8,786 research outputs found

    Development of a prototype clinical decision support tool for osteoporosis disease management: a qualitative study of focus groups

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    <p>Abstract</p> <p>Background</p> <p>Osteoporosis affects over 200 million people worldwide, and represents a significant cost burden. Although guidelines are available for best practice in osteoporosis, evidence indicates that patients are not receiving appropriate diagnostic testing or treatment according to guidelines. The use of clinical decision support systems (CDSSs) may be one solution because they can facilitate knowledge translation by providing high-quality evidence at the point of care. Findings from a systematic review of osteoporosis interventions and consultation with clinical and human factors engineering experts were used to develop a conceptual model of an osteoporosis tool. We conducted a qualitative study of focus groups to better understand physicians' perceptions of CDSSs and to transform the conceptual osteoporosis tool into a functional prototype that can support clinical decision making in osteoporosis disease management at the point of care.</p> <p>Methods</p> <p>The conceptual design of the osteoporosis tool was tested in 4 progressive focus groups with family physicians and general internists. An iterative strategy was used to qualitatively explore the experiences of physicians with CDSSs; and to find out what features, functions, and evidence should be included in a working prototype. Focus groups were conducted using a semi-structured interview guide using an iterative process where results of the first focus group informed changes to the questions for subsequent focus groups and to the conceptual tool design. Transcripts were transcribed verbatim and analyzed using grounded theory methodology.</p> <p>Results</p> <p>Of the 3 broad categories of themes that were identified, major barriers related to the accuracy and feasibility of extracting bone mineral density test results and medications from the risk assessment questionnaire; using an electronic input device such as a Tablet PC in the waiting room; and the importance of including well-balanced information in the patient education component of the osteoporosis tool. Suggestions for modifying the tool included the addition of a percentile graph showing patients' 10-year risk for osteoporosis or fractures, and ensuring that the tool takes no more than 5 minutes to complete.</p> <p>Conclusions</p> <p>Focus group data revealed the facilitators and barriers to using the osteoporosis tool at the point of care so that it can be optimized to aid physicians in their clinical decision making.</p

    Usability evaluation of a clinical decision support tool for osteoporosis disease management

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    <p>Abstract</p> <p>Background</p> <p>Osteoporosis affects over 200 million people worldwide at a high cost to healthcare systems. Although guidelines are available, patients are not receiving appropriate diagnostic testing or treatment. Findings from a systematic review of osteoporosis interventions and a series of focus groups were used to develop a functional multifaceted tool that can support clinical decision-making in osteoporosis disease management at the point of care. The objective of our study was to assess how well the prototype met functional goals and usability needs.</p> <p>Methods</p> <p>We conducted a usability study for each component of the tool--the Best Practice Recommendation Prompt (BestPROMPT), the Risk Assessment Questionnaire (RAQ), and the Customised Osteoporosis Education (COPE) sheet--using the framework described by Kushniruk and Patel. All studies consisted of one-on-one sessions with a moderator using a standardised worksheet. Sessions were audio- and video-taped and transcribed verbatim. Data analysis consisted of a combination of qualitative and quantitative analyses.</p> <p>Results</p> <p>In study 1, physicians liked that the BestPROMPT can provide customised recommendations based on risk factors identified from the RAQ. Barriers included lack of time to use the tool, the need to alter clinic workflow to enable point-of-care use, and that the tool may disrupt the real reason for the visit. In study 2, patients completed the RAQ in a mean of 6 minutes, 35 seconds. Of the 42 critical incidents, 60% were navigational and most occurred when the first nine participants were using the stylus pen; no critical incidents were observed with the last six participants that used the touch screen. Patients thought that the RAQ questions were easy to read and understand, but they found it difficult to initiate the questionnaire. Suggestions for improvement included improving aspects of the interface and navigation. The results of study 3 showed that most patients were able to understand and describe sections of the COPE sheet, and all considered discussing the information with their physicians. Suggestions for improvement included simplifying the language and improving the layout.</p> <p>Conclusions</p> <p>Findings from the three studies informed changes to the tool and confirmed the importance of usability testing on all end users to reduce errors, and as an important step in the development process of knowledge translation interventions.</p

