Abstract
Objective
Cost-utility analyses are useful to study conditions without a widely accepted treatment algorithm; in pediatric urology, one such condition is vesicoureteral reflux (VUR). A necessary component of cost-utility analyses is to accurately calculate the “utility”, a numerical surrogate of quality of life, for various health states. Our aims were to determine utility values for representative VUR health states and to verify the feasibility of a novel online platform for utility elicitation in order to reduce the time and expense of such analyses.
Methods
A cross-sectional survey of American adults was conducted using the time-trade-off (TTO) method. Respondents were recruited from an online work interface, Amazon’s Mechanical Turk (MTurk). Four annualized VUR health states were assessed: VUR treated with/without continuous antibiotic prophylaxis (CAP) and with/without associated febrile urinary tract infection (UTI). A 6-week post-operative scenario following open ureteroneocystostomy was also assessed.
Results
We received 278 survey responses (70% response rate). The respondents were largely between the ages of 25 and 44 (59%), female (60%), and Caucasian (76%). Thirty-seven percent had a college degree, and 44% were parents. Compared with a perfect health state of 1.0, we found mean utilities of 0.98 for VUR, regardless of whether CAP was used or whether UTI was present (p=0.9). The immediate post-operative period following ureteroneocystostomy garnered an annualized utility of 0.94.
Conclusions
Our data suggest that MTurk-based utility assessment is feasible, and that subjects view the VUR health state as only slightly inferior to perfect health. This includes VUR health states incorporating CAP and febrile UTI.
Keywords: Urology, Pediatric, Vesicoureteral reflux, Utility theory
Introduction
Vesicoureteral reflux (VUR) is a condition well-known to pediatric urologists, affecting 1% of asymptomatic children and 33–50% of children suffering a febrile UTI [1,2]. Although some cases are associated with recurrent pyelonephritis, renal scarring, hypertension, and/or renal failure [1,2], many other cases will resolve spontaneously and may never be associated with infection or renal injury [3,4]. Given this variable natural history, it is unsurprising that a range of management options exist.
When debate exists as to the “best” treatment for a given condition, cost-utility analysis (CUA) can be helpful to measure the relative value of all options [5]. However, CUA requires that accurate “utility” values are available for the condition in question. A utility is a number (usually between 0 and 1) that quantifies the impact of a health state on the person’s overall well-being, with 1 representing perfect health and 0 representing death. Thus, a very severe condition that negatively impacts all aspect of daily living might have a utility value near 0, whereas a minor condition that does not result in significant impairment might have a utility value very close to 1. Utility values are linear constructs, so the quality of life of someone with a utility of 0.5 is assumed to be exactly half that of someone with a utility of 1.
Typically, utility values are estimated via in-person interviews with the community, during which the interviewer describes the health state and the respondent states how they value the health state compared with perfect health. However, such interviews are costly and time-consuming; hence, moving the utility elicitation process to an online platform may offer several advantages. However, it is unclear whether online surveys will generate responses similar to traditional interviews.
Thus our goals for this study were twofold: (1) to determine utility values for a variety of moderate-grade VUR health states and (2) to assess the feasibility of utility elicitation via an online instrument, MTurk.
Patients and methods
Study design
A cross-sectional survey study was conducted among the general public to elicit utility values for 5 VUR disease states. A time-trade off (TTO) approach was used to determine all utility values.
Study participants
We used the Amazon.com ‘Mechanical Turk’ (MTurk, www.MTurk.com) platform to recruit study participants. MTurk is a crowdsourcing digital marketplace, allowing easy access to a large, stable, and diverse sample of the US population. MTurk users voluntarily register to complete various tasks; participation is typically compensated at $0.05–$1.00 per 5–30 minute task. Estimating that our survey would take 10 minutes to complete, we set our payment at $0.50. Because all payments were made through an intermediary (Amazon.com), participants remained anonymous. Exclusion criteria included residence outside the USA, age <18 years, and lack of English fluency.
Instrument development
Each participant first completed a TTO model related to paraplegia, which served as a practice scenario to familiarize participants with the TTO format and conventions. Participants were instructed to include the value of “preventing the pain, suffering, inconvenience, and lost time for productive activities (like school, work, and household chores) and leisure” for both their hypothetical child and themselves.
We then introduced all participants to VUR via a 4-minute video vignette in which actors portrayed a mother whose child had VUR and a pediatric urologist experienced in treating the condition. This film clip was meant to introduce survey participants to the condition, as they likely had not been previously exposed to VUR. After the video, participants were directed to an “attention question”, which aimed to confirm that participants had viewed the video.
