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. 2024 Oct 25;15(6):1725–1730. doi: 10.1007/s41999-024-01072-0

Table 2 Characteristics of the patients divided into groups based on HRQoLa

Lower EQ-VAS Higher EQ-VAS p-value Lower EQ-5D Higher EQ-5D p-value
Total number of patients 449 478 402 548
Age ≥ 80 years 199 (44.3) 220 (46.0) 0.649 197 (49.0) 236 (43.1) 0.080
Female 224 (49.9) 210 (43.9) 0.080 205 (51.0) 232 (42.3) 0.010
Body mass index ≥ 30 kg/m2 94 (22.7) 99 (22.1) 0.909 99 (26.3) 97 (19.2) 0.016
Current smoker 46 (10.2) 30 (6.3) 0.038 43 (10.7) 32 (5.9) 0.009
Level of education 0.026 0.025
 Less than high school 140 (31.5) 113 (23.8) 127 (32.0) 131 (24.1)
 High school 219 (49.3) 253 (53.3) 194 (48.9) 288 (53.0)
 University 85 (19.1) 109 (22.9) 76 (19.1) 124 (22.8)
Nonindependent living 99 (22.0) 62 (13.0)  < 0.001 114 (28.4) 53 (9.7)  < 0.001
Dementia 37 (8.2) 25 (5.2) 0.089 31 (7.7) 34 (6.2) 0.436
Renal impairment (eGFR < 50 ml/min) 156 (35.9) 151 (32.1) 0.254 132 (34.3) 174 (32.2) 0.544
DADL (Barthel index) b: Moderate or severe 269 (60.7) 164 (34.6)  < 0.001 276 (70.2) 169 (31.0)  < 0.001
 ≥ 1 Fall(s) during past year 99 (22.2) 77 (16.2) 0.025 103 (25.9) 77 (14.2)  < 0.001
Trial site 0.589  < 0.001
 Bern 200 (44.5) 228 (47.7) 129 (32.1) 309 (56.4)
 Cork 63 (14.0) 71 (14.9) 40 (10.0) 98 (17.9)
 Louvain 71 (15.8) 74 (15.5) 68 (16.9) 80 (14.6)
 Utrecht 115 (25.6) 105 (22.0) 165 (41.0) 61 (11.1)
Ward specialism (surgical/medical): Surgical 88 (19.6) 103 (21.5) 0.514 95 (23.6) 102 (18.6) 0.071
Type of hospital admittance: Nonelective 335 (75.3) 364 (76.3) 0.774 285 (72.0) 430 (78.5) 0.026
 ≥ 1 Hospital admission(s) during past year 112 (25.0) 96 (20.1) 0.090 101 (25.2) 110 (20.1) 0.075
Medication use-related factors
 Hyperpolypharmacy (≥ 10 medications) 264 (58.8) 239 (50.0) 0.009 236 (58.7) 271 (49.5) 0.006
 Anticholinergic and sedative burden 0.834  < 0.001
  DBI = 0 221 (49.2) 244 (51.0) 178 (44.3) 303 (55.3)
  DBI 0–1 134 (29.8) 135 (28.2) 119 (29.6) 154 (28.1)
  DBI ≥ 1 94 (20.9) 99 (20.7) 105 (26.1) 91 (16.6)
Appropriateness of medication:
 No. of prescribing omissions 0.463 0.004
  0 186 (49.5) 227 (53.8) 160 (45.5) 259 (55.7)
  1 121 (32.2) 122 (28.9) 113 (32.1) 138 (29.7)
  ≥ 2 69 (18.4) 73 (17.3) 79 (22.4) 68 (14.6)
 No. of inappropriate medications 0.798 0.582
  0–1 102 (27.1) 122 (28.9) 93 (26.4) 137 (29.5)
  2–4 100 (26.6) 114 (27.0) 99 (28.1) 120 (25.8)
  ≥ 5 174 (46.3) 186 (44.1) 160 (45.5) 208 (44.7)
High-risk medicationc
 Antidiabetics 126 (28.1) 116 (24.3) 0.215 118 (29.4) 125 (22.8) 0.027
 Opioids 94 (20.9) 63 (13.2) 0.002 94 (23.4) 64 (11.7)  < 0.001
 Antibiotics 50 (11.1) 31 (6.5) 0.017 42 (10.4) 41 (7.5) 0.138
 Benzodiazepines 60 (13.4) 48 (10.0) 0.141 60 (14.9) 50 (9.1) 0.008
 Antidepressants 118 (26.3) 90 (18.8) 0.008 107 (26.6) 103 (18.8) 0.005
 Medication complexity  < 0.001  < 0.001
  < 16.5 130 (29.0) 169 (35.4) 114 (28.4) 203 (37.0)
  16.5–25.4 137 (30.5) 175 (36.6) 127 (31.6) 188 (34.3)
  ≥ 25.5 182 (40.5) 134 (28.0) 161 (40.0) 157 (28.6)
 Medication adherence (MMAS-8)© d 0.930 0.139
  Low adherence 64 (15.1) 73 (16.0) 65 (17.2) 74 (14.1)
  Medium adherence 173 (40.8) 183 (40.1) 139 (36.8) 225 (43.0)
  Good adherence 187 (44.1) 200 (43.9) 174 (46.0) 224 (42.8)

Missing data: EQ-5D, 5 (0.5%); EQ-VAS, 28 (2.9%); BMI, 71 (7.4%); smoking status, 1 (0.1%); number of falls during the previous year, 8 (0.8%); level of education, 10 (1.0%); number of hospitalisations in the previous year, 2 (0.2%); admission type, 6 (0.6%); renal function, 24 (2.5%); Barthel Index of ADL, 11 (1.2%); medication adherence, 49 (5.1%); No of prescribing omissions, 133 (13.9%); No of inappropriate medications, 133 (13.9%)

aThe values are numbers (percentages)

bDependency on activities of daily living (DADL) measured with the Barthel index, a score of ≤ 60 is considered a severe dependency, 60–90 is considered moderate dependency and > 90 almost no dependency[10]

cOnly the high-risk medication (medication with a high risk for hospital (re)admissions in patients) with significant differences in proportions are displayed

dUse of the Morisky Medication Adherence Measure questionnaire is protected by U.S. copyright laws. Permission for use is required. A license agreement was obtained from Donald E Morisky, ScD, ScM, MSPH, Professor, Department of Community Health Sciences, UCLA Fielding School of Public Health, 650 Charles E Young Drive South, Los Angeles, CA 90095–1772, USA (dmorisky@ucla.edu)