Skip to content

Advertisement

BMC Health Services Research

  • Research article
  • Open Access
  • Open Peer Review

This article has Open Peer Review reports available.

How does Open Peer Review work?

Physicians’ preferences for bone metastases treatments in France, Germany and the United Kingdom

  • 1Email author,
  • 1,
  • 2,
  • 2,
  • 3,
  • 3,
  • 4,
  • †5 and
  • †6
†Contributed equally
BMC Health Services Research201818:518

https://doi.org/10.1186/s12913-018-3272-x

©  The Author(s). 2018

  • Received: 1 July 2016
  • Accepted: 1 June 2018
  • Published:

Open Peer Review reports

Abstract

Background

Several bone-targeted agents (BTAs) are available for preventing skeletal-related events (SREs), but they vary in terms of efficacy, safety and mode of administration. This study assessed data on European physicians’ treatment preferences for preventing SREs in patients with bone metastases from solid tumours.

Methods

Physicians completed a web-based discrete-choice experiment survey of 10 choices between pairs of profiles of hypothetical BTAs for a putative patient. Each profile included five attributes within a pre-defined range (primarily based on existing BTAs’ prescribing information): time (months) until the first SRE; time (months) until worsening of pain; annual risk of osteonecrosis of the jaw (ONJ); annual risk of renal impairment; and mode of administration. Choice questions were developed using an experimental design with known statistical properties. A separate main-effects random parameters logit model was estimated for each country and provided the relative preference for the treatment attributes in the study.

Results

A total of 191 physicians in France, 192 physicians in Germany, and 197 physicians in the United Kingdom completed the survey. In France and the United Kingdom, time until the first SRE and risk of renal impairment were the most important attributes; in Germany, time until the first SRE and delay in worsening of pain were the most important. In all countries, a 120-min infusion every 4 weeks was the least preferred mode of administration (p < 0.05) and the annual risk of ONJ was judged to be the least important attribute.

Conclusions

When making treatment decisions regarding the choice of BTA, delaying the onset of SREs/worsening of pain and reducing the risk of renal impairment are the primary objectives for physicians.

Keywords

  • Discrete-choice experiment
  • Bone metastases
  • Bone-targeted agents
  • Preference
  • Skeletal-related event
  • Bone pain

Background

Bone is the most common site for metastasis in patients with advanced solid tumours. Approximately 70% of patients with breast cancer, 80–90% of individuals with prostate cancer and 30–40% of those patients with lung, kidney or thyroid cancer will eventually progress to metastatic bone disease [1, 2]. Patients with bone metastases frequently experience bone complications (skeletal-related events, SREs) that are commonly defined as pathologic fracture, spinal cord compression and the requirement for surgery or radiation to bone. SREs cause pain (persistent in the case of pathologic fractures; transient surges when associated with radiation to bone), impair movement and reduce load bearing and functional capacity [1, 3]. Overall, SREs are associated with increased morbidity and mortality and reduced quality of life [4–7]. Surgery to bone and spinal cord compression can result in long, sometimes traumatic, inpatient stays and substantial healthcare costs [8–10]. When considering specifically the economic burden of these events, studies have demonstrated that SREs may result in considerable healthcare resource utilisation, equating to an average cost per SRE in Europe of €13,407–51,188 [11–13]. On average, patients not receiving bone-targeted agents (BTAs) experience approximately 1.5–3.7 SREs a year [8] and up to 64% of patients with bone metastases develop these bone complications [7, 14, 15]. Furthermore, patients are at greater risk of subsequent SREs and have a poorer prognosis after their first event [8, 16].

Several BTAs are approved for use in the European Union (EU) to prevent SREs in patients with bone metastases secondary to solid tumours; the majority of BTAs are bisphosphonates (ibandronate, clodronate, pamidronate and zoledronic acid). Of the bisphosphonates, zoledronic acid is the only agent approved for use in patients with all solid tumours and is considered by many to be the gold standard; indeed, placebo-controlled phase 3 studies show that treatment with zoledronic acid delays time to a SRE by up to 5.6 months in patients with cancer and bone metastases [7, 15]. However, bisphosphonates are excreted by the kidneys and they should be used cautiously in patients with renal dysfunction [17–20]. In addition, zoledronic acid and pamidronate are not recommended for patients with severe renal impairment [18, 19]. Denosumab, a receptor activator of nuclear factor kappa B (RANK) ligand inhibitor, was approved in 2011 in the EU for use in patients with solid tumours and bone metastases, after having demonstrated superiority versus zoledronic acid in patients with prostate cancer, breast cancer and other solid tumours in three large randomised clinical trials [21–24]. An integrated analysis of the trials found that denosumab delayed time until the first SRE by 8.2 months compared with zoledronic acid [23]. Furthermore, in contrast to bisphosphonates, denosumab can be used without dose adjustment in patients with severe renal disease. Both bisphosphonates and denosumab are associated with a risk of osteonecrosis of the jaw (ONJ); in the integrated analysis of zoledronic acid versus denosumab, the incidence was 1.3 and 1.8%, respectively [23]. In addition to preventing SREs, bisphosphonates and denosumab have been shown to improve bone pain related outcomes, with denosumab delaying onset and increases in pain by considerably longer than zoledronic acid [17–20, 25].

Information on how the risks and benefits of BTAs influence prescribing decisions will help us to understand which risk–benefit profiles are acceptable to physicians. However, owing to the double-blind nature of the registrational studies, it was not possible to assess how physicians evaluate and trade off different product attributes (e.g. efficacy, safety, mode of administration). In physician-based studies conducted in North America, the potential to delay SREs was among the top attributes of BTAs considered by physicians, more so than risk of ONJ and method of treatment administration, when choosing therapy [26, 27]. To date, no studies have been conducted to assess European physicians’ preferences for any of the available BTAs.

The primary objective of this study was to quantify preferences for BTAs used for the prevention of SREs in patients with bone metastases secondary to solid tumours among treating physicians in France, Germany and the United Kingdom (UK).

