Adaptation and factor structure of three psychometric instruments measuring behavioral aspects of medication prescribing in physician assistants

(1) Present the factor structure of two psychometric instruments for self-efficacy and one for outcome expectations of medication prescribing; (2) evaluate the reliability of the scales, and (3) present preliminary evidence of validity. Physician assistants (PA) and PA students completed a survey ev...

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Veröffentlicht in:Research in social and administrative pharmacy 2023-01, Vol.19 (1), p.69-74
Hauptverfasser: Gillette, Chris, Ip, Edward H., Perry, Courtney J., Ferreri, Stefanie P., Bell Sisson, Caroline Grey, Bodner, Gayle B., Rogers, Samantha D., Manges, Kirstin, Jones, Caitlin E., Rose, Tiffany H., Lindaman, Kristin, Ludwig, Nicole, Crandall, Sonia
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container_end_page 74
container_issue 1
container_start_page 69
container_title Research in social and administrative pharmacy
container_volume 19
creator Gillette, Chris
Ip, Edward H.
Perry, Courtney J.
Ferreri, Stefanie P.
Bell Sisson, Caroline Grey
Bodner, Gayle B.
Rogers, Samantha D.
Manges, Kirstin
Jones, Caitlin E.
Rose, Tiffany H.
Lindaman, Kristin
Ludwig, Nicole
Crandall, Sonia
description (1) Present the factor structure of two psychometric instruments for self-efficacy and one for outcome expectations of medication prescribing; (2) evaluate the reliability of the scales, and (3) present preliminary evidence of validity. Physician assistants (PA) and PA students completed a survey evaluating three psychometric instruments: (1) Self-Efficacy in Prescribing (SEP), (2) Self-Efficacy in Prescribing-Geriatric (SEPG), and (3) Outcomes Expectations of Prescribing Errors (OEP). Students also evaluated 3 hypothetical prescriptions, two of which contained a prescribing error. Students were instructed to identify (1) if an error occurred and (2) what type of error. The data were analyzed using parallel analysis with a varimax rotation, Cronbach's α, Pearson and Spearman correlations. One hundred eighty five (n = 185) respondents completed the survey (response rate = 63.8%). The parallel analysis found that the SEP had one 7-item factor with α = 0.94 (M = 5.7 (SD = 1.9) out of 10). The SEPG also had one 7-item factor with α = 0.95 (M = 5.5 (1.9). The OEP had one 6-item factor with α = 0.89 (M = 3.5 (SD = 0.8) out of 5). The SEP and SEPG, were correlated to the OEP each other (both p 
doi_str_mv 10.1016/j.sapharm.2022.09.006
format Article
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Physician assistants (PA) and PA students completed a survey evaluating three psychometric instruments: (1) Self-Efficacy in Prescribing (SEP), (2) Self-Efficacy in Prescribing-Geriatric (SEPG), and (3) Outcomes Expectations of Prescribing Errors (OEP). Students also evaluated 3 hypothetical prescriptions, two of which contained a prescribing error. Students were instructed to identify (1) if an error occurred and (2) what type of error. The data were analyzed using parallel analysis with a varimax rotation, Cronbach's α, Pearson and Spearman correlations. One hundred eighty five (n = 185) respondents completed the survey (response rate = 63.8%). The parallel analysis found that the SEP had one 7-item factor with α = 0.94 (M = 5.7 (SD = 1.9) out of 10). The SEPG also had one 7-item factor with α = 0.95 (M = 5.5 (1.9). The OEP had one 6-item factor with α = 0.89 (M = 3.5 (SD = 0.8) out of 5). The SEP and SEPG, were correlated to the OEP each other (both p &lt; 0.01). Actively practicing PAs had the highest composite mean SEP and SEPG scores. First-year PA students had the highest mean scores for the OEP. There was a weak association between the mean SEPG score and the number of correctly identified prescriptions (rs = 0.18, p = 0.04). The SEP, SEPG, and OEP show preliminary evidence of reliability and structural, construct, and known-group validities using simulated prescriptions. 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Physician assistants (PA) and PA students completed a survey evaluating three psychometric instruments: (1) Self-Efficacy in Prescribing (SEP), (2) Self-Efficacy in Prescribing-Geriatric (SEPG), and (3) Outcomes Expectations of Prescribing Errors (OEP). Students also evaluated 3 hypothetical prescriptions, two of which contained a prescribing error. Students were instructed to identify (1) if an error occurred and (2) what type of error. The data were analyzed using parallel analysis with a varimax rotation, Cronbach's α, Pearson and Spearman correlations. One hundred eighty five (n = 185) respondents completed the survey (response rate = 63.8%). The parallel analysis found that the SEP had one 7-item factor with α = 0.94 (M = 5.7 (SD = 1.9) out of 10). The SEPG also had one 7-item factor with α = 0.95 (M = 5.5 (1.9). The OEP had one 6-item factor with α = 0.89 (M = 3.5 (SD = 0.8) out of 5). The SEP and SEPG, were correlated to the OEP each other (both p &lt; 0.01). Actively practicing PAs had the highest composite mean SEP and SEPG scores. First-year PA students had the highest mean scores for the OEP. There was a weak association between the mean SEPG score and the number of correctly identified prescriptions (rs = 0.18, p = 0.04). The SEP, SEPG, and OEP show preliminary evidence of reliability and structural, construct, and known-group validities using simulated prescriptions. 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(2) evaluate the reliability of the scales, and (3) present preliminary evidence of validity. Physician assistants (PA) and PA students completed a survey evaluating three psychometric instruments: (1) Self-Efficacy in Prescribing (SEP), (2) Self-Efficacy in Prescribing-Geriatric (SEPG), and (3) Outcomes Expectations of Prescribing Errors (OEP). Students also evaluated 3 hypothetical prescriptions, two of which contained a prescribing error. Students were instructed to identify (1) if an error occurred and (2) what type of error. The data were analyzed using parallel analysis with a varimax rotation, Cronbach's α, Pearson and Spearman correlations. One hundred eighty five (n = 185) respondents completed the survey (response rate = 63.8%). The parallel analysis found that the SEP had one 7-item factor with α = 0.94 (M = 5.7 (SD = 1.9) out of 10). The SEPG also had one 7-item factor with α = 0.95 (M = 5.5 (1.9). The OEP had one 6-item factor with α = 0.89 (M = 3.5 (SD = 0.8) out of 5). The SEP and SEPG, were correlated to the OEP each other (both p &lt; 0.01). Actively practicing PAs had the highest composite mean SEP and SEPG scores. First-year PA students had the highest mean scores for the OEP. There was a weak association between the mean SEPG score and the number of correctly identified prescriptions (rs = 0.18, p = 0.04). The SEP, SEPG, and OEP show preliminary evidence of reliability and structural, construct, and known-group validities using simulated prescriptions. These tools may be able to be used by educators and implementation scientists as one method to show the effectiveness of future interventions to reduce incidence of prescribing errors.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>36153236</pmid><doi>10.1016/j.sapharm.2022.09.006</doi><tpages>6</tpages></addata></record>
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subjects Aged
Drug Prescriptions
Humans
Medication errors
Physician Assistants
Psychometrics
Reproducibility of Results
Surveys and Questionnaires
title Adaptation and factor structure of three psychometric instruments measuring behavioral aspects of medication prescribing in physician assistants
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