Brief reportElectronic Screening and Decision Support for Poststroke Depression: An Exploration of Doctors' and Patients' Perceptions of Acceptability
Section snippets
Methods
Two convenience sample groups were recruited from the larger evaluation of the electronic decision support system within the outpatient stroke and rehabilitation clinics at the John Hunter Hospital in Newcastle, New South Wales, Australia.6 Stroke outpatients attending clinics immediately postdischarge from hospital or for follow-up care who consented to participate in the larger intervention trial were invited to complete an acceptability questionnaire after depression screening. Exclusion
Results
Sixty-two stroke survivors (mean age ± SD, 65±13y) completed an acceptability questionnaire, with most participants attending clinics at John Hunter Hospital (77%). Demographic data were available for only 49 of the 62 survey respondents, since initially the acceptability survey was in an anonymous format; however, this was changed to an identified format (hence demographic data are missing for the first 21% of participants who completed the survey). Of those for whom demographic data were
Discussion
This mixed-methods study indicated that the electronic screening process was considered nonburdensome to stroke survivors, with most reporting it was brief, easy to complete, and easy to understand. Clinicians recognized that PSD identification was tedious, difficult, and frequently disregarded during consultations.5 Interviewed clinicians reported rarely using screening tools; however, they indicated that receiving screening results made PSD identification easier compared with clinical
Conclusions
This study has revealed that perceptions of electronic PSD screening and decision support were positive for patients and stroke clinicians, supporting the concept of routine electronic screening and feedback as a beneficial and time-effective means of identifying PSD compared with current practice. This process potentially can allow for clinical practice to meet national and international stroke management guidelines regarding mood disturbances.
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Cited by (3)
Development and impact of computerised decision support systems for clinical management of depression: A systematic review
2015, Revista de Psiquiatria y Salud MentalComparison of analog and digital patient decision aids for the treatment of depression: a scoping review
2023, Frontiers in Digital HealthHealth consumer and health provider preferences for an integrative healthcare service delivery model: A national cross-sectional study
2018, International Journal of Clinical Practice
Supported by the National Stroke Foundation.
No commercial party having a direct financial interest in the results of the research supporting this article has or will confer a benefit on the authors or on any organization with which the authors are associated.