Skip to main content
Top
Published in: Population Health Metrics 1/2017

Open Access 01-12-2017 | Research

Establishing disability weights for congenital pediatric surgical conditions: a multi-modal approach

Authors: D. Poenaru, J. Pemberton, C. Frankfurter, B. H. Cameron, E. Stolk

Published in: Population Health Metrics | Issue 1/2017

Login to get access

Abstract

Background

Burden of disease (BoD) as measured by Disability-Adjusted Life Years (DALYs) is one of the criteria for priority-setting in health care resource allocation. DALYs incorporate disability weights (DWs), which are currently expert-derived estimates or non-existent for most pediatric surgical conditions. The objective of this study is to establish DWs for a subset of key pediatric congenital anomalies using a range of health valuation metrics with caregivers in both high- and low-resource settings.

Method

We described 15 health states to health professionals (physicians, nurses, social workers, and therapists) and community caregivers in Kenya and Canada. The health states summaries were expert- and community-derived, consisting of a narrated description of the disease and a functional profile described in EQ-5D-5 L style. DWs for each health state were elicited using four health valuation exercises (preference ranking, visual analogue scale (VAS), paired comparison (PC), and time trade-off (TTO)). The PC data were anchored internally to the TTO and externally to existing data to yield DWs for each health state on a scale from 0 (health) to 1 (dead). Any differences in DWs between the two countries were analyzed.

Results

In total, 154 participants, matched by profession, were recruited from Kijabe, Kenya (n = 78) and Hamilton, Canada (n = 76). Overall calculated DWs for 15 health states ranged from 0.13 to 0.77, with little difference between countries (intra-class coefficient 0.97). However, DWs generated in Kenya for severe hypospadias and undescended testes were higher than Canadian-derived DWs (p = 0.04 and p < 0.003, respectively).

