Holistic Consideration of Patients with Schizophrenia to Improve Medication Adherence and Outcomes

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4 Citations (Scopus)

Abstract

Although several algorithms have been applied to treat patients with schizophrenia, their clinical use remains still limited, because most emphasize the prescription of antipsychotics. A new algorithm with a more holistic approach to treating patients with schizophrenia, to be used before applying traditional prescribing guidelines, was thus proposed by an expert team of Taiwanese psychiatrists. In this algorithm, several important treatment tasks/modalities are proposed, including long-acting injection antipsychotics, shared decision-making, a case management system, compulsory treatment by law, community rehabilitation programs, the patients' feeling about their health care professionals (patients' behaviors) and their attitude/knowledge of their conditions/ illness. This study proposes that evaluating the medication adherence of patients can be determined by two key domains, namely patients' behaviors and attitudes. Based on different levels of their behaviors (X-axis) and attitude/knowledge (Y-axis), it is possible to categorize patients with schizophrenia into six subgroups, for which various different interventions, including the use of antipsychotics, could be applied and integrated. Further research is needed to assess the applicability of this treatment algorithm in clinical settings.

Original languageEnglish
Pages (from-to)138-143
Number of pages6
JournalClinical Psychopharmacology and Neuroscience
Volume13
Issue number2
DOIs
Publication statusPublished - 2015 Aug 1

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Medication Adherence
Schizophrenia
Antipsychotic Agents
Case Management
Prescriptions
Psychiatry
Decision Making
Emotions
Therapeutics
Rehabilitation
Guidelines
Delivery of Health Care
Injections
Research

All Science Journal Classification (ASJC) codes

  • Psychiatry and Mental health
  • Behavioral Neuroscience
  • Pharmacology (medical)

Cite this

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title = "Holistic Consideration of Patients with Schizophrenia to Improve Medication Adherence and Outcomes",
abstract = "Although several algorithms have been applied to treat patients with schizophrenia, their clinical use remains still limited, because most emphasize the prescription of antipsychotics. A new algorithm with a more holistic approach to treating patients with schizophrenia, to be used before applying traditional prescribing guidelines, was thus proposed by an expert team of Taiwanese psychiatrists. In this algorithm, several important treatment tasks/modalities are proposed, including long-acting injection antipsychotics, shared decision-making, a case management system, compulsory treatment by law, community rehabilitation programs, the patients' feeling about their health care professionals (patients' behaviors) and their attitude/knowledge of their conditions/ illness. This study proposes that evaluating the medication adherence of patients can be determined by two key domains, namely patients' behaviors and attitudes. Based on different levels of their behaviors (X-axis) and attitude/knowledge (Y-axis), it is possible to categorize patients with schizophrenia into six subgroups, for which various different interventions, including the use of antipsychotics, could be applied and integrated. Further research is needed to assess the applicability of this treatment algorithm in clinical settings.",
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AU - Lee, Lan Ting

AU - Chen, Kao Chin

AU - Chang, Wei Hung

AU - Chen, Po See

AU - Lee, I. Hui

AU - Yang, Yen Kuang

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N2 - Although several algorithms have been applied to treat patients with schizophrenia, their clinical use remains still limited, because most emphasize the prescription of antipsychotics. A new algorithm with a more holistic approach to treating patients with schizophrenia, to be used before applying traditional prescribing guidelines, was thus proposed by an expert team of Taiwanese psychiatrists. In this algorithm, several important treatment tasks/modalities are proposed, including long-acting injection antipsychotics, shared decision-making, a case management system, compulsory treatment by law, community rehabilitation programs, the patients' feeling about their health care professionals (patients' behaviors) and their attitude/knowledge of their conditions/ illness. This study proposes that evaluating the medication adherence of patients can be determined by two key domains, namely patients' behaviors and attitudes. Based on different levels of their behaviors (X-axis) and attitude/knowledge (Y-axis), it is possible to categorize patients with schizophrenia into six subgroups, for which various different interventions, including the use of antipsychotics, could be applied and integrated. Further research is needed to assess the applicability of this treatment algorithm in clinical settings.

AB - Although several algorithms have been applied to treat patients with schizophrenia, their clinical use remains still limited, because most emphasize the prescription of antipsychotics. A new algorithm with a more holistic approach to treating patients with schizophrenia, to be used before applying traditional prescribing guidelines, was thus proposed by an expert team of Taiwanese psychiatrists. In this algorithm, several important treatment tasks/modalities are proposed, including long-acting injection antipsychotics, shared decision-making, a case management system, compulsory treatment by law, community rehabilitation programs, the patients' feeling about their health care professionals (patients' behaviors) and their attitude/knowledge of their conditions/ illness. This study proposes that evaluating the medication adherence of patients can be determined by two key domains, namely patients' behaviors and attitudes. Based on different levels of their behaviors (X-axis) and attitude/knowledge (Y-axis), it is possible to categorize patients with schizophrenia into six subgroups, for which various different interventions, including the use of antipsychotics, could be applied and integrated. Further research is needed to assess the applicability of this treatment algorithm in clinical settings.

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