Methods

Study sample

Physicians were eligible to participate in this study if they were currently involved in treating patients with bone metastases secondary to solid tumours. A research company (Harris Interactive) was engaged to recruit physicians from pre-existing physician panels in France, Germany and the UK between January and February 2013. These countries were selected as they are representative of major European markets and because the panels were already well established. Once physicians had been recruited and had provided informed consent, they were asked to complete a 25-min online discrete-choice experiment survey in their native language (i.e. English, French or German). In addition to the choice questions, basic physician demographic data were collected along with information about current level of experience in treating patients with bone metastases. These data were collated to aid interpretation of the results. Physicians were given the equivalent of approximately US$65 for participating in the study, but otherwise had no involvement with the study sponsor.

Discrete-choice experiments

Discrete-choice experiments offer a systematic method of eliciting acceptable trade-offs in order to quantify the relative importance that respondants place upon various characteristics associated with hypothetical treatment options [27–29]. This approach is based on the premise that all treatments are composed of a set of key attributes (e.g. efficacy, safety, mode of administration) and the relative value an individual places on a particular treatment is therefore a function of these attributes [30, 31].

Study design

The online discrete-choice experiment was developed and administered following current good research practice [32] for eliciting physicians’ treatment preferences. Treatment attributes were selected after reviewing product label information, scientific literature and clinical trial results, and after consultation with clinical experts regarding the relevant available BTAs including denosumab, zoledronic acid, clodronate and pamidronate [18–20, 25, 26, 33–37]. The attributes included: time until the first SRE; time until worsening of pain (at least a 2-point increase in the Brief Pain Inventory [BPI] scale); the annual risk of developing ONJ; the risk of renal impairment (defined as an annual risk of a 0.5 mg/dL increase in baseline serum creatinine level); and the mode of administration (Table 1). The levels of each attribute were chosen to encompass the range observed in current clinical practice as well as the range over which physicians are willing to accept trade-offs among attributes when evaluating hypothetical treatments.
Table 1

Attributes and levels for the choice questions

Attribute

Levels

Time until first SRE

28 months

18 months

10 months

Time until a 2-point increase in pain on the BPI

10 months

6 months

3 months

Risk of ONJ each year

None

1 out of 100 (1%)

5 out of 100 (5%)

Risk of 0.5 mg/dL increase in baseline creatinine level each year (risk of renal impairment)

None

4 out of 100 (4%)

10 out of 100 (10%)

Mode of administration

Daily oral tablet Injection every 4 weeks

15-min infusion every 4 weeks

120-min infusion every 4 weeks

BPI, Brief Pain Inventory; ONJ, osteonecrosis of the jaw; SRE, skeletal-related event

Prior to implementation, the attributes and chosen levels were validated through open-ended interviews with a test group of eight physicians who were currently treating patients with bone metastases in the United States of America (USA), where a similar discrete-choice experiment was conducted [26]. The study reported here was identical to the US study, with two exceptions. Out-of-pocket costs were not considered in this study because the treatments are partially or fully reimbursed in the EU countries included. Pamidronate and clodronate were not included in the US study because these agents are not approved (clodronate and oral pamidronate) or are rarely used (intravenous pamidronate) for the prevention of SREs in the US; consequently, daily oral tablet was not included as a method of administration in the US study. The interviews were conducted to assess the clarity and appropriateness of the descriptive information; to confirm that the five attributes included in the survey were salient to physicians and that no attributes were missing; and to determine whether the hypothetical patient profiles were representative of patients seen in their daily practice. Additional face-to-face interviews were conducted with a sample of physicians from the participating European countries (four in France, four in Germany and three in the UK) in order to test translation and cultural relevance. Data from these interviews were not included in the analysis as they were obtained solely for validation purposes.

An algorithm was used to develop hypothetical treatment profile pairs for the choice question sets. This algorithm was created using Statistical Analysis System (SAS) software Version 9.3 in order to construct a main-effects experimental design maximising D-efficiency. Using this methodology, an experimental design of 36 choice questions was developed and the design ensured that preferences for all attribute-level combinations were statistically identifiable. To avoid participant fatigue, the experimental design was divided into four versions, each with nine questions. These nine questions were then randomly ordered within each survey version. The third choice question from the four versions of choice questions was repeated as the seventh, eighth, or ninth choice question for internal validation (equating to a total of 10 choice questions per version; these responses were also included in the analysis). Each participating physician was then randomly assigned to receive one of the four questions sets and answered 10 choice questions in total. Because physicians may see patients at all stages of the disease, two profiles of what might be considered to be a typical patient with breast or prostate cancer were provided. Physicians were then asked to make their hypothetical treatment decisions based on these profiles (Fig. 1). Physicians reviewed identical patients’ profiles in all the countries.
Figure 1
Fig. 1

Patient 1 : A 57-year old woman who was diagnosed with breast cancer and developed bone metastases along with 2cm mediastinal and supraclavicular adenopathy 3 years after her initial diagnosis. She initially received treatment with docetaxel and cyclophosphamide adjuvant chemotherapy. The tumour is oestrogen receptor/progesterone receptor positive and HER-2 negative. She was on an adjuvant aromatase inhibitor at the time of her relapse. Her recurrence was noted by examination identifying the supraclavicular adenopathy. On further questioning, she admits to increasing mid-back (thoracic area) pain, which she rates as a 4 on a scale of 0 to 10*. The patient’s health is otherwise good (high performance status†) with no history of kidney disease and no significant comorbidities. Patient 2 : A 71-year-old man who was initially diagnosed with Gleason 8-10 prostate cancer 3 years ago. He is now castration-resistant and has developed bone metastases. His PSA level is ≥10. He is complaining of left hip pain when he walks and low back pain if he sits too long, which he rates as a 4 on a scale from 0–10*. The patient’s health is otherwise good (high performance status†) with no history of kidney disease and no significant comorbidities.

*Where 0 is no pain and 10 is worst pain imaginable; †Karnofsky performance status.

