Abstract
Background
Assessing the validity of generic instruments across different clinical contexts is an important area of methodological research in economic evaluation and outcomes measurement.
Objective
Our objective was to examine the empirical validity of a generic, preference-based capability wellbeing instrument (ICECAP-A) in the context of spinal cord injury.
Methods
This study consisted of a secondary analysis of data collected using an online cross-sectional survey. The survey included questions regarding demographics, injury classifications and characteristics, secondary health conditions, quality of life and wellbeing, and functioning in activities of daily living. Analysis comprised the descriptive assessment of Spearman’s rank correlations between item-/dimension-level data for the ICECAP-A and four preference-based health-related quality of life (HRQoL) instruments, and discriminant and convergent validity approaches to examine 21 evidence-informed or theoretically derived constructs. Constructs were defined using participant and injury characteristics and responses to a range of health, wellbeing and functioning outcomes.
Results
Three hundred sixty-four individuals completed the survey. Mean index score for the ICECAP-A was 0.761; 12 (3%) individuals reported full capability (upper anchor; score = 1), and there were no reports of zero capabilities (lower anchor; score = 0). The strongest correlations were dominated by items and dimensions on the comparator (HRQoL) instruments that are non-health aspects of quality of life, such as happiness and control over one’s life (including self-care). Of 21 hypothesised constructs, 19 were confirmed in statistical tests, the exceptions being the exploratory hypotheses regarding education and age at injury.
Conclusion
The ICECAP-A is an empirically valid outcome measure for assessing capability wellbeing in people with spinal cord injury living in a community setting. The extent to which the ICECAP-A provides complementary information to preference-based HRQoL instruments is dependent on the comparator.
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Notes
(1) A literal, non-technical interpretation of the QALY is that of a metric that weights periods of survival by a quality-adjustment factor. Within an extra-welfarist approach, which underpins much of current practice in economic evaluation, the quality-adjustment factor is often health related [4, 5]. Indeed, a popular school of thought is that extra-welfarism replaces ‘utility’ (the evaluative space under welfarist economics) with ‘health’ [6]. Brouwer and colleagues [4, 7] reject the idea that extra-welfarism imposes a restrictive conceptualisation of outcomes, instead proposing that it provides a more general framework for analysis, allowing elements other than utility—such as indicators of health and wellbeing (i.e., the ‘extras’ in extra-welfarism)—to be incorporated.
(2) The statement, “there is nothing inherently … generic about the QALY” is recognition of the availability of condition-specific outcome measures that can be used to construct (condition-specific) QALYs [8,9,10].
Some of the studies described as ‘general population’ in the review by Afentou and Kinghorn [44] used data from the Multi Instrument Comparison (MIC) study (http://www.aqol.com.au/index.php/aqol-current). Quota sampling was used in the MIC study to obtain a target number of respondents in each of seven disease areas (arthritis, asthma, cancer, depression, diabetes, hearing loss and heart disease) and a demographically representative sample of ‘healthy’ participants.
References
Canadian Agency for Drugs and Technologies in Health. Guidelines for the economic evaluation of health technologies: Canada (4th ed.). Ottawa: Canadian Agency for Drugs and Technologies in Health. 2017. https://www.cadth.ca/sites/default/files/pdf/guidelines_for_the_economic_evaluation_of_health_technologies_canada_4th_ed.pdf. Accessed 6 Aug 2020.
National Institute for Health and Care Excellence. Guide to the methods of technology appraisal 2013. London: National Institute for Health and Care Excellence. 2013. https://www.nice.org.uk/process/pmg9/resources/guide-to-the-methods-of-technology-appraisal-2013-pdf-2007975843781. Accessed 6 Aug 2020.
Pharmaceutical Benefits Advisory Committee. Guidelines for preparing submissions to the Pharmaceutical Benefits Advisory Committee (Version 5.0). Canberra: Pharmaceutical Benefits Advisory Committee. 2016. https://pbac.pbs.gov.au/content/information/files/pbac-guidelines-version-5.pdf. Accessed 6 Aug 2020.
Brouwer WBF, Culyer AJ, van Exel NJA, Rutten FFH. Welfarism vs. extra-welfarism. J Health Econ. 2008;27(2):325–38.
