BackgroundIn 2014, nursing home administration and government officials were facing increasing public and media scrutiny around the variation of antipsychotic medication (APM) prescribing across Ontario nursing homes. In response, policy makers partnered to test an academic detailing (AD) intervention to address appropriate prescribing of APM in nursing homes in a cluster-randomized trial. This mixed-methods study aimed to explore how and why the AD intervention may have resulted in changes in the nursing home context. The objectives were to understand how the intervention was implemented, explore contextual factors associated with implementation, and examine impact of the intervention on prescribing.MethodsAdministrative data for the primary outcome of the full randomized trial will not be available for a minimum of 1 year. Therefore, this paper reports the findings of a planned, quantitative interim trial analysis assessed mean APM dose and prescribing prevalence at baseline and 3 and 6 months across 40 nursing homes (18 intervention, 22 control). Patient-level administrative data regarding prescribing were analyzed using generalized linear mixed effects regression. Semi-structured interviews were conducted with nursing home staff from the intervention group to explore opinions and experiences of the AD intervention. Interviews were analyzed using the framework method, with constructs from the Consolidated Framework for Implementation Research (CFIR) applied as pre-defined deductive codes. Open coding was applied when emerging themes did not align with CFIR constructs. Qualitative and quantitative findings were triangulated to examine points of divergence to understand how the intervention may work and to identify areas for future opportunities and areas for improvement.ResultsNo significant differences were observed in prescribing outcomes. A total of 22 interviews were conducted, including four academic detailers and 18 nursing home staff. Constructs within the CFIR domains of Outer Setting, Inner Setting, and Characteristics of Individuals presented barriers to antipsychotic prescribing. Intervention Source, Evidence Strength and Quality, and Adaptability explained participant engagement in the AD intervention; nursing homes that exhibited a Tension for Change and Leadership Engagement reported positive changes in processes and communication.ConclusionsParticipants described their experiences with the intervention against the backdrop of a range of factors that influence APM prescribing in nursing homes that exist at the system, facility, provider, and resident levels. In this context, the perceived credibility and flexibility of the intervention were critical features that explained engagement with and potential impact of the intervention. Development of a common language across the team to enable communication was reported as a proximal outcome that may eventually have an effect on APM prescribing rates. Process evaluations may be useful during early stages of evaluation to understand how the intervention ...
There was evidence indicating that in the treatment of opioid use disorder, injectable hydromorphone, or injectable methadone provided more benefit at less cost compared with injectable diacetylmorphine over a 6-month time horizon. Evidence suggests that in the treatment of opioid use disorder, both injectable hydromorphone and injectable diacetylmorphine are likely to provide more benefit at less cost than methadone maintenance treatment. Treatment with injectable hydromorphone was more cost-effective than injectable diacetylmorphine in opioid use disorder patients who do not respond to or relapse from drug treatments. The evidence is limited because observed data were collected during a short-term follow-up, and long-term cost-effectiveness outcomes were based on extrapolations beyond data from the actual studies. One guideline provided a weak recommendation, supported by low-quality evidence, for using slow-release oral morphine in older adults with adequate renal function in whom buprenorphine and methadone maintenance have been ineffective to treat opioid use disorder or could not be tolerated. Another guideline recommends using injectable hydromorphone or injectable diacetylmorphine for individuals with severe opioid use disorders who relapsed previous treatments failed. No relevant cost-effectiveness evidence or guidelines with recommendations regarding the use of oral hydromorphone, fentanyl patches, or fentanyl buccal tablets for opioid use disorder treatment were identified; therefore, no summary can be provided.
Direct-to-patient virtual visits are a way of providing health care to patients in their location of choice, using technology (e.g., phone, text messaging, video conferencing). The use of virtual visits has the potential to overcome many of the barriers associated with in-person care, including improved access, convenience, and cost savings. Many communities that are underserved by in-person care also face barriers to virtual care. There is a risk that current health inequities will be exacerbated if barriers such as, for example, reliable access to an internet-connected device, technology literacy, and language barriers are not addressed. Virtual visits have been used safely and effectively for many types of health care visits. There is a lack of evidence on the cost-effectiveness of virtual visits. Regulations regarding the provision of virtual visits are needed to uphold equitable access to publicly funded health care as mandated by the Canada Health Act.
