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A systematic review of how patients value COPD outcomes

Yuan Zhang, Rebecca L. Morgan, Pablo Alonso-Coello, Wojtek Wiercioch, Małgorzata M. Bała, Rafał R. Jaeschke, Krzysztof Styczeń, Hector Pardo-Hernandez, Anna Selva, Housne Ara Begum, Gian Paolo Morgano, Marcin Waligóra, Arnav Agarwal, Matthew Ventresca, Karolina Strzebońska, Mateusz T. Wasylewski, Lídia Blanco-Silvente, Janna-Lina Kerth, Mengxiao Wang, Yuqing Zhang, Saiprasad Narsingam, Yutong Fei, Gordon Guyatt, Holger J. Schünemann
European Respiratory Journal 2018 52: 1800222; DOI: 10.1183/13993003.00222-2018
Yuan Zhang
1Dept of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
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Rebecca L. Morgan
1Dept of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
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Pablo Alonso-Coello
1Dept of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
2Iberoamerican Cochrane Centre, CIBERESP-IIB Sant Pau, Barcelona, Spain
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Wojtek Wiercioch
1Dept of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
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Małgorzata M. Bała
3Dept of Hygiene and Dietetics, Faculty of Medicine, Jagiellonian University Medical College, Krakow, Poland
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Rafał R. Jaeschke
4Section of Affective Disorders, Dept of Psychiatry, Jagiellonian University Medical College, Krakow, Poland
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Krzysztof Styczeń
4Section of Affective Disorders, Dept of Psychiatry, Jagiellonian University Medical College, Krakow, Poland
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Hector Pardo-Hernandez
2Iberoamerican Cochrane Centre, CIBERESP-IIB Sant Pau, Barcelona, Spain
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  • ORCID record for Hector Pardo-Hernandez
Anna Selva
5Clinical Epidemiology and Cancer Screening, Corporació Sanitària Parc Taulí, Sabadell, Spain
6Research Network on Health Services in Chronic Diseases (REDISSEC), Spain
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Housne Ara Begum
1Dept of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
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Gian Paolo Morgano
1Dept of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
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Marcin Waligóra
7REMEDY, Research Ethics in Medicine Study Group, Dept of Philosophy and Bioethics, Jagiellonian University Medical College, Krakow, Poland
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Arnav Agarwal
1Dept of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
8School of Medicine, University of Toronto, Toronto, ON, Canada
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Matthew Ventresca
1Dept of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
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Karolina Strzebońska
7REMEDY, Research Ethics in Medicine Study Group, Dept of Philosophy and Bioethics, Jagiellonian University Medical College, Krakow, Poland
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Mateusz T. Wasylewski
7REMEDY, Research Ethics in Medicine Study Group, Dept of Philosophy and Bioethics, Jagiellonian University Medical College, Krakow, Poland
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Lídia Blanco-Silvente
9TransLab Research Group, Dept of Medical Sciences, University of Girona, Girona, Spain
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Janna-Lina Kerth
10Dept for Medical Didactics and Curricular Development, Medical Faculty RWTH Aachen University, Aachen, Germany
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Mengxiao Wang
1Dept of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
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Yuqing Zhang
1Dept of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
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Saiprasad Narsingam
11Dept of Medicine, Dartmouth Medical School, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA
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Yutong Fei
12Centre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
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Gordon Guyatt
1Dept of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
13Dept of Medicine, McMaster University, Hamilton, ON, Canada
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Holger J. Schünemann
1Dept of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada
13Dept of Medicine, McMaster University, Hamilton, ON, Canada
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Abstract

Our objective was to summarise systematically all research evidence related to how patients value outcomes in chronic obstructive pulmonary disease (COPD).

We conducted a systematic review (systematic review registration number CRD42015015206) by searching PubMed, Embase, PsycInfo and CINAHL, and included reports that assessed the relative importance of outcomes from COPD patients' perspective. Two authors independently determined the eligibility of studies, abstracted the eligible studies and assessed risk of bias. We narratively summarised eligible studies, meta-analysed utilities for individual outcomes and assessed the certainty of evidence using the Grading of Recommendations, Assessment, Development and Evaluations approach.

We included 217 quantitative studies. Investigators most commonly used utility measurements of outcomes (n=136), discrete choice exercises (n=13), probability trade-off (n=4) and forced choice techniques (n=46). Patients rated adverse events as important but on average, less so than symptom relief. Exacerbation and hospitalisation due to exacerbation are the outcomes that COPD patients rate as most important. This systematic review provides a comprehensive registry of related studies.

Abstract

Systematic review of the importance placed by patients on COPD outcomes informs the trade-off between benefits and harms http://ow.ly/l5De30kgD9g

Introduction

Considering patient values and preferences regarding the benefits and harms of a health intervention is essential for clinical evidence-based decision-making [1–4]. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) working group has recently operationalised patient values and preferences as “the relative importance patients place on outcomes” [3, 5]. Information about the relative importance of outcomes is critical to weigh the health benefits and harms of interventions and test strategies [5], including those recommended in clinical practice guidelines. Indeed, numerous studies have addressed how patients value chronic obstructive pulmonary disease (COPD) outcomes but to appropriately inform practice and guidelines, this evidence should be summarised in systematic reviews that allow retrieving and summarising the best evidence from individual studies on health outcomes [2, 6–9]. Considering the disease burden of COPD [10], such a review would inform decision-making for a large patient community globally. We therefore conducted this systematic review to summarise all research evidence that addressed the question, what is the relative importance patients place on COPD-related outcomes [3, 5]?

Methods

Protocol and registration

We conducted this systematic review of the literature in accordance with the Preferred Reporting in Systematic Reviews and Meta-Analyses guidelines [11] and registered the review protocol on PROSPERO (registration number CRD42015015206).

Information sources

We searched Medline (through PubMed), Embase, PsycInfo and CINAHL from inception date to October 15, 2017, using an extensive search strategy developed for retrieving this type of evidence (supplementary material) [12], including reference lists of identified studies.

