Study protocol: maintaining preventive care during public health emergencies through effective coordination

Screening lies at the heart of preventive care. However, COVID-19 dramatically disrupted routine screening efforts, resulting in excess mortality not directly attributable to COVID-19. Screening rates during COVID varied markedly by facility and clinical condition, suggesting susceptibilities in screening and referral process workflow. To better understand these susceptibilities and identify new practices to mitigate interrupted care, we propose a qualitative study comparing facilities that exhibited high, low, and highly variable performance (respectively) in screening rates before and during the pandemic. We will be guided by Weaver et al.'s multi-team systems (MTS) model of coordination, using cancer and mental health screening rates as exemplars.

Qualitative analysis of interviews and focus groups with primary care personnel, leadership, and patients at 10 VA medical centers. We will select sites based on rurality, COVID-19 caseload at the beginning of the pandemic, and performance on five outpatient clinical performance indicators of cancer and mental health screening. Sites will be categorized into one of five screening performance groups: high performers, low performers, improvers, plummeters, and highly variable. We will create process maps for each performance measure to create a workflow baseline and then interview primary care leadership to update the map at each site. We will clinician conduct focus groups to elicit themes regarding clinician coordination patterns (e.g., handoffs), strategies, and barriers/facilitators to screening during COVID. We will also conduct patient interviews to examine their screening experience during this period, for context. All interviews and focus groups will be audio-recorded, transcribed, and enhanced by field notes. We will analyze clinician transcripts and field notes using iterative, rapid analysis. Patient interviews will be analyzed using inductive/deductive content analysis.

Our study represents a unique opportunity to inform the multi-team systems literature by identifying specific forms of information exchange, collective problem solving, and decision-making associated with higher and improved clinical performance. Specifically, our study aims to detect the specific points in the screening and referral process most susceptible to disruption and coordination processes that, if changed, will yield the highest value. Findings apply to future pandemics or any event with the potential to disrupt care.