Conclusions

We have derived country-specific DWs for pediatric congenital anomalies using several low-cost methods and inter-professional and community caregivers. The TTO-anchored PC method appears best suited for future use. The majority of DWs do not appear to differ significantly between the two cultural contexts and could be used to inform further work of estimating the burden of global pediatric surgical disease. Care should be taken in comparing the DWs obtained in the current study to the existent list of DWs because methodological differences may impact on their compatibility.
Appendix
Available only for authorised users
Literature
1.
go back to reference GBD 2015 Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2015;386:743–800.CrossRef GBD 2015 Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2015;386:743–800.CrossRef
2.
go back to reference Meara JG, Leather AJM, Hagander L, Alkire BC, Alonso N, Ameh E, et al. Global Surgery 2030: evidence and solutions for achieving health, welfare, and economic development. Lancet. 2015;6736:569–624.CrossRef Meara JG, Leather AJM, Hagander L, Alkire BC, Alonso N, Ameh E, et al. Global Surgery 2030: evidence and solutions for achieving health, welfare, and economic development. Lancet. 2015;6736:569–624.CrossRef
3.
go back to reference Debas H, et al. Surgery. In: Jamison D, editor. Disease control priorities in developing countries. 2nd ed. New York: Oxford University Press; 2006. Debas H, et al. Surgery. In: Jamison D, editor. Disease control priorities in developing countries. 2nd ed. New York: Oxford University Press; 2006.
4.
go back to reference Shrime MG, Bickler SW, Alkire BC, Mock C. Global burden of surgical disease: an estimation from the provider perspective. Lancet Glob Health. 2015;3:S8–9.CrossRefPubMed Shrime MG, Bickler SW, Alkire BC, Mock C. Global burden of surgical disease: an estimation from the provider perspective. Lancet Glob Health. 2015;3:S8–9.CrossRefPubMed
5.
go back to reference Ozgediz D, Poenaru D. The burden of pediatric surgical conditions in low and middle income countries: A call to action. J Pediatr Surg. 2012;47:2305–11.CrossRefPubMed Ozgediz D, Poenaru D. The burden of pediatric surgical conditions in low and middle income countries: A call to action. J Pediatr Surg. 2012;47:2305–11.CrossRefPubMed
8.
go back to reference Murray CJL. Quantifying the burden of disease: the technical basis for disability-adjusted life years. Bull World Health Organ. 1994;72:429–45.PubMedPubMedCentral Murray CJL. Quantifying the burden of disease: the technical basis for disability-adjusted life years. Bull World Health Organ. 1994;72:429–45.PubMedPubMedCentral
9.
go back to reference Lopez AD, Mathers CD, Ezzati M, Jamison DT, Murray CJL. Global Burden of Disease and Risk Factors. Disease Control Priorities Project. Washington: World Bank; 2006.CrossRef Lopez AD, Mathers CD, Ezzati M, Jamison DT, Murray CJL. Global Burden of Disease and Risk Factors. Disease Control Priorities Project. Washington: World Bank; 2006.CrossRef
10.
go back to reference Rehm J, Frick U. Valuation of health states in the US study to establish disability weights: lessons from the literature. Int J Methods Psych Res. 2010;19:18–33.CrossRef Rehm J, Frick U. Valuation of health states in the US study to establish disability weights: lessons from the literature. Int J Methods Psych Res. 2010;19:18–33.CrossRef
12.
go back to reference Revicki D, Kaplan R. Relationship between psycho- metric and utility-based approaches to the measurement of health-related quality of life. Qual Life Res. 1993;2:477–87.CrossRefPubMed Revicki D, Kaplan R. Relationship between psycho- metric and utility-based approaches to the measurement of health-related quality of life. Qual Life Res. 1993;2:477–87.CrossRefPubMed
13.
go back to reference Dolan P. The measurement of health-related quality of life for use in resource allocation decisions in health care. In: Culyer A, Newhouse J, editors. Handbook of Health Economics. Amsterdam: Elsevier; 2000. p. 1724–60. Dolan P. The measurement of health-related quality of life for use in resource allocation decisions in health care. In: Culyer A, Newhouse J, editors. Handbook of Health Economics. Amsterdam: Elsevier; 2000. p. 1724–60.
14.
