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      The association between patient activation and self‐care practices: A cross‐sectional study of an Australian population with comorbid diabetes and chronic kidney disease

      research-article
      , BSc (Hons) RN, MIH 1 , 2 , , MBBS, PhD, FRACP 2 , 3 , , M Epi, MSc (Applied Stats) 2 , , MBBS (Hons), PhD, FRACP 1 , , BHB, MBChB, FRACP, MClinEpi, PhD 1 , , MBBS, FRACP, PhD 2 , 3 , , BSc MD, MBBS, FRACGP, FRCP, FAICD 4 , 5 , , MBBS, FRACP, MD, MPH 6 , , B Pharm, Dip Hosp Pharm, MBA 7 , , MBBS, MD, FRACP 8 , , MBBS, PhD, FRACP 2 , 3 , 5 ,
      Health Expectations : An International Journal of Public Participation in Health Care and Health Policy
      John Wiley and Sons Inc.
      chronic kidney disease, diabetes, patient activation, self‐care, self‐management

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          Abstract

          Objective

          This study aimed to examine the association between performance of self‐care activities and patient or disease factors as well as patient activation levels in patients with diabetes and chronic kidney disease ( CKD) in Australia.

          Methods

          A cross‐sectional study was conducted among adults with diabetes and CKD ( eGFR <60 mL/min/1.73m 2) who were recruited from renal and diabetes clinics of four tertiary hospitals in Australia. Demographic and clinical data were collected, as well as responses to the Patient Activation Measure ( PAM) and the Summary of Diabetes Self‐Care Activities ( SDSCA) scale. Regression analyses were performed to determine the relationship between activation and performance of self‐care activities.

          Results

          A total of 317 patients (70% men) with a mean age of 66.9 ( SD=11.0) years participated. The mean ( SD) PAM and composite SDSCA scores were 57.6 (15.5) % (range 0‐100) and 37.3 (11.2) (range 0‐70), respectively. Younger age, being male, advanced stages of CKD and shorter duration of diabetes were associated with lower scores in one or more self‐care components. Patient activation was positively associated with the composite SDSCA score, and in particular the domains of general diet and blood sugar checking ( P<.05), but not specific diet, exercising and foot checking.

          Conclusion

          In people with diabetes and CKD, a high level of patient activation was positively associated with a higher overall level of self‐care. Our results identify subgroups of people who may benefit from tailored interventions to further improve their health outcomes. Further prospective studies are warranted to confirm present findings.

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          Most cited references44

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          Development and testing of a short form of the patient activation measure.

          The Patient Activation Measure (PAM) is a 22-item measure that assesses patient knowledge, skill, and confidence for self-management. The measure was developed using Rasch analyses and is an interval level, unidimensional, Guttman-like measure. The current analysis is aimed at reducing the number of items in the measure while maintaining adequate precision. We relied on an iterative use of Rasch analysis to identify items that could be eliminated without loss of significant precision and reliability. With each item deletion, the item scale locations were recalibrated and the person reliability evaluated to check if and how much of a decline in precision of measurement resulted from the deletion of the item. The data used in the analysis were the same data used in the development of the original 22-item measure. These data were collected in 2003 via a telephone survey of 1,515 randomly selected adults. Principal Findings. The analysis yielded a 13-item measure that has psychometric properties similar to the original 22-item version. The scores for the 13-item measure range in value from 38.6 to 53.0 (on a theoretical 0-100 point scale). The range of values is essentially unchanged from the original 22-item version. Subgroup analysis suggests that there is a slight loss of precision with some subgroups. The results of the analysis indicate that the shortened 13-item version is both reliable and valid.
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            Organizing care for patients with chronic illness.

            Usual medical care often fails to meet the needs of chronically ill patients, even in managed, integrated delivery systems. The medical literature suggests strategies to improve outcomes in these patients. Effective interventions tend to fall into one of five areas: the use of evidence-based, planned care; reorganization of practice systems and provider roles; improved patient self-management support; increased access to expertise; and greater availability of clinical information. The challenge is to organize these components into an integrated system of chronic illness care. Whether this can be done most efficiently and effectively in primary care practice rather than requiring specialized systems of care remains unanswered.
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              Do increases in patient activation result in improved self-management behaviors?

              The purpose of this study is to determine whether patient activation is a changing or changeable characteristic and to assess whether changes in activation also are accompanied by changes in health behavior. To obtain variability in activation and self-management behavior, a controlled trial with chronic disease patients randomized into either intervention or control conditions was employed. In addition, changes in activation that occurred in the total sample were also examined for the study period. Using Mplus growth models, activation latent growth classes were identified and used in the analysis to predict changes in health behaviors and health outcomes. Survey data from the 479 participants were collected at baseline, 6 weeks, and 6 months. Positive change in activation is related to positive change in a variety of self-management behaviors. This is true even when the behavior in question is not being performed at baseline. When the behavior is already being performed at baseline, an increase in activation is related to maintaining a relatively high level of the behavior over time. The impact of the intervention, however, was less clear, as the increase in activation in the intervention group was matched by nearly equal increases in the control group. Results suggest that if activation is increased, a variety of improved behaviors will follow. The question still remains, however, as to what interventions will improve activation.
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                Author and article information

                Contributors
                sophia.zoungas@monash.edu
                Journal
                Health Expect
                Health Expect
                10.1111/(ISSN)1369-7625
                HEX
                Health Expectations : An International Journal of Public Participation in Health Care and Health Policy
                John Wiley and Sons Inc. (Hoboken )
                1369-6513
                1369-7625
                04 July 2017
                December 2017
                : 20
                : 6 ( doiID: 10.1111/hex.2017.20.issue-6 )
                : 1375-1384
                Affiliations
                [ 1 ] Department of Nephrology Monash Health Clayton Vic Australia
                [ 2 ] Monash Centre for Health Research and Implementation School of Public Health and Preventive Medicine Monash University Clayton Vic Australia
                [ 3 ] Diabetes and Vascular Medicine Unit Monash Health Clayton Vic Australia
                [ 4 ] Department of General Practice Sydney Medical School Westmead University of Sydney Sydney NSW Australia
                [ 5 ] The George Institute for Global Health Camperdown NSW Australia
                [ 6 ] Department of Renal Medicine Alfred Health Prahran Vic Australia
                [ 7 ] Diabetes Australia Canberra ACT Australia
                [ 8 ] Department of Diabetes and Endocrinology Royal North Shore Hospital St Leonards NSW Australia
                Author notes
                [*] [* ] Correspondence

                Sophia Zoungas, Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Vic, Australia.

                Email: sophia.zoungas@ 123456monash.edu

                Author information
                http://orcid.org/0000-0002-2423-9193
                Article
                HEX12577
                10.1111/hex.12577
                5689227
                28675539
                3cfb0be6-1061-41ad-92f4-9402e424ce32
                © 2017 The Authors Health Expectations Published by John Wiley & Sons Ltd

                This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 01 May 2017
                Page count
                Figures: 3, Tables: 2, Pages: 10, Words: 7325
                Funding
                Funded by: National Health and Medical Research Council Australia (NHMRC)
                Award ID: ID 1055175
                Funded by: Australian Postgraduate Award Scholarship
                Funded by: National Health and Medical Research Council Practitioner Fellowship
                Funded by: National Health and Medical Research Council Senior Research Fellowship
                Categories
                Original Research Paper
                Original Research Papers
                Custom metadata
                2.0
                hex12577
                December 2017
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.2.5 mode:remove_FC converted:16.11.2017

                Health & Social care
                chronic kidney disease,diabetes,patient activation,self‐care,self‐management

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