Coast J, Smith R, Lorgelly P. Should the capability approach be applied in Health Economics? Health Econ. 2008;17(6):667–70.
Hurley J. Welfarism, extra-welfarism and evaluative economic analysis in the health care sector. In: Barer ML, Getzen TE, Stoddard GL, editors. Health, health care and health economics: perspectives on distribution. Chichester: Wiley; 1998.
Brouwer WB, Koopmanschap MA. On the economic foundations of CEA. Ladies and gentlemen, take your positions! J Health Econ. 2000;19(4):439–59.
Brazier JE, Rowen D, Mavranezouli I, Tsuchiya A, Young T, Yang Y, et al. Developing and testing methods for deriving preference-based measures of health from condition-specific measures (and other patient-based measures of outcome). Health Technol Assess. 2012;16(32):1–114.
Brazier J, Tsuchiya A. Preference-based condition-specific measures of health: what happens to cross programme comparability? Health Econ. 2010;19(2):125–9.
Goodwin E, Green C. A systematic review of the literature on the development of condition-specific preference-based measures of health. Appl Health Econ Health Policy. 2016;14(2):161–83.
Richardson J, McKie J, Bariola E. Multiattribute utility instruments and their use. In: Culyer AJ, editor. Encyclopedia of health economics. San Diego: Elsevier; 2014. p. 341–57.
Devlin NJ, Brooks R. EQ-5D and the EuroQol group: past, present and future. Appl Health Econ Health Policy. 2017;15(2):127–37.
Poder TG, Gandji EW. SF6D value sets: a systematic review. Value in Health. 2016;19(3):A282.
Neuman PJ, Goldie SJ, Weinstein MC. Preference-based measures in economic evaluation in health care. Annu Rev Public Health. 2000;21:587–611.
Brazier JE, Ratcliffe J, Saloman J, Tsuchiya A. Measuring and valuing health benefits for economic evaluation. 2nd ed. Oxford: Oxford University Press; 2017.
Furlong WJ, Feeny DH, Torrance GW, Barr RD. The Health Utilities Index (HUI) system for assessing health-related quality of life in clinical studies. Ann Med. 2001;33(5):375–84.
Brooks R. EuroQol: the current state of play. Health Policy. 1996;37(1):53–72.
Herdman M, Gudex C, Lloyd A, Janssen M, Kind P, Parkin D, et al. Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Qual Life Res. 2011;20(10):1727–36.
Hawthorne G, Richardson J, Osborne R. The Assessment of Quality of Life (AQoL) instrument: a psychometric measure of health-related quality of life. Qual Life Res. 1999;8(3):209–24.
Misajon RA, Hawthorne G, Richardson J, Barton J, Peacock S, Iezzi A, et al. Vision and quality of life: the development of a utility measure. Invest Ophthalmol Vis Sci. 2005;46(11):4007–15.
Richardson JRJ, Peacock SJ, Hawthorne G, Iezzi A, Elsworth G, Day NA. Construction of the descriptive system for the assessment of quality of life AQoL-6D utility instrument. Health Qual Life Outcomes. 2012;10:38.
Richardson J, Iezzi A, Khan MA, Maxwell A. Validity and reliability of the assessment of quality of life (AQoL)-8D multi-attribute utility instrument. Patient. 2014;7(1):85–96.
Mooney G. Beyond health outcomes: the benefits of health care. Health Care Anal. 1998;6(2):99–105.
Ryan M, Shackley P. Assessing the benefits of health care: how far should we go? Quality in Health Care. 1995;4(3):207–13.
Netten A, Burge P, Malley J, Potoglou D, Towers AM, Brazier J, et al. Outcomes of social care for adults: developing a preference-weighted measure. Health Technol Assess. 2012;16(16):1–165.
Personal Social Services Research Unit. Which ASCOT tool should I use? https://www.pssru.ac.uk/ascot/tools/. Accessed 6 Aug 2020.
Coast J, Flynn T, Sutton E, Al-Janabi H, Vosper J, Lavender S, et al. Investigating Choice Experiments for Preferences of Older People (ICEPOP): evaluative spaces in health economics. J Health Serv Res Policy. 2008;13(Suppl 3):31–7.
