Portrait of driving practice following a mild stroke : a secondary analysis of a chart audit

Background: The majority of individuals who have had a mild stroke are discharged home from acute care. Yet, the proportion who are assessed for driving ability and given related recommendations is unknown. Objective: To describe acute care practice related to driving among individuals whose discharge location is home. Methods: A secondary analysis of data from a chart audit was realized in the Province of Quebec, Canada. Data were retrieved from the charts by trained extractors. Evaluation practice was described according to whether the driving assessment was specific or nonspecific to driving (cognitive, perceptual and visual functions). Descriptive statistics were used. Results: The sample consisted of 419 charts of individuals with a mean age of 70.5 ± 13.3 years old. Mean length of hospital stay was 10.3 ± 13.3 days. Specific driving assessment was documented among 26/419 (6.2%) charts while for seven of these, the assessment was considered full. Meanwhile, 92/419 (22.0%) were considered as problematic for driving a vehicle. Nonspecific driving assessment was documented among 70/419 (16.7%), 43/419 (10.3%) and 33/419 (7.9%) of charts for cognitive, perceptual and visual functions, respectively. Charts were characterized by several missing data relating to driving. Conclusion: The proportion of charts documenting driving restriction post-stroke in acute care was very low. Assuming that all driving discussions and referrals were captured in the charts (which may not be the case), our results would indicate an important gap in acute care practice as compared to best practices relating to driving post-stroke

The development and preliminary validation of a Preference-Based Stroke Index (PBSI)

BACKGROUND: Health-related quality of life (HRQL) is a key issue in disabling conditions like stroke. Unfortunately, HRQL is often difficult to quantify in a comprehensive measure that can be used in cost analyses. Preference-based HRQL measures meet this challenge. To date, there are no existing preference-based HRQL measure for stroke that could be used as an outcome in clinical and economic studies of stroke. The aim of this study was to develop the first stroke-specific health index, the Preference-based Stroke Index (PBSI). METHODS: The PBSI includes 10 items; walking, climbing stairs, physical activities/sports, recreational activities, work, driving, speech, memory, coping and self-esteem. Each item has a 3-point response scale. Items known to be impacted by a stroke were selected. Scaling properties and preference-weights obtained from individuals with stroke and their caregivers were used to develop a cumulative score. RESULTS: Compared to the EQ-5D, the PBSI showed no ceiling effect in a high-functioning stroke population. Moderately high correlations were found between the physical function (r = 0.78), vitality (r = 0.67), social functioning (r = 0.64) scales of the SF-36 and the PBSI. The lowest correlation was with the role emotional scale of the SF-36 (r = 0.32). Our results indicated that the PBSI can differentiate patients by severity of stroke (p < 0.05) and level of functional independence (p < 0.0001). CONCLUSIONS: Content validity and preliminary evidence of construct validity has been demonstrated. Further work is needed to develop a multiattribute utility function to gather information on psychometric properties of the PBSI

Synergizing expectation and execution for stroke communities of practice innovations

<p>Abstract</p> <p>Background</p> <p>Regional networks have been recognized as an interesting model to support interdisciplinary and inter-organizational interactions that lead to meaningful care improvements. Existing communities of practice within the a regional network, the Montreal Stroke Network (MSN) offers a compelling structure to better manage the exponential growth of knowledge and to support care providers to better manage the complex cases they must deal with in their practices. This research project proposes to examine internal and external factors that influence individual and organisational readiness to adopt national stroke best practices and to assess the impact of an e-collaborative platform in facilitating knowledge translation activities.</p> <p>Methods</p> <p>We will develop an e-collaborative platform that will include various social networking and collaborative tools. We propose to create online brainstorming sessions ('jams') around each best practice recommendation. Jam postings will be analysed to identify emergent themes. Syntheses of these analyses will be provided to members to help them identify priority areas for practice change. Discussions will be moderated by clinical leaders, whose role will be to accelerate crystallizing of ideas around 'how to' implement selected best practices. All clinicians (~200) involved in stroke care among the MSN will be asked to participate. Activities during face-to-face meetings and on the e-collaborative platform will be documented. Content analysis of all activities will be performed using an observation grid that will use as outcome indicators key elements of communities of practice and of the knowledge creation cycle developed by Nonaka. Semi-structured interviews will be conducted among users of the e-collaborative platform to collect information on variables of the knowledge-to-action framework. All participants will be asked to complete three questionnaires: the typology questionnaire, which classifies individuals into one of four mutually exclusive categories of information seeking; the e-health state of readiness, which covers ten domains of the readiness to change; and a community of practice evaluation survey.</p> <p>Summary</p> <p>This project is expected to enhance our understanding of collaborative work across disciplines and organisations in accelerating implementation of best practices along the continuum of care, and how e-technologies influence access, sharing, creation, and application of knowledge.</p

