TY - JOUR
T1 - The importance of relational coordination and reciprocal learning for chronic illness care within primary care teams
AU - Noël, Polly Hitchcock
AU - Lanham, Holly J.
AU - Palmer, Ray F.
AU - Leykum, Luci K
AU - Parchman, Michael L.
PY - 2013/1
Y1 - 2013/1
N2 - BACKGROUND: Recent research from a complexity theory perspective suggests that implementation of complex models of care, such as the Chronic Care Model (CCM), requires strong relationships and learning capacities among primary care teams. PURPOSES: Our primary aim was to assess the extent to which practice member perceptions of relational coordination and reciprocal learning were associated with the presence of CCM elements in community-based primary care practices. METHODOLOGY/APPROACH: We used baseline measures from a cluster randomized controlled trial testing a practice facilitation intervention to implement the CCM and improve risk factor control for patients with Type 2 diabetes in small primary care practices. Practice members (i.e., physicians, nonphysician providers, and staff) completed baseline assessments, which included the Relational Coordination Scale, Reciprocal Learning Scale, and the Assessment of Chronic Illness Care (ACIC) survey, along with items assessing individual and clinic characteristics. To assess the association between Relational Coordination, Reciprocal Learning, and ACIC, we used a series of hierarchical linear regression models accounting for clustering of individual practice members within clinics and controlling for individual- and practice-level characteristics and tested for mediation effects. FINDINGS: A total of 283 practice members from 39 clinics completed baseline measures. Relational Coordination scores were significantly and positively associated with ACIC scores (Model 1). When Reciprocal Learning was added, Relational Coordination remained a significant yet notably attenuated predictor of ACIC (Model 2). The mediation effect was significant (z = 9.3, p < .01); 24% of the association between Relational Coordination and ACIC scores was explained by Reciprocal Learning. Of the individual- and practice-level covariates included in Model 3, only the presence of an electronic medical record was significant; Relational Coordination and Reciprocal Learning remained significant independent predictors of ACIC. PRACTICE IMPLICATIONS: Efforts to implement complex models of care should incorporate strategies to strengthen relational coordination and reciprocal learning among team members.
AB - BACKGROUND: Recent research from a complexity theory perspective suggests that implementation of complex models of care, such as the Chronic Care Model (CCM), requires strong relationships and learning capacities among primary care teams. PURPOSES: Our primary aim was to assess the extent to which practice member perceptions of relational coordination and reciprocal learning were associated with the presence of CCM elements in community-based primary care practices. METHODOLOGY/APPROACH: We used baseline measures from a cluster randomized controlled trial testing a practice facilitation intervention to implement the CCM and improve risk factor control for patients with Type 2 diabetes in small primary care practices. Practice members (i.e., physicians, nonphysician providers, and staff) completed baseline assessments, which included the Relational Coordination Scale, Reciprocal Learning Scale, and the Assessment of Chronic Illness Care (ACIC) survey, along with items assessing individual and clinic characteristics. To assess the association between Relational Coordination, Reciprocal Learning, and ACIC, we used a series of hierarchical linear regression models accounting for clustering of individual practice members within clinics and controlling for individual- and practice-level characteristics and tested for mediation effects. FINDINGS: A total of 283 practice members from 39 clinics completed baseline measures. Relational Coordination scores were significantly and positively associated with ACIC scores (Model 1). When Reciprocal Learning was added, Relational Coordination remained a significant yet notably attenuated predictor of ACIC (Model 2). The mediation effect was significant (z = 9.3, p < .01); 24% of the association between Relational Coordination and ACIC scores was explained by Reciprocal Learning. Of the individual- and practice-level covariates included in Model 3, only the presence of an electronic medical record was significant; Relational Coordination and Reciprocal Learning remained significant independent predictors of ACIC. PRACTICE IMPLICATIONS: Efforts to implement complex models of care should incorporate strategies to strengthen relational coordination and reciprocal learning among team members.
KW - Chronic Care Model
KW - diabetes
KW - primary care
KW - reciprocal learning
KW - relational coordination
UR - http://www.scopus.com/inward/record.url?scp=84871647311&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84871647311&partnerID=8YFLogxK
U2 - 10.1097/HMR.0b013e3182497262
DO - 10.1097/HMR.0b013e3182497262
M3 - Article
C2 - 22310483
AN - SCOPUS:84871647311
SN - 0361-6274
VL - 38
SP - 20
EP - 28
JO - Health Care Management Review
JF - Health Care Management Review
IS - 1
ER -