| Literature DB >> 34245048 |
Hiroyuki Murota1, Tomoko Fujimoto2, Yuichiro Oshima3, Yasuhiko Tamada3, Takeshi Yanagishita3, Naoya Murayama1, Sachie Inoue4, Hiromichi Okatsu5, Hiroshi Miyama5, Hiroo Yokozeki6.
Abstract
The prevalence of primary axillary hyperhidrosis in Japan is 5.75% (males, 6.60%; females, 4.72%) in the population aged 5-64 years. No study on comprehensively evaluated direct medical costs, hygiene product costs, and productivity loss in axillary hyperhidrosis patients has been published in Japan. The aim of this study was to estimate the cost of illness for axillary hyperhidrosis in Japan by conducting a nationwide insurance claims database analysis and a cross-sectional Web-based survey. Among patients diagnosed with primary axillary hyperhidrosis at least once between November 2012 and October 2019, health insurance receipt data of 1447 patients were analyzed. A cross-sectional Web-based survey was conducted on 321 patients aged 16-59 years with axillary hyperhidrosis to calculate hygiene product costs and productivity loss using a Work Productivity and Activity Impairment questionnaire. Furthermore, nationwide estimation was performed for the hygiene product costs and productivity loss based on the number of patients estimated from the prevalence. The annual direct medical costs per axillary hyperhidrosis patient were ¥91 491 in 2016, ¥93 155 in 2017, and ¥75 036 in 2018. In all of these years, botulinum toxin type A injection accounted for approximately 90% of the total costs. The annual total cost of hygiene products per axillary hyperhidrosis patient was ¥9325. The overall work impairment (%) of working patients with axillary hyperhidrosis was 30.52%, and its monthly productivity loss was ¥120 593/patient. The activity impairment (%) of full-time housewives with axillary hyperhidrosis was 49.05% and its monthly productivity loss was ¥176 368/patient. The annual hygiene product cost based on the nationwide estimation was ¥24.5 billion and the monthly productivity loss was ¥312 billion. The significant cost associated with axillary hyperhidrosis was clarified. If out-of-pocket expenses for treatments not covered by health insurance are included in the estimation, the cost will further increase.Entities:
Keywords: axillary hyperhidrosis; cost of illness; direct medical cost; overall work impairment; self-medication cost
Mesh:
Substances:
Year: 2021 PMID: 34245048 PMCID: PMC8518070 DOI: 10.1111/1346-8138.16050
Source DB: PubMed Journal: J Dermatol ISSN: 0385-2407 Impact factor: 4.005
ICD‐10 codes and names of illnesses related to hyperhidrosis
| ICD‐10 codes | Names of illnesses |
|---|---|
| F45 | Nervous hyperhidrosisa |
| R61 | Facial hyperhidrosisa |
| R61 | Focal hyperhidrosisb |
| R61 | Primary focal hyperhidrosisb |
| R61 | Primary palmoplantar hyperhidrosisa |
| R61 | Primary axillary hyperhidrosisb,c |
| R61 | Palmar hyperhidrosisa |
| R61 | Palmoplantar hyperhidrosisa |
| R61 | Plantar hyperhidrosisa |
| R61 | Axillary hyperhidrosisb |
| R61 | Primary systemic hyperhidrosisa |
| R61 | Systemic hyperhidrosisa |
| R61 | Hyperhidrosisb |
Abbreviation: ICD‐10, International Classification of Diseases, 10th Revision.
Selection criteria for the analysis population were: patients diagnosed with primary axillary hyperhidrosisc at least once between November 2012 and October 2019 after the expansion of indications for botulinum toxin type A injection.
Exclusion criteria were: patients diagnosed with hyperhidrosisa at other sites (primary systemic hyperhidrosis, systemic hyperhidrosis, primary palmoplantar hyperhidrosis, palmoplantar hyperhidrosis, palmar hyperhidrosis, plantar hyperhidrosis, facial hyperhidrosis, and nervous hyperhidrosis) between January 2005 and October 2019 for whom data were available.
