AIMS AND OBJECTIVES: To develop a communication app to support nursing staff during the provision of standard care of patients from non-English-speaking backgrounds (NESBs), when an interpreter is not available. This paper reports on the user needs analysis phase that informed the development, content and functionality of the app. BACKGROUND: In 2014 we developed CALD Assist, a communication app to support patient interactions with allied health clinicians when interpreters are not present. It includes 95 commonly used phrases professionally interpreted into 10 languages and grouped by discipline. This work expands upon our previous app to meet the needs of the nursing workforce. DESIGN: Qualitative through focus groups, observations and interviews, with a quantitative component from observational data and staff surveys. METHODS: Four focus groups with hospital staff, ten interviews with patients from NESBs and 85 observation sessions of everyday patient-staff interactions followed by staff surveys (n = 85) were held between January and June 2017. RESULTS: Baseline data prior to app development revealed that staff confidence of the patients' level of understanding and the success of the interaction were significantly greater for English-speaking (ES) patients, than for non-English-speaking patients. A total of 143 phrases were identified and subdivided into 16 categories for inclusion in the new app. CONCLUSION: Staff participants highlighted that patients from NESBs are a challenging patient group to interact with. Patient and staff participants identified a range of areas where the nursing app could benefit, including pain management, mobility, hygiene and nutrition. RELEVANCE TO CLINICAL PRACTICE: The proposed app can be used to reduce variances in practice and provide a timely and positive patient experience for patients from NESBs who are unable to communicate in English during hospital admissions.
AIMS AND OBJECTIVES: To develop a communication app to support nursing staff during the provision of standard care of patients from non-English-speaking backgrounds (NESBs), when an interpreter is not available. This paper reports on the user needs analysis phase that informed the development, content and functionality of the app. BACKGROUND: In 2014 we developed CALD Assist, a communication app to support patient interactions with allied health clinicians when interpreters are not present. It includes 95 commonly used phrases professionally interpreted into 10 languages and grouped by discipline. This work expands upon our previous app to meet the needs of the nursing workforce. DESIGN: Qualitative through focus groups, observations and interviews, with a quantitative component from observational data and staff surveys. METHODS: Four focus groups with hospital staff, ten interviews with patients from NESBs and 85 observation sessions of everyday patient-staff interactions followed by staff surveys (n = 85) were held between January and June 2017. RESULTS: Baseline data prior to app development revealed that staff confidence of the patients' level of understanding and the success of the interaction were significantly greater for English-speaking (ES) patients, than for non-English-speaking patients. A total of 143 phrases were identified and subdivided into 16 categories for inclusion in the new app. CONCLUSION: Staff participants highlighted that patients from NESBs are a challenging patient group to interact with. Patient and staff participants identified a range of areas where the nursing app could benefit, including pain management, mobility, hygiene and nutrition. RELEVANCE TO CLINICAL PRACTICE: The proposed app can be used to reduce variances in practice and provide a timely and positive patient experience for patients from NESBs who are unable to communicate in English during hospital admissions.
Authors: Frédérique Thonon; Swati Perrot; Abhijna Vithal Yergolkar; Olivia Rousset-Torrente; James W Griffith; Olivier Chassany; Martin Duracinsky Journal: J Med Internet Res Date: 2021-05-06 Impact factor: 5.428
Authors: Kerry Hwang; Sue Williams; Emiliano Zucchi; Terence W H Chong; Monita Mascitti-Meuter; Dina LoGiudice; Anita M Y Goh; Anita Panayiotou; Frances Batchelor Journal: Nurs Open Date: 2021-10-26