Irene D. Bos-Touwen|Marieke J. Schuurmans|Evelyn M. Monninkhof|Yvonne Korpershoek|Lotte Spruit-Bentvelzen|Inge Ertugrul-van der Graaf|Niek de Wit|Jaap C.A. Trappenburg
Patient and Disease Characteristics Associated with Activation for Self-Management in Patients with Diabetes, Chronic Obstructive Pulmonary Disease, Chronic Heart Failure and Chronic Renal Disease: A Cross-Sectional Survey Study
University Medical Center Utrecht|University Medical Center Utrecht|University Medical Center Utrecht|University Medical Center Utrecht|University Medical Center Utrecht|University Medical Center Utrecht|University Medical Center Utrecht|University Medical Center Utrecht
substantial proportion chronic disease patients respond selfmanagement interventions suggests one size interventions fit demanding tailored interventions compose individualized strategies aim increase understanding characteristics associated patient activation selfmanagement evaluate whether diseasetranscending crosssectional survey study conducted primary secondary care patients type2 diabetes mellitus dmii chronic obstructive pulmonary disease copd chronic heart failure chf chronic renal disease crd using multiple linear regression analysis analyzed associations selfmanagement activation 13item patient activation measure pam13 wide range sociodemographic clinical psychosocial determinants furthermore assessed whether associations determinants pam diseasetranscending testing whether disease effect modifier addition identified determinants associated low activation selfmanagement using logistic regression analysis included 1154 patients 53 response rate 422 dmii patients 290 copd patients 223 hf patients 219 crd patients mean age 696109 multiple linear regression analysis revealed 9 explanatory determinants activation selfmanagement age bmi educational level financial distress physical health status depression illness perception social support underlying disease explaining variance 163 associations except social support disease transcending study explored factors associated varying levels activation selfmanagement results first step supporting clinicians researchers identify subpopulations chronic disease patients less likely engaged selfmanagement increased scientific efforts needed explain greater part factors contribute complex nature patient activation selfmanagement