Connell J, Carlton J, Peasgood T, Mukuria C, Brazier J, Augustovski F, et al. Extending the QALY: developing and testing the proposed items for a new generic measure—results from qualitative review and face validity with patients, social care users and carers. Qual Life Res. 2018;27(Suppl 1):S189.
School of Health and Related Research, University of Sheffield (UK). Extending the QALY. https://scharr.dept.shef.ac.uk/e-qaly/. Accessed 6 Aug 2020.
Sen A. Capability and well-being. In: Nussbaumn M, Sen A, editors. The quality of life. Oxford: Oxford University Press; 1993. p. 30–53.
Al-Janabi H. Do capability and functioning differ? A study of U.K. survey responses. Health Econ. 2018;27(3):465–79.
Grewal I, Lewis J, Flynn T, Brown J, Bond J, Coast J. Developing attributes for a generic quality of life measure for older people: preferences or capabilities? Soc Sci Med. 2006;62(8):1891–901.
Al-Janabi H, Flynn TN, Coast J. Development of a self-report measure of capability wellbeing for adults: the ICECAP-A. Qual Life Res. 2012;21(1):167–76.
Sutton EJ, Coast J. Development of a supportive care measure for economic evaluation of end-of-life care using qualitative methods. Palliat Med. 2014;28(2):151–7.
Canaway A, Al-Janabi H, Kinghorn P, Bailey C, Coast J. Development of a measure (ICECAP-Close Person Measure) through qualitative methods to capture the benefits of end-of-life care to those close to the dying for use in economic evaluation. Palliat Med. 2017;31(1):53–62.
Coast J. Assessing capability in economic evaluation: a life course approach? Eur J Health Econ. 2019;20(6):779–84.
Flynn T, Huynh E, Peters TJ, Al-Janabi H, Clemens S, Moody A, et al. Scoring the ICECAP-A capability instrument. Estimation of a UK general population tariff. Health Econ. 2015;24(3):258–69.
Coast J, Flynn TN, Natarajan L, Sproston K, Lewis J, Louviere JJ, et al. Valuing the ICECAP capability index for older people. Soc Sci Med. 2008;67(5):874–82.
Coast J, Smith RD, Lorgelly P. Welfarism, extra-welfarism and capability: the spread of ideas in health economics. Soc Sci Med. 2008;67(7):1190–8.
Krucien N, Watson V, Ryan M. Is Best-Worst Scaling Suitable for Health State Valuation? A Comparison with Discrete Choice Experiments. Health Econ. 2017;26(12):e1–16.
Mitchell PM, Roberts TE, Barton PM, Coast J. Assessing sufficient capability: a new approach to economic evaluation. Soc Sci Med. 2015;139:71–9.
National Institute for Health and Care Excellence. The social care guidance manual. London: National Institute for Health and Care Excellence. 2013. https://www.nice.org.uk/process/pmg10/resources/the-social-care-guidance-manual-pdf-72286648234693. Accessed 6 Aug 2020.
Zorginstituut Nederland. Guideline for economic evaluations in healthcare. Diemen: Zorginstituut Nederland. 2016. https://english.zorginstituutnederland.nl/publications/reports/2016/06/16/guideline-for-economic-evaluations-in-healthcare. Accessed 6 Aug 2020.
Afentou N, Kinghorn P. A systematic review of the feasibility and psychometric properties of the ICEpop CAPability measure for adults and its use so far in economic evaluation. Value Health. 2020;23(4):515–26.
Al-Janabi H, Keeley T, Mitchell P, Coast J. Can capabilities be self-reported? A think aloud study. Soc Sci Med. 2013;87:116–22.
Engel L, Mortimer D, Bryan S, Lear SA, Whitehurst DGT. An investigation of the overlap between the ICECAP-A and five preference-based health-related quality of life instruments. PharmacoEconomics. 2017;35(7):741–53.
Al-Janabi H, Peters TJ, Brazier J, Bryan S, Flynn TN, Clemens S, et al. An investigation of the construct validity of the ICECAP-A capability measure. Qual Life Res. 2013;22(7):1831–40.
Chen G, Ratcliffe J, Kaambwa B, McCaffrey N, Richardson J. Empirical comparison between capability and two health-related quality of life measures. Soc Indic Res. 2018;140(1):175–90.