BPI, Brief Pain Inventory; HER-2, human epidermal growth factor-2; ONJ, osteonecrosis of the jaw; PSA prostate-specific antigen; SRE, skeletal-related event

Both the questions and the study protocol were reviewed by the Office of Research Protection and Ethics at RTI International (the responsible study organisation) and were approved by its institutional review board (IRB).

We used the test proposed by Swait and Louviere (1993) [38] to determine whether it was possible to pool the data from the three countries. In summary, we first created separate models for each country. We then constructed one pooled model in which we assumed that both preferences and error variances (also known as scale) were the same across countries and one model in which preferences were assumed to be homogeneous across countries, but scale was permitted to vary across countries. We used multinomial logit models and random parameters logit (RPL) models in our estimations and in both cases we tested (by mean of the Chow test, as suggested by Swait and Louviere) the hypothesis that the three countries have the same preferences. The hypothesis was rejected in both cases, thus a separate analysis was used for each country.

Statistical analysis

RPL models [39, 40] were used to analyse responses to choice questions and quantify trade-off preferences among physicians in each country. The model results therefore reflect the effect of attribute levels on the likelihood that treatment A or B is selected. The parameter estimates from RPLs can be interpreted as the relative strength of preference for each attribute level, with more preferred outcomes having higher preference weights.

The 95% confidence interval (CI) was calculated and reported for each preference weight. If adjacent levels of a single attribute did not overlap, the mean estimates were considered to be statistically different from each other at the 5% level of significance.

The RPL model was also used to estimate predicted choice probabilities for any treatment profiles of interest, including profiles similar to actual treatment options.

Prediction of the proportion of physicians who would choose each profile can be calculated by applying the preference weights to the attribute levels included in the profile. Here, we report the predicted choice probabilities for physicans who would select a treatment profile with characteristics similar to: denosumab, zoledronic acid, clodronate and pamidronate (Table 2). Other available products (i.e. ibandronate) are not specified as their attributes fall within the range of the parameters for the products included.
Table 2

Treatment profiles and corresponding predicted choice probabilities

Attribute

Characteristics similar to denosumab

Characteristics similar to zoledronic acid

Characteristics similar to clodronate

Characteristics similar to pamidronate

Time until first SRE, months

27.7

19.5

15–20 (assume 17.5)

10.9

Time until worsening of pain, months

5.9

5.6

3.0

0.03–several (assume 3.0)

Risk of ONJ each year, %

1.8

1.3

Yes, but value not stated (assume 1.0)

Yes, but value not stated (assume 1.0)

Risk of renal impairment each year, %

0

9.3

Yes, but value not stated (assume 5.0)

8.1

Mode of administration

Injection every 4 weeks

15-min infusion every 4 weeks

Daily oral tablet

120-min infusion every 4 weeks

Predicted choice probabilities; country, mean (95% CI)

    

France

90.4 (84.1, 94.2)

3.9 (2.0, 7.1)

5.3 (3.1, 9.0)

0.4 (0.1, 1.0)

Germany

93.5 (88.9, 96.3)

3.6 (1.9, 6.7)

2.6 (1.5, 4.5)

0.2 (0.1, 0.6)

UK

90.3 (84.8, 94.0)

3.8 (2.1, 6.6)

5.6 (3.3, 9.0)

0.3 (0.1, 0.7)

Values for pain worsening for denosumab and zoledronic acid were based on von Moos et al. 2013 [25], and for clodronate on Jagdev et al. 2001 [36]. The value for time until complication of bone metastases for clodronate was based on Kristensen et al. 1999 [37]. All other values were derived from the prescribing information for denosumab, zoledronic acid, clodronate and pamidronate [18–20, 33–35], with assumptions made, as stated, where definitive published values were absent

CI, confidence interval; ONJ, osteonecrosis of the jaw; SRE, skeletal-related event; UK, United Kingdom

Results

Participants

A total of 3553 physicians in the UK, 3872 in France and 1746 in Germany who were currently treating patients with bone metastases were invited to participate in the online discrete-choice experiment. Of those invited, 324 physicians in the UK, 330 in France and 304 in Germany responded to the invitation. Of those physicians who responded, 241 physicians in the UK, 245 in France and 238 in Germany were eligible and 236, 241 and 233 physicians in each country, respectively, consented to participate. Of the consenting physicians, 200 physicians in each country completed the survey as per the quota sampling approach (i.e. at least 150 physicians in each country).

Of the eligible physicans, three physicians from the UK, nine physicians from France and eight physicians from Germany were excluded from the analysis because they chose the same answer throughout the entire set of questions (i.e. always selecting Treatment A or Treatment B). This indicated a lack of attention to the questions and thus their responses were not included in the final analysis. The final sample included responses from 197 physicians in the UK, 191 physicians in France and 192 physicians in Germany.

The demographic characteristics of the participating physicians are listed in Table 3. In all three countries, the majority of physicians had been practising medicine for more than 10 years since completing their medical training. In both the UK and France, the majority of the participating physicians indicated that they were working in national health service hospitals (98.0 and 73.8%, respectively). In Germany, only 30.2% of the physicians were working for the state healthcare system and another 38.5% worked in office-based private practices. Across all three countries the primary area of speciality of the participating physicians was oncology. As required by the eligibility criteria, all physicians were currently treating patients with bone metastases from solid tumours.
Table 3

Demographic characteristics of participating physicians

Category

n (%)

UK (n = 197)

France (n = 191)

Germany (n = 192)

Age, years

   

18–45

129 (65.5)

113 (59.2)

82 (42.7)

46–75

68 (34.5)

78 (40.8)

110 (57.3)

Table 1. How many years have you been in practice since completing your medical training?

   

< 10

34 (17.2)

61 (32.1)

32 (16.7)

≥10

163 (82.8)

129 (67.9)

160 (83.3)

Which of the following best describes your area of specialty?

