Factors that Affect the Adherence to ADHD Medications during a Treatment Continuation Period in Children and Adolescents: A Nationwide Retrospective Cohort Study Using Korean Health Insurance Data from 2007 to 2011
Several factors, such as male gender, older age, type of insurance, comorbid conditions, and medication type, have been associated with attention-deficit/hyperactivity disorder (ADHD) medication adherence rates, but the results have been inconsistent. We analyzed data to answer several questions: 1)...
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Published in | Psychiatry investigation Vol. 14; no. 2; pp. 158 - 165 |
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Main Authors | , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Korea (South)
Korean Neuropsychiatric Association
01.03.2017
대한신경정신의학회 |
Subjects | |
Online Access | Get full text |
ISSN | 1738-3684 1976-3026 |
DOI | 10.4306/pi.2017.14.2.158 |
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Abstract | Several factors, such as male gender, older age, type of insurance, comorbid conditions, and medication type, have been associated with attention-deficit/hyperactivity disorder (ADHD) medication adherence rates, but the results have been inconsistent. We analyzed data to answer several questions: 1) How old were patients who first refilled their treatment medications used primarily for ADHD, regardless of the medication type? 2) What socio-demographic factors are associated with medication adherence? 3) What medical conditions, such as medication type and comorbid diagnosis, influence adherence?
We analyzed National Health Insurance data, which comprised continuously enrolled Korean National Medical Insurance children (6-18 years) with at least 2 ADHD prescription claims (January 2008-December 2011). The persistence of use regarding the days of continuous therapy without a 30-day gap were measured continuously and dichotomously. Adherence, using a medication possession ratio (MPR), was measured dichotomously (80% cut-off).
The cumulative incidence of index cases that initiated medication refills for ADHD treatment during the 4 year period was 0.85%. The patients who exhibited a MPR greater than 80 comprised approximately 66%. The medication type, high school age groups, physician speciality, treatment at a private clinic, and comorbid conditions were associated with medication adherence during continuous treatment using a multivariate analysis.
A better understanding of ADHD treatment patterns may lead to initiatives targeted at the improvement of treatment adherence and persistence. Other factors, including the severity, family history, costs, type of comorbidities, and switching patterns, will be analyzed in future studies. |
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AbstractList | Objective: Several factors, such as male gender, older age, type of insurance, comorbid conditions, and medication type, have been associated with attention-deficit/hyperactivity disorder (ADHD) medication adherence rates, but the results have been inconsistent. We analyzed data to answer several questions: 1) How old were patients who first refilled their treatment medications used primarily for ADHD, regardless of the medication type? 2) What socio-demographic factors are associated with medication adherence? 3) What medical conditions, such as medication type and comorbid diagnosis, influence adherence? Methods: We analyzed National Health Insurance data, which comprised continuously enrolled Korean National Medical Insurance children (6–18 years) with at least 2 ADHD prescription claims (January 2008–December 2011). The persistence of use regarding the days of continuous therapy without a 30-day gap were measured continuously and dichotomously. Adherence, using a medication possession ratio (MPR), was measured dichotomously (80% cut-off).
Results: The cumulative incidence of index cases that initiated medication refills for ADHD treatment during the 4 year period was 0.85%. The patients who exhibited a MPR greater than 80 comprised approximately 66%. The medication type, high school age groups, physician speciality, treatment at a private clinic, and comorbid conditions were associated with medication adherence during continuous treatment using a multivariate analysis.
Conclusion: A better understanding of ADHD treatment patterns may lead to initiatives targeted at the improvement of treatment adherence and persistence. Other factors, including the severity, family history, costs, type of comorbidities, and switching patterns, will be analyzed in future studies. KCI Citation Count: 2 Several factors, such as male gender, older age, type of insurance, comorbid conditions, and medication type, have been associated with attention-deficit/hyperactivity disorder (ADHD) medication adherence rates, but the results have been inconsistent. We analyzed data to answer several questions: 1) How old were patients who first refilled their treatment medications used primarily for ADHD, regardless of the medication type? 2) What socio-demographic factors are associated with medication adherence? 3) What medical conditions, such as medication type and comorbid diagnosis, influence adherence? We analyzed National Health Insurance data, which comprised continuously enrolled Korean National Medical Insurance children (6-18 years) with at least 2 ADHD prescription claims (January 2008-December 2011). The persistence of use regarding the days of continuous therapy without a 30-day gap were measured continuously and dichotomously. Adherence, using a medication possession ratio (MPR), was measured dichotomously (80% cut-off). The cumulative incidence of index cases that initiated medication refills for ADHD treatment during the 4 year period was 0.85%. The patients who exhibited a MPR greater than 80 comprised approximately 66%. The medication type, high school age groups, physician speciality, treatment at a private clinic, and comorbid conditions were associated with medication adherence during continuous treatment using a multivariate analysis. A better understanding of ADHD treatment patterns may lead to initiatives targeted at the improvement of treatment adherence and persistence. Other factors, including the severity, family history, costs, type of comorbidities, and switching patterns, will be analyzed in future studies. Several factors, such as male gender, older age, type of insurance, comorbid conditions, and medication type, have been associated with attention-deficit/hyperactivity disorder (ADHD) medication adherence rates, but the results have been inconsistent. We analyzed data to answer several questions: 1) How old were patients who first refilled their treatment medications used primarily for ADHD, regardless of the medication type? 2) What socio-demographic factors are associated with medication adherence? 