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Improving the efficiency of discharge summary completion by linking to preexisiting patient information databases.

ABSTRACT: The discharge summary (DS) is a document that contains the diagnosis, comorbidities, procedures, complications, and future treatment plan for a particular patient after an inpatient hospital stay. The DS is completed by junior medical staff and is delivered to the general practitioner (GP). DS completion is time consuming and tedious, and DSs are usually not completed within the recommended time frame after a patient is discharged. Time spent completing DSs correlate to junior doctor overtime, which costs the hospital money in overtime pay. Information that is required in the DS is generally already entered into numerous electronic information systems in the hospital, including the "electronic patient journey board" which lists all the patients in a given ward with their clinical information. This information is constantly updated by all staff in the hospital. A program was developed that transferred this information directly into the patient DS. Ten junior doctors in two departments kept daily records for one week of the time spent compiling DSs, the time at work and the actual overtime claimed, before and after the introduction of the intervention. The mean (± SD) time for DS compilation per week reduced by 2.8 (± 2.4) hours from 10.0 (±3.5) hours (p<0.01) and the mean overtime worked per week reduced by 2.8 (± 3.1) hours from 8.5 (± 4.4) hours (p<0.05). The mean overtime claimed reduced by 1.8 (± 2.8) hours from 5.3 (± 5.4) hours per week (p<0.05), resulting in reduction in mean overtime payment of $114.95 from $290.57 per doctor, per week. Extrapolating to the 60 ward based junior doctors, the potential annual savings for the hospital budget are over $350,000. Additionally, the number of DSs completed within 48 hours increased from 45% to 58%. In summary, the transfer of electronic data from the electronic patient journey board to the discharge summary program has yielded improvements in DS completion rates and overtime worked by medical staff, resulting in significant reduction in overtime costs.

SUBMITTER: Chan S

PROVIDER: S-EPMC4645715 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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Improving the efficiency of discharge summary completion by linking to preexisiting patient information databases.

Chan Samuel S Maurice Andrew P AP Pollard Clifford W CW Ayre Stephen J SJ Walters Darren L DL Ward Helen E HE

BMJ quality improvement reports 20140516 1

The discharge summary (DS) is a document that contains the diagnosis, comorbidities, procedures, complications, and future treatment plan for a particular patient after an inpatient hospital stay. The DS is completed by junior medical staff and is delivered to the general practitioner (GP). DS completion is time consuming and tedious, and DSs are usually not completed within the recommended time frame after a patient is discharged. Time spent completing DSs correlate to junior doctor overtime, w ...[more]

PMID: 26734261

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Project description:BackgroundThere is a growing impetus to reorganize the hospital discharge process to reduce avoidable readmissions and costs. The aim of this study was to provide insight into hospital discharge problems and underlying causes, and to give an overview of solutions that guide providers and policy-makers in improving hospital discharge.MethodsThe Intervention Mapping framework was used. First, a problem analysis studying the scale, causes, and consequences of ineffective hospital discharge was carried out. The analysis was based on primary data from 26 focus group interviews and 321 individual interviews with patients and relatives, and involved hospital and community care providers. Second, improvements in terms of intervention outcomes, performance objectives and change objectives were specified. Third, 220 experts were consulted and a systematic review of effective discharge interventions was carried out to select theory-based methods and practical strategies required to achieve change and better performance.ResultsIneffective discharge is related to factors at the level of the individual care provider, the patient, the relationship between providers, and the organisational and technical support for care providers. Providers can reduce hospital readmission rates and adverse events by focusing on high-quality discharge information, well-coordinated care, and direct and timely communication with their counterpart colleagues. Patients, or their carers, should participate in the discharge process and be well aware of their health status and treatment. Assessment by hospital care providers whether discharge information is accurate and understood by patients and their community counterparts, are important examples of overcoming identified barriers to effective discharge. Discharge templates, medication reconciliation, a liaison nurse or pharmacist, regular site visits and teach-back are identified as effective and promising strategies to achieve the desired behavioural and environmental change.ConclusionsThis study provides a comprehensive guiding framework for providers and policy-makers to improve patient handover from hospital to primary care.

