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Quality of Life Research
Gepubliceerd in: Quality of Life Research 10/2022

24-05-2022

The prototype of a preference-based index of weight-related quality of life: demonstrating the possibilities

Auteurs: Ana M. Moga, Laurie K. Twells, Nancy E. Mayo

Gepubliceerd in: Quality of Life Research | Uitgave 10/2022

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Abstract

Purpose

Evidence for comparative and cost-effectiveness of weight-loss interventions is lacking as there are no obesity-specific measures fit for this purpose. This study aimed to estimate the extent to which a prototype of a brief, multi-dimensional obesity-specific Preference-Based Index of Weight-Related Quality of Life (PBI-WRQL) could fill this gap.

Methods

Longitudinal data from a Canadian bariatric cohort was used. Forty-eight items from the IWQoL-Lite, EQ-5D-3L, and SF-12V2 were mapped onto the WHO ICF domains, and one item was chosen for the dimension based on fit to the Rasch model. Individuals’ health ratings (0–100) were regressed on each dimension, and the regression coefficients for the response options were used as weights to generate a total score. Generalized estimation equations were used to compare measure parameters across groups and levels of converging constructs.

Results

Pre-surgery data were available on 201 people (Women: 82%; BMI: 48.8 ± 6.7 kg/m2; age: 43 ± 9.0 years) and on 125 (62%) at 6 months post-bariatric surgery. Seven dimensions with three response options formed the PB-WRQL prototype: Mobility/Physical Function, Pain, Depression, Participation, Energy, Peripheral Edema, and Dyspnea. The prototype showed substantial change (mean + 40) with bariatric surgery, higher than the EQ-5D (mean + 11.5). The prototype showed the strongest relationship with BMI at baseline (t = − 3.68) and was the most sensitive to change in BMI (t = − 3.42).

