Skip to main content
Top
Published in: Pituitary 1/2019

Open Access 01-02-2019 | Acromegaly

AcroVoice: eliciting the patients’ perspective on acromegaly disease activity

Authors: Yanina Jackson, Emuella Flood, Stephanie Rhoten, Ellen M. Janssen, Mark Lundie

Published in: Pituitary | Issue 1/2019

Login to get access

Abstract

Purpose

To determine how patients define acromegaly disease activity and treatment success and to quantify from the patients’ perspective the relative importance of each disease parameter included in the ACRODAT®.

Methods

One hundred acromegaly patients on medical therapy (mean age = 47.1 years; SD = 11.96) completed an online preference study evaluating hypothetical patient profiles described in terms of insulin-like growth factor-I (IGF-I) levels, tumor size, comorbid conditions, signs/symptoms, and quality of life (QoL). Participants first completed a single-profile task experiment by rating 20 single patient profiles as exhibiting stable, mild, or significant disease activity based on treatment success. Next, participants completed a double-profile discrete choice experiment (DCE) by selecting the patient that was doing “better” from 15 profile pairs. Results were analyzed using logistic and conditional logistic models.

Results

When choosing between stable vs. mild or significant disease activity, signs/symptoms, tumor size, and IGF-I levels were weighted equally; IGF-I and signs and symptoms were valued equally when selecting mild vs. significant disease activity. The DCE showed that, statistically, all disease parameters, except comorbid conditions, predicted health status equally. Tumor size and IGF-I levels each accounted for 23% of the decision-making process; QoL, signs/symptoms, and comorbid conditions accounted for 21%, 19%, and 14%, respectively.

