Dataset Information

Development and evaluation of the Measure of Drug Self-Management.

ABSTRACT:

Background

Current adherence scales often fail to assess the full spectrum of behaviors associated with safe and appropriate drug use and may be unsuitable for patients with limited health literacy. We sought to develop and evaluate a comprehensive yet brief Measure of Drug Self-Management (MeDS) for use in research and clinical settings among diverse patient groups.

Methods

Expert opinion, literature reviews, and interviews with patients and providers were utilized to create and revise potential items. Item performance testing was then conducted among 193 adult English-speaking patients with hypertension and diabetes. Factor analysis was used to inform item selection. Reliability was assessed via calculations of internal consistency. To assess construct and predictive validity, MeDS scores were compared with scores from the 8-item Morisky Medication Adherence Scale and relevant clinical measures (HbA1c, blood pressure, and low-density lipoprotein cholesterol).

Results

The MeDS demonstrated adequate internal consistency with a Cronbach's ? of 0.72. The MeDS was significantly correlated with the Morisky Medication Adherence Scale (r= -0.62; P<0.001). The MeDS was also associated with clinical measures, with statistically significant correlations found between MeDS scores and low-density lipoprotein cholesterol (r= -0.27, P?0.001) and diastolic blood pressure (r= -0.18, P=0.01).

Conclusion

The MeDS seems to be a valid and reliable tool that can be used to assess medication self-management skills among diverse patients, including those with limited literacy skills. Future studies are needed to test the tool in actual use and explore clinical applications.

SUBMITTER: Bailey SC

PROVIDER: S-EPMC4527367 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Publications

Development and evaluation of the Measure of Drug Self-Management.

Bailey Stacy Cooper SC Annis Izabela E IE Reuland Daniel S DS Locklear Autumn D AD Sleath Betsy L BL Wolf Michael S MS

Patient preference and adherence 20150731

<h4>Background</h4>Current adherence scales often fail to assess the full spectrum of behaviors associated with safe and appropriate drug use and may be unsuitable for patients with limited health literacy. We sought to develop and evaluate a comprehensive yet brief Measure of Drug Self-Management (MeDS) for use in research and clinical settings among diverse patient groups.<h4>Methods</h4>Expert opinion, literature reviews, and interviews with patients and providers were utilized to create and ...[more]

PMID: 26257515

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Project description:BackgroundPsychometrically sound measures of chronic disease self-management tasks are needed to improve identification of patient needs and to tailor self-management programs. This study aimed to develop and conduct a preliminary psychometric analysis of the CanSMART questionnaire among a diverse, multimorbid Canadian population.MethodsThe data were drawn from a cross-sectional online survey to examine self-management needs and support preferences. Participants were 306 Canadian adults with one or more physical and/or emotional chronic conditions. The questionnaire on frequency of self-management tasks was developed with substantial patient partner input. We conducted Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) of the 11 self-management tasks comprising the scale in two randomly selected subsamples, followed by Rasch analysis. Associations between patient characteristics and the self-management task subscales and individual items were explored.ResultsThe factor analyses identified two self-management task subscales that were labelled Coping tasks (6 items) and Physical tasks (3 items), with Cronbach's alpha of 0.70 and 0.67, respectively. Rasch analysis suggested that participants had difficulty discriminating between response options "mostly" and "always". In analyses of independent associations with patient characteristics, both Coping and Physical tasks were associated with reporting more than one chronic disease and employment disability. The Coping tasks subscale was associated with female sex. Two items, on medication use and monitoring biological parameters, did not load on either scale. Both were associated with specific diagnoses.ConclusionsIn this preliminary analysis, two self-management tasks subscales exhibit good psychometric properties. Two items that did not load on either scale may represent additional dimensions of self-management. This work provides the basis for further scale development and use in research and clinical practice.

Project description:BackgroundMultiple sclerosis (MS) is one of the most common neurological disorders worldwide, and self-management is considered an essential dimension in its control. This study aimed to develop an evidence-based mobile application for MS self-management and evaluate it.MethodsThis study was undertaken in three phases: content preparation, design, and evaluation. In the content preparation phase, the researchers extracted MS self-management needs based on related guidelines and guides, existing apps on the self-management of MS, and the field experts' views and confirmation. The design phase was conducted in five steps: defining app functionalities, depicting the wireframe, preparing the media, coding the app, and testing the app's performance. The app was developed using the Android Studio environment and Java programming language for the Android operating system. The performance of the developed app was tested separately in several turns, and existing defects were corrected in each turn. Finally, after using the app for three weeks, the app was evaluated for its short-term impact on MS management and user-friendliness using a researcher-constructed questionnaire from participants' (N = 20) perspectives.ResultsThe IDoThis app is an offline app for people with MS that includes five main modules: three modules for training or informing users about different aspects of MS, one module for monitoring the user's MS condition, and a reporting module. In the initial evaluation of the app, 75% (n = 15) of participants mentioned that using this app improved MS self-management status at intermediate and higher levels, but 25% (n = 5) of the participants mentioned that the effect of using the app on the self-management tasks was low or was very low. The majority of users rated the user-friendliness of the app as high. The users found the sections "exercises in MS" and "monitoring of MS status" beneficial to their self-management. Still, the fatigue and sleep management sections are needed to meet users' expectations.ConclusionUsing IDoThis app as a self-management tool for individuals with MS appears feasible, that can meet the need for a free and accessible self-management tool for individuals with MS. Future directions should consider the users' fatigue and sleep management expectations.

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Dataset Information

Development and evaluation of the Measure of Drug Self-Management.

Background

Methods

Results

Conclusion

Publications

Development and evaluation of the Measure of Drug Self-Management.

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