Patient-reported indicators in mental health care: towards international standards among members of the OECD.

BACKGROUND: Achieving people-centred health care systems requires new and innovative strategies to capture information about whether, and to what degree, health care is successful in improving health from the perspective of the patient. Patient-reported outcome measures (PROMs) and Patient-reported experience measures (PREMs) can bring some of these new insights, and are increasingly used in research, clinical care, and policymaking. METHODS: This paper reflects the ongoing discussions and findings of the OECD PaRIS Working Group on Patient-reported Indicators for Mental Health Care. RESULTS: The OECD has been measuring quality of care for mental health conditions over the last 14 years through the Health Care Quality and Outcomes (HCQO) program; nonetheless, information on how persons with mental health problems value the services they receive, and impact of the services, remains limited. As of 2018, a survey from the OECD showed that only five of the twelve countries surveyed (Australia, Israel, Netherlands, Sweden, United Kingdom) reported PROMs and PREMs collection on a regular basis in mental health settings. The paper details some of the challenges specific to the collection and use of PROMs and PREMs in mental health care, and examples from countries which have implemented comprehensive programmes to gather information about PROMs and PREMs for individuals receiving mental health services. CONCLUSIONS: Given the health and economic impact of mental ill-health across all OECD countries, there is significant value to being able to assess the quality and outcomes of care in this area using internationally-comparable measures. Continued international harmonisation of PROMs and PREMs for mental health through international coordination is a key way to facilitate the sharing of national experiences, promote the use of PROMs and PREMs, and create meaningful indicators for national and international benchmarking.

Updates to and quality of clinical practice guidelines for high-priority diseases in Japan.

PURPOSE: To examine the update status of clinical practice guidelines (CPGs) for 24 main diseases in Japan, and to clarify the quality of and issues pertaining to the most recent versions of CPGs for each disease. DATA SOURCES: CPGs were searched in two Japanese guideline databases. STUDY SELECTION: All relevant Japanese CPGs published between January 1999 and July 2016 were selected. DATA EXTRACTION: The developer and issue date were extracted for all target CPGs. The most recent CPGs were assessed using the Appraisal of Guidelines for Research and Evaluation-II (AGREE II) instrument. RESULTS OF DATA SYNTHESIS: Among 106 target CPGs, 24 most recent CPGs were subjected to assessment using the AGREE II instrument. CPGs for 11 diseases (46%) had a mean time interval for update of ≥5 years. Among the 24 CPGs subjected to AGREE II assessment, median domain scores were 74% for "Domain 1: Scope and Purpose," 43% for "Domain 2: Stakeholder Involvement," 46% for "Domain 3: Rigor of Development," 69% for "Domain 4: Clarity of Presentation," 24% for "Domain 5: Applicability" and 27% for "Domain 6: Editorial Independence." CONCLUSIONS: The systematic assessment of CPGs for 24 major diseases in Japan revealed a trend for a delay in timing of update for many CPGs. Moreover, the 24 most recent CPGs had low domain scores for domains 2, 3, 5 and 6. In the future, concrete measures will need to be considered in order to improve the quality of CPGs.

A system for the management, display and integration of pre-hospital healthcare activity in the deployed environment.

AIM: To create and implement a system through which pre-hospital healthcare activity across an entire operational theatre could be made available in real-time to support healthcare delivery, governance and assurance activity. METHODS: An IT-based system was created that could display, manage and integrate the pre-hospital healthcare activity on Op HERRICK 18. The system was based on the Defence Medical Services Common Assurance Framework and run through Microsoft Office SharePoint. RESULTS: Pre-hospital healthcare activity was made available and visible across an operational theatre. This supported delivery, assurance and governance at any time. Activity from each medical facility could be integrated and display automatically improving theatre wide situational awareness. The availability of information resulted in a shift towards a more continuous process of assurance and governance rather than reliance on inherently threatening and increasingly intermittent inspection regimes. DISCUSSION: The ability to review healthcare activity remotely at anytime significantly improves the validity of assurance possible for a deployed force. Governance activity can be more responsive and less reliant on the fixed timescale and datasets of reports from outlying medical facilities. However, assurance and governance authorities must not allow such a wealth of information to impact local leadership and innovation through a perception of, or actual, micro-management.

The Role 1 capability review: mitigation and innovation for Op HERRICK 18 and into contingency.

The Role 1 orientated JRAMC of September 2012 was a welcome addition to the body of Role 1 literature. In particular, the Role 1 capability review by Hodgetts and Findlay detailed both current issues and future aspirations for Role 1 provision. This personal view considers issues still prevalent during Op HERRICK 18 namely the provision of primary healthcare by combat medical technicians on operations and the organisational issues that contribute to historical structural and attitudinal obstructions to the employment of combat medical technicians in firm base primary healthcare. It also considers a dynamically updating dashboard capable of displaying risk across the Role 1 network with the implied move to a model of continuous healthcare assurance.

Estimating the probability of demonstrating vaccine efficacy in the declining Ebola epidemic: a Bayesian modelling approach.

OBJECTIVES: We investigate the chance of demonstrating Ebola vaccine efficacy in an individually randomised controlled trial implemented in the declining epidemic of Forécariah prefecture, Guinea. METHODS: We extend a previously published dynamic transmission model to include a simulated individually randomised controlled trial of 100,000 participants. Using Bayesian methods, we fit the model to Ebola case incidence before a trial and forecast the expected dynamics until disease elimination. We simulate trials under these forecasts and test potential start dates and rollout schemes to assess power to detect efficacy, and bias in vaccine efficacy estimates that may be introduced. RESULTS: Under realistic assumptions, we found that a trial of 100,000 participants starting after 1 August had less than 5% chance of having enough cases to detect vaccine efficacy. In particular, gradual recruitment precludes detection of vaccine efficacy because the epidemic is likely to go extinct before enough participants are recruited. Exclusion of early cases in either arm of the trial creates bias in vaccine efficacy estimates. CONCLUSIONS: The very low Ebola virus disease incidence in Forécariah prefecture means any individually randomised controlled trial implemented there is unlikely to be successful, unless there is a substantial increase in the number of cases.