Dataset Information

Preferences for Predictive Model Characteristics among People Living with Chronic Lung Disease: A Discrete Choice Experiment.

ABSTRACT: Background. Patients may find clinical prediction models more useful if those models accounted for preferences for false-positive and false-negative predictive errors and for other model characteristics. Methods. We conducted a discrete choice experiment to compare preferences for characteristics of a hypothetical mortality prediction model among community-dwelling patients with chronic lung disease recruited from 3 clinics in Philadelphia. This design was chosen to allow us to quantify "exchange rates" between different characteristics of a prediction model. We provided previously validated educational modules to explain model attributes of sensitivity, specificity, confidence intervals (CI), and time horizons. Patients reported their interest in using prediction models themselves or having their physicians use them. Patients then chose between 2 hypothetical prediction models each containing varying levels of the 4 attributes across 12 tasks. Results. We completed interviews with 200 patients, among whom 95% correctly chose a strictly dominant model in an internal validity check. Patients' interest in predictive information was high for use by themselves (n = 169, 85%) and by their physicians (n = 184, 92%). Interest in maximizing sensitivity and specificity were similar (0.88 percentage points of specificity equivalent to 1 point of sensitivity, 95% CI 0.72 to 1.05). Patients were willing to accept a reduction of 6.10 months (95% CI 3.66 to 8.54) in the predictive time horizon for a 1% increase in specificity. Discussion. Patients with chronic lung disease can articulate their preferences for the characteristics of hypothetical mortality prediction models and are highly interested in using such models as part of their care. Just as clinical care should become more patient centered, so should the characteristics of predictive models used to guide that care.

SUBMITTER: Weissman GE

PROVIDER: S-EPMC7395892 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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Preferences for Predictive Model Characteristics among People Living with Chronic Lung Disease: A Discrete Choice Experiment.

Weissman Gary E GE Yadav Kuldeep N KN Srinivasan Trishya T Szymanski Stephanie S Capulong Florylene F Madden Vanessa V Courtright Katherine R KR Hart Joanna L JL Asch David A DA Ratcliffe Sarah J SJ Schapira Marilyn M MM Halpern Scott D SD

Medical decision making : an international journal of the Society for Medical Decision Making 20200612 5

<b>Background.</b> Patients may find clinical prediction models more useful if those models accounted for preferences for false-positive and false-negative predictive errors and for other model characteristics. <b>Methods.</b> We conducted a discrete choice experiment to compare preferences for characteristics of a hypothetical mortality prediction model among community-dwelling patients with chronic lung disease recruited from 3 clinics in Philadelphia. This design was chosen to allow us to qua ...[more]

PMID: 32532169

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Project description:BackgroundDementia affects about 55 million people worldwide. Demographic change and shifting lifestyles challenge the organization of dementia care. A discrete choice experiment (DCE) was conducted to elicit preferences for living arrangements in dementia in urban and rural regions of Germany.MethodsPreliminary work included review of previous literature and focus groups. The DCE consists of seven attributes (group size, staff qualifications, organization of care, activities offered, support of religious practice, access to garden, consideration of food preferences) with three levels each. Individuals from the general population between the ages of 50 and 65 years were identified through population registration offices in three rural municipalities and one urban area, and 4390 individuals were approached via postal survey. A hierarchical Bayesian mixed logit model was estimated and interactions with sociodemographic characteristics were investigated.ResultsA total of 428 and 412 questionnaires were returned by rural and urban respondents, respectively. Access to a garden was perceived as the most important attribute (average importance 36.0% in the rural sample and 33.4% in the urban sample), followed by consideration of food preferences (15.8%, 17.8%), staff qualification (14.6%, 15.3%), care organization (11.4%, 12.3%), group size (12.2%, 11.1%), and range of activities (8.0%, 10.1%). The attribute relating to religious practice was given the least importance (2.1%, 0%). Preferences vary according to gender, age, religious beliefs, experience as an informal caregiver, and migrant background.ConclusionHeterogeneous preferences for living arrangements for people with dementia were identified. The expansion of concepts with access to natural environments for persons with dementia might be a viable option for the formal care market in Germany. Further research is needed to meet the challenges of setting up and designing innovative living arrangements for people with dementia. Preferences vary by gender, age, religious beliefs, experience as an informal caregiver, and migrant background.

