| Literature DB >> 28875615 |
Minha Hong1, Seung Yup Lee2, Juhee Han2, Jin Cheol Park3, Yeon Jung Lee4, Ram Hwangbo5, Hyejung Chang6, Seong Woo Cho2, Soo Young Bhang7, Bongseog Kim8, Jun Won Hwang9, Geon Ho Bahn10.
Abstract
Children with autism are often medicated to manage emotional and behavioral symptoms; yet, data on such pharmacotherapy is insufficient. In this study, we investigated the Korean National Health Insurance Claims Database (NHICD) information related to autism incidence and psychotropic medication use. From the 2010-2012 NHICD, we selected a total of 31,919,732 subjects under 19 years old. To examine the diagnostic incidence, we selected patients who had at least one medical claim containing an 10th revision of International Statistical Classification of Diseases and Related Health Problems (ICD-10) code for pervasive developmental disorder, F84, not diagnosed in the previous 360 days. Psychotropics were categorized into seven classes. Then, we analyzed the data to determine the mean annual diagnostic incidence and psychotropic prescription trends. Diagnostic incidence was 17,606 for the 3 years, with a mean annual incidence per 10,000 population of 5.52. Among them, 5,348 patients were prescribed psychotropics. Atypical antipsychotics were the most commonly used, followed by antidepressants. An older age, male sex, and the availability of medical aid were associated with a higher rate of prescription than observed for a younger age, female sex, and the availability of health insurance. Psychotropic drugs were used for less than one-third of patients newly diagnosed with autism, and prescription differed by sex and age. Increased diagnostic incidence is associated with an increased prescription of psychotropic drugs. Therefore, medication-related safety data and policies for psychotropic drugs in autism should be prepared.Entities:
Keywords: Adolescent; Antipsychotic Agents; Autistic Spectrum Disorder; Central Nervous System Stimulants; Child; Drug Utilization; Incidence
Mesh:
Substances:
Year: 2017 PMID: 28875615 PMCID: PMC5592185 DOI: 10.3346/jkms.2017.32.10.1687
Source DB: PubMed Journal: J Korean Med Sci ISSN: 1011-8934 Impact factor: 2.153
Cumulative incidence of ASD diagnosis and characteristics of patients with ASD for the period 2010–2012
| Characteristics | Incident cases | |
|---|---|---|
| Sex | Male | 13,559 (77.0) |
| Female | 4,047 (23.0) | |
| Age, yr | 0–3 | 5,120 (29.1) |
| 4–6 | 3,750 (21.3) | |
| 7–9 | 2,445 (13.9) | |
| 10–12 | 2,370 (13.5) | |
| 13–15 | 2,237 (12.7) | |
| 16–18 | 1,684 (9.6) | |
| Type of insurance | NHI | 16,507 (93.8) |
| Medicaid | 1,099 (6.2) | |
| Type of institution | General hospital | 7,340 (41.7) |
| Mental hospital | 1,968 (11.2) | |
| Private clinics | 7,480 (42.5) | |
| Others | 818 (4.7) | |
| All diagnosed as ASD | 17,606 (100.0) | |
Values are presented as number (%).
ASD = autism spectrum disorder, NHI = National Health Insurance, Medicaid = medical aid.
Comparison of cumulative medication rates (%) among different population groups for the period 2010–2012
| Characteristics | No. of medication (%) | χ2 test | |||
|---|---|---|---|---|---|
| Med | Non-med | Total | |||
| Sex | Male | 4,389 (32.4) | 9,170 (67.6) | 13,559 | 110.86* |
| Female | 959 (23.7) | 3,088 (76.3) | 4,047 | ||
| Age, yr | 0–3 | 380 (7.4) | 4,740 (92.6) | 5,120 | 3,551.68* |
| 4–6 | 607 (16.2) | 3,143 (83.8) | 3,750 | ||
| 7–9 | 953 (39.0) | 1,492 (61.0) | 2,445 | ||
| 10–12 | 1,074 (45.3) | 1,296 (54.7) | 2,370 | ||
| 13–15 | 1,291 (57.7) | 946 (42.3) | 2,237 | ||
| 16–18 | 1,043 (61.9) | 641 (38.1) | 1,684 | ||
| Type of insurance | NHI | 4,846 (29.4) | 11,661 (70.6) | 16,507 | 129.77* |
| Medicaid | 502 (45.7) | 597 (54.3) | 1,099 | ||
| Type of institution | General hospital | 1,914 (26.1) | 5,426 (73.9) | 7,340 | 181.15* |
| Mental hospital | 608 (30.9) | 1,360 (69.1) | 1,968 | ||
| Private clinics | 2,647 (35.4) | 4,833 (64.6) | 7,480 | ||
| Others | 179 (21.9) | 639 (78.1) | 818 | ||
| Total | 5,348 (30.4) | 12,258 (69.6) | 17,606 (100.0) | - | |
Med = patients prescribed with one or more psychotropics, Non-med = drug naïve cases, NHI = National Health Insurance, Medicaid = medical aid.
*P < 0.001.
Patterns of psychotropic medications for the period 2010–2012
| Class of psychotropics | No. of prescriptions (%)* | |
|---|---|---|
| AP | Typical AP | 793 (5.8) |
| Atypical AP | 2,785 (20.5) | |
| Subtotal | 3,578 (26.3) | |
| AD | 2,123 (15.6) | |
| AA | Stimulants | 1,691 (12.5) |
| Non-stimulants | 296 (2.2) | |
| Subtotal | 1,987 (14.6) | |
| MS | 1,756 (12.9) | |
| Anx | 1,730 (12.7) | |
| OA | 1,588 (11.7) | |
| Misc | 819 (6.0) | |
| Total prescriptions | 13,581 (100.0) | |
| Average No. of prescription per person | 2.54 | |
AP = antipsychotics, AD = antidepressants, AA = anti-Attention-Deficit/Hyperactivity Disorder (ADHD) drugs, MS = mood stabilizers, Anx = anxiolytics, OA = opioid antagonists, Misc = miscellaneous.
Comparison of prescription patterns by sex for the period 2010–2012
| Sex | No. of prescriptions (%) | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| AP | AD | AA | MS | Anx | OA | Misc | Total | χ2 test | |
| Male | 3,020 (26.9) | 1,753 (15.6) | 1,730 (15.4) | 1,393 (12.4) | 1,367 (12.2) | 1,346 (12.0) | 619 (5.5) | 11,228 (100.0) | 97.92* |
| Female | 558 (23.7) | 370 (15.7) | 257 (10.9) | 363 (15.4) | 363 (15.4) | 242 (10.3) | 200 (8.5) | 2,353 (100.0) | |
| Total | 3,578 (26.3) | 2,123 (15.6) | 1,987 (14.6) | 1,756 (12.9) | 1,730 (12.7) | 1,588 (11.7) | 819 (6.0) | 13,581 (100.0) | |
AP = antipsychotics, AD = antidepressants, AA = anti-Attention-Deficit/Hyperactivity Disorder (ADHD) drugs, MS = mood stabilizers, Anx = anxiolytics, OA = opioid antagonists, Misc = miscellaneous.
*P < 0.001.
Fig. 1Percentage distribution of psychotropic drugs by age group.
AP = antipsychotics, AD = antidepressants, AA = anti-Attention-Deficit/Hyperactivity Disorder (ADHD) drugs, MS = mood stabilizers, Anx = anxiolytics, OA = opioid antagonists, Misc = miscellaneous.