Literature DB >> 27051247

Naturalistic Pharmacotherapy Compliance among Pediatric Patients with Attention Deficit/Hyperactivity Disorder: a Study Based on Three-Year Nationwide Data.

Minha Hong1, Bongseog Kim2, Jun-Won Hwang3, Soo-Young Bhang4, Hyung Yun Choi5, In-Hwan Oh6, Yeon Jung Lee7, Geon Ho Bahn8.   

Abstract

We examined short- and long-term medication compliance among youth with attention-deficit hyperactivity disorder (ADHD), using data from the National Health Insurance database in Korea. Of the 5,699,202 6-14-year-old youth in 2008, we chose those with at least 1 medical claim containing an ICD-10 code for diagnosis of ADHD (F90.0) and no prescription for ADHD within the previous 365 days. We tracked the data every 6 months between 2008 and 2011, to determine treatment compliance among newly diagnosed, medicated patients. Further, we checked every 1 month of the 6 months after treatment commencement. Treatment continuity for each patient was calculated by sequentially counting the continuous prescriptions. For measuring compliance, we applied the medication possession ratio (MPR) as 0.6, 0.7, and 0.8, and the gap method as 15- and 30-days' intervals. There were 15,133 subjects; 11,934 (78.86%) were boys. Overall 6-month treatment compliance was 59.0%, 47.3%, 39.9%, 34.1%, 28.6%, and 23.1%. Monthly drop-out rates within the first 6 months were 20.6%, 6.5%, 4.7%, 3.7%, 3.0%, and 2.5%, respectively. When applying MPR more strictly or shorter gap days, treatment compliance lessened. This is the first nationwide report on 36-month treatment compliance of the whole population of 6-14-year-olds with ADHD. We found the beginning of the treatment, especially the first month, to be a critical period in pharmacotherapy. These results also suggest the importance of setting appropriate treatment adherence standards for patients with ADHD, considering the chronic course of ADHD.

Entities:  

Keywords:  Attention Deficit Disorder with Hyperactivity; Compliance; Medication Adherence; National Health Programs

Mesh:

Substances:

Year:  2016        PMID: 27051247      PMCID: PMC4810346          DOI: 10.3346/jkms.2016.31.4.611

Source DB:  PubMed          Journal:  J Korean Med Sci        ISSN: 1011-8934            Impact factor:   2.153


INTRODUCTION

In the Diagnostic and Statistical Manual of Mental Disorders 5th edition (DSM-5), attention-deficit/hyperactivity disorder (ADHD) is included in the category of neurodevelopmental disorders (1). This seemingly supports previous studies’ reports that ADHD shows chronic progression and that symptoms persist into adulthood in approximately 50% of individuals (2-7). Compared to typical adults, those with ADHD have a higher rate of substance abuse, lower education levels, and lower occupational ability (8-10). In this regard, considering the chronic progression of ADHD and the socioeconomic costs of the disease itself, long-term continued treatment is essential. However, administration of long-term treatment is difficult in practice. Of the various treatment methods that might be applicable in the long term, drug treatment is the main choice, although compliance thereto is low. Although the results of previous studies differ, due to methodological differences, 3-year long-term drug compliance for pediatric ADHD patients is approximately 30% (11-16). In particular, there are large differences in the 6-month drop-out rate, at 20% (17), 42.4% (18), and more than 80% (19), depending on the drop-out criteria. Although the treatment discontinuance rate is high, it is also not true that all pediatric patients receive medicinal treatment after diagnosis of ADHD. In a previous study (20), the proportion of patients starting drug treatment after ADHD diagnosis was 69%, and studies in the United States using a birth cohort or a local community sample have found drug treatment rates of 59%–73% (21-23). Various methods are used to assess continuation of drug treatment, including the medication possession ratio or “MPR” (24-26) and gap days (27). In a previous study on a small sample (18), authors suggested that it was not appropriate to apply the same criteria for drug treatment in psychiatry, particularly pediatric ADHD, as those applied to other chronic diseases, such as hypertension. At the same time, authors proposed the need for verification in a larger sample. Hence, following from the previous study, in this study, we analyzed 3-year treatment continuation rates in a large group, using data from the Health Insurance Review and Assessment Service (HIRA), and identified differences in compliance, based on the conventional criteria for treatment compliance.