go back to reference World Bank. World development report 1993; investing in health. Oxford: Oxford University Press; 1993.CrossRef World Bank. World development report 1993; investing in health. Oxford: Oxford University Press; 1993.CrossRef
15.
go back to reference Murray CJL, Lopez AD. A comprehensive assessment of mortality and disability from disease, injures and risk factors in 1990 and projected to 2020. In: Global burden of disease. Cambridge: Harvard University Press; 1996. Murray CJL, Lopez AD. A comprehensive assessment of mortality and disability from disease, injures and risk factors in 1990 and projected to 2020. In: Global burden of disease. Cambridge: Harvard University Press; 1996.
16.
go back to reference Stouthard M, Essink-Bot ML, Bonsel GJ. Disability Weights for Diseases in the Netherlands. Rotterdam: Erasmus University Rotterdam; 1997. Stouthard M, Essink-Bot ML, Bonsel GJ. Disability Weights for Diseases in the Netherlands. Rotterdam: Erasmus University Rotterdam; 1997.
17.
18.
go back to reference Mathers CD, Vos T, Stevenson C. The burden of disease and injury in Australia Summary report. Canberra: AIHW; 1999. Mathers CD, Vos T, Stevenson C. The burden of disease and injury in Australia Summary report. Canberra: AIHW; 1999.
19.
go back to reference Salomon J, Vos T, Hogan DR, Gagnon M, Naghavi M, Mokdad A, et al. Common values in assessing health outcomes from disease and injury: disability weights measurement study for the Global Burden of Disease Study 2010. Lancet. 2012;380:2129–43.CrossRefPubMed Salomon J, Vos T, Hogan DR, Gagnon M, Naghavi M, Mokdad A, et al. Common values in assessing health outcomes from disease and injury: disability weights measurement study for the Global Burden of Disease Study 2010. Lancet. 2012;380:2129–43.CrossRefPubMed
20.
go back to reference McIntosh CN, Connor Gorber S, Bernier J, Berthelot JM. Eliciting Canadian population preferences for health states using the Classification and Measurement System of Functional Health (CLAMES). Chronic Dis Canada. 2007;28:29–41. McIntosh CN, Connor Gorber S, Bernier J, Berthelot JM. Eliciting Canadian population preferences for health states using the Classification and Measurement System of Functional Health (CLAMES). Chronic Dis Canada. 2007;28:29–41.
21.
go back to reference Haagsma JA, Polinder S, Cassini A, Colzani E, Havelaar AH. Review of disability weight studies: comparison of methodological choices and values. Pop Health Metrics. 2014;12:1.CrossRef Haagsma JA, Polinder S, Cassini A, Colzani E, Havelaar AH. Review of disability weight studies: comparison of methodological choices and values. Pop Health Metrics. 2014;12:1.CrossRef
22.
go back to reference Gosselin R, Ozgediz D, Poenaru D. A Square Peg in a Round Hole? Challenges with DALY-based “Burden of Disease” Calculations in Surgery and a Call for Alternative Metrics. World J Surg. 2013;37:2507–11.CrossRefPubMed Gosselin R, Ozgediz D, Poenaru D. A Square Peg in a Round Hole? Challenges with DALY-based “Burden of Disease” Calculations in Surgery and a Call for Alternative Metrics. World J Surg. 2013;37:2507–11.CrossRefPubMed
23.
go back to reference McCord C, Chowdhury Q. A cost effective small hospital in Bangladesh: what it can mean for emergency obstetric care. Int J Gynaecol Obs. 2003;81:83–92.CrossRef McCord C, Chowdhury Q. A cost effective small hospital in Bangladesh: what it can mean for emergency obstetric care. Int J Gynaecol Obs. 2003;81:83–92.CrossRef
24.
go back to reference Gosselin R, Thind A, Bellardinelli A. Cost/DALY averted in a small hospital in Sierra Leone: what is the relative contribution of different services? World J Surg. 2006;30:505–11.CrossRefPubMed Gosselin R, Thind A, Bellardinelli A. Cost/DALY averted in a small hospital in Sierra Leone: what is the relative contribution of different services? World J Surg. 2006;30:505–11.CrossRefPubMed
25.
go back to reference Gosselin R, Maldonado A, Elder G. Comparative cost- effectiveness analysis of two MSF surgical trauma centers. World J Surg. 2010;34:415–9.CrossRefPubMed Gosselin R, Maldonado A, Elder G. Comparative cost- effectiveness analysis of two MSF surgical trauma centers. World J Surg. 2010;34:415–9.CrossRefPubMed
26.
