Sample size requirements for stated choice experiments

Rose, John M.; Bliemer, Michiel C.J.

doi:10.1007/s11116-013-9451-z

Cited by 200 publications

(113 citation statements)

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“…Therefore, sample size calculations in stated choice experiments take a different angle: to identify the minimum number of choice observations needed to obtain reliable parameter estimates for discrete choice models using stated choice data. The latter approach is described in a recent paper 60 and was used in this study. Briefly, the method suggests that, if prior information on the coefficients of a discrete choice model is available, it is possible to identify the theoretical minimum sample size (called S-error) required for a design.…”

Section: Sample Sizementioning

confidence: 99%

“…We used the information from the pilot phase to estimate the prior coefficients associated to each attribute using a conditional logit without a constant, as suggested by Rose and Bliemer. 60 The S-error was estimated to be 1154, but we also evaluated the minimum sample size requirements for each parameter separately. Figure 20 shows the asymptotic t-ratios for different sample sizes associated with each of the attribute coefficients, with the dashed line indicating a t-ratio of 1.96 (e.g.…”

Section: Sample Sizementioning

confidence: 99%

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A cluster randomised trial of strategies to increase cervical screening uptake at first invitation (STRATEGIC)

Kitchener

Gittins

Rivero‐Arias

et al. 2016

Health Technol Assess

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BackgroundFalling participation by young women in cervical screening has been observed at a time that has seen an increase in the incidence of cervical cancer in the UK in women aged < 35 years. Various barriers to screening have been documented, including fear, embarrassment and inconvenience.ObjectivesTo measure the feasibility, clinical effectiveness and cost-effectiveness of a range of interventions to increase the uptake of cervical screening among young women.DesignA cluster randomised trial based on general practices performed in two phases.SettingPrimary care in Greater Manchester and the Grampian region in Scotland.ParticipantsPhase 1: 20,879 women receiving their first invitation for cervical screening. Phase 2: 10,126 women who had not attended by 6 months.InterventionsPhase 1: pre-invitation leaflet or not, and access to online booking (Manchester only). Phase 2: (1) vaginal self-sampling kits (SSKs) sent unrequested (n = 1141); or (2) offered on request (n = 1290); (3) provided with a timed appointment (n = 1629); (4) offered access to a nurse navigator (NN) (n = 1007); or (5) offered a choice between a NN or a SSK (n = 1277); and 3782 women in control practices.Main outcome measuresUplift in screening compared with control practices, cost-effectiveness of interventions, and the women’s preferences explored in a discrete choice experiment.ResultsThe pre-invitation leaflet and offer of online booking were ineffective when compared with control practices at 3 months, 18.8% versus 19.2% [odds ratio (OR) 0.96, 95% confidence interval (CI) 0.88 to 1.06;p = 0.485] and 17.8% versus 17.2% (OR 1.02, 95% CI 0.87 to 1.20;p = 0.802), respectively. The uptake of screening at 3 months was higher among previously human papillomavirus (HPV)-vaccinated women than unvaccinated women, 23.7% versus 11% (OR 2.07, 95% CI 1.69 to 2.53;p < 0.001). Among non-attenders, the SSK sent intervention showed a statistically significant increase in uptake at 12 months post invitation, 21.3% versus 16.2% (OR 1.51, 95% CI 1.20 to 1.91;p = 0.001), as did timed appointments, 19.8% versus 16.2% (OR 1.41, 95% CI 1.14 to 1.74;p = 0.001). The offer of a NN, a SSK on request, and a choice between timed appointments and NN were ineffective. Overall, there was a gradual rather than prompt response, as demonstrated by uptake among control practices. A discrete choice experiment indicated that women invited who had not yet attended valued the attributes inherent in self-sampling. The health economic analysis showed that both timed appointments and unsolicited SSK sent were likely to be cost-effective at a cost per quality-adjusted life-year (QALY) gained of £7593 and £8434, respectively, if extended across the national 25-year-old cohort throughout the duration of screening. The certainty of these being cost-effective at a ceiling ratio of £20,000 per QALY gained was > 90%.ConclusionWomen receiving their initial screening invitation frequently delay taking up the offer and the net impact of interventions was small. Timed appointments and SSKs sent to non-attenders at 6 months are likely to be a cost-effective means of increasing uptake and should be considered further. HPV vaccination in the catch-up programme was associated with an increased uptake of cervical screening. Future work should focus on optimising self-sampling in terms of age range, timing of offer for non-attenders and use of urine testing instead of vaginal samples.Trial registrationCurrent Controlled Trials ISRCTN52303479.FundingThis project was funded by the NIHR Health Technology Assessment programme and will be published in full inHealth Technology Assessment; Vol. 20, No. 68. See the NIHR Journals Library website for further project information.