Receipt data for analysis: receipts for the diagnoses of axillary hyperhidrosis or non‐site‐specific hyperhidrosis (axillary hyperhidrosis, focal hyperhidrosis, primary axillary hyperhidrosis, primary focal hyperhidrosis, and hyperhidrosis).b
Patient background in analysis population of health insurance receipt data
| Items | Values (n = 1447) |
|---|---|
| Sex (male %) | 417 (28.8%) |
| Age (mean ± SD) | 35.7 ± 11.5 |
| Age distribution | |
| 10–19 years | 120 (8.3%) |
| 20–29 years | 350 (24.2%) |
| 30–39 years | 404 (27.9%) |
| 40–49 years | 407 (28.1%) |
| 50–59 years | 146 (10.1%) |
| 60–69 years | 20 (1.4%) |
| Oldest diagnosis of hyperhidrosis (multiple answers allowed) | |
| Focal hyperhidrosis | 10 (0.7%) |
| Primary focal hyperhidrosis | 3 (0.2%) |
| Primary axillary hyperhidrosis | 1320 (91.2%) |
| Hyperhidrosis | 142 (9.8%) |
| Axillary hyperhidrosis | 62 (4.3%) |
Abbreviation: SD, standard deviation.
Age at the oldest diagnosis of hyperhidrosis.
Patient background in the Web‐based survey
| Total | HDSS 2 | HDSS 3 | HDSS 4 | |||||
|---|---|---|---|---|---|---|---|---|
| n | % | n | % | n | % | n | % | |
| Whole population | 321 | 100.0 | 107 | 100.0 | 108 | 100.0 | 106 | 100.0 |
| Sex | ||||||||
| Male | 128 | 39.9 | 47 | 43.9 | 35 | 32.4 | 46 | 43.4 |
| Female | 193 | 60.1 | 60 | 56.1 | 73 | 67.6 | 60 | 56.6 |
| Age distribution | ||||||||
| ≥29 years | 29 | 9.0 | 14 | 13.1 | 7 | 6.5 | 8 | 7.5 |
| 30–39 years | 81 | 25.2 | 20 | 18.7 | 32 | 29.6 | 29 | 27.4 |
| 40–49 years | 141 | 43.9 | 52 | 48.6 | 49 | 45.4 | 40 | 37.7 |
| 50–59 years | 70 | 21.8 | 21 | 19.6 | 20 | 18.5 | 29 | 27.4 |
| Status of employment | ||||||||
| Regular worker | 108 | 33.6 | 35 | 32.7 | 41 | 38.0 | 32 | 30.2 |
| Company executive | 5 | 1.6 | 2 | 1.9 | 1 | 0.9 | 2 | 1.9 |
| Self‐employed worker or family worker | 17 | 5.3 | 6 | 5.6 | 4 | 3.7 | 7 | 6.6 |
| Temporary staff or part‐time worker | 87 | 27.1 | 31 | 29.0 | 28 | 25.9 | 28 | 26.4 |
| Full‐time housewife/househusband | 44 | 13.7 | 14 | 13.1 | 18 | 16.7 | 12 | 11.3 |
| Displaced/unemployed | 49 | 15.3 | 16 | 15.0 | 12 | 11.1 | 21 | 19.8 |
| Student | 5 | 1.6 | 2 | 1.9 | 2 | 1.9 | 1 | 0.9 |
| Others | 6 | 1.9 | 1 | 0.9 | 2 | 1.9 | 3 | 2.8 |
Abbreviation: HDSS, Hyperhidrosis Disease Severity Scale.