Richardson J, Iezzi A, Khan MA, Chen G, Maxwell A. Measuring the sensitivity and construct validity of 6 utility instruments in 7 disease areas. Med Decis Mak. 2016;36(2):147–59.
Al-Janabi H, Flynn T, Peters T, Bryan S, Coast J. Test-retest reliability of capability measurement in the UK population. Health Econ. 2015;19(11):1300–17.
Goranitis I, Coast J, Al-Janabi H, Latthe P, Roberts TE. The validity and responsiveness of the ICECAP-A capability-well-being measure in women with irritative lower urinary tract symptoms. Qual Life Res. 2016;25(8):2063–75.
Keeley T, Al-Janabi H, Nicholls E, Foster NE, Jowett S, Coast J. A longitudinal assessment of the responsiveness of the ICECAP-A in a randomised controlled trial of a knee pain intervention. Qual Life Res. 2015;24(10):2319–31.
Keeley T, Coast J, Nicholls E, Foster NE, Jowett S, Al-Janabi H. An analysis of the complementarity of ICECAP-A and EQ-5D-3 L in an adult population of patients with knee pain. Health Qual Life Outcomes. 2016;14:36.
Engel L, Chen G, Richardson J, Mihalopoulos C. The impact of depression on health-related quality of life and wellbeing: identifying important dimensions and assessing their inclusion in multi-attribute utility instruments. Qual Life Res. 2018;27(11):2873–84.
Mitchell PM, Al-Janabi H, Byford S, Kuyken W, Richardson J, Iezzi A, et al. Assessing the validity of the ICECAP-A capability measure for adults with depression. BMC Psychiatry. 2017;17(1):1–13.
Goranitis I, Coast J, Day E, Copello A, Freemantle N, Seddon J, et al. Measuring health and broader well-being benefits in the context of opiate dependence: the Psychometric Performance of the ICECAP-A and the EQ-5D-5L. Value in Health. 2016;19(6):820–8.
Engel L, Bryan S, Noonan VK, Whitehurst DGT. Using path analysis to investigate the relationships between standardized instruments that measure health-related quality of life, capability wellbeing and subjective wellbeing: an application in the context of spinal cord injury. Soc Sci Med. 2018;213:154–64.
Strauss DJ, DeVivo MJ, Paculdo DR, Shavelle RM. Trends in life expectancy after spinal cord injury. Arch Phys Med Rehabil. 2006;87(8):1079–85.
Cobb J, Dumont FS, Leblond J, Park SE, Noonan VK, Noreau L. An exploratory analysis of the potential association between SCI secondary health conditions and daily activities. Topics Spinal Cord lnj Rehabil. 2014;20(4):277–88.
Rivers CS, Fallah N, Noonan VK, Whitehurst DG, Schwartz CE, Finkelstein JA, et al. Health conditions: effect on function, health-related quality of life, and life satisfaction after traumatic spinal cord injury. A prospective observational Registry Cohort Study. Arch Phys Med Rehabil. 2018;99(3):443–51.
Jang Y, Hsieh CL, Wang YH, Wu YH. A validity study of the WHOQOL-BREF assessment in persons with traumatic spinal cord injury. Arch Phys Med Rehabil. 2004;85(11):1890–5.
Bussière C, Sicsic J, Pelletier-Fleury N. Simultaneous effect of disabling conditions on primary health care use through a capability approach. Soc Sci Med. 2016;154:70–84.
Mitra S. The capability approach and disability. J Disabil Policy Stud. 2006;16(4):236–47.
Trani J-F, Bakhshi P, Brown D, Lopez D, Gall F. Disability as deprivation of capabilities: estimation using a large-scale survey in Morocco and Tunisia and an instrumental variable approach. Soc Sci Med. 2018;211:48–60.
Anand P, Dolan P. Equity, capabilities and health. Soc Sci Med. 2005;60(2):219–22.
Engel L, Bryan S, Evers SMAA, Dirksen CD, Noonan VK, Whitehurst DGT. Exploring psychometric properties of the SF-6D, a preference-based health-related quality of life measure, in the context of spinal cord injury. Qual Life Res. 2014;23(8):2383–93.
