Impact of Program Components on Perceived Organizational Support in Respiratory Care Education

BACKGROUND

Perceived organizational support has been linked to employee commitment and job satisfaction. Understanding the effects of perceived organizational support on employees allows leaders to improve employees' performance and the success of their organizations. The purpose of this study was to identify the perceived organizational support across different respiratory care education programs in the United States.

METHODS

All chairs and program directors of bachelor's of science and master's of science degree respiratory care education programs in the United States were surveyed (N = 97). The Survey of Perceived Organizational Support was modified after written approval, and the final instrument included 31 items with a Likert scale (1 = strongly disagree, 7 = strongly agree). Descriptive statistics, multiple regression, and topic modeling were used for data analysis (P < .05).

RESULTS

A total of 67 respondents responded to the perceived organizational support survey; a 69% response rate. They were satisfied with their job and committed to their institutions. They also reported that faculty salaries were equitable relative to the national average, and their institutions encouraged teamwork among faculty. The respondents' titles, total years of administrative experience, students' scores on the national credentialing therapist multiple choice examination (TMC), and institutions that offer both bachelor's of science and master's of science degree programs had a direct relationship with perceived organizational support in respiratory care education programs. Age and sex were inversely related to perceived organizational support. A topic modeling analysis based on the respondents' opinions about perceived organizational support showed that the respondents frequently mentioned the words support, institution, budget, year, nursing, and experience. The respondents emphasized the importance of support, institution marketing, their years of experience, and the program budget. They also mentioned that nursing programs overshadowed respiratory care education programs at their institutions.

CONCLUSIONS

Age, sex, job title, years of administrative experience, students' TMC scores, and the type of programs offered impacted perceived organizational support by respiratory care directors. Student-, program- and participant-related factors can be used to improve perceived organizational support in respiratory care education.

The Relationship Between Long Working Hours and Stress Responses in Junior High School Teachers: A Nationwide Survey in Japan

Background: Long working hours and mental health problems among teachers are a concern in Japan. More specifically, it has been reported that junior high school teachers tend to work overtime. In this study, examined the working hours of junior high school teachers in public schools and investigated the association between overtime work and stress responses across job titles.

Methods: From June to December 2018, 54,772 teachers in public junior high schools completed a web-based nationwide survey regarding occupational stress and submitted self-evaluated working hours per day of the previous month. Psychological and physical stress responses were assessed using the Brief Job Stress Questionnaire.

Results: Results showed that 59.6% of the participants worked 11 h or more per day. Additionally, the length of working hours significantly differed across job titles (χ² (30) = 5295.8, p < 0.001, Cramér’s V = 0.14). With respect to tenured teachers, sex (female), age, taking charge of the class, number of working years in the same school, working hours of 10 to 11 h, 11 to 12 h, 12 to 13 h, and 13 h or more were significantly associated with high stress, compared to those who worked less than 9 h per day. Moreover, for fixed-term teachers, sex (female), age, working hours of 9 to 10 h, 10 to 11 h, 11 to 12 h, 12 to 13 h, and 13 h or more were related with more stress as compared to those who worked less than 9 h per day. On the other hand, there was no significant relationship between long working hours and stress response among vice-principals, even though they tended to work the longest hours.

Conclusion: We verified that Japanese junior high school teachers work long hours. Long working hours were associated with stress responses in both tenured and fixed-term teachers, but not in vice-principals. However, vice-principals work the longest hours among teachers, and we suggest that these long working hours may be a hidden problem that is often overlooked.

Occupation Coding of Job Titles: Iterative Development of an Automated Coding Algorithm for the Canadian National Occupation Classification (ACA-NOC)

Background

In many research studies, the identification of social determinants is an important activity, in particular, information about occupations is frequently added to existing patient data. Such information is usually solicited during interviews with open-ended questions such as “What is your job?” and “What industry sector do you work in?” Before being able to use this information for further analysis, the responses need to be categorized using a coding system, such as the Canadian National Occupational Classification (NOC). Manual coding is the usual method, which is a time-consuming and error-prone activity, suitable for automation.

Objective

This study aims to facilitate automated coding by introducing a rigorous algorithm that will be able to identify the NOC (2016) codes using only job title and industry information as input. Using manually coded data sets, we sought to benchmark and iteratively improve the performance of the algorithm.

Methods

We developed the ACA-NOC algorithm based on the NOC (2016), which allowed users to match NOC codes with job and industry titles. We employed several different search strategies in the ACA-NOC algorithm to find the best match, including exact search, minor exact search, like search, near (same order) search, near (different order) search, any search, and weak match search. In addition, a filtering step based on the hierarchical structure of the NOC data was applied to the algorithm to select the best matching codes.

Results

The ACA-NOC was applied to over 500 manually coded job and industry titles. The accuracy rate at the four-digit NOC code level was 58.7% (332/566) and improved when broader job categories were considered (65.0% at the three-digit NOC code level, 72.3% at the two-digit NOC code level, and 81.6% at the one-digit NOC code level).

Conclusions

The ACA-NOC is a rigorous algorithm for automatically coding the Canadian NOC system and has been evaluated using real-world data. It allows researchers to code moderate-sized data sets with occupation in a timely and cost-efficient manner such that further analytics are possible. Initial assessments indicate that it has state-of-the-art performance and is readily extensible upon further benchmarking on larger data sets.

Occupational status and hospitalisation for mental disorders: findings from Friuli Venezia Giulia region, Italy, 2008-2017

Purpose: To investigate to which extent occupational status, and job titles, were associated with types of hospitalisations and psychiatric diagnoses among inpatients of Friuli Venezia Giulia Region, Italy.Methods: Cross-sectional study based on 10 years register data (2008-2017) on 2929 subjects hospitalised in General Hospital Psychiatric Units. Odds ratios (OR) of hospitalisations and psychiatric diagnoses for occupational status and job titles were calculated by logistic regression analysis.Results: Employed were at lower risk of urgent and involuntary hospitalisation. The risk of urgent hospitalisation was higher for affective, organic or other disorders, while all psychiatric diagnoses were at lower risk of involuntary hospitalisation than psychosis. Using white collars as reference category, army showed a higher risk for urgent hospitalisation (OR = 2.3) and affective disorders (OR = 1.9). A higher risk for affective disorders was found in managers (OR = 2.0). Blue collars were at higher risk for alcohol and substance abuse (OR = 1.7).Conclusions: Employment was protective for urgent and involuntary hospitalisations and severe diagnoses. Hospitalisation for affective disorders was more likely in managers, army, and for substances abuse in blue collars. More research is needed to assess the association between specific occupational groups and involuntary hospitalisation.KeypointsEmployment was shown to be a protective factor for both urgent and involuntary hospitalisations and diagnosis of severe mental disorder.Managers, police and military forces were at higher risk of being hospitalised for affective disorders, while blue collars were at higher risk of hospitalisation for alcohol and substances abuse.Future research would benefit from a better analysis on the association between more specific occupational groups and hospitalisation for psychiatric disorders, with a particular focus on involuntary treatment.Further research is needed to compare the risk of hospitalisation for mental disorders in temporary or permanent position, according to recent international changes in labour market and its impact on mental health.