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. 2017 Mar 3;12:785–792. doi: 10.2147/COPD.S121885

Table 4.

Final treatment-related decisions recommended after the follow-up visit

Variables Average*
(n=621)
Interhospital range P-value# Autumn
(n=179)
Winter
(n=144)
Spring
(n=175)
Summer
(n=123)
P-value
Diagnosis of COPD recorded (n) 603 (97.1) 94.5–100 <0.001 172 (96.1) 140 (97.2) 170 (97.1) 121 (98.4) 0.713
GOLD type identified (n) 224 (36.1) 3.4–100 <0.001 61 (34.1) 52 (36.1) 70 (40.0) 41 (33.3) 0.598
GesEPOC phenotype identified (n) 294 (47.3) 8.6–95.0 <0.001 76 (42.5) 68 (47.2) 94 (53.7) 56 (45.5) 0.193
GOLD or GesEPOC patient type identified (n) 423 (68.1) 13.8–100 <0.001 115 (64.2) 100 (69.4) 129 (73.7) 79 (64.2) 0.192
Detailed treatment recommendations (n) 603 (97.1) 89.7–100 <0.001 173 (96.6) 141 (97.9) 171 (97.7) 118 (95.9) 0.729
Recommendation on smoking (n) 278 (44.8) 8.6–92.6 <0.001 82 (45.8) 58 (40.3) 84 (48.0) 54 (43.9) 0.566
Recommendation on exercise (n) 276 (44.4) 2.5–88.9 <0.001 71 (39.7) 72 (50.0) 81 (46.3) 52 (42.3) 0.269
Recommendation on influenza vaccine (n) 269 (43.3) 2.5–93.8 <0.001 73 (40.8) 52 (36.1) 86 (49.1) 58 (47.2) 0.083
Recommendation on pneumococcal vaccine (n) 116 (18.7) 0–40.7 <0.001 32 (17.9) 24 (16.7) 34 (19.4) 26 (21.1) 0.798
Pharmacological treatment changed (n) 199 (35.2) 10.5–58.0 <0.001 54 (32.0) 49 (36.0) 57 (36.1) 39 (38.2) 0.732
Type of pharmacological change
 Increase in the number of drugs (n) 99 (17.5) 5.6–28.4 0.023 26 (15.4) 26 (19.1) 28 (17.7) 19 (18.6) 0.834
 Decrease in the number of drugs (n) 55 (9.7) 0–14.5 0.286 18 (10.7) 12 (8.8) 14 (8.96) 11 (10.8) 0.907
 Change in drug type (n) 45 (8.0) 0–19.8 0.003 10 (5.9) 11 (8.1) 15 (9.5) 9 (8.8) 0.665
Discharged from the clinic (n) 30 (4.8) 0–16.5 <0.001 6 (3.4) 5 (3.5) 6 (3.4) 13 (10.6)§ 0.012

Notes:

*

Data are expressed as mean (SD) or absolute (relative) frequencies depending on the nature of the variable.

#

Calculated for the variability between centers using ANOVA and Chi-square test, depending on the nature of the variable.

Calculated for the variability between seasons using ANOVA and Chi-square test, depending on the nature of the variable.

§

Significant difference versus the rest of the seasons.

Abbreviations: ANOVA, analysis of variance; COPD, chronic obstructive pulmonary disease; SD, standard deviation.