Michel YA, Engel L, Rand-Hendriksen K, Augestad LA, Whitehurst DGT. “When I saw walking I just kind of took it as wheeling”: interpretations of mobility-related items in generic, preference-based health state instruments in the context of spinal cord injury. Health Qual Life Outcomes. 2016;14:164.
Whitehurst DGT, Suryaprakash N, Engel L, Mittmann N, Noonan VK, Dvorak MFS, et al. Perceptions of individuals living with spinal cord injury toward preference-based quality of life instruments: a qualitative exploration. Health Qual Life Outcomes. 2014;12:50.
Whitehurst DGT, Mittmann N, Noonan VK, Dvorak MF, Bryan S. Health state descriptions, valuations and individuals’ capacity to walk: a comparative evaluation of preference-based instruments in the context of spinal cord injury. Qual Life Res. 2016;25(10):2481–96.
Noreau L, Leblond J, Dumont FS. Spinal cord injury community survey: a National, Comprehensive Study to Portray the Lives of Canadians with Spinal Cord Injury. Topics Spinal Cord lnj Rehabil. 2014;20(4):249–64.
Perreault WD. Controlling Order-Effect Bias. Public Opinion Quarterly. 1975;39(4):544–51.
Xie F, Pullenayegum E, Gaebel K, Bansback N, Bryan S, Ohinmaa A, et al. A time trade-off-derived value set of the EQ-5D-5L for Canada. Med Care. 2016;54(1):98–105.
Feeny D, Furlong W, Torrance GW, Goldsmith CH, Zhu Z, DePauw Sonja, Denton M, et al. Multiattribute and single-attribute utility functions for the health utilities index mark 3 system. Med Care. 2002;40(2):113–28.
Brazier J, Roberts J, Deverill M. The estimation of a preference-based measure from the SF-36. J Health Econ. 2002;21(2):271–92.
Brazier J, Rowen D, Hanmer J. Revised SF-6D scoring programmes: a summary of improvements. PRO Newslett. 2008;40:14–5.
Ware JE, Kosinski M, Bjorner JB, Turner-Bowker DM, Gandek B, Maruish ME. User’s manual for the SF-36v2TM health survey. Lincoln, RI. 2007.
Statistics Canada. Canadian Community Health Survey (CCHS). Annual Component—2010 Questionnaire. 2010.
Kalpakjian CZ, Scelza WM, Forchheimer MB, Toussaint LL. Preliminary reliability and validity of a spinal cord injury secondary conditions scale. J Spinal Cord Med. 2007;30(2):131–9.
Catz A, Itzkovich M, Tesio L, Biering-Sørensen F, Weeks C, Laramee MT, et al. A multicenter international study on the spinal cord independence measure, version III: rasch psychometric validation. Spinal Cord. 2007;45(4):275–91.
Fekete C, Eriks-Hoogland I, Baumberger M, Catz A, Itzkovich M, Lüthi H, et al. Development and validation of a self-report version of the Spinal Cord Independence Measure (SCIM III). Spinal Cord. 2013;51(1):40–7.
Terwee CB, Bot SDM, de Boer MR, van der Windt DAWM, Knol DL, Dekker J, et al. Quality criteria were proposed for measurement properties of health status questionnaires. J Clin Epidemiol. 2007;60(1):34–42.
Putzke JD, Richards JS, Hicken BL, DeVivo MJ. Predictors of life satisfaction: a spinal cord injury cohort study. Arch Phys Med Rehabil. 2002;83(4):555–61.
van Leeuwen CMC, Kraaijeveld S, Lindeman E, Post MWM. Associations between psychological factors and quality of life ratings in persons with spinal cord injury: a systematic review. Spinal Cord. 2012;50(3):174–87.
Kreuter M, Siösteen A, Erkholm B, Byström U, Brown DJ. Health and quality of life of persons with spinal cord lesion in Australia and Sweden. Spinal Cord. 2005;43(2):123–9.
van Leeuwen CMC, Post MW, Westers P, Van Der Woude LH, De Groot S, Sluis T, et al. Relationships between activities, participation, personal factors, mental health, and life satisfaction in persons with spinal cord injury. Arch Phys Med Rehabil. 2012;93(1):82–9.
