Valuing Attributes of Home Palliative Care With Service Users: A Pilot Discrete Choice Experiment

Gomes, Bárbara; Brito, Maja de; Sarmento, Vera Paiva Brandao De Napoles; Yi, Deokhee; Soares, Duarte; Fernandes, Jacinta de Jesus Borreicho Raposo; Fonseca, Bruno; Gonçalves, Edna; Ferreira, Pedro Lopes; Higginson, Irene J

doi:10.1016/j.jpainsymman.2017.05.005

Cited by 12 publications

(5 citation statements)

References 21 publications

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“…Secondly, our pilot study results were proof that study participants could consider all information in reaching a decision, place relative importance on the attributes, and make trade-offs. Similar findings were observed by Gomes et al [64] in their DCE pilot study. Also, the think-aloud exercise employed during the pilot test assisted in gauging respondents understandability of the choice tasks [12].…”

Section: Discussionsupporting

confidence: 92%

Attribute development and level selection for a discrete choice experiment to elicit the preferences of health care providers for capitation payment mechanism in Kenya

et al. 2019

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BackgroundStated preference elicitation methods such as discrete choice experiments (DCEs) are now widely used in the health domain. However, the “quality” of health-related DCEs has come under criticism due to the lack of rigour in conducting and reporting some aspects of the design process such as attribute and level development. Superficially selecting attributes and levels and vaguely reporting the process might result in misspecification of attributes which may, in turn, bias the study and misinform policy. To address these concerns, we meticulously conducted and report our systematic attribute development and level selection process for a DCE to elicit the preferences of health care providers for the attributes of a capitation payment mechanism in Kenya.MethodologyWe used a four-stage process proposed by Helter and Boehler to conduct and report the attribute development and level selection process. The process entailed raw data collection, data reduction, removing inappropriate attributes, and wording of attributes. Raw data was collected through a literature review and a qualitative study. Data was reduced to a long list of attributes which were then screened for appropriateness by a panel of experts. The resulting attributes and levels were worded and pretested in a pilot study. Revisions were made and a final list of attributes and levels decided.ResultsThe literature review unearthed seven attributes of provider payment mechanisms while the qualitative study uncovered 10 capitation attributes. Then, inappropriate attributes were removed using criteria such as salience, correlation, plausibility, and capability of being traded. The resulting five attributes were worded appropriately and pretested in a pilot study with 31 respondents. The pilot study results were used to make revisions. Finally, four attributes were established for the DCE, namely, payment schedule, timeliness of payments, capitation rate per individual per year, and services to be paid by the capitation rate.ConclusionBy rigorously conducting and reporting the process of attribute development and level selection of our DCE,we improved transparency and helped researchers judge the quality.

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Section: Discussionsupporting

confidence: 92%

Attribute development and level selection for a discrete choice experiment to elicit the preferences of health care providers for capitation payment mechanism in Kenya

et al. 2019

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“…DCE is a quantitative, choice-based approach to understanding individuals' stated preferences regarding choices related to healthcare [33][34][35][36][37][38] and consumer decision-making [39,40]. We chose a DCE over other group consensus techniques like Delphi methods because of known limitations of these other techniques, including the limited ability to discriminate between similarly-rated items and issues with scale-use bias that are inherent within rating scales [41,42].…”

Section: Overview Of Dcementioning

confidence: 99%

Developing a family-reported measure of experiences with home-based pediatric palliative and hospice care: a multi-method, multi-stakeholder approach