   

Primary care

6 (3.1)

5 (2.6)

10 (5.2)

Family medicine

2 (1.0)

0

1 (0.5)

Oncology

97 (50.0)

118 (62.4)

91 (47.4)

Other

89 (45.9)

66 (34.9)

90 (46.9)

On average, how many patients with bone metastases from solid tumours do you treat each week?

   

≤10

129 (65.5)

115 (60.2)

131 (68.2)

> 10

68 (34.5)

76 (39.8)

61 (31.8)

Counts and percentages displayed exclude missing values and may not add up to the total country sample size or 100%

UK, United Kingdom

Preference weights

Tables 4a–c present estimated preference weights for all attribute levels for physicians in France, Germany and the UK. The scaled relative importance estimates for the attributes are the vertical distances that individual attributes span/cover. The longer the distance for the attribute, the greater the importance of that attribute. For all three countries, time until the first SRE was considered by physicians to be relatively the most important attribute and risk of ONJ each year was considered to be relatively the least important attribute (Table 5). There was little congruence between the countries regarding the relative ordering of the remaining attributes (time until pain worsening, risk of renal impairment and mode of administration). However, as noted above, the study was not designed to evaluate whether there were statistically significant differences between countries.
Table 4

Physician preference weights for (a) France; (b) Germany; (c) UK

Attribute Name

Level

Preference weight (95% CI)

p value

(a) France

 Time until first SRE

28 months

1.44 (1.15, 1.72)

0.000

18 months

− 0.13 (− 0.26, 0.01)

0.068

10 months

−1.31 (− 1.60, − 1.02)

0.000

 Time until a 2-point increase in pain on the BPI

10 months

0.36 (0.18, 0.54)

0.000

6 months

0.18 (0.03, 0.33)

0.019

3 months

−0.54 (− 0.72, − 0.36)

0.000

 Risk of ONJ each year

None

0.15 (−0.02, 0.31)

0.086

1 out of 100 (1%)

0.22 (0.07, 0.37)

0.005

5 out of 100 (5%)

−0.37 (−0.54, − 0.19)

0.000

 Risk of 0.5 mg/dL increase in baseline creatinine each year

None

0.93 (0.68, 1.17)

0.000

4 out of 100 (4%)

−0.07 (−0.23, 0.10)

0.427

10 out of 100 (10%)

−0.86 (−1.09, − 0.64)

0.000

 Mode of administration

Daily oral tablet

0.57 (0.35, 0.79)

0.000

Injection every 4 weeks

0.12 (−0.08, 0.31)

0.239

15-min infusion every 4 weeks

−0.04 (− 0.24, 0.16)

0.677

120-min infusion every 4 weeks

−0.64 (− 0.88, 0.40)

0.000

(b) Germany

 Time until first SRE

28 months

1.48 (1.19, 1.78)

0.000

18 months

−0.31 (−0.47, − 0.16)

0.000

10 months

−1.17 (−1.46, −0.88)

0.000

 Time until a 2-point increase in pain on the BPI

10 months

0.98 (0.70, 1.25)

0.000

6 months

0.04 (−0.12, 0.19)

0.649

3 months

−1.01 (−1.19, −0.83)

0.000

 Risk of ONJ each year

None

0.40 (0.22, 0.58)

0.000

1 out of 100 (1%)

0.27 (0.11, 0.44)

0.001

5 out of 100 (5%)

−0.67 (−0.85, −0.50)

0.000

 Risk of 0.5 mg/dL increase in baseline creatinine each year

None

0.80 (0.58, 1.01)

0.000

4 out of 100 (4%)

0.11 (−0.08, 0.29)

0.264

10 out of 100 (10%)

−0.90 (−1.13, − 0.68)

0.000

 Mode of administration

Daily oral tablet

0.30 (0.08, 0.52)

0.008

Injection every 4 weeks

0.41 (0.20, 0.63)

0.000

15-min infusion every 4 weeks

0.21 (0.01, 0.41)

0.042

120-min infusion every 4 weeks

−0.92 (−1.16, − 0.68)

0.000

(c) UK

 Time until first SRE

28 months

1.25 (1.00, 1.51)

0.000

18 months

−0.08 (−0.21, 0.06)

0.275

10 months

−1.18 (−1.43, −0.92)

0.000

 Time until a 2-point increase in pain on the BPI

10 months

0.80 (0.59, 1.01)

0.000

6 months

0.17 (0.02, 0.32)

0.028

3 months

−0.97 (−1.18, − 0.76)

0.000

 Risk of ONJ each year

None

0.28 (0.13, 0.43)

0.000

1 out of 100 (1%)

0.37 (0.21, 0.53)

0.000

5 out of 100 (5%)

−0.64 (−0.83, − 0.46)

0.000

 Risk of 0.5 mg/dL increase in baseline creatinine each year

None

0.89 (0.68, 1.10)

0.000

4 out of 100 (4%)

0.07 (−0.10, 0.23)

0.434

10 out of 100 (10%)

−0.96 (−1.17, − 0.74)

0.000

 Mode of administration

Daily oral tablet

0.69 (0.47, 0.92)

0.000

Injection every 4 weeks

0.23 (0.05, 0.41)

0.011

15-min infusion every 4 weeks

−0.13 (− 0.31, 0.06)

0.175

120-min infusion every 4 weeks

−0.79 (−1.02, − 0.57)

0.000

BPI, Brief Pain Inventory; CI, confidence interval; ONJ, osteonecrosis of the jaw; SRE, skeletal-related event