The evidence regarding the clinical effectiveness of stellate ganglion block for the treatment of post-traumatic stress disorder was mixed. A randomized controlled trial included in a systematic review did not detect significant differences in post-traumatic stress disorder symptoms in the stellate ganglion block versus sham groups, while another randomized controlled trial did detect significantly greater improvements in symptoms between these groups. Furthermore, the second randomized controlled trial detected significantly greater improvements in depression, anxiety, and distress, but not in pain and mental and physical functioning for participants receiving stellate ganglion block compared to sham. Authors of the randomized controlled trial included in the systematic review did not detect significant differences in rates of adverse events between groups. Of the 6 adverse events reported in the second randomized controlled trial, 3 were deemed related to stellate ganglion block treatment (injection site pain, self-resolving bradycardia, and temporary laryngeal irritation); the statistical analysis was not reported. Authors of 1 evidence-based guideline were unable to provide recommendations for or against the use of stellate ganglion block for the treatment of post-traumatic stress disorder because of insufficient evidence. No relevant literature or guidelines regarding the clinical effectiveness or use of stellate ganglion block for the treatment of depression or anxiety were identified.
A literature search informed this Environmental Scan and identified 11 evaluations of virtual care in primary care health settings and 7 publications alluding to methods, standards, and guidelines (referred to as evaluation guidance documents in this report) being used in various countries to evaluate virtual care in primary care health settings. The majority of included literature was from Australia, the US, and the UK, with 2 evaluation guidance documents published by the Heart and Stroke Foundation of Canada. Evaluation guidance documents recommended using measurements that assess the effectiveness and quality of clinical care including safety outcomes, time and travel, financial and operational impact, participation, health care utilization, technology experience including feasibility, user satisfaction, and barriers and facilitators or measures of health equity. Evaluation guidance documents specified that the following key decisions and considerations should be integrated into the planning of a virtual care evaluation: refining the scope of virtual care services; selecting an appropriate meaningful comparator; and identifying opportune timing and duration for the evaluation to ensure the evaluation is reflective of real-world practice, allows for adequate measurement of outcomes, and is comprehensive, timely, feasible, non-complex, and non–resource-intensive. Evaluation guidance documents highlighted that evaluations should be systematic, performed regularly, and reflect the stage of virtual care implementation to encompass the specific considerations associated with each stage. Additionally, evaluations should assess individual virtual care sessions and the virtual care program as a whole. Regarding economic components of virtual care evaluations, the evaluation guidance documents noted that costs or savings are not limited to monetary or financial measures but can also be represented with time. Cost analyses such as cost-benefit and cost-utility estimates should be performed with a specific emphasis on selecting an appropriate perspective (e.g., patient or provider), as that influences the benefits, effects, and how the outcome is interpreted. Two identified evaluations assessed economic outcomes through cost analyses in the perspective of the patient and provider. Evidence suggests that, in some circumstances, virtual care may be more cost-effective and reduces the cost per episode and patient expenses (e.g., travel and parking costs) compared to in-person care. However, virtual care may increase the number of individuals treated, which would increase overall health care spending. Four identified evaluations assessed health care utilization. The evidence suggests that virtual care reduces the duration of appointments and may be more time-efficient compared to in-person care. However, it is unclear if virtual care reduces the use of medical resources and the need for follow-up appointments, hospital admissions, and emergency department visits compared to in-person care. Five identified evaluations assessed participation outcomes. Evidence was variable, with some evidence reporting that virtual care reduced attendance (e.g., reduced attendance rates) and other evidence noting improved attendance (e.g., increased completion rate and decreased cancellations and no-show rates) compared to in-person care. Three identified evaluations assessed clinical outcomes in various health contexts. Some evidence suggested that virtual care improves clinical outcomes (e.g., in primary care with integrated mental health services, symptom severity decreased) or has a similar effect on clinical outcomes compared to in-person care (e.g., use of virtual care in depression elicited similar results with in-person care). Three identified evaluations assessed the appropriateness of prescribing. Some studies suggested that virtual care improves appropriateness by increasing guideline-based or guideline-concordant antibiotic management, or elicits no difference with in-person care.
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