Skip to main content
Top
Published in: BMC Health Services Research 1/2017

Open Access 01-12-2017 | Study protocol

Study protocol of an equivalence randomized controlled trial to evaluate the effectiveness of three different approaches to collecting Patient Reported Outcome Measures (PROMs) data using the Prostate Cancer Outcomes Registry-Victoria (PCOR-VIC)

Authors: Dewan Md Emdadul Hoque, Fanny Sampurno, Rasa Ruseckaite, Paula Lorgelly, Sue M. Evans

Published in: BMC Health Services Research | Issue 1/2017

Login to get access

Abstract

Background

Patient-reported outcome measures (PROMs) are used by clinical quality registries to assess patients’ perspectives of care outcomes and quality of life. PROMs can be assessed through a self-administered survey or by a third party. Use of mixed mode approaches where PROMs are completed using a single or combination of administration method is emerging. The aim of this study is to identify the most cost-effective efficient approach to collecting PROMs among three modes (telephone, postal service/mail and email) in a population-based clinical quality registry monitoring survivorship after a diagnosis of prostate cancer. This is important to assist the registry in achieving representative PROMs capture using the most cost-effective technique and in developing cost projections for national scale-up.

Methods/design

This study will adopt an equivalence randomised controlled design. Participants are men diagnosed with and/or treated for prostate cancer (PCa) participating in PCOR-VIC and meet the criteria for 12-month follow-up. Participants will be individually randomized to three independent groups: telephone, mail/postal, or email to complete the 26-item Expanded Prostate Cancer Index Composite (EPIC-26) survey. It is estimated each group will have 229 respondents. We will compare the proportion of completed surveys across the three groups.
The economic evaluation will be undertaken from the perspective of the data collection centre and consider all operating costs (personnel, supplies, training, operation and maintenance). Cost data will be captured using an Activity Based Costs method. To estimate the most cost-effective approach, we will calculate incremental cost-effectiveness ratios. A cost projection model will be developed based on most cost-effective approach for nationwide scale-up of the PROMs tool for follow-up of PCa patients in Australia.

Discussion

This study will identify the most cost-effective approach for collecting PROMs from men with PCa, and enable estimation of costs for national implementation of the PCa PROMs survey. The findings will be of interest to other registries embarking on PROMs data collection.

