Table 4

Association Between Respondent and Clinic Characteristics and Top Quartile of Each Patient Engagement Subscale (vs Bottom Quartile)

CharacteristicPatient Planning, aOR (95% CI) (n = 915)Motivational Interviewing, aOR (95% CI) (n = 664)Organizational Strategies, aOR (95% CI) (n = 725)
Respondents
Role in PACT
 Primary care clinician0.8 (0.5-1.2)0.7 (0.4-1.2)0.6 (0.4-1.0)a
 Registered nurse1.0 (0.7-1.5)0.9 (0.6-1.4)1.7 (1.0-2.9)a
 Clinical associate (ref)1.01.01.0
Experience in PACT
 ≤2 years (ref)1.01.01.0
 >2 years0.7 (0.5-1.1)1.0 (0.6-1.6)1.3 (0.8-2.2)
Care setting: community-based outpatient clinic2.5 (1.6-3.8)a0.43 (0.3-0.8)a1.2 (0.8-1.9)
Clinics
Staffing ratio (≥3 per primary care clinician)2.0 (1.4-2.8)aNA2.1 (1.4-3.2)a
Staff turnover (in past 12 months)NA0.8 (0.5-1.1)NA
Role clarity1.5 (0.9-2.6)2.3 (1.3-4.1)a1.9 (1.1-3.2)a
Daily team huddles2.1 (1.5-3.1)aNA1.3 (0.9-2.0)
Regular team meetings3.4 (2.3-5.1)a2.7 (1.8-4.1)a2.4 (1.6-3.8)a
Responsible PACT leadership2.6 (1.5-4.8)a1.9 (1.0-3.5)a3.0 (1.6-5.4)a
Burnout
 At least once a weekNA0.6 (0.3-1.1)NA
 A few times a monthNA1.2 (0.6-2.3)NA
 Once a month or lessNA0.8 (0.5-1.5)NA
Psychological safetyNANANA
  • aOR = adjusted odds ratio; NA = not applicable (variable was not included in best subsets regression model); ref = reference group.

  • a Significant (P ≤.05), based on multivariate logistic regression models using generalized estimating equations to account for clustering by clinic facility. All models were adjusted for patient sociodemographic factors at the clinic level, as well as clinic and workload characteristics. Best subsets regression analysis was used to identify clinic characteristics that yielded the best model fit.