Conclusion

This study demonstrates that a brief, 7-dimension index weighted by health impact performed as well as the 31-item IWQoL-Lite and better than the EQ-5D-3L. These findings demonstrate the potential value of the brief PB-WRQL prototype index and support its further development using preference weights to reflect the current generation’s needs and concerns.
vorige artikel A qualitative investigation of the relevance of skin irritation and self-confidence bolt-ons and their conceptual overlap with the EQ-5D in patients with psoriasis
volgende artikel Utility values and its time to deterioration in breast cancer patients after diagnosis and during treatments
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Literatuur
1.
Lean, M. E., & Malkova, D. (2016). Altered gut and adipose tissue hormones in overweight and obese individuals: Cause or consequence? International Journal of Obesity, 40, 622–632.PubMedCrossRef
2.
Greenway, F. L. (2015). Physiological adaptations to weight loss and factors favouring weight regain. International Journal of Obesity, 39, 1188–1196.PubMedCrossRef
3.
WHOQOL Group. (1995). The World Health Organisation quality of life assessment (WHOQOL): Position paper from the World Health Organisation. Social Science and Medicine, 41, 1403–1409.CrossRef
4.
Wood-Dauphinee, S. (1999). Assessing quality of life in clinical research: From where have we come and where are we going? Journal of Clinical Epidemiology, 52, 355–363.PubMedCrossRef
5.
Mayo, N. E. (2015). Dictionary of quality of life and health outcome measurement (1st ed.). Milwaukee: International Society of Quality of Life Research (ISOQOL).
6.
Laxy, M., Teuner, C., Holle, R., & Kurz, C. (2018). The association between BMI and health-related quality of life in the US population: Sex, age and ethnicity matters. International Journal of Obesity, 42, 318–326.PubMedCrossRef
7.
Ul-Haq, Z., Mackay, D. F., Fenwick, E., & Pell, J. P. (2012). Impact of metabolic comorbidity on the association between body mass index and health-related quality of life: A Scotland-wide cross-sectional study of 5,608 participants. BMC Public Health, 12, 143.PubMedPubMedCentralCrossRef
8.
Jia, H., & Lubetkin, E. I. (2005). The impact of obesity on health-related quality-of-life in the general adult US population. Journal of Public Health (Oxford, England), 27, 156–164.CrossRef
9.
Pilone, V., Mozzi, E., Schettino, A. M., Furbetta, F., Di Maro, A., Giardiello, C., Battistoni, M., Gardinazzi, A., Micheletto, G., Perrotta, N., & Busetto, L. (2012). Improvement in health-related quality of life in first year after laparoscopic adjustable gastric banding. Surgery for Obesity and Related Diseases, 8, 260–268.PubMedCrossRef
10.
Twells, L. K., Driscoll, S., Gregory, D. M., Lester, K., Fardy, J. M., & Pace, D. (2017). Morbidity and health-related quality of life of patients accessing laparoscopic sleeve gastrectomy: A single-centre cross-sectional study in one province of Canada. BMC Obesity, 4, 40.PubMedPubMedCentralCrossRef
11.
Ahmed, S., Berzon, R. A., Revicki, D. A., Lenderking, W. R., Moinpour, C. M., Basch, E., Reeve, B. B., & Wu, A. W. (2012). The use of patient-reported outcomes (PRO) within comparative effectiveness research: Implications for clinical practice and health care policy. Medical Care, 50, 1060–1070.PubMedCrossRef
12.
Bhaskaran, K., Douglas, I., & Forbes, H. (2014). dos-Santos-Silva I, Leon DA, Smeeth L: Body-mass index and risk of 22 specific cancers: A population-based cohort study of 5·24 million UK adults. The Lancet, 384, 755–765.CrossRef
13.
Berrington de Gonzalez, A., Hartge, P., Cerhan, J. R., Flint, A. J., Hannan, L., MacInnis, R. J., Moore, S. C., Tobias, G. S., Anton-Culver, H., Freeman, L. B., Lawrence Beeson, W., Clipp, S. L., English, D. R., Folsom, A. R., Freedman, M., Giles, G., Hakansson, N., Henderson, K. D., Hoffman-Bolton, J., … Thun, M. J. (2010). Body-mass index and mortality among 1.46 million white adults. New England Journal of Medicine, 363, 2211–2219.PubMedCrossRef
14.
Cawley, J., & Meyerhoefer, C. (2012). The medical care costs of obesity: An instrumental variables approach. Journal of Health Economics, 31, 219–230.PubMedCrossRef
15.
Berzon, R. A., Mauskopf, J. A., & Simeon, G. P. (1996). Choosing a health profile (descriptive) and/or a patient-preference (utility) measure for a clinical trial. In B. S. Philadelphia (Ed.), Quality of life and pharmaeconomics in clinical trials (pp. 375–379). Lippincott-Raven Publishers.
16.