Project description:Although Internet-delivered cognitive behaviour therapy (ICBT) for alcohol misuse is efficacious in research trials, it is not routinely available in practice. Moreover, there is considerable variability in engagement and outcomes of ICBT for alcohol misuse across studies. The Alcohol Change Course (ACC) is an ICBT program that is offered free of charge by an online clinic in Saskatchewan, Canada, which seeks to fill this service gap, while also conducting research to direct future improvements of ICBT. As there is limited qualitative patient-oriented research designed to improve ICBT for alcohol misuse, in this study, we describe patient perceptions of the ACC post-treatment. Specifically, post-treatment feedback was obtained from 191 of 312 patients who enrolled in the ACC. Qualitative thematic analysis was used to examine post-treatment written comments related to what patients liked and disliked about the course, which skills were most helpful for them, and their suggestions for future patients. The majority of patients endorsed being very satisfied or satisfied with the course (n = 133, 69.6%) and 94.2% (n = 180) perceived the course as being worth their time. Worksheets (n = 61, 31.9%) and reflections of others (n = 40, 20.9%) received the most praise. Coping with cravings (n = 63, 33.0%), and identifying and managing risky situations (n = 46, 24.1%) were reported as the most helpful skills. Several suggestions for refining the course were provided with the most frequent recommendation being a desire for increased personal interaction (n = 24, 12.6%) followed by a desire for wanting more information (n = 22, 11.5%). Many patients offered advice for future ACC patients, including suggestions to make a commitment (n = 47, 24.6%), do all of the work (n = 29, 15.2%), and keep a consistent approach to the course (n = 24, 12.6%). The results provide valuable patient-oriented directions for improving ICBT for alcohol misuse.

Project description:BackgroundInappropriate medication and polypharmacy increase morbidity, hospitalisation rate, costs and mortality in multimorbid patients. At hospital discharge of elderly patients, polypharmacy is often even more pronounced than at admission. However, the optimal discharge strategy in view of sustained medication appropriateness remains unclear. In particular, unreflectingly switching back to the pre-hospitalisation medication must be avoided. Therefore, both the patients and the follow-up physicians should be involved in the discharge process. In this study, we aim to test whether a brief medication review which takes the patients' priorities into account, combined with a standardised communication strategy at hospital discharge, leads to sustained medication appropriateness and extends readmission times among elderly multimorbid patients.MethodsThe study is designed as a two-armed, double-blinded, cluster-randomised trial, involving 42 senior hospital physicians (HPs) with their junior HPs and 2100 multimorbid patients aged 60 years or older. Using a randomised minimisation strategy, senior HPs will be assigned to either intervention or control group. Following instructions of the study team, the senior HPs in the intervention group will teach their junior HPs how to integrate a simple medication review tool combined with a defined communication strategy into their ward's discharge procedure. The untrained HPs in the control group will provide data on usual care, and their patients will be discharged following usual local routines. Primary outcome is the time until readmission within 6 months after discharge, and secondary outcomes cover readmission rates, number of emergency and GP visits, classes and numbers of drugs prescribed, proportions of potentially inappropriate medications, and the patients' quality of life after discharge. Additionally, the characteristics of both the HPs as well as the patients will be collected before the intervention. Process evaluation outcomes will be assessed parallel to the ongoing core study using qualitative research methods.DiscussionSo far, interventions to reduce polypharmacy are still scarce at the crucial interface between HPs and GPs. To our knowledge, this trial is the first to analyse the combination of a brief deprescribing intervention with a standardised communication strategy at hospital discharge and in the early post-discharge period.Trial registrationISRCTN, ISRCTN18427377 . Registered 11 January 2018.

Project description:Variation in the delivery of evidence-based care affects outcomes for patients with stroke. A range of hospital (organizational), patient, and clinical factors can affect care delivery. Clinical registries are widely used to monitor stroke care and guide quality improvement efforts within hospitals. However, hospital features are rarely collected. We aimed to explore the influence of hospital resources for stroke, in metropolitan and regional/rural hospitals, on the provision of evidence-based patient care and outcomes. The 2017 National Audit organizational survey (Australia) was linked to patient-level data from the Australian Stroke Clinical Registry (2016-2017 admissions). Regression models were used to assess the associations between hospital resources (based on the 2015 Australian National Acute Stroke Services Framework) and patient care (reflective of national guideline recommendations), as well as 90-180-day readmissions and health-related quality of life. Models were adjusted for patient factors, including the severity of stroke. Fifty-two out of 127 hospitals with organizational survey data were merged with 22 832 Australian Stroke Clinical Registry patients with an admission for a first-ever stroke or transient ischaemic attack (median age 75 years, 55% male, and 66% ischaemic). In metropolitan hospitals (n = 42, 20 977 patients, 1701 thrombolyzed, and 2395 readmitted between 90 and 180 days post stroke), a faster median door-to-needle time for thrombolysis was associated with ≥500 annual stroke admissions [-15.9 minutes, 95% confidence interval (CI) -27.2, -4.7], annual thrombolysis >20 patients (-20.2 minutes, 95% CI -32.0, -8.3), and having specialist stroke staff (dedicated medical lead and stroke coordinator; -12.7 minutes, 95% CI -25.0, -0.4). A reduced likelihood of all-cause readmissions between 90 and 180 days was evident in metropolitan hospitals using care pathways for stroke management (odds ratio 0.82, 95% CI 0.67-0.99). In regional/rural hospitals (n = 10, 1855 patients), being discharged with a care plan was also associated with the use of stroke clinical pathways (odds ratio 3.58, 95% CI 1.45-8.82). No specific hospital resources influenced 90-180-day health-related quality of life. Relevant to all international registries, integrating information about hospital resources with clinical registry data provides greater insights into factors that influence evidence-based care.

Project description:BackgroundTraditional discharge processes lack a patient-centred focus. This project studied the implementation and effectiveness of an individualized discharge tool across Ontario hospitals. The Patient Oriented Discharge Summary (PODS) is an individualized discharge tool with guidelines that was co-designed with patients and families to enable a patient-centred process.MethodsTwenty one acute-care and rehabilitation hospitals in Ontario, Canada engaged in a community of practice and worked over a period of 18 months to implement PODS. An effectiveness-implementation hybrid design using a triangulation approach was used with hospital-collected data, patient and provider surveys, and interviews of project teams. Key outcomes included: penetration and fidelity of the intervention, change in patient-centred processes, patient and provider satisfaction and experience, and healthcare utilization. Statistical methods included linear mixed effects models and generalized estimating equations.ResultsOf 65,221 discharges across hospitals, 41,884 patients (64%) received a PODS. There was variation in reach and implementation pattern between sites, though none of the between site covariates was significantly associated with implementation success. Both high participation in the community of practice and high fidelity were associated with higher penetration. PODS improved family involvement during discharge teaching (7% increase, p = 0.026), use of teach-back (11% increase, p < 0.001) and discussion of help needed (6% increase, p = 0.041). Although unscheduled healthcare utilization decreased with PODS implementation, it was not statistically significant.ConclusionsThis project highlighted the system-wide adaptability and ease of implementing PODS across multiple patient groups and hospital settings. PODS demonstrated an improvement in patient-centred discharge processes linked to quality standards and health outcomes. A community of practice and high quality content may be needed for successful implementation.

Project description:BackgroundDelays in patient flow and a shortage of hospital beds are commonplace in hospitals during periods of increased infection incidence, such as seasonal influenza and the COVID-19 pandemic. The objective of this study was to develop and evaluate the efficacy of machine learning methods at identifying and ranking the real-time readiness of individual patients for discharge, with the goal of improving patient flow within hospitals during periods of crisis.Methods and performanceElectronic Health Record data from Oxford University Hospitals was used to train independent models to classify and rank patients' real-time readiness for discharge within 24 hours, for patient subsets according to the nature of their admission (planned or emergency) and the number of days elapsed since their admission. A strategy for the use of the models' inference is proposed, by which the model makes predictions for all patients in hospital and ranks them in order of likelihood of discharge within the following 24 hours. The 20% of patients with the highest ranking are considered as candidates for discharge and would therefore expect to have a further screening by a clinician to confirm whether they are ready for discharge or not. Performance was evaluated in terms of positive predictive value (PPV), i.e., the proportion of these patients who would have been correctly deemed as 'ready for discharge' after having the second screening by a clinician. Performance was high for patients on their first day of admission (PPV = 0.96/0.94 for planned/emergency patients respectively) but dropped for patients further into a longer admission (PPV = 0.66/0.71 for planned/emergency patients still in hospital after 7 days).ConclusionWe demonstrate the efficacy of machine learning methods at making operationally focused, next-day discharge readiness predictions for all individual patients in hospital at any given moment and propose a strategy for their use within a decision-support tool during crisis periods.

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Improving the efficiency of discharge summary completion by linking to preexisiting patient information databases.

Publications

Improving the efficiency of discharge summary completion by linking to preexisiting patient information databases.

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