3) What medical conditions, such as medication type and comorbid diagnosis, influence adherence?OBJECTIVESeveral factors, such as male gender, older age, type of insurance, comorbid conditions, and medication type, have been associated with attention-deficit/hyperactivity disorder (ADHD) medication adherence rates, but the results have been inconsistent. We analyzed data to answer several questions: 1) How old were patients who first refilled their treatment medications used primarily for ADHD, regardless of the medication type? 2) What socio-demographic factors are associated with medication adherence? 3) What medical conditions, such as medication type and comorbid diagnosis, influence adherence?We analyzed National Health Insurance data, which comprised continuously enrolled Korean National Medical Insurance children (6-18 years) with at least 2 ADHD prescription claims (January 2008-December 2011). The persistence of use regarding the days of continuous therapy without a 30-day gap were measured continuously and dichotomously. Adherence, using a medication possession ratio (MPR), was measured dichotomously (80% cut-off).METHODSWe analyzed National Health Insurance data, which comprised continuously enrolled Korean National Medical Insurance children (6-18 years) with at least 2 ADHD prescription claims (January 2008-December 2011). The persistence of use regarding the days of continuous therapy without a 30-day gap were measured continuously and dichotomously. Adherence, using a medication possession ratio (MPR), was measured dichotomously (80% cut-off).The cumulative incidence of index cases that initiated medication refills for ADHD treatment during the 4 year period was 0.85%. The patients who exhibited a MPR greater than 80 comprised approximately 66%. The medication type, high school age groups, physician speciality, treatment at a private clinic, and comorbid conditions were associated with medication adherence during continuous treatment using a multivariate analysis.RESULTSThe cumulative incidence of index cases that initiated medication refills for ADHD treatment during the 4 year period was 0.85%. The patients who exhibited a MPR greater than 80 comprised approximately 66%. The medication type, high school age groups, physician speciality, treatment at a private clinic, and comorbid conditions were associated with medication adherence during continuous treatment using a multivariate analysis.A better understanding of ADHD treatment patterns may lead to initiatives targeted at the improvement of treatment adherence and persistence. Other factors, including the severity, family history, costs, type of comorbidities, and switching patterns, will be analyzed in future studies.CONCLUSIONA better understanding of ADHD treatment patterns may lead to initiatives targeted at the improvement of treatment adherence and persistence. Other factors, including the severity, family history, costs, type of comorbidities, and switching patterns, will be analyzed in future studies. |
Author | Choi, Hyung-yun Bhang, Soo-Young Kwack, Young Sook Hwang, Jun-Won Chung, Un-Sun Bahn, Geon Ho Joung, Yoo-Sook Lee, Soyoung Irene Sohn, Seok Han Hong, Minha Yang, Jaewon Lee, Yeon Jung Kim, Bongseog Oh, In Hwan |
AuthorAffiliation | 5 Department of Psychiatry, Sanggyepaik Hospital School of Medicine, Inje University, Seoul, Republic of Korea 14 Department of Psychiatry, Kangwon National University School of Medicine, Chuncheon, Republic of Korea 11 Korea Centers for Disease Control and Prevention, Cheongju, Republic of Korea 13 Department of Psychiatry, Soonchunhyang University College of Medicine, Seoul Hospital, Seoul, Republic of Korea 8 Stress Clinic, Korea Advanced Institute of Science and Technology (KAIST) Clinic, Daejeon, Republic of Korea 9 Department of Psychiatry, Myongji General Hospital, Goyang, Republic of Korea 12 Department of Preventive Medicine, Kyung Hee University School of Medicine, Seoul, Republic of Korea 1 Department of Psychiatry, Eulji University School of Medicine, Eulji University Eulji Hospital, Seoul, Republic of Korea 3 Department of Psychiatry, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea 6 Yonsei Clinic of Psychiatry, Seoul, Republic of Korea 7 Department of Psychiatr |
AuthorAffiliation_xml | – name: 5 Department of Psychiatry, Sanggyepaik Hospital School of Medicine, Inje University, Seoul, Republic of Korea – name: 4 Department of Psychiatry, Soonchunhyang University College of Medicine, Bucheon Hospital, Bucheon, Republic of Korea – name: 11 Korea Centers for Disease Control and Prevention, Cheongju, Republic of Korea – name: 13 Department of Psychiatry, Soonchunhyang University College of Medicine, Seoul Hospital, Seoul, Republic of Korea – name: 2 Department of Psychiatry, Jeju National University College of Medicine, Jeju, Republic of Korea – name: 10 Department of Psychiatry, Kyung Hee University School of Medicine, Seoul, Republic of Korea – name: 8 Stress Clinic, Korea Advanced Institute of Science and Technology (KAIST) Clinic, Daejeon, Republic of Korea – name: 7 Department of Psychiatry, Kyungpook National University School of Medicine, Daegu, Republic of Korea – name: 9 Department of Psychiatry, Myongji General Hospital, Goyang, Republic of Korea – name: 3 Department of Psychiatry, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea – name: 12 Department of Preventive Medicine, Kyung Hee University School of Medicine, Seoul, Republic of Korea – name: 14 Department of Psychiatry, Kangwon National University School of Medicine, Chuncheon, Republic of Korea – name: 6 Yonsei Clinic of Psychiatry, Seoul, Republic of Korea – name: 1 Department of Psychiatry, Eulji University School of Medicine, Eulji University Eulji Hospital, Seoul, Republic of Korea |
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Keywords | Adherence ADHD Stimulants Atomoxetine Cohort Compliance |
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Title | Factors that Affect the Adherence to ADHD Medications during a Treatment Continuation Period in Children and Adolescents: A Nationwide Retrospective Cohort Study Using Korean Health Insurance Data from 2007 to 2011 |
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