Advanced practice providers (APPs) are being employed at increasing rates in order to meet new in-hospital care demands. Utilising the Paediatric Acute Care Cardiology Collaborative (PAC3) hospital survey, we evaluated variations in staffing models regarding first-line providers and assessed associations with programme volume, acuity of care, and post-operative length of stay (LOS).

The PAC3 hospital survey defined staffing models and resource availability across member institutions. A resource acuity score was derived for each participating acute care cardiology unit. Surgical volume was obtained from The Society of Thoracic Surgeons database. Pearson’s correlation coefficients were used to evaluate the relationship between staffing models and centre volume as well as unit acuity. A previously developed case-mix adjustment model for total post-operative LOS was utilised in a multinomial regression model to evaluate the association of APP patient coverage with observed-to-expected post-operative LOS.

Surveys were completed by 31 (91%) PAC3 centres in 2017. Nearly all centres (94%) employ APPs, with a mean of 1.7 (range 0–5) APPs present on weekday rounds. The number of APPs present has a positive correlation with surgical volume (r = 0.49, p < 0.01) and increased acuity (r = 0.39, p = 0.03). In the multivariate model, as coverage by APPs increased from low to moderate or high, there was greater likelihood of having a shorter-than-expected post-operative LOS (p < 0.001).

The incorporation of paediatric acute care cardiology APPs is associated with reduced post-operative LOS. Future studies are necessary to understand how APPs impact these patient-specific outcomes.

Over the past few decades, new care models that are more resident-oriented and directed toward small-scale and homelike environments have been developed worldwide. The impact of these care models on the quality of life of residents has been studied. However, little research has been conducted to gain insight into how these new care models influence healthcare staff's work environment. This study focuses on the consequences of small-scale care on staff's perceived job characteristics.

Data were derived from a sample of 136 Dutch living arrangements providing nursing home care for people with dementia (2008/2009), in which 1,327 residents and 1,147 staff participated. The relationship between two indicators of small-scale care (small-scale care characteristics and total number of residents with dementia in facility) and staff's job characteristics (job demands, decision authority, coworker and supervisor support) were studied with multilevel regression analyses. All analyses were adjusted for staff, resident, and living arrangement characteristics when needed.

Both indicators of small-scale care were associated with job demands; staff perceived less time and work pressure as more characteristics of small-scale care were integrated and the facility had less residents with dementia in total. Only one indicator was associated with decision authority. As more characteristics of small-scale care were integrated, staff's perceived decision authority was higher. No relationship was found with coworker and supervisor social support.

Knowing that job demands and decision authority are important predictors of job appraisal and well-being, our findings show that small-scale care could have a beneficial impact on healthcare staff's work environment.