Participants were then presented with the VUR-based clinical scenarios and TTO utility elicitation questions. Each participant was randomly presented with one of four pre-operative health states, and all were presented with a single post-operative health state.
We surveyed respondent age, gender, race/ethnicity, parental status, education achievement and annual income. Given our a priori hypothesis that previous experience with VUR or other chronic health conditions might affect an individual’s preferences for given health states, we also collected data on the health of respondents and their children (if applicable).
Before release, this survey was internally validated using a convenience sample of eight adults, none of whom had a personal or family history of VUR or previous experience with TTO models.
This study was reviewed by our institutional review board and deemed not human subjects research. No formal consent was required, although the principles of the Declaration of Helsinki were followed.
VUR health states
Four pre-operative VUR health states were described: (1) VUR with CAP and a UTI; (2) VUR with CAP but no UTI; (3) VUR with a UTI but no CAP; and (4) VUR in the absence of CAP or UTI. UTIs were described as: “When a child has a urine infection, they usually have a high fever. They may feel pain or burning with urination and pain in their side or belly. This is treated with antibiotics several times each day for 1–2 weeks. Some children need to be in the hospital for a few days and may need stronger antibiotics. Most children recover, but these infections can cause kidney damage.” A surgery state described open ureteroneocystostomy.
The content of the health state descriptions was compiled based on: (1) interviews with patients and families affected by VUR, (2) review of the literature, and (3) expert opinion. The health states were designed to reflect typical disease courses for a child with grade III VUR.
Utility elicitation
Utility elicitation used the TTO method, with a practice health state (paraplegia) used to allow respondents to become familiar with (1) the format of disease state descriptions and (2) the concept of rating a health state. Participants were instructed to perform the TTO as if they were the parent of a child with VUR and as if they were trading years of their child’s life.
Timeframes offered in the TTO exercises varied by disease state presented. For the preoperative VUR TTO exercises, a 10-year timeframe was used with the respondent offered some decreased amount of time in ‘perfect health’ compared with 10 years in the disease state. Health durations changed by 1 year for responses from 1 to 9 year TTO, and could then be narrowed to between 0 and 365 days for respondents willing to trade less than 1 year’s time. A similar method was used for the post-op VUR state; however, given the speedy recovery usually seen in children, this TTO was based on a 6-week timeframe, with a 0–7 day option being presented to participants who were only willing to trade ≤1 week of life to avoid VUR.
Statistical analysis
TTO utility values were calculated using the formula: ‘Utility = time in full health/time in disease state.’ CDC actuarial life tables were used to estimate remaining years of life for a 6-year-old child.
Mean (± standard deviation (SD)) utility values and descriptive statistics were calculated using SAS version 9.3. Kruskal-Wallis or Wilcoxon rank-sum tests were used as appropriate for bivariate comparisons of utility values and respondent characteristics.
Results
Respondent characteristics
Between April and May 2013, 397 MTurk workers voluntarily participated in the survey, 276 of whom completed the task for a 69.5% response rate (Table 1). Most were aged 25–34 years (41%), female (60%), and Caucasian (76%). Married and single respondents were evenly represented (40% vs. 42%); most did not have children (56%).
Table 1.
Respondent demographics
| Characteristic | N (%) |
|---|---|
| Age | |
| 18–24 | 45 (17) |
| 25–34 | 114 (41) |
| 35–44 | 49 (18) |
| 45–54 | 34 (12) |
| 55–64 | 29 (11) |
| 65–74 | 4 (1) |
| 75 or older | 2 (0.7) |
| Gender | |
| Female | 166 (60) |
| Race/Ethnicity | |
| African-American | 23 (8) |
| Asian | 21 (8) |
| Caucasian | 210 (76) |
| Hispanic | 12 (4) |
| Native American | 4 (1) |
| Other | 2 (0.7) |
| Two or more races | 5 (2) |
| Marital status | |
| Living with partner | 25 (9) |
| Married | 112 (40) |
| Separated | 19 (7) |
| Single | 118 (43) |
| Widowed | 3 (1) |
| Parental status | |
| Have children | 153 (56) |
| Educational attainment | |
| Some college | 77 (28) |
| 2-year college degree | 35 (13) |
| 4-year college degree | 104 (37) |
| Master’s degree | 18 (7) |
| Professional degree | 6 (2) |
| Doctoral degree | 8 (3) |
| High school diploma or GED | 29 (10) |
| Less than high school diploma | 2 (0.7) |
| Household median income | |
| 20–29,000 | 45 (16) |
| 30–49,000 | 79 (28) |
| 50–69,000 | 50 (18) |
| 70–99,000 | 34 (12) |
| ≥100,000 | 22 (8) |
Most of the respondents reported excellent personal health, although some reported having depression (12%), hypertension (8%), diabetes (3%), or other chronic diseases (8%).
