Text-based Document. Psychometric Evaluation of the Diabetes Self-Management Instrument-Short Form (DSMI-20) Lin, Chiu-Chu; Lee, Chia-Lun

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The Henderson Repository is a free resource of the Honor Society of Nursing, Sigma Theta Tau International. It is dedicated to the dissemination of nursing research, researchrelated, and evidence-based nursing materials. Take credit for all your work, not just books and journal articles. To learn more, visit www.nursingrepository.org Item type Format Title Authors Presentation Text-based Document Psychometric Evaluation of the Diabetes Self-Management Instrument-Short Form (DSMI-20) Lin, Chiu-Chu; Lee, Chia-Lun Downloaded 6-Jul-2018 04:07:54 Link to item http://hdl.handle.net/10755/601680

PSYCHOMETRIC EVALUATION OF THE DIABETES SELF-MANAGEMENT INSTRUMENT -SHORT FORM (DSMI-20) Chiu-Chu Lin, RN, PhD College of Nursing, Kaohsiung Medical University, Taiwan

DISCLOSURE SLIDE Author names Chiu-Chu Lin, PhD, Chia-Lun Lee, RN, MSN Learner objectives (1)The learners could learn the process of developing and testing an instrument (2)The learners can utilize the instrument verified in this study to assess the self-management behaviors of people with diabetes No conflict of interest Acknowledgment of financial and other support: Kaohsiung Medical University Hospital (KMUH-97-P18) 2

OUTLINE Introduction & Purpose Methods Process of Items Reforming Pilot Test Data Collection Psychometric Evaluation Results Discussion and Conclusion 3

INTRODUCTION Diabetes is a life-long condition that cannot be cured, but can be controlled with medication and/or lifestyle modification Because self-management of diabetes is the cornerstone of overall diabetes management, a valid and reliable instrument is required for an accurate assessment of the patient s selfmanagement efforts. 4

PURPOSE To revise and simplify the DSMI-35 in order to enhance its practicality in clinical settings. To evaluated the psychometric properties of the revised instrument. 5

METHODS The short form instrument (DSMI-20) was created by revising our previous longer instrument (DSMI-35) through three phases: Phase 1: Process of items reforming Phase 2: Pilot Test Phase 3: Psychometric Evaluation 6

DSMI-35 DSMI-35 was composed of 5 factors: Self-integration Self-regulation Interaction with health care providers and significant others Self-monitoring of blood glucose Adherence to the recommended regiment 7

PHASE 1: PROCESS OF ITEMS REFORMING Small, in-depth group discussions one group was comprised of 3 participants with diabetes who had university education level one group was composed of 3 diabetes educators. Expert validity: 8 diabetes experts 3 university professors who expertise in diabetes selfmanagement and instrument development 3 diabetes educators 1 endocrinologist 1 endocrinology nurse specialist 8

PHASE 2: PILOT TEST A convenience sample of 50 patients with T2DM was recruited Inclusion criteria (1) have a diagnosis of T2DM (2) at least 18 years old (3) able to communicate in Mandarin or Taiwanese (4) willing to participate in the study On the basis of the item analysis results from the pilot study, 3 items with relevance less than 0.3 were removed. 35 items remained in the preliminary revised DSMI were score on a 4-pont Likert scare. 9

DATA COLLECTION Participants were recruited from the outpatient department and inpatient ward of a medical center and one outpatient clinic in southern Taiwan 237 patients with T2DM participated in the study 10

Validity PHASE 3: PSYCHOMETRIC EVALUATION Construct Validity : exploratory factor analysis Convergent validity: correlating the DSMI-20 with the diabetes empowerment scale Reliability Internal consistency: Cronbach's alpha coefficient Test-retest reliability 30 volunteers with T2DM completed the questionnaire again 2 weeks after the first test 11

Results 12

PARTICIPANT DEMOGRAPHICS Mean age was 59.51 ± 12.55 years Mean diabetes duration was 9.10 ± 7.84 years 57.4 % were women 78.9 % married Education level 29.5 % elementary education 22.8 % senior high 19.8 % junior high. 59.4 % had a family history of T2DM 64.6 % had additional chronic illnesses 48.9 % participants did not regularly selfmonitor their blood sugar levels 13

