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Table 1 Summary of study population (THIN database) by practice and patient-level characteristics

From: Intra-cluster and inter-period correlation coefficients for cross-sectional cluster randomised controlled trials for type-2 diabetes in UK primary care

Practice characteristics

 Number of general practices

430

 General practice sizea, median [IQR]

241 [150–351]

Location, N (%)

 England

322 (75)

 Northern Ireland

21 (5)

 Scotland

56 (13)

 Wales

31 (7)

Patient characteristics

 Number of patients

112,633

 Age, median [IQR]

70 [60–78]

 Sex (male), N (%)

61,944 (55)

Location, N (%)

 England

88,838 (79)

 Northern Ireland

3464 (3)

 Scotland

12,461 (11)

 Wales

7870 (7)

Deprivation quintiles, N (%)

 1 (most affluent)

23,853 (21)

 2

23,106 (21)

 3

23,031 (20)

 4

22,054 (20)

 5 (most deprived)

16,352 (15)

 Unknown

4237 (4)

Clinical measures

 HbA1c (%), median [IQR]

7.05 [6.4–7.9]

 HbA1c (%), mean (SD)

7.35 (1.41)

 Systolic blood pressure (mmHg), mean (SD)

134 (16)

 Diastolic blood pressure (mmHg), mean (SD)

75 (10)

 BMI (kg/m2), median [IQR]

29.8 [26.4–34.1]

 Total cholesterol (mmol/L), median [IQR]

4.1 [3.5–4.7]

 HDL cholesterol (mmol/L), median [IQR]

1.19 [1.00–1.40]

Medication, N (%)

 Insulin

66,530 (59.1)

 Other hypoglycaemic medication

33,061 (29.4)

Clinical outcomes, N (%)

 Atrial fibrillation

1101 (1.058)

 Chronic kidney disease

381 (0.349)

 Chronic obstructive pulmonary disease

846 (0.801)

 Ischaemic heart disease

967 (1.109)

 Peripheral vascular disease

575 (0.545)

 Stroke

458 (0.426)

  1. BMI body mass index, HbA1c glycosylated haemoglobin, HDL high-density lipoprotein, IQR interquartile range, SD standard deviation. Note: the percentage corresponds to the number of applicable patients, and so the total may not be identical for each outcome variable. aHere general practice size corresponds to the number of patients within the general practice who have satisfied the entry criteria (patients who had C10F Read (version 2) code for diabetes entered on the Vision GP patient management system or other codes specifying type-2 diabetes)