Conclusion

All five ACRODAT® parameters had some influence on disease activity from the patients’ perspective. To account for patients’ preferences and optimize treatment and outcomes, a holistic disease management approach should be employed.
Appendix
Available only for authorised users
Literature
2.
3.
go back to reference Colao A, Ferone D, Marzullo P, Lombardi G (2004) Systemic complications of acromegaly: epidemiology, pathogenesis, and management. Endocr Rev 25(1):102–152CrossRef Colao A, Ferone D, Marzullo P, Lombardi G (2004) Systemic complications of acromegaly: epidemiology, pathogenesis, and management. Endocr Rev 25(1):102–152CrossRef
4.
go back to reference Holdaway IM, Bolland MJ, Gamble GD (2008) A meta-analysis of the effect of lowering serum levels of GH and IGF-I on mortality in acromegaly. Eur J Endocrinol 159(2):89–95CrossRefPubMed Holdaway IM, Bolland MJ, Gamble GD (2008) A meta-analysis of the effect of lowering serum levels of GH and IGF-I on mortality in acromegaly. Eur J Endocrinol 159(2):89–95CrossRefPubMed
5.
go back to reference Ritvonen E, Löyttyniemi E, Jaatinen P, Ebeling T, Moilanen L, Nuutila P, Kauppinen-Mäkelin R, Schalin-Jäntti C (2016) Mortality in acromegaly: a 20-year follow-up study. Endocr Relat Cancer 23(6):469–480CrossRefPubMed Ritvonen E, Löyttyniemi E, Jaatinen P, Ebeling T, Moilanen L, Nuutila P, Kauppinen-Mäkelin R, Schalin-Jäntti C (2016) Mortality in acromegaly: a 20-year follow-up study. Endocr Relat Cancer 23(6):469–480CrossRefPubMed
6.
go back to reference Lavrentaki A, Paluzzi A, Wass JAH, Karavitaki N (2017) Epidemiology of acromegaly: review of population studies. Pituitary 20(1):4–9CrossRefPubMed Lavrentaki A, Paluzzi A, Wass JAH, Karavitaki N (2017) Epidemiology of acromegaly: review of population studies. Pituitary 20(1):4–9CrossRefPubMed
7.
go back to reference Katznelson L, Laws ER Jr, Melmed S, Molitch ME, Murad MH, Utz A, Wass JAH (2014) Acromegaly: an endocrine society clinical practice guideline. J Clin Endocrinol Metab 99(11):3933–3951CrossRefPubMed Katznelson L, Laws ER Jr, Melmed S, Molitch ME, Murad MH, Utz A, Wass JAH (2014) Acromegaly: an endocrine society clinical practice guideline. J Clin Endocrinol Metab 99(11):3933–3951CrossRefPubMed
9.
go back to reference Neggers SJ, van Aken MO, de Herder WW, Feelders RA, Janssen JA, Badia X, Webb SM, van der Lely AJ (2008) Quality of life in acromegalic patients during long-term somatostatin analog treatment with and without pegvisomant. J Clin Endocrinol Metab 93(10):3853–3859CrossRefPubMed Neggers SJ, van Aken MO, de Herder WW, Feelders RA, Janssen JA, Badia X, Webb SM, van der Lely AJ (2008) Quality of life in acromegalic patients during long-term somatostatin analog treatment with and without pegvisomant. J Clin Endocrinol Metab 93(10):3853–3859CrossRefPubMed
10.
go back to reference van der Lely AJ, Gomez R, Pleil A, Badia X, Brue T, Buchfelder M, Burman P, Clemmons D, Ghigo E, Jorgensen JOL, Luger A, van der Lans-Bussemaker J, Webb SM, Strasburger CJ (2017) Development of ACRODAT®, a new software medical device to assess disease activity in patients with acromegaly. Pituitary 20(6):692–701CrossRefPubMedCentralPubMed van der Lely AJ, Gomez R, Pleil A, Badia X, Brue T, Buchfelder M, Burman P, Clemmons D, Ghigo E, Jorgensen JOL, Luger A, van der Lans-Bussemaker J, Webb SM, Strasburger CJ (2017) Development of ACRODAT®, a new software medical device to assess disease activity in patients with acromegaly. Pituitary 20(6):692–701CrossRefPubMedCentralPubMed
12.
go back to reference Irony T, Ho M, Christopher S, Levitan B (2016) Incorporating patient preferences into medical device benefit-risk assessments. Stat Biopharm Res 8(3):230–236CrossRef Irony T, Ho M, Christopher S, Levitan B (2016) Incorporating patient preferences into medical device benefit-risk assessments. Stat Biopharm Res 8(3):230–236CrossRef
13.
go back to reference Jackson Y, Lundie M, Flood E, Rhoten S, Pleil AM (2018) AcroVoice: The patient perspective on Acromegaly disease activity. Presented at The Endocrine Society’s 100th Annual Meeting: Chicago, IL, USA Jackson Y, Lundie M, Flood E, Rhoten S, Pleil AM (2018) AcroVoice: The patient perspective on Acromegaly disease activity. Presented at The Endocrine Society’s 100th Annual Meeting: Chicago, IL, USA
