Studying military and Veteran health using a life-course approach: Lessons learned from a Canadian record linkage study

Abstract: The Canadian Forces Cancer and Mortality Study (CFCAMS) is an example of a study that uses the life-course approach to research. This article provides an overview of CFCAMS challenges and solutions. Institutional challenges arise from the different mandates of the Department of National Defence and Veterans Affairs Canada. These challenges were addressed by collaboration with Statistics Canada. Data-driven challenges were addressed by data linkage in a secure environment at Statistics Canada. Budget-based challenges could be addressed only for topics that aligned with funded priorities. Human-resource-related challenges include recruitment and retention of experienced personnel, and addressing these challenges is an ongoing issue. These interconnected challenges can leave gaps that result in unrealized stakeholder expectations. Policy-relevant research must incorporate these expectations. Understanding the roles and structures required to generate life-course research can lead to increased influence on policy and practice. Introduction: For military personnel, the life course can consist of pre-military, military, transition, and post-military stages. An example of a life-course approach is the record-linkage Canadian Forces Cancer and Mortality Study (CFCAMS). This article provides an overview of CFCAMS challenges and solutions. Methods: Challenges are organized into four categories: institutional, data driven, budget based, and human resource related. Results: Institutional challenges arise from the different mandates of the Department of National Defence and Veterans Affairs Canada. These challenges were addressed by collaboration with Statistics Canada and endorsement of the life-course research questions by all three departments. Data-driven challenges arise from data collected disjointedly for different stages of the life course. These challenges were addressed by data linkage in a secure environment that respected privacy and confidentiality. Budget-based challenges arise from the financial costs of creating new datasets. These challenges were addressed for topics that aligned with funded priorities. Human-resource-related challenges include recruitment and retention of experienced personnel. These challenges are exacerbated by the complexity of the data linkage environment, and addressing them is an ongoing issue. Discussion: Any research agenda that uses a life-course approach could address many policy-relevant research questions, but this ability is constrained by several diverse, yet interconnected, challenges. Stakeholder expectations may be unrealized when the interrelationship between these challenges leaves unfilled gaps. Collaborative research can only be successfully conducted if challenges in all four categories are addressed. The CFCAMS experience provides an understanding of the roles and structures required to generate research results to influence policy and practice. 

Read the full article
Report a problem with this article

Related articles

  • More for Researchers

    Longitudinal predictors of alcohol use and problems during the COVID-19 pandemic in an at-risk Veteran sample

    Abstract: Background: Individuals with pre-existing heavy alcohol use, prior traumatic exposures, and psychiatric disorders were considered an at-risk group for increased alcohol use and problems in the context of the COVID-19 pandemic. Objective: This study recruited from a multi-centre longitudinal cohort study of US military service members/veterans with combat exposure to examine the trajectories of alcohol use and problems in the context of a prolonged stressor. Methods: Individuals who endorsed heavy drinking and completed a measure of PTSD symptoms prior to the pandemic were invited to participate in a longitudinal survey study at three time points, three months apart, during the second year of the pandemic. Participants (N=44) completed surveys assessing alcohol consumption and alcohol-related problems (via the AUDIT), PTSD symptoms (via the PCL-5), and infection mitigation behaviours (via a COVID-19 specific survey). Random intercept models were fitted to the longitudinal data for each of these outcomes, covarying for demographics, pandemic quarantine/physical distancing experience, pre-pandemic baseline alcohol consumption and PTSD symptoms, and time-varying alcohol consumption and alcohol-related problems as well as PTSD symptoms. Results: We did not find an increase in alcohol consumption or problems over time. However, pre-pandemic alcohol consumption predicted alcohol consumption over time (B=0.52, SE=0.11, p