    Email for clinical communication between healthcare professionals

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    Background Email is a popular and commonly-used method of communication, but its use in healthcare is not routine. Where email communication has been utilised in health care, its purposes have included use for clinical communication between healthcare professionals, but the effects of using email in this way are not known. This review assesses the use of email for two-way clinical communication between healthcare professionals. Objectives To assess the effects of healthcare professionals using email to communicate clinical information, on healthcare professional outcomes, patient outcomes, health service performance, and service efficiency and acceptability, when compared to other forms of communicating clinical information. Search methods We searched: the Cochrane Consumers and Communication Review Group Specialised Register, Cochrane Central Register of Controlled Trials (CENTRAL, The Cochrane Library, Issue 1 2010), MEDLINE (OvidSP) (1950 to January 2010), EMBASE (OvidSP) (1980 to January 2010), PsycINFO (1967 to January 2010), CINAHL (EbscoHOST) (1982 to February 2010), and ERIC (CSA) (1965 to January 2010). We searched grey literature: theses/dissertation repositories, trials registers and Google Scholar (searched July 2010). We used additional search methods: examining reference lists, contacting authors. Selection criteria Randomised controlled trials, quasi-randomised trials, controlled before and after studies and interrupted time series studies examining interventions in which healthcare professionals used email for communicating clinical information, and that took the form of 1) unsecured email 2) secure email or 3) web messaging. All healthcare professionals, patients and caregivers in all settings were considered. Data collection and analysis Two authors independently assessed studies for inclusion, assessed the included studies' risk of bias, and extracted data. We contacted study authors for additional information. We report all measures as per the study report. Main results We included one randomised controlled trial involving 327 patients and 159 healthcare providers at baseline. It compared an email to physicians containing patient-specific osteoporosis risk information and guidelines for evaluation and treatment with usual care (no email). This study was at high risk of bias for the allocation concealment and blinding domains. The email reminder changed health professional actions significantly, with professionals more likely to provide guideline-recommended osteoporosis treatment (bone density measurement and/or osteoporosis medication) when compared with usual care. The evidence for its impact on patient behaviours/actions was inconclusive. One measure found that the electronic medical reminder message impacted patient behaviour positively: patients had a higher calcium intake, and two found no difference between the two groups. The study did not assess primary health service outcomes or harms. Authors' conclusions As only one study was identified for inclusion, the results are inadequate to inform clinical practice in regard to the use of email for clinical communication between healthcare professionals. Future research needs to use high-quality study designs that take advantage of the most recent developments in information technology, with consideration of the complexity of email as an intervention, and costs

    The Effect of Patient Reminders on Osteoporosis Screenings

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    Osteoporosis is characterized by reduction of bone mass and compromised bone strength, resulting in an increased fracture risk. Since a reduction of bone mass has been shown to be predictive of future fracture risk, prevention strategies target screening those patients at risk for decreased bone mass by using bone mineral density (BMD) dual energy x-ray absorptiometry (DXA) scans. Current national guidelines recommend that all women 65 years and older undergo BMD testing using central DXA every two years. Despite these recommendations, women age 65 years and older still do not participate in this screening. Greater rates of osteoporosis screening could be achieved by identifying an efficient, effective way for healthcare providers and patients to schedule DXA scans. The purpose of this EBP project was to determine if a mailed patient reminder would increases BMD screening rates in women at risk for osteoporosis, as compared to the previous practice of provider recommendation during a scheduled visit. The Stetler Model was used to guide the EBP project, and Kotter and Cohen’s eight steps for successful change provided support for the behavioral change. The population of focus consisted of female Medicare recipient’s age 65 years and older who were active patients within a Midwestern community care clinic in the fall of 2013. Overall, the mailed reminder for osteoporosis screening demonstrated effectiveness in improving BMD screening rates. At the end of the 12-week project, the percentage of female Medicare recipients who were up to date in their BMD screening increased from 17.07% to 31.40%. Those participating in BMD screening during the 12-intervention intervention period ranged in age from 65 to 98. Of the 47 female patients who were not up to date and had a DXA scan as a result of the intervention, a significantly larger percentage were patients of the physician (87.23%) versus patients of the NP (12.77%) who focused on women\u27s wellness during routine office visits (χ² = 9.824, p = .002)

    Evaluation of a clinical decision support tool for osteoporosis disease management: protocol for an interrupted time series design

