Data sources
Data used in this paper were retrieved from Cohort Study of Medical Graduates with Compulsory Services in Rural Areas Studies, funded by China Medical Board (CMB). The survey is approved by the institutional review board (IRB) at Peking University Health Science Center (IRB00001052-15027). The study was launched in 2015 and has established five cohorts in five years of medical graduates. The cohorts have been defined by their year of graduation. We collected baseline data before students graduate and follow-up data every year after their graduation. Till now, we have collected follow-up data in 2016, 2017, 2018, and 2020. Jiangxi, Qinghai and Guangxi provinces were chosen from western and central China, representing middle- and low-level economic regions. The survey included 3620 medical graduates from Medical college of Qinghai University (Qinghai province), Jiujiang University (Jiangxi province), Gannan Medical University (Jiangxi province), and Guangxi Medical Universities (Guangxi Zhuang autonomous region). The location of three provinces and four universities in China is presented in Figure 1, with the initial cohort size.
There are two types of medical graduates in this study, those who are required to practice in rural and remote areas after graduation (Compulsory services program, CSP) as the intervention group, and common medical graduates (non-compulsory services program, NCSP) as the comparison group. We collected information on demographic characteristics, employment, postgraduate study, residency training and job-related information for the two types of graduates.
Methods of measurement
Pass rate of National Medical Licensing Examinations (NMLE)
In China, the NMLE has been implemented for 20 years since the 1999 Law on Practicing Doctors [30]. The NMLE is sponsored by China National Medical Examination Center, an affiliated institution of National Health Commission. All practicing doctors in China must pass the NMLE before they can register as a licensed doctor or a licensed assistant doctor in order to practice legally. The NMLE includes clinical skill test and general medical knowledge test, which can well reflect candidates’ professional competency [31]. We adopted the pass rate of NMLE as an objective indicator of CSP graduates’ job performance, and compared with that of NCSP graduates.
Job performance scale
Conceptual grounds for job performance can be found in well-established theories of human capital and psychology [32]. Job performance was defined as the “aggregated value to the organization of discrete behavior episodes that an individual performs over a standard interval of time” [33]. To our knowledge, job performance is generally measured from two dimensions, including task performance and contextual performance. Measuring job performance by scale has been proved reliable and consistent compared with results from that measured by objective indicators [34]. Most scales were designed from task and contextual dimensions before. However, learning capability for employees has been attached to more importance in job performance studies, and recent scales have included this dimension [35, 36]. The scale we adopted included measurements of all three dimensions of job performance [37]. This scale was based upon widely-used international job performance scale and revised in adaptation to Chinese context. It has been used in studies on rural health workers and GPs’ job performance and has proved valid cultural adaptation [38-40].
The self-reported job performance scale included three dimensions and 12 items (task performance: 4 items; contextual performance: 5 items; learning performance: 3 items). The definition for each dimension is presented in Table 1. The items are rated on a 7-point Likert scale of how often the behavior or feeling, or attitude has been manifested: 1=never, 2=a few times a year or less, 3=once a month, 4=a few times a year, and 5=once a week, 6=a few times a week; 7=every day. The total score ranges from 1 (lowest job performance) to 84 (highest job performance). One’s total job performance score was obtained by adding the scores of each item. Score for each dimension was also calculated. The alpha internal consistency coefficient of reliability was 0.89 in this study, indicating that the items were highly internally consistent. The validity was examined through incremental fit index (IFI) and showed good validity [37].
Table 1
Dimensions, definitions, and reliability of the job performance scale
Dimensions
|
Definition
|
Cronbach’s α
|
Cronbach’s α in literature
|
Task performance
|
Related to work output and directly serving organizational goals,reflected in work quality, efficiency, ability and input
|
0.947
|
0.805
|
Learning performance
|
The process that individuals form learning plans and apply new knowledge and skills to the changing organizational environment, including learning desires, behavior and result application
|
0.954
|
0.842
|
Contextual performance
|
Indirect assistance to the realization of organizational goals, efforts to improve the harmony of working environment, including assisting colleagues, abiding by rules, extra efforts, personal self-discipline, supporting organizational goals, etc.
|
0.936
|
0.714
|
Total
|
-
|
0.897
|
-
|
Statistical analysis
Descriptive analysis was used to identify characteristics of the sample. Percentages were calculated for qualitative data, and means and standard deviations (SD) for quantitative data. For pass rate of NMLE, Chi-square test was used to compare the differences between CSP and NCSP graduates. For job performance scale, we determined the total scores of job performance scale for CSP and NCSP graduates separately by different demographic and job-related variables. One-way analysis of variance (ANOVA) was used to examine the differences among these characteristics. The P-value below 0.05 was considered statistically significantly.
The job-related factors, including obtaining officially budgeted posts (which means these are tenure positions with full salary support, secured pensions and other benefits from government budget, and are considered as formal employees of Chinese public sectors) becoming attending physicians, working in hometown district, all showed significant difference for CSP graduates in ANOVA, so we further fitted multivariable linear regression models to explore the association between the design of the program and job performance for CSP graduates. Total job performance scores were used as the dependent variable. We also conducted robustness check to verify our findings. Firstly, we used logarithm of total performance score for regression, with coefficients and standard errors reported. Secondly, a dichotomous indicator of job performance variable was used for logistic regression (those obtaining 6 or 7 for each item with the total score being or above 72 were identified as high job performance and was coded as “1”, otherwise coded as “0”). Odds ratios (OR) and corresponding 95% confidence intervals (CI) were reported (see Appendix). Lastly, the three sub-dimensions of job performance, score of task, learning, and contextual performance were replaced as the dependent variables for regression (see Appendix). All statistical analyses were conducted in Stata 15.1 (Stata Corp LP, College Station).