| Literature DB >> 28579813 |
Sayako Akiyama1, Erika Tanaka2, Olivier Cristeau3, Yoshie Onishi4, Yutaka Osuga5.
Abstract
PURPOSE: This study aimed to describe treatment patterns and estimate health care resource utilization and associated costs among Japanese women with dysmenorrhea, using a claims database.Entities:
Keywords: database analysis; dysmenorrhea; economic burden; resource use and costs; treatment patterns; women’s health
Year: 2017 PMID: 28579813 PMCID: PMC5446961 DOI: 10.2147/CEOR.S127760
Source DB: PubMed Journal: Clinicoecon Outcomes Res ISSN: 1178-6981
Figure 1Flow chart of selection process for patients with dysmenorrhea.
Abbreviations: JMDC, Japan Medical Data Center; ICD10, International Classification of Disease 10th revision; MEDIS-DC, Medical Information System-Development Center.
Type of treatment evaluated in the analysis
| Hormonal treatments | Analgesic agents | Hemostatic agents | TCM therapies | Surgical procedures |
|---|---|---|---|---|
| LEP: | NSAIDs, prescribed with a diagnosis of pain | • Tranexamic acid | • Tokishakuyakusan extract | Complete ablation: |
Notes:
As suggested by experts, physicians may prescribe NSAIDs to patients, associated with a diagnosis of headache, acute pain, pain in the abdomen (upper, lower, or unspecified), low back pain, and pelvic and perineal pain.
Surgical procedure codes were identified based on the medical procedure index available on the MHLW website.23
Abbreviations: GnRH, gonadotropin-releasing hormone; LEP, low-dose estrogen progestin; NSAIDs, nonsteroidal anti-inflammatory drugs; TCM, traditional Chinese medicine.
Patient baseline characteristics at index date
| Characteristics | Primary (N=3,441) | Secondary (N=2,874) | Total (N=6,315) | |
|---|---|---|---|---|
| Mean (SD) age, years, at index date | 31.64 (7.92) | 35.65 (8.01) | 33.47 (8.21) | <0.0001 |
| Age, years, category, N (%) | ||||
| 18–34 | 2,174 (63.18) | 1,170 (40.71) | 3,344 (52.95) | <0.0001 |
| 35–39 | 608 (17.67) | 609 (21.19) | 1,217 (19.27) | |
| 40–49 | 659 (19.15) | 1,095 (38.10) | 1,754 (27.78) | |
| Type of member, N (%) | ||||
| Individual | 1,570 (45.63) | 1,289 (44.85) | 2,859 (45.27) | 0.54 |
| Family | 1,871 (54.37) | 1,585 (55.15) | 3,456 (54.73) | |
| Disease status, N (%) | ||||
| Dysmenorrhea only | 3,385 (98.37) | 2,734 (95.13) | 6,119 (96.90) | <0.0001 |
| Both dysmenorrhea and HMB | 56 (1.63) | 140 (4.87) | 196 (3.10) | |
| Underlying conditions, N (%) | ||||
| Endometriosis | 0 | 2,071 (72.06) | 2,071 (72.06) | NA |
| Adenomyosis | 0 | 296 (10.30) | 296 (10.30) | |
| Fibroids | 0 | 1,166 (40.57) | 1,166 (40.57) | |
| CCI category, N (%) | ||||
| 0 | 2,706 (78.64) | 2,269 (78.95) | 4,975 (78.78) | 0.61 |
| 1 | 614 (17.84) | 494 (17.19) | 1,108 (17.55) | |
| 2 | 104 (3.02) | 95 (3.31) | 199 (3.15) | |
| 3 | 15 (0.44) | 11 (0.38) | 26 (0.41) | |
| 4+ | 2 (0.06) | 5 (0.17) | 7 (0.11) | |
| Top five comorbidities at baseline, N (%) | ||||
| Primary ovarian dysfunction (ovarian insufficiency, luteal phase deficiency) | 861 (25.02) | 533 (18.55) | 1,394 (22.07) | <0.0001 |
| Erosion and ectropion of cervix uteri | 538 (15.63) | 625 (21.75) | 1,163 (18.42) | <0.0001 |
| Iron deficiency anemia, unspecified | 214 (6.22) | 566 (19.69) | 780 (12.35) | <0.0001 |
| Acute vaginitis | 351 (10.20) | 417 (14.51) | 768 (12.16) | <0.0001 |
| Low back pain | 280 (8.14) | 322 (11.20) | 602 (9.53) | <0.0001 |
Abbreviations: CCI, Charlson Comorbidity Index; HMB, heavy menstrual bleeding; SD, standard deviation.
