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Nurse Satisfaction and Retention: Understanding Factors Influencing Bedside Stay

Explore the reasons why nurses might leave the bedside within a year, considering turnover ratios, satisfaction surveys, advancement opportunities, autonomy, interactions, and retention bonuses. Evaluate likelihood ratios and probabilities to predict the likelihood of nurse retention. Review the correlation graph and assumptions to improve the model's accuracy based on objective data.

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Nurse Satisfaction and Retention: Understanding Factors Influencing Bedside Stay

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  1. RN Leaving/Staying at Bedside HSCI 730 SPRING 2005 J Y

  2. Why Are Nurses Leaving? Frustrated with stress

  3. Instructor: Great topic. I can see this useful in many circumstances Target Event Leaving the bedside nursing 1 year from now

  4. Instructor: I think RN satisfaction depends on many of the factors you have listed here and therefore assumption of independence is violated Review of Clues 1. RN turnover ratios for year 2004 2. Vacancy Rates for year 2004 3. RN satisfaction Survey scores 4. RN Advancement and career opportunities 5. Autonomy 6. RN to RN daily interactions 7. Retention bonus

  5. Instructor: Clue levels are not mutually exclusive and exhaustive. Should be revised. Clue levels

  6. Instructor: Should also look at clues that decrease the probability of nurse leaving

  7. Modeling uncertainty & Scenarios

  8. Instructor: Should explore why this point is so far off. Correlation Graph

  9. Instructor: Assumes conditional independence. But independence was not verified. Forecast Likelihood ratio: RN satisfaction = 3 RN to RN Interaction = 2.5 Autonomy = 3.5 Professional Development = 2 Odds of leaving = 3x2.5X3.5X2 = 11.00 Probability of leaving beside nursing = 11.00/(1+11.00) = 92%

  10. Instructor: It might be useful to compare the model against objective data as I am not sure about a series of assumptions made in this analysis Evaluation Positive correlation indicates a good model

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