Study selection

Two authors independently determined the eligibility of studies by reviewing titles and abstracts and, for potentially eligible studies, through review of full-text articles with a standardised and piloted screening form. Reviewers resolved disagreement by discussion or through third-party adjudication. Eligible studies reported patient values and preferences of COPD patients, with no limits on the type of study design, language or treatments. Studies with the following characteristics were eligible for reporting the relative importance of outcomes [4].

1) Patient utility and health state value studies: studies that examined how patients value alternative health states and experiences with treatment. The eligible measurement techniques were: standard gamble, time trade-off (TTO), visual analogue scale (VAS), or mapping results based on either generic (EuroQol-5D (EQ-5D) or SF-36) [13] or specific measurement (i.e. Chronic Respiratory Questionnaire) of health-related quality of life. We expected one major category of eligible studies to be “utility” studies. Utilities represent the strength of an individual's preferences for different outcomes. They are expressed on a scale from 0 indicating dead to 1 indicating perfect health (for some variations of the scale, the upper bound may be 100). The higher the utility is (the closer the estimate is to perfect health), the more value patients will place on the outcome.

2) Direct choice studies: studies that examined patients' choice when they were presented with a description of hypothetical states or during decision making for their own actual health states (i.e. forced choice when presented with a decision aid, probabilistic trade-off techniques, discrete choice, willingness to pay, randomised controlled trials (RCTs) for preferences, etc.).

3) Other quantitative studies on outcome importance: studies that quantitatively examined the patients' views, attitudes or preferences on outcome importance through self-developed questionnaires or instruments that were not utility measurement techniques.

We included only quantitative studies reporting COPD as a comorbidity if they reported COPD relative importance of outcomes information separately. We excluded non-original studies such as clinical practice guidelines, reviews, commentaries, letters or viewpoints. We also excluded case reports, case series and health economic evaluation studies without original utility elicitation. Qualitative studies that explored patients' views, attitudes or preferences related to different treatment options were excluded from this review but included and reported in a subsequent review.

Data collection and certainty of evidence

Two authors independently recorded data: principal author, publication year, participant demographics (sample size, age, sex, etc.), survey techniques or methodologies used, relative importance of outcome results and risk of bias assessments.

Since there is no accepted risk of bias or study quality assessment tool for value and preference studies, we used an approach that we developed, validated and reported in a separate project [14]. The key items to assess the risk of bias include sample selection, response rate (or attrition rate if participants were followed up), choice and administration of the instrument, outcome (or health state) presentation, participants' understanding of the methodology, and data analysis (if applicable). We then used the GRADE approach to rate the certainty of the overall body of evidence for outcome importance [14, 15]. The GRADE approach classifies certainty of evidence as high, moderate, low or very low based on domains of risk of bias, inconsistency, indirectness, imprecision, publication bias and upgrading domains.

Data analysis

A priori, we set the disease severity following the Global Initiative for Chronic Obstructive Lung Disease (GOLD) criteria, indicating the severity of airflow obstruction, as a potential subgroup factor to consider [16]. We used the severity of airflow obstruction categories of mild (forced expiratory volume in 1 s (FEV1) ≥80% predicted), moderate (FEV1 ≥50% to <80% predicted), severe (FEV1 ≥30% to <50% predicted) and very severe (FEV1 <30% predicted) reported by authors to determine subgroups. Information on the relative importance of outcomes exists in a variety of formats, including the utility of outcomes or disease stages, proportion of choice, rankings or scores on a scale. For the sake of simplicity, we report all estimates using the descriptive term “utility” to indicate the health status values elicited from standard gamble, TTO, VAS and results from indirect utility measurements [17]. We conducted meta-analyses to synthesise the utility results for same outcomes using a random-effects inverse variance method in Stata 11.0 (StatCorp, College Station, TX, USA) [18]. For consistency, we presented the results on a 0–1 scale even if they had been elicited on a 0–100 scale. For nonutility results regarding patient values and preferences, we narratively summarised the results.

Results

Study selection and study characteristics

Of 54 598 records, after excluding duplicates, 41 781 titles and abstracts remained; 3154 articles proved potentially eligible and underwent full-text screening. Of these, 217 quantitative studies reporting patient values and preferences on COPD outcomes proved eligible (figure 1 and references of all included studies in the supplementary material).

FIGURE 1
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FIGURE 1

Flow diagram for systematic review on chronic obstructive pulmonary disease patients’ values and preferences.

Of the 217 eligible studies, 136 reported utility or health state values for COPD outcomes, of which: 69 utilised the feeling thermometer or VAS, including the EQ-5D VAS; eight the standard gamble; and six the TTO. For indirect measurements, 82 studies reported EQ-5D utilities, 14 SF-6D utilities, seven Health Utility Index (HUI), seven 15D and three the Quality of Well-Being utilities. Of 65 direct choice studies, 46 used forced choice techniques, 13 discrete choice exercise/conjoint analysis or willingness to pay, four probability trade-off, and three ranking methods (supplementary table 1). Regarding study design, 127 were cross-sectional studies, 21 cohort studies, 11 repeated surveys, 51 RCTs and seven quasirandomised trials.

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TABLE 1

Summary of findings

The outcomes studied typically included exacerbation or hospitalisation due to exacerbation, adverse events, symptom relief, and different severities of COPD. Table 1 summarised this type of evidence (also see supplementary table 1). Despite the large number of eligible studies, few reported the relative importance of outcome information on the same outcomes. Meta-analyses were restricted to studies focusing on exacerbation, and different COPD severities measured with VAS and EQ-5D utility. We found no compelling evidence of publication bias.

Supplementary table 2 summarises the risk of bias assessment. Studies suffered from serious risk of bias related to limitations in the validity and reliability of the measurement tools (68 studies directly asking participants to choose among a set of options) and use of a convenience sampling strategy or a volunteer sample (14 studies); or response rates <50% (32 studies). For other risk of bias considerations, we classified most studies as low risk of bias (supplementary table 2).

