out-of-pocket payments, and indirect costs as lost income.

Results

Of 452 patients enrolled, majority were male 55% (249), and rural residents 79% (356), with a mean age of 34 (±11.6) years. Median direct pre-diagnosis/diagnosis cost was $49 per patient. Median direct treatment cost was $36 per patient. Indirect pre-diagnostic and treatment costs were $416, or 79% of total patient costs, $528. The median total cost of TB care per household was $592; corresponding to 37% of median annual household income pre-TB. Most patients reported having to borrow money 212(47%), sell assets 42(9%), or both 144(32%) to cope with the cost of care. Following an episode of TB, household income reduced increasing the proportion of households classified as poor from 54% to 79%. Before TB illness, independent predictors of household poverty were; rural residence (adjusted odds ratio [aOR] 2.8), HIV-positive status (aOR 4.8), and care-seeking at a private facility (aOR 5.1). After TB care, independent determinants of household poverty were; younger age (≤35 years; aOR 2.4), male gender (aOR 2.1), and HIV-positive status (aOR 2.5).

Conclusion

Patient and household costs for TB care are potentially catastrophic even where services are provided free-of-charge. There is an urgent need to implement strategies for TB care that are affordable for the poor.     

Socioeconomic differences in mortality among diabetic people in Finland: five year follow up.

OBJECTIVE: To compare socioeconomic differences in mortality (by cause of death) among diabetic people with those in the rest of the population. DESIGN: Five year follow up of mortality in the population of Finland, comparing people with diabetes and those without diabetes. SETTING: Finland. SUBJECTS: All residents of Finland aged 30 to 74 included in the 1980 census. Subjects were classified as diabetic (230,000 person years) or other (12,400,000 person years) according to whether they were exempted from charges for medication for diabetes. During 1981-5 there were 114,058 deaths, of which 11,215 were in people with diabetes. MAIN OUTCOME MEASURES: Age standardised mortality by sex, social class, and cause of death for the diabetic and non-diabetic populations. RESULTS: No significant social class differences in mortality were found among women with diabetes. Among diabetic men there was a slight increasing trend in mortality from the upper while collar group to the unskilled blue collar workers but it was much less steep than that of non-diabetic men. CONCLUSIONS: Among people with diabetes in Finland the quality of treatment and compliance with treatment probably do not vary by socioeconomic status. Health education for diabetic people seems to be effective in all socioeconomic strata; in people from the lower strata this leads to greater changes because their health behavior was originally less good.