Kind, P. (2005). Values and valuation in the measurement of HRQoL. In P. M. Fayers & R. Hays (Eds.), Assessing quality of life in clinical trials (pp. 391–404). Oxford University Press Inc.
17.
Brazier, J., Ratcliffe, J., Salomon, J. A., & Tsuchiya, A. (2007). Measuring and valuing health benefits for economic evaluation. Oxford University Press Inc.
18.
Feeny, D., Torrance, G. W., & Furlong, W. (1996). Health utilities index. In B. S. Philadelphia (Ed.), Quality of life and pharmaeconomics in clinicals trials (pp. 239–252). Lippincott-Raven Publishers.
19.
Feeny, D. (2005). Preference-based measures: Utility and quality-adjusted life years. In P. Fayers & R. Hays (Eds.), Assessing quality of life in clinical trials (pp. 405–429). Oxford University Press.
20.
Xia, Q., Campbell, J. A., Ahmad, H., Si, L., de Graaff, B., Otahal, P., & Palmer, A. J. (2020). Health state utilities for economic evaluation of bariatric surgery: A comprehensive systematic review and meta-analysis. Obesity Reviews, 21, e13028.PubMed
21.
22.
Fontaine, K. R., & Barofsky, I. (2001). Obesity and health-related quality of life. Obesity Reviews, 2, 173–182.PubMedCrossRef
23.
Warkentin, L. M., Das, D., Majumdar, S. R., Johnson, J. A., & Padwal, R. S. (2014). The effect of weight loss on health-related quality of life: Systematic review and meta-analysis of randomized trials. Obesity Reviews, 15, 169–182.PubMedCrossRef
24.
Moga, A. M., Twells, L. K., Forhan, M., & Mayo, N. E. (2021). Using natural language processing to identify health and life areas that matter to people living with obesity across the globe. Quality Life Research, 30, 1–177.
25.
US Food and Drug Administration (2009) Guidance for industry on patient-reported outcome measures: Use in medical product development to support labeling claims 74: 65132–65133.
26.
Ludwig, K., Ramos-Goñi, J. M., Oppe, M., Kreimeier, S., & Greiner, W. (2021). To what extent do patient preferences differ from general population preferences? Value in Health, 24, 1343–1349.PubMedCrossRef
27.
Col, N. F., Solomon, A. J., Springmann, V., Garbin, C. P., Ionete, C., Pbert, L., Alvarez, E., Tierman, B., Hopson, A., Kutz, C., et al. (2018). Whose preferences matter? A patient-centered approach for eliciting treatment goals. Medical Decision Making, 38, 44–55.PubMedCrossRef
28.
Moga, A. M., Twells, L., Ahmed, S., & Mayo, E. N. (2018). Methodology for developing preference-based measures from the patient’s perspective: An example from the development of a weight related quality of life index. Quality of Life Research, 27, S188.
29.
Twells, L. K., Gregory, D. M., Midodzi, W. K., Dillon, C., Kovacs, C. S., MacDonald, D., Lester, K. K., Pace, D., Smith, C., Boone, D., & Murphy, R. (2016). The Newfoundland and labrador bariatric surgery cohort study: Rational and study protocol. BMC Health Services Research, 16, 618.PubMedPubMedCentralCrossRef
30.
Falk, V., Twells, L., Gregory, D., Murphy, R., Smith, C., Boone, D., & Pace, D. (2016). Laparoscopic sleeve gastrectomy at a new bariatric surgery centre in Canada: 30-Day complication rates using the Clavien-Dindo classification. Canadian Journal of Surgery, 59, 93–97.PubMedCentralCrossRef
31.
Gregory, D. M., Twells, L. K., Lester, K. K., Midodzi, W. K., Pedersen, M. R., Pace, D., Smith, C., Boone, D., Randell, E. W., & Kovacs, C. S. (2018). Preoperative and postoperative assessments of biochemical parameters in patients with severe obesity undergoing laparoscopic sleeve gastrectomy. Obesity Surgery, 28, 2261–2271.PubMedCrossRef
32.
Lau, D. C., Douketis, J. D., Morrison, K. M., Hramiak, I. M., Sharma, A. M., & Ur, E. (2007). 2006 Canadian clinical practice guidelines on the management and prevention of obesity in adults and children [summary]. CMAJ, 176, S1-13.PubMedPubMedCentralCrossRef
33.
Bansback, N., Tsuchiya, A., Brazier, J., & Anis, A. (2012). Canadian valuation of EQ-5D health states: Preliminary value set and considerations for future valuation studies. PLoS ONE, 7, e31115.PubMedPubMedCentralCrossRef
34.
Kolotkin, R. L., Crosby, R. D., Kosloski, K. D., & Williams, G. R. (2001). Development of a brief measure to assess quality of life in obesity. Obesity Research, 9, 102–111.PubMedCrossRef
35.
Ware, J., Jr., Kosinski, M., & Keller, S. D. (1996). A 12-item short-form health survey: Construction of scales and preliminary tests of reliability and validity. Medical Care, 34, 220–233.PubMedCrossRef
36.
Ware, J., Jr., Kosinski, M., & Keller, S. D. (1995). How to score the SF-12 physical and mental health summary scale. The Health Institute, New England Medical Center.
