Reporting Inpatients’ Experiences and Satisfaction in a National Psychiatric Facility: A Study Based on the Random Forest Algorithm

Author:

Haji Eman A.1,Ebrahim Ahmed H.12ORCID,Fardan Hassan1,Jahrami Haitham13

Affiliation:

1. Ministry of Health, Manama, Kingdom of Bahrain

2. College of Graduate Studies and Research, Ahlia University, Manama, Kingdom of Bahrain

3. College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Kingdom of Bahrain

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.

Publisher

SAGE Publications

Subject

Health Policy,Health (social science),Leadership and Management

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