Dataset Information

A multistakeholder development process to prioritize and translate COVID-19 health recommendations for patients, caregivers and the public. A case study of the COVID-19 recommendation map.

ABSTRACT:

Background and objectives

To develop a digital communication tool to improve the implementation of up-to-date COVID-19 recommendations. Specifically, to improve patient, caregiver and public understanding of healthcare recommendations on prevention, diagnoses and treatment.

Methods

Multi-stakeholder engagement design. In conjunction with the COVID-19 Recommendations and Gateway to Contextualization RecMap, we co-developed a stakeholder prioritization, drafting and editing process to enhance guideline communication and understanding.

Results

This paper presents the multi-stakeholder development process with three distinct plain language recommendation formats: formal recommendation, good practice statement, and additional guidance. Our case study of COVID-19 plain language recommendations PLRs addresses both public health interventions (e.g., vaccination, face masks) and clinical interventions (e.g., home pulse oximetry).

Conclusion

This paper presents a novel approach to engaging stakeholders in improving the communication and understanding of published guidelines during the COVID-19 pandemic.

SUBMITTER: Pottie K

PROVIDER: S-EPMC9055415 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature

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Publications

A multistakeholder development process to prioritize and translate COVID-19 health recommendations for patients, caregivers and the public. A case study of the COVID-19 recommendation map.

Pottie Kevin K Smith Maureen M Matthews Micayla M Santesso Nancy N Magwood Olivia O Kredo Tamara T Scott Sarah S Bayliss Kerin K Saad Ammar A Haridas Rinila R Detambel Nicole N Motilall Ashley A Tan Yvonne Y Steinberg Sally S Litynska Justyna J Dietl Bart B Ioiri Alfonso A Reveiz Ludovic L Welch Vivian V Klugar Miloslav M Mbuagbaw Lawrence L Rojas Maria Ximena MX Florez Ivan D ID Lotfi Tamara T Qaseem Amir A Mathew Joseph L JL Akl Elie A EA Tugwell Peter P Schünemann Holger J HJ

Journal of clinical epidemiology 20220430

<h4>Background and objectives</h4>To develop a digital communication tool to improve the implementation of up-to-date COVID-19 recommendations. Specifically, to improve patient, caregiver and public understanding of healthcare recommendations on prevention, diagnoses and treatment.<h4>Methods</h4>Multi-stakeholder engagement design. In conjunction with the COVID-19 Recommendations and Gateway to Contextualization RecMap, we co-developed a stakeholder prioritization, drafting and editing process ...[more]

PMID: 35500815

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Project description:BackgroundThe emergence of new SARS-CoV-2 variants makes it difficult to forecast potential epidemiological changes. This study investigates Saudi citizens' perceptions of COVID-19 during the Omicron wave.MethodsWe conducted a cross-sectional study using an online survey and a convenience sample of 746 participants. The survey included questions about demographics, anxiety levels, and perception of COVID-19 during the Omicron wave.ResultsOur findings revealed that 27.3% of the participants believed that COVID-19 cases would decrease, while 30.2% believed that cases would increase; the remaining 42.5% were uncertain. When asked about the primary reasons for expecting a rise in COVID-19 cases, the two most frequently cited causes were non-adherence to prevention measures (74.7%) and the high transmissibility of the virus (66.7%). Conversely, when asked about the primary reasons for expecting a decrease in COVID-19 cases, participants cited the availability of free vaccines (60.3%), government measures (59.9%), compliance with preventive measures (57.4%), and health awareness programs (44.1%). Multivariate logistic regression analysis indicated that anxiety about COVID-19 (AOR = 1.23, 95% CI: 1.15-1.32) and education level (AOR = 1.58, 95% CI: 1.11-2.25) were significant predictors of respondents' expectations of increases or decreases in COVID-19 cases (p < 0.05). Around 46.2% of participants were moderately to highly worried about the reinstatement of lockdowns, while 36.2% reported moderate to high levels of anxiety related to COVID-19. Ordinal logistic regression analysis showed that respondents who reported higher levels of worry about the reinstatement of lockdowns were 1.28 times more likely to experience higher levels of anxiety related to COVID-19 (p < 0.05). A few participants were hesitant to adhere to preventive measures because they had already been vaccinated or believed that COVID-19 was not real or severe. This hesitancy raises public health concerns, suggesting that some individuals may underestimate the risks associated with COVID-19 and future pandemics.ConclusionThis study provides valuable insights into how Saudi citizens perceived COVID-19 during the Omicron wave. Understanding these perceptions can guide the development of public health policies, optimize resource allocation, help control the potential transmission of viral variants, and enhance preparedness for future pandemics.

Dataset Information

A multistakeholder development process to prioritize and translate COVID-19 health recommendations for patients, caregivers and the public. A case study of the COVID-19 recommendation map.

Background and objectives

Methods

Results

Conclusion

Publications

A multistakeholder development process to prioritize and translate COVID-19 health recommendations for patients, caregivers and the public. A case study of the COVID-19 recommendation map.

Similar Datasets

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