This study was approved by the Ethics Committee of Fuwai Yunnan Cardiovascular Hospital (No. 2023-046-01). The requirement for individual informed consent was waived for retrospectively collected data from July 1, 2018, to June 30, 2023 (n = 234) due to the retrospective nature of the study. Informed consent was obtained from all participants in the prospective cohort.
Study Design and Participants
From July 1, 2018, to June 30, 2025, a total of 657 patients with PAH-CHD were admitted and treated at Fuwai Yunnan Hospital, Chinese Academy of Medical Sciences/Affiliated Cardiovascular Hospital of Kunming Medical University, Kunming, China.
Inclusion/Exclusion Criteria
The inclusion criteria were as follows: (1) PAH-CHD based on the 2022 ESC/ERS guidelines1; (2) patients who had taken medication following surgery or interventional occlusion. The exclusion criteria included: (1) patients with severe lung, liver, or renal diseases; (2) patients with communication problems or other impairments such as visual or hearing impairment. The enrolled patients had not previously participated in any other national or community health support program related to their PAH-CHD health issues.
The retrospective cohort and prospective IPC intervention were conducted in different periods. To minimize potential bias from changes in medical standards and drug policies, all patients were diagnosed and managed according to the 2022 ESC/ERS guidelines, with unified therapeutic protocols and a centralized drug procurement platform.
Internet-based Pharmaceutical Care and PROs
From July 1, 2023, to June 30, 2025, a total of 422 patients with PAH-CHD received an IPC-PRO intervention. The structured, patient-centered IPC program included standardized health education, regular medication follow-up, and PRO assessment. A dedicated pharmacist was responsible for daily online management, including medication counseling, adverse drug reaction monitoring, treatment compliance supervision, and health guidance. Patients were enrolled in a WeChat group managed by the pharmacist, with weekly follow-up messages, monthly medication reminders, and on-demand counseling sessions throughout the 2-year intervention. Electronic health education materials were distributed 22 times on a fixed schedule. PROs questionnaires (EQ-5D-3L and medication compliance) were administered online via WeChat; patients completed assessments independently, with pharmacist assistance available when needed. Missing responses were followed up within 24 h via WeChat or telephone, and valid values were supplemented by mean imputation if necessary.
The PROs were designed based on relevant literature9 and patient interviews10, consisting of two parts: EuroQol Projects EQ-5D-3L (Identifier: 1952-RA) for health utility assessment (Q1–Q5), and a medication compliance questionnaire (Q6–Q7). Patients completed the initial PROs questionnaire upon enrollment to provide baseline data (Table 1).
Markov Cohort Model
PAH was defined by three Markov cohort states: poorly controlled PAH, well-controlled PAH, and death. The Markov cohort cycle period was two years. The average age of enrolled patients was 23.34 ± 21.75 years, and the average life expectancy in Yunnan Province was 75.3 years in 2025. PROs questionnaires were administered online via WeChat as self-reported instruments, with pharmacist assistance provided when necessary. Missing items were followed up within 24 h and handled by mean imputation. The willingness-to-pay (WTP) threshold was calculated based on Yunnan Province's 2024 per capita gross domestic product (¥67,600)12. Decision-analysis software was used with a legitimate institutional license to simulate health transitions and calculate quality-adjusted life years (QALYs) over 26 cycles (52 years). Costs and health utilities were discounted at 5% annually.
Statistical Analysis
Dichotomous objective outcomes (PAH and 40 indicators) were analyzed for treatment efficacy. Orthogonal partial least squares discriminant analysis (OPLS-DA) was used for multidimensional indicator analysis10. OPLS-DA analysis was performed using multivariate statistical software. Analyses were performed using spreadsheet and statistical analysis software. Data are presented as mean ± standard deviation. Statistical significance was set at p. < 0.05.