| Literature DB >> 33037531 |
Caitlin Mills1, Melissa J Snider2, Tiffany C Ortman1, Aaron Dush1, Margueritte S Hevezi1, Junan Li1, Raul Weiss1, Eric Kraut1.
Abstract
The introduction of direct oral anticoagulants (DOACs) to the market has expanded anticoagulation options for outpatient use. Routine evaluation by health care professionals is recommended as it is with warfarin, therefore requiring adjustments in practices of anticoagulation management services (AMS). This study aims to describe trends that occurred following the incorporation of DOACs into AMS at a large academic medical center. A retrospective chart review of pharmacist-run AMS was used to compare patients on DOAC therapy versus other types of anticoagulation, including warfarin and parenteral agents. Primary outcomes included trends in the number of unique patients, management encounters, and telephone encounters throughout the study period. Secondary outcomes included trends in new encounters, and changes in patient characteristics, resources utilized, and patient satisfaction scores. A total of 2976 unique patients, 74,582 management encounters, and 13,282 telephone encounters were identified. From study beginning to end, results showed stable numbers of unique patients, an increase in management encounters for the DOAC group and decrease in the other anticoagulants group, and stable numbers of telephone encounters. Additionally, the number of new encounters for both groups increased. Throughout the study, pharmacy resources were reallocated within anticoagulation to adapt to the changing trends and patient satisfaction reached targets. Patients' characteristics remained stable, with the DOAC group having fewer comorbid conditions and concomitant medications that could increase bleed risk. This study showed that by reallocating resources within anticoagulation, AMS can maintain stable patient populations while continuing to expand access and satisfy patients following DOAC inclusion.Entities:
Keywords: Anticoagulation management service; Clinical pharmacy; DOAC
Mesh:
Substances:
Year: 2020 PMID: 33037531 PMCID: PMC7546384 DOI: 10.1007/s11239-020-02286-2
Source DB: PubMed Journal: J Thromb Thrombolysis ISSN: 0929-5305 Impact factor: 2.300
Fig. 1a Trends in number of unique patients. b Trends in number of management encounters. c Trends in number of telephone encounters
Fig. 2Trends in number of new encounters
Patient characteristics of the entire population
| 2016 Quarter 1 (n = 1111) | 2019 Quarter 4 n = (1069) | P value | |
|---|---|---|---|
| Height (in)—mean (SD) | 67.8 (4.2) | 67.7 (4.5) | 0.77a |
| Weight (kg)—mean (SD) | 95.9 (28.4) | 96.1 (30.6) | 0.90a |
| BMI (kg/m2)—mean (SD) | 31.9 (8.6) | 31.9 (9.6) | 0.95a |
| Race—n (%) | 0.47b | ||
| Caucasian | 668 (60.1) | 651 (60.9) | |
| African American | 380 (34.2) | 349 (32.6) | |
| Asian | 22 (2.0) | 23 (2.2) | |
| Other | 41 (3.7) | 46 (4.3) | |
| Diagnosis—n (%) | |||
| Atrial fibrillation | 554 (49.9) | 521 (48.7) | 0.62b |
| DVT/PE | 384 (34.6) | 367 (34.3) | 0.93b |
| Valve replacement | 173 (15.6) | 157 (14.7) | 0.62b |
| Blood disorder | 87 (7.8) | 90 (8.4) | 0.68b |
| CVA/TIA | 73 (6.6) | 76 (7.1) | 0.72b |
| LVAD | 46 (4.1) | 55 (5.1) | 0.34b |
| Other | 38 (3.4) | 39 (3.6) | 0.90b |
| Comorbid conditions—n (%) | |||
| Hypertension | 843 (75.9) | 752 (70.3) | 0.006b |
| Anemia | 347 (31.2) | 287 (26.9) | 0.039b |
| Diabetes | 344 (30.9) | 296 (27.7) | 0.13b |
| Heart failure | 314 (28.2) | 246 (23.0) | 0.01b |
| Kidney disease | 203 (18.2) | 159 (14.9) | 0.054b |
| Vascular disease | 179 (16.1) | 137 (12.8) | 0.042b |
| Liver disease | 47 (4.2) | 37 (3.5) | 0.49b |
| Concomitant medication use—n (%) | 0.32c | ||
| Aspirin | 527 (47.4) | 543 (50.8) | |
| Acetaminophen | 430 (38.7) | 406 (38.0) | |
| Ibuprofen | 42 (3.8) | 45 (4.2) | |
| Clopidogrel | 78 (7.0) | 61 (5.7) | |
| Ticagrelor | 4 (0.4) | 12 (1.1) | |
| Prasugrel | 6 (0.5) | 5 (0.4) | |
| Responsible provider type—n (%) | 0.16b | ||