Table 5

Relative importance of attributes in decreasing order

Relative importance

UK

France

Germany

1

Time until first SRE

Time until first SRE

Time until first SRE

2

Risk of renal impairment each year

Risk of renal impairment each year

Time until worsening of pain

3

Time until worsening of pain

Mode of administration

Risk of renal impairment each year

4

Mode of administration

Time until worsening of pain

Mode of administration

5

Risk of ONJ each year

Risk of ONJ each year

Risk of ONJ each year

ONJ, osteonecrosis of the jaw; SRE, skeletal-related events; UK, United Kingdom

Within each attribute, among physicians from France and the UK, preference weights followed the predicted ordering based on the severity of outcomes for all the applicable numerical attributes levels, except for no risk and 1% risk of ONJ, for which physicians did not perceive there to be a difference between the two levels (Tables 4a and c). In Germany (Table 4b), preference weights followed the natural ordering for all attributes. The preference weights for all levels were statistically significantly different from each other (p < 0.05) for time until the first SRE and risk of renal impairment in all countries (Table 4). The preference weights for all levels of time until worsening of pain were also statistically significantly different from each other in both the UK and Germany (p < 0.05). In relation to the mode of administration, for the UK, preference for a daily oral tablet, a subcutaneous injection, a 15-min infusion and a 120-min infusion were statistically significantly different from each other (p < 0.05). In France, preference for a subcutaneous injection and a 15-min infusion were not statistically significantly different from each other (p > 0.05). In Germany, preference for a daily oral tablet, a subcutaneous injection and a 15-min infusion were not statistically significantly different from each other (p > 0.05). Across all three countries, the 120-min infusion every 4 weeks was the least preferred mode of administration.

Predicted choice probabilities in terms of the likelihood that one treatment with its associated attributes would be chosen over the other treatment are detailed in Table 2. Physicians were not directly asked about their preference for existing treatment options. Instead, their preferences for a particular treatment were estimated by adding the preference weights (Table 4) for the attribute levels included in individual treatment profile outlined in Table 2, and this was a totality of physicians’ preferences regarding SRE prevention, delay in pain worsening, risk of ONJ, risk of renal impairment and mode of administration. It was estimated that in all three countries, the majority of physicians preferred a treatment with attributes similar to denosumab (90.3% in the UK, 90.4% in France and 93.5% in Germany).

Discussion

The study findings suggest that the relative efficacy of the BTA in delaying SREs and its potential for causing renal impairment play a relatively greater role when physicians are forming treatment decisions compared with other aspects associated with treatment, such as the potential risk of ONJ. In our study, there was little or no difference across all countries in terms of physicians’ preference between no risk of ONJ and a 1% annual risk of ONJ. This may be because physicians are increasingly aware of good dental health steps that can be taken before and during treatment with a BTA in order to reduce the risk of this complication. Some authors have claimed in recent publications that, through patient and healthcare education, proactive monitoring and early diagnosis, ONJ management is now focused on conservative approaches [41–43]. Thus, our data likely reflect the fact that physicians widely accept the positive risk–benefit profile associated with BTAs.

From the perspective of the treating physicians, limited importance was placed on the mode of administration of the BTA. In addition to concern over the patient’s burden of treatment administration (requiring insertion of an intravenous line or remaining upright for a period of time after taking an oral tablet), physician preference for one type of mode of administration over another may be driven by other aspects such as reimbursement incentives for intravenous administration, availability of an intravenous infusion chair, concerns regarding patient adherence/persistence with oral treatments or the desire to see the patient on a regular basis.

Delaying SREs and avoiding renal impairment were also selected as the most important clinical attributes from a physician’s perspective in the US discrete-choice study and in a similar experiment in Canada and, in line with the results of our study, less importance was placed on treatment administration and the risk of ONJ [26, 27]. These data confirm that treatments that delay SREs and carry a low risk of renal impairment are desirable in the opinions of physicians from both Europe and North America.

While it is not uncommon to observe discrepancies between physicians’ and patients’ preferences, overall, the findings from this study appear to be in concordance with findings from a similarly designed, patient focused discrete-choice experiment in which self reported physican diagnosed patients from online panels were asked to evaluate hypothetical treatment profiles [44]. Consenting patient participants were asked to select from hypothetical Treatment A or Treatment B derived from the prescribing information of currently available BTAs, with the same attributes as those listed for physicians. For patients, the most important characteristics when selecting treatments were generally delaying SREs, avoiding renal impairment and delaying pain worsening, while risk of ONJ was the least important.

Based on the results of the predicted choice probability analysis, physicians preferred a hypothetical treatment profile with attributes similar to denosumab. This is driven by their desire to delay the symptoms of SREs, to manage the annual risk of renal impairment (historically associated with bisphosphonates) and to prevent the worsening of pain.

The self-selection of paticipants (from the wider invitee population) is acknowledged as a study limitation and source of potential bias. Willingness to participate may reflect some inherent bias in the profile (charateristics/traits) of the participating physicians (e.g. age, professional experience, caseload, setting) and may limit the generalisability of the results to a wider physician population. No data on the representativeness of the participating physician are available to qualify the extent of this potential bias. Discrete-choice experiments also have an inherent number of limitations. First, preference is inferred based on choices of hypothetical treatment profiles from the survey instrument. In order to minimise the hypothetical bias, we attempted to make the hypothetical choices mimic real-world trade-offs as closely as possible and verified the attributes included in the survey with clinical experts in the open-ended interviews during survey testing. Nevertheless, values assigned to the attribute levels could influence the degree of importance placed on each attribute by physicians. For example, zoledronic acid can be given as frequently as every 3 weeks; however, data suggest that the vast majority (83%) of patients receive zoledronic acid every 4 weeks [45], and so we did not include administration every 3 weeks as an option. Furthermore, hypothetical choices are based on the ‘ideal’ whereas, in reality, the treatment option with the corresponding treatment attributes may not be reimbursed for use in a particular country. As such, we did not determine whether or not costs and current reimbursement situations would further influence physicians’ decisions. It is, however, likely that the financial implications of treatment decisions for healthcare systems influence clinical practice.

Conclusion

Our discrete-choice experiment found that, in France and the UK, time until the first SRE and risk of renal impairment were the most important attributes when choosing a BTA, whereas in Germany, time until the first SRE and delay in worsening of pain were the most important. It was estimated that the majority of physicians in all three countries preferred a BTA with attributes that were most similar to those of denosumab. To the best of our knowledge, this is the first study to quantify European physicians’ preferences for attributes when choosing a BTA for the active prevention of SREs caused by bone metastases arising in patients with solid tumours. Such an assessment of available treatment options provides insight into the physicians’ treatment decision making and may further help to inform treatment practice, assist in reimbursement decisions and improve overall disease and patient management.