Annual hygiene product costs (¥/patient) in patients with axillary hyperhidrosis (by sex and HDSS)
| Items | HDSS | n | Annual hygiene product cost (¥/patient) | |||
|---|---|---|---|---|---|---|
| Mean | SD | Median | ||||
| Overall population | – | 321 | 9325 | 22 452 | 4000 | |
| Breakdown: | Clothes/towels,a and sweat pads | 135 | 6125 | 10 709 | 3000 | |
| Antiperspirants (spray, sheets, and cream) | 265 | 5455 | 11 808 | 3000 | ||
| Body cleansers (soap and body soap) | 137 | 3613 | 3484 | 2000 | ||
| Foods and supplements | 14 | 13 786 | 28 397 | 4500 | ||
| Others | 5 | 6620 | 13 080 | 1000 | ||
| Male | Total | 128 | 10 510 | 31 475 | 3750 | |
| 2 | 47 | 5785 | 13 625 | 2500 | ||
| 3 | 35 | 10 957 | 17 270 | 5500 | ||
| 4 | 46 | 14 999 | 48 339 | 5000 | ||
| Female | Total | 193 | 8539 | 13 539 | 4500 | |
| 2 | 60 | 4884 | 5094 | 3000 | ||
| 3 | 73 | 9226 | 12 251 | 4500 | ||
| 4 | 60 | 11 360 | 19109 | 6000 | ||
Abbreviations: HDSS, Hyperhidrosis Disease Severity Scale; SD, standard deviation.
Newly purchased or replaced clothes because of sweating.
Productivity loss (%) and monthly productivity loss (¥/patient) in patients with axillary hyperhidrosis (by sex and HDSS)
| Sex | Status of employment | HDSS | n | Productivity loss (%) | Monthly productivity loss (¥/patient) | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mean | SD | Median | Mean | SD | Median | |||||
| OWI | Overall population | – | – | 195 | 30.52 | 30.39 | 20.00 | 120 593 | 139 027 | 72 127 |
| Male | Total | – | 103 | 29.03 | 31.26 | 20.00 | 146 164 | 166 750 | 95 583 | |
| Regular | Total | 88 | 29.66 | 31.96 | 20.00 | 159 328 | 174 656 | 103 900 | ||
| 2 | 30 | 12.74 | 21.99 | 0.00 | 70 005 | 127 425 | 0 | |||
| 3 | 27 | 39.30 | 30.53 | 30.00 | 205 773 | 163 947 | 180 008 | |||
| 4 | 31 | 37.64 | 35.38 | 30.00 | 205 316 | 193 307 | 183 370 | |||
| Non‐regular | Total | 15 | 25.33 | 27.48 | 10.00 | 68 941 | 74 429 | 27 924 | ||
| 2 | 8 | 8.75 | 13.56 | 5.00 | 24 890 | 39 488 | 13 641 | |||
| 3 | 2 | 40.00 | 28.28 | 40.00 | 110 978 | 74 547 | 110 978 | |||
| 4 | 5 | 46.00 | 30.50 | 60.00 | 122 607 | 83 104 | 130 740 | |||
| Female | Total | – | 92 | 32.18 | 29.47 | 25.00 | 91 965 | 92 035 | 65 608 | |
| Regular | Total | 38 | 33.18 | 29.25 | 30.00 | 125 819 | 113 204 | 111 631 | ||
| 2 | 12 | 25.90 | 26.20 | 25.00 | 101 851 | 104 824 | 100 621 | |||
| 3 | 17 | 25.29 | 24.01 | 20.00 | 94 444 | 91 293 | 79 603 | |||
| 4 | 9 | 57.78 | 31.14 | 60.00 | 217 040 | 123 196 | 238 810 | |||
| Non‐regular | Total | 54 | 31.48 | 29.87 | 20.00 | 68 142 | 64 785 | 43 738 | ||
| 2 | 18 | 18.33 | 19.78 | 15.00 | 39 013 | 41 756 | 32 725 | |||
| 3 | 20 | 38.50 | 25.81 | 30.00 | 83 739 | 56 126 | 65 608 | |||
| 4 | 16 | 37.50 | 39.41 | 20.00 | 81 415 | 85 635 | 42 995 | |||
| Absenteeism | Overall population | – | – | 195 | 0.49 | 3.30 | 0.00 | 2011 | 11 288 | 0 |
