Relational leadership study tracks psychological sense of community in healthcare participants
A prospective BMJ Leader study examined whether a relational leadership development program could influence psychological sense of community among healthcare participants enrolled in the Relational Leadership Institute. The work sits squarely in a workforce moment defined by dissatisfaction, burnout, and weakened belonging across health systems, where leadership style can shape whether staff feel connected to one another and to the institutions they serve.
The investigators used a single-arm longitudinal design, following participants over three survey points: baseline, immediately after the program, and six months later. A linear mixed-effects model with a random intercept for each participant was used to estimate within-person change over time. In practical terms, the design was intended to capture whether a relational leadership curriculum changed how participants experienced connection, membership, and shared purpose.
Baseline results already showed a measurable spread in community perception. Mean PSOC was 4.87 with a standard deviation of 0.68, and the score was higher among non-white participants than among white participants, 5.00 versus 4.83, with a p-value of 0.02.
Why psychological sense of community matters in healthcare teams
The choice of endpoint is clinically and operationally relevant. Psychological sense of community is not a decorative workforce metric; it reflects whether employees believe they belong, matter to others, and can rely on the group around them. In healthcare, where work is fragmented across shifts, units, and professional hierarchies, a weak sense of community can amplify isolation and accelerate attrition.
Relational leadership aims to counter that drift by shifting attention away from command-and-control habits and toward connection, trust, and mutual accountability. That approach is especially plausible in settings where burnout is not simply a matter of workload, but also of social disconnection. When staff experience a durable sense of community, collaboration often becomes easier to sustain, and the emotional cost of difficult clinical work can become more manageable.
This study placed that question into a structured longitudinal framework rather than leaving it at the level of theory. By measuring the same participants over time, the analysis was positioned to detect whether the institute’s curriculum translated into a change in how participants experienced their professional community.
The cohort began with moderate-to-high baseline community scores
The baseline mean of 4.87 suggests the group was not starting from a position of collapse. Even before the intervention, participants reported a fairly strong sense of community on average, which can make later change harder to detect if scores cluster near the upper end of the scale. In that setting, any post-program shift may be modest in absolute terms even if it is meaningful in daily practice.
The racial difference at baseline is one of the few concrete subgroup findings available in the provided text, and it deserves attention on its own. Non-white participants entered the program with a slightly higher mean PSOC than white participants, 5.00 compared with 4.83. The statistical signal was significant at p=0.02, suggesting that sense of community was not distributed evenly across racial groups at the outset.
Leadership interventions live or die on the social environment around them
A single-arm design cannot separate the effect of the program from broader organizational trends, seasonal changes, or the simple passage of time. Still, it can show whether participants shift in a direction that is consistent with the intervention’s intent. In a workforce where burnout and dissatisfaction are already common, even small gains in belonging may matter because they can influence retention, engagement, and willingness to remain in demanding roles.
The mixed-effects model is an appropriate analytic choice for repeated survey data because it accounts for individual-level differences and uses each participant as their own reference point. That matters in leadership research, where baseline attitudes vary widely depending on prior experience, role, and organizational culture. A random intercept helps preserve those individual differences instead of flattening them into a single average response.
The missing piece in the supplied text is the actual post-program trajectory. The methods make clear what the investigators planned to measure, and the baseline data already show a population with relatively high community scores and a racial difference at entry. The critical question is whether the program moved those scores further upward, held them steady, or failed to shift them in any durable way by six months.
What this design can and cannot answer
A relational leadership program may be most useful when it changes the daily texture of work: how people communicate, whether they feel respected, and whether their contributions are visible. Those effects often travel through culture rather than through a single dramatic endpoint, which is why a construct like psychological sense of community is a sensible target.
At the same time, the single-arm structure leaves several questions open. Without a comparison group, it is impossible to know whether any observed change would have occurred anyway. Without the full post-program numerical results, the magnitude and durability of effect cannot be judged from the available excerpt.
Even so, the study addresses an important workforce problem with a concrete measurement strategy. Healthcare systems routinely say they want more resilient teams; this kind of analysis asks whether leadership training can alter the social conditions that make resilience possible. The answer will depend on the unreported follow-up values, but the baseline data already suggest that sense of community is measurable, variable across groups, and worthy of closer attention in leadership research.