Development and validation of a treatment compliance assessment scale for clients with mental illnesses

Sucheta Mann, J. Joseph, Y. Malik, Rajeshwari Devi
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Abstract

Background: Treatment compliance improves mental health and facilitates the resolution of the underlying illness. An accurate assessment of treatment compliance is necessary for effective and efficient treatment planning and for ensuring that changes in health outcomes can be attributed to the recommended regimen. Aim: This study aimed to develop a treatment compliance assessment scale for clients with mental illnesses and to evaluate its psychometric properties. Methodology: The initial questionnaire was developed through the Delphi expert consultation, pilot study, and semistructured interview. The instrument was applied to 130 clients attending the outpatient services of a tertiary care hospital in North India. Results: A seven-item clinician-rated questionnaire was formed in which exploratory factor analyses yielded two factors, including medication compliance and attitude toward current treatment. The instrument was found to have a good internal consistency (Chronbach's alpha was 0.932), split-half reliability (Guttman's split-half coefficient − 0.838), and test–retest reliability (0.882). The concurrent validity of demonstrated a significant correlation with the 12-item Medication Adherence Rating Scale at P ≤ 0.01. Conclusion: The clinician-rated treatment compliance assessment scale was found to be a valid instrument for assessing treatment compliance among patients with mental illnesses with adequate psychometric properties.
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精神疾病患者治疗依从性评估量表的开发和验证
背景:治疗依从性可以改善心理健康,促进潜在疾病的解决。对治疗依从性的准确评估对于有效和高效的治疗计划以及确保健康结果的变化可归因于推荐的方案是必要的。目的:本研究旨在为精神疾病患者开发一种治疗依从性评估量表,并评估其心理测量特性。方法:通过德尔菲专家咨询、试点研究和半结构访谈编制初步问卷。该仪器被应用于北印度一家三级护理医院的130名门诊患者。结果:形成了一份由临床医生评定的七项问卷,其中探索性因素分析产生了两个因素,包括药物依从性和对当前治疗的态度。该仪器具有良好的内部一致性(Chronbachα为0.932)、分半信度(Guttman分半系数−0.838)和测试-再测试信度(0.882)。的同时有效性与12项药物依从性评定量表呈显著相关,P≤0.01。结论:临床医生评定的治疗依从性评估量表是评估具有足够心理测量特性的精神疾病患者治疗依从性的有效工具。
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发文量
7
审稿时长
31 weeks
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