| Cardiovascular medicine | 255 (22.9) | 263 (24.6) | |
| Family medicine/internal medicine | 264 (23.8) | 206 (19.3) | |
| Electrophysiology | 167 (15.0) | 188 (17.6) | |
| Hematology | 158 (14.2) | 168 (15.7) | |
| Vascular medicine | 85 (7.7) | 74 (6.9) | |
| Heart failure | 82 (7.4) | 72 (6.7) | |
| Neurology | 19 (1.7) | 12 (1.1) | |
| Other | 81 (7.3) | 85 (8.0) | |
SD = standard deviation, BMI = body mass index, DVT = deep venous thromboembolism, PE = pulmonary embolism, CVA = cerebrovascular accident, TIA = transient ischemic attack, LVAD = left ventricular assist device
aTwo-sided Student’s t test
bChi squared test
cFisher’s Exact
Patient characteristics of DOACs versus other anticoagulants
| 2016 Quarter 1 | 2019 Quarter 4 | |||||
|---|---|---|---|---|---|---|
| DOACs (n = 22) | Other anticoagulants (n = 1089) | P value | DOACs (n = 86) | Other anticoagulants (n = 983) | P value | |
| Height (in)—mean (SD) | 67.7 (3.9) | 67.8 (4.2) | 0.95a | 66.2 (4.2) | 67.9 (4.5) | 0.061a |
| Weight (kg)—mean (SD) | 95.3 (22.9) | 95.9 (28.4) | 0.93a | 92.9 (34.1) | 96.3 (30.4) | 0.46a |
| BMI (kg/m2)—mean (SD) | 31.2 (7.3) | 31.9 (8.6) | 0.82a | 29.3 (7.5) | 32.1 (9.7) | 0.080a |
| Race—(n) % | 0.26c | 0.22c | ||||
| Caucasian | 16 (72.7) | 652 (59.9) | 49 (57.0) | 602 (61.2) | ||
| African American | 4 (18.2) | 366 (33.6) | 30 (34.9) | 312 (31.7) | ||
| Asian | 0 (0.0) | 22 (2.0) | 0 (0.0) | 23 (2.3) | ||
| Other | 2 (9.1) | 49 (4.5) | 7 (8.1) | 46 (4.7) | ||
| Diagnosis—n (%) | ||||||
| Atrial fibrillation | 15 (68.2) | 539 (49.5) | 0.13b | 44 (51.2) | 477 (48.5) | 0.72b |
| DVT/PE | 9 (40.9) | 375 (34.4) | 0.68b | 38 (44.2) | 329 (33.5) | 0.059b |
| Blood disorder | 2 (9.1) | 85 (7.8) | 0.69c | 10 (11.6) | 80 (8.1) | 0.36b |
| CVA/TIA | 1 (4.5) | 72 (6.6) | 0.99c | 5 (5.8) | 71 (7.2) | 0.79b |
| Valve replacement | 0 (0.0) | 173 (15.9) | 0.037c | 0 (0.0) | 157 (16.0) | < 0.001c |
| LVAD | 0 (0.0) | 46 (4.2) | 0.99c | 0 (0.0) | 55 (5.6) | 0.028c |
| Other | 2 (9.1) | 37 (3.4) | 0.18c | 10 (11.6) | 36 (3.7) | 0.001b |
| Comorbid conditions—n (%) | ||||||
| Vascular disease | 5 (22.7) | 174 (16.0) | 0.58b | 7 (8.1) | 130 (13.2) | 0.24b |
| Anemia | 3 (13.6) | 344 (31.6) | 0.10c | 21 (24.4) | 266 (27.1) | 0.69b |
| Heart failure | 4 (18.2) | 310 (28.5) | 0.35c | 14 (16.3) | 232 (23.6) | 0.16b |
| Kidney disease | 4 (18.2) | 199 (18.3) | 0.99c | 12 (14.0) | 147 (15.0) | 0.93b |
| Diabetes | 6 (27.3) | 338 (31.0) | 0.88b | 21 (24.4) | 275 (28.0) | 0.56b |
| Liver disease | 0 (0.0) | 47 (4.3) | 0.99c | 0 (0.0) | 37 (3.8) | 0.066c |
| Hypertension | 12 (54.5) | 831 (76.3) | 0.035b | 49 (57.0) | 703 (71.5) | 0.007b |
| Concomitant medication use—n (%) | 0.53c | 0.82c | ||||
| Aspirin | 9 (40.9) | 421 (38.7) | 32 (37.2) | 374 (38.0) | ||
| Acetaminophen | 5 (22.7) | 522 (47.9) | 36 (41.9) | 507 (51.6) | ||
| Ibuprofen | 0 (0.0) | 42 (3.9) | 4 (4.7) | 41 (4.2) | ||
| Clopidogrel | 0 (0.0) | 78 (7.2) | 6 (7.0) | 55 (5.6) | ||
| Ticagrelor | 0 (0.0) | 4 (0.4) | 1 (1.2) | 12 (1.2) | ||
| Prasugrel | 0 (0.0) | 5 (0.5) | 0 (0.0) | 5 (0.5) | ||
| Responsible provider type—n (%) | 0.85c | 0.43b | ||||
| Cardiovascular medicine | 6 (27.3) | 248 (22.8) | 20 (23.3) | 243 (24.7) | ||
| Electrophysiology | 4 (18.2) | 163 (15.0) | 19 (22.1) | 169 (17.2) | ||
| Family medicine/internal medicine | 4 (18.2) | 260 (23.9) | 15 (17.4) | 191 (19/4) | ||
| Hematology | 4 (18.2) | 154 (14.1) | 10 (11.6) | 158 (16.1) | ||
| Neurology | 1 (4.5) | 18 (1.7) | 0 (0.0) | 12 (1.2) | ||
| Vascular medicine | 1 (4.5) | 84 (7.7) | 4 (4.7) | 70 (7.1) | ||
| Heart failure | 1 (4.5) | 81 (7.4) | 7 (8.1) | 65 (6.6) | ||
| Other | 1 (4.5) | 81 (7.4) | 11 (12.8) | 75 (7.6) | ||
SD = standard deviation, BMI = body mass index, DVT = deep venous thromboembolism, PE = pulmonary embolism, CVA = cerebrovascular accident, TIA = transient ischemic attack, LVAD = left ventricular assist device
aTwo-sided Student’s t test
bChi squared test
cFisher’s Exact
Fig. 3a–c Patient satisfaction scores