Notes

Abbreviations

BPI: 

Brief Pain Inventory

BTA: 

Bone-targeted agent

CI: 

Confidence interval

EU: 

European Union

IRB: 

Institutional review board

ONJ: 

Osteonecrosis of the jaw

RANK: 

Receptor activator of nuclear factor kappa B

RPL: 

Random parameters logit

SAS: 

Statistical analysis system

SRE: 

Skeletal-related event

UK: 

United Kingdom

USA: 

United States of America

Declarations

Acknowledgements

Medical writing support was provided by Emma Thomas of Amgen (Europe) GmbH. Editorial support was provided by Sarah Petrig of Amgen (Europe) GmbH and Oxford PharmaGenesis Ltd. (funded by Amgen [Europe] GmbH).

Funding

Funding for this study was obtained from Amgen Inc., Thousand Oaks, CA, USA. Amgen Inc. was involved in the design of the study, and in the analysis and interpretation of the data. Amgen Inc. provided funding to RTI Health Solutions who were involved in the design of the study, collection, analysis and interpretation of the data. Amgen Inc. also provided funding to Harris Interactive who were involved in the recruitment of physicians for the study. Physicians were given the equivalent of approximately US$65 for participating in the study, but otherwise had no involvement with the study sponsor. Medical writing and editorial support for the development of this manuscript was funded by Amgen (Europe) GmbH.

Availability of data and materials

The data sets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Authors’ contributions

YQ, JA, FG, GH, ABH and AFM were involved in the design of this study. ABH and AFM were involved in data collection. All authors (YQ, JA, FG, GH, ABH, AFM, AB, RvM, JJB) were involved in data analysis and discussion, and contributed to the drafting and finalisation of this manuscript. All authors read and approved the final manuscript.

Ethics approval and consent to participate

This study was approved by the IRB of the Office of Research Protection and Ethics at RTI International (the responsible study organisation) and was performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments. Participants gave their informed consent prior to their inclusion in the study.

Competing interests

GH, JA, FG and YQ are employed by Amgen and own stock. ABH is an employee of RTI Health Solutions and has no conflict of interest. AFM was employed at RTI Health Solutions during the study and has no conflict of interest. AB has received honoraria for participating in Advisory Boards from Amgen, Sanofi, Astellas, Roche, Novartis and Bayer. RvM has received research grants from Amgen, Roche and Merck. He has participated in Advisory Boards for Amgen, Roche, Novartis, Merck, MSD, and Eli Lilly. He has received speaking honoraria from Amgen and GSK. JJB has received speaking honoraria and consulting fees from Amgen and Novartis. The authors declares that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Health Economics, Amgen Inc, Thousand Oaks, USA
(2)
Health Economics, Amgen (Europe) GmbH, Zug, Switzerland
(3)
RTI Health Solutions, Research Triangle Park, USA
(4)
Bristol Haematology and Oncology Centre, University Hospitals Bristol, Bristol Royal Infirmary, Bristol, UK
(5)
Department of Oncology/Hematology, Kantonsspital Graubünden, Chur, Switzerland
(6)
Department of Medicine, CHU Brugmann, ULB, Brussels, Belgium

