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Evaluation of a digitally-enabled care pathway for acute kidney injury management in hospital emergency admissions.

ABSTRACT: We developed a digitally enabled care pathway for acute kidney injury (AKI) management incorporating a mobile detection application, specialist clinical response team and care protocol. Clinical outcome data were collected from adults with AKI on emergency admission before (May 2016 to January 2017) and after (May to September 2017) deployment at the intervention site and another not receiving the intervention. Changes in primary outcome (serum creatinine recovery to ?120% baseline at hospital discharge) and secondary outcomes (30-day survival, renal replacement therapy, renal or intensive care unit (ICU) admission, worsening AKI stage and length of stay) were measured using interrupted time-series regression. Processes of care data (time to AKI recognition, time to treatment) were extracted from casenotes, and compared over two 9-month periods before and after implementation (January to September 2016 and 2017, respectively) using pre-post analysis. There was no step change in renal recovery or any of the secondary outcomes. Trends for creatinine recovery rates (estimated odds ratio (OR)?=?1.04, 95% confidence interval (95% CI): 1.00-1.08, p?=?0.038) and renal or ICU admission (OR?=?0.95, 95% CI: 0.90-1.00, p?=?0.044) improved significantly at the intervention site. However, difference-in-difference analyses between sites for creatinine recovery (estimated OR?=?0.95, 95% CI: 0.90-1.00, p?=?0.053) and renal or ICU admission (OR?=?1.06, 95% CI: 0.98-1.16, p?=?0.140) were not significant. Among process measures, time to AKI recognition and treatment of nephrotoxicity improved significantly (p?

SUBMITTER: Connell A

PROVIDER: S-EPMC6669220 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Evaluation of a digitally-enabled care pathway for acute kidney injury management in hospital emergency admissions.

Connell Alistair A Montgomery Hugh H Martin Peter P Nightingale Claire C Sadeghi-Alavijeh Omid O King Dominic D Karthikesalingam Alan A Hughes Cian C Back Trevor T Ayoub Kareem K Suleyman Mustafa M Jones Gareth G Cross Jennifer J Stanley Sarah S Emerson Mary M Merrick Charles C Rees Geraint G Laing Chris C Raine Rosalind R

NPJ digital medicine 20190731

We developed a digitally enabled care pathway for acute kidney injury (AKI) management incorporating a mobile detection application, specialist clinical response team and care protocol. Clinical outcome data were collected from adults with AKI on emergency admission before (May 2016 to January 2017) and after (May to September 2017) deployment at the intervention site and another not receiving the intervention. Changes in primary outcome (serum creatinine recovery to ≤120% baseline at hospital d ...[more]

PMID: 31396561

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Project description:BackgroundA significant number of patients who present to the emergency department (ED) following a fall or with other injuries require evaluation by a physical therapist. Traditionally, once emergent conditions are excluded in the ED, these patients are admitted to the hospital for evaluation by a physical therapist to determine whether they should be transferred to a sub-acute rehabilitation facility, discharged, require services at home, or require further inpatient care. Case management is typically used in conjunction with a physical therapist to determine eligibility for recommended services and to aid in placement.ObjectiveTo evaluate the benefit of using ED-based physical therapist and case management services in lieu of routine hospital admission.MethodsRetrospective, observational study of consecutive patients presenting to an urban, tertiary care academic medical center ED between December 1, 2017, and November 30, 2018, who had a physical therapist consult placed in the ED. We additionally evaluated which of these patients were placed into ED observation for physical therapist consultation, how many required case management, and ED disposition: discharged home from the ED or ED observation with or without services, placed in a rehabilitation facility, or admitted to the hospital.ResultsDuring the 12-month study period, 1296 patients (2.4% of the total seen in the ED) were assessed by a physical therapist. The mean age was 75.5 ± 15.2 and 832 (64.2%) were female. Case management was involved in 91.8% of these cases. The final patient disposition was as follows: admission 24.3% (95% CI = 22.1-26.7%), home discharge with or without services 47.8% (95% CI = 45.1-50.5%), rehabilitation (rehab) setting 27.9% (95% CI = 25.6%-30.4). The median (interquartile range) time in observation was 13.1 (6.0-20.3), 9.9 (1.8-15.8), and 18.4 (14.1-24.8) hours for patients admitted, discharged home, or sent to rehabilitation (P < 0.001). Among the 979 patients discharged home or sent to rehabilitation, 17 (1.7%) returned to the ED within 72 hours and were ultimately admitted.ConclusionGiven that the standard of care would otherwise be an admission to the hospital for 1 day or more for all patients requiring physical therapist consultation, an ED-based physical therapy and case management system serves as a viable method to substantially decrease hospital admissions and potentially reduce resource use, length of hospital stay, and cost both to patients and the health care system.