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Section: Sample Sizementioning

confidence: 99%

Section: Sample Sizementioning

confidence: 99%

A cluster randomised trial of strategies to increase cervical screening uptake at first invitation (STRATEGIC)

Kitchener

Gittins

Rivero‐Arias

et al. 2016

Health Technol Assess

View full text Add to dashboard Cite

show abstract

“…De Bekker-Grob et al (2015), for example, perform a meta-analysis of 69 CEs and report that 32 % have sample sizes smaller than 100 respondents. In addition, Rose and Bliemer (2013) show that, for efficient designs, having around 50 respondents is acceptable.…”

Section: Data Collectionmentioning

confidence: 98%

A livelihood in a risky environment: Farmers’ preferences for irrigation with wastewater in Hyderabad, India

Saldías

Speelman

Drechsel

et al. 2016

Ambio

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Most cities in developing countries fail to treat their wastewater comprehensively. Consequently, farmers downstream use poor-quality water for irrigation. This practice implies risks for farmers, consumers and the environment. Conversely, this water supply supports the livelihood of these farmers and other stakeholders along the value chains. Linking safer options for wastewater management with irrigation could therefore be a win-win solution: removing the risks for society and maintaining the benefits for farmers. However, in developing countries, the high investment costs for the required treatment are problematic and the willingness of farmers to pay for the water (cost recovery) is often questionable. Using a choice experiment, this paper gives insight into farmers' preferences for wastewater use scenarios, quantifying their willingness to pay. The case study is Hyderabad, India. Farmers there prefer water treatment and are prepared to pay a surplus for this. Considering the costrecovery challenge, this information could be valuable for planning small on site wastewater treatment systems.

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“…choice-metrics.com). The final design had a d error of 0.12 and consisted of 12 choice sets of three alternative dialysis modalities (home hemodialysis [HD], peritoneal dialysis [PD], and facility HD) (22).…”

Section: Survey Designmentioning

confidence: 99%

A Discrete Choice Study of Patient Preferences for Dialysis Modalities

Walker

Morton

Palmer

et al. 2017

CJASN

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Background and objectives Improved knowledge about factors that influence patient choices when considering dialysis modality could facilitate health care interventions to increase rates of home dialysis. We aimed to quantify the attributes of dialysis care and the tradeoffs that patients consider when making decisions about dialysis modalities.Design, setting, participants, & measurements We conducted a prospective, discrete choice experiment survey with random parameter logit analysis to quantify preferences and tradeoffs for attributes of dialysis treatment in 143 adult patients with CKD expected to require RRT within 12 months (predialysis). The attributes included schedule flexibility, patient out of pocket costs, subsidized transport services, level of nursing support, life expectancy, dialysis training time, wellbeing on dialysis, and dialysis schedule (frequency and duration). We reported outcomes using b-coefficients with corresponding odds ratios and 95% confidence intervals for choosing home-based dialysis (peritoneal dialysis or hemodialysis) compared with facility hemodialysis.Results Home-based therapies were significantly preferred with the following attributes: longer survival (odds ratio per year, 1.63; 95% confidence interval, 1.25 to 2.12), increased treatment flexibility (odds ratio, 9.22; 95% confidence interval, 2.71 to 31.3), improved wellbeing (odds ratio, 210; 95% confidence interval, 15 to 2489), and more nursing support (odds ratio, 87.3; 95% confidence interval, 3.8 to 2014).

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Sample size requirements for stated choice experiments

Cited by 200 publications

References 13 publications

A cluster randomised trial of strategies to increase cervical screening uptake at first invitation (STRATEGIC)

A cluster randomised trial of strategies to increase cervical screening uptake at first invitation (STRATEGIC)

A livelihood in a risky environment: Farmers’ preferences for irrigation with wastewater in Hyderabad, India

A Discrete Choice Study of Patient Preferences for Dialysis Modalities

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