Trial registration

ACTRN12615001369​516 (Registered on December 16, 2015)
Literature
1.
go back to reference Black N. Patient reported outcome measures could help transform healthcare. BMJ (Clinical research ed). 2013;346:f167. Black N. Patient reported outcome measures could help transform healthcare. BMJ (Clinical research ed). 2013;346:f167.
2.
go back to reference Dawson J, Doll H, Fitzpatrick R, Jenkinson C, Carr AJ. The routine use of patient reported outcome measures in healthcare settings. BMJ. 2010;340:c186.CrossRefPubMed Dawson J, Doll H, Fitzpatrick R, Jenkinson C, Carr AJ. The routine use of patient reported outcome measures in healthcare settings. BMJ. 2010;340:c186.CrossRefPubMed
3.
go back to reference Patrick DL, Burke LB, Powers JH, Scott JA, Rock EP, Dawisha S, et al. Patient‐Reported Outcomes to Support Medical Product Labeling Claims: FDA Perspective. Value Health. 2007;10(s2):S125–37.CrossRefPubMed Patrick DL, Burke LB, Powers JH, Scott JA, Rock EP, Dawisha S, et al. Patient‐Reported Outcomes to Support Medical Product Labeling Claims: FDA Perspective. Value Health. 2007;10(s2):S125–37.CrossRefPubMed
4.
go back to reference Coons SJ, Gwaltney CJ, Hays RD, Lundy JJ, Sloan JA, Revicki DA, et al. Recommendations on Evidence Needed to Support Measurement Equivalence between Electronic and Paper‐Based Patient‐Reported Outcome (PRO) Measures: ISPOR ePRO Good Research Practices Task Force Report. Value Health. 2009;12(4):419–29.CrossRefPubMed Coons SJ, Gwaltney CJ, Hays RD, Lundy JJ, Sloan JA, Revicki DA, et al. Recommendations on Evidence Needed to Support Measurement Equivalence between Electronic and Paper‐Based Patient‐Reported Outcome (PRO) Measures: ISPOR ePRO Good Research Practices Task Force Report. Value Health. 2009;12(4):419–29.CrossRefPubMed
5.
go back to reference Chen J, Ou L, Hollis SJ. A systematic review of the impact of routine collection of patient reported outcome measures on patients, providers and health organisations in an oncologic setting. BMC Health Serv Res. 2013;13(1):1–24.CrossRef Chen J, Ou L, Hollis SJ. A systematic review of the impact of routine collection of patient reported outcome measures on patients, providers and health organisations in an oncologic setting. BMC Health Serv Res. 2013;13(1):1–24.CrossRef
6.
go back to reference Fan W, Yan Z. Factors affecting response rates of the web survey: A systematic review. Comput Human Behav. 2010;26:132–9.CrossRef Fan W, Yan Z. Factors affecting response rates of the web survey: A systematic review. Comput Human Behav. 2010;26:132–9.CrossRef
7.
go back to reference O’Toole BI, Battistutta D, Long A, Crouch K. A comparison of costs and data quality of three health survey methods: mail, telephone and personal home interview. Am J Epidemiol. 1986;124(2):317–28.PubMed O’Toole BI, Battistutta D, Long A, Crouch K. A comparison of costs and data quality of three health survey methods: mail, telephone and personal home interview. Am J Epidemiol. 1986;124(2):317–28.PubMed
8.
go back to reference Kwak N, Radler B. A comparison between mail and web surveys: Response pattern, respondent profile, and data quality. J Off Stat-Stockh. 2002;18(2):257–74. Kwak N, Radler B. A comparison between mail and web surveys: Response pattern, respondent profile, and data quality. J Off Stat-Stockh. 2002;18(2):257–74.
9.
go back to reference Cobanoglu C, Warde B, Moreo PJ. A comparison of mail, fax and web-based survey methods. Int J Mark Res. 2001;43(4):441–52. Cobanoglu C, Warde B, Moreo PJ. A comparison of mail, fax and web-based survey methods. Int J Mark Res. 2001;43(4):441–52.
10.
go back to reference DA Dillman PG, Tortora R, Swift K, Kohrell J, Berck J, Messer BL. Response rate and measurement differences in mixed-mode surveys using mail, telephone, interactive voice response (IVR) and the Internet. Soc Sci Res. 2009;38:1–18.CrossRef DA Dillman PG, Tortora R, Swift K, Kohrell J, Berck J, Messer BL. Response rate and measurement differences in mixed-mode surveys using mail, telephone, interactive voice response (IVR) and the Internet. Soc Sci Res. 2009;38:1–18.CrossRef