Project description:BackgroundACE Inhibitors (ACE-I) and Angiotensin-Receptor Antagonists (ARAs) are commonly prescribed but can cause acute kidney injury (AKI) during intercurrent illness. Rates of hospitalization with AKI are increasing. We aimed to determine whether hospital AKI admission rates are associated with increased ACE-I/ARA prescribing.Methods and findingsEnglish NHS prescribing data for ACE-I/ARA prescriptions were matched at the level of the general practice to numbers of hospital admissions with a primary diagnosis of AKI. Numbers of prescriptions were weighted for the demographic characteristics of general practices by expressing prescribing as rates where the denominator is Age, Sex, and Temporary Resident Originated Prescribing Units (ASTRO-PUs). We performed a mixed-effect Poisson regression to model the number of admissions for AKI occurring in each practice for each of 4 years from 1/4/2007. From 2007/8-2010/11, crude AKI admission rates increased from 0.38 to 0.57 per 1000 patients (51.6% increase), and national annual ACE-I/ARA prescribing rates increased by 0.032 from 0.202 to 0.234 (15.8% increase). There was strong evidence (p<0.001) that increases in practice-level prescribing of ACE-I/ARA over the study period were associated with an increase in AKI admission rates. The increase in prescribing seen in a typical practice corresponded to an increase in admissions of approximately 5.1% (rate ratio?=?1.051 for a 0.03 per ASTRO-PU increase in annual prescribing rate, 95%CI 1.047-1.055). Using the regression model we predict that 1,636 (95%CI 1,540-1,780) AKI admissions would have been avoided if prescribing rates were at the 2007/8 level, equivalent to 14.8% of the total increase in AKI admissions.ConclusionIn this ecological analysis, up to 15% of the increase in AKI admissions in England over a 4-year time period is potentially attributable to increased prescribing of ACE-I and ARAs. However, these findings are limited by the lack of patient level data such as indication for prescribing and patient characteristics.

Project description:ObjectivesHead injury is a common reason for emergency department (ED) attendance. Around 1% of patients have life-threatening injuries, while 80% of patients are discharged. National guidelines (Scottish Intercollegiate Guidelines Network (SIGN)) were introduced in Scotland with the aim of achieving early identification of those with acute intracranial lesions yet safely reducing hospital admissions.This study aims to assess the impact of these guidelines and any effect the national 4-hour ED performance target had on hospital admissions for head injury.SettingAll Scottish hospitals between April 1998 and March 2016.ParticipantsPatients admitted to hospital for head injury or traumatic brain injury (TBI) diagnosed by CT imaging identified using administrative Scottish Information Services Division data. There are 275 hospitals in Scotland. In 2015/2016, there were 571 221 emergency hospital admissions in Scotland.InterventionsThe SIGN head injury guidelines introduced in 2000 and 2009. The 4-hour ED target introduced in 2004.OutcomesThe monthly rate of hospital admissions for head injury and traumatic brain injury.Study designAn interrupted time series analysis.ResultsThe first guideline was associated with a reduction in monthly admissions of 0.14 (95% CI 0.09 to 4.83) per 100 000 population. The 4-hour target was associated with a monthly increase in admissions of 0.13 (95% CI 0.06 to 0.20) per 100 000 population. The second guideline reduced monthly admissions by 0.09 (95% CI-0.13 to -0.05) per 100 000 population. These effects varied between age groups.The guidelines were associated with increased admissions for patients with injuries identified by CT imaging-guideline 1: 0.06 (95% CI 0.004 to 0.12); guideline 2: 0.05 (95% CI 0.04 to 0.06) per 100 000 population.ConclusionIncreased CT imaging of head injured patients recommended by SIGN guidelines reduced hospital admissions. The 4-hour ED target and the increased identification of TBI by CT imaging acted to undermine this effect.

Project description:BackgroundOne reason for the introduction of digital technologies into health care has been to try to improve safety and patient outcomes by providing real-time access to patient data and enhancing communication among health care professionals. However, the adoption of such technologies into clinical pathways has been less examined, and the impacts on users and the broader health system are poorly understood. We sought to address this by studying the impacts of introducing a digitally enabled care pathway for patients with acute kidney injury (AKI) at a tertiary referral hospital in the United Kingdom. A dedicated clinical response team-comprising existing nephrology and patient-at-risk and resuscitation teams-received AKI alerts in real time via Streams, a mobile app. Here, we present a qualitative evaluation of the experiences of users and other health care professionals whose work was affected by the implementation of the care pathway.ObjectiveThe aim of this study was to qualitatively evaluate the impact of mobile results viewing and automated alerting as part of a digitally enabled care pathway on the working practices of users and their interprofessional relationships.MethodsA total of 19 semistructured interviews were conducted with members of the AKI response team and clinicians with whom they interacted across the hospital. Interviews were analyzed using inductive and deductive thematic analysis.ResultsThe digitally enabled care pathway improved access to patient information and expedited early specialist care. Opportunities were identified for more constructive planning of end-of-life care due to the earlier detection and alerting of deterioration. However, the shift toward early detection also highlighted resource constraints and some clinical uncertainty about the value of intervening at this stage. The real-time availability of information altered communication flows within and between clinical teams and across professional groups.ConclusionsDigital technologies allow early detection of adverse events and of patients at risk of deterioration, with the potential to improve outcomes. They may also increase the efficiency of health care professionals' working practices. However, when planning and implementing digital information innovations in health care, the following factors should also be considered: the provision of clinical training to effectively manage early detection, resources to cope with additional workload, support to manage perceived information overload, and the optimization of algorithms to minimize unnecessary alerts.

Dataset Information

Evaluation of a digitally-enabled care pathway for acute kidney injury management in hospital emergency admissions.

Publications

Evaluation of a digitally-enabled care pathway for acute kidney injury management in hospital emergency admissions.

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