Dataset Information

Lessons Learned from the Lessons Learned in Public Health during the First Years of COVID-19 Pandemic.

ABSTRACT: (1) Objectives: to investigate the main lessons learned from the public health (PH) response to COVID-19, using the global perspective endorsed by the WHO pillars, and understand what countries have learned from their practical actions. (2) Methods: we searched for articles in PubMed and CINAHL from 1 January 2020 to 31 January 2022. 455 articles were included. Inclusion criteria were PH themes and lessons learned from the COVID-19 pandemic. One hundred and forty-four articles were finally included in a detailed scoping review. (3) Findings: 78 lessons learned were available, cited 928 times in the 144 articles. Our review highlighted 5 main lessons learned among the WHO regions: need for continuous coordination between PH institutions and organisations (1); importance of assessment and evaluation of risk factors for the diffusion of COVID-19, identifying vulnerable populations (2); establishment of evaluation systems to assess the impact of planned PH measures (3); extensive application of digital technologies, telecommunications and electronic health records (4); need for periodic scientific reviews to provide regular updates on the most effective PH management strategies (5). (4) Conclusion: lessons found in this review could be essential for the future, providing recommendations for an increasingly flexible, fast and efficient PH response to a healthcare emergency such as the COVID-19 pandemic.

SUBMITTER: Marcassoli A

PROVIDER: S-EPMC9914715 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Lessons Learned from the Lessons Learned in Public Health during the First Years of COVID-19 Pandemic.

Marcassoli Alessia A Leonardi Matilde M Passavanti Marco M De Angelis Valerio V Bentivegna Enrico E Martelletti Paolo P Raggi Alberto A

International journal of environmental research and public health 20230118 3

(1) Objectives: to investigate the main lessons learned from the public health (PH) response to COVID-19, using the global perspective endorsed by the WHO pillars, and understand what countries have learned from their practical actions. (2) Methods: we searched for articles in PubMed and CINAHL from 1 January 2020 to 31 January 2022. 455 articles were included. Inclusion criteria were PH themes and lessons learned from the COVID-19 pandemic. One hundred and forty-four articles were finally inclu ...[more]

PMID: 36767152

Similar Datasets

Project description:The development of the National Institutes of Health (NIH) COVID-19 Treatment Guidelines began in March 2020 in response to a request from the White House Coronavirus Task Force. Within 4 days of the request, the NIH COVID-19 Treatment Guidelines Panel was established and the first meeting took place (virtually-as did subsequent meetings). The Panel comprises 57 individuals representing 6 governmental agencies, 11 professional societies, and 33 medical centers, plus 2 community members, who have worked together to create and frequently update the guidelines on the basis of evidence from the most recent clinical studies available. The initial version of the guidelines was completed within 2 weeks and posted online on 21 April 2020. Initially, sparse evidence was available to guide COVID-19 treatment recommendations. However, treatment data rapidly accrued based on results from clinical studies that used various study designs and evaluated different therapeutic agents and approaches. Data have continued to evolve at a rapid pace, leading to 24 revisions and updates of the guidelines in the first year. This process has provided important lessons for responding to an unprecedented public health emergency: Providers and stakeholders are eager to access credible, current treatment guidelines; governmental agencies, professional societies, and health care leaders can work together effectively and expeditiously; panelists from various disciplines, including biostatistics, are important for quickly developing well-informed recommendations; well-powered randomized clinical trials continue to provide the most compelling evidence to guide treatment recommendations; treatment recommendations need to be developed in a confidential setting free from external pressures; development of a user-friendly, web-based format for communicating with health care providers requires substantial administrative support; and frequent updates are necessary as clinical evidence rapidly emerges.

Project description:Background: Contact tracing is a core element of the public health response to emerging infectious diseases including COVID-19. Better understanding the implementation context of contact tracing for pandemics, including individual- and systems-level predictors of success, is critical to preparing for future epidemics. Methods: We carried out a prospective implementation study of an emergency volunteer contact tracing program established in New Haven, Connecticut between April 4 and May 19, 2020. We assessed the yield and timeliness of case and contact outreach in reference to CDC benchmarks, and identified individual and programmatic predictors of successful implementation using multivariable regression models. We synthesized our findings using the RE-AIM implementation framework. Results: Case investigators interviewed only 826 (48%) of 1,705 cases and were unable to reach 545 (32%) because of incomplete information and 334 (20%) who missed or declined repeated outreach calls. Contact notifiers reached just 687 (28%) of 2,437 reported contacts, and were unable to reach 1,597 (66%) with incomplete information and 153 (6%) who missed or declined repeated outreach calls. The median time-to-case-interview was 5 days and time-to-contact-notification 8 days. However, among notified contacts with complete time data, 457 (71%) were reached within 6 days of exposure. The least likely groups to be interviewed were elderly (adjusted relative risk, aRR 0.74, 95% CI 0.61-0.89, p = 0.012, vs. young adult) and Black/African-American cases (aRR 0.88, 95% CI 0.80-0.97, pairwise p = 0.01, vs. Hispanic/Latinx). However, ties between cases and their contacts strongly influenced contact notification success (Intraclass Correlation Coefficient (ICC) 0.60). Surging caseloads and high volunteer turnover (case investigator n = 144, median time from sign-up to retirement from program was 4 weeks) required the program to supplement the volunteer workforce with paid public health nurses. Conclusions: An emergency volunteer-run contact tracing program fell short of CDC benchmarks for time and yield, largely due to difficulty collecting the information required for outreach to cases and contacts. To improve uptake, contact tracing programs must professionalize the workforce; better integrate testing and tracing services; capitalize on positive social influences between cases and contacts; and address racial and age-related disparities through enhanced community engagement.

Project description:BackgroundHealth challenges like coronavirus disease 2019 (COVID-19) are becoming increasingly complex, transnational, and unpredictable. Studying health system responses to the COVID-19 pandemic is an opportunity to enhance our understanding of health system resilience and establish a clearer link between theoretical concepts and practical ideas on how to build resilience.MethodsThis narrative literature review aims to address four questions using a health system resilience framework: (i) What do we understand about the dimensions of resilience? (ii) What aspects of the resilience dimensions remain uncertain? (iii) What aspects of the resilience dimensions are missing from the COVID-19 discussions? and (iv) What has COVID-19 taught us about resilience that is missing from the framework? A scientific literature database search was conducted in December 2020 and in April 2022 to identify publications that discussed health system resilience in relation to COVID-19, excluding articles on psychological and other types of resilience. A total of 63 publications were included.ResultsThere is good understanding around information sharing, flexibility and good leadership, learning, maintaining essential services, and the need for legitimate, interdependent systems. Decision-making, localized trust, influences on interdependence, and transformation remain uncertain. Vertical interdependence, monitoring risks beyond the health system, and consequences of changes on the system were not discussed. Teamwork, actor legitimacy, values, inclusivity, trans-sectoral resilience, and the role of the private sector are identified as lessons from COVID-19 that should be further explored for health system resilience.ConclusionKnowledge of health system resilience has continued to cohere following the pandemic. The eventual consequences of system changes and the resilience of subsystems are underexplored. Through governance, the concept of health system resilience can be linked to wider issues raised by the pandemic, like inclusivity. Our findings show the utility of resilience theory for strengthening health systems for crises and the benefit of continuing to refine existing resilience theory.

Dataset Information

Lessons Learned from the Lessons Learned in Public Health during the First Years of COVID-19 Pandemic.

Publications

Lessons Learned from the Lessons Learned in Public Health during the First Years of COVID-19 Pandemic.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets