A Framework for Transforming Primary Care Health Care Professions Education and Training to Promote Health Equity

2020 ◽  
Vol 31 (4S) ◽  
pp. 193-207
Author(s):  
Chyke A. Doubeni ◽  
Tonya L Fancher ◽  
Paul Juarez ◽  
Christine Riedy ◽  
Stephen D. Persell ◽  
...  
2022 ◽  
Vol 2 (1) ◽  
pp. es0358
Author(s):  
Daphne Hui ◽  
Bert Dolcine ◽  
Hannah Loshak

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.


Diabetes Care ◽  
2021 ◽  
pp. dc210853
Author(s):  
Anita D. Misra-Hebert ◽  
Bo Hu ◽  
Kevin M. Pantalone ◽  
Elizabeth R. Pfoh

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1657-1657
Author(s):  
Kaley Mafong ◽  
Sally Kim ◽  
Ken Fujioka

Abstract Objectives Smart Scales are electronic scales that can store and track data (weights) with the ability to send data to an internet based portal. This data could go to the Health Care Provider (HCP) to help with weight management. It is known that patients that weigh frequently (more than once a week vs. weekly or monthly) will lose more weight than patients who do not.The objective is to determine if patients are willing to weigh daily and use a smart scale that would transmit their weight to their HCP. Methods A questionnaire was given to 100 consecutive primary care health insured patients willing to answer questions about usual practices of weighing (daily, weekly, monthly), whether the patient owns a scale, would they be willing to weigh daily, would they use a smart scale, would they be willing to share this data with their HCP, and would they purchase such a scale. Results Demographics: the average BMI was 28.4, 84% female, 18% of patients age 18 to 39.9 years of age, 35% age 40–64.9, 47% age 65 or higher. 48% were Caucasian, 31% Hispanic, 21% Asian, 4% African American (several patients identified with more than one race). 85% of patients owned a scale. 70% of patients weigh themselves at home. 25% weight less than once a month. 69% weight monthly or more, 41% weigh weekly or more, and 20% weigh daily (or most days of the week). Questionnaire answers: 72% of the patients would be willing to use a smart scale. 66% of patients would be willing to weigh daily and 65% of patients are willing to have this data communicated to their HCP. 54% of patients would not be willing to buy a smart scale and of those willing to buy a smart scale the price would need to be between $45 and $30 US dollars for the majority of the patients. 2% felt they could not afford a smart scale. Conclusions Health care is changing towards more telemedicine for appropriate disease states. Obesity or weight management may be ideal for this type of health care. Frequent self-weighing with a smart scale would be a good fit in this setting. This study shows that the majority of patients do not weigh frequently, but would be willing to weigh daily, and have this data transmitted to their HCP. Unfortunately just over half (54%) of the patients would not be willing to buy a smart scale and 2% cannot afford a smart scale. Funding Sources None.


Author(s):  
Catherine L. Grus

This chapter provides an overview of key developments in the education, training, and credentialing of clinical psychologists; new roles in the field; and intersecting issues across these domains. Emerging issues highlighted within education and training include the move toward the assessment of competence in trainees, accreditation developments, and the doctoral internship match imbalance. Changes in licensing laws, mobility, and the degree of coordination between education and training and credentialing systems are described. Expanded roles for clinical psychologist, such as in health-care settings and public health, are reviewed. Finally, emerging developments such workforce analyses conducted within and across health-care professions and the relationship of issues such to national policy initiatives that are and will impact the future of clinical psychology are presented.


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