Dataset Information

An EMR-based tool to support collaborative planning for medication use among adults with diabetes: design of a multi-site randomized control trial.

ABSTRACT: Patients with type II diabetes often struggle with self-care, including adhering to complex medication regimens and managing their blood glucose levels. Medication nonadherence in this population reflects many factors, including a gap between the demands of taking medication and the limited literacy and cognitive resources that many patients bring to this task. This gap is exacerbated by a lack of health system support, such as inadequate patient-provider collaboration. The goal of our project is to improve self-management of medications and related health outcomes by providing system support. The Medtable™ is an Electronic Medical Record (EMR)-integrated tool designed to support patient-provider collaboration needed for medication management. It helps providers and patients work together to create effective medication schedules that are easy to implement. We describe the development and initial evaluation of the tool, as well as the process of integrating it with an EMR system in general internal medicine clinics. A planned evaluation study will investigate whether an intervention centered on the Medtable™ improves medication knowledge, adherence, and health outcomes relative to a usual care control condition among type II diabetic patients struggling to manage multiple medications.

SUBMITTER: Morrow DG

PROVIDER: S-EPMC3408818 | biostudies-literature | 2012 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

An EMR-based tool to support collaborative planning for medication use among adults with diabetes: design of a multi-site randomized control trial.

Morrow Daniel G DG Conner-Garcia Thembi T Graumlich James F JF Wolf Michael S MS McKeever Stacey S Madison Anna A Davis Kathryn K Wilson Elizabeth A H EA Liao Vera V Chin Chieh-Li CL Kaiser Darren D

Contemporary clinical trials 20120601 5

Patients with type II diabetes often struggle with self-care, including adhering to complex medication regimens and managing their blood glucose levels. Medication nonadherence in this population reflects many factors, including a gap between the demands of taking medication and the limited literacy and cognitive resources that many patients bring to this task. This gap is exacerbated by a lack of health system support, such as inadequate patient-provider collaboration. The goal of our project i ...[more]

PMID: 22664648

Similar Datasets

Project description:ObjectiveTo evaluate the effect of a video decision support tool on the preferences for future medical care in older people if they develop advanced dementia, and the stability of those preferences after six weeks.DesignRandomised controlled trial conducted between 1 September 2007 and 30 May 2008. Setting Four primary care clinics (two geriatric and two adult medicine) affiliated with three academic medical centres in Boston.ParticipantsConvenience sample of 200 older people (>or=65 years) living in the community with previously scheduled appointments at one of the clinics. Mean age was 75 and 58% were women.InterventionVerbal narrative alone (n=106) or with a video decision support tool (n=94).Main outcome measuresPreferred goal of care: life prolonging care (cardiopulmonary resuscitation, mechanical ventilation), limited care (admission to hospital, antibiotics, but not cardiopulmonary resuscitation), or comfort care (treatment only to relieve symptoms). Preferences after six weeks. The principal category for analysis was the difference in proportions of participants in each group who preferred comfort care.ResultsAmong participants receiving the verbal narrative alone, 68 (64%) chose comfort care, 20 (19%) chose limited care, 15 (14%) chose life prolonging care, and three (3%) were uncertain. In the video group, 81 (86%) chose comfort care, eight (9%) chose limited care, four (4%) chose life prolonging care, and one (1%) was uncertain (chi(2)=13.0, df=3, P=0.003). Among all participants the factors associated with a greater likelihood of opting for comfort care were being a college graduate or higher, good or better health status, greater health literacy, white race, and randomisation to the video arm. In multivariable analysis, participants in the video group were more likely to prefer comfort care than those in the verbal group (adjusted odds ratio 3.9, 95% confidence interval 1.8 to 8.6). Participants were re-interviewed after six weeks. Among the 94/106 (89%) participants re-interviewed in the verbal group, 27 (29%) changed their preferences (kappa=0.35). Among the 84/94 (89%) participants re-interviewed in the video group, five (6%) changed their preferences (kappa=0.79) (P<0.001 for difference).ConclusionOlder people who view a video depiction of a patient with advanced dementia after hearing a verbal description of the condition are more likely to opt for comfort as their goal of care compared with those who solely listen to a verbal description. They also have more stable preferences over time.Trial registrationClinicaltrials.gov NCT00704886.

