Conjoint Analysis: A Research Method to Study Patients’ Preferences and Personalize Care

Al-Omari, Basem; Farhat, Joviana; Ershaid, Mai

doi:10.3390/jpm12020274

Cited by 11 publications

(5 citation statements)

References 76 publications

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“…It is one of the standard methodologies to assess the relative importance of different product features or attributes among respondents and their preference for various combinations of them. 18 ACA is particularly appropriate for products with potentially hundreds of combinations across many feature levels where information overload is problematic. 19 With ACA, the respondent is not required to indicate their preferences for each and every combination because of an adaptive algorithm that limits the number of choices presented to them by using their previous choice data to eliminate irrelevant ones.…”

Section: Methodsmentioning

confidence: 99%

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Peritoneal Dialysis (PD) Patient and Nurse Preferences around Novel and Standard Automated PD Device Features

Sloand,

Marshall,

Barnard

et al. 2024

Kidney360

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Background: Despite offering greater lifestyle benefits to patients with end stage kidney disease (ESKD), adoption of peritoneal dialysis (PD) remains low globally, particularly among minorities and the socioeconomically disadvantaged. While automated PD (APD) affords a high potential for reducing the burden of kidney replacement therapy, understanding patient preferences is critical to guiding development of new and improved APD devices to better accommodate use in their daily lives. Methods: A quantitative cross-sectional survey study was performed using adaptive conjoint analysis (ACA) to quantify APD feature preferences among PD patients, PD nurses (RNs, and non-PD patients to ascertain the relative importance of eight specific cycler attributes including portability, noise, setup time, device size, setup directions, battery power, consumables, and PD RN control (PD RNs only), each with 2-3 descriptive feature levels. Results: 42 PD patients, 24 non-PD patients, and 52 PD RNs were surveyed. Preference shares spanned nearly the entire range from 0% to 100%, indicating strong preference discrimination. For all groups, “Portability in the Home”, “Noise Level”, and “Setup time” were the most important features. PD patients gave highest priority to these features compared to other study participants, plausibly as features enabling improved lifestyle. A simulated “coat rack” style cycler with extended battery-power that was easy to move in the home, silent, required only 10-minute setup, and had a fully animated instruction screen was preferred by all groups > 90% compared to features present in existing cyclers. Conclusions: Addressing APD cycler technical and therapy-related issues to improve usability, comfort and convenience within the home may affect PD uptake and retention. Attention and priority must be given to patient centric APD cycler design directed at including features that improve quality of life for the device end-user.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Peritoneal Dialysis (PD) Patient and Nurse Preferences around Novel and Standard Automated PD Device Features

Sloand,

Marshall,

Barnard

et al. 2024

Kidney360

View full text Add to dashboard Cite

show abstract

“…The study employed a choice‐based conjoint experimental design to test our hypotheses. The design is a preference‐based method often used to scrutinize and measure preferences and reactions of respondents within the decision‐making and was developed by the statistician and psychologist John Tukey and Duncan Luce, respectively, and enjoys broad application in diverse fields of study (Al‐Omari et al., 2022).…”

Section: Introductionmentioning

confidence: 99%

Factors driving the acceptance of genetically modified food crops in Ghana

Ogwu,

Thompson,

Kosoe

et al. 2024

Food Safety and Health

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Crops produced using recombinant DNA technology have invaluable food security roles but are not broadly accepted. Food insecurity affects between 45% and 50% of the Ghanaian populace, while the debate to adopt, accept, use, and commercialize genetically modified (GM) crops is ongoing. In this study, a choice‐based conjoint experimental design was adopted to investigate factors driving the acceptance or rejection of GM crops in Ghana. Results from average marginal component effect estimation suggest that safety concern is the major driver for accepting or rejecting GM crops. This was further confirmed using predicted probabilities and marginal means estimation of community acceptance especially when it possesses certain attributes. The safer the GM crop is perceived for human consumption, health, and environment, the more likely the Ghanaian populace will accept it. In addition, yield and taste were observed to be other key driving factors to accept GM crops. Importantly, the country of patency was also observed to be a critical driving factor for whether or not a GM crop is accepted in Ghana. There is a need for active and greater engagement with the Ghanaian populace to put proper legislation, regulations, policies, and knowledge co‐creation process to ensure the proper use of GM crops.

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“…The utility of conjoint analysis as a tool for assessing consumer preference was used and established to be accurate. Conjoint analysis is a tool commonly used in consumer research and marketing that shows respondents different combinations of attributes and levels for evaluation [21]. Multiple studies used conjoint analysis, such as a study by Li [20], which used conjoint analysis to find public preference for EVs using incentive policies in China.…”

Section: Introductionmentioning

confidence: 99%

Marketing Strategy and Preference Analysis of Electric Cars in a Developing Country: A Perspective from the Philippines

Uy,

Ong,

German

2024

WEVJ

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The wide-scale integration of electric vehicles (EVs) in developed countries represents a significant technological innovation and a step toward reducing carbon emissions from transportation. Conversely, in developing nations like the Philippines, the adoption and availability of EVs have not been as rapid or widespread compared to other countries. In identifying this gap, this study delved into the preferences and factors influencing Filipino consumers’ willingness to purchase EVs. The study gathered 311 valid responses utilizing conjoint analysis with an orthogonal approach to assess the attributes influencing customers’ purchase decisions. Conjoint analysis tools such as IBM SPSS v25 statistics were utilized to infer consumer preference. The results determined that cost is the primary concern for consumers by a considerable margin; followed by battery type and charging method; along with the type of EV, driving range, and charging speed; and most minor concern is regenerative brakes. Therefore, there is an apparent sensitivity to price and technology. This study is the first to apply conjoint analysis to the Philippine market, delivering in-depth consumer preference insights that can help manufacturers and policymakers customize their approach to making EVs more attractive and more viable in less developed markets. The results suggest that a targeted effort to overcome cost barriers and improve technological literacy among prospective buyers should be productive for speeding up EV adoption in the Philippines. The results could be extended in future research to a broader assessment of socioeconomic and environmental benefits, laying out a broader plan for promoting sustainable solutions in transportation.

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Conjoint Analysis: A Research Method to Study Patients’ Preferences and Personalize Care

Cited by 11 publications

References 76 publications

Peritoneal Dialysis (PD) Patient and Nurse Preferences around Novel and Standard Automated PD Device Features

Peritoneal Dialysis (PD) Patient and Nurse Preferences around Novel and Standard Automated PD Device Features

Factors driving the acceptance of genetically modified food crops in Ghana

Marketing Strategy and Preference Analysis of Electric Cars in a Developing Country: A Perspective from the Philippines

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