scholarly journals Eliciting gastric cancer survivors’ preferences for follow-up services: a discrete choice experiment protocol

BMJ Open ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. e049742
Author(s):  
Hui-qin Li ◽  
Jin-hua Han ◽  
Hua Yuan ◽  
Guang-ying Wan ◽  
Hui Xue ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cancer Survivors ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Logit Model ◽  
Choice Experiment ◽  
Fractional Factorial ◽  
Discrete Choice Experiments ◽  
Follow Up Care

IntroductionFollow-up care is important for gastric cancer survivors, but follow-up strategies for gastric cancer survivors remain inconsistent, and compliance of gastric cancer survivors with follow-up care is very low. Understanding the needs and preferences of gastric cancer survivors is conducive to developing appropriate and acceptable follow-up strategies, thereby improving patient compliance. Discrete choice experiments can quantify individual needs and preferences. However, to date, there is no discrete choice experiment on the preferences of gastric cancer survivors, and no studies have examined how gastric cancer survivors make choices based on different characteristics of follow-up. This paper outlines an ongoing discrete choice experiment that aims to (1) explore follow-up service-related characteristics that may affect gastric cancer survivors’ choices about their follow-up, (2) elicit how gastric cancer survivors consider the trade-offs among different follow-up service options using discrete choice experiment, (3) determine whether gastric cancer survivors’ needs and preferences for follow-up vary due to the economy, politics, technology and culture in different regions.Methods and analysisSix attributes were developed through a literature review, semistructured interviews and experts and focus group discussions. A fractional factorial design was used to evaluate the interaction between attributes. A multiple logit model will be used to understand the trade-off between the follow-up characteristics of gastric cancer survivors. A mixed logit model will be used to explore the willingness to pay and uptake rate of gastric cancer survivors for follow-up attributes and further explore the preferences of different groups.Ethics and disseminationThis study was approved by the ethics committee of the School of Nursing, Jilin University. The results of this study will be shared through online blogs, policy briefs, seminars and peer-reviewed journal articles and will be used to modify the current strategy of gastric cancer survivors’ follow-up services according to economic development and regional culture.

scholarly journals Preferences of Gastric Cancer Survivors for Follow-up Care---A Multicenter Discrete Choice Experiment Study

2021 ◽  
Author(s):  
Hui-qin Li ◽  
Hua Yuan ◽  
Guang-ying Wan ◽  
Hui Xue ◽  
Xiu-ying Zhang
Keyword(s):  
Gastric Cancer ◽  
Cancer Survivors ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Specialist Nurse ◽  
Multiple Attribute ◽  
Follow Up Care ◽  
Attribute Levels

Abstract Purposes: The purposes of this discrete choice experiment are as follows:1.To investigate the preference of gastric cancer survivors for follow-up care.2.To quantify the importance of follow-up care-related characteristics that may affect the gastric cancer survivors’ choices of their follow-up, so as to provide references for development of the follow-up strategy of gastric cancer survivors.Methods: Discrete choice experimental design principles was applied to develop the survey instrument. All questionnaires were filled out by the respondents and collected on site. A mixed logit model was used to estimate gastric cancer survivors’ preferences. Willingness to pay estimates and simulations of follow-up uptake rates were calculated.Results: All six attributes are significant important for the follow-up care of gastric cancer survivors (p＜0.05). Achieving very thorough follow-up contents was the most valued attribute level (coefficient=1.995). Specialist doctors are the most preferred providers, followed by specialist nurses and gastric cancer survivors were willing to pay more for these attribute levels. Changes in attribute levels affected uptake rate of follow-up. When the multiple attribute levels were changed at the same time, a very thorough follow-up contents provided by the same specialist doctor (specialist nurse), the probability of receiving follow-up increases by 95.82% (94.90%).Conclusions: The characteristics of follow-up care in our study reflect the health management services expectations of gastric cancer survivors. A dedicated specialist nurse involved in follow-up care should be developed to contributes to solve the complex and multifaceted personal needs of gastric cancer survivors.

scholarly journals What do patients and dermatologists prefer regarding low-risk basal cell carcinoma follow-up care? A discrete choice experiment

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0249298
Author(s):  
Sven van Egmond ◽  
Esther de Vries ◽  
Loes Hollestein ◽  
Maarten Bastiaens ◽  
Kees-Peter de Roos ◽  
...  
Keyword(s):  
Basal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Basal Cell ◽  
Choice Experiment ◽  
Latent Class ◽  
Low Risk ◽  
Follow Up Care