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TABLE 2

Utility of exacerbation or hospitalisation due to exacerbation

Importance of exacerbation

The measurements used to elicit the importance of exacerbation or hospitalisation due to exacerbation include VAS (including the EQ-5D VAS) (10 studies [19–27, 47]). TTO (one study [27]) and the EQ-5D utility (seven studies [21–24, 39, 40, 43]). We observed variations in the description of “exacerbation”. Three studies utilised clinical diagnoses, without a specific definition of an exacerbation [24, 43, 47]. All remaining studies defined exacerbation as worsened symptoms [19–27, 39, 40, 43, 47, 48]. Of these, three studies explicitly reported a category for exacerbation, with one using the definition of the British Thoracic Society [21] and the two others the American Thoracic Society/European Respiratory Society definition [23, 40]. The other reports varied in defining “exacerbation,” with three reports focusing on exacerbations needing hospitalisation [19, 20, 26] and another one specifying the length of symptoms [22]. The estimates varied from 0.259 to 0.580 on the VAS, and 0.430 to 0.740 with the EQ-5D utility. We conducted meta-analysis using the inverse variance method to pool the estimates based on VAS and EQ-5D, yielding utility of exacerbation of 0.462 (95% CI 0.453–0.471, I2=98.2%, p<0.001 for the test of heterogeneity) on the VAS and 0.519 (95% CI 0.502–0.537, I2=95.5%, p<0.001 for the test of heterogeneity) with the EQ-5D utility. Of the eight studies included in the meta-analysis, six recruited patient populations with a mean age between 66 and 69 years [19–21, 24–26]; of those, four were from the UK [21, 24–26], two from other European countries [19, 20], one from the USA [22], and another was a multicentre study conducted in countries including the USA, UK and other countries [23]. The study populations were similar across the studies regarding age and setting. We could not explain the large degree of inconsistency and, thus, rated down the certainty of evidence as moderate (table 1). For studies that used the EQ-5D utility measurement, we further rated down for indirectness given the indirect measurement tool used (i.e. the patients participating did not themselves place a value on exacerbations, but merely reported the consequences on EQ-5D items). One study used a more granular approach to addressing the importance of exacerbations: Rutten van Molken et al. [27] reported the values of different severities of exacerbations. The authors described serious and nonserious exacerbations according to the severity of increase in respiratory and nonrespiratory symptoms, impact on daily activities, and response to treatment. To summarise, for a nonserious exacerbation, patients will experience mild-to-moderate worsening of breathlessness and cough, and the symptoms interfere with daily activities; while patients with a serious exacerbation will experience severe-to-very severe worsening of breathlessness and cough, and the symptoms will completely disrupt daily activities. Based on VAS and TTO measurements, respectively, the disutility (defined as a reduction in utility) for one nonserious exacerbation was 0.037 (VAS) and 0.010 (TTO); for two nonserious exacerbations, 0.068 and 0.021; for one serious exacerbation, 0.090 and 0.042; for one serious exacerbation and one nonserious, 0.130 and 0.088 (table 2). The certainty of this evidence is high. Other studies suggested patients have lower utility as the exacerbations became more frequent or more severe [40, 43].

Importance of dyspnoea

Few studies explored the importance that patients place on dyspnoea. Three studies reported utilities related to dyspnoea. Kim et al. [38] reported the utilities measured by VAS by levels of breathlessness: 0.751, 0.656 and 0.526 for level 1 (short of breath during strenuous activities), level 2 (stopping to catch breath after a few minutes walking) and level 3 (breathless when dressing or washing) breathlessness, respectively. The estimates were based on a small sample, so we downgraded the certainty for the estimates by one level for level 2 and two levels for level 3 breathlessness due to concerns about imprecision. Two other reports corroborated that the more severe the dyspnoea symptom, the lower utility patients place on their health, though the specific levels of breathlessness were described differently (table 3) [43, 49]. Other structured surveys, without reporting utility values, also suggested dyspnoea as burdensome and a very important consideration in COPD-related decision-making [31, 50–58].

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TABLE 3

Importance on breathlessness, shortness of breath, or dyspnoea

Adverse events

Table 4 summarises the results related to the importance of adverse events. One of the two included discrete-choice studies compared the “possibility of adverse effects” with “the extent to which treatment seems to relieve symptoms”, “the extent to which the doctor gives sufficient time to listen to the patient”, “costs of treatment”, “the extent to which the patient sees the same doctor each time”, and “the extent to which the doctor treats the patient as an entire person” [29]. The extent of symptom relief was deemed to be more important than adverse effects but the possibility of adverse effects was more important than other outcomes. Another discrete choice study suggested symptom relief to be the most important outcome, while the possibility of adverse events was considered more important than the timing and use of (rescue) medicine [30]. The latter study was an online voluntary study in 515 participants, which we rated as having serious risk of bias due to selection bias and limited validity of the instrument. None of the studies explicitly described the outcome of “adverse events.” The overall certainty of evidence about the importance of adverse events, based on these two discrete choice studies, is moderate due to serious risk of bias.

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TABLE 4

Importance of adverse events

Symptom relief

In general, patients considered symptom relief important. In one survey, 46.6% of patients considered relief of symptoms (i.e., chest pain due to coughing, shortness of breath, nausea, etc.) as extremely important (ranking second after “not to be kept alive on life support when there is little hope for a meaningful recovery”) [61]. For the extent of symptom relief, two discrete-choice studies suggested the extent of symptom relief as more important than adverse effects, the doctor giving sufficient time to listen to the patient, costs of treatment, seeing the same doctor each time, being treated as an entire person, onset time of medication, ease of medication use and use of rescue medication [29, 30]. A large proportion of the study participants were recruited through an online survey, and the eligibility of the participants and the accuracy of their answers were in question. For these reasons, we classified this study at high risk of bias and downgraded the certainty of evidence as moderate (table 1). Three other forced-choice studies corroborated this result [31–33]. For example, in a survey addressing expectation of treatment, 82.3% of the respondents chose greater symptomatic relief as the most important outcome [33]. Because the instruments in these surveys lacked evidence of validity, we rated down the certainty of evidence for risk of bias (moderate certainty evidence).

