Publications by authors named "Thomas G Poder"

Background: General practitioners (GPs) extensively used synchronous teleconsultation (STC) during the COVID-19 pandemic. Although this utilization decreased after the state of sanitary emergency was lifted, it remains higher than pre-pandemic levels.

Methods: The aim is to summarize the scientific evidence on the factors influencing GPs’ decision to conduct STC instead of face-to-face consultation.

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Background: Synchronous teleconsultations using video or phone have become an increasingly popular method for delivering healthcare, especially in primary care. This modality enhances access to care, particularly for individuals in remote or underserved areas, and was especially significant during disruptions like the COVID-19 pandemic. Despite these benefits, patient perspectives on teleconsultations with general practitioners (GPs) remain underexplored.

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Background: A key challenge in ordinal methods is to anchor estimated health utility values onto the full health-dead scale. This study assessed five methods of anchoring.

Methods: Data were collected between 2016 and 2020 through two surveys conducted in the Quebec general population, with 1,176 and 908 respondents.

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Background: We aimed to summarize the evidence on the use of discrete choice experiments (DCEs) and conjoint analyses to quantify stakeholders' preferences for screening programs for type 2 diabetes (T2D) and liver diseases, with a specific focus on metabolic dysfunction-associated steatotic liver disease (MASLD).

Methods: For this scoping review, five databases (MEDLINE [PubMed], PubMed Central, EMBASE [Ovid], Europe PMC, Google Scholar) were searched with the assistance of a librarian, and deduplicated records were screened by two independent reviewers. Inclusion criteria: using DCE/CA, addressing screening programs for T2D and liver disease, published in English, French, or Spanish after January 1990.

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The prevalence of mood disorders has increased globally. People with mood disorders have been found to use more health services than the general population, although a mood disorder diagnosis does not necessarily entail utilization of health services. This heterogeneity in health services utilization could make it difficult for governments to plan resources to meet the needs of people with mood disorders.

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Developing and implementing effective surveillance programs for infectious diseases (ID) and antimicrobial resistance (AMR) requires the integration of information across relevant disciplines and sectors. Yet, establishing and sustaining collaboration at each step of the surveillance process, and modalities to translate integrated surveillance results into actions, are not well understood. This systematic review was designed to map and explore peer-reviewed tools that were either designed or used for evaluation of integrated surveillance systems for ID or AMR, and to identify the limitations of these tools and remaining methodological or knowledge gaps.

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This study was conducted to demonstrate the impact of a software-based cost awareness intervention on the reduction of cost of surgical disposables used in thoracic, gynecological, colorectal and plastic surgery. We used a prospective, non-randomized, pre-post trial in video assisted thoracic surgery (VATS) lobectomy, total laparoscopic hysterectomy, laparoscopic low anterior resection, and deep inferior epigastric perforator (DIEP) flap breast reconstruction. Overall, 775 cases performed between February 2021 and August 2023 were included in the study, 521 for VATS lobectomy (control n = 164), 127 for laparoscopic total hysterectomy (control n = 19), 48 for laparoscopic colorectal surgery (control n = 8), and 79 for DIEP flap breast reconstruction (control n = 53).

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Objective: Congenital cytomegalovirus (CMV) infection is a major cause of deafness and neurodevelopmental disability in children. Our objective was to assess the cost utility of first-trimester serological CMV screening, compared to screening of high-risk pregnancies and no serological screening.

Design: A decision-analytic model was created to compare the cost utility of three strategies from a healthcare sector perspective: universal first-trimester serological screening, screening only of high-risk pregnant women (both including antiviral prophylaxis in cases of primary infection) and serological testing triggered by foetal morphological ultrasound (no CMV serological screening).

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Background: The COVID-19 pandemic necessitated the rapid availability of evidence to respond in a timely manner to the needs of practice settings and decision-makers in health and social services. Now that the pandemic is over, it is time to put in place actions to improve the capacity of systems to meet knowledge needs in a situation of crisis. The main objective of this project was thus to develop an action plan for the rapid syntheses of evidence in times of health crisis in Quebec (Canada).

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Objective: To develop a value set for the Short-Form 6-Dimension version 2 (SF-6Dv2) by incorporating societal preferences obtained from three distinct approaches: Standard Gamble (SG), composite Time Trade-Off (cTTO), and Discrete Choice Experiment (DCE).

Methods: Data were gathered from the general population of Quebec, Canada, using the standardized valuation protocol developed by EuroQol for the cTTO and DCE tasks, as well as the valuation protocol developed by Sheffield University for the SG. The SG and cTTO data were analyzed using OLS, GLS, GLS Tobit, and heteroskedastic Tobit models.

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Background: The dead state can affect the value sets derived from discrete choice experiments (DCEs). Our aim was to empirically assess the direct impact of the immediate death state on health utilities using discrete choice experiment with time (DCE).

Methods: A sample of the general population in Quebec, Canada, completed two approaches: DCE followed by a best-worst scaling with time (BWS) (hereafter referred to as DCE), versus DCE followed by the dominated option and the immediate death state (hereafter referred to as DCE), both designed with the SF-6Dv2.