References

  1. Coleman RE. Clinical features of metastatic bone disease and risk of skeletal morbidity. Clin Cancer Res. 2006;12:6243s–9s.View ArticlePubMedGoogle Scholar
  2. Parker C, Nilsson S, Heinrich D, Helle SI, O'Sullivan JM, Fosså SD, Chodacki A, Wiechno P, Logue J, Seke M, Widmark A, Johannessen DC, Hoskin P, Bottomley D, James ND, Solberg A, Syndikus I, Kliment J, Wedel S, Boehmer S, Dall'Oglio M, Franzén L, Coleman R, Vogelzang NJ, O'Bryan-Tear CG, Staudacher K, Garcia-Vargas J, Shan M, Bruland ØS, Sartor O, ALSYMPCA Investigators. Alpha emitter radium-223 and survival in metastatic prostate cancer. N Engl J Med. 2013;369:213–23.View ArticlePubMedGoogle Scholar
  3. Loblaw DA, Wu JS, Kirkbride P, Panzarella T, Smith K, Aslanidis J, Warde P. Pain flare in patients with bone metastases after palliative radiotherapy – a nested randomized control trial. Support Care Cancer. 2007;15:451–5.View ArticlePubMedGoogle Scholar
  4. Chow E, Hoskin P, van der Linden Y, Bottomley A, Velikova G. Quality of life and symptom end points in palliative bone metastases trials. Clin Oncol (R Coll Radiol) 2006;18:67–69.Google Scholar
  5. Langer C, Hirsh V. Skeletal morbidity in lung cancer patients with bone metastases: demonstrating the need for early diagnosis and treatment with bisphosphonates. Lung Cancer. 2010;67:4–11.View ArticlePubMedGoogle Scholar
  6. Plunkett TA, Smith P, Rubens RD. Risk of complications from bone metastases in breast cancer. Implications for management Eur J Cancer. 2000;36:476–82.View ArticlePubMedGoogle Scholar
  7. Saad F, Gleason DM, Murray R, Tchekmedyian S, Venner P, Lacombe L, Chin JL, Vinholes JJ, Goas JA, Zheng M. Zoledronic Acid Prostate Cancer Study Group: Long-term efficacy of zoledronic acid for the prevention of skeletal complications in patients with metastatic hormone-refractory prostate cancer. J Natl Cancer Inst. 2004;96:879–82.View ArticlePubMedGoogle Scholar
  8. von Moos R, Sternberg C, Body JJ, Bokemeyer C. Reducing the burden of bone metastases: current concepts and treatment options. Support Care Cancer. 2013;21:1773–83.View ArticlePubMedGoogle Scholar
  9. Katzer A, Meenen NM, Grabbe F, Rueger JM. Surgery of skeletal metastases. Arch Orthop Trauma Surg. 2002;122:251–8.View ArticlePubMedGoogle Scholar
  10. Rubens RD. Bone metastases – the clinical problem. Eur J Cancer. 1998;34:210–3.View ArticlePubMedGoogle Scholar
  11. Body JJ, Chevalier P, Gunther O, Hechmati G, Lamotte M. The economic burden associated with skeletal-related events in patients with bone metastases secondary to solid tumors in Belgium. J Med Econ. 2013;16:539–46.View ArticlePubMedGoogle Scholar
  12. Hechmati G, Cure S, Gouépo A, Hoefeler H, Lorusso V, Lüftner D, Duran I, Garzon-Rodriguez C, Ashcroft J, Wei R, Ghelani P, Bahl A. Cost of skeletal-related events in European patients with solid tumours and bone metastases: data from a prospective multinational observational study. J Med Econ. 2013;16:691–700.View ArticlePubMedGoogle Scholar
  13. Lothgren M, Ribnicsek E, Schmidt L, Habacher W, Lundkvhist J, Pfeil AM, Biteeva I, Vrouchou P, Bracco A. Cost per patient and potential budget implications of denosumab compared with zoledronic acid in adults with bone metastases from solid tumours who are at risk of skeletal-related events: an analysis for Austria, Sweden and Switzerland. Eur J Hosp Pharm. 2013;20:227–31.View ArticleGoogle Scholar
  14. Lipton A, Theriault RL, Hortobagyi GN, Simeone J, Knight RD, Mellars K, Reitsma DJ, Heffernan M, Seaman JJ. Pamidronate prevents skeletal complications and is effective palliative treatment in women with breast carcinoma and osteolytic bone metastases: long term follow-up of two randomized, placebo-controlled trials. Cancer. 2000;88:1082–90.View ArticlePubMedGoogle Scholar
  15. Rosen LS, Gordon D, Tchekmedyian NS, Yanagihara R, Hirsh V, Krzakowski M, Pawlicki M, De Souza P, Zheng M, Urbanowitz G, Reitsma D, Seaman J. Long-term efficacy and safety of zoledronic acid in the treatment of skeletal metastases in patients with nonsmall cell lung carcinoma and other solid tumors: a randomized, Phase III, double-blind, placebo-controlled trial. Cancer. 2004;100:2613–21.View ArticlePubMedGoogle Scholar
  16. Clemons M, Gelmon KA, Pritchard KI, Paterson AH. Bone-targeted agents and skeletal-related events in breast cancer patients with bone metastases: the state of the art. Curr Oncol. 2012;19:259–68.View ArticlePubMedPubMed CentralGoogle Scholar
  17. Roche: Bondronat® summary of product characteristics. 2015. http://www.ema.europa.eu/ema/index.jsp?curl=pages/medicines/human/medicines/000101/human_med_000678.jsp&mid=WC0b01ac058001d124. [Accessed 26 Apr 2016].Google Scholar
  18. Novartis: ZOMETA® summary of product characteristics. 2016. http://www.ema.europa.eu/ema/index.jsp?curl=pages/medicines/human/medicines/000336/human_med_001182.jsp&mid=WC0b01ac058001d124 [Accessed 26 Apr 2016].Google Scholar
  19. Hospira: Pamidronate disodium prescribing information. 2016. https://www.medicines.org.uk/emc/medicine/21443. [Accessed 26 Apr 2016].Google Scholar
  20. Bayer: BONEFOS® summary of product characteristics. 2016. https://www.medicines.org.uk/emc/medicine/311. [Accessed 26 Apr 2016].Google Scholar
  21. Fizazi K, Carducci M, Smith M, Damião R, Brown J, Karsh L, Milecki P, Shore N, Rader M, Wang H, Jiang Q, Tadros S, Dansey R, Goessl C. Denosumab versus zoledronic acid for treatment of bone metastases in men with castration-resistant prostate cancer: a randomised, double-blind study. Lancet. 2011;377:813–22.View ArticlePubMedPubMed CentralGoogle Scholar
  22. Henry D, Vadhan-Raj S, Hirsh V, von Moos R, Hungria V, Costa L, Woll PJ, Scagliotti G, Smith G, Feng A, Jun S, Dansey R, Yeh H. Delaying skeletal-related events in a randomized phase 3 study of denosumab versus zoledronic acid in patients with advanced cancer: an analysis of data from patients with solid tumors. Support Care Cancer. 2014;22:679–87.View ArticlePubMedGoogle Scholar