Utility of COPD

Most studies addressing the utility of the experience of COPD itself were based on EQ-5D, HUI and 15D. Table 5 summarises the utilities based on various instruments across the airflow obstruction levels. Based on the EQ-5D only, we observed a gradient of disutility across GOLD stages: pooled estimates for EQ-5D measurements of mild COPD 0.873 (95% CI 0.863–0.883, I2=91.3%, p<0.001 for heterogeneity) [28, 35–37, 42, 43, 45], moderate 0.821 (95% CI 0.815–0.826, I2=97.8%, p<0.001 for heterogeneity) [28, 35–37, 41–45]; severe 0.741 (95% CI 0.734–0.749, I2=94.5%, p<0.001 for heterogeneity) [28, 35–37, 39–42, 44] and very severe 0.681 (95% CI 0.667–0.694, I2=80.2%, p<0.001 for heterogeneity) [28, 35–37, 39, 40–42, 44], respectively (figure 2). We rated down the certainty of evidence for these utilities due to unexplained inconsistency and for indirectness of the measurement tool (EQ-5D) (low-certainty evidence); we also observed a similar trend with VAS results (table 1).

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TABLE 5

Utility of different chronic obstructive pulmonary disease (COPD) severities

FIGURE 2
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FIGURE 2

Forest plots for EuroQol-5D (EQ-5D) utility of chronic obstructive pulmonary disease patients with forced expiratory volume in 1 s a) ≥80%, b) <80–≥50%, c) <50–≥30% and d) <30% predicted.

Other results

We also identified studies reporting importance on other outcomes (supplementary table 3); for example, intubation and speed of symptom relief.

Discussion

We have conducted the most comprehensive systematic review to date of how COPD patients value outcomes. The identified studies were highly variable in their designs, measurement instruments used and outcomes addressed. Patients rated exacerbations of COPD or hospitalisation due to exacerbations as very important. Studies, primarily using the EQ-5D, consistently reported that the utility associated with living with COPD decreases as the disease progresses. Patients considered symptom relief important and more important than adverse events from treatment.

Several aspects distinguish our work from previous published literature reviews [63–67]. Our work yielded more studies because of the broad definition focusing on the importance of outcomes, and including all types of relevant studies and measurement tools. For example, our work is more comprehensive than the work Moayeri et al. [63] who evaluated EQ-5D utilities of COPD stages, though the results of our pooled EQ-5D utilities proved similar. Two other reviews included only multiattribute utility results [63, 64]. Brooker et al. [67] identified 10 studies on patient preferences for mechanical ventilation in COPD, most of them cross-sectional surveys with forced choice questions. A second aspect in which our work differs is the critical assessment, both at the individual-study level for risk of bias, and at the body of evidence level with the GRADE approach and the associated summary of findings table [68].

Our study has some limitations. First, because of the paucity of evidence based on standard gamble and TTO, we were only able to conduct meta-analysis across severity levels of EQ-5D utility and VAS measurements. For the same reason, we were unable to quantitatively explore the study population characteristics as potential sources of inconsistency through approaches such as metaregression. Second, we identified a relatively small number of discrete choice and probability trade-off studies. These studies could provide information on the threshold for a change in decision [69] and have the merit of allowing customisation of the methodology according to the study objectives. The few probability trade-off and discrete choice exercise studies reported only a limited range of attributes and levels of attributes [70–72]. Lastly, given the lack of empirical knowledge in what manner and to what extent publication bias may affect our systematic review results, our assessment of publication bias is limited.

Given the breadth of findings, this systematic review has implications for healthcare providers, researchers including systematic review authors and guideline developers. This systematic review summarises current evidence to inform guideline developers about how important the benefits and harms of COPD treatment strategies are from the patients' perspective. The results will inform clinicians who make decisions with COPD patients. This systematic review provides empirical evidence to support using the relative importance of outcomes to inform values and preferences, and the methods can be used by systematic review authors who are interested in other disease topics. The utilities summarised serve as the parameter inputs for cost analyses. When guideline developers determine the balance between benefits and harms, they can take into consideration both the probability and the importance of benefits (e.g. symptom relief) and harms (e.g. adverse events) from this review. Additionally, the results of this review also help researchers identify research gaps for designing new studies.

Research gaps exist when there is no evidence, or the certainty of evidence is low or very low. For example, although there is evidence about the importance of adverse events, guideline developers need to know the exact types and probabilities of adverse events considered by patients. Researchers can use standard gamble, discrete choice and probability trade-off techniques to address the levels of adverse events, with the severities or probabilities directly relevant to the research questions [29]. Additionally, for better understanding and application of the findings, researchers also need to further explore the socioeconomic, cultural and disease-specific characteristics that influence patient values on the COPD outcomes.

There are still unanswered challenges related to the optimal strategy to elicit the outcome importance evidence. For considering the risk of bias, one concern is the merits of measurement tools involving a valuation of hypothetical scenarios in relation to measurements of an actual outcome that participants experience. If the participants value a health state specified by the investigators, barring only different interpretations or limited understanding, they value the same outcome; but if, for example, participants are asked to evaluate the outcome “shortness of breath” they are experiencing, or having experienced in the past, the degree of shortness may vary a lot across participants. Further studies are also necessary to validate the search strategy for these types of studies. Our strategy, which is sensitive but not specific, led to a large number of hits [12], replication of which would place a substantial burden for systematic review authors and guideline panels (as it did for us).

Conclusion

Our systematic review showed that patients value the outcome of exacerbation or hospitalisation due to exacerbation as very important. We observed large variability in the utility associated with COPD severity across studies. We identified a gradient of disutility as the disease progresses, from both the direct utility instrument VAS and the indirect utility instrument EQ-5D. Quantitative approaches, including direct and indirect utility measurement of outcomes, discrete choice exercise, probability trade-off and forced choice, represent the predominant measurement instruments investigators have used to address the importance patients place on outcomes.

Although further studies are necessary to explore the unsolved methodological questions, through this systematic review process, we demonstrated the usefulness of systematic reviews as a potential strategy for summarising evidence in this field and informing decision makers, both in the context of health technology assessments and guidelines.

