Consumer perspectives of allied health involvement in a public hospital setting: cross-sectional survey and electronic health record review.

Abstract

Objective Consumer-centred care is fundamental to high-quality health care, with allied health professionals playing a pivotal role in hospital settings. Allied health typically operates within standard weekday working-hours. Consumer preferences for receiving allied health services are largely unexplored but could inform whether weekend and/or out-of-hours services are required. This study aims to understand consumer preferences for hospital-based inpatient and outpatient allied health services. Methods Using a cross-sectional survey and convenience sampling approach, consumers of a public health service in Melbourne, Australia were surveyed about preferences for allied health service delivery. Electronic health record reviews compared the accuracy of self-reported service delivery times. Descriptive statistics, concordance and predictive values were calculated. Responses to free-text survey items were analysed using content analysis. Results Of 120 participants (79% response rate), most (69%) received allied health services, however, almost half of inpatient responders (44%) were unsure of the specific allied health professional involved. Audit results found moderate-high concordance overall (range, 77-96%) between self-reported and audit-identified allied health services by profession. Most inpatient responders had no strong day of week preference, equally selecting weekdays and weekend days, with most preferring services between 8 am and 4 pm. Outpatient responders (81%) preferred a weekday appointment between 8 am and 12 pm or before 8 am (29%) to complete scheduled activities early in the day. Conclusion While provision of allied health services during standard working-hours was preferred by most consumers, some inpatient and outpatient consumers are receptive to receiving weekend and out-of-hours services, respectively. Decisions about offering these services should consider operational capacity and research evidence.