Validation of diabetes medication self-efficacy scale in Chinese with type 2 diabetes

A Transtheoretical Model-Based Online Intervention to Improve Medication Adherence for Chinese Adults Newly Diagnosed With Type 2 Diabetes: A Mixed-Method Study

BACKGROUND

Type 2 diabetes mellitus (T2DM) is increasing in China, with medication non-adherence being a significant contributor to uncontrolled T2DM. The Transtheoretical Model (TTM) has shown effectiveness in chronic disease management, but few studies have applied it in online interventions for T2DM medication adherence.

AIM

The study aimed to develop and investigate the effects of a TTM-based online health education program on promoting positive stage of change (SOC) movement, improving self-efficacy and medication adherence, as well as reducing HbA1c levels in newly diagnosed patients with T2DM.

METHODS

This sequential mixed-method study was conducted from April 2023 to March 2024. Using the TTM framework, the study initially explored 32 participants' experiences with hypoglycemic medications, health information acquisition, and perspectives on online programs. Then, a quasi-experimental study design was conducted. Two communities were randomly assigned as the intervention (n = 91) and comparison (n = 98) groups, with 189 newly diagnosed middle-aged T2DM patients from various SOC. The intervention group received short videos health education and participated in WeChat group discussions, compared with usual care in the comparison group. Data were collected at baseline, 3-month, and 6-month follow-ups.

RESULTS

The intervention group was more likely to achieve positive SOC movement (P < .001, Adj OR = 13.69 95% CI = 6.76-27.71) compared to the comparison group. The intervention group also had significantly higher mean CDMSS-11 and MMAS-8 scores at 6 months (P = .03 and <.001, respectively) and more likely to achieve clinically significant glycated Hemoglobin (HbA1c) change at 3 months (P < .001, Adj OR = 3.91, 95% CI = 1.77-8.63) and at 6 months (P < .001, Adj OR = 5.62, 95% CI = 2.70-11.69) compared to the comparison group.

CONCLUSION

These findings support that applying the TTM to develop an online program could promote behavior change, improve self-efficacy and medication adherence, and could lead to better glycemic control in newly diagnosed T2DM patients.

Measurement Properties of Patient-Reported Outcome Measures for Diabetes: Systematic Review

BACKGROUND

The management of diabetes is complex. There is growing recognition of the use of patient-reported outcome measures (PROMs) as a standardized method of obtaining an outlook on patients' functional status and well-being. However, no systematic reviews have summarized the studies that investigate the measurement properties of diabetes PROMs.

OBJECTIVE

Our aims were to conduct a systematic review of studies investigating the measurement properties of diabetes PROMs by evaluating the methodological quality and overall level of evidence of these PROMs and to categorize them based on the outcome measures assessed.

METHODS

This study was guided by the PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analysis) guidelines. Relevant articles were retrieved from the Embase, PubMed, and PsychINFO databases. The PROMs were evaluated with the COSMIN (COnsensus-based Standards for the selection of health Measurement Instruments) guidelines.

RESULTS

A total of 363 articles evaluating the measurement properties of PROMs for diabetes in the adult population were identified, of which 238 unique PROMs from 248 studies reported in 209 articles were validated in the type 2 diabetes population. PROMs with at least a moderate level of evidence for ≥5 of 9 measurement properties include the Chinese version of the Personal Diabetes Questionnaire (C-PDQ), Diabetes Self-Management Instrument Short Form (DSMI-20), and Insulin Treatment Appraisal Scale in Hong Kong primary care patients (C-ITAS-HK), of which the C-PDQ has a "sufficient (+)" rating for >4 measurement properties. A total of 43 PROMs meet the COSMIN guidelines for recommendation for use.

CONCLUSIONS

This study identified and synthesized evidence for the measurement properties of 238 unique PROMs for patients with type 2 diabetes and categorized the PROMs according to their outcome measures. These findings may assist clinicians and researchers in selecting appropriate high-quality PROMs for clinical practice and research.

TRIAL REGISTRATION

PROSPERO International Prospective Register of Systematic Reviews CRD42020180978; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020180978.

Measurement Properties of Existing Patient-Reported Outcome Measures on Medication Adherence: Systematic Review

BACKGROUND

Medication adherence is essential for improving the health outcomes of patients. Various patient-reported outcome measures (PROMs) have been developed to measure medication adherence in patients. However, no study has summarized the psychometric properties of these PROMs to guide selection for use in clinical practice or research.

OBJECTIVE

This study aims to evaluate the quality of the PROMs used to measure medication adherence.