| Male | Total | – | 103 | 0.52 | 2.28 | 0.00 | 2883 | 12 906 | 0 | |
| Regular | Total | 88 | 0.60 | 2.45 | 0.00 | 3374 | 13 915 | 0 | ||
| 2 | 30 | 0.09 | 0.49 | 0.00 | 330 | 1810 | 0 | |||
| 3 | 27 | 0.09 | 0.48 | 0.00 | 519 | 2698 | 0 | |||
| 4 | 31 | 1.55 | 3.95 | 0.00 | 8805 | 22 471 | 0 | |||
| Non‐regular | Total | 15 | 0.00 | 0.00 | 0.00 | 0 | 0 | 0 | ||
| 2 | 8 | 0.00 | 0.00 | 0.00 | 0 | 0 | 0 | |||
| 3 | 2 | 0.00 | 0.00 | 0.00 | 0 | 0 | 0 | |||
| 4 | 5 | 0.00 | 0.00 | 0.00 | 0 | 0 | 0 | |||
| Female | Total | – | 92 | 0.46 | 4.17 | 0.00 | 1036 | 9118 | 0 | |
| Regular | Total | 38 | 0.05 | 0.33 | 0.00 | 214 | 1318 | 0 | ||
| 2 | 12 | 0.17 | 0.59 | 0.00 | 677 | 2345 | 0 | |||
| 3 | 17 | 0.00 | 0.00 | 0.00 | 0 | 0 | 0 | |||
| 4 | 9 | 0.00 | 0.00 | 0.00 | 0 | 0 | 0 | |||
| Non‐regular | Total | 54 | 0.74 | 5.44 | 0.00 | 1614 | 11 861 | 0 | ||
| 2 | 18 | 0.00 | 0.00 | 0.00 | 0 | 0 | 0 | |||
| 3 | 20 | 0.00 | 0.00 | 0.00 | 0 | 0 | 0 | |||
| 4 | 16 | 2.50 | 10.00 | 0.00 | 5448 | 21 791 | 0 | |||
| Presenteeism | Overall population | – | – | 195 | 30.03 | 29.83 | 20.00 | 118 582 | 137 371 | 69 238 |
| Male | Total | – | 103 | 28.51 | 30.99 | 20.00 | 143 282 | 164 906 | 87 398 | |
| Regular | Total | 88 | 29.06 | 31.66 | 20.00 | 155 954 | 172 846 | 103 900 | ||
| 2 | 30 | 12.65 | 21.96 | 0.00 | 69 675 | 127 408 | 0 | |||
| 3 | 27 | 39.20 | 30.46 | 30.00 | 205 254 | 163 521 | 180 008 | |||
| 4 | 31 | 36.10 | 34.98 | 30.00 | 196 511 | 190 902 | 183 370 | |||
| Non‐regular | Total | 15 | 25.33 | 27.48 | 10.00 | 68 941 | 74 429 | 27 924 | ||
| 2 | 8 | 8.75 | 13.56 | 5.00 | 24 890 | 39 488 | 13 641 | |||
| 3 | 2 | 40.00 | 28.28 | 40.00 | 110 978 | 74 547 | 110 978 | |||
| 4 | 5 | 46.00 | 30.50 | 60.00 | 122 607 | 83 104 | 130 740 | |||
| Female | Total | – | 92 | 31.73 | 28.72 | 25.00 | 90 929 | 91 024 | 65 608 | |
| Regular | Total | 38 | 33.13 | 29.20 | 30.00 | 125 605 | 112 986 | 111 631 | ||
| 2 | 12 | 25.73 | 25.95 | 25.00 | 101 174 | 103 858 | 100 621 | |||
| 3 | 17 | 25.29 | 24.01 | 20.00 | 94 444 | 91 293 | 79 603 | |||
| 4 | 9 | 57.78 | 31.14 | 60.00 | 217 040 | 123 196 | 238 810 | |||
| Non‐regular | Total | 54 | 30.74 | 28.61 | 20.00 | 66 527 | 62 010 | 43 738 | ||
| 2 | 18 | 18.33 | 19.78 | 15.00 | 39 013 | 41 756 | 32 725 | |||
| 3 | 20 | 38.50 | 25.81 | 30.00 | 83 739 | 56 126 | 65 608 | |||
| 4 | 16 | 35.00 | 36.33 | 20.00 | 75 967 | 78 878 | 42 995 | |||
| AI | Female | – | Total | 42 | 49.05 | 32.79 | 50.00 | 176 368 | 124 117 | 187 333 |
| 2 | 13 | 35.39 | 29.33 | 40.00 | 121 185 | 100 851 | 139 433 | |||
| 3 | 18 | 57.22 | 28.66 | 60.00 | 207 095 | 108 967 | 207 375 | |||
| 4 | 11 | 51.82 | 41.43 | 40.00 | 191 302 | 157 691 | 153 400 | |||
Abbreviations: ; AI, activity impairment; HDSS, Hyperhidrosis Disease Severity Scale; OWI, overall work impairment; SD, standard deviation; WPAI, Work Productivity and Activity Impairment.