Background Follow-up after low-risk basal cell carcinoma (BCC) is being provided more frequently than recommended by guidelines. To design an acceptable strategy to successfully reduce this ‘low-value’ care, it is important to obtain insights into the preferences of patients and dermatologists. Objective To determine the preferences and needs of patients and dermatologists to reduce low-risk BCC follow-up care, and the trade-offs they are willing to make. Methods A questionnaire including a discrete choice experiment was created, containing attributes regarding amount of follow-up, continuity of care, method of providing addition information, type of healthcare provider, duration of follow-up visits and skin examination. In total, 371 BCC patients and all Dutch dermatologists and dermatology residents (n = 620) were invited to complete the questionnaire. A panel latent class model was used for analysis. Results Eighty-four dermatologists and 266 BCC patients (21% and 72% response rates respectively) completed the discrete choice experiment. If the post-treatment visit was performed by the same person as treatment provider and a hand-out was provided to patients containing personalised information, the acceptance of having no additional follow-up visits (i.e. following the guidelines) would increase from 55% to 77% by patients. Female patients and older dermatologists, however, are less willing to accept the guidelines and prefer additional follow-up visits. Limitations The low response rate of dermatologists. Conclusion This discrete choice experiment revealed a feasible strategy to substantially reduce costs, while maintaining quality of care, based on the preferences and needs of BCC patients, which is supported by dermatologists.

scholarly journals Location, Location, Location: A Discrete Choice Experiment to Inform Vaccination Programme Delivery in the UK

2021 ◽  
Author(s):  
Robert McPhedran ◽  
Natalie Gold ◽  
Charlotte Bemand ◽  
Dale Weston ◽  
Rachel Rosen ◽  
...  
Keyword(s):  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Vaccination Programme ◽  
Logit Model ◽  
Choice Experiment ◽  
Large Scale ◽  
Mixed Logit ◽  
Fractional Factorial ◽  
Delivery Mode ◽  
The Uk

Abstract BackgroundLarge-scale vaccination is fundamental to combatting COVID-19. In March 2021, the UK’s vaccination programme had delivered vaccines to large proportions of older and more vulnerable population groups; however, there was concern that uptake would be lower among young people. This research was designed to elicit the preferences of 18-29-year-olds with respect to key delivery characteristics.MethodsFrom 25 March - 2 April 2021, an online sample of 2,021 UK adults aged 18-29 years participated in a Discrete Choice Experiment. Participants made six choices, each between two SMS invitations to get vaccinated; each choice also had an opt-out. Each invitation had four attributes (1 x 5 levels, 3 x 3 levels): delivery mode, appointment timing, proximity, and SMS sender. These were systematically varied according to a d-optimal fractional factorial design. Order of presentation was randomised for each participant. Responses were analysed using a mixed logit model.ResultsThe logit model revealed a large alternative-specific constant (β = 1.385, SE = 0.067, p <0.001), indicating a strong preference for ‘opting in’ to appointment invitations. Pharmacies were dispreferred to the local vaccination centre (β = -0.256, SE = 0.072, p <0.001), appointments in locations that were 30-45 minutes travel time from one’s premises were dispreferred to locations that were less than 15 minutes away (β = -0.408, SE = 0.054, p <0.001), and, compared to invitations sent by the NHS, SMSs forwarded by ‘a friend’ were dispreferred (β = -0.615, SE = 0.056, p <0.001) but invitations from the General Practitioner were preferred (β = 0.105, SE = 0.048, p = 0.028).ConclusionsThe results indicated that the existing configuration of the UK’s mass vaccination programme was well-placed to deliver vaccines to 18-29-year-olds; however, some adjustments might enhance acceptance. Local pharmacies were not preferred; long travel times were a disincentive but close proximity (0-15 minutes from one’s premises) was not necessary; and either the ‘NHS’ or ‘Your GP’ would serve as adequate invitation sources. This research informed COVID-19 policy in the UK, and contributes to a wider body of Discrete Choice Experiment evidence on citizens’ preferences, requirements and predicted behaviours regarding COVID-19.

scholarly journals Penentuan Kriteria Pengunjung dalam Pemilihan Green Hotel di Kota Bandung Menggunakan Metode Discrete Choice Experiment dengan Desain Choice Sets Kombinatorial

2021 ◽  
Vol 1 (1) ◽  
pp. 1-9
Author(s):  
Sheila Ghazia Shofwani ◽  
Abdul Kudus
Keyword(s):  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Green Building ◽  
Preference Assessment ◽  
The United States ◽  
Fractional Factorial ◽  
Discrete Choice Experiments ◽  
Green Hotel ◽  
Choice Sets

