Titrating insulin in patients with type 2 diabetes using a structured self-monitoring blood glucose regimen.

BACKGROUND: Self-monitoring of blood glucose (SMBG) can inform on the timing of hyperglycaemia, but there is currently no standardised approach to utilising these data to improve glycaemic control in patients with type 2 diabetes. OBJECTIVES: To assess the improvement in glycaemic control when an insulin titration algorithm was used in combination with SMBG in patients with poorly controlled, insulin-treated type 2 diabetes. METHODS: This 6-month prospective study recruited 39 poorly controlled (glycated haemoglobin (HbA1c) ≥8.5%; 69.4 mmol/mol) type 2 diabetes subjects using twice-daily biphasic insulin from two state hospitals in Tshwane, South Africa. Patients were asked to perform structured SMBG over 4 weeks and return monthly for consultations where physicians titrated insulin doses using an algorithm guided by the data collected. The primary endpoint was the trend in HbA1c measured at baseline and 3 and 6 months. RESULTS: Mean HbA1c decreased over the study period by 1.89% (95% confidence interval (CI) -2.46 - -1.33; p<0.001). The hypoglycaemic event rate (<4.0 mmol/L) was 33.08 events per patient year. Total daily insulin use increased by a mean of 40.12 units over the study period (standard error 7.7; p<0.001) and weight increased by an average of 3.98 kg (95% CI 2.56 - 5.41; p<0.001). CONCLUSIONS: Monthly algorithmic insulin titration guided by structured SMBG can markedly improve glycaemic control in patients with type 2 diabetes by aggressively increasing insulin doses not previously expected in this population, with moderate hypoglycaemic events and weight gain observed.

Fluid management in diabetic-acidosis--Ringer's lactate versus normal saline: a randomized controlled trial.

OBJECTIVE: To determine if Ringer's lactate is superior to 0.9% sodium chloride solution for resolution of acidosis in the management of diabetic ketoacidosis (DKA). DESIGN: Parallel double blind randomized controlled trial. METHODS: Patients presenting with DKA at Kalafong and Steve Biko Academic hospitals were recruited for inclusion in this study if they were >18 years of age, had a venous pH >6.9 and ≤7.2, a blood glucose of >13 mmol/l and had urine ketones of ≥2+. All patients had to be alert enough to give informed consent and should have received <1 l of resuscitation fluid prior to enrolment. RESULTS: Fifty-seven patients were randomly allocated, 29 were allocated to receive 0.9% sodium chloride solution and 28 to receive Ringer's lactate (of which 27 were included in the analysis in each group). An adjusted Cox proportional hazards analysis was done to compare the time to normalization of pH between the 0.9% sodium chloride solution and Ringer's lactate groups. The hazard ratio (Ringer's compared with 0.9% sodium chloride solution) for time to venous pH normalization (pH = 7.32) was 1.863 (95% CI 0.937-3.705, P = 0.076). The median time to reach a pH of 7.32 for the 0.9% sodium chloride solution group was 683 min (95% CI 378-988) (IQR: 435-1095 min) and for Ringer's lactate solution 540 min (95% CI 184-896, P = 0.251). The unadjusted time to lower blood glucose to 14 mmol/l was significantly longer in the Ringer's lactate solution group (410 min, IQR: 240-540) than the 0.9% sodium chloride solution group (300 min, IQR: 235-420, P = 0.044). No difference could be demonstrated between the Ringer's lactate and 0.9% sodium chloride solution groups in the time to resolution of DKA (based on the ADA criteria) (unadjusted: P = 0.934, adjusted: P = 0.758) CONCLUSION: This study failed to indicate benefit from using Ringer's lactate solution compared to 0.9% sodium chloride solution regarding time to normalization of pH in patients with DKA. The time to reach a blood glucose level of 14 mmol/l took significantly longer with the Ringer's lactate solution.

Physician education programme improves quality of diabetes care.

BACKGROUND: Diabetes mellitus is a common chronic disease needing long-term glycaemic control to prevent complications. Guidelines are available for achievement of optimal glycaemic control, but these are seldom properly instituted. OBJECTIVES: To determine if a physician education programme and a structured consultation schedule would improve the quality of diabetes patient care in a diabetes clinic. SETTING: Two tertiary care diabetes clinics at Kalafong Hospital, Pretoria. STUDY DESIGN: Quasi-experimental controlled before-and-after study. METHODS: A baseline audit of the quality of care in two comparable diabetes clinics was performed. Three hundred patients were randomly selected for audit of their hospital records: 141 from the intervention and 159 from the control clinics. Thereafter a physician training programme and a structured consultation schedule were introduced to the intervention clinic and maintained for a 1-year period. The control clinic continued with care as usual. Process and outcome measures were determined at a post-intervention audit and compared between the two groups. Consultation time was measured for both the intervention and control groups and data were compared. RESULTS: At baseline the intervention and control groups did not differ significantly with regard to process and outcome measures. After intervention the intervention group had significantly higher process measure scores than the control group (p < 0.01). HbA1c did not significantly differ between the two groups (p = 0.60). The average number of clinic visits reduced over time for the intervention group compared with the control group (p < 0.01), but the average consultation times were significantly longer (p < 0.01). CONCLUSION: The introduction of a physician education programme and a structured consultation schedule improved the quality of care delivered at a tertiary care diabetes clinic.

Development and testing of a 25-item patient satisfaction scale for black South African diabetic outpatients.

Although there is general agreement that patient satisfaction is an integral component of service quality, there is a paucity of South African research on reliable and valid satisfaction measures and the effects of health status on satisfaction. A 25-item patient satisfaction scale was developed and tested for evaluating the quality of health care for black diabetic outpatients. It was hypothesised that: (1) the underlying dimensions of patient satisfaction were interpersonal and organisational; and (2) patients in poor health would be less satisfied with the quality of their care than patients in good health. The questionnaire was administered to 263 black outpatients from Pretoria Academic Hospital and Kalafong Hospital. Factor analysis was conducted on the patient satisfaction scale and three factors, accounting for 71% of the variance, were extracted. The major items on Factor I were helpfulness, communication, support and consideration, representing the interpersonal dimension. Factors II and III were mainly concerned with service logistics and technical expertise, with the emphasis on waiting time, follow-up and thoroughness of examination. The three factors had excellent reliability coefficients, ranging between 0.82 (technical), 0.85 (logistics) and 0.98 (interpersonal). Multiple analyses of co-variance showed that patients in poor general health were significantly less satisfied with the logistical (p = 0.004) and technical (p = 0.007) quality of their care than patients in good health; patients in poor mental health were significantly less satisfied with the interpersonal quality of their care (p = 0.05) than patients in good mental health. These findings provided support for both hypotheses and suggested that patients in poor health attend to different aspects of their care than patients in good health. Of more importance to clinical practice, the results endorsed the need for a multidisciplinary health team comprising nurse/social worker (Factor I: support, communication), health service managers (Factor II: service logistics) and physician (Factor III: technical expertise) to enhance treatment outcome for diabetic patients. It is recommended that: (1) further research is conducted on this patient satisfaction scale with diverse populations in different settings to complement and validate the scale for generalised use in South Africa; (2) the scale is used to collect information on patient satisfaction before and after implementing an intervention to improve the quality of health care, and (3) measurement of health status is an essential adjunct to assessment of patient satisfaction.