Issue addressed Improving equitable delivery of health care for Aboriginal people in northern Australia is a priority. This study sought to gauge patient experiences of hospitalisation and to identify strategies to improve equity in health care for Aboriginal patients. Aims were to validate an experience of care survey and document advice from Aboriginal interpreters. Methods Medical charts of Aboriginal patients were audited for documentation of language and interpreter use. Aboriginal inpatients were surveyed using an adapted Australian Hospital Patient Experience Question Set. Multiple‐choice responses were compared with free‐text comments to explore validity. Semi‐structured interviews were conducted with Aboriginal interpreter staff. Results In 68 charts audited, primary language was documented for only 30/68 (44%) people. Of 73 patient experience survey respondents, 49/73 (67%) indicated satisfaction with overall care; 64/73 (88%) indicated hospital staff communicated well in multiple‐choice responses. Respondents who gave positive multiple‐choice ratings nevertheless reported in free text responses concerns relating to social‐emotional support, loneliness, racism and food. Key themes from interviews included the benefits to patients from accessing interpreters, benefits of hospital‐based support for interpreters and the need for further service redesign. Conclusions Multiple‐choice questions in the survey were of limited utility; respondents' free comments were more informative. Social and emotional wellbeing must be addressed in future experience‐of‐care evaluations. Aboriginal patients' language and cultural needs can be better met by improved systems approaches. Aboriginal interpreters are uniquely placed to advise on this. So What? Improving health communication is critical to equitable and effective health care. Interventions must be driven by Aboriginal perspectives.
Background Aboriginal language interpreters are under-utilised in healthcare in northern Australia. Self-discharge from hospital is an adverse outcome occurring at high rates among Aboriginal people, with poor communication thought to be a contributor. We previously reported increased Aboriginal interpreter uptake and decreased rates of self-discharge during implementation of a 12-month hospital-based intervention. Interrupted time-series analysis showed sudden increase and up-trending improvement in interpreter use, and a corresponding decrease in self-discharge rates, during a 12-month intervention period (April 2018—March 2019) compared with a 24-month baseline period (April 2016 –March 2018). This paper aims to investigate reasons for these outcomes and explore a potential causal association between study activities and outcomes. Methods The study was implemented at the tertiary referral hospital in northern Australia. We used the Template for Intervention Description and Replication (TIDieR) as a framework to describe intervention components according to what, how, where, when, how much, tailoring, modifications and reach. Components of the study intervention were: employment of an Aboriginal Interpreter Coordinator, ‘Working with Interpreters’ training for healthcare providers, and championing of interpreter use by doctors. We evaluated the relative importance of intervention components according to TIDieR descriptors in relation to outcomes. Activities independent of the study that may have affected study findings were reviewed. The relationship between proportion of hospital separations among Aboriginal people ending in self-discharge and numbers of Aboriginal interpreter bookings made during April 2016-March 2019 was tested using linear regression. ‘Working with Interpreters’ training sessions were undertaken at a regional hospital as well as the tertiary hospital. Training evaluation comprised an anonymous online survey before the training, immediately after and then at six to eight months. Survey data from the sites were pooled for analysis. Results Employment of the Aboriginal Interpreter Coordinator was deemed the most important component of the intervention, based on reach compared to the other components, and timing of the changes in outcomes in relation to the employment period of the coordinator. There was an inverse association between interpreter bookings and self-discharge rate among Aboriginal inpatients throughout the baseline and intervention period (p = 0.02). This association, the timing of changes and assessment of intercurrent activities at the hospital indicated that the study intervention was likely to be casually related to the measured outcomes. Conclusions Communication in healthcare can be improved through targeted strategies, with associated improvements in patient outcomes. Health services with high interpreter needs would benefit from employing an interpreter coordinator.
Background Aboriginal language interpreters are under-utilised in healthcare in northern Australia. Self-discharge from hospital is an adverse outcome occurring at high rates among Aboriginal people, with poor communication thought to be a contributor. We previously reported increased Aboriginal interpreter uptake and decreased rates of self-discharge during implementation of a 12-month hospital-based intervention. Interrupted time-series analysis showed sudden increase and up-trending improvement in interpreter use, and a corresponding decrease in self-discharge rates, during a 12-month intervention period (April 2018 - March 2019) compared with a 24-month baseline period (April 2016 – March 2018). This paper aims to explore reasons for these outcomes, and further explore the likelihood of a causal association between study activities and outcomes. Methods We used the ‘Template for Intervention Description and Replication’ (TIDieR) as a framework to describe intervention components and evaluate their relative importance. Information on intercurrent activities that may have contaminated study findings was reviewed. The relationship between proportion of hospital separations among Aboriginal people ending in self-discharge and numbers of Aboriginal interpreter bookings made during April 2016-March 2019 was tested using linear regression. Results One full-time Aboriginal Interpreter Coordinator was employed for the intervention period who identified language needs, promoted interpreter use and mentored interpreters. The intervention period start date corresponded with commencement of this role. Three ‘Working with Interpreter’ training sessions were held during the intervention period reaching 83 clinicians, and three medical officers volunteered as champions of interpreter use in hospital practice. Employment of the Aboriginal Interpreter Coordinator was deemed the most important component of the intervention, based on reach compared to the other components and timing of the changes in outcomes. There was an inverse association between interpreter bookings and self-discharge rate among Aboriginal inpatients (p = 0.02). This association, the timing of changes and assessment of intercurrent activities at the hospital indicated that the study intervention was likely to be casually related to the measured outcomes. Conclusions Communication in healthcare can be improved through targeted strategies, with associated improvements in patient outcomes. Health services with high interpreter needs would benefit from employing an interpreter coordinator.
BackgroundAboriginal language interpreters are under-utilised in healthcare in northern Australia. Self-discharge from hospital is an adverse outcome occurring at high rates among Aboriginal people, with poor communication thought to be a contributor. We previously reported increased Aboriginal interpreter uptake and decreased rates of self-discharge during implementation of a 12-month hospital-based intervention. Interrupted time-series analysis showed sudden increase and up-trending improvement in interpreter use, and a corresponding decrease in self-discharge rates, during a 12-month intervention period (April 2018 - March 2019) compared with a 24-month baseline period (April 2016 – March 2018). This paper aims to explore reasons for these outcomes, and further explore the likelihood of a causal association between study activities and outcomes. MethodsWe used the ‘Template for Intervention Description and Replication’ (TIDieR) as a framework to describe intervention components and evaluate their relative importance. Information on intercurrent activities that may have contaminated study findings was reviewed. The relationship between proportion of hospital separations among Aboriginal people ending in self-discharge and numbers of Aboriginal interpreter bookings made during April 2016-March 2019 was tested using linear regression. ResultsOne full-time Aboriginal Interpreter Coordinator was employed for the intervention period who identified language needs, promoted interpreter use and mentored interpreters. The intervention period start date corresponded with commencement of this role. Three ‘Working with Interpreter’ training sessions were held during the intervention period reaching 83 clinicians, and three medical officers volunteered as champions of interpreter use in hospital practice. Employment of the Aboriginal Interpreter Coordinator was deemed the most important component of the intervention, based on reach compared to the other components and timing of the changes in outcomes. There was an inverse association between interpreter bookings and self-discharge rate among Aboriginal inpatients (p=0.02). This association, the timing of changes and assessment of intercurrent activities at the hospital indicated that the study intervention was likely to be casually related to the measured outcomes. ConclusionsCommunication in healthcare can be improved through targeted strategies, with associated improvements in patient outcomes. Health services with high interpreter needs would benefit from employing an interpreter coordinator.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.