Of the complete respondents, 56 (20%) chose an incorrect response to the attention question. However, there was no difference in utility values by their responses (0.9836 incorrect vs. 0.9837 correct, p=0.98). We therefore did not exclude these responses.
Utilities by health state
We found a mean utility of 0.73 for our test state, paraplegia, in line with other reported utility values [6]. This did not vary significantly by respondent characteristics such as age or gender.
For our test condition, non-operative VUR, respondents indicated a mean utility value of 0.98 for non-operative VUR, regardless of whether CAP was used or whether UTI was present (Table 2). Using standard CDC actuarial tables to predict remaining years of life for a 6-year-old child, we found that pre-operative utility for children on CAP with UTIs was 0.9830 (±0.035) and without UTIs was 0.9834 (±0.037). For children with UTIs not taking CAP, annual utility was 0.9829 (±0.033). For children with VUR but no history of CAP or UTIs, pre-operative annual utility was 0.9827 (±0.035). For a 6-year-old child, there was no significant difference between the utilities for any given health state (p=0.93).
Table 2.
Utility values for pre-operative VUR health states
| 6-year-old child | |
|---|---|
|
VUR Mean (SD) |
0.9827 (0.035) |
|
VUR with UTI Mean (SD) |
0.9829 (0.033) |
|
VUR with CAP Mean (SD) |
0.9834 (0.037) |
|
VUR with UTI and CAP Mean (SD) |
0.9830 (0.035) |
Utility values were higher among respondents who were themselves parents (0.9905 vs. 0.9768, p=0.0004), but did not vary significantly based on respondent age (p=0.14), gender (p=0.10), race/ethnicity (p=0.28), marital status (p=0.06), education level (p=0.19), household income (p=0.30) or presence of comorbid conditions (p=0.47) (Table 2).
The short-term postoperative state had a mean utility value of 0.50 for the 6-week period immediately after ureteroneocystostomy; averaged over a year, this gives an annualized value of 0.94 (assuming the rest of the year was spent in perfect health). These values did not significantly vary with which pre-operative VUR scenario respondents were given (range 0.35–0.61, p=0.22).
Discussion
CUA can provide valuable insights into management strategies for conditions such as moderate VUR that do not yet have a preferred treatment algorithm. Accurately calculating the utility of various health states is critical for successful CUA research. However, utility elicitation via typical face-to-face interviews can be time-consuming and expensive.
We sought to assess various VUR health states using a novel online survey platform, with the hopes of achieving two goals: first, to determine utility values for several moderate VUR health states and second, to assess the feasibility of utility elicitation via an online environment. We found annual utilities of 0.98 for a variety of pre-operative VUR health states (both with and without CAP and UTIs) and an annual utility of 0.94 for the period immediately following surgery. There is little difference among utility values for the health states we queried. Indeed, obtaining accurate utilities for children’s health states poses several well-known methodological challenges, including a general uneasiness with trading any time for mild decrements in health; difficulty contextualizing a child’s illness in the overall well-being of the family/household; competing choices faced by parents (e.g. positive value being placed on spending time with a sick child); and caretaker guilt.
A recent review reveals 10 competing published treatment guidelines for moderate (Grade III) VUR [7]; the authors point toward the need for ongoing and future research to clarify best practices. However, such research is years away from completion and may not answer all of the clinical questions that arise in the management of VUR [8]. In the interim, urologists still need to make treatment decisions for their patients, explaining the growing interest in CUA and modeling for VUR [9–11]. Accurate estimates of VUR utilities are a critical component of these analyses.
