Developing and Validating a Patient Advocacy Engagement Scale for Health Professionals in Acute Care Hospitals
Methods. Development of the Patient-AES scale began with seven categories of problems identified by Jansson (2011): 1) failure to honor patients’ rights, 2) lack of quality care, 3) lack of culturally-competent care, 4) lack of preventive care, 5) lack of affordable care, 6) lack of attention to mental problems, and 7) lack of community-based care. The project obtained data from a sample of 100 nurses, 100 social workers, and 100 medical residents randomly drawn from rosters at eight acute-care hospital in Los Angeles County. The Patient-AES scale asked these respondents to rate their engagement on each of 33 specific manifestations of the seven core problems during the last two months on a Likert scale from “never” to “almost always.”
To establish content validity, a panel of experts reduced 117 original manifestations to 33. Item-level content validity index (CVI), subscale-level CVI and scale-level CVI, which reflect the proportion agreement among expert raters, was calculated. Exploratory factor analysis (EFA) followed by confirmatory factor analysis (CFA) for both an originally hypothesized seven-factor model and a six-factor model that emerged from EFA was conducted. Cronbach’s α was calculated to establish internal consistency reliability. To establish test-retest reliability, 50 healthcare professionals were recruited to complete the repeat questionnaire (they did so, on average, 41 days from their initial response). Pearson’s correlation coefficient r was calculated. The research team decided to name this scale the Patient Advocacy Engagement Scale (Patient-AES).
Results. Results of index, subscale, and scale-level CVI showed good to excellent content validity. Results of EFA resulted in a six-factor solution, which revealed a clear structure with each item loading substantially (>0.4) on only one factor. Altogether these six factors accounted for 67% of the variability of patient advocacy. A comparison of the model fit indexes resulting from the CFA from both the hypothesized seven-factor model and the six-factor model that resulted from the EFA indicated that both models fit the data equally well. Hence, CFA of the seven-factor model was selected. The test-retest Pearson correlation coefficient r for the entire scale was 0.81, demonstrating that the scale has very good test-retest reliability, and Cronbach’s α for the scale was 0.95, showing very good internal consistency reliability.
Conclusion. The PATIENT-AES should be useful in measuring patient advocacy engagement by social workers, nurses, and medical residents in acute-care hospitals. It does not measure the duration or effectiveness of these specific engagements. Some respondents may have over-reported their patient-advocacy engagements even though their identities, data, and hospitals are confidential.