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Quantifying patient preferences for inpatient pharmacist consultation: a multi-center discrete choice experiment in Sichuan, China

Guirong Xiao et al · Frontiers Media S.A · 2026

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BackgroundPharmaceutical services play a critical role in safeguarding medication safety and optimizing therapeutic outcomes. Their value is increasingly recognized in China, where recent policy reforms have introduced new medical service pricing items, and several provinces have piloted an inpatient consultation fee (clinical pharmacy surcharge), namely inpatient pharmacist consultation (IPC), as a billable services.ObjectiveThis study used a discrete choice experiment (DCE) to evaluate hospitalized patients’ preferences for IPC and the factors shaping these choices, providing evidence to inform service development and policy-making.MethodsStudy attributes and levels were derived from literature review, patient surveys, and expert interviews. Attributes included hospital tier (tertiary vs. non-tertiary), pharmacist professional title (attending pharmacist, associate chief pharmacist, chief pharmacist), consultation frequency (once, three times, five times per week), duration (5, 10, 15 min), service outcome (improved efficacy vs. reduced medication errors), and unit cost (10 or 15 CNY per session; 1 CNY ≈ 0.15 USD). A DCE questionnaire was administered to inpatients across six Sichuan hospitals. Preferences were analyzed using a mixed logit model to estimate regression coefficients (β) and willingness-to-pay (WTP).ResultsOf 320 valid responses, patients preferred consultations delivered by associate chief pharmacists (β = 0.182, p < 0.001; WTP 5.00 CNY) in tertiary hospitals (β = 0.138, p < 0.001; WTP 3.80 CNY), with a primary focus on reducing medication errors (β = 0.125, p = 0.002; WTP 3.42 CNY). Patients favored three sessions per week (β = 0.156, p = 0.005; WTP 4.29 CNY) lasting 15 min each (β = 0.133, p = 0.016; WTP 3.65 CNY). Service cost had a limited negative influence on choices (β = −0.036, p < 0.001) within the narrow price range of 10 to 15 CNY tested in this study. The optimal profile (associate chief pharmacist, tertiary hospital, three times per week, 15 min/session, error reduction focus, 10 CNY/session) achieved a 68.4% predicted choice probability. Subgroup analyses showed that low-income patients prioritized consultation frequency, urban patients preferred longer duration, and patients with chronic diseases emphasized efficacy over error reduction.ConclusionInpatients demonstrated clear preferences for attributes of IPC, with variations by income, residence, and chronic disease status. Greater involvement of clinical pharmacists, tailored adjustment of consultation frequency and duration, and integration into hierarchical diagnosis and treatment and chronic disease management were encouraged. Price has limited influence on choices. We recommend including pharmaceutical consultations in health insurance reimbursement after pilot programs.

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APA 7

al, G. X. E. (2026). Quantifying patient preferences for inpatient pharmacist consultation: a multi-center discrete choice experiment in Sichuan, China. https://doi.org/10.3389/fpubh.2026.1809396

MLA

al, Guirong Xiao et. "Quantifying patient preferences for inpatient pharmacist consultation: a multi-center discrete choice experiment in Sichuan, China." 2026. https://doi.org/10.3389/fpubh.2026.1809396.

Chicago

al, Guirong Xiao et. 2026. "Quantifying patient preferences for inpatient pharmacist consultation: a multi-center discrete choice experiment in Sichuan, China.". https://doi.org/10.3389/fpubh.2026.1809396.

Harvard

al, G. X. E. 2026, Quantifying patient preferences for inpatient pharmacist consultation: a multi-center discrete choice experiment in Sichuan, China, Frontiers Media S.A, available at: https://doi.org/10.3389/fpubh.2026.1809396 [Accessed 7 Aug. 2026].

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Title
Quantifying patient preferences for inpatient pharmacist consultation: a multi-center discrete choice experiment in Sichuan, China
Author / contributors
Guirong Xiao et al
Publisher
Frontiers Media S.A
Publication year
2026
ISSN
2296-2565
ISSN
2296-2565
Language
English

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