A best–worst scaling in Colombian patients to rank the characteristics of HIV/AIDS treatment

Hendriks, Arnolf F. W.; Wijnen, Ben; Engelen, R van; Conde, Rafael; Evers, Silvia M. A. A.; Gonzalez, Javier G. R.; Govers, Mark; Mühlbacher, Axel; Hiligsmann, Mickaël

doi:10.1080/13696998.2018.1440401

Cited by 11 publications

(19 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…short-term (physical activity) and longterm (life expectancy)) the most important attributes. These findings are in line with a previous best-worst scaling that was conducted in Colombia and revealed that efficacy and prolonging life expectancy were the most important attributes 22 . Our study, using a DCE, offers the advantage to assess the trade-offs between the most important attributes.…”

Section: Discussionsupporting

confidence: 91%

“…First, a literature review in PubMed was conducted to examine which attributes were used in previous DCEs on patients' preferences in HIV treatment [16][17][18][19][20][21]30 . In addition, a previous best-worst scaling study of Hendriks et al 22 , which identified the most important treatment characteristics of HIV patients in Colombia, was used as the main basis for the attributes of the present study. Then, two independent researchers (AG and ES) blindly conducted a first selection.…”

Section: Attributes and Levelsmentioning

confidence: 99%

“…Over the last years, several preference studies on HIV treatment have been conducted in developed countries [16][17][18] , revealing the importance of efficacy of treatment and quality-of-life for HIV patients. Likewise some preference studies were conducted in developing countries, including Tanzania 19 , Thailand 20 , South Africa 21 , and Colombia 22 . Only the Colombian study specifically elicited patients' preferences for HIV/AIDS treatment.…”

Section: Introductionmentioning

confidence: 99%

“…The aim of the present study is therefore to elicit patients' preferences for HIV treatment in the rural population of Colombia. Based on a previous best-worst scaling assessing important HIV treatment characteristics in Colombia 22 , a DCE was conducted to examine the trade-off between the most important treatment characteristics and to examine if these treatment preferences are influenced by patient characteristics (e.g. age, gender, education, and sexual preference).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A discrete choice experiment to assess patients’ preferences for HIV treatment in the rural population in Colombia

Goossens

Cheung

Sijstermans

et al. 2020

Journal of Medical Economics

Self Cite

View full text Add to dashboard Cite

Aim: To elicit patients' preferences for HIV treatment of the rural population in Colombia. Methods: A discrete choice experiment (DCE), conducted in a HIV clinic in Bogot a, was used to examine the trade-off between five HIV treatment attributes: effect on life expectancy, effect on physical activity, risk of moderate side-effects, accessibility to clinic, and economic costs to access controls. Attributes selection was based on literature review, expert consultation and a focus group with six patients. An efficient experimental design was used to define two versions of the questionnaire with each of 12 choice sets and a dominance task was added to check reliability. A mixed logit model was then used to analyse the data and subgroup analyses were conducted on the basis of age, gender, education, and sexual preference. Results: A total of 129 HIV patients were included for analysis. For all treatment attributes, significant differences between at least two levels were observed, meaning that all attributes were significant predictors of choice. Patients valued the effect on physical activity (conditional relative importance of 27.5%) and the effect on life expectancy (26.0%) the most. Subgroup analyses regard age and education showed significant differences: younger patients and high educated patients valued the effect on physical activity the most important, whereas older patients mostly valued the effect on life expectancy and low educated patients mostly valued the accessibility to clinic. Limitations: One potential limitation is selection bias, as only patients from one HIV clinic were reached. Additionally, questionnaires were partly administered in the waiting rooms, which potentially led to noise in the data. Conclusions: This study suggests that all HIV treatment characteristics included in this DCE were important and that HIV patients from rural Colombia valued short-term efficacy (i.e. effect on physical activity) and long-term efficacy (i.e. effect on life expectancy) the most.

show abstract

Section: Discussionsupporting

confidence: 91%

Section: Attributes and Levelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A discrete choice experiment to assess patients’ preferences for HIV treatment in the rural population in Colombia

Goossens

Cheung

Sijstermans

et al. 2020

Journal of Medical Economics

Self Cite

View full text Add to dashboard Cite

show abstract

“…We previously conducted a bestworst scaling to elicit the most important HIV/AIDS treatment characteristics in Colombia. This study revealed that Colombian patients mostly valued drug efficacy, maximum prolongation of life and long duration of efficacy 13 .…”

Section: Introductionmentioning

confidence: 86%

A discrete choice experiment to assess patients’ preferences for HIV treatment in the urban population in Colombia

Sijstermans

Cheung

Goossens

et al. 2020

Journal of Medical Economics

Self Cite

View full text Add to dashboard Cite

Aim: This study aimed to assess patients' preferences for HIV treatment in an urban Colombian population. Methods: A Discrete Choice Experiment (DCE) was conducted. Urban Colombian HIV patients were asked to repetitively choose between two hypothetical treatments that differ in regard to five attributes 'effect on life expectancy', 'effect on physical activity', 'risk of moderate side effects, 'accessibility to clinic' and 'economic cost to access controls'. Twelve choice sets were made using an efficient design. A Mixed Logit Panel Model was used for the analysis and subgroup analyses were performed according to age, gender, education level and sexual preference. Results: A total of 224 HIV patients were included. All attributes were significant, indicating that there were differences between at least two levels of each attribute. Patients preferred to be able to perform all physical activity without difficulty, to have large positive effects on life expectancy, to travel less than 2 h, to have lower risk of side-effects and to have subsidized travel costs. The attributes 'effect on physical activity' and 'effects on life expectancy' were deemed the most important. Sub-analyses showed that higher educated patients placed more importance on the large positive effects of HIV treatment, and a more negative preference for subsidized travel cost (5% level). Limitations: A potential limitation is selection bias as it is difficult to make a systematic urban/rural division of respondents. Additional, questionnaires were partly administered in the waiting rooms, which potentially led to some noise in the data. Conclusions: Findings suggests that short-term efficacy (i.e. effect on physical activity) and long-term efficacy (i.e. effect on life expectancy) are the most important treatment characteristics for HIV urban patients in Colombia. Preference data could provide relevant information for clinical and policy decision-making to optimize HIV care.

show abstract

Perceived Importance of Factors in Cannabis Purchase Decisions: A Best-worst Scaling Experiment

Zhu

Guo

Cao

et al. 2021

International Journal of Drug Policy

View full text Add to dashboard Cite

A best–worst scaling in Colombian patients to rank the characteristics of HIV/AIDS treatment

Cited by 11 publications

References 15 publications

A discrete choice experiment to assess patients’ preferences for HIV treatment in the rural population in Colombia

A discrete choice experiment to assess patients’ preferences for HIV treatment in the rural population in Colombia

A discrete choice experiment to assess patients’ preferences for HIV treatment in the urban population in Colombia

Perceived Importance of Factors in Cannabis Purchase Decisions: A Best-worst Scaling Experiment

Contact Info

Product

Resources

About