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Background: An updated version of the Short-Form 6-Dimension (SF-6D) Classification System has been developed. This new version (SF-6Dv2) with improved consistency and dimension descriptors is now requiring the development of new utility value sets. The aim of this study was to estimate an SF-6Dv2 value set from a general population in Quebec, Canada.

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Objectives: To provide population utility norms from the Health Utilities Index Mark 3 (HUI3) for the province of Quebec, Canada.

Methods: This study used data from the Care Trajectories Enriched Data (TorSaDE) cohort, which combines data from the Canadian Community Health Survey (CCHS) and the Quebec Provincial Insurance Board [Régie de l'assurance maladie du Quebec (RAMQ)]. The CCHS is a multiround health-related survey conducted by Statistics Canada since 2007.

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Background: Patient-reported outcome measures (PROMs) and patient-reported experience measures (PREMs) are becoming essential parts of a learning health system, and using these measures is a promising approach for value-based healthcare. However, evidence regarding healthcare professional and patient organizations' knowledge, use and perception of PROMs and PREMs is lacking.

Objectives: The objectives of the study were to: 1- Describe the current knowledge and use of PROMs and PREMs by healthcare professional and patient organizations, 2- Describe the determinants of PROMs and PREMs implementation according to healthcare professional and patient organizations.

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Background: Producing relevant knowledge on the prevalence of mood disorders (MDs) requires a clear identification of people living with the condition. Analyzing this multifaceted disease from the perspective of health administrative data and population-based surveys could contribute to document inconsistencies between these data sources and highlight the strengths and limitations of each methodological approaches.

Objectives: The aim of this study was to estimate the prevalence of MD disease, assess concordance of MD patterns in population-based surveys versus health administrative data, and investigate statistical differences in characteristics between individuals presenting the disease in each data sources.

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Background: Telemonitoring for COVID-19 has gained much attention due to its potential in reducing morbidity, healthcare utilization, and costs. However, its benefit with regard to economic outcomes has yet to be clearly demonstrated.

Objective: To analyze the costs associated with the use of the Opal portal to monitor COVID-19 patients during their 14-day confinement in Quebec and compare them to those of non-users of any home telemonitoring technology.

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Objective: To empirically compare four preference elicitation approaches, the discrete choice experiment with time (DCE), the Best-Worst Scaling with time (BWS), DCE with BWS (DCE), and the Standard Gamble (SG) method, in valuing health states using the SF-6Dv2.

Methods: A representative sample of the general population in Quebec, Canada, completed 6 SG tasks or 13 DCE (i.e.

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Severe burn injuries (SBIs) are known to pose a significant burden on patients, caregivers, and the healthcare system. Yet, scarce data on the short and long-term clinical and economic impacts of these injuries limit the development of evidence-informed strategies and policies to better care for these patients. To fill in this gap, we adapted a previously validated self-reported out-of-pocket cost measurement questionnaire, the Cost for Patients Questionnaire (CoPaQ), to the severe burn injury survivor context.

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Background: The 13-MD is a new generic instrument developed to measure general health-related quality of life (GHRQoL). This instrument considers all aspects of health (i.e.

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Objective: to assess the feasibility of a new stated preference approach, the multiple bounded dichotomous choice (MBDC), designed to generate value sets for preference-based measurement of health-related quality of life.

Methods: MBDC and standard gamble (SG) tasks were completed to derive SF-6Dv2 value sets from a sample of the general population in Quebec, Canada. Participants were randomized between the two approaches: 6 health states were evaluated in SG and 11 health states in MBDC.

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Objectives: The aims of this study were to elicit preferences about the coronavirus disease 2019 (COVID-19) vaccine campaign in the general French-speaking adult Quebec population and to highlight the characteristics of the vaccine campaign that were of major importance.

Methods: A discrete-choice experiment (DCE) was conducted between April and June 2021, in Quebec, Canada. A quota sampling method by age, gender and educational level was used to achieve a representative sample of the French-speaking adult population.

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Quality of life at work is an important and widely discussed concept in the literature. Several instruments can be used to measure it, but with regard to healthcare and social services, the existing instruments are not well known. A review of available instruments intending to capture the quality of life of healthcare and social services workers (QoLHSSW) is necessary to better assess their working conditions and promote programs/guidelines to improve these conditions.

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A considerable debate persists in the literature about whose preferences should be considered in the calculation of quality-adjusted life-years. Some suggest considering only the preferences of the general population, while others advocate for the consideration of those of patients or a combination of both. This study aims to inform and measure the differences in health preferences between cancer patients and the general population in Quebec.

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Background: Because health resources are limited, health programs should be compared to allow the most efficient ones to emerge. To that aim, health utility instruments have been developed to allow the calculation of quality-adjusted life-year (QALY). However, generic instruments, which can be used by any individual regardless of their health profile, typically consider the preferences of the general population when developing their value set.

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Background: The second version of the Short-Form 6-Dimension (SF-6Dv2) classification system has recently been developed. The objective of this study was to develop a value set for SF-6Dv2 based on the societal preferences of a general population in the capital of Iran.

Methods: A representative sample of the capital of Iran (n = 3061) was recruited using a stratified multistage quota sampling technique.

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