11.
go back to reference De Leeuw D. To mix or not to mix data collection modes in surveys. J Off Stat. 2005;21(2):233. De Leeuw D. To mix or not to mix data collection modes in surveys. J Off Stat. 2005;21(2):233.
12.
go back to reference Scott A, Jeon S-H, Joyce CM, Humphreys JS, Kalb G, Witt J, et al. A randomised trial and economic evaluation of the effect of response mode on response rate, response bias, and item non-response in a survey of doctors. BMC Med Res Methodol. 2011;11(1):126.CrossRefPubMedPubMedCentral Scott A, Jeon S-H, Joyce CM, Humphreys JS, Kalb G, Witt J, et al. A randomised trial and economic evaluation of the effect of response mode on response rate, response bias, and item non-response in a survey of doctors. BMC Med Res Methodol. 2011;11(1):126.CrossRefPubMedPubMedCentral
13.
go back to reference Groves P, Kayyali B, Knott D, Van Kuiken S. The ‘big data’revolution in healthcare. McKinsey Quarterly. 2013;2:3. Groves P, Kayyali B, Knott D, Van Kuiken S. The ‘big data’revolution in healthcare. McKinsey Quarterly. 2013;2:3.
14.
go back to reference Hoque DM, Kumari V, Ruseckaite R, Romero L, Evans SM. Impact of clinical registries on quality of patient care and health outcomes: protocol for a systematic review. BMJ open. 2016;6(4):e010654. Hoque DM, Kumari V, Ruseckaite R, Romero L, Evans SM. Impact of clinical registries on quality of patient care and health outcomes: protocol for a systematic review. BMJ open. 2016;6(4):e010654.
16.
go back to reference Lannin NA, Anderson C, Lim J, Paice K, Price C, Faux S, et al. Telephone follow-up was more expensive but more efficient than postal in a national stroke registry. J Clin Epidemiol. 2013;66(8):896–902. Lannin NA, Anderson C, Lim J, Paice K, Price C, Faux S, et al. Telephone follow-up was more expensive but more efficient than postal in a national stroke registry. J Clin Epidemiol. 2013;66(8):896–902.
17.
go back to reference Gabbe B, Sutherland A, Hart M, Cameron P. Population-based capture of long term functional and quality of life outcomes following major trauma- the experiences of the Victorian State Trauma Registry. J Trauma. 2010;69(3):532–6.CrossRefPubMed Gabbe B, Sutherland A, Hart M, Cameron P. Population-based capture of long term functional and quality of life outcomes following major trauma- the experiences of the Victorian State Trauma Registry. J Trauma. 2010;69(3):532–6.CrossRefPubMed
18.
go back to reference Franklin PD, Lewallen D, Bozic K, Hallstrom B, Jiranek W, Ayers DC. Implementation of patient-reported outcome measures in US total joint replacement registries: rationale, status, and plans. J Bone Joint Surg Am. 2014;96(Supplement 1):104–9.CrossRefPubMedPubMedCentral Franklin PD, Lewallen D, Bozic K, Hallstrom B, Jiranek W, Ayers DC. Implementation of patient-reported outcome measures in US total joint replacement registries: rationale, status, and plans. J Bone Joint Surg Am. 2014;96(Supplement 1):104–9.CrossRefPubMedPubMedCentral
19.
go back to reference Breckenridge K, Bekker HL, Gibbons E, van der Veer SN, Abbott D, Briançon S, et al. How to routinely collect data on patient-reported outcome and experience measures in renal registries in Europe: an expert consensus meeting. Nephrol Dial Transplant. 2015;30(10):1605–14.CrossRefPubMedPubMedCentral Breckenridge K, Bekker HL, Gibbons E, van der Veer SN, Abbott D, Briançon S, et al. How to routinely collect data on patient-reported outcome and experience measures in renal registries in Europe: an expert consensus meeting. Nephrol Dial Transplant. 2015;30(10):1605–14.CrossRefPubMedPubMedCentral
20.
