دانلود مقاله ISI انگلیسی شماره 10620
عنوان فارسی مقاله

چه نتایج مهمی برای بیماران با شرایط بلند مدت وجود دارد؟آزمایش های گسسته انتخاب

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
10620 2009 9 صفحه PDF سفارش دهید محاسبه نشده
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عنوان انگلیسی
What Outcomes Are Important to Patients with Long Term Conditions? A Discrete Choice Experiment
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Value in Health, Volume 12, Issue 2, March–April 2009, Pages 331–339

کلمات کلیدی
- آزمایش های گسسته انتخاب - اقتصاد سلامت - کیفیت تعدیل زندگی سال - کیفیت زندگی
پیش نمایش مقاله
پیش نمایش مقاله چه نتایج مهمی برای بیماران با شرایط بلند مدت وجود دارد؟آزمایش های گسسته انتخاب

چکیده انگلیسی

Objective To assess how much patients with long-term conditions value self-efficacy (i.e., confidence in their ability to manage their condition) compared with other health outcomes, including measures of quality of life, and process outcomes including access to General Practitioners. Methods Discrete Choice Experiment (DCE) set in UK community settings. Participants: 367 patients (mean age 57.5) living in the community with a wide range of self-defined long-term conditions. Main outcome measures: the relative value that individuals place on four specific outcomes, namely, self-efficacy, Health Related Quality of Life (HRQoL), access to General Practitioners, and level of isolation. Results Most responders completed their questionnaire in a consistent manner. Most valuations of outcomes were in the expected direction and were statistically significant. A substantial minority of responders exhibited counter-intuitive preferences. The existence of a significant constant in all models raised concerns about model misspecification. Nevertheless, all models showed that participants were willing to trade substantial reductions in their HRQoL for improvements in their self-efficacy. Conclusions The majority of patients with chronic conditions were able to complete the DCE questionnaires. However, the existence of counter-intuitive preferences and evidence of model misspecification require further investigation. These issues are largely overlooked in the health economics literature. Self-efficacy is an important outcome for this group and is not included explicitly in conventional HRQoL measures. This is potentially important where decisions are made on the basis of cost-effectiveness using Quality Adjusted Life Years as the metric. Exclusion of these outcomes may lead to the cost-effectiveness of these interventions being understated.

مقدمه انگلیسی

Recent policy has targeted self-care as a means to improve patient outcomes and reduce costs [1,2]). Self-care has been defined as care taken by individuals toward their own health and well-being [2]. Interventions have been designed that support individuals’ ability to self-care, for example, the Expert Patient Programme (EPP) based on the chronic disease self-management program developed in the United States by Lorig [3,4]. The “EPP” aims to provide self-care support to any individual with a chronic condition in England and is a generic, lay led, group program involving six-weekly sessions. The EPP is designed to enable participants to develop appropriate self-care skills including patient’s “self-efficacy” [5]. The concept of self-efficacy refers to a psychological state which relates to an individual’s confidence that they can achieve some task (such as managing the symptoms of their disorder or engage in regular exercise) [6–8], and is one of the most important concepts in modern psychological approaches to understanding health behavior [9]. Selfefficacy is increasingly accepted as a mediating variable and an outcome of self-management programs but this has become normative without evidence of what patients most value in managing long-term conditions. Arecent trial [5] demonstrated that aUKversion of the chronic disease self-management program was effective at improving selfefficacy, and a cost-effectiveness analysis based on the same clinical trial [10] generated Quality Adjusted Life-Year (QALY) gains for these interventions using the EQ5D instrument. The EQ5D instrument measures Health Related Quality of Life (HRQoL), across five dimensions, namely mobility, ability to self-care, ability to perform usual activities, level of pain/discomfort, and level of anxiety/depression. The cost-effectiveness analysis concluded that the EPP intervention was likely to provide a cost-effective alternative to usual care in people with long-term conditions at commonly used threshold values of a QALY. Thus QALYs, often generated from EQ5D, have a commonly expressed value [11] but they may not incorporate all the outcomes that are of interest. In contrast, while self-efficacy is undoubtedly an outcome of interest (at least for practitioners and researchers), we have no knowledge of whether self-efficacy is “of value” per se, or indeed what that value might be. This leads to problems of interpretation as decision-makers cannot assess the relative merits of self-efficacy compared with HRQoL. In the example above, the EPP was deemed to be likely to be costeffective based solely on the QALY, although there was a large degree of uncertainty around the decision. Valuing self-efficacy (or other relevant outcomes) in terms of QALYs gives decisionmakers additional information and can be incorporated into the cost-effectiveness analysis and could reduce the uncertainty around a decision. Discrete Choice experiments (DCEs) are one method of either expanding the measure of outcome or incorporating factors other than health outcomes [12]. DCEs are based on the premise that the benefits associated with health-care interventions can be expressed in terms of the “attributes or characteristics” of that intervention [13] and the “attributes or characteristics” of the person valuing them [14,15]. Process outcomes may be important in the evaluation of health-care technologies, and DCE enables the relative values of these outcomes to be assessed [12]. For example, speed of access to health care, who provides that health care and where it is provided, are often considered as important aspects of health care that may not be captured by a measure of HRQoL [12].DCEs have been used frequently in the health economics literature to estimate preferences in miscarriage management [16], management of prostate cancer [17], as well as in a variety of other conditions and in numerous settings [18–29]. However, DCEs have not been previously employed to investigate the trade-off between HRQoL, psychological outcome measures such as self-efficacy, and social outcomes such as isolation and/or process outcomes such as General Practitioner (GP) access. One advantage of the DCE methodology is that it enables the individual to simultaneously compare and value a number of different attributes. This may have the added benefit of limiting the “salience” problem identified with standard gamble techniques, where there is discordance between stated preferences and actual choices because of the experiment focusing the individuals’ concentration on one specific attribute [30], although it is acknowledged that responders may still not focus on the true opportunity cost of their choice [31]. This article describes a DCE conducted to examine the relationship between HRQoL and other outcomes which may be of relevance to patients with long-term conditions. In addition, the estimation of rates of substitution between the QALY and selfefficacy enables decision-makers to include these outcomes in their assessment of cost-effectiveness.

نتیجه گیری انگلیسی

Although self-efficacy has been identified as important to patients with chronic conditions who have been exposed to interventions designed to impact on levels of self-efficacy, it is likely that in different patient groups other outcomes would be valued and traded for HRQoL. These “important” outcomes should be identified before commencing the study and appropriate techniques should be used to ascertain the rate of substitution between these outcomes and HRQoL. The lack of concern in the health economics literature surrounding counterintuitive preferences and the possibility of model misspecification is disturbing. While these methodological caveats should not preclude the use of DCEs in health economic evaluation, these issues require further examination and suggest that results of DCEs where these issues could be a factor should be interpreted cautiously.

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