Supplementary material

Supplementary Material

Please note: supplementary material is not edited by the Editorial Office, and is uploaded as it has been supplied by the author.

Search strategy ERJ-00222-2018_Search_Strategy

References of all included studies ERJ-00222-2018_References_of_Included_Studies

TABLE S1 Study characteristics ERJ-00222-2018_tableS1

TABLE S2 Summary of risk of bias ERJ-00222-2018_tableS2

TABLE S3 Quantitative results ERJ-00222-2018_tableS3

Acknowledgements

We are grateful to Amiram Gafni (McMaster University) for the comments on the manuscript, and Sean Doran (University of Missouri, Kansas City, MO, USA) for title and abstract screening.

Footnotes

  • This article has supplementary material available from erj.ersjournals.com

  • Author Contributions: Y. Zhang and H.J. Schünemann designed the study; Y. Zhang, R.L. Morgan, P. Alonso-Coello, A. Selva, H. Ara Begum, G.P. Morgano, W. Wiercioch, M. Ventresca, M.M. Bała, R.R. Jaeschke, M.T. Wasylewski, K. Styczeń, H. Pardo-Hernandez, A. Agarwal, J-L. Kerth, L. Blanco-Silvente, M. Wang, Y. Zhang, S. Narsingam and Y. Fei screened the literature and abstracted the data; Y. Zhang, R.L. Morgan, P. Alonso-Coello, G. Guyatt and H.J. Schünemann drafted the manuscript; all authors read and approved the final manuscript; and H.J. Schünemann conceived of and funded the study.

  • Conflict of interest: H.J. Schünemann reports that he has no financial conflict of interest. He is Co-chair of the GRADE working group.

  • Support statement: This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors but was supported by the MacGRADE center at McMaster University. This project does not have any sponsorship from industrial or governmental sources in its design, collection of data, analysis or interpretation of data, writing of the report, or decision to submit for publication. Funding information for this article has been deposited with the Crossref Funder Registry.

  • Received January 21, 2018.
  • Accepted May 21, 2018.
  • The content of this work is copyright of the authors or their employers. Design and branding are copyright ©ERS 2018.