RESULTS OF ITEM ANALYSIS 2 items were removed prior to the subsequent construct validity test Taking medications at the prescribed times Taking the prescribed amount of medication Reason for removing had low item discrimination (SD < 0.75) and had factor loadings of less than 0.5. 14

RESULTS OF CONSTRUCT VALIDITY After the EFA, the final version of the revised DSMI consist of 20 items Covering 4 factors communication with HCPs self-integration self-monitoring of blood glucose problem-solving Explained 57.1103% of the total variance 15

RESULTS OF CONVERGENT VALIDITY Convergent validity The correlation of the DSMI-20 with the diabetes empowerment scale was 0.552 (p=.001) 16

RESULTS OF RELIABILITY The internal consistency (Cronbach s α) was 0.925 for the total instrument ranged between 0.838 and 0.892 for the 4 factors The test-retest reliability with 2-week interval was r = 0.790 (p= 0.001) 17

EFA RESULTS AND CRONBACH S ALPHA Factor/Cronbach s alpha Factor loading Factor 1: Communication with HCPs /Cronbach s alpha=0.892 b Comfortable telling HCPs about my struggles in managing diabetes 0.824 Comfortable discussing degree of flexibility in treatment plan with HCPs 0.786 Collaborating with HCPs to identify reasons for poor control 0.727 Comfortable asking HCPs questions 0.709 Comfortable discussing the modification treatment plan to fit lifestyle with HCPs 0.675 Comfortable asking HCPs about diabetes care resources 0.547 Factor 2: Self-integration /Cronbach s alpha=0.874 Considering effect on blood sugar when making food choices 0.907 Managing food portions and choices when eating out 0.886 Managing food choices to control blood sugar 0.769 Managing diabetes and participating in social activity 0.737 Factor 3: Self-monitoring of blood glucose /Cronbach s alpha=0.858 Monitoring A1c. to reach goals 0.750 Monitoring blood sugar levels to reach goals 0.714 b Regularly testing my blood sugar levels 0.628 b Set goals for my blood sugar control 0.567 Comparing differences between current and target blood sugar level 0.560 Factor 4: Problem-solving /Cronbach s alpha=0.838 Acting in response to symptoms -0.727 Testing blood sugar when feeling sick -0.691 b Increase the frequency of blood sugar tests when sick or under great stress -0.678 Making decisions based on experience -0.637 Recognize which signs and symptoms of high or low blood sugar -0.535 a Total scale: variance(%) 57.110%; Cronbach s alpha coefficients 0.925. b Represents new items developed in the study. 18

Discussion and Conclusion 19

DSMI-35 V.S. DSMI-20 DSMI-35 ( original version) Self-integration Interaction with health professionals and significant others Self-monitoring blood glucose Adherence to recommended regimen Self-regulation DSMI-20 ( short form) Self-integration Communication with HCPs Self-monitoring blood glucose Problem solving 20

DISCUSSION In the DSMI-20, the factors of communication with HCPs, self-integration, and self-monitoring of blood glucose were retained, but the factor of adherence to the recommended regiment was deleted according to the results of factor analysis. The structures in the DSMI-20 verified by the EFA are same as those in the original DSMI-35 except one factor named problem-solving that actually was a result of self-regulation (Caltabiano, 2012) in the original DSMI-35. 21

DISCUSSION The revised DSMI consist of 20 items, thus reducing the original DSMI-35 by 43%. Based on our clinical testing, people with primary education level only spent 5 minutes to complete the instrument without requiring additional clarification. The mean score of difficulty of the instrument on a 10-point scale (1 = very difficult and 10 = very easy) was 8.02 ± 2.21. 22

CONCLUSION The DSMI-20 is a valid and reliable instrument that is feasible for clinician adopting it to assess the selfmanagement behavior of patient with diabetes. EFA is a data-oriented analysis. Confirmatory factor analysis (CFA) is theory-oriented analysis and can truly explore the possible underlying factor structure of a hypothesized measurement model Next step: Utilize CFA to examine the construct validity of the DSMI-20 further. 23

Thank you for listening 24