MATERIALS AND METHODS

Study subjects

The recruitment group for the present study consisted of a population aged less than 19 years, accessible in the medical claims data for the South Korean National Health Insurance Service (NHIS), obtained from January 1, 2007 to December 31, 2011. The data spans five years because this is the limit for use of the data for research purposes set by the NHIS in South Korea. The aim of the study was to investigate 3-year patterns of drug treatment continuation for pediatric ADHD patients; therefore, subjects were selected according to the criteria outlined below. First, we selected individuals diagnosed at least once as ICD-10 F90.0, either as inpatients or outpatients. Second, in order to study drug-naïve patients only, we set the washout period to 365 days, in accordance with Hong et al.’s criteria (20). In other words, we selected individuals who were diagnosed between January, 1 and December, 31, 2008, excluding those with a history of treatment between January, 1 and December 2007, 31. Third, because the drug continuance period under study was at least 3 years, we placed an upper limit on subjects’ age, such that they should be < 19 years old on December 2011, 31, which was the end-point of usable data. The upper limit for age was set at 19 years because approval for pharmaceutical treatment for ADHD is limited to individuals aged < 19 years in Korea. Therefore, official NHIS medical claims for ADHD drugs are recorded only for individuals aged < 19 years. Within the recruitment group, individuals from the general population, who fulfilled the above-mentioned criteria, were 5,699,202 individuals aged 6–14 years between January 1 and December 31, 2008 (Fig. 1). Among this group were 15,133 individuals who started drug treatment after being first diagnosed with ADHD in 2008; these individuals made up the final sample for analysis in this study.
Fig. 1

Flowchart of analysis of treatment continuity among pediatric patients with attention deficit/hyperactivity disorder (ADHD), based on the general population.

Flowchart of analysis of treatment continuity among pediatric patients with attention deficit/hyperactivity disorder (ADHD), based on the general population.

Research methods

We analyzed the subjects’ age, sex, type of medical benefits program (medical insurance/medical protection), attending physicians’ sub-specialty (Psychiatry, Pediatrics, or other), and type of medical institution visited (hospital/clinic). The drug continuance period was confirmed on the basis of drug use, as claimed from HIRA. Various techniques, other than drugs, are implemented in the treatment of ADHD. However, in the South Korean medical insurance system, the majority of non-medicinal treatments, such as play therapy, music therapy, and cognitive therapy, are outside the range of medical benefits; so, the analysis in this study was unavoidably limited to drug treatment. Of the drugs approved for ADHD treatment in South Korea, we analyzed immediate-release methylphenidate (MPH) (Phenid®), extended-release MPH (Metadate®), and osmotic-release oral system-MPH (Concerta® OROS), which are MPH formulations; as well as non-stimulant atomoxetine (Strattera®).

Treatment compliance and attrition

The criteria for treatment compliance in this study were the same as those in Wong et al.’s study (16), with acceptance of cases with at least two rounds of drug prescription coupled with outpatient visits over a 6-month period. We defined at least two claims coupled with outpatient visits as drug continuance because it was not possible to confirm drug continuance from a single visit or prescription. Based on those criteria, we investigated the extent of drug continuance over 6-month intervals from the start of treatment. We determined adherence through MPR, using the following method (27): number of days of medication supplied within the refill interval/number of days in the refill interval. In order to investigate differences according to the extent of MPR, we applied threshold values of 0.6, 0.7, and 0.8. Persistence was defined as the number of days of continuous therapy without a specified gap period during the post-index period (27), and to determine the gap period, we looked at the 15-day and 30-day results. We also investigated drug continuance according to the number of hospital visits. Considering the high treatment drop-out rate by the authors (18), the distribution of drop-out rates over 6 months for the treatment drop-out group was analyzed in 1-month units.

Statistical analysis

The data were processed using SAS 9.3 (SAS Institute Inc., Cary, NC, USA), and descriptive statistical analysis was performed for all the data.

Ethics statement

This study was approved by the institutional review board of Kyung Hee University Hospital, Seoul (KMC-IRB 1436-04). Informed consent was waived by the board.

