Social environment, morbidity and use of health care among people with diabetes mellitus in Trinidad.

BACKGROUND: This study aimed to identify social characteristics associated with higher levels of morbidity from diabetes and their relationship to health care utilization. METHODS: During a 6-month period 1149/1447 (79%) subjects admitted to Port of Spain Hospital, Trinidad with diabetes responded to a structured interview. Data collection included social factors, diabetes-related morbidity and health care utilization. Analyses were adjusted for age, sex, ethnic group and self-reported diabetes duration. RESULTS: Of 12 indicators of morbidity, nine were more frequent in subjects with no schooling compared with those with secondary education. At ages 15-59 years, nine morbidity indicators were less frequent among subjects in full-time jobs compared with those not in employment. The association of educational attainment was explained by confounding with age, sex, ethnic group and diabetes duration but five morbidity indicators were associated with employment status after adjusting for confounding. The type of water supply in the home was generally not associated with morbidity. Each of the indicators of lower socioeconomic status was associated with less use of private doctors and with more use of government health centres. CONCLUSIONS: Morbidity from diabetes was greater in groups with lower socioeconomic status. While morbidity associated with lower educational attainment was mostly explained by older age; the results suggested the possibility that diabetes may contribute to unemployment of those in the labour force. Private care was less accessible to social groups with higher levels of morbidity and the availability of government funded health services was important for reducing inequalities in health care utilization.

Diabetes care in middle-income countries: a Caribbean case study.

Many middle-income countries now have a high prevalence of diabetes and need to address the problem of providing care for people with diabetes within limited resources. This study evaluated standards of preventive care in primary settings in three Caribbean countries. We studied case records at 17 clinics in 15 government health centres and 17 private general practitioners' offices in Barbados, Trinidad and Tobago and Tortola (British Virgin Islands). A census of all attenders over a 4 to 7 week period identified 1661 attenders with diabetes mellitus, approximately two-thirds were women with a median age over 60 years. Overall 676/1342 (50%) had 'poor' blood glucose control (> or = 8 mmol l-1 fasting or > or = 10 mmol l-1 random). The proportion with BP > or = 160/95 mmHg or receiving treatment for hypertension was 943/1661 (57%), of whom 781/943 (83%) were prescribed drug treatment. Among those treated for hypertension only 181/781 (23%) had blood pressures < 140/90 mmHg. Surveillance for complications affecting the feet (11%) or eyes (2%) was not performed systematically in any setting. Only 533 (32%) had recorded dietary advice and 79 (5%) had recorded exercise advice in the last 12 months. To begin to address some of these problems at a regional level, we incorporated results from this survey into a series of workshops held in collaboration with health ministries in 10 Caribbean countries, with participants from 13 countries. At these workshops health care workers participated in the process of developing guidelines for diabetes management in primary care. The guidelines have subsequently been widely disseminated through health ministries and non-governmental organizations in the region. Further research is needed to evaluate the effectiveness of this approach, the constraints on diabetes care, and the most cost-effective means of addressing them.

Counting the cost of diabetic hospital admissions from a multi-ethnic population in Trinidad.

Many middle-income countries are experiencing an increase in diabetes mellitus but patterns of morbidity and resource use from diabetes in developing countries have not been well described. We evaluated hospital admission with diabetes among different ethnic groups in Trinidad. We compiled a register of all patients with diabetes admitted to adult medical, general surgical, and ophthalmology wards at Port of Spain Hospital, Trinidad. During 26 weeks, 1447 patients with diabetes had 1722 admissions. Annual admission rates, standardized to the World Population, for the catchment population aged 30-64 years were 1031 (95% CI 928 to 1134) per 100,000 in men and 1354 (1240 to 1468) per 100,000 in women. Compared with the total population, admission rates were 33% higher in the Indian origin population and 47% lower in those of mixed ethnicity. The age-standardized rate of amputation with diabetes in the general population aged 30-64 years was 54 (37 to 71) per 100,000. The hospital admission fatality rate was 8.9% (95%CI 7.6% to 10.2%). Mortality was associated with increasing age, admission with hyperglycaemia, elevated serum creatinine, cardiac failure or stroke and with lower-limb amputation during admission. Diabetes accounted for 13.6% of hospital admissions and 23% of hospital bed occupancy. Admissions associated with disorders of blood glucose control or foot problems accounted for 52% of diabetic hospital bed occupancy. The annual cost of admissions with diabetes was conservatively estimated at TT+ 10.66 million (UK 1.24 million pounds). In this community diabetes admission rates were high and varied according to the prevalence of diabetes. Admissions, fatalities and resource use were associated with acute and chronic complications of diabetes. Investing in better quality preventive clinical care for diabetes might provide an economically advantageous policy for countries like Trinidad and Tobago.

Growth of muscle fibres during recovery from severe malnutrition in Jamaican infants.

1. The growth of muscle fibres was analysed by light microscopy in biopsies from subjects when malnourished, during nutritional rehabilitation, and after clinical recovery. 2. Muscle fibres from malnourished subjects were extremely atrophic (cross-sectional area, 110 micrometers2). The fibres doubled in size during the early period of rehabilitation. Growth of muscle fibres during later periods of rehabilitation occurred at a slower rate. 3. The absolute rates of change in fibre sizes differed considerably between subjects, but the rates of change relative to the rate of gain of total body-weight (expressed as % recovery or % expected weight-for height (Nelson, 1975)) were similar between subjects after the initial growth spurt. The pattern of recovery appeared to differ between older and younger subjects. 4. Fibre sizes correlated with body-weight but not with age in the malnourished subjects. A significant correlation between fibre areas and either weight or age was observed during rehabilitation and after clinical recovery. 5. Fibre sizes of clinically-recovered subjects (mean age, 13.8 months; weight, 8.7 kg) were only approximately 60% of that for a well-nourished 6-month-old control subject (6.4 kg). These results suggest that a longer period of time is required for fibres to reach their expected size. Therefore, when the child has regained body-weight to that of a normal child of the same height, his muscles have not yet recovered and his body composition is abnormal.

Energy balance during recovery from malnutrition.

This report presents an account of energy balance of young Jamaican children recovering from protein-energy malnutrition (PEM). This was done in three steps. Initially the true gross energy of a formula used in the treatment of PEM was determined by bomb calorimetry. Then its metabolizable energy content was determined in a group of nine children recovering from PEM. In a similar but different group of eight children total daily metabolizable energy intake (EI), average rate of weight gain (g/kg/day) (WG), and total daily energy expenditure (TDEE) were determined. TDEE was determined by indirect calorimetry using a heart rate counter and is based on the relationship of heart rate to oxygen consumption. In this group, the mean EI was 122.5 kcal, WG was 8.4 g, and TDEE was 92 kcal. The difference between EI and TDEE was 30.7 kcal/kg, or 3.3 kcal/g of weight gain. This difference is presumed to be the stored energy in new tissue and corresponds to a proposed new tissue composition of 31% fat and 14% protein. A regression curve comparison of WG versus EI showed that at zero weight gain EI was 85.5 kcal and each additional gain. The difference of 1.0 kcal between total energy cost and stored energy reflects the energy required to deposit new tissue. Gram weight gain required 4.4 kcal. The latter figure is felt to reflect the total energy cost of weight. From three independent measurements, an estimate of maintenance energy requirements was estimated to be about 82 kcal/kg/day.