Assessing the accuracy of an inter-institutional automated patient-specific health problem list

<p>Abstract</p> <p>Background</p> <p>Health problem lists are a key component of electronic health records and are instrumental in the development of decision-support systems that encourage best practices and optimal patient safety. Most health problem lists require initial clinical information to be entered manually and few integrate information across care providers and institutions. This study assesses the accuracy of a novel approach to create an inter-institutional automated health problem list in a computerized medical record (MOXXI) that integrates three sources of information for an individual patient: diagnostic codes from medical services claims from all treating physicians, therapeutic indications from electronic prescriptions, and single-indication drugs.</p> <p>Methods</p> <p>Data for this study were obtained from 121 general practitioners and all medical services provided for 22,248 of their patients. At the opening of a patient's file, all health problems detected through medical service utilization or single-indication drug use were flagged to the physician in the MOXXI system. Each new arising health problem were presented as 'potential' and physicians were prompted to specify if the health problem was valid (Y) or not (N) or if they preferred to reassess its validity at a later time.</p> <p>Results</p> <p>A total of 263,527 health problems, representing 891 unique problems, were identified for the group of 22,248 patients. Medical services claims contributed to the majority of problems identified (77%), followed by therapeutic indications from electronic prescriptions (14%), and single-indication drugs (9%). Physicians actively chose to assess 41.7% (n = 106,950) of health problems. Overall, 73% of the problems assessed were considered valid; 42% originated from medical service diagnostic codes, 11% from single indication drugs, and 47% from prescription indications. Twelve percent of problems identified through other treating physicians were considered valid compared to 28% identified through study physician claims.</p> <p>Conclusion</p> <p>Automation of an inter-institutional problem list added over half of all validated problems to the health problem list of which 12% were generated by conditions treated by other physicians. Automating the integration of existing information sources provides timely access to accurate and relevant health problem information. It may also accelerate the uptake and use of electronic medical record systems.</p

The development of a preference-based health index for stroke /

Quality of life is a key issue in disabling conditions like stroke. Unfortunately, quality of life is often difficult to quantify in a comprehensive measure that can be used in cost analyses. Preference-based health status measures meet this challenge. A health outcome generated by a preference-based measure is assigned one single value that captures and weighs the various losses and gains on the different attributes or domains covered by the measure. Possible scores on a preference-based measure range from 0 (worst possible health state) to 1 (best possible health state). As there is no existing preference-based health status measure specific for stroke, this doctoral project aimed to develop one for use as an outcome in clinical and economic studies of stroke.Several steps were required to develop the Preference-based Stroke Index (PBSI), a 10-item comprehensive measure of health status post-stroke. In order to ensure high content validity, major efforts were placed to select items that were known to be impacted by a stroke and had been identified by stroke survivors as important to their health-related quality of life (HRQoL). A pilot study among long-term stroke survivors indicated good discriminative ability of the PBSI. Scaling properties and preference-weights obtained from individuals with stroke and their caregivers were used to develop a temporary summative score. There is evidence of convergent validity of the PBSI with the SF-36. Construct validation of the PBSI showed that the PBSI was able to differentiate HRQoL of individuals with stroke according to their level of functional independence and to their stroke severity at onset.The development of a multiattribute utility function will need to be undertaken in the near future for further refinement of the PBSI

Use of comparative performance indicators in rehabilitation

International audienceBACKGROUNDThe development of performance indicators that enable benchmarking between organizations is an important mechanism for accountability, organizational learning, and performance improvement. In the province of Quebec (Canada), 21 rehabilitation organizations developed a common set of performance indicators through interorganizational collaboration.PURPOSEThe aims of this study were to describe the rehabilitation organizations' use of a common set of performance indicators and to identify the factors influencing such use.APPROACHA qualitative survey was performed. Individual semistructured interviews were conducted with executives (n = 18) working at 16 rehabilitation organizations using a common set of performance indicators. A thematic analysis of the factors of use was performed according to the Consolidated Framework for Implementation Research. The use of performance indicators was categorized as purposeful, political, or passive.FINDINGSOur results showed that all organizations used the common set of performance indicators. Four factors were identified as important to all the rehabilitation organizations to explain their interest in comparative performance indicators: the need to develop their own performance indicators, the compatibility of performance information with organizational needs, complexity/simplicity of performance information, and the support offered by their common association. Sixty-three percent of rehabilitation organizations made purposeful or political use of performance indicators. Three main factors contributed to typify those organizations from the others: the perceived quality of the performance indicators, the leadership of decision makers, and the resources available.PRACTICE IMPLICATIONSOur results showed that use of performance indicators can support the initiation of projects for improving the quality of care. Key recommendations are proposed to decision makers that may enhance performance indicators' use