Assessments of utilities remain relatively novel in urology. Fann et al. found that patients valued ureteroscopy (0.914) lower than extracorporeal shock wave lithotripsy (0.967), but noted that both were less preferable than a chronic urolithiasis state (0.974) [12]. Mesrobian estimated the utility of childhood ureteropelvic junction obstruction, but his estimated annual utility range of 0.5–0.8 was drawn from the literature, not determined by interview. Other reported conditions in this range are quite morbid, for example renal failure requiring hemodialysis [13] and progressive lymphoma after chemotherapy (0.6) [14]. By comparison, intermittently obstructive UPJO would seem to have a lesser effect on quality of life, suggesting that Mesrobian’s UPJO utility may be underestimated. Our VUR utility results were similar to others for childhood conditions collected via standard interviews (e.g. otitis media 0.9950, bacteremia 0.9921), lending credence to the hypothesis that online TTO determination is a viable mode of utility elicitation [15].
We found a lower preference for the post-operative health state, with an annualized utility of 0.94 (6-week utility of 0.50). This is very similar to previously published estimates [16–18] and is in line with other pediatric conditions, where short-term health states are often found to have lower utility than longer-term health states [19–21]. In a study of childhood pertussis, a ‘persistent cough’ over 3 months was found to have a utility value of 0.67. The same cough, extended over a lifetime, had a utility of 0.83 [19].
This study should be interpreted in light of its limitations. MTurk respondents are not necessarily representative of the US population, as shown in Table 1. However, MTurk has been shown to be more representative than other commonly used convenience samples (e.g. undergraduates) [22,23]. Multiple studies have demonstrated that survey results derived from MTurk populations are similar to those derived from more traditional, community-interview methods [24–27]. Further, our 70% response rate is well within acceptable standards for survey research [28], and our utility values were quite similar to previous studies [16–18]. Nonetheless, our specific results have not yet been validated against a sample using standard face-to-face interview techniques and should not be widely adopted prior to validation.
TTO methods are sensitive to risk aversion, albeit less than standard gamble methods [29]. For example, respondents may be unwilling to trade any length of life for a quality improvement. As such, our use of TTO may have biased our utility values to be lower than expected had we used a standard gamble method.
The relative unimportance of the attention question merits further comment, as we expected this would significantly impact our results. We suspect this to be a multifactorial effect, as respondents are educated to VUR by reading our introductory material, viewing the video vignette, and by reading each health state description. The redundant nature of these descriptions likely explains much of this effect. Importantly, other groups using MTurk have reported similar lack of importance for the attention question on well-validated instruments [30].
As our sample consisted of both parents and childless respondents, it is reasonable to question how the latter group can adequately assess the utility of any pediatric health state. However, it is a common misconception that one must study an at-risk or affected to quantify the utility of a given health-state; this approach actually inflates utility scores and makes them less meaningful. The standard in cost-utility and cost-effectiveness research is to assess various health-states from a societal perspective, not a parental or patient perspective [5,6,31–33]. Thus, inclusion of parents and non-parents alike in this TTO utility calculation is the most appropriate route.
Finally, as we asked respondents to evaluate the TTO based on both the child’s and the parents’ perceived distress, our utility values may not be fully comparable with those in other studies which took an exclusively parental- or child-centric view, instead of evaluating the combined utility [5]. This question is currently under study.
Conclusion
Using a novel online platform, we estimate the utility value of pre-operative VUR states as 0.98, regardless of CAP use or UTI occurrence. The immediate post-operative period demonstrated a reduced annualized utility of 0.94. These values are commensurate with those collected by traditional TTO interview methods, suggesting that online utility elicitation may be feasible.
Acknowledgments
Funding
Dr. Routh is supported by grant number K12-DK100024 from the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) and Dr. Nelson is supported by grant number K23-DK088943 from NIDDK. The funding sources had no role in the collection, analysis and interpretation of data; in the writing of the manuscript; or in the decision to submit the manuscript for publication.
Footnotes
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Conflict of interest
Dr. Wiener has served as a consultant to Eli Lilly & Company.
