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Table 1 Patient characteristics

From: Quality of care in patients with hypertension: a retrospective cohort study of primary care routine data in Germany

Variable

 

Hypertensive patients with diagnosis between

 

all

2016-2019q1

2020q2-2021q1

 

n = 30,691

(100%)

n = 2023 (6.6%)

n = 484

(1.6%)

p-valuef

Sociodemographic (at the beginning of the disease)

 Female, n(%)

16,929(55.2)

1052(52.0)

259(53.5)

0.0056

 Male, n(%)

13,751(44.8)

971(48.0)

225(46.5)

0.0049

Agea, µ

53.7

67.4

62.5

 < 0.0001

Age at the time of diagnosis, µ

-

63.1

60.9

 < 0.0001

BMI (kg/m2), µ/N

27.3/1643b

29.0/1511b

29.3/378b

 < 0.0001

Health Status (during the sample period)

 Number of diagnoses (ICD-Chapter) per practice visit, µ

2.0

2.1

2.8

 < 0.0001

 Number of diagnoses for chronical diseasesc per practice visit, µ

0.8

1.3

2.5

 < 0.0001

 Multimorbidd, n(%)

5547(18.1)

685(33.9)

192(39.7)

 < 0.0001

Specific comorbidities/other diseases (during the sample period)

 Obesity (E66.0, E66.9), n(%)

2091(6.8)

281(13.9)

47(9.7)

 < 0.0001

 Diabetes mellitus 1 and 2 (E10, E11, E14, R73.0), n(%)

4065(13.2)

530(26.2)

119(24.6)

 < 0.0001

 Cardiovascular disease (I20, I21, I24, I25, I70, I63-I66), n(%)

3554(11.6)

493(24.4)

107(22.1)

 < 0.0001

 Mental and behavioral disorders (F00-F99), n(%)

7275(23.7)

658(32.5)

218(45.0)

 < 0.0001

 otherse, n(%)

3002(9.8)

255(12.6)

63(13.0)

 < 0.0001

  1. µ: mean; N: number of observations; aThe most recent entry was used. bMissing values due to non-performed examination. cChronical Diagnoses were only counted if they were coded in at least 3 quarters within the sample period [20]. dMultimorbid patients were identified, if more than two chronical diagnoses [27] were coded in at least 3 quarters within the sample period [20]. eelevated blood-pressure without hypertensive diagnosis (R03.0), hyrotoxicosis (E05.0), hypothyroidism (E03.0), subcl. iodine deficiency hypothyroidism (E02), Autoimmune thyroiditis (E06.3). fBonferroni corrected p-value for testing for differences between groups of patients