go back to reference Basch E, Torda P, Adams K. Standards for patient-reported outcome-based performance measures. JAMA. 2013;310(2):139–40.CrossRefPubMed Basch E, Torda P, Adams K. Standards for patient-reported outcome-based performance measures. JAMA. 2013;310(2):139–40.CrossRefPubMed
21.
go back to reference Parks KA, Pardi AM, Bradizza CM. Collecting data on alcohol use and alcohol-related victimization: a comparison of telephone and Web-based survey methods. J Stud Alcohol. 2006;67(2):318–23.CrossRefPubMed Parks KA, Pardi AM, Bradizza CM. Collecting data on alcohol use and alcohol-related victimization: a comparison of telephone and Web-based survey methods. J Stud Alcohol. 2006;67(2):318–23.CrossRefPubMed
22.
go back to reference Shih T-H, Fan X. Comparing response rates in e-mail and paper surveys: a meta-analysis. Educ Res Rev. 2009;4(1):26–40.CrossRef Shih T-H, Fan X. Comparing response rates in e-mail and paper surveys: a meta-analysis. Educ Res Rev. 2009;4(1):26–40.CrossRef
23.
go back to reference Haglind E, Carlsson S, Stranne J, Wallerstedt A, Wilderäng U, Thorsteinsdottir T, et al. Urinary incontinence and erectile dysfunction after robotic versus open radical prostatectomy: a prospective, controlled, nonrandomised trial. Eur Urol. 2015;68(2):216–25.CrossRefPubMed Haglind E, Carlsson S, Stranne J, Wallerstedt A, Wilderäng U, Thorsteinsdottir T, et al. Urinary incontinence and erectile dysfunction after robotic versus open radical prostatectomy: a prospective, controlled, nonrandomised trial. Eur Urol. 2015;68(2):216–25.CrossRefPubMed
24.
go back to reference Thorsteinsdottir T, Stranne J, Carlsson S, Anderberg B, Björholt I, Damber J-E, et al. LAPPRO: a prospective multicentre comparative study of robot-assisted laparoscopic and retropubic radical prostatectomy for prostate cancer. Scand J Urol Nephrol. 2011;45(2):102–12.CrossRefPubMed Thorsteinsdottir T, Stranne J, Carlsson S, Anderberg B, Björholt I, Damber J-E, et al. LAPPRO: a prospective multicentre comparative study of robot-assisted laparoscopic and retropubic radical prostatectomy for prostate cancer. Scand J Urol Nephrol. 2011;45(2):102–12.CrossRefPubMed
25.
go back to reference Hocking JSLM, Read T. Postal surveys of physicians gave superior response rates over telephone interviews in a randomized trial. J Clin Epidemiol. 2006;59:521–4.CrossRefPubMed Hocking JSLM, Read T. Postal surveys of physicians gave superior response rates over telephone interviews in a randomized trial. J Clin Epidemiol. 2006;59:521–4.CrossRefPubMed
26.
go back to reference Aki EAMN, Klocke RA. Electronic mail was not better than postal mail for surveying residents and faculty. J Clin Epidemiol. 2005;58:425–9.CrossRef Aki EAMN, Klocke RA. Electronic mail was not better than postal mail for surveying residents and faculty. J Clin Epidemiol. 2005;58:425–9.CrossRef
27.
go back to reference Rutherford C, Costa D, Mercieca-Bebber R, Rice H, Gabb L, King M. Mode of administration does not cause bias in patient-reported outcome results: a meta-analysis. Qual Life Res. 2015;25(3):559–74. Rutherford C, Costa D, Mercieca-Bebber R, Rice H, Gabb L, King M. Mode of administration does not cause bias in patient-reported outcome results: a meta-analysis. Qual Life Res. 2015;25(3):559–74.
28.
go back to reference Sinclair M, O’Toole J, Malawaraarachchi M, Leder K. Comparison of response rates and cost-effectiveness for a community-based survey: postal, internet and telephone modes with generic or personalised recruitment approaches. BMC Med Res Methodol. 2012;12(1):132.CrossRefPubMedPubMedCentral Sinclair M, O’Toole J, Malawaraarachchi M, Leder K. Comparison of response rates and cost-effectiveness for a community-based survey: postal, internet and telephone modes with generic or personalised recruitment approaches. BMC Med Res Methodol. 2012;12(1):132.CrossRefPubMedPubMedCentral
29.