References
- 1.Bailey RR. The relationship of vesico-ureteric reflux to urinary tract infection and chronic pyelonephritis-reflux nephropathy. Clin Nephrol. 1973;1:132–141. [PubMed] [Google Scholar]
- 2.Shah KJ, Robins DG, White RH. Renal scarring and vesicoureteric reflux. Arch Dis Child. 1978;53:210–217. doi: 10.1136/adc.53.3.210. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Estrada CR, Jr., Passerotti CC, Graham DA, Peters CA, Bauer SB, Diamond DA, et al. Nomograms for predicting annual resolution rate of primary vesicoureteral reflux: results from 2,462 children. J Urol. 2009;182:1535–1541. doi: 10.1016/j.juro.2009.06.053. [DOI] [PubMed] [Google Scholar]
- 4.Knudson MJ, Austin JC, Wald M, Makhlouf AA, Niederberger CS, Cooper CS. Computational model for predicting the chance of early resolution in children with vesicoureteral reflux. J Urol. 2007;178:1824–1827. doi: 10.1016/j.juro.2007.05.093. [DOI] [PubMed] [Google Scholar]
- 5.Prosser LA, Hammitt JK, Keren R. Measuring health preferences for use in cost-utility and cost-benefit analyses of interventions in children: theoretical and methodological considerations. Pharmacoeconomics. 2007;25:713–726. doi: 10.2165/00019053-200725090-00001. [DOI] [PubMed] [Google Scholar]
- 6.Carroll AE, Downs SM. Improving decision analyses: parent preferences (utility values) for pediatric health outcomes. J Pediatr. 2009;155:21–25. doi: 10.1016/j.jpeds.2009.01.040. 5 e1–e5. [DOI] [PubMed] [Google Scholar]
- 7.Routh JC, Bogaert GA, Kaefer M, Manzoni G, Park JM, Retik AB, et al. Vesicoureteral reflux: current trends in diagnosis, screening, and treatment. Eur Urol. 2012;61:773–782. doi: 10.1016/j.eururo.2012.01.002. [DOI] [PubMed] [Google Scholar]
- 8.Carpenter MA, Hoberman A, Mattoo TK, Mathews R, Keren R, Chesney RW, et al. The RIVUR Trial: Profile and Baseline Clinical Associations of Children With Vesicoureteral Reflux. Pediatrics. 2013;132(1):e34–e45. doi: 10.1542/peds.2012-2301. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.La Scola C, De Mutiis C, Hewitt IK, Puccio G, Toffolo A, Zucchetta P, et al. Different guidelines for imaging after first UTI in febrile infants: yield, cost, and radiation. Pediatrics. 2013;131:e665–e671. doi: 10.1542/peds.2012-0164. [DOI] [PubMed] [Google Scholar]
- 10.Routh JC, Grant FD, Kokorowski PJ, Nelson CP, Fahey FH, Treves ST, et al. Economic and radiation costs of initial imaging approaches after a child's first febrile urinary tract infection. Clin Pediatr. 2012;51:23–30. doi: 10.1177/0009922811417294. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Benoit RM, Peele PB, Cannon GM, Jr., Docimo SG. The cost-effectiveness of dextranomer/hyaluronic acid copolymer for the management of vesicoureteral reflux. 2. Reflux correction at the time of diagnosis as a substitute for traditional management. J Urol. 2006;176:2649–2653. doi: 10.1016/j.juro.2006.08.054. discussion 53. [DOI] [PubMed] [Google Scholar]
- 12.Fann PC, Yen AM, Chen HH. Patient Utility Measurement for Managing Ureteral Stones: A Modified Standard Gamble Approach. Value in Health. 2012;1:87–92. doi: 10.1016/j.vhri.2012.03.004. [DOI] [PubMed] [Google Scholar]
- 13.Taylor MJ, Elgazzar HA, Chaplin S, Goldsmith D, Molony DA. An economic evaluation of sevelamer in patients new to dialysis. Curr Med Res Opin. 2008;24:601–608. doi: 10.1185/030079908x260853. [DOI] [PubMed] [Google Scholar]
- 14.Pink J, Lane S, Hughes DA. Mechanism-based approach to the economic evaluation of pharmaceuticals: pharmacokinetic/pharmacodynamic/pharmacoeconomic analysis of rituximab for follicular lymphoma. Pharmacoeconomics. 2012;30:413–429. doi: 10.2165/11591540-000000000-00000. [DOI] [PubMed] [Google Scholar]
- 15.Hoshi SL, Kondo M, Okubo I. Economic evaluation of vaccination programme of 7-valent pneumococcal conjugate vaccine to the birth cohort in Japan. Vaccine. 2012;30:3320–3328. doi: 10.1016/j.vaccine.2012.02.033. [DOI] [PubMed] [Google Scholar]