References

  1. ↵
    1. Sackett DL,
    2. Rosenberg WM,
    3. Gray JA, et al.
    Evidence based medicine: what it is and what it isn't. BMJ 1996; 312: 71–72.
    OpenUrlFREE Full Text
  2. ↵
    1. MacLean S,
    2. Mulla S,
    3. Akl EA, et al.
    Patient values and preferences in decision making for antithrombotic therapy: a systematic review: Antithrombotic Therapy and Prevention of Thrombosis, 9th ed: American College of Chest Physicians Evidence-Based Clinical Practice Guidelines. Chest 2012; 141: Suppl., e1S–23S.
    OpenUrlCrossRefPubMedWeb of Science
  3. ↵
    1. Schunemann HJ,
    2. Wiercioch W,
    3. Etxeandia I, et al.
    Guidelines 2.0: systematic development of a comprehensive checklist for a successful guideline enterprise. CMAJ 2014; 186: E123–E142.
    OpenUrlAbstract/FREE Full Text
  4. ↵
    1. Zhang Y,
    2. Coello PA,
    3. Brozek J, et al.
    Using patient values and preferences to inform the importance of health outcomes in practice guideline development following the GRADE approach. Health Qual Life Outcomes 2017; 15: 52.
    OpenUrl
  5. ↵
    1. Alonso-Coello P,
    2. Schünemann HJ,
    3. Moberg J, et al.
    GRADE Evidence to Decision (EtD) frameworks: a systematic and transparent approach to making well informed healthcare choices. 1: Introduction. BMJ 2016; 353: i2016.
    OpenUrlFREE Full Text
  6. ↵
    1. Bremner KE,
    2. Chong CA,
    3. Tomlinson G, et al.
    A review and meta-analysis of prostate cancer utilities. Med Decis Making 2007; 27: 288–298.
    OpenUrlCrossRefPubMedWeb of Science
    1. Pickard AS,
    2. Wilke CT,
    3. Lin H-W, et al.
    Health utilities using the EQ-5D in studies of cancer. Pharmacoeconomics 2007; 25: 365–384.
    OpenUrlCrossRefPubMed
    1. Sepucha K,
    2. Ozanne EM
    . How to define and measure concordance between patients’ preferences and medical treatments: a systematic review of approaches and recommendations for standardization. Patient Educ Couns 2010; 78: 12–23.
    OpenUrlCrossRefPubMed
  7. ↵
    1. Joy SM,
    2. Little E,
    3. Maruthur NM, et al.
    Patient preferences for the treatment of type 2 diabetes: a scoping review. PharmacoEconomics 2013; 31: 877–892.
    OpenUrlCrossRefPubMed
  8. ↵
    1. Mannino DM,
    2. Buist AS
    . Global burden of COPD: risk factors, prevalence, and future trends. Lancet 2007; 370: 765–773.
    OpenUrlCrossRefPubMedWeb of Science
  9. ↵
    1. Moher D,
    2. Shamseer L,
    3. Clarke M, et al.
    Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev 2015; 4: 1.
    OpenUrlCrossRefPubMed
  10. ↵
    1. Selva A,
    2. Sola I,
    3. Zhang Y, et al.
    Development and use of a content search strategy for retrieving studies on patients’ views and preferences. Health Qual Life Outcomes 2017; 15: 126.
    OpenUrl
  11. ↵
    1. Gafni A,
    2. Birch S
    . Preferences for outcomes in economic evaluation: an economic approach to addressing economic problems. Soc Sci Med 1995; 40(6): 767–776.
    OpenUrlCrossRefPubMedWeb of Science
  12. ↵
    1. Zhang Y,
    2. Alonso-Coello P,
    3. Guyatt GH, et al.
    GRADE Guidelines: 19. Assessing the certainty of evidence in the importance of outcomes or values and preferences - risk of bias and indirectness. J Clin Epidemiol 2018; in press [https://doi.org/10.1016/j.jclinepi.2018.01.013].
  13. ↵
    1. Zhang Y,
    2. Alonso-Coello P,
    3. Guyatt GH, et al.
    GRADE Guidelines: 20. Assessing the certainty of evidence in the importance of outcomes or values and preferences - inconsistency, imprecision, and other domains. J Clin Epidemiol 2018; in press [https://doi.org/10.1016/j.jclinepi.2018.05.011].
  14. ↵
    Global Initiative for Chronic Obstructive Lung Disease. Global Strategy for the Diagnosis, Management, and Prevention of Chronic Obstructive Pulmonary Disease. Available from: www.goldcopd.org/
  15. ↵
    1. Birch S,
    2. Ismail AI
    . Patient preferences and the measurement of utilities in the evaluation of dental technologies. J Dent Res 2002; 81: 446–450.
    OpenUrlCrossRefPubMedWeb of Science
  16. ↵
    1. Peasgood T,
    2. Brazier J
    . Is meta-analysis for utility values appropriate given the potential impact different elicitation methods have on values? Pharmacoeconomics 2015; 33: 1101–1105.
    OpenUrl
  17. ↵
    1. Alcazar B,
    2. Garcia-Polo C,
    3. Herrejon A, et al.
    Factores asociados a la hospitalización por exacerbación de la enfermedad pulmonar obstructiva crónica [Factors associated with hospital admission for exacerbation of chronic obstructive pulmonary disease]. Arch Bronconeumol 2012; 48: 70–76.
    OpenUrlPubMed
  18. ↵
    1. Antoniu SA,
    2. Puiu A,
    3. Zaharia B, et al.
    Health status during hospitalisations for chronic obstructive pulmonary disease exacerbations: the validity of the Clinical COPD Questionnaire. Expert Rev Pharmacoeconomics Outcomes Res 2014; 14: 283–287.
    OpenUrl
  19. ↵
    1. Cross J,
    2. Elender F,
    3. Barton G, et al.
    A randomised controlled equivalence trial to determine the effectiveness and cost-utility of manual chest physiotherapy techniques in the management of exacerbations of chronic obstructive pulmonary disease (MATREX). Health Technol Assess 2010; 14: 1–147.
    OpenUrlCrossRefPubMed
  20. ↵
    1. Goossens LM,
    2. Nivens MC,
    3. Sachs P, et al.
    Is the EQ-5D responsive to recovery from a moderate COPD exacerbation? Respir Med 2011; 105: 1195–1202.
    OpenUrlPubMed
  21. ↵
    1. Miravitlles M,
    2. Izquierdo I,
    3. Herrejon A, et al.
    COPD severity score as a predictor of failure in exacerbations of COPD. The ESFERA study. Respir Med 2011; 105: 740–747.
    OpenUrlCrossRefPubMed
  22. ↵
    1. O'Reilly JF,
    2. Williams AE,
    3. Rice L
    . Health status impairment and costs associated with COPD exacerbation managed in hospital. Int J Clin Pract 2007; 61: 1112–1120.
    OpenUrlCrossRefPubMedWeb of Science
    1. Seymour JM,
    2. Moore L,
    3. Jolley CJ, et al.
    Outpatient pulmonary rehabilitation following acute exacerbations of COPD. Thorax 2010; 65: 423–428.
    OpenUrlAbstract/FREE Full Text
  23. ↵
    1. Wildman MJ,
    2. Sanderson CF,
    3. Groves J, et al.