14.
go back to reference Kjaer T, Bech M, Gyrd-Hansen D, Hart-Hansen K (2006) Ordering effect and price sensitivity in discrete choice experiments: need we worry? Health Econ 15(11):121CrossRef Kjaer T, Bech M, Gyrd-Hansen D, Hart-Hansen K (2006) Ordering effect and price sensitivity in discrete choice experiments: need we worry? Health Econ 15(11):121CrossRef
15.
go back to reference Kanninen B (2002) Optimal design for multinomial choice experiments. J Mark Res 39:214–227CrossRef Kanninen B (2002) Optimal design for multinomial choice experiments. J Mark Res 39:214–227CrossRef
16.
go back to reference Kuhfeld WF, Tobias RD, Garratt M (1994) Efficient experimental design with marketing research applications. J Mark Res 31:545–557CrossRef Kuhfeld WF, Tobias RD, Garratt M (1994) Efficient experimental design with marketing research applications. J Mark Res 31:545–557CrossRef
17.
go back to reference ChoiceMetrics (2018) Ngene 1.2 User Manual & Reference Guide. Australia ChoiceMetrics (2018) Ngene 1.2 User Manual & Reference Guide. Australia
18.
go back to reference Johnson FR, Lancsar E, Marshall D, Kilambi V, Mühlbacher A, Regier DA, Bresnahan BW, Kanninen B, Bridges JF (2013) Constructing experimental designs for discrete-choice experiments: report of the ISPOR conjoint analysis experimental design good research practices task force. Value in Health 16(1):3–13CrossRef Johnson FR, Lancsar E, Marshall D, Kilambi V, Mühlbacher A, Regier DA, Bresnahan BW, Kanninen B, Bridges JF (2013) Constructing experimental designs for discrete-choice experiments: report of the ISPOR conjoint analysis experimental design good research practices task force. Value in Health 16(1):3–13CrossRef
19.
go back to reference Hauber AB, González JM, Groothuis-Oudshoorn CG, Prior T, Marshall DA, Cunningham C, Ijzerman MJ, Bridges JF (2016) Statistical methods for the analysis of discrete choice experiments: a report of the ISPOR conjoint analysis good research practices task force. Value Health 19(4):300–315CrossRefPubMed Hauber AB, González JM, Groothuis-Oudshoorn CG, Prior T, Marshall DA, Cunningham C, Ijzerman MJ, Bridges JF (2016) Statistical methods for the analysis of discrete choice experiments: a report of the ISPOR conjoint analysis good research practices task force. Value Health 19(4):300–315CrossRefPubMed
20.
go back to reference Ho MP, Gonzalez JM, Lerner HP, Neuland CY, Whang JM, McMurry-Heath M, Hauber AB, Irony T (2015) Incorporating patient-preference evidence into regulatory decision making. Surg Endosc 29(10):2984–2993CrossRefPubMed Ho MP, Gonzalez JM, Lerner HP, Neuland CY, Whang JM, McMurry-Heath M, Hauber AB, Irony T (2015) Incorporating patient-preference evidence into regulatory decision making. Surg Endosc 29(10):2984–2993CrossRefPubMed
21.
go back to reference Hollin IL, Young C, Hanson C, Bridges JFP, Peay H (2016) Developing a patient-centered benefit-risk survey: a community-engaged process. Value Health 19(6):751–757CrossRefPubMed Hollin IL, Young C, Hanson C, Bridges JFP, Peay H (2016) Developing a patient-centered benefit-risk survey: a community-engaged process. Value Health 19(6):751–757CrossRefPubMed
22.
go back to reference Orme B (1998) Sample size issues for conjoint analysis studies. Sawtooth Software Technical Paper, Sequim Orme B (1998) Sample size issues for conjoint analysis studies. Sawtooth Software Technical Paper, Sequim
23.
go back to reference De Bekker-Grob EW, Donkers B, Jonker MF, Stolk EA (2015) Sample size requirements for discrete-choice experiments in healthcare: a practical guide. Patient 8(5):373–384CrossRefPubMedCentralPubMed De Bekker-Grob EW, Donkers B, Jonker MF, Stolk EA (2015) Sample size requirements for discrete-choice experiments in healthcare: a practical guide. Patient 8(5):373–384CrossRefPubMedCentralPubMed
Metadata
Title
AcroVoice: eliciting the patients’ perspective on acromegaly disease activity
Authors
Yanina Jackson
Emuella Flood
Stephanie Rhoten
Ellen M. Janssen
Mark Lundie
Publication date
01-02-2019
Publisher
Springer US
Keyword
Acromegaly
Published in
Pituitary / Issue 1/2019
Print ISSN: 1386-341X
Electronic ISSN: 1573-7403
DOI
https://doi.org/10.1007/s11102-018-00933-9

Other articles of this Issue 1/2019

Pituitary 1/2019 Go to the issue