Selecting the best nurses with Talogy Modules for Healthcare

Improve the quality of the nursing workforce with a predictive assessment

Challenge

 

A large American kidney care company engaged Talogy to help them improve the quality of their nursing workforce. Specifically, the project’s aim was to design, validate and implement a customised selection tool that could be used to hire employees into the nursing positions at the organisation’s locations. The primary objective of the project was to design, implement and maintain selection processes that screen out “risky” candidates and help the organisation to place qualified individuals into jobs in an accurate and fair manner.

Solution

 

A criterion-related validation was conducted across nine different nursing modalities. This study was conducted to customise and evaluate the performance of the selection process used for hiring Clinical Nurse positions.

Results

 

In this study, nursing incumbents from nine different nursing modalities completed the customised Talogy Modules for Healthcare (formerly known as NurseFit®) assessment. Supervisors provided job performance ratings on the same individuals.

Job performance
Job performance was rated on several domains: task performance, contextual performance and global performance. Task performance refers to performance on tasks specified in the job requirements, whereas contextual performance describes employees’ behaviours that are beneficial to the organisation but outside of established job responsibilities. Global ratings assess the supervisor’s overall impression of the individual. Overall performance is a combination of all these domains. In addition to performance ratings, supervisors were asked two additional questions regarding the incumbents’ overall job performance:

  • Knowing what you know now about this individual, how likely is it that you would hire him/her again?
  • How likely is it that this individual will leave the organisation in the next two years?

Predicting success

Customised scoring logic is used to place individuals into one of four recommendation categories based on their assessment scores: Poor Fit, Potential Fit, Good Fit, and Very Good Fit. The overall mean job performance ratings are shown across all four recommendation categories.

performance ratings by nursefit recommendation graph
Decoration

As shown, individuals who scored higher on the assessment were rated significantly higher on job performance compared to those individuals who scored lower. Higher assessment scores are associated with higher job performance ratings. Thus, we can conclude that candidates who score higher on the Talogy Modules for Healthcare assessment are more likely to perform better on the job.

We were also interested in examining how the assessment related to promotability. Supervisors were asked the likelihood of promotion for the incumbent in the next two years.

Generally, a rating of “Very Likely” to be promoted is indicative of an overall excellent job performance record. Of those individuals who passed the assessment, 14% were rated as “Very Likely” to be promoted, whereas of the individuals who failed the assessment, only 6% were rated as “Very Likely” to be promoted. As such, individuals who pass the customised profiles are twice as likely to be recommended for promotion compared to those who failed.

promotability graph
Decoration

Screening out the poor performers

One of the key aims of the assessment is to screen out the highest risk candidates. Of those individuals in the “worst job performance” group, nearly half (48%) would have been eliminated from contention for the position by the assessment. When asked “would you rehire this individual?” nearly every nurse who was rated as “Very Unlikely” to rehire, would have failed the assessment and never have been hired.

percent of poor performers by recommendation graph
Decoration

Summary

 

The customised Talogy Modules for Healthcare assessment is predictive of success for nurses in a variety of modalities across the organisation. Moreover, results indicate that the customised scoring will improve the quality of the hires by screening out the most unfavourable candidates. This assessment was tailored to accurately address the specific needs of the client and provide customised scoring logic to meet performance objectives for selecting the best nurse candidates.