    Survival and quality of life for patients with COPD or asthma admitted to intensive care in a UK multicentre cohort: the COPD and Asthma Outcome Study (CAOS). Thorax 2009; 64: 128–132.
    OpenUrlAbstract/FREE Full Text
  24. ↵
    1. Rutten-van Molken MP,
    2. Hoogendoorn M,
    3. Lamers LM
    . Holistic preferences for 1-year health profiles describing fluctuations in health: the case of chronic obstructive pulmonary disease. Pharmacoeconomics 2009; 27: 465–477.
    OpenUrlPubMed
  25. ↵
    1. Kim SH,
    2. Oh YM,
    3. Jo MW
    . Health-related quality of life in chronic obstructive pulmonary disease patients in Korea. Health Quality Life Outcomes 2014; 12: 57.
    OpenUrl
  26. ↵
    1. Bulcun E,
    2. Ekici M,
    3. Ekici A
    . Assessment of patients’ preferences regarding the characteristics associated with the treatment of chronic obstructive pulmonary disease. Int J Chron Obstruct Pulm Dis 2014; 9: 363–368.
    OpenUrl
  27. ↵
    1. Kawata AK,
    2. Kleinman L,
    3. Harding G, et al.
    Evaluation of patient preference and willingness to pay for attributes of maintenance medication for chronic obstructive pulmonary disease (COPD). Patient 2014; 7: 413–426.
    OpenUrl
  28. ↵
    1. Rocker GM,
    2. Simpson AC,
    3. Horton R, et al.
    Opioid therapy for refractory dyspnea in patients with advanced chronic obstructive pulmonary disease: patients’ experiences and outcomes. CMAJ Open 2013; 1: E27–E36.
    OpenUrl
    1. Claessens MT,
    2. Lynn J,
    3. Zhong Z, et al.
    Dying with lung cancer or chronic obstructive pulmonary disease: insights from SUPPORT. Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatments. J Am Geriatr Soc 2000; 48: Suppl., S146–S153.
    OpenUrlCrossRefPubMedWeb of Science
  29. ↵
    1. Kuyucu T,
    2. Guclu SZ,
    3. Saylan B, et al.
    A cross-sectional observational study to investigate daily symptom variability, effects of symptom on morning activities and therapeutic expectations of patients and physicians in COPD-SUNRISE study. Tuberk Toraks 2011; 59: 328–339.
    OpenUrlPubMed
    1. Boros PW,
    2. Lubinski W
    . Health state and the quality of life in patients with chronic obstructive pulmonary disease in Poland: a study using the EuroQoL-5D questionnaire. Pol Arch Med Wewn 2012; 122: 73–81.
    OpenUrlPubMed
  30. ↵
    1. Lin FJ,
    2. Pickard AS,
    3. Krishnan JA, et al.
    Measuring health-related quality of life in chronic obstructive pulmonary disease: properties of the EQ-5D-5L and PROMIS-43 short form. BMC Med Res Methodol 2014; 14: 78.
    OpenUrlCrossRefPubMed
    1. Pickard AS,
    2. Yang Y,
    3. Lee TA
    . Comparison of health-related quality of life measures in chronic obstructive pulmonary disease. Health Qual Life Outcomes 2011; 9: 26.
    OpenUrlCrossRefPubMed
  31. ↵
    1. Stahl E,
    2. Lindberg A,
    3. Jansson SA, et al.
    Health-related quality of life is related to COPD disease severity. Health Quality Life Outcomes 2005; 3: 56.
    OpenUrl
  32. ↵
    1. Chen J,
    2. Wong CK,
    3. McGhee SM, et al.
    A comparison between the EQ-5D and the SF-6D in patients with chronic obstructive pulmonary disease (COPD). PLoS ONE 2014; 9: e112389.
    OpenUrlCrossRefPubMed
  33. ↵
    1. Menn P,
    2. Weber N,
    3. Holle R
    . Health-related quality of life in patients with severe COPD hospitalized for exacerbations – comparing EQ-5D, SF-12 and SGRQ. Health Quality life Outcomes 2010; 8: 39.
    OpenUrl
  34. ↵
    1. Solem CT,
    2. Sun SX,
    3. Sudharshan L, et al.
    Exacerbation-related impairment of quality of life and work productivity in severe and very severe chronic obstructive pulmonary disease. Int J Chron Obstruct Pulm Dis 2013; 8: 641–652.
    OpenUrl
  35. ↵
    1. Starkie HJ,
    2. Briggs AH,
    3. Chambers MG, et al.
    Predicting EQ-5D values using the SGRQ. Value Health 2011; 14: 354–360.
    OpenUrlCrossRefPubMed
  36. ↵
    1. Szende A,
    2. Leidy NK,
    3. Stahl E, et al.
    Estimating health utilities in patients with asthma and COPD: evidence on the performance of EQ-5D and SF-6D. Qual Life Res 2009; 18: 267–272.
    OpenUrlCrossRefPubMed
  37. ↵
    1. Punekar YS,
    2. Rodriguez-Roisin R,
    3. Sculpher M, et al.
    Implications of chronic obstructive pulmonary disease (COPD) on patients’ health status: a western view. Respir Med 2007; 101: 661–669.
    OpenUrlPubMed
  38. ↵
    1. Rutten-van Molken MP,
    2. Oostenbrink JB,
    3. Tashkin DP, et al.
    Does quality of life of COPD patients as measured by the generic EuroQol five-dimension questionnaire differentiate between COPD severity stages? Chest 2006; 130: 1117–1128.
    OpenUrlCrossRefPubMedWeb of Science
  39. ↵
    1. Hong JY,
    2. Kim SY,
    3. Chung KS, et al.
    Factors associated with the quality of life of Korean COPD patients as measured by the EQ-5D. Qual Life Res 2015; 24: 2549–2558.
    OpenUrl
    1. Rodriguez Gonzalez-Moro JM,
    2. de Lucas Ramos P,
    3. Izquierdo Alonso JL, et al.
    Impact of COPD severity on physical disability and daily living activities: EDIP-EPOC I and EDIP-EPOC II studies. Int J Clin Pract 2009; 63: 742–750.
    OpenUrlCrossRefPubMed
  40. ↵
    1. Bourbeau J,
    2. Ford G,
    3. Zackon H, et al.
    Impact on patients’ health status following early identification of a COPD exacerbation. Eur Respir J 2007; 30: 907–913.
    OpenUrlAbstract/FREE Full Text
  41. ↵
    1. Torrance G,
    2. Walker V,
    3. Grossman R, et al.
    Economic evaluation of ciprofloxacin compared with usual antibacterial care for the treatment of acute exacerbations of chronic bronchitis in patients followed for 1 year. Pharmacoeconomics 1999; 16: 499–520.
    OpenUrlCrossRefPubMedWeb of Science
  42. ↵
    1. Gruenberger JB,
    2. Vietri J,
    3. Keininger DL, et al.
    Greater dyspnea is associated with lower health-related quality of life among European patients with COPD. Int J Chron Obstruct Pulm Dis 2017; 12: 937–944.
    OpenUrl
  43. ↵
    1. Braido F,
    2. Baiardini I,
    3. Molinengo G, et al.
    Choose your outcomes: From the mean to the personalized assessment of outcomes in COPD. An exploratory pragmatic survey. Eur J Intern Med 2016; 34: 85–88.
