Capacity and predictors to perform integrated leading, managing and governing practices for results among the health system workforce: cross-sectional survey

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Abstract Introduction: Observing over-led and under-managed, over-managed and under-governed, and even out of these health organizations remains a common phenomenon in low and middle-income countries. Objective: To determine the capacity and predictors to perform integrated leading, managing and governing practices for results among the health system workforce.Methods: A cross-sectional study, from December to January 2018, was carried out in northwest Ethiopia. Eight hundred thirteen health facility employees were selected to rate her/his respective staff’s capacity on performing integrated leading, managing and governing practices for results. The capacity with 95% CI was computed from 20 items loaded in a four-factor measurement model and leveled into four ordinal categories. Moreover, predictors of this capacity were identified by conducting ordinal logistic regression analysis.Results: From 813 participants, 396 (48.7%) and 582 (71.6%) were females and service owners respectively. The magnitude estimates for the low, moderate, high and very high capacity levels with 95% CI were 41.3% (37.8, 44.6); 42.7% (39.5, 46.0); 13.5% (11.2, 15.9) and 2.5% (1.5, 3.7), respectively. Sex (p = .031) and responsibility (p = .019) were identified as the main predictors.Conclusions: The capacity to perform integrated leading, managing and governing practices for results among the health system workforce in northwest Ethiopia is inadequate. Sex and responsibility are identified as the main statistically significant predictors. The policymakers, program planners and researchers need to take action giving due attention to females and service owners. Feature research could be conducted considering hierarchical variables, mixed design, and large sample size.

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