37.
Moga, A. M., Mayo, E. N., & Twells, L. K. (2020). A brief prototype weight-related quality of life index performs as well as or better than weight specific or generic measures in bariatric surgery sample. Quality of Life Research, 29, 101.
38.
Moga, A. M., Mayo, E. N., & Twells, L. (2019). Towards the development of a preference-based weight related quality of life (WRQL) index: Proof-of-concept. Quality of Life Research, 28, S17.
39.
Wasserstein, R. L., & Lazar, N. A. (2016). The ASA statement on p-values: Context, process, and purpose. The American Statistician, 70, 129–133.CrossRef
40.
41.
Cieza, A., Geyh, S., Chatterji, S., Kostanjsek, N., Ustun, B., & Stucki, G. (2005). ICF linking rules: An update based on lessons learned. Journal of Rehabilitation Medicine, 37, 212–218.PubMedCrossRef
42.
Tessier, A., Mayo, N. E., & Cieza, A. (2011). Content identification of the IWQOL-lite with the international classification of functioning, disability and health. Quality of Life Research, 20, 467–477.PubMedCrossRef
43.
Young, T. A., Yang, Y., Brazier, J. E., & Tsuchiya, A. (2010). The use of rasch analysis in reducing a large condition-specific instrument for preference valuation: The case of moving from AQLQ to AQL-5D. Medical Decision Making, 31, 195–210.PubMedCrossRef
44.
Young, T., Yang, Y., Brazier, J. E., Tsuchiya, A., & Coyne, K. (2009). The first stage of developing preference-based measures: Constructing a health-state classification using Rasch analysis. Quality of Life Research, 18, 253–265.PubMedCrossRef
45.
Goodwin, E., & Green, C. (2016). A systematic review of the literature on the development of condition-specific preference-based measures of health. Applied Health Economics and Health Policy, 14, 161–183.PubMedCrossRef
46.
Kuspinar, A., Finch, L., Pickard, S., & Mayo, N. E. (2014). Using existing data to identify candidate items for a health state classification system in multiple sclerosis. Quality of Life Research, 23, 1445–1457.PubMedCrossRef
47.
Brazier, J., Ratcliffe, J., Salomon, J. A., & Tsuchiya, A. (2017). Measuring and valuing health benefits for economic evaluation (2nd ed.). Oxford University Press.
48.
Hubbard, A. E., Ahern, J., Fleischer, N. L., Van der Laan, M., Lippman, S. A., Jewell, N., Bruckner, T., & Satariano, W. A. (2010). To GEE or not to GEE: Comparing population average and mixed models for estimating the associations between neighborhood risk factors and health. Epidemiology, 21, 467–474.PubMedCrossRef
49.
Mafort, T. T., Rufino, R., Costa, C. H., & Lopes, A. J. (2016). Obesity: Systemic and pulmonary complications, biochemical abnormalities, and impairment of lung function. Multidiscip Respir Med, 11, 28.PubMedPubMedCentralCrossRef
50.
Bernhardt, V., Stickford, J. L., Bhammar, D. M., & Babb, T. G. (2016). Aerobic exercise training without weight loss reduces dyspnea on exertion in obese women. Respiratory Physiology & Neurobiology, 221, 64–70.CrossRef
51.
Fife, C. E., & Carter, M. J. (2008). Lymphedema in the morbidly obese patient: Unique challenges in a unique population. Ostomy/Wound Management, 54, 44–56.PubMed
52.
O’Malley, E., Ahern, T., Dunlevy, C., Lehane, C., Kirby, B., & O’Shea, D. (2014). Obesity-related chronic lymphoedema-like swelling and physical function. QJM: An International Journal of Medicine, 108, 183–187.CrossRef
53.
Kolotkin, R. L., Norquist, J. M., Crosby, R. D., Suryawanshi, S., Teixeira, P. J., Heymsfield, S. B., Erondu, N., & Nguyen, A. M. (2009). One-year health-related quality of life outcomes in weight loss trial participants: Comparison of three measures. Health & Quality of Life Outcomes, 7, 53.CrossRef
54.
Therrien, F., Marceau, P., Turgeon, N., Biron, S., Richard, D., & Lacasse, Y. (2011). The laval questionnaire: A new instrument to measure quality of life in morbid obesity. Health & Quality of Life Outcomes, 9, 66.CrossRef
55.
Kolotkin, R. L., & Andersen, J. R. (2017). A systematic review of reviews: Exploring the relationship between obesity, weight loss and health-related quality of life. Clinical Obesity, 7, 273–289.PubMedPubMedCentralCrossRef
56.
Mayo, N. E., Aburub, A., Brouillette, M. J., Kuspinar, A., Moriello, C., Rodriguez, A. M., & Scott, S. (2017). In support of an individualized approach to assessing quality of life: Comparison between Patient Generated Index and standardized measures across four health conditions. Quality of Life Research, 26, 601–609.PubMedCrossRef
57.
