"Good Care Is Slow Enough to Be Able to Pay Attention": Primary Care Time Scarcity and Patient Safety.

BACKGROUND: There is growing, widespread recognition that expectations of US primary care vastly exceed the time and resources allocated to it. Little research has directly examined how time scarcity contributes to harm or patient safety incidents not readily capturable by population-based quality metrics. OBJECTIVE: To examine near-miss events identified by primary care physicians in which taking additional time improved patient care or prevented harm. DESIGN: Qualitative study based on semi-structured interviews. PARTICIPANTS: Twenty-five primary care physicians practicing in the USA. APPROACH: Participants completed a survey that included demographic questions, the Ballard Organizational Temporality Scale and the Mini-Z scale, followed by a one hour qualitative interview over video-conference (Zoom). Iterative thematic qualitative data analysis was conducted. KEY RESULTS: Primary care physicians identified several types of near-miss events in which taking extra time during visits changed their clinical management. These were evident in five types of patient care episodes: high-risk social situations, high-risk medication regimens requiring patient education, high acuity conditions requiring immediate workup or treatment, interactions of physical and mental health, and investigating more subtle clinical suspicions. These near-miss events highlight the ways in which unreasonably large patient panels and packed schedules impede adequate responses to patient care episodes that are time sensitive and intensive or require flexibility. CONCLUSIONS: Primary care physicians identify and address patient safety issues and high-risk situations by spending more time than allotted for a given patient encounter. Current quality metrics do not account for this critical aspect of primary care work. Current healthcare policy and organization create time scarcity. Interventions to address time scarcity and to measure its prevalence and implications for care quality and safety are urgently needed.

Primary Care Physicians' Experiences With and Adaptations to Time Constraints.

Importance: The primary care workforce shortage is significant and persistent, with organizational and policy leaders urgently seeking interventions to enhance retention and recruitment. Time constraints are a valuable focus for action; however, designing effective interventions requires deeper understanding of how time constraints shape employees' experiences and outcomes of work. Objective: To examine how time constraints affect primary care physicians' work experiences and careers. Design, Setting, and Participants: Between May 1, 2021, and September 31, 2022, US-based primary care physicians who trained in family or internal medicine were interviewed. Using qualitative analysis of in-depth interviews, this study examined how participants experience and adapt to time constraints during a typical clinic day, taking account of their professional and personal responsibilities. It also incorporates physicians' reflections on implications for their careers. Main Outcomes and Measures: Thematic analysis of in-depth interviews and a measure of well-being (American Medical Association Mini-Z survey). Results: Interviews with 25 primary care physicians (14 [56%] female and 11 [44%] male; median [range] age, 43 [34-63] years) practicing in 11 US states were analyzed. Two physicians owned their own practice, whereas the rest worked as employees. The participants represented a wide range of years in practice (range, 1 to ≥21), with 11 participants (44%) in their first 5 years. Physicians described that the structure of their work hours did not match the work that was expected of them. This structural mismatch between time allocation and work expectations created a constant experience of time scarcity. Physicians described having to make tradeoffs between maintaining high-quality patient care and having their work overflow into their personal lives. These experiences led to feelings of guilt, disillusionment, and dissatisfaction. To attempt to sustain long-term careers in primary care, many sought ways to see fewer patients. Conclusions and Relevance: These findings suggest that organizational leaders must align schedules with work expectations for primary care physicians to mitigate physicians' withdrawal from work as a coping mechanism. Specific strategies are needed to achieve this realignment, including incorporating more slack into schedules and establishing realistic work expectations for physicians.

Public Figure Vaccination Rhetoric and Vaccine Hesitancy: Retrospective Twitter Analysis.

Background: Social media has emerged as a critical mass communication tool, with both health information and misinformation now spread widely on the web. Prior to the COVID-19 pandemic, some public figures promulgated anti-vaccine attitudes, which spread widely on social media platforms. Although anti-vaccine sentiment has pervaded social media throughout the COVID-19 pandemic, it is unclear to what extent interest in public figures is generating anti-vaccine discourse. Objective: We examined Twitter messages that included anti-vaccination hashtags and mentions of public figures to assess the connection between interest in these individuals and the possible spread of anti-vaccine messages. Methods: We used a data set of COVID-19-related Twitter posts collected from the public streaming application programming interface from March to October 2020 and filtered it for anti-vaccination hashtags "antivaxxing," "antivaxx," "antivaxxers," "antivax," "anti-vaxxer," "discredit," "undermine," "confidence," and "immune." Next, we applied the Biterm Topic model (BTM) to output topic clusters associated with the entire corpus. Topic clusters were manually screened by examining the top 10 posts most highly correlated in each of the 20 clusters, from which we identified 5 clusters most relevant to public figures and vaccination attitudes. We extracted all messages from these clusters and conducted inductive content analysis to characterize the discourse. Results: Our keyword search yielded 118,971 Twitter posts after duplicates were removed, and subsequently, we applied BTM to parse these data into 20 clusters. After removing retweets, we manually screened the top 10 tweets associated with each cluster (200 messages) to identify clusters associated with public figures. Extraction of these clusters yielded 768 posts for inductive analysis. Most messages were either pro-vaccination (n=329, 43%) or neutral about vaccination (n=425, 55%), with only 2% (14/768) including anti-vaccination messages. Three main themes emerged: (1) anti-vaccination accusation, in which the message accused the public figure of holding anti-vaccination beliefs; (2) using "anti-vax" as an epithet; and (3) stating or implying the negative public health impact of anti-vaccination discourse. Conclusions: Most discussions surrounding public figures in common hashtags labelled as "anti-vax" did not reflect anti-vaccination beliefs. We observed that public figures with known anti-vaccination beliefs face scorn and ridicule on Twitter. Accusing public figures of anti-vaccination attitudes is a means of insulting and discrediting the public figure rather than discrediting vaccines. The majority of posts in our sample condemned public figures expressing anti-vax beliefs by undermining their influence, insulting them, or expressing concerns over public health ramifications. This points to a complex information ecosystem, where anti-vax sentiment may not reside in common anti-vax-related keywords or hashtags, necessitating further assessment of the influence that public figures have on this discourse.