et al. 2021

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Background Many children with serious illnesses are receiving palliative and end-of-life care from pediatric palliative and hospice care teams at home (PPHC@Home). Despite the growth in PPHC@Home, no standardized measures exist to evaluate whether PPHC@Home provided in the U.S. meets the needs and priorities of children and their families. Methods We developed and conducted a preliminary evaluation of a family-reported measure of PPHC@Home experiences using a multi-method, multi-stakeholder approach. Our instrument development process consisted of four phases. Item identification and development (Phase 1) involved a comprehensive literature search of existing instruments, guidelines, standards of practice, and PPHC@Home outcome studies, as well as guidance from a PPHC stakeholder panel. Phase 2 involved the initial item prioiritization and reduction using a discrete choice experiment (DCE) with PPHC professionals and parent advocates. Phase 3 involved a second DCE with bereaved parents and parents currently receiving care for their child to further prioritize and winnow the items to a set of the most highly-valued items. Finally, we conducted cognitive interviews with parents to provide information about the content validity and clarity of the newly-developed instrument (Phase 4). Results Items were compiled predominantly from three existing instruments. Phase 2 participants included 34 PPHC providers, researchers, and parent advocates; Phase 3 participants included 47 parents; and Phase 4 participants included 11 parents. At the completion of Phase 4, the Experiences of Palliative and Hospice Care for Children and Caregivers at Home (EXPERIENCE@Home) Measure contains 22 of the most highly-valued items for evaluating PPHC@Home. These items include “The care team treats my child’s physical symptoms so that my child has as good a quality of life as possible”, “I have regular access to on-call services from our care team”, and “The nurses have the knowledge, skills, and experience to support my child’s palliative or hospice care at home.” Conclusions The EXPERIENCE@Home Measure is the first known to specifically measure family-reported experiences with PPHC@Home in the U.S. Future work will include formal psychometric evaluation with a larger sample of parents, as well as evaluation of the clinical utility of the instrument with PPHC@Home teams.

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“…17,18 Cognitive interviews are commonly used in developing DCE in health. [19][20][21] The interviews followed a predetermined schedule and evaluated participant's comprehension based on various components, including…”

Section: Cognitive Interview and Pilot Studymentioning

confidence: 99%

Preferences for Physical Examination Service in Community Health Service Center in China: A Discrete Choice Experiment

Sun,

Li,

et al. 2024

PPA

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Objective Physical examination services play a crucial role in the early detection of diseases, improving the effectiveness of treatment. However, the current physical examination services provided by community health service centers are limited. The objective of this study was to investigate the aspects of physical examination services that are most valued by residents. Methods Identify and develop attributes and levels through literature research and expert group interviews. A discrete choice experiment was designed. The main effects design gives rise to 16 choice sets. The 16 choice sets were grouped into 2 blocks, and respondents were randomly assigned to one of the blocks. In each choice set, respondents were asked to choose from two alternatives with an opt-out option. In 2023, the discrete choice experiment was administered in several community health service centers within a China population sample. A mixed logit and a latent class analysis were conducted. Results Participants (n = 399) preferred to receive health advice service. The services provided by the basic team with clinical experts are preferred over those provided solely by the basic team. The results indicated a preference for a participant to be serviced by face-to-face or telephone compared with WeChat. Low cost is also preferred. As participants grow older, their preference for face-to-face or telephone-based services increased. As participants’ service demand increase, participants more preferred to receive interpretation of physical examination report and follow-up of important abnormal results, participants more preferred to be serviced by basic team with clinical experts or basic team with health manager etc. Conclusion We should improve the construction of the service team, optimize the service mode, expand the scope of examination services, reduce the cost of examination services, and meet the needs of residents for physical examination services. More attention should be paid to the needs of elderly and rural residents.

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Valuing Attributes of Home Palliative Care With Service Users: A Pilot Discrete Choice Experiment

Abstract: The DCE method is feasible and acceptable but not all patients are able to participate. In the main study phase, we will give more attention to the explanation of the waiting time attribute.

Cited by 12 publications

References 21 publications

Attribute development and level selection for a discrete choice experiment to elicit the preferences of health care providers for capitation payment mechanism in Kenya

Attribute development and level selection for a discrete choice experiment to elicit the preferences of health care providers for capitation payment mechanism in Kenya

Developing a family-reported measure of experiences with home-based pediatric palliative and hospice care: a multi-method, multi-stakeholder approach

Preferences for Physical Examination Service in Community Health Service Center in China: A Discrete Choice Experiment

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