    OpenUrl
    1. Downey L,
    2. Engelberg RA,
    3. Curtis JR, et al.
    Shared priorities for the end-of-life period. J Pain Symptom Manage 2009; 37: 175–188.
    OpenUrlCrossRefPubMedWeb of Science
    1. Haughney J,
    2. Partridge MR,
    3. Vogelmeier C, et al.
    Exacerbations of COPD: quantifying the patient's perspective using discrete choice modellling. Eur Respir J 2005; 26: 623–629.
    OpenUrlAbstract/FREE Full Text
    1. Hernandez P,
    2. Balter MS,
    3. Bourbeau J, et al.
    Canadian practice assessment in chronic obstructive pulmonary disease: respiratory specialist physician perception versus patient reality. Can Respir J 2013; 20: 97–105.
    OpenUrlPubMed
    1. Miravitlles M,
    2. Anzueto A,
    3. Legnani D, et al.
    Patient's perception of exacerbations of COPD – the PERCEIVE study. Respir Med 2007; 101: 453–460.
    OpenUrlCrossRefPubMedWeb of Science
    1. Pisa G,
    2. Freytag S,
    3. Schandry R
    . Chronic obstructive pulmonary disease (COPD) patients’ disease-related preferences : a study using conjoint analysis. Patient 2013; 6: 93–101.
    OpenUrlCrossRefPubMed
    1. Polatli M,
    2. Bilgin C,
    3. Saylan B, et al.
    A cross sectional observational study on the influence of chronic obstructive pulmonary disease on activities of daily living: the COPD-Life study. Tuberk Toraks 2012; 60: 1–12.
    OpenUrlPubMed
    1. Reinke LF,
    2. Uman J,
    3. Udris EM, et al.
    Preferences for death and dying among veterans with chronic obstructive pulmonary disease. Am J Hosp Palliat Care 2013; 30: 768–772.
    OpenUrlCrossRefPubMed
  44. ↵
    1. Wilson KG,
    2. Aaron SD,
    3. Vandemheen KL, et al.
    Evaluation of a decision aid for making choices about intubation and mechanical ventilation in chronic obstructive pulmonary disease. Patient Educ Counsel 2005; 57: 88–95.
    OpenUrlCrossRefPubMedWeb of Science
    1. Partridge MR,
    2. Dal Negro RW,
    3. Olivieri D
    . Understanding patients with asthma and COPD: insights from a European study. Prim Care Respir J 2011; 20: 315–323.
    OpenUrlCrossRefPubMed
    1. Sharafkhaneh A,
    2. Wolf RA,
    3. Goodnight S, et al.
    Perceptions and attitudes toward the use of nebulized therapy for COPD: patient and caregiver perspectives. COPD 2013; 10: 482–492.
    OpenUrl
  45. ↵
    1. Rocker GM,
    2. Dodek PM,
    3. Heyland DK
    . Toward optimal end-of-life care for patients with advanced chronic obstructive pulmonary disease: insights from a multicentre study. Can Respir J 2008; 15: 249–254.
    OpenUrlPubMedWeb of Science
    1. Scharf SM,
    2. Maimon N,
    3. Simon-Tuval T, et al.
    Sleep quality predicts quality of life in chronic obstructive pulmonary disease. Int J Chron Obstruct Pulm Dis 2011; 6: 1–12.
    OpenUrl
  46. ↵
    1. Moayeri F,
    2. Hsueh YS,
    3. Clarke P, et al.
    Health state utility value in chronic obstructive pulmonary disease (COPD); the challenge of heterogeneity: a systematic review and meta-analysis. COPD 2016; 13: 380–398.
    OpenUrl
  47. ↵
    1. Petrillo J,
    2. van Nooten F,
    3. Jones P, et al.
    Utility estimation in chronic obstructive pulmonary disease: a preference for change? Pharmacoeconomics 2011; 29: 917–932.
    OpenUrlCrossRefPubMed
    1. Pickard AS,
    2. Wilke C,
    3. Jung E, et al.
    Use of a preference-based measure of health (EQ-5D) in COPD and asthma. Respir Med 2008; 102: 519–536.
    OpenUrlCrossRefPubMed
    1. Bereza BG,
    2. Troelsgaard Nielsen A,
    3. Valgardsson S, et al.
    Patient preferences in severe COPD and asthma: a comprehensive literature review. Int J Chron Obstruct Pulm Dis 2015; 10: 739–744.
    OpenUrl
  48. ↵
    1. Brooker AS,
    2. Carcone S,
    3. Witteman W, et al.
    Quantitative patient preference evidence for health technology assessment: a case study. Int J Technol Assess Health Care 2013; 29: 290–300.
    OpenUrl
  49. ↵
    1. Balshem H,
    2. Helfand M,
    3. Schunemann HJ, et al.
    GRADE guidelines: 3. Rating the quality of evidence. J Clin Epidemiol 2011; 64: 401–406.
    OpenUrlCrossRefPubMedWeb of Science
  50. ↵
    1. Janssen DJ,
    2. Spruit MA,
    3. Schols JM, et al.
    A call for high-quality advance care planning in outpatients with severe COPD or chronic heart failure. Chest 2011; 139: 1081–1088.
    OpenUrlCrossRefPubMedWeb of Science
  51. ↵
    1. Ryan M
    . Discrete choice experiments in health care. BMJ 2004; 328: 360–361.
    OpenUrlFREE Full Text
    1. Ryan M,
    2. Farrar S
    . Using conjoint analysis to elicit preferences for health care. BMJ 2000; 320: 1530–1533.
    OpenUrlFREE Full Text
  52. ↵
    1. Sculpher M,
    2. Bryan S,
    3. Fry P, et al.
    Patients’ preferences for the management of non-metastatic prostate cancer: discrete choice experiment. BMJ 2004; 328: 382.
    OpenUrlAbstract/FREE Full Text
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A systematic review of how patients value COPD outcomes
Yuan Zhang, Rebecca L. Morgan, Pablo Alonso-Coello, Wojtek Wiercioch, Małgorzata M. Bała, Rafał R. Jaeschke, Krzysztof Styczeń, Hector Pardo-Hernandez, Anna Selva, Housne Ara Begum, Gian Paolo Morgano, Marcin Waligóra, Arnav Agarwal, Matthew Ventresca, Karolina Strzebońska, Mateusz T. Wasylewski, Lídia Blanco-Silvente, Janna-Lina Kerth, Mengxiao Wang, Yuqing Zhang, Saiprasad Narsingam, Yutong Fei, Gordon Guyatt, Holger J. Schünemann
European Respiratory Journal Jul 2018, 52 (1) 1800222; DOI: 10.1183/13993003.00222-2018

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A systematic review of how patients value COPD outcomes
Yuan Zhang, Rebecca L. Morgan, Pablo Alonso-Coello, Wojtek Wiercioch, Małgorzata M. Bała, Rafał R. Jaeschke, Krzysztof Styczeń, Hector Pardo-Hernandez, Anna Selva, Housne Ara Begum, Gian Paolo Morgano, Marcin Waligóra, Arnav Agarwal, Matthew Ventresca, Karolina Strzebońska, Mateusz T. Wasylewski, Lídia Blanco-Silvente, Janna-Lina Kerth, Mengxiao Wang, Yuqing Zhang, Saiprasad Narsingam, Yutong Fei, Gordon Guyatt, Holger J. Schünemann
European Respiratory Journal Jul 2018, 52 (1) 1800222; DOI: 10.1183/13993003.00222-2018
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