Positive beliefs and privacy concerns shape the future for the Personally Controlled Electronic Health Record.

The uptake of the Personally Controlled Electronic Health Record (PCEHR) has been slowly building momentum in Australia. The purpose of the PCEHR is to collect clinically important information from multiple healthcare providers to provide a secure electronic record to patients and their authorised healthcare providers that will ultimately enhance the efficiency and effectiveness of healthcare delivery. Reasons for the slow uptake of the PCEHR and future directions to improve its usefulness is discussed later.

A time and motion study of junior doctor work patterns on the weekend: a potential contributor to the weekend effect?

BACKGROUND: Patients admitted to hospital on weekends have a greater risk of mortality compared to patients admitted on weekdays. Junior medical officers (JMO) make up the majority of medical staff on weekends. No previous study has quantified JMO work patterns on weekends. AIM: To describe and quantify JMO work patterns on weekends and compare them with patterns previously observed during the week. METHODS: Observational time and motion study of JMO working weekends using the Work Observation Method by Activity Timing (WOMBAT; Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, Australia) software. Descriptive statistics were used to determine the proportion of total observed time spent in tasks. RESULTS: Weekend JMO predominately spent time in indirect care (32.0%), direct care (23.0%) and professional communication (22.1%). JMO spent 20.9% of time multitasking and were interrupted, on average, every 9 min. Weekend JMO spent significantly more time in direct care compared with weekdays (13.0%; P < 0.001) and nights (14.3%; P < 0.001). Weekend JMO spent significantly less time on breaks (8.5%), with less than 1 h in an 11-h shift, compared with JMO during weekdays (16.4%; P = 0.004) and nights (27.6%; P = <0.001). Weekend JMO were interrupted at a higher rate (6.6/h) than on weekdays (rate ratio (RR) 2.9, 95% confidence intervals (CI) 2.6, 3.3) or nights (RR 5.1, 95% CI 4.2, 6.1). Multitasking on weekends (20.9%) was comparable to weekdays (18.9%; P = 0.19) but significantly higher than nights (6.4%; P = <0.001). CONCLUSION: On weekends, JMO had few breaks, were interrupted frequently and engaged in high levels of multitasking. This pattern of JMO work could be a potential contributing factor to the weekend effect in terms of JMO abilities to respond safely and adequately to care demands.

Knowledge and attitudes regarding the personally controlled electronic health record: an Australian national survey.

The personally controlled electronic health record (PCHER) was designed to bring important information together to facilitate effective communication between clinicians and so improve patient care. This national cross-sectional survey of 405 healthcare providers and consumers found that they had relatively low awareness and knowledge about the PCEHR; that 62% of respondents believed that healthcare providers with access to the PCEHR would be able to provide better quality of care but only 50% of respondents would sign up to have a PCEHR.

iPad use at the bedside: a tool for engaging patients in care processes during ward rounds?

BACKGROUND: Previous work has examined the impact of technology on information sharing and communication between doctors and patients in general practice consultations, but very few studies have explored this in hospital settings. AIMS: To assess if, and how, senior clinicians use an iPad to share information (e.g. patient test results) with patients during ward rounds and to explore patients' and doctors' experiences of information sharing events. METHODS: Ten senior doctors were shadowed on ward rounds on general wards during interactions with 525 patients over 77.3 h, seven senior doctors were interviewed and 180 patients completed a short survey. RESULTS: Doctors reported that information sharing with patients is critical to the delivery of high-quality healthcare, but were not seen to use the iPad to share information with patients on ward rounds. Patients did not think the iPad had impacted on their engagement with doctors on rounds. Ward rounds were observed to follow set routines and patient interactions were brief. CONCLUSIONS: Although the iPad potentially creates new opportunities for information sharing and patient engagement, the ward round may not present the most appropriate context for this to be done.

Can a mock medication-taking learning activity enable pharmacy students to experience the range of barriers and facilitators to medication adherence? An analysis informed by the Theoretical Domains Framework and COM-B model.

Background: Pharmacy professionals are well-placed to provide medication adherence support to patients. The Capability, Opportunity, Motivation-Behaviour (COM-B) and Theoretical Domains Framework (TDF) are two complementary models previously applied to medication-taking behaviour. Understanding the patient-specific barriers and facilitators to adherence using psychological frameworks from the early stages of pharmacy education enables the design and delivery of effective interventions. Objectives: To examine whether a novel 'mock medicine' learning activity enabled students to experience the range of barriers and facilitators to medication adherence using the COM-B and TDF. Methods: A mock medicine activity was conducted with students at pharmacy schools in three universities in the UK, Norway, and Australia over one week. Percentage adherence was calculated for five dosing regimens; theoretical framework analysis was applied to map reflective statements from student logs to COM-B and TDF. Results: A total of 349 students (52.6%) returned completed logs, with high overall mean adherence (83.5%, range 0-100%). Analysis of the 277 (79.4%) students who provided reflective statements included barriers and facilitators that mapped onto one (9%), two (29%) or all three (62%) of the COM-B components and all fourteen TDF domains (overall mean = 4.04; Uni 1 = 3.72; Uni 2 = 4.50; Uni 3 = 4.38; range 1-8). Most frequently mapped domains were 'Environmental context and resources' (n = 199; 72%), 'Skills' (n = 186; 67%), 'Memory, attention and decision-making' (184; 66%) and 'Beliefs about capabilities' (n = 175; 63%). Conclusions: This is the first study to utilise both COM-B and TDF to analyse a proxy measure of medication adherence in pharmacy education. Data mapping demonstrated that students experienced similar issues to patients when prescribed a short course of medication. Importantly, all the factors influencing medication-taking reported by students were captured by these two psychological frameworks. Future educational strategies will involve students in the mapping exercise to gain hands-on experience of using these psychological constructs in practice.