Dijkers M. Quality of life after spinal cord injury: a meta analysis of the effects of disablement components. Spinal Cord. 1997;35(12):829–40.
Chang FH, Wang YH, Jang Y, Wang CW. Factors associated with quality of life among people with spinal cord injury: application of the international classification of functioning, disability and health model. Arch Phys Med Rehabil. 2012;93(12):2264–70.
Barker RN, Kendall MD, Amsters DI, Pershouse KJ, Haines TP, Kuipers P. The relationship between quality of life and disability across the lifespan for people with spinal cord injury. Spinal Cord. 2009;47(2):149–55.
Post MWM, De Witte LP, Van Asbeck FWA, Van Dijk AJ, Schrijvers AJP. Predictors of health status and life satisfaction in spinal cord injury. Arch Phys Med Rehabil. 1998;79(4):395–401.
Dijkers MPJ. Correlates of Life Satisfaction Among Persons With Spinal Cord Injury. Arch Phys Med Rehabil. 1999;80(8):867–76.
Adriaansen JJE, Ruijs LEM, Van Koppenhagen CF, Van Asbeck FWA, Snoek GJ, Van Kuppevelt D, et al. Secondary health conditions and quality of life in persons living with spinal cord injury for at least ten years. J Rehabil Med. 2016;48(10):853–60.
Gurcay E, Bal A, Eksioglu E, Cakci A. Quality of life in patients with spinal cord injury. Int J Rehabil Res. 2010;33(4):356–8.
Hackert MQN, van Exel J, Brouwer WBF. Valid outcome measures in care for older people: comparing the ASCOT and the ICECAP-O. Value Health. 2017;20(7):936–44.
Coast J, Peters TJ, Natarajan L, Sproston K, Flynn T. An assessment of the construct validity of the descriptive system for the ICECAP capability measure for older people. Qual Life Res. 2008;17(7):967–76.
Davis JC, Liu-Ambrose T, Richardson CG, Bryan S. A comparison of the ICECAP-O with EQ-5D in a falls prevention clinical setting: are they complements or substitutes? Qual Life Res. 2013;22(5):969–77.
Geyh S, Ballert C, Sinnott A, Charlifue S, Catz A, D’Andrea Greve JM, et al. Quality of life after spinal cord injury: a comparison across six countries. Spinal Cord. 2013;51(4):322–6.
McColl MA, Arnold R, Charlifue S, Glass C, Savic G, Frankel H. Aging, spinal cord injury, and quality of life: structural relationships. Arch Phys Med Rehabil. 2003;84(8):1137–44.
Westgren N, Levi R. Quality of life and traumatic spinal cord injury. Arch Phys Med Rehabil. 1998;79(11):1433–9.
Vogel LD, Krajci KA, Anderson C. Adults with pediatric-onset spinal cord injuries: part 3: impact of medical complications. J Spinal Cord Med. 2002;25(4):297–305.
Haran MJ, Lee BB, King MT, Marial O, Stockler MR. Health status rated with the medical outcomes study 36-item short-form health survey after spinal cord injury. Arch Phys Med Rehabil. 2005;86(12):2290–5.
Craven C, Hitzig SL, Mittmann N. Impact of impairment and secondary health conditions on health preference among Canadians with chronic spinal cord injury. J Spinal Cord Med. 2012;35(5):361–70.
Jörgensen S, Hedgren L, Sundelin A, Lexell J. Global and domain-specific life satisfaction among older adults with long-term spinal cord injury. J Spinal Cord Med. 2019. https://doi.org/10.1080/10790268.2019.1610618.
Leduc BE, Lepage Y. Health-related quality of life after spinal cord injury. Disabil Rehabil. 2002;24(4):196–202.
Holicky R, Charlifue S. Ageing and spinal cord injury: the impact of spousal support. Disabil Rehabil. 1999;21(5–6):250–7.
Putzke JD, Elliott TR, Richards JS. Marital status and adjustment 1 year post-spinal-cord-injury. J Clin Psychol Med Settings. 2001;8(2):101–7.
McColl MA, Stirling P, Walker J, Corey P, Wilkins R. Expectations of independence and life satisfaction among ageing spinal cord injured adults. Disabil Rehabil. 1999;21(5–6):231–40.