Project description:IntroductionTo improve retention on HIV treatment in Africa, public health programs are promoting a family of innovations to service delivery-referred to as "differentiated service delivery" (DSD) models-which seek to better meet the needs of both systems and patients by reducing unnecessary encounters, expanding access, and incorporating peers and patients in patient care. Data on the relative desirability of different models to target populations, which is currently sparse, can help guide prioritization of specific models during scale-up.MethodsWe conducted a discrete choice experiment to assess patient preferences for various characteristics of treatment services. Clinically stable people living with HIV were recruited from an HIV clinic in Kisumu, Kenya. We selected seven attributes of DSD models drawn from literature review and previous qualitative work. We created a balanced and orthogonal design to identify main term effects. A total of ten choice tasks were solicited per respondent. We calculated relative utility (RU) for each attribute level, a numerical representation of the strength of patient preference. Data were analyzed using a Hierarchical Bayesian model via Sawtooth Software.ResultsOne hundred and four respondents (37.5% men, 41.1 years mean age) preferred receiving care at a health facility, compared with home-delivery or a community meeting point (RU = 69.3, -16.2, and -53.1, respectively; p << 0.05); receiving those services from clinicians and pharmacists-as opposed to lay health workers or peers (RU = 21.5, 5.9, -24.5; p < 0.05); and preferred an individual support system over a group support system (RU = 15.0 and 4.2; p < 0.05). Likewise, patients strongly preferred longer intervals between both clinical reviews (RU = 40.1 and -50.7 for 6- and 1-month spacing, respectively; p < 0.05) and between ART collections (RU = 33.6 and -49.5 for 6- and1-month spacing, respectively; p < 0.05).ConclusionAlthough health systems find community- and peer-based DSD models attractive, clinically stable patients expressed a preference for facility-based care as long as clinical visits were extended to biannual. These data suggest that multi-month scripting and fast-track models best align with patient preferences, an insight which can help prioritize use of different DSD models in the region.

Project description:BackgroundOptimal management of hypertension in people with dementia may involve deprescribing antihypertensives. Understanding differing treatment priorities is important to enable patient-centred care. This study explored preferences for antihypertensive deprescribing amongst people living with dementia, carers and clinicians.MethodsDiscrete choice experiments (DCEs) are a stated preference survey method, underpinned by economic theory. A DCE was conducted, and respondents completed 12 labelled choice-questions, each presenting a status quo (continuing antihypertensives) and antihypertensive deprescribing option. The questions included six attributes, including pill burden, and event risks for stroke, myocardial infarction, increased blood pressure, cognitive decline, falls.ResultsOverall, 112 respondents (33 carers, 19 people living with dementia, and 60 clinicians) completed the survey. For people with dementia, lower pill burden increased preferences for deprescribing (odds ratio (OR) 1.95, 95% confidence interval (95% CI) 1.08-3.52). Increased stroke risk (for each additional person out of 100 having a stroke) decreased the likelihood of deprescribing for geriatricians (OR 0.71, 95% CI 0.55-0.92) and non-geriatrician clinicians (OR 0.62, 95% CI 0.45-0.86), and carers (OR 0.71, 95% CI 0.58-0.88). Increased myocardial infarction risk decreased preferences for deprescribing for non-geriatricians (OR 0.81, 95% CI 0.69-0.95) and carers (OR 0.84, 95% CI 0.73-0.98). Avoiding cognitive decline increased preferences for deprescribing for geriatricians (OR 1.17, 95% CI 1.03-1.33) and carers (OR 1.27, 95% CI 1.09-1.48). Avoiding falls increased preferences for deprescribing for clinicians (geriatricians (OR 1.20, 95% CI 1.11-1.29); non-geriatricians (OR 1.16, 95% CI 1.07-1.25)). Other attributes did not significantly influence respondent preferences.ConclusionsAntihypertensive deprescribing preferences differ amongst people with dementia, carers and clinicians. The study emphasises the importance of shared decision-making within the deprescribing process.