Abstract. This research discusses about planning of guest formulation in the selection of environmentally green hotels by using a 2k-p factorial fractional design and combinatorial choice sets on the Discrete Choice Experiment method. Discrete Choice Experiments is a quantitative method for survey-based respondents' preference assessment. This method asks respondents to choose the preferred choice from several alternative choices provided. With this method the authors will apply to the case of green hotel selection, because currently in the United States, investors are beginning to look at green building opportunities as a long-term investment in accordance with the operational costs of green buildings that are more efficient than conventional buildings. The concept of green building is one of the efforts to save energy that can be applied to a building. The material of this study is primary data by distributing questionnaires to respondents using voluntary sampling techniques. In this study, there are 8 independent variables consisting of 5 attribute variables and 3 respondent identity variables. This study aims to determine the criteria for visitors in choosing the most desirable green hotel. The results of this study are the results of green hotel research that is most sought after by visitors, namely hotels with quality luxury rooms, toiletries provided, visitors are required to improve the environment, there is the practice of using plastic on product packaging, and there is the use of lamps as well as energy-saving equipment. After further analysis of the demographics of respondents regarding the preference of the selected green hotel criteria for each respondent, and the results obtained at the time, gender, occupation and experience of staying in a green hotel together are not related to the involvement of the selected green hotel criteria chosen from each respondent. Abstrak. Skripsi ini membahas mengenai penentuan rancangan kriteria pengunjung dalam pemilihan hotel ramah lingkungan (green hotel) dengan menggunakan desain fractional factorial 2k-p dan choice sets kombinatorial pada metode Discrete Choice Experiment. Discrete Choice Experiment merupakan metode kuantitatif untuk menilai suatu preferensi seorang responden yang berbasis survei. Metode ini meminta responden untuk memilih pilihan yang diminati dari beberapa alternatif pilihan yang disediakan. Dengan metode ini penulis akan melakukan penerapan pada kasus pemilihan kriteria green hotel, karena saat ini di Amerika Serikat, para investor mulai melirik peluang green building sebagai investasi jangka panjang dikarenakan biaya operasional green building yang lebih hemat dibandingkan bangunan konvensional. Konsep green building merupakan salah satu upaya penghematan energi yang dapat diterapkan pada suatu gedung. Bahan dari penelitian ini merupakan data primer dengan melakukan penyebaran kuesioner kepada responden dengan menggunakan teknik sampling sukarela. Pada penelitian ini, terdapat 8 variabel independen yang terdiri dari 5 variabel atribut dan  3 variabel identitas responden. Penelitian ini bertujuan untuk mengetahui kriteria pengunjung dalam memilih green hotel yang paling diminati. Hasil dari penelitian ini adalah didapatkan kriteria green hotel yang paling diminati oleh pengunjung yaitu hotel dengan kualitas kamar mewah, perlengkapan mandi disediakan, pengunjung diwajibkan untuk menjaga lingkungan, ada praktik penggunaan plastik pada kemasan produk, dan ada penggunaan lampu juga peralatan hemat energi. Setelah itu dilakukan analisis lanjutan mengenai pengaruh dari demografi responden terhadap banyaknya keterpilihan kriteria green hotel terpilih pada setiap responden, dan diperoleh hasil bahwa usia, jenis kelamin, pekerjaan dan pengalaman menginap di green hotel secara bersama-sama tidak berpengaruh terhadap banyaknya keterpilihan kriteria green hotel terpilih dari setiap responden.

scholarly journals Patient Preferences For Specialty Pharmacy Services: A Stated Preference Discrete-Choice Experiment in China

2020 ◽  
Vol 8 ◽  
Author(s):  
Qinyuan Hu ◽  
Haiyao Hu ◽  
Ming Hu ◽  
Yumei Yang ◽  
Zhiang Wu ◽  
...  
Keyword(s):  
Drug Delivery ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Stated Preference ◽  
Mixed Logit ◽  
Fractional Factorial ◽  
Pharmacy Services ◽  
Specialty Pharmacy

Objectives: To survey, analyze, and ascertain the preferences for specialty pharmacy services among patients requiring complex care and to provide evidence to support specialty pharmacy service decision-making in China.Methods: To identify essential service attributes and levels, a review of the literature, discussions with specialty pharmacy managers and a pilot questionnaire were conducted. A D-efficient fractional factorial design was used to generate the discrete-choice experiment (DCE) questionnaire. A face-to-face survey of patients with chronic illness and their families or friends was conducted at three specialty pharmacies in Chengdu and Qingdao, China. A mixed logit model was used for estimation.Results: Six relevant attributes were identified and incorporated into the DCE questionnaire. A total of 417 participants completed the survey (mean age 43 years, 45.1% males), and 32.1% had lung cancer. The conditional relative importance showed that the most critical attribute was “frequency of telephone follow-up to monitor adverse drug reactions (ADRs), “followed by “mode of drug delivery,” “provider of medication guidance services,” and “availability of medical insurance consultation”; the least important attribute was “business hours.” A 1 min increase in time spent led to a 0.73% decrease in the probability that a service profile would be chosen. Negative preferences were noted for ADR monitoring by telephone follow-up once a year (β = −0.23, p &lt; 0.001) and business hours [8:30–20:00 (Monday to Friday), 8:30–17:30 (weekend)] (β = −0.12, p &lt; 0.001). Compared with women, men had a higher preference for service monitoring ADRs once every 3 months.Conclusions: Preference measurements showed that “frequency of telephone follow-up to monitor ADRs” had the most critical impact on decisions, followed by “mode of drug delivery.” Specialty pharmacies in China need to take these findings into account to improve their design to increase uptake and patient loyalty.