RESULTS

Demographic data

The study subjects’ mean age was 9.66 years (SD: 2.57), and there were 11,934 male children (78.9%) and 3,199 female children (21.2%) (Table 1). The proportion of individuals covered under the national health insurance was 99.2% (15,010 persons). For 94.9% of the subjects, the specialty of the physician providing initial diagnosis was Psychiatry; for 3.5%, physician specialty was Pediatrics. The proportion of general hospitals and private clinics visited was 28.7% and 71.3%, respectively.
Table 1

Demographic and clinical characteristics of subjects with ADHD

ParametersNo. (%) of children
BoysGirlsTotal
Age group, yr
 61,449 (81.6)326 (18.4)1,775 (100)
 71,835 (81.1)427 (18.9)2,262 (100)
 81,595 (79.8)403 (20.2)1,998 (100)
 91,419 (78.8)382 (21.2)1,801 (100)
 101,185 (79.7)301 (20.3)1,486 (100)
 111,034 (80.0)258 (20.0)1,292 (100)
 121,181 (76.5)363 (23.5)1,544 (100)
 131,299 (74.8)438 (25.2)1,737 (100)
 14937 (75.7)301 (24.3)1,238 (100)
11,934 (78.86)3,199 (21.14)15,133 (100)
Mean age (SD), yr9.66 (2.57)
Median age (IQR), yr9.00 (7-12)
Insurance
 National health insurance15,010 (99.19)
 Medical aid123 (0.81)
Physicians' sub-specialty
 Psychiatry14,359 (94.89)
 Pediatrics534 (3.53)
 Others240 (1.58)
Treatment facility
 General hospital4,346 (28.72)
 Private clinic10,787 (71.28)

SD, standard deviation; IQR, interquartile range.

Treatment compliance patterns

Naturalistic treatment compliance was 59.0% for the first 6 months, 47.4% for 12 months, 39.9% for 18 months, 34.1% for 24 months, 28.6% for 30 months, and 23.1% for 36 months (Fig. 2). There were no differences in treatment compliance patterns according to MPR criteria or gap days, but the drop-out rate for MPR increased from 0.6, to 0.7, to 0.8, and for gap days, it increased from 30-day gaps to 15-day gaps. In terms of drop-out rate according to the number of outpatient visits, 50.1% of the total study subject population (7,585/15,133) had dropped out after the 10th visit (Fig. 3).
Fig. 2

Adherence/persistence rate (%) every six months according to naturalistic compliance and MPR (Medication Possession Ratio). NTC, naturalistic treatment compliance; MPR, medication possession ratio; D, day(s).

Fig. 3

Proportion of compliant/drop-out patients by number of outpatient clinic and hospital visits. V, visit.

Adherence/persistence rate (%) every six months according to naturalistic compliance and MPR (Medication Possession Ratio). NTC, naturalistic treatment compliance; MPR, medication possession ratio; D, day(s). Proportion of compliant/drop-out patients by number of outpatient clinic and hospital visits. V, visit.

Drop-out rate within 6 months

Of the total study population of 15,133 individuals, 6,201 (41.0%) dropped out within 6 months. The drop-out rates at 1-month intervals during the first 6 months were 20.6%, 6.5% 4.7%, 3.7%, 3.0%, and 2.5%. The number of drop-outs within the first month after initiation of treatment made up 50.3% (3,120/6,201) of individuals who dropped out within 6 months (40.98%), and 20.6% (3,120/15,133) of the total study subject population (Fig. 4). The 20.6% who dropped out within 1 month visited the hospital less than 3 times (Fig. 3 and 4).
Fig. 4

Drop-out rate (%) of total study population during initial six months. M, month.

Drop-out rate (%) of total study population during initial six months. M, month.

