Dataset Information

Utilizing the Learning Health System Adaptation to guide Family Medicine Practice to COVID-19 response.

ABSTRACT: COVID-19 supportive quarantine care in the community is managed by primary care practices. There is no current guidance on how a primary care practice with high volumes of patients screened for COVID-19 can re-configure itself to become responsive to the pandemic. We examined Learning Health System guidance from the National Academies of Science, Engineering and Medicine and adapted it to our primary care practice to create an efficient, effective, adaptive response to the COVID-19 pandemic. We suggest evaluating this response in the future for effectiveness and efficiency.

SUBMITTER: Khanna N

PROVIDER: S-EPMC7580135 | biostudies-literature | 2020 Jan-Dec

REPOSITORIES: biostudies-literature

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Utilizing the Learning Health System Adaptation to guide Family Medicine Practice to COVID-19 response.

Khanna Niharika N Klyushnenkova Elena N EN Kaysin Alexander A Stewart David L DL

Journal of primary care & community health 20200101

COVID-19 supportive quarantine care in the community is managed by primary care practices. There is no current guidance on how a primary care practice with high volumes of patients screened for COVID-19 can re-configure itself to become responsive to the pandemic. We examined Learning Health System guidance from the National Academies of Science, Engineering and Medicine and adapted it to our primary care practice to create an efficient, effective, adaptive response to the COVID-19 pandemic. We ...[more]

PMID: 33063617

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Project description:IntroductionDigital exposure notification (EN) approaches may offer considerable advantages over traditional contact tracing in speed, scale, efficacy, and confidentiality in pandemic control. We applied the science of learning health systems to test the effect of framing and digital means, email vs Short Message Service (SMS), on EN adoption among patients of an academic health center.MethodsWe tested three communication approaches of the Apple and Google EN system in a rapid learning cycle involving 15 000 patients pseudorandomly assigned to three groups. The patients in the first group received a 284-word email that presented EN as a tool that can help slow the spread. The patients in the second group received a 32-word SMS that described EN as a new tool to help slow the spread (SlowTheSpreadSMS). Patients in the third group received a 47-word SMS that depicted the system as a new digital tool that can empower them to protect their family and friends (EmpowerSMS). A brief four-question anonymous survey of adoption was included in a reminder message sent 2 days after the initial outreach.ResultsOne hundred and sixty people responded to the survey within 1 week: 2.33% from EmpowerSMS, 0.97% from SlowTheSpreadSMS, and 0.53% from emails; 29 (41.43%), 24 (41.38%), and 11 (34.38%) reported having adopted EN from each group, respectively. Patient reported barriers to adoption included iOS version incompatibility, privacy concerns, and low trust of government agencies or companies like Apple and Google. Patients recommended that healthcare systems play an active role in disseminating information about this tool. Patients also recommended advertising on social media and providing reassurance about privacy.ConclusionsThe EmpowerSMS resulted in relatively more survey responses. Both SMS groups had slightly higher, but not statistically significant EN adoption rates compared to email. Findings from the pilot not only informed operational decision-making in our health system but also contributed to EN rollout planning in our State.

Project description:BackgroundThe COVID-19 pandemic has shaken the world in early 2020. In France, General Practitioners (GPs) were not involved in the care organization's decision-making process before and during the first wave of the COVID-19 pandemic. This omission could have generated stress for GPs. We aimed first to estimate the self-perception of stress as defined by the 10-item Perceived Stress Score (PSS-10), at the beginning of the pandemic in France, among GPs from the Auvergne-Rhône-Alpes, a french administrative area severely impacted by COVID-19. Second, we aimed to identify factors associated with a self-perceived stress (PSS-10 ≥ 27) among socio-demographic characteristics of GPs, their access to reliable information and to personal protective equipment during the pandemic, and their exposure to well established psychosocial risk at work.MethodsWe conducted an online cross-sectional survey between 8th April and 10th May 2020. The self-perception of stress was evaluated using the PSS-10, so to see the proportion of "not stressed" (≤20), "borderline" (21 ≤ PSS-10 ≤ 26), and "stressed" (≥27) GPs. The agreement to 31 positive assertions related to possible sources of stress identified by the scientific study committee was measured using a 10-point numeric scale. In complete cases, factors associated with stress (PSS-10 ≥ 27) were investigated using logistic regression, adjusted on gender, age and practice location. A supplementary analysis of the verbatims was made.ResultsOverall, 898 individual answers were collected, of which 879 were complete. A total of 437 GPs (49%) were stressed (PSS-10 ≥ 27), and 283 GPs (32%) had a very high level of stress (PSS-10 ≥ 30). Self-perceived stress was associated with multiple components, and involved classic psychosocial risk factors such as emotional requirements. However, in this context of health crisis, the primary source of stress was the diversity and quantity of information from diverse sources (614 GPs (69%, OR = 2.21, 95%CI [1.40-3.50], p < 0.001). Analysis of verbatims revealed that GPs felt isolated in a hospital-based model.ConclusionThe first wave of the pandemic was a source of stress for GPs. The diversity and quantity of information received from the health authorities were among the main sources of stress.

Dataset Information

Utilizing the Learning Health System Adaptation to guide Family Medicine Practice to COVID-19 response.

Publications

Utilizing the Learning Health System Adaptation to guide Family Medicine Practice to COVID-19 response.

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