In a survey of 202 participants, Monday was cited most frequently as the worst morning (65%) and evening (35%); whereas Friday (43%) and Saturday (45%) were the best evening and morning, respectively. Test–retest reliability was higher for worst morning (.89) and evening (.83) judgments, compared to best morning (.44) and evening (.61) judgments. In a second survey of 353 participants, ratings of typical moods were lowest on Monday, rising to a peak on Saturday, but actual momentary moods showed little or no variation by day. Remembered moods from the previous Monday were more strongly related to typical moods than to actual moods, but the reverse was true of remembered moods from the previous Friday and Saturday.

A meta-analysis of 34 samples identified a small but reliable "Monday blues" effect (-.08 < or = d < or = -.06) in samples reporting current or real-time moods for each day of the week. However, the size of the effect in samples reporting recalled summaries of moods experienced over the course of a day varied depending on whether the sample involved university students or nonstudents. University students reporting recalled summaries of daily moods showed a large Monday blues effect (d = -.25), whereas married men who were not students reported smaller effects with greater variance (-.19 < or = d

D igital health technologies and services are significant contributors to the transformation of health care delivery. It has been estimated that 80% of technology projects fail 1 due to uncertainty, abandonment and lack of organisational willingness to adopt. 2 In response to the high failure rate, the discipline of benefits management has emerged, with the aim of measuring and optimising the value of digital health initiatives. The development and application of benefits management has received some attention, 3 but owing to the infancy of the discipline there has been limited assessment of methodological frameworks and their application.In this article, we describe the framework that is being used to measure and quantify the benefits of the My Health Record system in Australia. We consider the strengths and limitations of this framework in the context of existing frameworks, and its ability to demonstrate digital health system benefits. We also identify priority areas for further development of digital health benefit evaluation frameworks. Further, we provide an overview of the approach to digital health system benefits evaluation in Australia, in the context of the My Health Record system. The National Digital Health Strategy and the My Health Record systemA role of the Australian Digital Health Agency has been to lead the development of the National Digital Health Strategy, to lay the foundations for a safe, seamless and secure health system. 4 This strategy comprises seven priority areas to be achieved by 2022. A key strategic priority is to provide health information whenever and wherever it is needed, and this is underpinned by the My Health Record system. My Health Record is a secure online summary of health information which can be accessed by people and their health care providers, and is patient-controlled. It is a personal health record, enabling people to access, manage and share their health information with their clinicians using a range of privacy controls. This functionality includes the ability to decline access to specific documents, set a control to restrict access to the entire record, see an audit trail of any organisations that have accessed the record, and block organisations from viewing the record. The record can contain summary information from general practice, hospital, pharmacy and other health care settings. It may also contain results of investigations, plus documents that patients create themselves (such as advance care plans and personal notes). In addition, it can provide access to Medicare documents such as Medicare Benefits Schedule and Pharmaceutical Benefits Scheme information, the Australian Immunisation Register and the Australian Organ Donor Register. The Australian Digital Health Agency's benefits evaluation frameworkA multimethod evaluation framework has been developed to comprehensively evaluate the benefits of the My Health Record system. It draws on approaches that have been used overseas and assesses the range of clinical contexts in which the system is used.Connect...

The objective of this study was to assess the viability and acceptability of an innovative Virtual Wound Care Command Centre where patients in the community, and their treating clinicians, have access to an expert wound specialist service that comprises a digitally enabled application for wound analysis, decision‐making, remote consultation, and monitoring. Fifty‐one patients with chronic wounds from 9 centres, encompassing hospital services, outpatient clinics, and community nurses in one metropolitan and rural state in Australia, were enrolled and a total of 61 wounds were analysed over 7 months. Patients received, on average, an occasion of service every 4.4 days, with direct queries responded to in a median time of 1.5 hours. During the study period, 26 (42.6%) wounds were healed, with a median time to healing of 66 (95% CI: 56‐88) days. All patients reported high satisfaction with their wound care, 86.4% of patients recommended the Virtual Wound Care Command Centre with 84.1% of patients reporting the digital wound application as easy to use. Potential mean travel savings of $99.65 for rural patients per visit were recognised. The data revealed that the Virtual Wound Care Command Centre was a viable and acceptable patient‐centred expert wound consultation service for chronic wound patients in the community.