BACKGROUND: Recent Breakthrough Series Collaboratives have focused on improving chronic illness care, but few have included academic practices, and none have specifically targeted residency education in parallel with improving clinical care. Tools are available for assessing progress with clinical improvements, but no similar instruments have been developed for monitoring educational improvements for chronic care education. AIM: To design a survey to assist teaching practices with identifying curricular gaps in chronic care education and monitor efforts to address those gaps. METHODS: During a national academic chronic care collaborative, we used an iterative method to develop and pilot test a survey instrument modeled after the Assessing Chronic Illness Care (ACIC). We implemented this instrument, the ACIC-Education, in a second collaborative and assessed the relationship of survey results with reported educational measures. PARTICIPANTS: A combined 57 self-selected teams from 37 teaching hospitals enrolled in one of two collaboratives. ANALYSIS: We used descriptive statistics to report mean ACIC-E scores and educational measurement results, and Pearson's test for correlation between the final ACIC-E score and reported educational measures. RESULTS: A total of 29 teams from the national collaborative and 15 teams from the second collaborative in California completed the final ACIC-E. The instrument measured progress on all sub-scales of the Chronic Care Model. Fourteen California teams (70%) reported using two to six education measures (mean 4.3). The relationship between the final survey results and the number of educational measures reported was weak (R(2) = 0.06, p = 0.376), but improved when a single outlier was removed (R(2) = 0.37, p = 0.022). CONCLUSIONS: The ACIC-E instrument proved feasible to complete. Participating teams, on average, recorded modest improvement in all areas measured by the instrument over the duration of the collaboratives. The relationship between the final ACIC-E score and the number of educational measures was weak. Further research on its utility and validity is required.
BACKGROUND: Recent Breakthrough Series Collaboratives have focused on improving chronic illness care, but few have included academic practices, and none have specifically targeted residency education in parallel with improving clinical care. Tools are available for assessing progress with clinical improvements, but no similar instruments have been developed for monitoring educational improvements for chronic care education. AIM: To design a survey to assist teaching practices with identifying curricular gaps in chronic care education and monitor efforts to address those gaps. METHODS: During a national academic chronic care collaborative, we used an iterative method to develop and pilot test a survey instrument modeled after the Assessing Chronic Illness Care (ACIC). We implemented this instrument, the ACIC-Education, in a second collaborative and assessed the relationship of survey results with reported educational measures. PARTICIPANTS: A combined 57 self-selected teams from 37 teaching hospitals enrolled in one of two collaboratives. ANALYSIS: We used descriptive statistics to report mean ACIC-E scores and educational measurement results, and Pearson's test for correlation between the final ACIC-E score and reported educational measures. RESULTS: A total of 29 teams from the national collaborative and 15 teams from the second collaborative in California completed the final ACIC-E. The instrument measured progress on all sub-scales of the Chronic Care Model. Fourteen California teams (70%) reported using two to six education measures (mean 4.3). The relationship between the final survey results and the number of educational measures reported was weak (R(2) = 0.06, p = 0.376), but improved when a single outlier was removed (R(2) = 0.37, p = 0.022). CONCLUSIONS: The ACIC-E instrument proved feasible to complete. Participating teams, on average, recorded modest improvement in all areas measured by the instrument over the duration of the collaboratives. The relationship between the final ACIC-E score and the number of educational measures was weak. Further research on its utility and validity is required.
Authors: Judith L Bowen; David P Stevens; Connie S Sixta; Lloyd Provost; Julie K Johnson; Donna M Woods; Edward H Wagner Journal: J Gen Intern Med Date: 2010-09 Impact factor: 5.128
Authors: David P Stevens; Judith L Bowen; Julie K Johnson; Donna M Woods; Lloyd P Provost; Halsted R Holman; Constance S Sixta; Ed H Wagner Journal: J Gen Intern Med Date: 2010-09 Impact factor: 5.128
Authors: Kelly Cristina Gomes Alves; Rafael Alves Guimarães; Marta Rovery de Souza; Otaliba Libânio de Morais Neto Journal: BMC Health Serv Res Date: 2019-11-29 Impact factor: 2.655