WPAI Questionnaire:
Q1. During the past 7 days, how many hours did you miss from work because of problems associated with your underarm sweating?
Q2. During the past 7 days, how many hours did you actually work?
Q3. During the past 7 days, how much did your underarm sweating affect your productivity while you were working? (Answered on a 0–10 score, with 0 = underarm sweating had no effect on my work and 10 = underarm sweating completely prevented me from working.)
Q4. During the past 7 days, how much did your underarm sweating affect your ability to perform your normal daily activities, other than work at a job? (Answered on a 0–10 score, with 0 = underarm sweating had no effect on my daily activities and 10 = underarm sweating completely prevented me from doing my daily activities.)
Calculating productivity loss (%):
OWI = Q1 / (Q1 + Q2) + (1 − Q1 / [Q1 + Q2]) * (Q3/10).
Absenteeism = Q1 / (Q1 + Q2).
Presenteeism = (1 − Q1 / [Q1 + Q2]) * (Q3 / 10).
AI = Q4 / 10.
Statuses of employment are as follows: “regular”, regular worker, company executive, and self‐employed worker and family worker; “non‐regular”, temporary staff and part‐time worker.
Since there were only two males, AI was not calculated for males.
Nationwide estimated costs of illness associated with axillary hyperhidrosis
| Per axillary hyperhidrosis patient (¥) | Nationwide estimation (¥ billion) | ||||
|---|---|---|---|---|---|
| Male | Female | Male | Female | Total | |
| Hygiene product cost (¥/year) | |||||
| HDSS 2 | 5944 | 4779 | 5.7 | 3.5 | 9.1 |
| HDSS 3 | 9458 | 9300 | 7 | 4.4 | 11.3 |
| HDSS 4 | 8918 | 10 483 | 2.3 | 1.7 | 4 |
| Total | – | – | 15 | 9.5 | 24.5 |
| Productivity loss (¥/month) | |||||
| OWI | |||||
| HDSS 2 | 43 913 | 56 918 | 37.7 | 31.7 | 69.4 |
| HDSS 3 | 166 711 | 82 768 | 110.4 | 29.7 | 140.1 |
| HDSS 4 | 172 824 | 140 131 | 40.6 | 17.6 | 58.2 |
| Total | – | – | 188.6 | 79 | 267.7 |
| AI | |||||
| HDSS 2 | – | 134 266 | – | 18.9 | 18.9 |
| HDSS 3 | – | 226 370 | – | 20.6 | 20.6 |
| HDSS 4 | – | 150 810 | – | 4.8 | 4.8 |
| Total | – | – | – | 44.4 | 44.4 |
| Total | – | – | 188.6 | 123.4 | 312.0 |
Abbreviations: AI, activity impairment; HDSS, Hyperhidrosis Disease Severity Scale; OWI, overall work impairment.
Productivity loss was calculated as below.
Wage (¥/month) = ( ([cash wage [including overtime pay] [monthly]) × 12 + (annual bonus and other special wages [annual])) / 12.
OWI = wage (¥/month) × OWI (%).
AI = household activity evaluation (¥/month) × AI (%).