Rozjabek, H., Fastenau, J., LaPrade, A., & Sternbach, N. (2020). Adult obesity and health-related quality of life, patient activation, work productivity, and weight loss behaviors in the United States. Diabetes Metabolic Syndrome and Obesity, 13, 2049–2055.CrossRef
58.
Busutil, R., Espallardo, O., Torres, A., Martinez-Galdeano, L., Zozaya, N., & Hidalgo-Vega, A. (2017). The impact of obesity on health-related quality of life in Spain. Health and Quality of Life Outcomes, 15, 197.PubMedPubMedCentralCrossRef
59.
Brazier, J. E., Kolotkin, R. L., Crosby, R. D., & Williams, G. R. (2004). Estimating a preference-based single index for the impact of weight on quality of life-lite (IWQOL-Lite) instrument from the SF-6D. Value in Health, 7, 490–498.PubMedCrossRef
60.
Engel, S. G., Crosby, R. D., Kolotkin, R. L., Hartley, G. G., Williams, G. R., Wonderlich, S. A., & Mitchell, J. E. (2003). Impact of weight loss and regain on quality of life: Mirror image or differential effect? Obesity Research, 11, 1207–1213.PubMedCrossRef
61.
Pan, H.-J., Cole, B. M., & Geliebter, A. (2011). The benefits of body weight loss on health-related quality of life. Journal of the Chinese Medical Association, 74, 169–175.PubMedCrossRef
62.
Canetti, L., Elizur, Y., Karni, Y., & Berry, E. M. (2013). Health-related quality of life changes and weight reduction after bariatric surgery vs. a weight-loss program. Israel Journal of Psychiatry and Related Sciences, 50, 194–200.PubMed
63.
Hageman, P. A., Mroz, J. E., Yoerger, M. A., & Pullen, C. H. (2019). Weight loss is associated with improved quality of life among rural women completers of a web-based lifestyle intervention. PLoS ONE, 14, e0225446.PubMedPubMedCentralCrossRef
64.
Lindekilde, N., Gladstone, B. P., Lubeck, M., Nielsen, J., Clausen, L., Vach, W., & Jones, A. (2015). The impact of bariatric surgery on quality of life: A systematic review and meta-analysis. Obesity Reviews, 16, 639–651.PubMedCrossRef
65.
Tayyem, R., Ali, A., Atkinson, J., & Martin, C. R. (2011). Analysis of health-related quality-of-life instruments measuring the impact of bariatric surgery: Systematic review of the instruments used and their content validity. Patient, 4, 73–87.PubMedCrossRef
66.
Grimby, G., Tennant, A., & Tesio, L. (2012). The use of raw scores from ordinal scales: Time to end malpractice? Journal of Rehabilitation Medicine, 44, 97–98.PubMedCrossRef
67.
Kersten, P., Ashburn, A., George, S., & Low, J. (2010). The subjective index for physical and social outcome (SIPSO) in stroke: Investigation of its subscale structure. BMC Neurology, 10, 26.PubMedPubMedCentralCrossRef
68.
Stucki, G., Daltroy, L., Katz, J. N., Johannesson, M., & Liang, M. H. (1996). Interpretation of change scores in ordinal clinical scales and health status measures: The whole may not equal the sum of the parts. Journal of Clinical Epidemiology, 49, 711–717.PubMedCrossRef
69.
Merbitz, C., Morris, J., & Grip, J. C. (1989). Ordinal scales and foundations of misinference. Archives of Physical Medicine and Rehabilitation, 70, 308–312.PubMed
70.
71.
Halloran, K., Padwal, R. S., Johnson-Stoklossa, C., Sharma, A. M., & Birch, D. W. (2011). Income status and approval for bariatric surgery in a publicly funded regional obesity program. Obesity Surgery, 21, 373–378.PubMedCrossRef
72.
Martin, M., Beekley, A., Kjorstad, R., & Sebesta, J. (2010). Socioeconomic disparities in eligibility and access to bariatric surgery: A national population-based analysis. Surgery for Obesity and Related Diseases, 6, 8–15.PubMedCrossRef
73.
Belle, S. H., Berk, P. D., Chapman, W. H., Christian, N. J., Courcoulas, A. P., Dakin, G. F., Flum, D. R., Horlick, M., King, W. C., McCloskey, C. A., Mitchell, J. E., Patterson, E. J., Pender, J. R., Steffen, K. J., Thirlby, R. C., Wolfe, B. M., & Yanovski, S. Z. (2013). Baseline characteristics of participants in the longitudinal assessment of bariatric surgery-2 (LABS-2) study. Surg Obes Relat Dis, 9, 926–935.PubMedPubMedCentralCrossRef
74.
Dreyer, N., Dixon, J. B., Okerson, T., Finkelstein, E. A., & Globe, D. (2013). Prevalence of comorbidities and baseline characteristics of LAP-BAND AP® subjects in the helping evaluate reduction in obesity (HERO) study. PLoS ONE, 8, e78971.PubMedPubMedCentralCrossRef
75.
Metagegevens
Titel
The prototype of a preference-based index of weight-related quality of life: demonstrating the possibilities
Auteurs
Ana M. Moga
Laurie K. Twells
Nancy E. Mayo
Publicatiedatum
24-05-2022
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 10/2022
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-022-03156-5

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