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Effectiveness of Diabetes Case Conferencing Program on Diabetes Management Cover

Effectiveness of Diabetes Case Conferencing Program on Diabetes Management

By: Reetu Zarora and  David Simmons  
Open Access
|Jan 2023

Figures & Tables

ijic-23-1-6545-g1.png
Figure 1

Flowchart of the clinical data collected from 43 general practices across South Western Sydney.

Table 1

Change between baseline and follow-up clinical data collected.

# Range was 0.1–585 mg/mmol.

## Range was 28–892 umol/L.

Values are reported as mean ± standard deviation (except for UACR and serum creatinine), effect size is not reported for serum creatinine and UACR as a non-parametric test was performed.

CLINICAL VARIABLESPATIENT (n)BASELINE DATAFOLLOW-UP DATAp-VALUEEFFECT SIZE
Weight (kg)49391.1 ± 23.687.9 ± 23.7<0.0010.32
Body Mass Index (kg/m2)47132.5 ± 7.431.2 ± 7.4<0.0010.36
Systolic Blood Pressure (mmHg)591134 ± 18126 ± 12<0.0010.45
Diastolic Blood Pressure (mmHg)59177 ± 1174 ± 12<0.0010.24
HbA1c (mmol/mol)64574 ± 2263 ± 18<0.0010.59
HbA1c (%)6458.9 ± 2.07.9 ± 1.7<0.0010.59
Total Cholesterol (mmol/L)5914.6 ± 1.44.4 ± 1.90.0070.11
Triglycerides (mmol/L)5882.3 ± 2.42.3 ± 4.00.830.01
High Density Lipoprotein (mmol/L)5671.2 ± 0.41.2 ± 0.30.150.06
Low-Density Lipoprotein (mmol/L)5482.4 ± 1.12.3 ± 1.0<0.0010.19
eGFR (Estimated glomerular filtration rate) mL/min/1.73m264574.9 ± 22.473.8 ± 23.40.020.09
Urine albumin creatinine ratio (mg/mmol)# median (interquartile range)4392.2 (0.8–9.5)2.5 (0.9–10.6)0.97
Serum creatinine## (umol/L) median (interquartile range)64380 (67–100)80 (69–97)0.09
Table 2

Shows number of patients achieving clinical targets (%) before and after consultation.

CLINICAL VARIABLEnBEFORE CONSULTATION (% WITHIN TARGET/RANGE)AFTER CONSULTATION (% WITHIN TARGET/RANGE)p-VALUE FOR PRE/POST COMPARISON
HbA1c (%) (≤7%)64520.036.7<0.001
Systolic blood pressure (≤130mmHg)5914777<0.001
Diastolic blood pressure (≤80mmHg)5917181<0.001
Total cholesterol (<4.0mmol/L)59136.442.80.003
Triglycerides (<2.0mmol/L)58856.666.5<0.001
HDL (≥1.0mmol/L)56777.876.90.61
LDL (<2.0mmol/L)54836.141.20.01
Table 3

Shows the changes in the prescriptions of individual classes of diabetes medication before and after the consultation in 645 patients.

MEDICATIONnBEFORE (%)AFTER (%)p-VALUE
Non-insulin only64563.154.3<0.001
Insulin only8.56.50.06
Diet-controlled3.93.40.58
Both non-insulin and insulin21.931.5<0.001
MEDICATION CLASSIFICATIONBEFORE (%)AFTER (%)p-VALUE
Biguanides58.653.50.01
Sulphonylureas27.427.90.84
DPP-4 inhibitors21.124.30.08
SGLT2 inhibitors16.322.9<0.001
GLP-1 agonists4.79.3<0.001
Insulin30.137.7<0.001
ijic-23-1-6545-g2.png
Figure 2

Shows the mean change in HbA1c for 196 patients each year from 2017–2020.

Table 4

Shows change in mean HbA1c before and after consultation in four groups. Grouping was performed for gender (men and women) and HbA1c groups using quartiles and percentile for age groups.

GENDERnBASELINE HbA1c(%)FOLLOW-UP HbA1c(%)p-VALUEEFFECT SIZE
Men3518.7 ± 2.07.8 ± 1.7<0.0010.58
Women2949.0 ± 1.98.0 ± 1.7<0.0010.62
HbA1c GROUPSnBASELINE HbA1cFOLLOW-UP HbA1cp-VALUE
Group 1 = <7.5%2056.9 ± 0.86.4 ± 0.6<0.0010.58
Group 2 = 7.5–8.6%1928.6 ± 0.87.5 ± 0.7<0.0010.85
Group 3 = 8.7–10.0%14010 ± 18.6 ± 1<0.0010.76
Group 4 = >10.1%10811.7 ± 1.510.5 ± 1.8<0.0010.46
AGE-GROUP (IN YEARS)nBASELINE HbA1c(%)FOLLOW-UP HbA1c(%)p-VALUE
18–541639.6 ± 2.18.5 ± 2.1<0.0010.61
55–641629.3 ± 2.08.1 ± 1.7<0.0010.65
65–741658.8 ± 1.97.7 ± 1.4<0.0010.66
75–971557.8 ± 1.47.2 ± 1.3<0.0010.50
DOI: https://doi.org/10.5334/ijic.6545 | Journal eISSN: 1568-4156
Language: English
Submitted on: Mar 10, 2022
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Accepted on: Dec 23, 2022
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Published on: Jan 25, 2023
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2023 Reetu Zarora, David Simmons, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.