| Literature DB >> 28322095 |
Li-Ying Huang1,2, Hseng-Long Yeh3,4, Ming-Chin Yang2, Wen-Yi Shau1, Syi Su2, Mei-Shu Lai5.
Abstract
Objective To measure therapeutic inertia by characterizing prescription patterns using secondary data obtained from the nationwide diabetes mellitus pay-for-performance (DM-P4P) programme in Taiwan. Methods Using reimbursement claims from Taiwan's National Health Insurance Research Database, a nationwide retrospective cohort study was undertaken of patients with diabetes mellitus who participated in the DM-P4P programme from 2006-2008. Glycosylated haemoglobin results were used to evaluate modifications in therapy in response to poor diabetes control. Prescription patterns were used to assign patients to either a therapeutic inertia group or an intensified treatment group. Therapeutic inertia was defined as the failure to act on a known problem. Results The research sample comprised of 168 876 patients with diabetes mellitus who had undergone 899 135 tests. Of these, 37.4% (336 615 visits) of prescriptions were for a combination of two types of drug and 27.7% (248 788 visits) were for a combination of three types of drug. The proportion of patients in the intensified therapy group who were prescribed more than two types of drug was considerably higher than that in the therapeutic inertia group. Conclusion In many cases in the therapeutic inertia group only a single type of hypoglycaemic drug was prescribed or the dosage remained unchanged.Entities:
Keywords: Therapeutic inertia; diabetes mellitus; glycosylated haemoglobin (HbA1c); intensified therapy; prescription pattern
Mesh:
Substances:
Year: 2016 PMID: 28322095 PMCID: PMC5536765 DOI: 10.1177/0300060516663095
Source DB: PubMed Journal: J Int Med Res ISSN: 0300-0605 Impact factor: 1.671
Baseline demographic and clinical characteristics of patients with diabetes mellitus (n = 168 876) who provided prescription data (n = 899 135) for this study as part of the diabetes mellitus pay-for-performance (DM-P4P) programme in Taiwan.
| Characteristics | Total prescriptions | Intensified therapy group | Therapeutic inertia group | Statistical significance[ |
|---|---|---|---|---|
| 899 135 (100.00%) | 554 320 (61.65%) | 344 815 (38.35%) | ||
| Age | ||||
| <40 years | 29 059 (3.23%) | 19 754 (3.56%) | 9305 (2.70%) | |
| ≥40 and <65 years | 522 397 (58.10%) | 322 236 (58.13%) | 200 161 (58.05%) | |
| ≥65 and <80 years | 347 679 (38.67%) | 212 330 (38.30%) | 135 349 (39.25%) | |
| Sex | NS | |||
| Male | 412 143 (45.84%) | 254 156 (45.85%) | 157 987 (45.82%) | |
| HbA1c levels | ||||
| 7 < HbA1c ≤ 8 | 432 305 (48.08%) | 234 619 (42.33%) | 197 686 (57.33%) | |
| 8 < HbA1c ≤ 9 | 250 293 (27.84%) | 161 507 (29.14%) | 88 786 (25.75%) | |
| 9 < HbA1c ≤ 10 | 139 336 (15.50%) | 98 775 (17.82%) | 40 561 (11.76%) | |
| 10 < HbA1c ≤ 11 | 77 201 (8.59%) | 59 419 (10.72%) | 17 782 (5.16%) | |
| DCSI score (DM severity) | ||||
| 0 | 813 345 (90.46%) | 496 194 (89.51%) | 317 151 (91.98%) | |
| 1 | 49 508 (5.51%) | 32 390 (5.84%) | 17 118 (4.96%) | |
| 2 | 30 330 (3.37%) | 21 219 (3.83%) | 9111 (2.64%) | |
| 3 | 4033 (0.45%) | 2989 (0.54%) | 1044 (0.30%) | |
| 4+ | 1919 (0.21%) | 1528 (0.28%) | 391 (0.11%) | |
| CIC count (DM comorbidity) | ||||
| 0 | 848 499 (94.37%) | 521 024 (93.99%) | 327 475 (94.97%) | |
| 1 | 48 088 (5.35%) | 31 415 (5.67%) | 16 673 (4.84%) | |
| 2 | 2349 (0.26%) | 1750 (0.32%) | 599 (0.17%) | |
| 3 | 180 (0.02%) | 116 (0.02%) | 64 (0.02%) | |
| 4+ | 19 (0.00%) | 15 (0.00%) | 4 (0.00%) | |
Data presented as n of visits (%).
χ2-test was used to compare groups (intensified therapy and therapeutic inertia) on key variables obtained from the National Health Insurance Research Database data set.
HbA1c, glycosylated haemoglobin; DCSI, diabetes comorbidity severity index; DM, diabetes mellitus; CIC, chronic illness with complexity; NS, no significant between-group difference (P ≥ 0.05).
Prescribing patterns in patients (n = 168 876) with diabetes mellitus who underwent intensified therapy or therapeutic inertia and who provided prescription data (n = 899 135) for this study as part of the diabetes mellitus pay-for-performance (DM-P4P) programme in Taiwan.
| Drug classes | Total prescriptions | Intensified therapy group | Therapeutic inertia group |
|---|---|---|---|
| Monotherapy | 119 424 (13.3%) | 45 694 (8.2%) | 73 730 (21.4%) |
| A10BB Sulfonamides | 76 937 (64.4%) | 26 539 (58.1%) | 50 398 (68.4%) |
| A10BA Biguanides | 26 018 (21.8%) | 9102 (19.9%) | 16 916 (22.9%) |
| Insulin | 8672 (7.3%) | 8672 (19.0%) | 0 (0.0%) |
| A10BG Thiazolidinediones | 942 (0.8%) | 333 (0.7%) | 609 (0.8%) |
| Others | 6 855 (5.7%) | 1048 (2.3%) | 5807 (7.9%) |
| Two oral drug combinations | 336 615 (37.4%) | 178 901 (32.3%) | 157 714 (45.7%) |
| Sulfonamides + Biguanides | 265 563 (78.9%) | 147 372 (82.4%) | 118 191 (74.9%) |
| Sulfonamides + TZD | 26 778 (8.0%) | 12 648 (7.1%) | 14 130 (9.0%) |
| Others + Insulin | 2907 (0.9%) | 2907 (1.6%) | 0 (0.0%) |
| Others | 41 367 (12.3%) | 15 974 (8.9%) | 25 393 (16.1%) |
| Three oral drug combinations | 248 788 (27.7%) | 175 989 (31.7%) | 72 799 (21.1%) |
| Sulfonamides + Biguanides + TZD | 109 680 (44.1%) | 72 857 (41.4%) | 36 823 (50.6%) |
| Sulfonamides + Biguanides + Others | 75 613 (30.4%) | 58 868 (33.4%) | 16 745 (23.0%) |
| Sulfonamides + Others + TZD | 13 146 (5.3%) | 9273 (5.3%) | 3873 (5.3%) |
| Biguanides + Others + TZD | 6956 (2.8%) | 4313 (2.5%) | 2643 (3.6%) |
| Sulfonamides + Biguanides + Insulin | 20 597 (8.3%) | 20597 (11.7%) | 0 (0.0%) |
| Others | 22 796 (9.2%) | 10 081 (5.7%) | 12 715 (17.5%) |
| Four or more drugs | 152 554 (17.0%) | 144 928 (26.1%) | 7626 (2.2%) |
| No drugs | 41 754 (4.6%) | 8808 (1.6%) | 32 946 (9.6%) |
Data presented as n of visits (%).
Others, A10BX02 repaglinide, A10BF01 acarbose and A10BX03 nateglinide; TZD, thiazolidinedione.