Evaluating patient acceptability of digitalised PSA follow-up after prostate cancer treatment

Abstract

Abstract Introduction Healthcare systems globally are facing increasing pressure, necessitating innovative solutions such as Telehealth. Digital follow-up methods, like the Automatic PSA Project, have the potential to enhance efficiency and reduce outpatient clinic burden. Prostate cancer, the most common cancer in European men, requires long-term PSA monitoring post-treatment. This study evaluates the acceptability of a digital PSA follow-up approach, among prostate cancer patients. Methods A single-centre, cross-sectional quantitative study was conducted at St. Antonius Hospital, Nieuwegein, Netherlands (2022-2024). Patients who underwent prostate cancer treatment and opted for the Automatic PSA Project were included. PSA results were shared via an automated email system unless follow-up was required. Patient acceptability was assessed using a translated version of the Service User Technology Acceptability Questionnaire (SUTAQ). Statistical analysis included median and interquartile ranges, with associations examined using the Kruskal-Wallis test. Internal consistency was evaluated using Cronbach’s alpha. Results A total of 100 patients participated, with 81% aged 65 and older. The total SUTAQ score (median: 5.27, IQR: 4.98-5.75) indicated high acceptability. “Privacy and discomfort” scored the highest (5.75, IQR: 5.25-6.0), while “Automatic PSA Project as a substitution” had the lowest score (4.83, IQR: 4.33-5.33). No significant associations were found between acceptability and patient characteristics. Internal consistency varied Discussion The study demonstrates that digital PSA follow-up is highly accepted among patients, offering a viable strategy to alleviate outpatient clinic burdens. However, patient selection remains critical to ensure suitability. Despite limitations in translation validation and sample homogeneity, findings support wider Telehealth adoption in PSA monitoring, potentially improving healthcare efficiency.