go back to reference Poenaru D. Getting the Job Done: Analysis of the Impact and Effectiveness of the SmileTrain Program in Alleviating the Global Burden of Cleft Disease. World J Surg. 2013;37:1562–70.CrossRefPubMed Poenaru D. Getting the Job Done: Analysis of the Impact and Effectiveness of the SmileTrain Program in Alleviating the Global Burden of Cleft Disease. World J Surg. 2013;37:1562–70.CrossRefPubMed
27.
go back to reference Frankfurter C, Pemberton J, Cameron BH, Poenaru D. Understanding the burden of surgical congenital anomalies in Kenya: an international mixed-methods approach. Washington: Poster at the Consortium of Universities for Global Health (CUGH); 2014. p. 05–20. Frankfurter C, Pemberton J, Cameron BH, Poenaru D. Understanding the burden of surgical congenital anomalies in Kenya: an international mixed-methods approach. Washington: Poster at the Consortium of Universities for Global Health (CUGH); 2014. p. 05–20.
28.
go back to reference Kapiriri L, Frithjof NO. Whose priorities count? Comparison of community-identified health problems and Burden-of-Disease-assessed health priorities in a district in Uganda. Health Expect. 2002;5:55–62.CrossRefPubMedPubMedCentral Kapiriri L, Frithjof NO. Whose priorities count? Comparison of community-identified health problems and Burden-of-Disease-assessed health priorities in a district in Uganda. Health Expect. 2002;5:55–62.CrossRefPubMedPubMedCentral
29.
go back to reference Brazier J. Measuring and valuing health benefits for economic evaluation. Oxford: Oxford University Press; 2007. Brazier J. Measuring and valuing health benefits for economic evaluation. Oxford: Oxford University Press; 2007.
30.
go back to reference Rowen D, Brazier J, Van Hout B. A Comparison of Methods for Converting DCE Values onto the Full Health-Dead QALY Scale. Med Decis Making. 2015;35:328–40.CrossRefPubMed Rowen D, Brazier J, Van Hout B. A Comparison of Methods for Converting DCE Values onto the Full Health-Dead QALY Scale. Med Decis Making. 2015;35:328–40.CrossRefPubMed
31.
go back to reference Streiner DL, Norman GR. Health measurement scales: a practical guide to their development and use. Oxford: Oxford University Press; 2008.CrossRef Streiner DL, Norman GR. Health measurement scales: a practical guide to their development and use. Oxford: Oxford University Press; 2008.CrossRef
32.
go back to reference Stouthard MEA, Essink-Bot ML, Bonsle GJ, et al. Disability weights for diseases. Europ J Public Health. 2000;10:24–30.CrossRef Stouthard MEA, Essink-Bot ML, Bonsle GJ, et al. Disability weights for diseases. Europ J Public Health. 2000;10:24–30.CrossRef
33.
go back to reference Essink-Bot ML, Pereira J, Packer C, Schwarzinger M, Burstrom K. Cross-national comparability of burden of disease estimates: the European Disability Weights Project. Bull World Health Organ. 2002;80:644–52.PubMedPubMedCentral Essink-Bot ML, Pereira J, Packer C, Schwarzinger M, Burstrom K. Cross-national comparability of burden of disease estimates: the European Disability Weights Project. Bull World Health Organ. 2002;80:644–52.PubMedPubMedCentral
34.
go back to reference McKenna MT, Michaud CM, Murray CJ, Marks JS. Assessing the burden of disease in the United States using disability-adjusted life years. Am J Prev Med. 2005;28:415–23.CrossRefPubMed McKenna MT, Michaud CM, Murray CJ, Marks JS. Assessing the burden of disease in the United States using disability-adjusted life years. Am J Prev Med. 2005;28:415–23.CrossRefPubMed
36.
go back to reference Salomon JA, Murray CJL. Estimating health state valuations using a multiple-method protocol. In: Summary Measures of Population Health Concepts, Ethics, Measurement and Applications. Geneva: World Health Organization; 2002. p. 487–99. Salomon JA, Murray CJL. Estimating health state valuations using a multiple-method protocol. In: Summary Measures of Population Health Concepts, Ethics, Measurement and Applications. Geneva: World Health Organization; 2002. p. 487–99.
37.
go back to reference Feng Y, Devlin N, Shah K, Mulhern B, Van Hout B. New methods for modelling EQ-5D-5L value sets: an application to English data. In: Health Economics & Decision Science (HEDS) Discussion Paper Series. 2016. Feng Y, Devlin N, Shah K, Mulhern B, Van Hout B. New methods for modelling EQ-5D-5L value sets: an application to English data. In: Health Economics & Decision Science (HEDS) Discussion Paper Series. 2016.