DISCUSSION

Unlike the present study, there are almost no large-scale, nationwide, long-term drug treatment studies on pediatric ADHD patients. This is because there are not many countries like South Korea or Taiwan that have adopted a single medical insurance system for the whole country, including more than 97% of the total population. Because the medical guarantee system is a product of a country’s unique institutional and historical characteristics, one cannot easily compare according to types of medical guarantee system. Therefore, there is a lack of existing data against which the current study results can be compared. In a study analyzing drug continuance among 40,052 children with ADHD in the southern United States, based on the Medicaid claims database, when applying a 1-month gap, 47.4% of the study population showed drug continuance after 6 months, and 26.9% showed continuance after 12 months (15). When applying a 30-day gap (1-month gap) in the present study, the drug continuance rate after 1 year was 10.4%. In a study by Winterstein et al. (15), when using a 3-month gap, drug continuance was 49.9% after 1 year, 32.8% after 2 years, 17.2% after 5 years, and 15.4% after 9 years. The naturalistic treatment compliance of 47.4% after 1 year in the present study was similar to the result obtained by Winterstein et al. (15) (49.4%), when using a 3-month gap. Although there will be other confounding factors affecting these differences, it should be first be noted that the study subjects in the two studies were recruited from different types of insurance systems. Specifically, Winterstein et al.’s (15) study subjects were drawn from the Medicaid population (low-income group and minorities) in one region in the United States. Our study subjects subscribed to a medical insurance group representing the total population of Korea; in this group, 99.19% of the affiliates of the insurance group are self-funding. A study by Wong et al. (16), using the United Kingdom’s General Practice Research Database (GPRD), defined treatment persistence as an interval between claims that spans less than 6 months. The drug continuance rate was 83% after 1 year, 54% after 2 years, 36% after 3 years, 24% after 4 years, 22% after 5 years, and 17% after 6 years. In the present study, we adopted the criteria of Wong et al. (16), but the treatment compliance rate was 47.35% after 1 year, 34.13% after 2 years, and 23.09% after 3 years; these rates were lower than those obtained by Wong et al. (16). These differences could be due to the fact that the United Kingdom’s medical system is socialist, whereas in Korea, the insurance system is funded both by individuals and the government. In a retrospective analysis of the medical records of 300 pediatric ADHD patients from a single Korean university hospital (18), naturalistic treatment continuance was found to be 47.3% after 1 year, 29.3% after 2 years, and 20.0% after 3 years. This is similar to the results of the present study, which used data from the whole population. Although there are differences, to some extent, results from international studies and those of the present study show that long-term treatment compliance in pediatric ADHD patients decreases rapidly over time. Hodgkins et al. (28) used data from 4,909 individuals in the Netherlands, who had been newly diagnosed with ADHD and commenced treatment. Defining adherence as MPR > 0.8, they reported an adherence rate of 64% for the first 3 months, and 44% after 1 year. In other words, their drop-out rates of 36% and 56% after 3 months and 1 year, respectively, were similar to the results of the present study, at 34.8% and 53.6%. In addition, there are studies on drop-out rates at around 6 months (3,17,19), but there are almost no studies on treatment compliance patterns during the first 6 months, even though this is the critical period in which the highest proportion of patients drop out. In the present study, when we performed a detailed analysis of the drop-out rates at 1-month intervals over the first 6 months, known to be the critical period for treatment continuance, we found that approximately one fifth of the total patient group dropped out within 1 month of starting drug treatment. The possible explanation of these high early drop-outs might be lack of enough awareness among parents, children, and physicians. Kim et al. (29) suggested parent educational program at or before initiation of pharmacotherapy might increase the long term treatment compliance. There was a positive correlation between the length before pharmacotherapy initiation after diagnosis of ADHD, and treatment compliance at 6-month after initiation of pharmacotherapy. Also recent qualitative study with 25 parents of children with ADHD and 18 practitioners highlighted the importance of parenting programs (30). Considering that ADHD is a condition with a high risk of chronicity, there is a need to provide practice guidelines by performing analysis and establishing measures to account for attrition in the first 6 months, and particularly in the first 4 weeks after commencement of drug treatment. Although the present study used a large amount of data obtained from the entire national population, this presented some limitations. First, when using data from HIRA, because the necessary consent for use of personal information has not been received, it is impossible to confirm information for several useful parameters, including parents’ education, socioeconomic status, and area of residence. Second, because it is not possible to confirm data for non-medicinal treatment due to the nature of the HIRA data, it was not possible to investigate treatment continuance rates for these treatment methods. In spite of these limitations, the present study is significant, as it is the first to investigate naturalistic pharmacotherapy continuance rates for the first 3 years for ADHD patients, using the entire 6–18-year-old South Korean population.
  27 in total

1.  Validity of the World Health Organization Adult ADHD Self-Report Scale (ASRS) Screener in a representative sample of health plan members.

Authors:  Ronald C Kessler; Lenard A Adler; Michael J Gruber; Chaitanya A Sarawate; Thomas Spencer; David L Van Brunt
Journal:  Int J Methods Psychiatr Res       Date:  2007       Impact factor: 4.035

2.  A 36 month naturalistic retrospective study of clinic-treated youth with attention-deficit/hyperactivity disorder.

Authors:  Minha Hong; Won Hye Lee; Duk Soo Moon; Sang Min Lee; Un-Sun Chung; Geon Ho Bahn
Journal:  J Child Adolesc Psychopharmacol       Date:  2014-06-23       Impact factor: 2.576

3.  Cessation of attention deficit hyperactivity disorder drugs in the young (CADDY)--a pharmacoepidemiological and qualitative study.

Authors:  I C K Wong; P Asherson; A Bilbow; S Clifford; D Coghill; R DeSoysa; C Hollis; S McCarthy; M Murray; C Planner; L Potts; K Sayal; E Taylor
Journal:  Health Technol Assess       Date:  2009-10       Impact factor: 4.014

4.  Utilization patterns of stimulants in ADHD in the Medicaid population: a retrospective analysis of data from the Texas Medicaid program.