Clayton KS, Chubon RA. Factors associated with the quality of life of long-term spinal cord injured persons. Arch Phys Med Rehabil. 1994;75(6):633–8.
Fekete C, Siegrist J, Reinhardt JD, Brinkhof MWG. Is Financial Hardship Associated with Reduced Health in Disability? The Case of Spinal Cord Injury in Switzerland. PLoS One. 2014;9(2):e90130.
Iorio-Morin C, Noonan VK, White B, Noreau L, Leblond J, Dumont FS, et al. Quality of life and health utility scores among Canadians living with traumatic spinal cord injury—a national cross-sectional study. Spine. 2018;43(14):999–1006.
Elfström ML, Rydén A, Kreuter M, Taft C, Sullivan M. Relations between coping strategies and health-related quality of life in patients with spinal cord lesion. J Rehabil Med. 2005;37(1):9–16.
Krause JS. Aging and life adjustment after spinal cord injury. Spinal Cord. 1998;36(5):320–8.
Post MWM, Reinhardt JD. Participation and life satisfaction in aged people with spinal cord injury: does age at onset make a difference? Topics Spinal Cord Inj Rehabil. 2015;21(3):233–40.
Stensman R. Adjustment to traumatic spinal cord injury. A longitudinal study of self-reported quality of life. Paraplegia. 1994;32(6):416–22.
Zeileis A. Econometric computing with HC and HAC covariance matrix estimators. J Stat Softw. 2004;11(10):1–17.
Streiner DL, Norman GR, Cairney J. Health measurement scales: a practical guide to their development and use. 5th ed. New York: Oxford University Press; 2015.
Richardson J, Khan MA, Iezzi A, Maxwell A. Comparing and explaining differences in the magnitude, content, and sensitivity of utilities predicted by the EQ-5D, SF-6D, HUI 3, 15D, QWB, and AQoL-8D multiattribute utility instruments. Med Decis Making. 2015;35(3):276–91.
Richardson J, Iezzi A, Khan MA. Why do multi-attribute utility instruments produce different utilities: the relative importance of the descriptive systems, scale and ‘micro-utility’ effects. Qual Life Res. 2015;24(8):2045–53.
R Core Team. R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing; 2019.
Shrout PE. Measurement reliability and agreement. Stat Methods Med Res. 1998;7(3):301–17.
Kinghorn P. Using deliberative methods to establish a sufficient state of capability well-being for use in decision-making in the contexts of public health and social care. Soc Sci Med. 2019;240:112546.
Mitchell PM, Al-Janabi H, Richardson J, Iezzi A, Coast J. The relative impacts of disease on health status and capability wellbeing: a multi-country study. PLoS One. 2015;10(12):e0143590.
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Financial support for this study was through a grant from the Rick Hansen Institute (Rick Hansen Institute Translational Research Program, grant #2012-29: Spinal Cord Injury & Secondary Complications: A Mixed-Methods Evaluation of Preference-Based Instruments). The funding agreement ensured the research team’s independence in designing the study, interpreting the data, and writing and publishing manuscripts. We would also like to thank the Office of the Vice-President, Research at Simon Fraser University for the Undergraduate Student Research Award for CM, and Health Utilities Inc. for the New Investigator Grant awarded to DGTW.
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DGTW and SB are members of the EuroQol Group Association. CM, VKN, SB, and DGTW have no further conflicts of interest that are directly relevant to the content of this article.
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The study was approved by the University of British Columbia Behavioural Research Ethics Board (H12-01138) and Vancouver Coastal Health Authority (#V12-01138).
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VKN, SB and DGTW were investigators for the primary study. CM and DGTW designed the secondary analysis plan, performed data analysis and drafted the original manuscript. All authors were involved in the interpretation of results, review of the draft manuscript, and read and approved the final version.
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Mah, C., Noonan, V.K., Bryan, S. et al. Empirical Validity of a Generic, Preference-Based Capability Wellbeing Instrument (ICECAP-A) in the Context of Spinal Cord Injury. Patient 14, 223–240 (2021). https://doi.org/10.1007/s40271-020-00451-6
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DOI: https://doi.org/10.1007/s40271-020-00451-6