go back to reference Szymanski KM, Wei JT, Dunn RL, Sanda MG. Development and validation of an abbreviated version of the expanded prostate cancer index composite instrument for measuring health-related quality of life among prostate cancer survivors. Urology. 2010;76(5):1245–50.CrossRefPubMedPubMedCentral Szymanski KM, Wei JT, Dunn RL, Sanda MG. Development and validation of an abbreviated version of the expanded prostate cancer index composite instrument for measuring health-related quality of life among prostate cancer survivors. Urology. 2010;76(5):1245–50.CrossRefPubMedPubMedCentral
31.
go back to reference Evans S, Nag N, Roder DM, Brooks A, Millar J, Moretti K, et al. Development of an International Prostate Cancer Outcomes Registry. BJU Int. 2015;doi:10.1111/bju.13258. Evans S, Nag N, Roder DM, Brooks A, Millar J, Moretti K, et al. Development of an International Prostate Cancer Outcomes Registry. BJU Int. 2015;doi:10.​1111/​bju.​13258.
33.
go back to reference Baker JJ. Activity-based costing and activity-based management for health care: Jones & Bartlett Learning. 1998. Baker JJ. Activity-based costing and activity-based management for health care: Jones & Bartlett Learning. 1998.
34.
go back to reference Evans SM, Millar JL, Wood JM, Davis ID, Bolton D, Giles GG, et al. The Prostate Cancer Registry: monitoring patterns and quality of care for men diagnosed with prostate cancer. BJU Int. 2013;111(4b):E158–66.CrossRefPubMed Evans SM, Millar JL, Wood JM, Davis ID, Bolton D, Giles GG, et al. The Prostate Cancer Registry: monitoring patterns and quality of care for men diagnosed with prostate cancer. BJU Int. 2013;111(4b):E158–66.CrossRefPubMed
37.
go back to reference Support ST. Stata Statistical Software: Release 13. College Station: StataCorp LP. StataCorp; 2013. Support ST. Stata Statistical Software: Release 13. College Station: StataCorp LP. StataCorp; 2013.
38.
go back to reference Lachin JM, Matts JP, Wei L. Randomization in clinical trials: conclusions and recommendations. Control Clin Trials. 1988;9(4):365–74.CrossRefPubMed Lachin JM, Matts JP, Wei L. Randomization in clinical trials: conclusions and recommendations. Control Clin Trials. 1988;9(4):365–74.CrossRefPubMed
39.
go back to reference Detry MA, Lewis RJ. The intention-to-treat principle: how to assess the true effect of choosing a medical treatment. JAMA. 2014;312(1):85–6.CrossRefPubMed Detry MA, Lewis RJ. The intention-to-treat principle: how to assess the true effect of choosing a medical treatment. JAMA. 2014;312(1):85–6.CrossRefPubMed
40.
go back to reference Sedgwick P. Per protocol analysis. BMJ. 2010;340:c1825. Sedgwick P. Per protocol analysis. BMJ. 2010;340:c1825.
41.
go back to reference Edejer TT, Baltussen RM, Adam T, Hutubessy R, Acharya A, Evans DB, Murray CJ. WHO guide to cost-effectiveness analysis. Geneva: World Health Organization; 2003. Edejer TT, Baltussen RM, Adam T, Hutubessy R, Acharya A, Evans DB, Murray CJ. WHO guide to cost-effectiveness analysis. Geneva: World Health Organization; 2003.
42.
go back to reference Drummond MF, Sculpher MJ, Claxton K, Stoddart GL, Torrance GW. Methods for the economic evaluation of health care programmes. Oxford university press; 2015. Drummond MF, Sculpher MJ, Claxton K, Stoddart GL, Torrance GW. Methods for the economic evaluation of health care programmes. Oxford university press; 2015.
Metadata
Title
Study protocol of an equivalence randomized controlled trial to evaluate the effectiveness of three different approaches to collecting Patient Reported Outcome Measures (PROMs) data using the Prostate Cancer Outcomes Registry-Victoria (PCOR-VIC)
Authors
Dewan Md Emdadul Hoque
Fanny Sampurno
Rasa Ruseckaite
Paula Lorgelly
Sue M. Evans
Publication date
01-12-2017
Publisher
BioMed Central
Published in
BMC Health Services Research / Issue 1/2017
Electronic ISSN: 1472-6963
DOI
https://doi.org/10.1186/s12913-017-1981-1

Other articles of this Issue 1/2017

BMC Health Services Research 1/2017 Go to the issue