38.
go back to reference Louviere JJ, Hensher DA, Swait JD. Stated Choice Methods: Analysis and Applications. Cambridge: Cambridge University Press; 2000.CrossRef Louviere JJ, Hensher DA, Swait JD. Stated Choice Methods: Analysis and Applications. Cambridge: Cambridge University Press; 2000.CrossRef
39.
go back to reference Schwarzinger M, Stouthard MEA, Burström K. Cross-national agreement on disability weights: the European Disability Weights Project. Pop Health Metrics. 2003;1:1–11.CrossRef Schwarzinger M, Stouthard MEA, Burström K. Cross-national agreement on disability weights: the European Disability Weights Project. Pop Health Metrics. 2003;1:1–11.CrossRef
40.
go back to reference Dyer SJ. The value of children in African countries-Insights from studies on infertility. J Psychosomatic Obs Gynecol. 2007;28:69–77.CrossRef Dyer SJ. The value of children in African countries-Insights from studies on infertility. J Psychosomatic Obs Gynecol. 2007;28:69–77.CrossRef
41.
go back to reference Inhorn MC. “The Worms Are Weak” Male Infertility and Patriarchal Paradoxes in Egypt. Men Masculinities. 2003;5:236–56.CrossRef Inhorn MC. “The Worms Are Weak” Male Infertility and Patriarchal Paradoxes in Egypt. Men Masculinities. 2003;5:236–56.CrossRef
42.
go back to reference Magee WP, Vander Burg R, Hatcher KW. Cleft lip and palate as a cost-effective health care treatment in the developing world. World J Surg. 2010;34:420–7.CrossRefPubMed Magee WP, Vander Burg R, Hatcher KW. Cleft lip and palate as a cost-effective health care treatment in the developing world. World J Surg. 2010;34:420–7.CrossRefPubMed
43.
go back to reference Reidpath DD. Measuring health in a vacuum: examining the disability weight of the DALY. Health Policy Planning. 2003;18:351–6.CrossRefPubMed Reidpath DD. Measuring health in a vacuum: examining the disability weight of the DALY. Health Policy Planning. 2003;18:351–6.CrossRefPubMed
44.
go back to reference Anand S, Hanson K. Disability-adjusted life years: a critical review. J Health Econ. 1997;16:685–702.CrossRefPubMed Anand S, Hanson K. Disability-adjusted life years: a critical review. J Health Econ. 1997;16:685–702.CrossRefPubMed
45.
go back to reference Arnesen T, Kapiriri L. Can the value choices in DALYs influence global priority-setting? Health Policy. 2004;70:137–49.CrossRefPubMed Arnesen T, Kapiriri L. Can the value choices in DALYs influence global priority-setting? Health Policy. 2004;70:137–49.CrossRefPubMed
46.
go back to reference King CH, Bertino AM. Asymmetries of poverty: why global burden of disease valuations underestimate the burden of neglected tropical diseases. PLoS Neglected Tropical Dis. 2008;2, e209.CrossRef King CH, Bertino AM. Asymmetries of poverty: why global burden of disease valuations underestimate the burden of neglected tropical diseases. PLoS Neglected Tropical Dis. 2008;2, e209.CrossRef
47.
go back to reference Poenaru D, Pemberton J, Frankfurter C, Cameron BH. Quantifying the Disability Averted through Pediatric Surgery: a cross-sectional comparison of a pediatric surgical unit in Kenya and Canada. World J Surg. 2015;39:2198–206.CrossRefPubMed Poenaru D, Pemberton J, Frankfurter C, Cameron BH. Quantifying the Disability Averted through Pediatric Surgery: a cross-sectional comparison of a pediatric surgical unit in Kenya and Canada. World J Surg. 2015;39:2198–206.CrossRefPubMed
48.
go back to reference Bickler S, Ozgediz D, Gosselin R, Weiser T, Spiegel D, et al. Key concepts for estimating the burden of surgical conditions and the unmet need for surgical care. World J Surg. 2010;34:374–80.CrossRefPubMed Bickler S, Ozgediz D, Gosselin R, Weiser T, Spiegel D, et al. Key concepts for estimating the burden of surgical conditions and the unmet need for surgical care. World J Surg. 2010;34:374–80.CrossRefPubMed
Metadata
Title
Establishing disability weights for congenital pediatric surgical conditions: a multi-modal approach
Authors
D. Poenaru
J. Pemberton
C. Frankfurter
B. H. Cameron
E. Stolk
Publication date
01-12-2017
Publisher
BioMed Central
Published in
Population Health Metrics / Issue 1/2017
Electronic ISSN: 1478-7954
DOI
https://doi.org/10.1186/s12963-017-0125-5

Other articles of this Issue 1/2017

Population Health Metrics 1/2017 Go to the issue