Project description:BackgroundThe use of mobile health (mHealth) has gained popularity globally, including for its use in a variety of health interventions, particularly through short message service (SMS) text messaging. However, there are challenges to the use of mHealth, particularly among older users who have a large heterogeneity in usability and accessibility barriers when using technology.ObjectiveIn order to better understand and conceptualize the diversity of users and give insight into their particular needs, we turned to persona creation. Personas are user archetypes created through data generated from multi-method inquiry with actual target users. Personas are an appropriate yet largely underutilized component of current mHealth research.MethodsLeveraging data from a multi-method study conducted in Singapore with an ethnically diverse population including Chinese, Malay, and Indian participants, we used a proforma to analyze data from the qualitative component (ie, 20 in-depth interviews) and quantitative component (ie, 100 interviewer-guided surveys). We then identified key characteristics, including technology use and preferences as well as adherence factors, to synthesize five personas reflective of persons over the age of 40 years in Singapore with atherosclerotic cardiovascular disease (ASCVD) or ASCVD risk factors, such as hypertension.ResultsWe present five personas typologized as (1) The Quiet Analog, (2) The Busy Grandparent, (3) The Socializer, (4) The Newly Diagnosed, and (5) The Hard-to-Reach. We report on four key characteristics: health care access, medication adherence, mobile phone technology usage (ie, ownership, access, and utilization), and interest in mHealth. Finally, we provide insights into how these personas may be used in the design and implementation of an mHealth intervention. Our work demonstrates how multi-method data can create biopsychosocial personas that can be used to explore and address the diversity in behaviors, preferences, and needs in user groups.ConclusionsWith wider adoption of mHealth, it is important that we consider user-centered design techniques and design thinking in order to create meaningful, patient-centered interventions for adherence to medications. Future research in this area should include greater exploration of how these five personas can be used to better understand how and when is best to deliver mHealth interventions in Singapore and beyond.

Project description:Background: High-quality family planning (FP) services have been associated with increased FP service demand and use, resulting in improved health outcomes for women. Community-based family planning (CBFP) is a key strategy in expanding access to FP services through community health workers or Village Health Team (VHTs) members in Uganda. We established the first CBFP learning site in Busia district, Uganda, using a quality improvement collaborative (QIC) model. This process evaluation aims to understand the QIC adaptation process, supportive implementation factors and trends in FP uptake and retention. Methods: We collected data from two program districts: Busia (learning site) and Oyam (scale-up). We used a descriptive mixed-methods process evaluation design: desk review of program documents, program monitoring data and in-depth interviews and focus group discussions. Results: The quality improvement (QI) process strengthened linkages between health services provided in communities and health centers. Routine interaction of VHTs, clients and midwives generated improvement ideas. Participants reported increased learning through midwife mentorship of VHTs, supportive supervision, monthly meetings, data interpretation and learning sessions. Three areas for potential sustainability and institutionalization of the QI efforts were identified: the integration of QI into other services, district-level plans and support for the QIC and motivation of QI teams. Challenges in the replication of this model include the community-level capacity for data recording and interpretation, the need to simplify QI terminology and tools for VHTs and travel reimbursements for meetings. We found positive trends in the number of women on an FP method, the number of returning clients and the number of couples counseled. Conclusions: A QIC can be a positive approach to improve VHT service delivery. Working with VHTs on QI presents specific challenges compared to working at the facility level. To strengthen the implementation of this CBFP QIC and other community-based QICs, we provide program-relevant recommendations.

Project description:BackgroundThis paper describes the means by which a United States National Institute on Drug Abuse (NIDA)-funded cooperative, Juvenile Justice-Translational Research on Interventions for Adolescents in the Legal System (JJ-TRIALS), utilized an established implementation science framework in conducting a multi-site, multi-research center implementation intervention initiative. The initiative aimed to bolster the ability of juvenile justice agencies to address unmet client needs related to substance use while enhancing inter-organizational relationships between juvenile justice and local behavioral health partners.MethodsThe EPIS (Exploration, Preparation, Implementation, Sustainment) framework was selected and utilized as the guiding model from inception through project completion; including the mapping of implementation strategies to EPIS stages, articulation of research questions, and selection, content, and timing of measurement protocols. Among other key developments, the project led to a reconceptualization of its governing implementation science framework into cyclical form as the EPIS Wheel. The EPIS Wheel is more consistent with rapid-cycle testing principles and permits researchers to track both progressive and recursive movement through EPIS. Moreover, because this randomized controlled trial was predicated on a bundled strategy method, JJ-TRIALS was designed to rigorously test progress through the EPIS stages as promoted by facilitation of data-driven decision making principles. The project extended EPIS by (1) elucidating the role and nature of recursive activity in promoting change (yielding the circular EPIS Wheel), (2) by expanding the applicability of the EPIS framework beyond a single evidence-based practice (EBP) to address varying process improvement efforts (representing varying EBPs), and (3) by disentangling outcome measures of progression through EPIS stages from the a priori established study timeline.DiscussionThe utilization of EPIS in JJ-TRIALS provides a model for practical and applied use of implementation frameworks in real-world settings that span outer service system and inner organizational contexts in improving care for vulnerable populations.Trial registrationNCT02672150 . Retrospectively registered on 22 January 2016.

Dataset Information

An EMR-based tool to support collaborative planning for medication use among adults with diabetes: design of a multi-site randomized control trial.

Publications

An EMR-based tool to support collaborative planning for medication use among adults with diabetes: design of a multi-site randomized control trial.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets