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Service factors causing delay in specialist assessment for TIA and minor stroke: a qualitative study of GP and patient perspectives.

ABSTRACT: To understand how service factors contribute to delays to specialist assessment following transient ischaemic attack (TIA) or minor stroke.Qualitative study using semistructured interviews, analysis by constant comparison.Leicester, UK.Patients diagnosed with TIA or minor stroke, at hospital admission or in a rapid-access TIA clinic (n=42), general practitioners (GPs) of participating patients if they had been involved in the patients' care (n=18).Accounts from patients and GPs of factors contributing to delay following action to seek help from a healthcare professional (HCP).The following categories of delay were identified. First, delay in assessment in general practice following contact with the service; this related to availability of same day appointments, and the role of the receptionist in identifying urgent cases. Second, delays in diagnosis by the HCP first consulted, including GPs, optometrists, out-of-hours services, walk-in centres and the emergency department. Third, delays in referral after a suspected diagnosis; these included variable use of the ABCD(2) (Age, Blood pressure, Clinical features, Duration, Diabetes) risk stratification score and referral templates in general practice, and referral back to the patients' GP in cases where he/she was not the first HCP consulted.Primary and emergency care providers need to review how they can best handle patients presenting with symptoms that could be due to stroke or TIA. In general practice, this may include receptionist training and/or triage by a nurse or doctor. Mechanisms need to be established to enable direct referral to the TIA clinic when patients whose symptoms have resolved present to other agencies. Further work is needed to improve diagnostic accuracy by non-specialists.

SUBMITTER: Wilson A

PROVIDER: S-EPMC4874118 | biostudies-other | 2016 May

REPOSITORIES: biostudies-other

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Project description:BackgroundPrompt treatment following Transient Ischemic Attack (TIA) can reduce the risk of subsequent stroke and disability. However, many patients delay in making contact with medical services. This study aimed to explore TIA patients' accounts of delay between symptom onset and contacting medical services including how decisions to contact services were made and the factors discussed in relation to delay.MethodsTwenty interviews were conducted with TIA patients in England. Using a previous systematic review as an initial framework, interview data were organised into categories of symptom recognition, presence of others and type of care sought. A thematic analysis was then conducted to explore descriptions of care-seeking relevant to each category.ResultsDelay in contacting medical services varied from less than an hour to eight days. Awareness of typical stroke symptoms could lead to urgent action when more severe TIA symptoms were present but could lead to delay when experienced symptoms were less severe. The role of friends and family varied widely from deciding on and enacting care-seeking decisions to simply providing transport to the GP practice. When family or friends played a greater role, and both made and enacted care-seeking decisions, delays were often shorter, even when patients themselves failed to identify symptoms. Healthcare professionals also impacted on patients' care-seeking with greater delays in seeking further care for the same episode described when patients perceived a lack of urgency during initial healthcare interactions.ConclusionsThis study provides new information on patients' decisions to contact medical services following TIA and identifies overlapping factors that can lead to delay in receiving appropriate treatment. While recognition of symptoms may contribute to delay in contacting medical services, additional factors, including full responsibility being taken by others and initial healthcare interactions, can over-ride or undermine the importance of patients' own identification of TIA.

Project description:Background and Purpose: The risk of recurrent stroke following a transient ischemic attack (TIA) or minor stroke is high, despite of a significant reduction in the past decade. In this study, we investigated the feasibility of using artificial neural network (ANN) for risk stratification of TIA or minor stroke patients. Methods: Consecutive patients with acute TIA or minor ischemic stroke presenting at a tertiary hospital during a 2-year period were recruited. We collected demographics, clinical and imaging data at baseline. The primary outcome was recurrent ischemic stroke within 1 year. We developed ANN models to predict the primary outcome. We randomly down-sampled patients without a primary outcome to 1:1 match with those with a primary outcome to mitigate data imbalance. We used a 5-fold cross-validation approach to train and test the ANN models to avoid overfitting. We employed 19 independent variables at baseline as the input neurons in the ANN models, using a learning algorithm based on backpropagation to minimize the loss function. We obtained the sensitivity, specificity, accuracy and the c statistic of each ANN model from the 5 rounds of cross-validation and compared that of support vector machine (SVM) and Naïve Bayes classifier in risk stratification of the patients. Results: A total of 451 acute TIA or minor stroke patients were enrolled. Forty (8.9%) patients had a recurrent ischemic stroke within 1 year. Another 40 patients were randomly selected from those with no recurrent stroke, so that data from 80 patients in total were used for 5 rounds of training and testing of ANN models. The median sensitivity, specificity, accuracy and c statistic of the ANN models to predict recurrent stroke at 1 year was 75%, 75%, 75%, and 0.77, respectively. ANN model outperformed SVM and Naïve Bayes classifier in our dataset for predicting relapse after TIA or minor stroke. Conclusion: This pilot study indicated that ANN may yield a novel and effective method in risk stratification of TIA and minor stroke. Further studies are warranted for verification and improvement of the current ANN model.

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Service factors causing delay in specialist assessment for TIA and minor stroke: a qualitative study of GP and patient perspectives.

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