Nevin Manimala Statistics

Exploration of how primary care models influence job satisfaction among primary care providers during the COVID-19 pandemic in New Brunswick: a descriptive and comparative study

BMC Health Serv Res. 2023 Mar 7;23(1):223. doi: 10.1186/s12913-023-09211-2.


BACKGROUND: The COVID-19 pandemic has highlighted human resource gaps and physician shortages in healthcare systems in New Brunswick (NB), as evidenced by multiple healthcare service interruptions. In addition, the New Brunswick Health Council gathered data from citizens on the type of primary care models (i.e. physicians in solo practice, physicians in collaborative practice, and collaborative practice with physicians and nurse practitioners) they use as their usual place of care. To add to their survey’s findings, our study aims to see how these different primary care models were associated with job satisfaction as reported by primary care providers.

METHODS: In total, 120 primary care providers responded to an online survey about their primary care models and job satisfaction levels. We used IBM’s “SPSS Statistics” software to run Chi-square and Fisher’s exact tests to compare job satisfaction levels between variable groups to determine if there were statistically significant variations.

RESULTS: Overall, 77% of participants declared being satisfied at work. The reported job satisfaction levels did not appear to be influenced by the primary care model. Participants reported similar job satisfaction levels regardless of if they practiced alone or in collaboration. Although 50% of primary care providers reported having symptoms of burnout and experienced a decline in job satisfaction during the COVID-19 pandemic, the primary care model was not associated with these experiences. Therefore, participants who reported burnout or a decline in job satisfaction were similar in all primary care models. Our study’s results suggest that the autonomy to choose a preferred model was important, since 45.8% of participants reported choosing their primary care models, based on preference. Proximity to family and friends and balancing work and family emerged as critical factors that influence choosing a job and staying in that job.

CONCLUSION: Primary care providers’ staffing recruitment and retention strategies should include the factors reported as determinants in our study. Primary care models do not appear to influence job satisfaction levels, although having the autonomy to choose a preferred model was reported as highly important. Consequently, it may be counterproductive to impose specific primary care models if one aims to prioritize primary care providers’ job satisfaction and wellness.

PMID:36882756 | DOI:10.1186/s12913-023-09211-2

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