Project description:ObjectiveThis study aimed to elicit preferences for attributes of current and novel long-acting antiretroviral therapy for human immunodeficiency virus treatment.MethodsPrimary survey data were collected (July-October 2022) on a sample of 333 people living with human immunodeficiency virus in Germany from a patient recruitment agency. Respondents were invited by e-mail to respond to a web-based questionnaire. After performing a systematic literature review, we conducted qualitative semi-structured interviews to identify and select the key attributes of drug therapy for patients' preferences for human immunodeficiency virus treatment. Based on this, a discrete choice experiment survey elicited preferences for long-acting antiretroviral therapy characteristics, including the type of medication, frequency of dosing, the location of treatment, the risk of both short-term and long-term side effects, as well as possible interactions with other medications or (party) drugs. A statistical data analysis was performed using multinomial logit models. An additional latent class multinomial logit was performed to evaluate subgroup differences.ResultsOverall, 226 respondents (86% male, mean age 46.1 years) were included in the analysis. The frequency of dosing (36.1%) and the risk of long-term side effects (28.2%) had the greatest influence on preferences. The latent class analysis identified two patient groups. While the first class (n = 135; 87% male, mean age 44.4 years) found the frequency of dosing (44.1%) to be most important, the second class (n = 91; 85% male, mean age 48.6 years) focused on the risk of long-term side effects (50.3%). The evaluation of structural variables showed that male respondents, those living in small cities or villages, and those with better health status results were significantly more likely to be assigned to the second class (p < 0.05 each).ConclusionsAll attributes included in our survey were important to participants when choosing an antiretroviral therapy. We found evidence that the frequency of dosing as well as the risk of long-term side effects have a particular impact on the acceptance of novel therapy regimens and should be considered in order to optimize adherence and satisfaction.

Project description:OBJECTIVES:It is desirable that public preferences are established and incorporated in emergency healthcare reforms. The aim of this study was to investigate preferences for local versus centralised provision of all emergency medical services (EMS) and explore what individuals think are important considerations for EMS delivery. DESIGN:A discrete choice experiment was conducted. The attributes used in the choice scenarios were: travel time to the hospital, waiting time to be seen, length of stay in the hospital, risks of dying, readmission and opportunity for outpatient care after emergency treatment at a local hospital. SETTING:North East England. PARTICIPANTS:Participants were a randomly sampled general population, aged 16 years or above recruited from Healthwatch Northumberland network database of lay members and from clinical contact with Northumbria Healthcare National Health Service Foundation Trust via Patient Experience Team. PRIMARY AND SECONDARY OUTCOME MEASURES:Analysis used logistic regression modelling techniques to determine the preference of each attribute. Marginal rates of substitution between attributes were estimated to understand the trade-offs individuals were willing to make. RESULTS:Responses were obtained from 148 people (62 completed a web and 86 a postal version). Respondents preferred shorter travel time to hospital, shorter waiting time, fewer number of days in hospital, low risk of death, low risk of readmission and outpatient follow-up care in their local hospital. However, individuals were willing to trade off increased travel time and waiting time for high-quality centralised care. Individuals were willing to travel 9 min more for a 1-day reduction in length of stay in the hospital, 38 min for a 1% reduction in risk of death and 112 min for having outpatient follow-up care at their local hospital. CONCLUSIONS:People value centralised EMS if it provides higher quality care and are willing to travel further and wait longer.

Project description:Choosing hypodontia treatment requires young people and parents to consider a large amount of information, identify what is important to them, and make trade-offs between options. This study aimed to examine young people and parents' preferences for hypodontia treatment using discrete choice experiment (DCE). This was a cross-sectional survey of young people (12-16 y) with hypodontia of any severity, at any stage of treatment, and their parents. Participants were recruited from NHS Hospitals in England and Wales. A bespoke DCE questionnaire was developed to measure preferences for 6 attributes of hypodontia treatment (waiting time, treatment time, problems during treatment, discomfort during treatment, bite, appearance). The questionnaire was completed 1) online by young people and parents, individually or together, and 2) by child-parent dyads under observation. Preferences were analyzed using regression models. In total, 204 participants (122 young people, 56 parents, 26 dyads) completed the online questionnaire and 15 child-parent dyads completed the questionnaire under observation. The most important attribute in hypodontia treatment was improvement in appearance, but significant heterogeneity was found in preferences. Four distinct groups of participants were found: group 1 (39%): severe discomfort and problems were most important; group 2 (31%): most concerned about improvement in appearance of teeth and improvement in bite; group 3 (22%): appearance 3 times more important than any other attribute; and group 4 (9%): preferences difficult to interpret. There was variation in how child-parent dyads approached decision-making, with some negotiating joint preferences, while for others, one individual dominated. Making trade-offs in DCE tasks helped some people think about treatment and identify their preferences. Appearance is an important outcome from hypodontia treatment, but preferences vary and potential risks and functional outcome are also important to some people. There is a notable level of uncertainty in decision-making, which suggests further shared decision support would be valuable.

Dataset Information

Preferences for Predictive Model Characteristics among People Living with Chronic Lung Disease: A Discrete Choice Experiment.

Publications

Preferences for Predictive Model Characteristics among People Living with Chronic Lung Disease: A Discrete Choice Experiment.

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