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Reporting Inpatients’ Experiences and Satisfaction in a National Psychiatric Facility: A Study Based on the Random Forest Algorithm
| Content Provider | SAGE Publishing |
|---|---|
| Author | Haji, Eman A. Ebrahim, Ahmed H. Fardan, Hassan Jahrami, Haitham |
| Copyright Year | 2022 |
| Abstract | Understanding psychiatric inpatients’ experiences is important to establish a culture of patient-centric care and promote trust in healthcare. This study aimed to evaluate nine dimensions of patients’ experiences and investigate their association with patient satisfaction, revisit intention, and positive word-of-mouth (WoM) recommendation. Cross-sectional questionnaire data from five years of surveying (2016–2020) in the main psychiatric hospital in Bahrain were statistically analyzed, involving 763 psychiatric inpatients with an overall 65.6 ± 17.2 length of stay (days). The findings show that across the five years 2016–2020, the overall reported satisfaction was “very high” (4.75 ± 0.44) with no significant differences between these five years (F [4, 758] = 0.66, p = 0.620). The experience of confidentiality received the highest rating (4.72 ± 0.45). The experiences of ease of access, hospitality quality, and quality of responsiveness to one's needs significantly correlated with revisit intention (p ˂ 0.05). Patients with high satisfaction had greater potential for revisit intention (r [761] = 0.08, p = 0.027), which was associated with WoM recommendation (r [761] = 0.08, p = 0.033). Overall, men were less likely than women to experience convenient access to psychiatric wards. The findings of the Random Forest algorithm indicate the tendency of female patients with short-term stays to demonstrate lower satisfaction rates, and thus innovative approaches are needed when managing these groups’ psychiatric problems. |
| Related Links | https://journals.sagepub.com/doi/pdf/10.1177/23743735211069819?download=true |
| ISSN | 23743735 |
| Volume Number | 9 |
| Journal | Journal of Patient Experience (JPX) |
| e-ISSN | 23743743 |
| DOI | 10.1177/23743735211069819 |
| Language | English |
| Publisher | Sage Publications CA |
| Publisher Date | 2022-01-04 |
| Publisher Place | Los Angeles |
| Access Restriction | Open |
| Rights Holder | © The Author(s) 2022 |
| Subject Keyword | artificial intelligence psychiatric satisfaction patient experience |
| Content Type | Text |
| Resource Type | Article |
| Subject | Leadership and Management Health (social science) Health Policy |