METHODS

This study was guided by the PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analysis) guidelines. Relevant articles were retrieved from the EMBASE, PubMed, Cochrane Library, Web of Science, and CINAHL (Cumulative Index to Nursing and Allied Health Literature) databases. The PROMs were then evaluated based on the COnsensus-based Standards for the selection of health Measurement Instruments (COSMIN) guidelines.

RESULTS

A total of 121 unique medication adherence PROMs from 214 studies were identified. Hypotheses testing for construct validity and internal consistency were the most frequently assessed measurement properties. PROMs with at least a moderate level of evidence for ≥5 measurement properties include the Adherence Starts with Knowledge 20, Compliance Questionnaire-Rheumatology, General Medication Adherence Scale, Hill-Bone Scale, Immunosuppressant Therapy Barrier Scale, Medication Adherence Reasons Scale (MAR-Scale) revised, 5-item Medication Adherence Rating Scale (MARS-5), 9-item MARS (MARS-9), 4-item Morisky Medication Adherence Scale (MMAS-4), 8-item MMAS (MMAS-8), Self-efficacy for Appropriate Medication Adherence Scale, Satisfaction with Iron Chelation Therapy, Test of Adherence to Inhalers, and questionnaire by Voils. The MAR-Scale revised, MMAS-4, and MMAS-8 have been administered electronically.

CONCLUSIONS

This study identified 121 PROMs for medication adherence and provided synthesized evidence for the measurement properties of these PROMs. The findings from this study may assist clinicians and researchers in selecting suitable PROMs to assess medication adherence.

Development of an Item Bank to Measure Medication Adherence: Systematic Review

Background

Medication adherence is important in managing the progression of chronic diseases. A promising approach to reduce cognitive burden when measuring medication adherence lies in the use of computer‐adaptive tests (CATs) or in the development of shorter patient-reported outcome measures (PROMs). However, the lack of an item bank currently hampers this progress.

Objective

We aim to develop an item bank to measure general medication adherence.

Methods

Using the preferred reporting items for systematic review and meta-analysis (PRISMA), articles published before October 2019 were retrieved from PubMed, Embase, CINAHL, the Cochrane Library, and Web of Science. Items from existing PROMs were classified and selected (“binned” and “winnowed”) according to standards published by the Patient-Reported Outcomes Measurement Information System (PROMIS) Cooperative Group.

Results

A total of 126 unique PROMs were identified from 213 studies in 48 countries. Items from the literature review (47 PROMs with 579 items for which permission has been obtained) underwent binning and winnowing. This resulted in 421 candidate items (77 extent of adherence and 344 reasons for adherence).

Conclusions

We developed an item bank for measuring general medication adherence using items from validated PROMs. This will allow researchers to create new PROMs from selected items and provide the foundation to develop CATs.

Self-efficacy instruments for type 2 diabetes self-care: A systematic review of measurement properties

AIMS

To identify currently available self-efficacy instruments for type 2 diabetes self-care and to evaluate the evidence for their measurement properties.

DESIGN

Systematic review of measurement properties.

DATA SOURCES

The PubMed, Embase and CINAHL databases were searched from their inception to 27 May 2019.

REVIEW METHODS

The updated COnsensus-based Standards for the selection of health Measurement INstruments methodology were applied.

RESULTS

Twelve instruments were identified from 3,665 records. Eight instruments were related to self-efficacy in performing a comprehensive set of the tasks/behaviours for diabetes self-care and the other four addressed specific behaviours related to diabetes self-care, such as insulin management. Most of the 12 instruments were developed based on Bandura's self-efficacy theory as their theoretical background. Overall, sufficient high-quality evidence for measurement properties was seldom identified. The Diabetes Management Self-Efficacy Scale is currently the best instrument, with particularly the 4-factor, 16-item version being demonstrated to have sufficient high-quality evidence for structural and internal consistency and sufficient moderate-quality evidence for reliability and convergent validity.

CONCLUSIONS

None of the instruments evaluated all of the relevant measurement properties. The Diabetes Management Self-Efficacy Scale is currently the most suitable instrument for potential use in practice and research. The measurement invariance across languages, measurement error and responsiveness of this instrument still need be evaluated.

IMPACT

This systematic review provides clinicians and researchers with a comprehensive list of available instruments for measuring self-efficacy in diabetes self-care, as well as evidence for helping them to select the most appropriate instrument. Using a psychometrically sound instrument will accurately inform practitioners about the levels of self-efficacy in self-care among patients with type 2 diabetes in practice and avoid threatening the credibility of research studies on self-efficacy in diabetes self-care.