DESIGNING A MODEL TO MEDICAL ERRORS PREDICTION FOR OUTPATIENTS VISITS ACCORDING TO RGANIZATIONAL COMMITMENT AND JOB INVOLVEMENT

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MIRHOSSEINI S.M.; NASIRIPOUR A.A.; TABIBI S.J.; RAEISSI P.; GHAFFARI F.

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Journal: TOLOO-E-BEHDASHT Year:2015 | Volume:14 | Issue:3 (51) Page(s): 111-122

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Title

DESIGNING A MODEL TO MEDICAL ERRORS PREDICTION FOR OUTPATIENTS VISITS ACCORDING TO RGANIZATIONAL COMMITMENT AND JOB INVOLVEMENT

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Keywords

MEDICAL ERRORSQ3

ORGANIZATIONAL COMMITMENTQ3

JOB INVOLVEMENTQ2

Abstract

Introduction: A wide ranges of variables effect on the MEDICAL ERRORS such as JOB INVOLVEMENT and ORGANIZATIONAL COMMITMENT. Coincidental relationship between two variables on MEDICAL ERRORS during outpatients’ visits has been investigated to design a model.Methods: A field study with 114 physicians during outpatients’ visits revealed the mean of MEDICAL ERRORS. Azimi and Allen-meyer questionnaires were used to measure JOB INVOLVEMENT and ORGANIZATIONAL COMMITMENT. Physicians divided into four groups according to the JOB INVOLVEMENT and ORGANIZATIONAL COMMITMENT in two dimensions (Zone1: high JOB INVOLVEMENT and high ORGANIZATIONAL COMMITMENT, Zone2: high JOB INVOLVEMENT and low ORGANIZATIONAL COMMITMENT, Zone3: low JOB INVOLVEMENT and high ORGANIZATIONAL COMMITMENT, Zone 4: low JOB INVOLVEMENT and low ORGANIZATIONAL COMMITMENT). ANOVA and Scheffe test were conducted to analyse the MEDICAL ERRORS in four Zones by SPSS22. A guideline was presented according to the relationship between errors and two other variables.Results: The mean of ORGANIZATIONAL COMMITMENT was 79.50±12.30 and JOB INVOLVEMENT 12.72±3.66, MEDICAL ERRORS in first group (0.32), second group (0.51), third group (0.41) and last one (0.50). ANOVA (F test=22.20, sig=0.00) and Scheffe were significant except for the second and forth group. The validity of the model was 73.60%.Conclusion: Applying some strategies to boost the ORGANIZATIONAL COMMITMENT and JOB INVOLVEMENT can help for diminishing the MEDICAL ERRORS during outpatients’ visits. Thus, the investigation to comprehend the factors contributing ORGANIZATIONAL COMMITMENT and JOB INVOLVEMENT can be helpful.

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APA: Copy

MIRHOSSEINI, S.M., NASIRIPOUR, A.A., TABIBI, S.J., RAEISSI, P., & GHAFFARI, F.. (2015). DESIGNING A MODEL TO MEDICAL ERRORS PREDICTION FOR OUTPATIENTS VISITS ACCORDING TO RGANIZATIONAL COMMITMENT AND JOB INVOLVEMENT. TOLOO-E-BEHDASHT, 14(3 (51)), 111-122. SID. https://sid.ir/paper/102899/en

Vancouver: Copy

MIRHOSSEINI S.M., NASIRIPOUR A.A., TABIBI S.J., RAEISSI P., GHAFFARI F.. DESIGNING A MODEL TO MEDICAL ERRORS PREDICTION FOR OUTPATIENTS VISITS ACCORDING TO RGANIZATIONAL COMMITMENT AND JOB INVOLVEMENT. TOLOO-E-BEHDASHT[Internet]. 2015;14(3 (51)):111-122. Available from: https://sid.ir/paper/102899/en

IEEE: Copy

S.M. MIRHOSSEINI, A.A. NASIRIPOUR, S.J. TABIBI, P. RAEISSI, and F. GHAFFARI, “DESIGNING A MODEL TO MEDICAL ERRORS PREDICTION FOR OUTPATIENTS VISITS ACCORDING TO RGANIZATIONAL COMMITMENT AND JOB INVOLVEMENT,” TOLOO-E-BEHDASHT, vol. 14, no. 3 (51), pp. 111–122, 2015, [Online]. Available: https://sid.ir/paper/102899/en

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