Authors:  Kenneth A Lawson; Michael Johnsrud; Paul Hodgkins; Rahul Sasané; M Lynn Crismon
Journal:  Clin Ther       Date:  2012-03-22       Impact factor: 3.393

Review 5.  Long-term prognosis in attention-deficit/hyperactivity disorder.

Authors:  S Mannuzza; R G Klein
Journal:  Child Adolesc Psychiatr Clin N Am       Date:  2000-07

6.  Adult outcome of hyperactive boys. Educational achievement, occupational rank, and psychiatric status.

Authors:  S Mannuzza; R G Klein; A Bessler; P Malloy; M LaPadula
Journal:  Arch Gen Psychiatry       Date:  1993-07

7.  Examination of DSM-IV criteria for attention deficit/hyperactivity disorder in a county-wide sample.

Authors:  M L Wolraich; J N Hannah; A Baumgaertel; I D Feurer
Journal:  J Dev Behav Pediatr       Date:  1998-06       Impact factor: 2.225

8.  National survey of adherence, efficacy, and side effects of methylphenidate in children with attention-deficit/hyperactivity disorder in Taiwan.

Authors:  Susan Shur-Fen Gau; Shin-Jaw Chen; Wen-Jiun Chou; Helen Cheng; Ching-Shu Tang; Hsueh-Ling Chang; Ruu-Fen Tzang; Yu-Yu Wu; Ya-Fen Huang; Miao-Chun Chou; Hsin-Yi Liang; Ya-Chen Hsu; Hui-Hua Lu; Yu-Shu Huang
Journal:  J Clin Psychiatry       Date:  2008-01       Impact factor: 4.384

9.  Utilization of pharmacologic treatment in youths with attention deficit/hyperactivity disorder in Medicaid database.

Authors:  Almut G Winterstein; Tobias Gerhard; Jonathan Shuster; Julie Zito; Michael Johnson; Huazhi Liu; Arwa Saidi
Journal:  Ann Pharmacother       Date:  2007-11-27       Impact factor: 3.154

10.  ADHD from a socio-economic perspective.

Authors:  Lars Bernfort; Sam Nordfeldt; Jan Persson
Journal:  Acta Paediatr       Date:  2008-02       Impact factor: 2.299

View more
  6 in total

1.  Patterns of the Diagnosis Prevalence of Psychiatric Disorders in the Population Aged 0-18 Years Based on the Nationwide Insurance Sample Data.

Authors:  Seung Yup Lee; Geon Ho Bahn
Journal:  Soa Chongsonyon Chongsin Uihak       Date:  2020-10-01

2.  Beliefs regarding medication and side effects influence treatment adherence in adolescents with attention deficit hyperactivity disorder.

Authors:  Maria Emilsson; Per A Gustafsson; Gisela Öhnström; Ina Marteinsdottir
Journal:  Eur Child Adolesc Psychiatry       Date:  2016-11-15       Impact factor: 4.785

3.  The association between methylphenidate treatment and the risk for fracture among young ADHD patients: A nationwide population-based study in Taiwan.

Authors:  Vincent Chin-Hung Chen; Yao-Hsu Yang; Yin-To Liao; Ting-Yu Kuo; Hsin-Yi Liang; Kuo-You Huang; Yin-Cheng Huang; Yena Lee; Roger S McIntyre; Tzu-Chin Lin
Journal:  PLoS One       Date:  2017-03-15       Impact factor: 3.240

4.  Adherence to treatment in paediatric patients - results of the nationwide survey in Poland.

Authors:  Przemyslaw Kardas; Marek Dabrowa; Konrad Witkowski
Journal:  BMC Pediatr       Date:  2021-01-06       Impact factor: 2.125

5.  Combined Medication with Stimulants and Non-stimulants for Attention-deficit/hyperactivity Disorder.

Authors:  Geon Ho Bahn; Kyunghoon Seo
Journal:  Clin Psychopharmacol Neurosci       Date:  2021-11-30       Impact factor: 2.582

6.  Comparison of Persistence and Adherence Between Adults Diagnosed with Attention Deficit/Hyperactivity Disorder in Childhood and Adulthood.

Authors:  Sang-Min Lee; Hyeon-Kyoung Cheong; In-Hwan Oh; Minha Hong
Journal:  Neuropsychiatr Dis Treat       Date:  2021-10-15       Impact factor: 2.570

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.