Lessons learned from implementing a surge capacity support program for COVID-19 contact management in Ontario.

SETTING: In Ontario, local public health units (PHUs) are responsible for leading case investigations, contact tracing, and follow-up. The workforce capacity and operational requirements needed to maintain this public health strategy during the COVID-19 pandemic were unprecedented. INTERVENTION: Public Health Ontario's Contact Tracing Initiative (CTI) was established to provide a centralized workforce. This program was unique in leveraging existing human resources from federal and provincial government agencies and its targeted focus on initial and follow-up phone calls to high-risk close contacts of COVID-19 cases. By setting criteria for submissions to the program, standardizing scripts, and simplifying the data management process, the CTI was able to support a high volume of calls. OUTCOMES: During its 23 months of operation, the CTI was used by 33 of the 34 PHUs and supported over a million calls to high-risk close contacts. This initiative was able to meet its objectives while adapting to the changing dynamics of the pandemic and the implementation of a new COVID-19 provincial information system. Core strengths of the CTI were timeliness, volume, and efficient use of resources. The CTI was found to be useful for school exposures, providing support when public health measures were lifted, and in supporting PHU's reallocation of resources during the vaccine roll-out. IMPLICATIONS: When considering future use of this model, it is important to take note of the program strengths and limitations to ensure alignment with future needs for surge capacity support. Lessons learned from this initiative could provide practice-relevant knowledge for surge capacity planning.

RéSUMé: CONTEXTE: En Ontario, ce sont les bureaux de santé publique qui s'occupent des enquêtes de cas, de la recherche des contacts et des suivis. Pendant la pandémie de COVID-19, les besoins opérationnels et de capacité de la main-d'œuvre à combler pour conserver cette stratégie de santé publique ont atteint une ampleur jamais vue. INTERVENTION: L'Initiative de recherche des contacts dans le cadre de la lutte contre la COVID-19 de Santé publique Ontario a été mise sur pied dans l'objectif de centraliser l'effectif. Mobilisant des ressources humaines d'organisations fédérales et provinciales, ce programme a permis de faire les appels initiaux et de suivi aux contacts étroits de cas de COVID-19 exposés à un risque élevé. Grâce à des critères bien établis pour les soumissions au programme, à l'uniformisation des scripts et à la simplification du processus de gestion des données, un grand volume d'appels a pu être traité. RéSULTATS: Durant les 23 mois de l'Initiative, 33 des 34 bureaux de santé publique y ont eu recours. Ce sont ainsi plus d'un million d'appels à des contacts étroits qui ont pu être faits. L'Initiative a permis d'atteindre les objectifs en s'adaptant au contexte pandémique en constante évolution et de mettre en œuvre un nouveau système de gestion des renseignements provinciaux sur la COVID-19. Ses grandes forces sont la rapidité, le volume et l'efficacité de l'utilisation des ressources. Elle a été particulièrement utile dans les cas d'exposition en milieu scolaire, permettant d'offrir du soutien à la levée des mesures sanitaires et d'aider à la réaffectation des ressources des bureaux de santé publique pendant la campagne de vaccination. CONSéQUENCES: Si l'on envisage de réutiliser ce modèle, il importe de tenir compte des forces et des faiblesses du programme pour qu'il cadre avec les besoins futurs de soutien en matière de capacité de mobilisation. Les leçons tirées de cette initiative pourraient s'avérer pertinentes pour la planification de cette capacité.

Characteristics To Consider In A Knowledge Translation Theory, Model Or Framework For Health Technology Reassessment

IntroductionHealth technology reassessment (HTR) is a structured evidence-based assessment of an existing technology in comparison to its alternatives. The process results in the following four outputs: (i) increased use;(ii) decreased use;(iii) no change;or (iv) de-adoption. However, implementing these outputs remains a challenge. Knowledge translation (KT) can be applied to implement findings from the HTR process. This study sought to identify which characteristics of KT theories, models, and frameworks (TMFs) could be useful, specifically for decreasing the use of or de-adopting a technology.MethodsA qualitative descriptive approach was used to ascertain the perspectives of international KT and HTR experts on the characteristics of KT TMFs for decreasing the use of or de-adopting a technology. One-to-one semi-structured interviews were conducted. Interviews were audio recorded and transcribed verbatim. Themes and sub-themes were deduced from the data through framework analysis using the following five distinctive steps: familiarization;identifying an analytic framework;indexing;charting;and mapping and interpretation. Themes and sub-themes were also mapped to existing KT TMFs.ResultsThirteen experts participated. The following three themes emerged as ideal characteristics of a KT TMF: (i) principles foundational for HTR: evidence-based, high usability, patient-centered, and ability to apply to micro, meso, and macro levels;(ii) levers of change: characterized as positive, neutral, or negative influences for changing behavior;and (iii) steps for knowledge to action: build the case for HTR, adapt research knowledge, assess context, select, tailor, and implement interventions, and assess impact. The Consolidated Framework for Implementation Research had the greatest number of ideal characteristics.ConclusionsApplication of KT TMFs to the HTR process has not been clearly established. This is the first study to provide an understanding of characteristics within KT TMFs that could be considered by users undertaking projects to decrease or de-adopt technologies. Characteristics to be considered within a KT TMF for implementing HTR outputs were identified. Consideration of these characteristics may guide users in choosing which KT TMF(s) to use when undertaking HTR projects.