Figure 2Treatment patterns in primary dysmenorrhea cohort (n=3,441).
Note: Boxes in the treatment patterns are colored according to the drug used in the first treatment line.
Abbreviations: GnRH, gonadotropin-releasing hormone; Hemo. agents, hemostatic agents; LEP, low-dose estrogen progestin; NSAID, nonsteroidal anti-inflammatory drug; TCM, traditional Chinese medicine; Test. deriv., testosterone derivatives.
Figure 3Treatment patterns in secondary dysmenorrhea cohort (n=2,874).
Note: Boxes in the treatment patterns are colored according to the drug used in the first treatment line.
Abbreviations: GnRH, gonadotropin-releasing hormone; Hemo. agents, hemostatic agents; LEP, low-dose estrogen progestin; NSAID, nonsteroidal anti-inflammatory drug; TCM, traditional Chinese medicine; Test. deriv., testosterone derivatives.
Health care resource utilization and costs in women with vs without dysmenorrhea
| Resource | Primary
| Secondary
| Primary vs Secondary
| ||||
|---|---|---|---|---|---|---|---|
| Controls (N=6,882) | Cases (N=3,441) | Adjusted | Controls (N=5,746) | Cases (N=2,873) | Adjusted | Adjusted | |
| Inpatient care | |||||||
| Number of admissions | 1.13 (0.46) | 1.23 (0.65) | Δ=0.0002 (NS) | 1.25 (1.18) | 1.11 (0.35) | Δ=0.0565 | Δ=0.0563 |
| Number of inpatient days | 12.64 (35.11) | 13.48 (18.61) | Δ=1.254 (NS) | 13.24 (27.18) | 10.31 (13.20) | Δ=2.190 | Δ=1.746 |
| Total inpatient costs, JPY | 21,998 (180,505) | 29,307 (174,684) | 24,853 (197,543) | 64,724 (234,550) | |||
| Outpatient care | |||||||
| Number of visits | 8.41 (10.71) | 18.61 (15.46) | Δ=7.995 | 8.49 (9.53) | 18.32 (13.65) | Δ=8.463 | Δ=0.468(NS) |
| Number of imaging procedures | 1.78 (1.59) | 2.28 (2.82) | Δ=0.872 | 1.81 (1.82) | 2.49 (2.35) | Δ=1.757 | Δ=0.885 |
| Total outpatient costs, JPY | 42,911 (104,127) | 111,386 (111,232) | Δ=51,544 | 46,997 (152,599) | 131,589 (115,530) | Δ=75,017 | Δ=23,474 |
| Pharmacy | |||||||
| Total pharmacy costs, JPY | 18,706 (64,620) | 50,987 (77,456) | 18,862 (59,193) | 50,175 (81,018) | |||
| Total health care costs, JPY | 83,615 (246,093) | 191,680 (261,226) | 90,711 (297,513) | 246,488 (295,936) | |||
Notes: Data reported as mean (SD) unless otherwise stated.
Analyses adjusted by age category, total preindex medical costs, presence of preindex hospitalization, type of insurance, quantity corresponding to the modeled variable computed over the preindex period; Generalized Linear Models with negative binomial distribution with identity link function (Δ) or log link function (r). Remark: the annual pharmacy costs attributable to dysmenorrhea mentioned in the discussion (JPY 31,840) were determined as a weighted average of differences in costs between cases and controls across primary and secondary cases.
p<0.001;
p<0.01;
p<0.05.
Abbreviations: NS, not statistically significant; SD, standard deviation.