  23. Lipton A, Fizazi K, Stopeck AT, Henry DH, Brown JE, Yardley DA, Richardson GE, Siena S, Maroto P, Clemens M, Bilynskyy B, Charu V, Beuzeboc P, Rader M, Viniegra M, Saad F, Ke C, Braun A, Jun S. Superiority of denosumab to zoledronic acid for prevention of skeletal-related events: a combined analysis of 3 pivotal, randomised, phase 3 trials. Eur J Cancer. 2012;48:3082–92.View ArticlePubMedGoogle Scholar
  24. Stopeck AT, Lipton A, Body JJ, Steger GG, Tonkin K, de Boer RH, Lichinitser M, Fujiwara Y, Yardley DA, Viniegra M, Fan M, Jiang Q, Dansey R, Jun S, Braun A. Denosumab compared with zoledronic acid for the treatment of bone metastases in patients with advanced breast cancer: a randomized, double-blind study. J Clin Oncol. 2010;28:5132–9.View ArticlePubMedGoogle Scholar
  25. von Moos R, Body JJ, Egerdie B, Stopeck A, Brown JE, Damyanov D, Fallowfield LJ, Marx G, Cleeland CS, Patrick DL, Palazzo FG, Qian Y, Braun A, Chung K. Pain and health-related quality of life in patients with advanced solid tumours and bone metastases: integrated results from three randomized, double-blind studies of denosumab and zoledronic acid. Support Care Cancer. 2013;21:3497–507.View ArticlePubMedGoogle Scholar
  26. Arellano J, Hauber AB, Mohamed AF, Gonzalez JM, Collins H, Hechmati G, Gatta F, Qian Y. Physicians' preferences for bone metastases drug therapy in the United States. Value Health. 2015;18:78–83.View ArticlePubMedGoogle Scholar
  27. Arellano J, González JM, Qian Y, Habib M, Mohamed AF, Gatta F, Hauber AB, Posner J, Califaretti N, Chow E. Physician preferences for bone metastasis drug therapy in Canada. Curr Oncol. 2015;22:e342–8.View ArticlePubMedPubMed CentralGoogle Scholar
  28. Marshall D, Bridges JF, Hauber B, Cameron R, Donnalley L, Fyie K, Johnson FR. Conjoint Analysis Applications in Health – How are Studies being Designed and Reported?: An Update on Current Practice in the Published Literature between 2005 and 2008. Patient. 2010;3:249–56.View ArticlePubMedGoogle Scholar
  29. Mohamed AF, Hauber AB, Neary MP. Patient benefit-risk preferences for targeted agents in the treatment of renal cell carcinoma. Pharmacoeconomics. 2011;29:977–88.View ArticlePubMedGoogle Scholar
  30. Hensher DA, Rose JM, Greene WH. Applied choice analysis: a primer. Cambridge: Cambridge University Press; 2005.View ArticleGoogle Scholar
  31. Louviere JJ, Hensher DA, Swait JD. Stated choice methods: analysis and applications. Cambridge: Cambridge University Press; 2000.View ArticleGoogle Scholar
  32. Bridges JF, Hauber AB, Marshall D, Lloyd A, Prosser LA, Regier DA, Johnson FR, Mauskopf J. Conjoint analysis applications in health – a checklist: a report of the ISPOR Good Research Practices for Conjoint Analysis Task Force. Value Health. 2011;14:403–13.View ArticlePubMedGoogle Scholar
  33. Amgen: XGEVA® prescribing information. 2016. http://www.accessdata.fda.gov/drugsatfda_docs/label/2016/125320Orig1s177lbl.pdf. [Accessed 22 Apr 2016].Google Scholar
  34. Novartis: ZOMETA® prescribing information. 2015. http://www.accessdata.fda.gov/drugsatfda_docs/label/2016/021223s034lbl.pdf. [Accessed 22 Apr 2016].Google Scholar
  35. Amgen: XGEVA® summary of product characteristics. 2015. http://www.ema.europa.eu/docs/en_GB/document_library/EPAR_-_Product_Information/human/002173/WC500110381.pdf. [Accessed 26 Apr 2016].Google Scholar
  36. Jagdev SP, Purohit P, Heatley S, Herling C, Coleman RE. Comparison of the effects of intravenous pamidronate and oral clodronate on symptoms and bone resorption in patients with metastatic bone disease. Ann Oncol. 2001;12:1433–8.View ArticlePubMedGoogle Scholar
  37. Kristensen B, Ejlertsen B, Groenvold M, Hein S, Loft H, Mouridsen HT. Oral clodronate in breast cancer patients with bone metastases: a randomized study. J Intern Med. 1999;246:67–74.View ArticlePubMedGoogle Scholar
  38. Swait J, Louviere J. The Role of the Scale Parameter in the Estimation and Use of Multinomial Logit Models. J Mark Res. 1993;30:305–14.View ArticleGoogle Scholar
  39. Train KE. Discrete choice methods with simulation. Cambridge: Cambridge University Press; 2003.View ArticleGoogle Scholar
  40. Train KE, Sonnier G. Mixed logit with bounded distributions of correlated partworths. In: Scarpa R, Alberini A, editors. Applications of simulation methods in environmental and resource economics, vol. 6. Dordrecht: Springer; 2005.Google Scholar
  41. Marx RE, Sawatari Y, Fortin M, Broumand V. Bisphosphonate-induced exposed bone (osteonecrosis/osteopetrosis) of the jaws: risk factors, recognition, prevention, and treatment. J Oral Maxillofac Surg. 2005;63:1567–75.View ArticlePubMedGoogle Scholar
  42. Polascik TJ, Mouraviev V. Zoledronic acid in the management of metastatic bone disease. Ther Clin Risk Manag. 2008;4:261–8.View ArticlePubMedPubMed CentralGoogle Scholar
  43. Saad F, Brown JE, Van Poznak C, Ibrahim T, Stemmer SM, Stopeck AT, Diel IJ, Takahashi S, Shore N, Henry DH, Barrios CH, Facon T, Senecal F, Fizazi K, Zhou L, Daniels A, Carrière P. Dansey Incidence, risk factors, and outcomes of osteonecrosis of the jaw: integrated analysis from three blinded active-controlled phase III trials in cancer patients with bone metastases. Ann Oncol. 2012;23:1341–7.View ArticlePubMedGoogle Scholar
  44. Hechmati G, Arellano J, Mohamed AF, Hauber AB, Qian Y, Gatta F, Haynes I, Bahl A. Patients' preferences for attributes of bone metastases treatments in France, Germany and the United Kingdom. Poster presented at the European Cancer Congress 2013 (ECCO-ESMO-ESTRO), Amsterdam, Netherlands, 2013.Google Scholar
  45. Henry DH, von Moos R, Body J-J, Rider A, De Courcy J, Murray G, Bhowmik D, Gatta F, Arellano J, Hechmati G, Roberts Z, Qian Y Bone targeting agent treatment patterns and the impact of bone metastases on patients with advanced breast cancer in the US Poster presented at the 2015 Breast Cancer Symposium, San Francisco, CA, USA, 2015.Google Scholar

Copyright

© The Author(s). 2018

Advertisement

BMC Health Services Research

ISSN: 1472-6963

Contact us