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    <p>Abstract</p> <p>Background</p> <p>Osteoporosis affects over 200 million people worldwide at a high cost to healthcare systems. Although guidelines on assessing and managing osteoporosis are available, many patients are not receiving appropriate diagnostic testing or treatment. Findings from a systematic review of osteoporosis interventions, a series of mixed-methods studies, and advice from experts in osteoporosis and human-factors engineering were used collectively to develop a multicomponent tool (targeted to family physicians and patients at risk for osteoporosis) that may support clinical decision making in osteoporosis disease management at the point of care.</p> <p>Methods</p> <p>A three-phased approach will be used to evaluate the osteoporosis tool. In phase 1, the tool will be implemented in three family practices. It will involve ensuring optimal functioning of the tool while minimizing disruption to usual practice. In phase 2, the tool will be pilot tested in a quasi-experimental interrupted time series (ITS) design to determine if it can improve osteoporosis disease management at the point of care. Phase 3 will involve conducting a qualitative postintervention follow-up study to better understand participants' experiences and perceived utility of the tool and readiness to adopt the tool at the point of care.</p> <p>Discussion</p> <p>The osteoporosis tool has the potential to make several contributions to the development and evaluation of complex, chronic disease interventions, such as the inclusion of an implementation strategy prior to conducting an evaluation study. Anticipated benefits of the tool may be to increase awareness for patients about osteoporosis and its associated risks and provide an opportunity to discuss a management plan with their physician, which may all facilitate patient self-management.</p

    Evaluation of a Practice Change to Improve Screening, Identification, and Management of Patients with Prediabetes

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    Background: The prevalence rate of type 2 diabetes among adults in West Virginia (WV) is 10.85, which ranks fourth in the United States in 2007. Furthermore, WV ranks as second highest state for diabetes related deaths in the nation. Prediabetes increases the risks for development of type 2 diabetes. Studies have supported lifestyle modification education for prediabetic adults in an effort to reduce progression to type 2 diabetes.;Objective: To evaluate the use of an EMR reminder to improve the screening, identifying, and documentation of treatment plans for patient at risk for prediabetes.;Methods: A provider focused education session was offered to heightened awareness about prediabetes and provide instruction on the implementation of a new EMR reminder for prediabetes. An EMR was activated for an eight week intervention period. Data was collected from 100 randomly selected pre- and post- intervention chart audits.;Population: The population for this capstone project focused on adults 25 to70 years old within the Wirt County Health Service Association who meet the criteria for prediabetes by American Diabetes Association (2012) medical standards.;Expected Outcomes: The evaluation of the EMR reminder will improve screening, identifying, and documenting treatment plans based on critical appraisal of current literature

    Implementation of workflow engine technology to deliver basic clinical decision support functionality

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    BACKGROUND: Workflow engine technology represents a new class of software with the ability to graphically model step-based knowledge. We present application of this novel technology to the domain of clinical decision support. Successful implementation of decision support within an electronic health record (EHR) remains an unsolved research challenge. Previous research efforts were mostly based on healthcare-specific representation standards and execution engines and did not reach wide adoption. We focus on two challenges in decision support systems: the ability to test decision logic on retrospective data prior prospective deployment and the challenge of user-friendly representation of clinical logic. RESULTS: We present our implementation of a workflow engine technology that addresses the two above-described challenges in delivering clinical decision support. Our system is based on a cross-industry standard of XML (extensible markup language) process definition language (XPDL). The core components of the system are a workflow editor for modeling clinical scenarios and a workflow engine for execution of those scenarios. We demonstrate, with an open-source and publicly available workflow suite, that clinical decision support logic can be executed on retrospective data. The same flowchart-based representation can also function in a prospective mode where the system can be integrated with an EHR system and respond to real-time clinical events. We limit the scope of our implementation to decision support content generation (which can be EHR system vendor independent). We do not focus on supporting complex decision support content delivery mechanisms due to lack of standardization of EHR systems in this area. We present results of our evaluation of the flowchart-based graphical notation as well as architectural evaluation of our implementation using an established evaluation framework for clinical decision support architecture. CONCLUSIONS: We describe an implementation of a free workflow technology software suite (available at http://code.google.com/p/healthflow) and its application in the domain of clinical decision support. Our implementation seamlessly supports clinical logic testing on retrospective data and offers a user-friendly knowledge representation paradigm. With the presented software implementation, we demonstrate that workflow engine technology can provide a decision support platform which evaluates well against an established clinical decision support architecture evaluation framework. Due to cross-industry usage of workflow engine technology, we can expect significant future functionality enhancements that will further improve the technology's capacity to serve as a clinical decision support platform
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