Turnover intention of foreign trained physicians in German rehabilitation facilities-a quantitative study.

BACKGROUND: Germany's medical specialist shortage is an acute challenge, especially in the rehabilitation segment. One countermeasure is to recruit foreign trained physicians (FTP), but the high turnover of FTP is a burden on the departments that train them and integrate them professionally. Preliminary research showed that currently one in three physician positions in German Pension Insurance (DRV) contract facilities is filled by FTP.This paper examines factors related to turnover intention of FTP in German rehabilitative departments. METHODOLOGY: In spring 2022, we surveyed FTP across all inpatient and outpatient rehabilitation departments under the German Pension Insurance, using a two-stage cross-sectional approach. We conducted an online survey of FTP and developed a specialized questionnaire that captured sociodemographic, occupation related and professional biographical data, turnover intention, satisfaction, difficulties with professional integration and departmental structural characteristics. To analyze retention within the rehabilitation field, we used a measure of turnover intention, taking into account the direction of potential turnover, residency requirements and considerations of returning to the rehabilitation field. The data was evaluated in a subgroup analysis comparing FTP with and without turnover intention using Fisher's exact tests. RESULTS: The sample includes n = 145 FTP, 119 stating no turnover intention and 27 with turnover intention. More than half of FTP with turnover intention wished to move to an acute care hospital. FTP with turnover intention are comparatively younger and came to Germany and were employed in the rehabilitation departments more recently, indicating an earlier career stage. Besides, career-related and regional factors show the strongest relation to turnover intention. DISCUSSION AND CONCLUSION: The results reveal a group of "established FTP" whose professional integration has been successfully completed. FTP with turnover intention are comparatively younger, career-oriented physicians for whom work in a rehabilitative facility is a career springboard to gain a foothold in acute care clinics. A limitation is that FTP with turnover intention are difficult to reach and may be underrepresented in our sample.

Retention and turnover intention of foreign-trained physicians (FTPs): A scoping review.

BACKGROUND: In many high-income countries, there is a regional or indication-specific shortage of physicians. One way to alleviate these shortages is to recruit physicians from abroad. However, the high turnover rate of foreign-trained physicians (FTPs) makes it difficult to maintain stable medical care. The purpose of this scoping review was to analyze recent studies on turnover intentions and retention in order to, first, understand how they are assessed and, second, to identify the parameters that contribute to reducing turnover and improving the retention of FTPs. METHOD: A total of six articles were included, and a thematic analysis was conducted. The literature search was limited to English-language articles from bibliographic databases related to public health and health services research (MEDLINE, CINAHL, Web of Science, PsycINFO) between 2010 and 2022. RESULTS: The topis identified were: (1) the quality of working relationships, (2) the quality of the work environment, (3) personal life and migration issues, (4) employment-related issues, and (5) career and training opportunities. Three approaches were considered in examining the retention and turnover intentions of FTPs: satisfaction, motivation for migration, and professional integration. Underrepresented fields are discrimination and social integration. CONCLUSIONS: The processes of turnover intention and retention are still poorly understood. Standardizing definitions and certain parts of the methodology would help researchers navigate the process with more accuracy. Further studies should look at the causal relationships that can be collected in the form of qualitative data, as these are currently lacking.

Predicting non-response in patient-reported outcome measures: results from the Swiss quality assurance programme in cardiac inpatient rehabilitation.

BACKGROUND: Quality assurance programmes measure and compare certain health outcomes to ensure high-quality care in the health-care sector. The outcome of health-related quality of life is typically measured by patient-reported outcome measures (PROMs). However, certain patient groups are less likely to respond to PROMs than others. This non-response bias can potentially distort results in quality assurance programmes. OBJECTIVE: Our study aims to identify relevant predictors of non-response during assessment using the PROM MacNew Heart Disease questionnaire in cardiac rehabilitation. METHODS: This is a cross-sectional study based on data from the Swiss external quality assurance programme. All patients aged 18 years or older who underwent inpatient cardiac rehabilitation in 16 Swiss rehabilitation clinics between 2016 and 2019 were included. Patients' socio-demographic and basic medical data were analysed descriptively by comparing two groups: non-responders and responders. We used a random intercept logistic regression model to estimate the associations of patient characteristics and clinic differences with non-response. RESULTS: Of 24 572 patients, there were 33.3% non-responders and 66.7% responders. The mean age was 70 years, and 31.0% were women. The regression model showed that being female was associated with non-response [odds ratio (OR) 1.22; 95% confidence interval (CI) 1.14-1.30], as well as having no supplementary health insurance (OR 1.49; 95% CI 1.39-1.59). Each additional year of age increased the chance of non-response by an OR of 1.02 (95% CI 1.02-1.02). Not being a first language speaker of German, French or Italian increased the chance of non-response by an OR of 6.94 (95% CI 6.03-7.99). Patients admitted directly from acute care had a higher chance of non-response (OR 1.23; 95% CI 1.10-1.38), as well as patients being discharged back into acute care after rehabilitation (OR 3.89; 95% CI 3.00-5.04). Each point on the cumulative illness rating scale total score increased the chance of non-response by an OR of 1.05 (95% CI 1.04-1.05). Certain diagnoses also influenced the chance of non-response. Even after adjustment for known confounders, response rates differed substantially between the 16 clinics. CONCLUSION: We have found significant non-response bias among certain patient groups, as well as across different treatment facilities. Measures to improve response rates among patients with known barriers to participation, as well as among different treatment facilities, need to be considered, particularly when PROMs are being used for comparison of providers in quality assurance programmes or outcome evaluation.