- 16.Ogan K, Pohl HG, Carlson D, Belman AB, Rushton HG. Parental preferences in the management of vesicoureteral reflux. J Urol. 2001;166:240–243. [PubMed] [Google Scholar]
- 17.Hsieh MH, Swana HS, Baskin LS, Meng MV. Cost-utility analysis of treatment algorithms for moderate grade vesicoureteral reflux using Markov models. J Urol. 2007;177:703–709. doi: 10.1016/j.juro.2006.10.002. discussion 9. [DOI] [PubMed] [Google Scholar]
- 18.Capozza N, Lais A, Matarazzo E, Nappo S, Patricolo M, Caione P. Treatment of vesicoureteric reflux: a new algorithm based on parental preference. BJU Int. 2003;92:285–288. doi: 10.1046/j.1464-410x.2003.04325.x. [DOI] [PubMed] [Google Scholar]
- 19.Lee GM, Salomon JA, LeBaron CW, Lieu TA. Health-state valuations for pertussis: methods for valuing short-term health states. Health Qual Life Outcomes. 2005;3:17. doi: 10.1186/1477-7525-3-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Lieu TA, McGuire TG, Hinman AR. Overcoming economic barriers to the optimal use of vaccines. Health Affairs. 2005;24:666–679. doi: 10.1377/hlthaff.24.3.666. [DOI] [PubMed] [Google Scholar]
- 21.Bala MV, Wood LL, Zarkin GA, Norton EC, Gafni A, O'Brien BJ. Are health states "timeless"? The case of the standard gamble method. J Clin Epidemiol. 1999;52:1047–1053. doi: 10.1016/s0895-4356(99)00074-8. [DOI] [PubMed] [Google Scholar]
- 22.Buhrmester MD, Kwang T, Gosling SD. Amazon's Mechanical Turk: A New Source of Inexpensive, Yet High-Quality, Data? Perspectives on Psychological Science. 2012 doi: 10.1177/1745691610393980. In Press. [DOI] [PubMed] [Google Scholar]
- 23.Berinsky AJ, Huber GA, Lenz GS. Evaluating Online Labor Markets for Experimental Research: Amazon.com’s Mechanical Turk. Political Analysis. 2012;20:351–368. [Google Scholar]
- 24.Yu B, Willis M, Sun P, Wang J. Crowdsourcing participatory evaluation of medical pictograms using Amazon Mechanical Turk. J Med Internet Res. 2013;15:e108. doi: 10.2196/jmir.2513. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Sprouse J. A validation of Amazon Mechanical Turk for the collection of acceptability judgments in linguistic theory. Behav Res Methods. 2011;43:155–167. doi: 10.3758/s13428-010-0039-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Simons DJ, Chabris CF. Common (mis)beliefs about memory: a replication and comparison of telephone and Mechanical Turk survey methods. PLoS One. 2012;7:e51876. doi: 10.1371/journal.pone.0051876. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Amir O, Rand DG, Gal YK. Economic games on the internet: the effect of $1 stakes. PLoS One. 2012;7:e31461. doi: 10.1371/journal.pone.0031461. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Draugalis JR, Coons SJ, Plaza CM. Best practices for survey research reports: a synopsis for authors and reviewers. Am J Pharm Educ. 2008;72:11. doi: 10.5688/aj720111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Stiggelbout AM, Kiebert GM, Kievit J, Leer JW, Stoter G, de Haes JC. Utility assessment in cancer patients: adjustment of time tradeoff scores for the utility of life years and comparison with standard gamble scores. Med Dec Making. 1994;14:82–90. doi: 10.1177/0272989X9401400110. [DOI] [PubMed] [Google Scholar]
- 30.Peer E, Vosgerau J, Acquisti A. Reputation as a sufficient condition for data quality on Amazon Mechanical Turk. Behav Res Methods. 2013 Dec 20; doi: 10.3758/s13428-013-0434-y. [Epub ahead of print] [DOI] [PubMed] [Google Scholar]
- 31.Wright DR, Wittenberg E, Swan JS, Miksad RA, Prosser LA. Methods for measuring temporary health States for cost-utility analyses. Pharmacoeconomics. 2009;27:713–723. doi: 10.2165/11317060-000000000-00000. [DOI] [PubMed] [Google Scholar]
- 32.Prosser LA, Kuntz KM, Bar-Or A, Weinstein MC. Patient and community preferences for treatments and health states in multiple sclerosis. Mult Scler. 2003;9:311–319. doi: 10.1191/1352458503ms903oa. [DOI] [PubMed] [Google Scholar]
- 33.Gold MR, Siegel JE, Russell LB, Weinstein MC. Cost-Effectiveness in Health and Medicine. New York: Oxford University Press; 1996. [Google Scholar]