scholarly journals Patient preferences for use of virtual consultations in an orthopaedic rehabilitation setting: Results from a discrete choice experiment

2021 ◽  
pp. 135581962110354
Author(s):  
Anthony W Gilbert ◽  
Emmanouil Mentzakis ◽  
Carl R May ◽  
Maria Stokes ◽  
Jeremy Jones
Keyword(s):  
Conceptual Model ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Patient Preferences ◽  
Choice Experiment ◽  
Best Practice ◽  
Time Of Day ◽  
Problem Area ◽  
Fractional Factorial ◽  
The Impact

Objective Virtual Consultations may reduce the need for face-to-face outpatient appointments, thereby potentially reducing the cost and time involved in delivering health care. This study reports a discrete choice experiment (DCE) that identifies factors that influence patient preferences for virtual consultations in an orthopaedic rehabilitation setting. Methods Previous research from the CONNECT (Care in Orthopaedics, burdeN of treatmeNt and the Effect of Communication Technology) Project and best practice guidance informed the development of our DCE. An efficient fractional factorial design with 16 choice scenarios was created that identified all main effects and partial two-way interactions. The design was divided into two blocks of eight scenarios each, to reduce the impact of cognitive fatigue. Data analysis were conducted using binary logit regression models. Results Sixty-one paired response sets (122 subjects) were available for analysis. DCE factors (whether the therapist is known to the patient, duration of appointment, time of day) and demographic factors (patient qualifications, access to equipment, difficulty with activities, multiple health issues, travel costs) were significant predictors of preference. We estimate that a patient is less than 1% likely to prefer a virtual consultation if the patient has a degree, is without access to the equipment and software to undertake a virtual consultation, does not have difficulties with day-to-day activities, is undergoing rehabilitation for one problem area, has to pay less than £5 to travel, is having a consultation with a therapist not known to them, in 1 weeks’ time, lasting 60 minutes, at 2 pm. We have developed a simple conceptual model to explain how these factors interact to inform preference, including patients’ access to resources, context for the consultation and the requirements of the consultation. Conclusions This conceptual model provides the framework to focus attention towards factors that might influence patient preference for virtual consultations. Our model can inform the development of future technologies, trials, and qualitative work to further explore the mechanisms that influence preference.

scholarly journals Improving the demand for birth registration: a discrete choice experiment in Ethiopia

2020 ◽  
Vol 5 (5) ◽  
pp. e002209 ◽  
Author(s):  
Mahari Yihdego ◽  
Ayanaw Amogne ◽  
Selamawit Desta ◽  
Yoonjoung Choi ◽  
Solomon Shiferaw ◽  
...  
Keyword(s):  
Willingness To Pay ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Urban Areas ◽  
Choice Experiment ◽  
Addis Ababa ◽  
Discrete Choice Experiments ◽  
Birth Certificates ◽  
Significant Heterogeneity ◽  
Birth Registration

IntroductionBirth registration remains limited in most low and middle-income countries. We investigated which characteristics of birth registration facilities might determine caregivers’ decisions to register children in Ethiopia.MethodsWe conducted a discrete choice experiment in randomly selected households in Addis Ababa and the Southern Nations, Nationalities, and People’s Region. We interviewed caregivers of children 0–5 years old. We asked participants to make eight choices between pairs of hypothetical registration facilities. These facilities were characterised by six attributes selected through a literature review and consultations with local stakeholders. Levels of these attributes were assigned at random using a fractional design. We analysed the choice data using mixed logit models that account for heterogeneity in preferences across respondents. We calculated respondents’ willingness to pay to access registration facilities with specific attributes. We analysed all data separately by place of residence (urban vs rural).ResultsSeven hundred and five respondents made 5614 choices. They exhibited preferences for registration facilities that charged lower fees for birth certificates, that required shorter waiting time to complete procedures and that were located closer to their residence. Respondents preferred registration facilities that were open on weekends, and where they could complete procedures in a single visit. In urban areas, respondents also favoured registration facilities that remained open for extended hours on weekdays, and where the presence of only one of the parents was required for registration. There was significant heterogeneity between respondents in the utility derived from several attributes of registration facilities. Willingness to pay for access to registration facilities with particular attributes was larger in urban than rural areas.ConclusionIn these regions of Ethiopia, changes to the operating schedule of registration facilities and to application procedures might help improve registration rates. Discrete choice experiments can help orient initiatives aimed at improving birth registration.

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